Public facilities in health systems are essential for improving access and ensuring equity. Public facility utilization for inpatient care in rural areas increased between the most recent National Sample Survey (NSS) health rounds of 2014 and 2017-2018. This study conducted a decomposition analysis to identify the underlying causes that contributed to this increase in public facility utilization.

The study used the latest available unit-level data from the 2014 and 2017-2018 NSS Health Survey. The study employed multivariate decomposition analysis based on the existing behavioral model of access to health facilities.

The public facility utilization for inpatient care in rural areas increased from 41.6% to 45.3% between 2014 and 2017-2018. The results of the multivariate decomposition analysis indicate that differences in coefficients account for 81% of the increase in the utilization of public health facilities. Within the coefficients, this increase is mainly driven by the increase in the utilization of public facilities among those residing in states with relatively better public health systems (54.3%) and among the richest consumption class (45.4%).

The utilization of public facilities for inpatient care increased between 2014 and 2017-2018 in rural India. This increase in utilization, though, was mostly driven by increased utilization among people residing in states with relatively better public health systems and by those belonging to the richer consumption classes. The study indicates that improved public health systems can play an important role in increasing footfall in public health facilities.

Variations in healthcare perceptions, knowledge and behaviors across different socioeconomic strata and regions underscore disparities in healthcare access and satisfaction levels. The Covid-19 pandemic exposed the vulnerability of forest-dependent communities to increased disease risks and the need to involve local communities in pandemic preparedness through education and awareness regarding disease and ill-health. This article synthesizes the challenges with respect to health and disease, healthcare services, and access to the same among forest-fringe communities.

We undertook a Knowledge, Attitudes and Practices (KAP) survey of 35 villages in and around the Mudumalai Tiger Reserve in southern India. Semi-structured interviews using open-ended questions were used to collect information from households on these broad themes: self-reported health issues, healthcare-seeking behaviors, opinion on the healthcare options available to them, risky-behaviors related to disease and ill-health, and self-perceived risk factors for disease or ill-health. Data was also collected on socioeconomic status. Reponses were converted to nominal categories and analyzed using mixed methods.

Our respondents self-reported a mix of acute (31%) and chronic (62%) health issues, with undiagnosed fever being the most reported acute ailment (57%). Access to healthcare services showed a preference for government facilities for primary care (63%) but private facilities for surgical procedures (30%, p < 0.05). A substantial portion (15%) reported paying more than a month's income for healthcare services. Education levels seemed to influence perceptions, with higher education correlating to a broader understanding of disease causation (p < 0.05). Lack of basic amenities such as clean drinking water, proper methods of garbage and sewage disposal, and access to nutritious food seem to be important risk factors for disease and illness. Overall, majority of the respondents (76%) expressed satisfaction with government healthcare services, reporting dignified treatment (64%) and regular visits by healthcare workers (74%, p < 0.05).

Our study highlights the need to incorporate socioeconomic inequities and barriers while devising healthcare outreach, awareness and service program. We suggest interventions aimed at enhancing healthcare access and promoting healthier practices that mirror the specific needs and socioeconomic dynamics of the local communities for improved community health and well-being.

There is an enormous unmet need for near vision correction with glasses. The cost and lack of felt need are important barriers. This study, which was conducted among a rural population of northern India, was designed to assess whether the short-term use of a pair of near-vision glasses can increase the desirability for individuals to procure subsequent pairs and to further assess the willingness to pay thresholds.

This study followed a quasi-experimental design. Uncorrected presbyopes were given near vision glasses at their doorstep, to carry out their chosen near work task for half- an- hour (this use of glasses was referred to as 'experience' for the purpose of this study). They were then referred to nearby vision centres to procure glasses. This 'experience' given was used as a proxy for having used the first pair. At the vision centre, glasses were offered at no cost, for Indian Rupees 75 (US$0.90) and for Indian Rupees 100 (US$1.20) in the first, second and third phases of the study, respectively. The usual price at which near-vision glasses were otherwise available in the region was Indian Rupees150 (US$1.8). The uptake of glasses after having received the near correction experience was tracked via the Peek Vision platform.

The most preferred chosen near work task by the study participants were stitching, after threading the needle and using a mobile phone. The uptake of near-vision glasses from the vision centre after providing the desired experience was 81.4% (835/1,026), 48.3% (699/1,446) and 29.2% (93/318) when the glasses were provided free of cost, at $0.90 and at $1.20 respectively. The difference between these three phases was statistically significant (p < 0.001). Uptake was found to be increase with need for increasing lens power (p < 0.01) and especially among those who reported the 'experience' as 'very good' or 'excellent'(p < 0.001). Uptake decreased with increasing age (p < 0.01). Differences in uptake between sexes and between those with or without the availability of a mode of transport in their household were not found to be significant.

Having experience with the first pair of near-vision glasses can increase desirability of procuring subsequent pairs. Offering the second pair at a reduced price can increase the uptake substantially in this setting, suggesting that active outreach to correct near vision in tandem with accessible and affordable marketplaces for reading glasses could provide a viable solution to scale near vision correction.

Along with bodily suffering, tuberculosis causes various socio-economic problems, including major crises on the personal end. For medically admitted chronic TB patients, a hospital is a place of more than only treatment that over time becomes a living place. The present study explored the individual patients' perspectives on TB treatment.

The present ethnographic study was undertaken among the admitted tuberculosis patients of both sexes in the 18-70 age group in a referral government TB hospital in Odisha. Thirty selected in-depth interviews and case studies were taken to collect the data.

TB challenges and in several contexts shatters the socio-economic conditions of such patients bringing several crises at the individual and interpersonal levels. The findings of the study suggest that social marginalization, poor socio-economic conditions, loss of livelihood, desertion, and abandonment of women and elderly, gender disparity while seeking health and treatment, gender-based family negligence, stigma, superstitious beliefs, and traditional medicinal practices had heavy bearings in tuberculosis patients' lives.

The present hospital ethnography on TB patients indicates that emphasizing patients' perspectives, provision of socio-psychological support at community and institutional levels in the hospital ward, and addressing tuberculosis-associated concerns have important positive outcomes in patients' lives; it will also have major support in treatment adherence and early recovery by ensuring successful TB management and elimination.

Despite the multitude of healthcare services available in India, health inequalities persist. People in low-resource settings are both disadvantaged and have the greatest need for healthcare. To address these disparities and achieve universal health coverage, healthcare services need to be tailored to the specific needs of this population.

This study aimed to understand health and healthcare perceptions of people in slums and villages in and around Bengaluru, a city in the southern part of India. It was conducted in partnership with Bangalore Baptist Hospital, a charity hospital dedicated to supporting underserved populations in this region.

The study employed qualitative methods. Twenty-eight open-ended interviews and eight focus groups were conducted with residents of selected slums and villages in and around Bengaluru. The interviews were transcribed verbatim, translated to English and analyzed applying thematic analysis.

The study finds that participants defined health as the absence of illness, the ability to work, and the result of a good lifestyle. With regards to healthcare expectations, the analysis shows the themes of the "good doctor," recovering quickly, cost affordability, cleanliness, and emergency services and diagnostic facilities. In addition, stigma related to healthcare, was identified, especially among residents of villages. Participants highlight the importance of good relationships with healthcare providers and accessible healthcare facilities to improve healthcare uptake in Bengaluru's slums and rural areas. This study also shows that achieving universal health coverage requires addressing not only direct costs but also other associated expenses like travel and lost wages, considering healthcare costs as a comprehensive expense tied to patients' living conditions. These results contribute to the growing body of literature on health and healthcare perceptions in low-resource settings, offering insights that may inform future research and context-specific strategies for improving healthcare access and delivery.

India's population complexity presents varied challenges in genetic research, and while facilities have gained traction in tier-1 and -2 cities, reliance on international collaborations often delays such investigations. COVID-19 further exacerbated the issues with such sample sharing. Congenital Hyperinsulinism (CHI) is a rare genetic disorder of pancreatic β-cells causing hypoglycaemia in children due to abnormal insulin secretion. Given India's high birth rate and consanguineous populations, annual CHI cases are estimated to be around up to 10,000, with up to 50% having unexplained genetic causes. Diffuse or atypical lesions in such patients often necessitate near-total-pancreatectomy, risking pancreatic exocrine insufficiency and diabetes, requiring lifelong therapy. Also, novel genetic variations complicate accurate diagnosis, risk assessment, and counselling, emphasising the need for rapid genetic assessment to prevent neurological injuries and inform treatment decisions. Despite significant efforts at many institutes, there are no dedicated organisations for CHI in India. With the implementation of the National Policy for Rare Diseases 2021, we plan to form a non-profit organisation, "Congenital Hyperinsulinism India Association (CHIA)", comprising paediatric endocrinologists, paediatricians, geneticists, and independent researchers. The aims of this association are to generate a national database registry of patients, formulate a parent support group and CHIA consortium, design patient information leaflets, as well as foster genomic collaborations and promote clinical trials. Such steps will help sensitise the health authorities and policy makers, urging them to improve the allocation of health budgets for rare diseases, as well as empower patients and their families, contributing towards a better quality of life.

To assess the prevalence of minimum dietary diversity (MDD) and explore its associated determinants among children aged 6-60 months in rural Puducherry.

143 children aged 6-60 months were selected from rural areas of Puducherry using systematic random sampling in a cross-sectional study conducted between January and February 2024. Data were collected through a semi-structured questionnaire based on World Health Organization (WHO) guidelines for Infant and Young Child Feeding (IYCF) practices. MDD was defined as the consumption of at least five of eight food groups for children aged 6-24 months and seven food groups for children aged 25-60 months. Sociodemographic factors, food group consumption, and anthropometric measurements were also recorded. Statistical analysis involved Chi-square tests and binary logistic regression to identify associations between MDD and various factors.

55.24% of the children achieved MDD. Children aged 25-60 months (P < 0.001) and those with mothers over 30 years old (P = 0.001) were significantly more likely to meet MDD. Underweight (P = 0.001) and severely underweight children (P = 0.001) had a lower likelihood of achieving MDD. Factors such as gender, birth order, and socioeconomic status were not significantly associated with MDD.

Despite a higher MDD rate than the national average, a substantial proportion of children in rural Puducherry do not meet dietary diversity standards, particularly younger (< 24 months) and underweight children.

To evaluate the impact of a mobile messaging service that delivers World Health Organization recommendations on postnatal care to families from birth through six weeks postpartum via a messaging platform.

We randomized tertiary hospitals in four Indian states into two groups. In the treatment group, 15 hospitals promoted the messaging service to families in maternity wards before discharge following a recent birth. Nine control hospitals provided standard in-hospital information. From mid-March 2021 to mid-January 2022, we recruited mothers to participate in the study. Consenting mothers completed a face-to-face baseline survey before hospital discharge after birth and a follow-up phone survey roughly 6 weeks postpartum. Using logistic regression controlling for state-fixed effects and baseline covariates, we examine intent-to-treat estimates and report risk differences.

A total of 21 937 participants met the inclusion criteria. We observed significant positive impacts in 7 out of 11 neonatal and maternal care practices examined (P-values < 0.05). Breastfeeding increased by 3.1 percentage points, recommended cord care practices by 4.1 percentage points, skin-to-skin care with mothers by 9.2 percentage points, and skin-to-skin care by fathers by 2.2 percentage points. For recommended maternal dietary practices, we observed significant increases in adherence to guidelines advising no reduction of food intake (7.1 percentage points), no reduction of water intake (7.9 percentage points) and no restrictions on food items (10.8 percentage point; P-values < 0.01).

This study demonstrates that concise yet comprehensive digital messaging delivered to families during the postpartum period can effectively encourage recommended postnatal care practices.

People with dementia can be disadvantaged in accessing health and social care services for diagnosis and care depending on where they live (including rural vs suburban vs. urban; postcode; country). Without an existing comprehensive synthesis of the evidence to date, the aim of this systematic review was to explore the evidence on geographical inequalities in accessing services for dementia diagnosis and care.

Five databases were searched in June 2024, including studies conducted in any country, published from 2010 onwards, and in English or German. Titles and abstracts, and then full texts, were screened by at least two reviewers each. Any discrepancies were resolved in discussion with a third reviewer. Data were extracted by two researchers and synthesised narratively.

From 1321 studies screened and 49 full texts read, 32 studies were included in the final review. Most studies were conducted in the US, followed by the UK. Geographical inequalities in dementia are most often evidenced in relation to availability and suitability of services in different regions within a country, or a lack thereof. People with dementia residing in rural areas often experience challenges in receiving a timely diagnosis and accessing health and social care. No research has addressed geographical inequalities in accessing residential care. Innovative models on improving efficiency and quantity of diagnosis rates in rural Canada and Australia emerged.

Health and social care services in rural areas need to be increased and made more suitable to the needs of people with dementia. More research needs to explore inequalities experienced by people with rarer forms of dementia. National strategies to overhaul the health and social care system need to focus on the rurality issue and recommend strategies to improve service access.

India's economy is among the fastest growing in the world. However, a large share of informal workforce is a common characteristic of country's economy, comprises a significant portion of most of its labour markets. This workforce often receives low wages and lacks benefits such as strong social security and health coverage for all. The majority of healthcare spending in India is private. As India's population ages and the informal sector expands, it is expected that many of these workers will continue to work beyond the retirement age to bear their own healthcare costs due to lack of savings, pensions, and the precarious nature of their employment. In this context, this study estimates the burden of out-of-pocket (OOP) payments on India's informal older workers compared to their formal counterparts, using data from the first wave of the nationally representative Longitudinal Ageing Study in India. According to estimates from the two-part regression model, informal older workers pay, on average, INR 1113 (P < 0.01) and INR 55 (P < 0.05) less than their formal counterparts for inpatient and outpatient care, respectively. Further, probit regression models revealed that the burden of combined (both inpatient and outpatient) OOP payments exceeding (by 40, 20 and 10%) of their income is significantly higher among informal older workers compared to formal older workers. The study underscores the need for strengthening of universal health insurance schemes to ensure everyone has access to medical services without experiencing financial hardship. It also advocates for policies specifically tailored towards informal workers, considering their unique challenges with regard to livelihoods and healthcare security. In particular, this encompasses bolstering the existing social security and healthcare system, and related policies for ensuring financial security against OOP payments, especially for informal workers and all the population in general.

Neonatal care is essential for the well-being of newborns, particularly premature or critically ill patients. Despite advancements in medical technology and evidence-based practice, India faces significant challenges in neonatal nursing, including resource limitations, inconsistent training, and inadequate policy support. This paper examines the current state of neonatal nursing in India, highlighting disparities between urban and rural areas, and comparing them to global practices. It explores systemic issues affecting neonatal care, such as inadequate educational frameworks, a shortage of trained faculty, and insufficient clinical exposure. We outline a comprehensive approach to address these challenges, including the introduction of Neonatal Nurse Practitioner programs, enhancements in specialized training, promotion of evidence-based practices, and integration of technology. We also emphasize the need for stronger policy support and increased funding to improve the neonatal care infrastructure. By adopting these recommendations, India can make significant strides towards improving neonatal outcomes and aligning itself with global health targets.

Nipah virus (NiV) is a zoonotic threat that has caused recurrent outbreaks in Bangladesh since 2001, raising significant public health concerns. This study provides a descriptive analysis of NiV outbreaks from 2001 to 2024, examining trends in infection and death rates and their correlation with climatic factors such as temperature, humidity, and rainfall. The findings highlight significant spikes in NiV cases during specific years, with environmental factors, particularly temperature and precipitation, showing solid correlations with outbreak patterns. The study also explores the impact of population dynamics on transmission risks, including urbanization and density. By focusing on these factors, this research supports the development of targeted public health interventions in high-risk areas, particularly in Bangladesh's northwestern and central districts, where recurrent outbreaks have been observed. These insights improve surveillance and preventive strategies for mitigating future NiV outbreaks.

It is widely assumed that telehealth tools like mHealth (mobile health), telemedicine, and tele-education can supplement the efficiency of Healthcare Providers (HCPs). We conducted a systematic review of evidence on the barriers and facilitators associated with the use of telehealth by HCPs in India. A systematic literature search following a pre-registered protocol (https://doi.org/10.17605/OSF.IO/KQ3U9 [PROTOCOL DOI]) was conducted on PubMed. The search strategy, inclusion, and exclusion criteria were based on the World Health Organization's action framework on Human Resources for Health (HRH) and Universal Health Coverage (UHC) in India with a specific focus on telehealth tools. Eligible articles published in English from 1st January 2001 to 17th February 2022 were included. One hundred and six studies were included in the review. Of these, 53 studies (50%) involved mHealth interventions, 25 (23.6%) involved telemedicine interventions whereas the remaining 28 (26.4%) involved the use of tele-education interventions by HCPs in India. In each category, most of the studies followed a quantitative study design and were mostly published in the last 5 years. The study sites were more commonly present in states in south India. The facilitators and barriers related to each type of intervention were analyzed under the following sub-headings- 1) Human resource related, 2) Application related 3) Technical, and 4) Others. The interventions were most commonly used for improving the management of mental health, non-communicable diseases, and maternal and child health. The use of telehealth has not been uniformly studied in India. The facilitators and barriers to telehealth use need to be kept in mind while designing the intervention. Future studies should focus on looking at region-specific, intervention-specific, and health cadre-specific barriers and facilitators for the use of telehealth.

With an emphasis on spatial health disparities, this study examines how COVID-19 has affected healthcare access and inequality in India. The study developed the Healthcare Access Index (HAI) and Healthcare Inequality Index (HII) to assess the pandemic's effects on healthcare. The study addresses spatial health disparities in healthcare access and inequality, filling gaps in the literature. The final aim of the study is to offer policy suggestions to lessen healthcare inequities in India, particularly in the context of COVID-19.

The study incorporates secondary data from publicly accessible databases such as the National Family Health Survey, Niti-Ayog and Indian Census databases and employs a quantitative research design. The impact of the COVID-19 pandemic on healthcare access and healthcare inequality in India is examined using the HAI and the HII. The five dimensions of healthcare access - availability, accessibility, accommodation, cost and acceptability - were used in developing the HAI. The study uses a panel data analysis methodology to examine the HAI and HII scores for 19 states over the pre-COVID-19 (2015) and post-COVID-19 (2020) periods. In order to investigate the connection between healthcare access, healthcare inequality and the COVID-19 pandemic, the analysis employs statistical tests such as descriptive statistics, correlation analysis, factor analysis and visualization analysis.

According to the study, COVID-19 impacted healthcare access and inequality in India, with notable regional inequalities between states. The pandemic has increased healthcare disparities by widening the gap between states with high and low HII ratings. Healthcare access is closely tied to healthcare inequality, with lower levels of access being associated with more significant levels of inequality. The report advises governmental initiatives to lessen healthcare disparities in India, such as raising healthcare spending, strengthening healthcare services in underperforming states and enhancing healthcare infrastructure.

For Indian healthcare authorities and practitioners, the study has significant ramifications. In light of the COVID-19 pandemic, there has been a main focus on addressing geographic gaps in healthcare access and inequality. The report suggests upgrading transportation infrastructure, lowering out-of-pocket costs, increasing health insurance coverage and enhancing healthcare infrastructure and services in underperforming states. The HAI and the HII are tools that policymakers can use to identify states needing immediate attention and appropriately spend resources. These doable recommendations provide a framework for lowering healthcare disparities in India and enhancing healthcare outcomes for all communities.

The study's originality resides in establishing the HAI and HII indices, using panel data analysis and assessing healthcare inequality regarding geographic disparities. Policy choices targeted at lowering healthcare disparities and enhancing healthcare outcomes for all people in India can be informed by the study's practical consequences.

The Integrated Ayushman Bharat - Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) and Mahatma Jyotirao Phule Jan Arogya Yojana (MJPJAY) is a public-funded health insurance scheme in the state of Maharashtra. The scheme provides end-to-end cashless services for identified diseases through a network of hospitals from both the government sector as well as the private sector, covered under the scheme. AB-PMJAY is a scheme of the government of India. Such publicly funded health insurance schemes help to reduce out-of-pocket expenditure (OOPE). The study was designed with the objective of describing an epidemiological profile of subjects registered under the Integrated MJPJAY and Pradhan Mantri Jan Arogya Yojana at a tertiary care center and identifying the utilization pattern of the scheme.

It was a record-based, retrospective cross-sectional study. The study population comprised all the cases registered under Integrated AB-PMJAY and MJPJAY from September 1, 2023, to November 30, 2023, at the tertiary care center. The sample size consists of all the cases (n=1978) registered under the scheme at the tertiary care center from September 1, 2023, to November 30, 2023.

The majority of the subjects (44.39%, n=878) belonged to the age group 40-59 years. In our study, 77.45% (n=1532) of the study subjects got pre-authorization approval. In the case of the pattern of utilization, 56.46% (n=865) of the study subjects utilized medical treatment, and 43.54% (n=667) of the study subjects utilized surgical treatment. In surgical treatment, utilization was higher in polytrauma (15.92%, n=244), followed by general surgery (7.70%, n=118) and ear, nose, and throat (ENT) surgery (5.68%, n=87). In the case of medical treatment, utilization was more in general medicine (14.30%, n=219), followed by nephrology (11.49%, n=176) and neurology (10.64%, n=163).

The majority of the subjects availing themselves of registration in the scheme were in the age group 40-59 years. The majority of the subjects utilized medical treatment. In the case of specialty utilization, polytrauma was utilized more, followed by general medicine. The utilization was least in the case of cardiothoracic surgery, followed by dermatology, hematology, and pediatric surgery.

About 14% of adolescents experience mental illnesses globally. The rate increased after the COVID-19 pandemic. This study aimed to estimate the prevalence of COVID-related major mental illnesses (depression and anxiety) and their predictors among adolescents. This community-based cross-sectional study was conducted among 350 adolescents aged 10-19 years, recruited from rural communities in West Bengal, India. The study areas included 27 subcenters in the Budge Budge II Block, which comprised 191,709 population and 45,333 households. Data were collected from randomly selected households by trained research assistants through house-to-house interviews. Pretested standardized questionnaires, Patient Health Questionnaire (PHQ) for depression, Generalized Anxiety Disorder (GAD) for anxiety, and a demographic questionnaire were used for data collection. The prevalence of anxiety was 35.7% (125 out of 350), and the prevalence of depression was 30.0% (105 out of 350). Females had significantly higher scores of anxiety (6.67 ± 4.76 vs. 3.42 ± 3.17, respectively, p < 0.001) and depression (5.51 ± 4.99 vs. 3.26 ± 3.86, respectively, p < 0.001) compared to males. Adolescents who had COVID-19 cases or deaths in the family had significantly higher scores of anxiety and depression compared to those who did not have these events. In multivariate analysis, the statistically significant predictors of anxiety were COVID-19 death in the family, COVID-19 cases in the family, female gender, and a lower income group (p < 0.001 for all). For depression, the significant predictors included COVID-19 death in the family, COVID-19 cases in the family, female gender, a lower income group, and a higher age group in adolescents (p < 0.001 for all). Based on the study results, we recommend that immediate attention is needed for adolescents' mental health support and coping with stresses following COVID-19.

To assess the pattern and determinants of healthcare service utilisation among adults with coronary artery disease (CAD) in a rural setting in Kerala, India.

A community-based cross-sectional analysis conducted within a study cohort.

The study was conducted from January 2022 to March 2022 within the ENDIRA Cohort (Epidemiology of Non-communicable Diseases In Rural Areas) in the rural part of Aluva municipality of Ernakulam district, Kerala, India, which comprises five adjacent panchayats with a population of approximately 100, 000 individuals.

Patients with CAD aged 35-80 years from the ENDIRA cohort with a history of at least one event of myocardial infarction in the past decade.

The main outcome measured was the inadequacy of healthcare service utilisation among patients with CAD. The factors evaluated included age, gender, socioeconomic status, insurance, out of pocket expenses, choice of health care facility for follow up, distance from health centre as well as reported alcohol use, tobacco use and healthcare satisfaction RESULTS: The study encompassed 623 participants with a mean age of 65.12 (±8.55) years, of whom 71% were males. The prevalence of inadequate utilisation of health services was 58.7%. The independent predictors of underutilisation included reported alcohol consumption (adjusted OR (AOR) 2.36; 95% CI 1.41 to 3.95), living more than 20 km from healthcare facilities (AOR 1.96; 95% CI 1.14 to 3.37) as well as the preferences for specific doctors and adequate services at healthcare facilities (AOR 3.43; 95% CI 1.46 to 8.04). The patients with monthly CAD medication expenses exceeding Rs4000 had 0.26 times lesser odds to underuse healthcare services (AOR 0.26; 95% CI 0.10 to 0.65).

The study reveals a suboptimal pattern of healthcare service utilisation among patients with CAD. Ensuring community access to standardised, high-quality follow-up care is crucial for enhancing healthcare utilisation following CAD.

The concept of viewing a patient as an organization within the context of digital healthcare is an innovative and evolving concept. Traditionally, the patient-doctor relationship has been centered around the individual patient and their interactions with healthcare providers. However, with the advent of technology and digital healthcare solutions, the dynamics of this relationship are changing. Digital healthcare platforms and technologies enable patients to have more control and active participation in managing their health and healthcare processes. This shift empowers patients to take on a more proactive role, similar to how an organization functions with various stakeholders, goals, and strategies. The prevalence of mobile phones and wearables is regarded as an important factor in the acceptance of digital health.

This study aimed to identify the factors affecting adoption intention using the TAM (Technology Acceptance Model), HB (Health Belief model), and the UTAUT (Unified Theory of Acceptance and Use of Technology). The argument is made that the adoption of the technology enables patients to create resources (ie, data), transforming patients from mere consumers to producers as well.

PLS analysis showed that health beliefs and perceived ease of use had positive effects on the perceived usefulness of digital healthcare, and system capabilities positively impacted perceived ease of use. Furthermore, perceived service, the customer's willingness to change and reference group influence significantly impacted adoption intention (b > 0.1, t > 1.96, P < .05). However, privacy protection and data security, online healthcare resources, and user guidance were not positively associated with perceived usefulness.

Perceived usefulness, the customer's willingness to change, and the influence of the reference group are decisive variables affecting adoption intention among the general population, whereas privacy protection and data security are indecisive variables. Online resources and user guides do not support adoption intentions.

The public health landscape in North-East India is marked by the foundational principle of equitable health care provision, a critical endeavor considering the region's intricate geography and proximity to international borders. Health care workers grapple with challenges, such as treacherous routes, limited infrastructure, and diverse cultural nuances, when delivering essential medical services. Despite improvements since the National Rural Health Mission in 2005, challenges persist, prompting a study to identify health care workers' challenges and alternative strategies in Manipur and Nagaland.

This study aims to document the challenges experienced by health care workers during service delivery in the geographically challenging terrains of North-East India.

This study is part of the i-DRONE (Indian Council of Medical Research's Drone Response and Outreach for North East) project, which aims to assess the feasibility of drone-mediated vaccine and medical delivery. This study addresses the secondary objective of the i-DRONE project. In-depth interviews of 29 health care workers were conducted using semistructured questionnaires in 5 districts (Mokokchung and Tuensang in Nagaland, and Imphal West, Bishnupur, and Churachandpur in Manipur). Nineteen health facilities, including primary health care centers, community health centers, and district hospitals, were selected. The study considered all levels of health care professionals who were in active employment for the past 6 months without a significant vacation and those who were engaged in ground-level implementation, policy, and maintenance activities. Data were recorded, transcribed, and translated, and subsequently, codes, themes, and subthemes were developed using NVivo 14 (QSR International) for thematic analysis.

Five themes were generated from the data: (1) general challenges (challenges due to being an international borderline district, human resource constraints, logistical challenges for medical supply, infrastructural issues, and transportation challenges); (2) challenges during the COVID-19 pandemic (increased workload, lack of diagnostic centers, mental health challenges and family issues, routine health care facilities affected, stigma and fear of infection, and vaccine hesitancy and misinformation); (3) perception and awareness regarding COVID-19 vaccination; (4) alternative actions or strategies adopted by health care workers to address the challenges; and (5) suggestions provided by health care workers. Health care workers demonstrated adaptability by overcoming these challenges and provided suggestions for addressing these challenges in the future.

Health care workers in Manipur and Nagaland have shown remarkable resilience in the face of numerous challenges exacerbated by the pandemic. Despite infrastructural limitations, communication barriers, and inadequate medical supply distribution in remote areas, they have demonstrated adaptability through innovative solutions like efficient data management, vaccination awareness campaigns, and leveraging technology for improved care delivery. The findings are pertinent for not only health care practitioners and policymakers but also the broader scientific and public health communities. However, the findings may have limited generalizability beyond Manipur and Nagaland.

In China, as people's standard of living improves and the medical service system becomes more sophisticated, the demand for higher-quality and improved healthcare services is steadily rising. Inequality in health resource allocation (HRA) is more pronounced in ethnic minority areas (EMAs) than in developed regions. However, little research exists on high-quality medical resources (HQMRs) in China's EMAs. Hence, we examined the spatiotemporal dynamic evolution of HQMRs in China's EMAs from 2007 to 2021 and identified the main factors affecting their respective HQMR levels.

We selected tertiary hospitals to represent the quality of healthcare resources. We employed descriptive statistical techniques to analyze changes in the distribution of HQMRs from 2007 to 2021. We used the Dagum Gini coefficient and kernel density approach to analyze the dynamic evolution of HQMRs in China's EMAs. We utilized the least squares dummy variable coefficient (LSDVC) to identify key factors affecting HQMR.

The number of HQMRs in each EMA has risen annually. The average number of tertiary hospitals increased from 175 in 2007 to 488 in 2021. The results of the Dagum Gini coefficient revealed that the differences in the HQMR level in China's EMAs have slowly declined, and intra-regional disparities have now become the primary determining factor influencing overall variations. The kernel density plot indicated that the HQMR level improved significantly during the study period, but bifurcation became increasingly severe. Using the LSDVC for analysis, we found that gross domestic product (GDP) per capita, the size of the resident population, and the number of students enrolled in general higher education exhibited a significant negative correlation with HQMR levels, while GDP and urbanization rate had a significant promoting effect.

The HQMR level in EMAs has risen rapidly but remains inadequate. The differences in HQMR between regions have continued to narrow, but serious bifurcation has occurred. Policymakers should consider economic growth, education, and population size rather than simply increasing the number of HQMRs everywhere.

The caste system and resulting social exclusion are important social determinants of health inequity in India. This article critically analyzes the influence of the caste system on health inequity in India, starting with a historical perspective and moving to the current status. The article argues that the caste system has deprived Dalits and tribal people in India of achieving health equity. The programs to promote health are often disease-specific and not culturally informed, leading to poor attention at the policy level to the intersecting disadvantages that make Dalits and tribal communities vulnerable, resulting in poor health. The authors suggest strengthening and promoting primary care, improving health access for Dalit and tribal populations, and the need for pivotal changes in the medical education system, shifting the emphasis from specialized care to training family physicians to be oriented toward community health needs, keeping health equity in perspective.

This article emphasizes the pivotal role of economic evaluation in the management of cardiovascular diseases (CVDs) within the Indian healthcare system. It explores the importance of economic evaluation methodologies such as cost-effectiveness analysis, cost-utility analysis, and cost-benefit analysis in guiding informed healthcare decisions related to CVD management. Additionally, it discusses the unique challenges and opportunities surrounding health technology assessment (HTA) and economic evaluation specific to India, providing insights into potential areas for improvement. By giving precedence to economic evaluation, India can optimize the allocation of resources, improve patient outcomes, and alleviate the economic burden associated with CVDs. The implementation of these recommendations has the potential to significantly enhance the efficiency and effectiveness of CVD management strategies in India, ultimately leading to improved healthcare outcomes for the population.

As the global population ages, the burden of cancer is increasing. We aimed to assess the impact of population ageing on cancer-related disability-adjusted life years (DALYs).

We used the decomposition method to estimate the impact of ageing, population growth, and epidemiological change on cancer-related DALYs from 1990 to 2019, stratified by 204 countries/territories and by their sociodemographic index (SDI). This approach separates the net effect of population ageing from population growth and change in age-specific DALY rates.

Cancer-related DALYs among individuals aged ≥65 years increased by 95.14% between 1990 (52.25 million) and 2019 (101.96 million). Population growth was the main contributor to cancer-related DALYs (92.38 million, attributed proportion: 60.91%), followed by population ageing (41.38 million, 27.28%). Cancer-related DALYs attributed to population ageing followed a bell-shaped pattern when stratified by SDI, meaning they peaked in middle-SDI countries. Cancer-related DALYs attributed to ageing increased in 171 and decreased in 33 countries/territories. The top three cancer types with the highest increase in the absolute number of cancer-related DALYs associated with ageing were tracheal, bronchus, and lung (8.72 million); stomach (5.06 million); and colorectal (4.28 million) cancers, while the attributed proportion of DALYs was the highest in prostate (44.75%), pancreatic (40.93%), and non-melanoma skin (38.03%) cancers.

Population ageing contributed to global cancer-related DALYs, revealing a bell-shaped pattern when stratified by socioeconomic development, affecting middle-SDI countries the most. To respond to the growing ageing population and reduce cancer-related DALYs, it is necessary to allocate health care resources and prioritize interventions for older adults.

Identifying factors causing treatment delays is essential for guiding decisions on resource allocation within trauma systems. The three-delay model categorizes delays into: (i) deciding to seek medical care (Phase 1), (ii) recognizing the need for transporting to a medical facility (Phase 2), and (iii) receiving suitable and timely treatment (Phase 3). We seek to investigate factors influencing delays in trauma patients using the three-delay model.

We conducted an 18-month prospective observational study at a tertiary hospital, involving consenting adults (age >18 years) admitted for various traumas. We conducted a detailed interview and extracted objective patient data from medical records using a predetermined form. We observed and analyzed factors influencing the duration of the three phases.

Phase 1 delays were observed in 83 patients, Phase 2 delays in 200 patients, and Phase 3 delays in 233 patients. In Phase 3 delays, a shortage of human resources was the most frequently identified cause of delay, affecting 68 out of 233 patients (29%). In severe trauma cases (injury severity score ≥16), any phase delay showed a significant association with poor outcomes (P < 0.05).

The three-delay model offers a valuable framework for understanding and pinpointing the factors contributing to delays in both prehospital and inhospital services.

Cardiovascular diseases are a major public health issue and the leading cause of mortality globally. The global economic burden of out-of-pocket expenditure (OOPE) for cardiovascular surgeries and procedures is substantial, with average costs being significantly higher than other treatments. This imposes a heavy economic burden. Government insurance schemes like Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) aim to enhance affordability and access to cardiac care.

This retrospective study analyzed OOPE incurred for top cardiac surgeries under AB-PMJAY, private insurance, and uninsured patients at a tertiary care teaching hospital in Karnataka. Data of 1021 patients undergoing common cardiac procedures from January to July 2023 were analyzed using descriptive statistics (mean, median) and the Shapiro-Wilk test for normality. The study aims to evaluate financial risk protection offered by AB-PMJAY compared to private plans and inform effective policy-making in reducing the OOPE burden for surgeries in India.

The study analyzed OOPE across 1021 patients undergoing any of four surgeries at a tertiary care teaching hospital in Karnataka. AB-PMJAY patients incurred zero OOPE across all surgeries. Uninsured patients faced the highest median OOPE, ranging from ₹1,15,292 (1390.57 USD) to ₹1,72,490 (2080.45 USD) depending on surgery type. Despite the presence of private insurance, the median out-of-pocket expenditure ranged from ₹1,689 (20.38 USD) to ₹68,788 (829.67 USD). Significant variations in OOPE were observed within different payment groups. Private insurance in comparison with AB-PMJAY had limitations like co-payments, deductibles, and limited coverage resulting in higher OOPE for patients.

The results illustrate the efficacy of AB-PMJAY in reducing the financial burden and improving the affordability of cardiac procedures compared to private insurance. This emphasizes the significance of programmmes funded by the government in reducing the OOPE burden and ensuring equitable healthcare access. The comprehensive and particular estimates of OOPE for different surgical procedures, categorized by payment methods provide valuable information to guide the development of policies that aim to reduce OOPE and progress toward universal health coverage in India.

Exercise and medication have similar benefits in reducing blood pressure (BP); however, hypertension management initiatives primarily focus on medicines. This is due to scarce research on the effectiveness of implementation strategies for optimal exercise adoption and adherence. Smartphones were found to be effective in delivering hypertension care and increase exercise adherence. Despite this, only a small number of research projects in India have used smartphones as a strategy for managing hypertension.

We hypothesized that smartphone application-based care would lead to higher exercise adherence among adults (30-79 years) with hypertension compared to those who receive usual care. It will be a multicentric, randomized controlled, parallel-design, superiority clinical trial. The outcome assessor and data analyst will be blinded to group allocation. Participants in the intervention group will receive mobile application-based care for 6 weeks. Participants in the usual care group will receive a standard intervention. Both groups will receive the same number of follow-ups.

The primary outcome is the difference in the proportion of people adherent to the recommended level of physical activity evaluated using an exercise adherence rating scale in the intervention group and the control group. Exercise adoption will be measured as the percentage of eligible participants in each study setting willing to initiate the exercise program. The secondary outcome includes differences in systolic and diastolic BP and self-management (evaluated using the Hypertension Self-Care Profile). The trial outcome will be accompanied by a process evaluation.

This research will inform about the comparative effectiveness of conventional and m-health interventions for exercise adoption and adherence in people with hypertension in resource-constrained settings.

Health policies reflect the ideas and interests of the actors involved. The Indian Government constituted many health committees for policy recommendations on myriad issues concerning public health, ranging from tribal health to drug regulation. However, little is known about their composition and backgrounds. We reviewed these committees to map the actors and institutions.

We elicited information on all relevant health committees available in the public domain. All were constituted post-independence, except two, with recommendations that remain pertinent to date. Data for chairpersons and members - their professions, gender, institutions, and location were extracted and analysed. Reliable online sources were used to collate the information.

We identified 23 national health committees from 1943 to 2020 with available reports. There were 25 chairpersons and 316 members. All except three chairpersons were men. Among members, only 11% were women. The majority (51%) had experience working in health systems; however, most were medical doctors, with negligible representation of other cadres. We noted the centralization of location, with 44% of members based in the national capital of Delhi. Government administrators were maximally represented (55%), followed by medical academia (19%). Post-2000, we have observed slightly improved diversity across some parameters like gender (15% women vs 9% earlier) and affiliation. However, the centralization of the location to the national capital had increased (55% post-2000 vs. 39% pre-2000).

Indian health committees lack diversity in representation from multiple perspectives. Henceforth, health policymakers should prioritize including diverse social, geographical, and health systems actors to ensure equitable policymaking.

Postnatal care (PNC) utilisation within 24 hours of delivery is a critical component of health care services for mothers and newborns. While substantial geographic variations in various health outcomes have been documented in India, there remains a lack of understanding regarding PNC utilisation and underlying factors accounting for these geographic variations. In this study, we aimed to partition and explain the variation in PNC utilisation across multiple geographic levels in India.

Using India's 5th National Family Health Survey (2019-21), we conducted four-level logistic regression analyses to partition the total geographic variation in PNC utilisation by state, district, and cluster levels, and to quantify how much of theses variations are explained by a set of 12 demographic, socioeconomic, and pregnancy-related factors. We also conducted analyses stratified by selected states/union territories.

Among 149 622 mother-newborn pairs, 82.29% of mothers and 84.92% of newborns were reported to have received PNC within 24 hours of delivery. In the null model, more than half (56.64%) of the total geographic variation in mother's PNC utilisation was attributed to clusters, followed by 26.06% to states/union territories, and 17.30% to districts. Almost 30% of the between-state variation in mother's PNC utilisation was explained by the demographic, socioeconomic, and pregnancy-related factors (i.e. state level variance reduced from 0.486 (95% confidence interval (CI) = 0.238, 0.735) to 0.320 (95% CI = 0.152, 0.488)). We observed consistent results for newborn's PNC utilisation. State-specific analyses showed substantial geographic variation attributed to clusters across all selected states/union territories.

Our findings highlight the consistently large cluster variation in PNC utilisation that remains unexplained by compositional effects. Future studies should explore contextual drivers of cluster variation in PNC utilisation to inform and design interventions aimed to improve maternal and child health.

Human rights provide a universal foundation for pursuing justice in public health in order to achieve the dignity of all individuals. In spite of international attempts to promote human rights in the context of health, a significant portion of India's indigenous population continues to have a limited understanding of these rights.

This study aims to analyze tribal people's attitudes towards human rights in health care. The population consists of tribal residents from Manbazar - I and Puncha Blocks in the Puruliya district of West Bengal, India. Tribal young adults between the ages of 18 and 35 were the subject of a cross-sectional study.

A pretested questionnaire was used to collect data. MS Excel and SPSS 27 were used for analysis. A descriptive analysis was carried out.

The participants' mean scores for awareness, accessibility and communication, autonomy and sexual and reproductive health and sexual and reproductive health rights (SRHR) were 8.06, 15.76, 7.35 and 32.52 revealing a moderate perception level among the young adult tribal population in the selected blocks.

A holistic focus of the governmental and other non-governmental organizations towards the tribals is required. Introducing various aspects of human rights in healthcare in the education curriculum along with community outreach would by all likelihood improve the perception of 'Human Rights' and thus help in better utilization of various services including health among tribal populations in India.

Digital health has the potential to help achieve the Sustainable Development Goals (SDGs) by supporting health systems and enhancing health promotion and disease prevention. However, obstacles such as restricted internet access, inadequate technical assistance, clinical resource disparity, and insufficient user training can impede the utilization and growth of digital health. Researchers should examine healthcare providers' and patients' perspectives to identify challenges and enhance usability.

The study was conducted among women health volunteers, staff nurses, and patients who used the VinCense mobile application (MedIoTek Health Systems Private Limited, Chennai, India) to record vital signs. A semi-structured questionnaire was used to evaluate participants' sociodemographic characteristics, perception of digital health monitoring, and patients' attitudes toward digital health monitoring devices. The data were analyzed using R programming, Version 4.3.3 (www.r-project.org). A multinomial logistic regression analysis was used to examine the association between sociodemographic characteristics and attitudes of patients toward digital health monitoring.

The study involved 27 healthcare providers and 406 patients. The majority (66.6%) of healthcare providers found the device convenient and efficient. Around 74.1% faced technical difficulties like internet connectivity and device battery issues. Among patients, 79.8% were satisfied with their digital health monitoring experience, 86.2% found device usage comfortable and 78.1% expressed satisfaction with health education and feedback. Around 354 (87.2%) patients stated that technology has improved healthcare, and 326 (80.3%) said that health technologies have improved ease. The results indicate that female gender (p=0.00), age above 50 years (p=0.04), and occupation status as a semiskilled worker (p=0.03), skilled worker (p=0.00), and clerical/shop/farmer (p=0.01) were statistically significant and associated with the positive attitude for digital health monitoring.

The digital health monitoring experience was found satisfactory by both patients and healthcare providers. The mobile health (mHealth) has tremendous potential for enhancing patient health. Therefore, it is advisable to contemplate an expansion of the VinCense mHealth Platform and other digital solutions to improve service delivery in primary healthcare setups.

Background Effective self-care is crucial for maintaining health among older adults in resource-constrained communities. This study examined self-care practices, health-seeking behaviors, and associated factors among older adults in urban slums in India. Materials and methods A mixed methods study was conducted among 432 adults aged ≥65 years. Participants were selected through multistage random sampling from five slum areas. Self-care practices, health-seeking behaviors, demographic information, chronic conditions, self-efficacy, and health literacy were assessed through interviews. The qualitative data was explored through in-depth interviews with 30 participants. Results Inadequate health literacy (194, 45%) and low self-efficacy (162, 37.5%) were common. While 324 (75%) had an adequate diet and 378 (87.5%) took medications properly, only 86 (20%) monitored diabetes complications. Only 194 (45%) of the patients underwent recommended cancer screening, and 324 (75%) of the patients saw doctors ≥twice a year. Age, sex, education, income, comorbidities, self-efficacy, and health literacy had significant associations. Alongside facilitators such as social support, barriers such as limited healthcare access and suboptimal prevention orientation emerged. Conclusion Suboptimal prevention orientation and overreliance on secondary care instead of self-care among elderly people are problematic given the limited use of geriatric services. Grassroots health workers can improve health literacy and self-efficacy through home visits to enable self-care. Healthcare access inequities for vulnerable groups merit policy attention.

Obesity rates are increasing almost everywhere in the world, although the pace and timing for this increase differ when populations from developed and developing countries are compared. The sharp and more recent increase in obesity rates in many Latin American countries is an example of that and results from regional characteristics that emerge from interactions between multiple factors. Aware of the complexity of enumerating these factors, we highlight eight main determinants (the physical environment, food exposure, economic and political interest, social inequity, limited access to scientific knowledge, culture, contextual behaviour and genetics) and discuss how they impact obesity rates in Latin American countries. We propose that initiatives aimed at understanding obesity and hampering obesity growth in Latin America should involve multidisciplinary, global approaches that consider these determinants to build more effective public policy and strategies, accounting for regional differences and disease complexity at the individual and systemic levels.

The coronavirus pandemic that began in December 2019, has had an unprecedented impact on the global economy, health systems and infrastructure, in addition to being responsible for significant mortality and morbidity worldwide. The "new normal" has brought along, unforeseen challenges for the scientific community, owing to obstructions in conducting field-based research in lieu of minimizing exposure through in-person contact. This has had greater ramifications for the LMICs, adding to the already existing concerns. As a response to COVID-19 related movement restrictions, public health researchers across countries had to switch to remote data collections methods. However, impediments like lack of awareness and skepticism among participants, dependence on paper-based prescriptions, dearth of digitized patient records, gaps in connectivity, reliance on smart phones, concerns with participant privacy at home and greater loss to follow-up act as hurdles to carrying out a research study virtually, especially in resource-limited settings. Promoting health literacy through science communication, ensuring digitization of health records in hospitals, and employing measures to encourage research participation among the general public are some steps to tackle barriers to remote research in the long term. COVID-19 may not be a health emergency anymore, but we are not immune to future pandemics. A more holistic approach to research by turning obstacles into opportunities will not just ensure a more comprehensive public health response in the coming time, but also bolster the existing infrastructure for a stronger healthcare system for countries.

Multimorbidity among older adults is a growing concern in India. Multimorbidity is defined as the coexistence of two or more chronic health conditions in an individual. Primary studies have been conducted on risk factors of multimorbidity in India, but no systematic review has been conducted on this topic. This systematic review aimed to synthesize the existing evidence on risk factors of multimorbidity among older adults in India.

The JBI and Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines were followed. Several databases were searched for published and unpublished studies until August 03, 2022. The screening of titles and abstracts and full texts, data extraction, and quality assessment were conducted by two independent reviewers. Any disagreements were resolved through discussion or by involving a third reviewer. Data synthesis was conducted using narrative synthesis and random effects meta-analysis, where appropriate.

Out of 8781 records identified from the literature search, 16 and 15 studies were included in the systematic review and meta-analysis, respectively. All included studies were cross-sectional, and 10 met a critical appraisal score of more than 70%. Broadly, sociodemographic, lifestyle, and health conditions-related factors were explored in these studies. The pooled odds of multimorbidity were higher in people aged ≥70 years compared to 60-69 years (odds ratio (OR) 1.51; 95% confidence interval (CI) 1.20-1.91), females compared to males (1.38; 1.09-1.75), single, divorced, separated, and widowed compared to married (1.29; 1.11-1.49), economically dependent compared to economically independent (1.54; 1.21-1.97), and smokers compared to non-smokers (1.33; 1.16-1.52) and were lower in working compared to not working (0.51; 0.36-0.72).

This systematic review and meta-analysis provided a comprehensive picture of the problem by synthesizing the existing evidence on risk factors of multimorbidity among older adults in India. These synthesized sociodemographic and lifestyle factors should be taken into consideration when developing health interventions for addressing multimorbidity among older adults in India.

The authors have measured the health expenditure-induced removable poverty in India using nationally representative consumer expenditure surveys of three quinquennial rounds conducted by the National Sample Survey Organization (NSSO). This study has also focused on the reflections of Ayushman Bharat-Pradhan Mantri Jan Arogya Yojana (AB-PMJAY), the world's largest Government-funded health insurance scheme, on these poverty rates in the country. The study has used headcount, payment gap, and concentration index to measure the economic burden and impoverishment impact of out-of-pocket (OOP) health expenditure. The analysis shows that the incidence and depth of poverty are substantially understated because of overlooking OOP health expenditure in the country's standard poverty measure. Outpatient care contributes almost four times more than inpatient care to health expenditure-induced impoverishment in India, though this care has not been covered in the AB-PMJAY. Muslims, among all religious groups, Scheduled Castes among social groups, and casual labourers among different household types are more vulnerable to OOP health expenditure-induced removable poverty in the country. Poverty, in general, has dropped significantly, but the share of health expenditure-induced poverty in general poverty has increased substantially. It has risen considerably in rural areas and among India's most vulnerable sections of society in the past 20 years. We emphasised that universal health insurance coverage is needed in India. Implementing comprehensive health insurance schemes that cover both inpatient and outpatient care can help alleviate the financial burden of healthcare expenses on households and contribute to reducing poverty rates.

Health inequalities are systematic differences in health between people, which are avoidable and unfair. Globally, more political strategies are required to address health inequalities, which have increased since the global SARS-CoV-2/COVID-19 pandemic, with a disproportionate impact on children. This scoping review aimed to identify and collate information on how hospitals around the world that deliver care to children have addressed health inequalities.

Scoping review focused solely on grey literature.

Following Joanna Briggs Institute guidelines, a four-step approach to identifying literature was adopted.

Overton, OpenGrey, OpenMD, Trip Database, DuckDuckGo, Google, targeted websites and children's hospital websites were searched on March 2023 for items published since 2010.

Retrieved items were screened against clear inclusion and exclusion criteria before data were extracted by two independent reviewers using a data extraction tool. Studies were tabulated by a hospital. A meta-analysis was not conducted due to the varied nature of studies and approaches.

Our study identified 26 approaches to reduction of health inequalities, from 17 children's hospitals. Approaches were categorised based on their size and scope. Seven approaches were defined as macro, including hospital-wide inequality strategies. Ten approaches were classed as meso, including the establishment of new departments and research centres. Micro approaches (n=9) included one-off projects or interventions offered to specific groups/services. Almost half of the reported approaches did not discuss the evaluation of impact.

Children's hospitals provide a suitable location to conduct public health interventions. This scoping review provides examples of approaches on three scales delivered at hospitals across high-income countries. Hospitals with the most comprehensive and extensive range of approaches employ dedicated staff within the hospital and community. This review indicates the value of recruitment of both public health-trained staff and culturally similar staff to deliver community-based interventions.

The first Lancet Oncology Commission on Global Cancer Surgery was published in 2015 and serves as a landmark paper in the field of cancer surgery. The Commission highlighted the burden of cancer and the importance of cancer surgery, while documenting the many inadequacies in the ability to deliver safe, timely, and affordable cancer surgical care. This Commission builds on the first Commission by focusing on solutions and actions to improve access to cancer surgery globally, developed by drawing upon the expertise from cancer surgery leaders across the world. We present solution frameworks in nine domains that can improve access to cancer surgery. These nine domains were refined to identify solutions specific to the six WHO regions. On the basis of these solutions, we developed eight actions to propel essential improvements in the global capacity for cancer surgery. Our initiatives are broad in scope, pragmatic, affordable, and contextually applicable, and aimed at cancer surgeons as well as leaders, administrators, elected officials, and health policy advocates. We envision that the solutions and actions contained within the Commission will address inequities and promote safe, timely, and affordable cancer surgery for every patient, regardless of their socioeconomic status or geographic location.

Cancer care poses a significant economic burden in India, where noncommunicable diseases contribute to a large number of deaths and disability-adjusted life-years. Despite economic growth, equitable wealth distribution remains a challenge, leading to inequalities in healthcare access. India's healthcare system is primarily privatized, financed through out-of-pocket expenditure (OOPE), and lacks coverage for a majority of the population. As a result, individuals without financial means face catastrophic health consequences when seeking necessary healthcare. OOPE in India's healthcare system is a major concern, with medicines accounting for a significant portion of expenses, followed by diagnostic tests and consultation fees. Nonmedical expenses also contribute to the financial burden. Cancer care specifically faces substantial financial challenges, with high treatment costs, reduced workforce participation, and the need for distress financing. Cancer-related OOPE is predominantly borne by patients and their families, leading to significant financial strain. The lack of comprehensive health insurance coverage and limited access to publicly funded healthcare services exacerbate the problem. Catastrophic health expenditure (CHE) in cancer care is prevalent, pushing households into financial distress and potentially impoverishment. Efforts have been made to address this issue, such as increasing public spending on healthcare and implementing health insurance schemes. However, challenges remain in ensuring their effectiveness and reach. The role of family care physicians is crucial in supporting patients and their families during catastrophic health expenditures related to cancer-related palliative care. They coordinate care, provide advocacy, emotional support, symptom management, and facilitate end-of-life discussions. Comprehensive measures are needed to strengthen healthcare infrastructure, improve access to affordable cancer care, enhance health insurance coverage, and implement supportive measures for cancer patients. Additionally, promoting preventive measures and early detection can help reduce the need for expensive treatments and decrease the risk of catastrophic health expenditures.

To assess the prevalence and determinants of cardiometabolic disease (CMD), and the factors associated with healthcare utilisation, among people with CMD.

Using a cross-sectional design, 11,657 participants were recruited from randomly selected villages in 3 regions located in Kerala and Andhra Pradesh from 2014 to 2016. Multivariable logistic regression was used to identify factors independently associated with CMD and healthcare utilisation (public or private).

Thirty-four per cent (n = 3629) of participants reported having ≥1 CMD, including hypertension (21.6%), diabetes (11.6%), heart disease (5.0%) or chronic kidney disease (CKD) (1.6%). The prevalence of CMD was progressively greater in regions of greater socio-economic position (SEP), ranging from 19.1% to 40.9%. Among those with CMD 41% had sought any medical advice in the last month, with only 19% utilising public health facilities. Among people with CMD, those with health insurance utilised more healthcare (age-gender adjusted odds ratio (AOR) (95% confidence interval (CI)): 1.31 (1.13, 1.51)) as did those who reported accessing private rather than public health services (1.43 (1.23, 1.66)).

The prevalence of CMD is high in these regions of rural India and is positively associated with indices of SEP. The utilisation of outpatient health services, particularly public services, among those with CMD is low.

Uterine fibroid is a common gynecological disorder that affects women of reproductive age and has emerged as a major public health concern. The symptoms have a negative influence on both their physical health and quality of life. The cost of treatment has a significant impact on the disease's burden. Even though its origin is uncertain, estrogen is thought to be a key player in fibroid pathophysiology. Many theories, including those based on genetic and environmental factors, explain what causes hyper-estrogenic condition in fibroid patients. One such possibility that is currently being explored is the hypothesis that an altered gut microbiome can contribute to the development of diseases characterized by estrogen dominance. Gut dysbiosis is often a "hot area" in the health sciences. According to a recent study, uterine fibroid patients have altered gut microbiome. A variety of risk factors influence both fibroid development and gut homeostasis. Diet, lifestyle, physical activity, and environmental contaminants have an impact on estrogen and the gut flora. A better understanding of uterine fibroids' pathophysiology is required to develop effective preventative and treatment options. A few ways by which the gut microbiota contributes to UF include estrogen, impaired immune function, inflammation, and altered gut metabolites. Therefore, in the future, while treating fibroid patients, various strategies to deal with changes in the gut flora may be advantageous. For developing suggestions for clinical diagnosis and therapy, we reviewed the literature on the relationship between uterine fibroids and the gut microbiota.

Low density of formal care providers in rural India results in restricted and delayed access to standardized management of hypertension. Task-sharing with pharmacies, typically the first point of contact for rural populations, can bridge the gap in access to formal care and improve health outcomes. In this study, we implemented a hypertension care program involving task-sharing with twenty private pharmacies between November 2020 and April 2021 in two blocks of Bihar, India. Pharmacists conducted free hypertension screening, and a trained physician offered free consultations at the pharmacy. We calculated the number of subjects screened, initiated on treatment (enrolled) and the change in blood pressure using the data collected through the program application. Of the 3403 subjects screened at pharmacies, 1415 either reported having a history of hypertension or had elevated blood pressure during screening. Of these, 371 (26.22%) were enrolled in the program. Of these, 129 (34.8%) made at least one follow-up visit. For these subjects, the adjusted average difference in systolic and diastolic blood pressure between the screening and follow-up visits was -11.53 (-16.95 to -6.11, 95% CI) and -4.68 (-8.53 to -0.82, 95% CI) mmHg, respectively. The adjusted odds of blood pressure being under control in this group during follow-up visits compared to screening visit was 7.07 (1.29 to 12.85, 95% CI). Task-sharing with private pharmacies can lead to early detection and improved control of blood pressure in a resource-constrained setting. Additional strategies to increase patient screening and retention rates are needed to ensure sustained health benefits.

Stroke is a significant cause of mortality and disability in India, with its economic impact on the rise. This study aims to investigate the prevalence and factors associated with stroke among the elderly population in seven north-eastern states of India and its economic consequences. Data from the initial phase of the Longitudinal Ageing Study in India (2017-2018) were utilized, and bivariate and multivariate analyses were done. Stroke prevalence (1.53%) was notable among both genders, with approximately 1% in females and 2.3% in males. Individuals with low physical activity, higher socio-economic status, and unemployment faced a higher risk of stroke. Females exhibited a 60% lower likelihood [AOR 0.40; (CI 0.250-0.627)] of stroke compared to males and hypertension was a significant risk factor. Stroke patients incur up to INR 50,000 of financial burden, with a considerable proportion facing disability in comprehension and speech. The economic burden of stroke-related hospitalization was significantly high, emphasizing the need for government-funded health insurance to cover stroke-related medications and reducing out-of-pocket expenses for patients seeking treatment in healthcare facilities. The study highlights the urgency for better schemes to address the growing threat of strokes in the north-eastern parts of India for comprehensively tackling this public health challenge.

With an aging population, India is facing a growing burden of cardiovascular diseases (CVDs). Existing programs on CVD risk factors are mostly based on state and district data, which overlook health disparities within macro units.

To quantify and geovisualize the extent of small area variability within districts in CVD risk factors (hypertension, diabetes, and obesity) in India.

This cross-sectional study analyzed nationally representative data from the National Family Health Survey 2019-2021, encompassing individuals aged 15 years or older, for hypertension (n = 1 715 895), diabetes (n = 1 807 566), and obesity (n = 776 023). Data analyses were conducted from July 1, 2022, through August 1, 2023.

Geographic units consisting of more than 30 000 small areas, 707 districts, and 36 states or Union Territories across India.

For primary outcomes, CVD risk factors, including hypertension, diabetes, and obesity, were considered. Four-level logistic regression models were used to partition the geographic variability in each outcome by state or Union Territory (level 4), district (level 3), and small area (level 2) and compute precision-weighted small area estimates. Spatial distribution of district-wide means, within-district small area variability, and their correlation were estimated.

The final analytic sample consisted of 1 715 895 individuals analyzed for hypertension (mean [SD] age, 39.8 [17.3] years; 921 779 [53.7%] female), 1 807 566 for diabetes (mean [SD] age, 39.5 [17.2] years; 961 977 [53.2%] female), and 776 023 for obesity (mean [SD] age, 30.9 [10.2] years; 678 782 [87.5%] women). Overall, 21.2% of female and 24.1% of male participants had hypertension, 5.0% of female and 5.4% of men had diabetes, and 6.3% of female and 4.0% of male participants had obesity. For female participants, small areas (32.0% for diabetes, 34.5% for obesity, and 56.2% for hypertension) and states (30.0% for hypertension, 46.6% for obesity, and 52.8% for diabetes) accounted for the majority of the total geographic variability, while districts accounted for the least (13.8% for hypertension, 15.2% for diabetes, and 18.9% for obesity). There were moderate to strong positive correlations between district-wide mean and within-district variability (r = 0.66 for hypertension, 0.94 for obesity, and 0.96 for diabetes). For hypertension, a significant discordance between district-wide mean and within-district small area variability was found. Results were largely similar for male participants across all categories.

This cross-sectional study found a substantial small area variability, suggesting the necessity of precise policy attention specifically to small areas in program formulation and intervention to prevent and manage CVD risk factors. Targeted action on policy-priority districts with high prevalence and substantial inequality is required for accelerating India's efforts to reduce the burden of noncommunicable diseases.