Published online Jul 28, 2026. doi: 10.3748/wjg.119134
Revised: February 8, 2026
Accepted: April 7, 2026
Published online: July 28, 2026
Processing time: 176 Days and 1.2 Hours
The guidelines of the National Institute for Health and Care Excellence recom
To establish a home-based management protocol grounded in timeliness-in
From August 20 to September 3, 2024, 108 MASLD patients at the Second Affi
After seven months, the first group had less liver fat than the second group (P < 0.010). Their weight, aspartate aminotransferase, alanine aminotransferase, total cholesterol, triglycerides, low-density lipoprotein cholesterol went down (P < 0.050), and high-density lipoprotein cholesterol went up (P < 0.001). The first group also had better scores for eating, health duty, exercise, stress control, self-care duty, self-care skills, and health knowledge (P < 0.010).
Home health management interventions guided by timeliness incentive theory demonstrate significant improvements in liver function, lipid profiles, health-related behaviors, and self-management capabilities among patients with MASLD. These findings support the clinical utility and recommend further promotion of this intervention model.
Core Tip: In a home-based "timeliness-incentive" randomized clinical trial, 108 metabolic dysfunction-associated steatotic liver disease patients receiving home care plus micro, immediate rewards for 7 months showed markedly lower liver fat, weight, aspartate aminotransferase/alanine aminotransferase, lipids and higher high-density lipoprotein cholesterol vs usual care, alongside superior diet, exercise and self-management scores, proving that low-cost timeliness-incentive tele-health can reverse metabolic-liver injury and should be widely adopted.
- Citation: Mei J, Jin YD, Xie YC, Huang PP, Deng Y, Chen Y. Timeliness-incentive home health management for metabolic dysfunction-associated steatotic liver disease. World J Gastroenterol 2026; 32(28): 119134
- URL: https://www.wjgnet.com/1007-9327/full/v32/i28/119134.htm
- DOI: https://dx.doi.org/10.3748/wjg.119134
Metabolic dysfunction-associated steatotic liver disease (MASLD)—formerly termed non-alcoholic fatty liver disease—represents a spectrum of hepatic steatosis closely linked to systemic metabolic risk factors, including obesity and type 2 diabetes mellitus[1]. To emphasise its metabolic aetiology and frequent coexistence with other cardiometabolic disorders, the nomenclature was revised to metabolic-associated fatty liver disease in 2020[2]. Population-based surveys indicate a global prevalence of approximately 30%[3]. Approximately 37% of these individuals progress to metabolic dysfunction-associated steatohepatitis—historically termed non-alcoholic steatohepatitis—a transition that can culminate in hepatic cirrhosis[4].
Currently, no pharmacological therapy has received global regulatory approval for MASLD[5]. The United Kingdom’s National Institute for Health and Care Excellence recommends lifestyle modification as the cornerstone of management[6]. Consequently, structured dietary and exercise interventions that establish sustainable healthy behaviours constitute the foundation of MASLD treatment.
The timeliness incentive theory is a parsimonious, patient-centred behavioural framework comprising four evidence-based levers: Positive reinforcement, need fulfilment, role modelling, and micro-rewards[7-9]. When clinicians deliver clear, hopeful messages at behaviourally salient moments, patients engage more actively in self-management[10].
This study was designed to evaluate whether home-based management grounded in timeliness-incentive theory was superior to conventional remote management in reducing hepatic steatosis, improving liver-function indices and fostering healthy behaviours among MASLD patients, and to provide an additional evidence-based option for the clinical management of MASLD.
This single-blind, randomized, controlled trial was designed to evaluate the efficacy of family-based health management, grounded in timeliness-incentive theory, vs standard family management in improving hepatic steatosis among individuals with MASLD.
Participants were enrolled by means of consecutive convenience sampling. Individuals diagnosed with MASLD at the health-check-up centre of the Second Affiliated Hospital of Chongqing Medical University (Jiangnan District) between August 20 and September 3, 2024 were invited to participate, and those who provided written informed consent were included.
The sample size was determined using the formula for comparing two proportions: The outcome indicators included the effective rate of symptom improvement, laboratory examination results, and ultrasound examination findings. Specifically, symptom improvement was categorized as complete resolution, near resolution, or significant improvement; laboratory examination results were considered normal or reduced by at least one-half; and ultrasound examination findings indicated no fatty liver manifestation or a one-grade reduction. Based on a review of the literature[11], the proportions were determined as P1 = 94.44% and P2 = 72.22%. Anticipating a 20% dropout rate during follow-up, the sample size was calculated to be 54 participants per group, resulting in a total sample size of 108.
Two nurses, who were not part of the intervention team, generated 108 random numbers using SPSS 26.0 statistical software. Random numbers were arranged in ascending order; participants drawing the first 54 numbers were allocated to the control group, and the remainder to the intervention group. A nurse external to the intervention team wrote each number on a piece of paper and placed it into an opaque envelope. Eligible participants who met all inclusion and exclusion criteria drew a pre-set random number from the opaque envelope and were thereby randomly assigned to either the intervention or the control group. Allocation was concealed from participants and outcome assessors; because intervention personnel could not be masked, the study was single-blind. The control group continued with standard domiciliary care, whereas the intervention group received a time-sensitive, incentive-structured home-health protocol.
Inclusion criteria: (1) Meet the diagnostic criteria for MASLD[12]; (2) Age > 18 years; (3) Have no neurological disorder, with the ability to communicate effectively and cooperate with investigators; (4) Proficiency in using WeChat, fitness trackers, and other electronic devices, and possessing reading comprehension skills; and (5) Voluntary participation in the study with signed informed consent.
Exclusion criteria: (1) Any motor system injury or contraindications to exercise; (2) Any diseases of the heart, brain, lungs, or other vital organs; (3) Use of medications that may affect blood lipid and enzyme levels during the trial; or (4) Patients with severe MASLD and other liver diseases (hepatitis, cirrhosis, liver cancer, etc.).
Drop-out criteria: (1) Voluntary withdrawal; or (2) Loss to follow-up.
Control group interventions: The usual home care steps were these: First, the research team checked each patient’s heart, lungs, and muscle strength on the day they joined. Then the research team gave each one a simple step count goal that fit their body. The research team showed them how to wear a band and send the steps to the phone app. Next, our food helper looked at what the patient usually ate and the liver fat grade. She wrote a plain menu with less oil and sugar. Last, the research team added each patient to a chat group with the nurse. Every two weeks the nurse posted one short message about the liver. Once a month she held a short live talk. The words were kept easy and matched what the group members already knew.
Experimental group interventions: (1) Formulate a home health management plan for people of MASLD based on the theory of timeliness incentives: The research team first read many papers and talked in a small group to fix the aims, people, times, way, tests, and length. Next, the research team wrote a first plan using the timeliness incentive idea. The research team then sent this plan to six experts two times; they sent back simple fixes and the research team made the changes. Last, the research team tried the plan for two weeks with five patients; their notes helped us finish the test draft (Figure 1); (2) Establish a specialized team: The head nurse provided the team with foundational knowledge of MASLD, principles of timeliness-incentive theory, and basic communication techniques. Following a brief knowledge test and evaluation form, the six highest-scoring candidates were selected to moderate the chat group. Three delivered the monthly live sessions, while the remaining three responded to questions, disseminated practical tips, and provided immediate positive feedback; and (3) Intervention content: On the basis of that in the control group, the intervention based on timeliness incentive theory was given (Figure 2), while all other MASLD-related health education, exercise, and diet programs remained consistent with those provided to the control group. The specific intervention protocol is outlined as follows (Table 1).
| Themes | Objective | Content | Form |
| Emotional motivation | To establish the confidence in patients to overcome the disease and enhance their motivation to adopt healthy behaviors | (1) Introduce the objectives and procedures of home management based on the theory of timeliness incentives, as well as arrangements for related online meetings; (2) Assess the patient's attitude towards the disease and provide psychological counseling if there is anxiety; and (3) Involve family members in the management process to offer psychological support and to supervise and encourage the patient | Face-to-face communication; WeChat group |
| Need-based motivation | To ensure that patients have a deeper and more comprehensive understanding of the disease, and to enable them to continue receiving professional management plans and timely answers to their questions outside the hospital | (1) Popularizing disease-related knowledge via Tencent meetings, thereby enabling patients to recognize the impact of healthy behaviors, such as diet and exercise, on their condition and enhancing their motivation to adopt healthier practices; (2) Encourage patients to share their diet and exercise within the WeChat group, fostering a supportive environment for mutual communication and supervision; and (3) Provide timely responses to any queries raised by patients | WeChat group, patient communication, Tencent meeting |
| Role-model motivation | By sharing successful case examples, the research team illustrate to patients that adopting and sustaining healthy behaviors can lead to significant improvements or even complete remission of the disease, thereby increasing patients' self-management compliance | (1) Monthly, 1-2 patients under management are selected to share their experiences online, encouraging all managed patients to adopt and maintain healthy behaviors; and (2) During each session, 3-5 patients are randomly selected to discuss the support they have received and any challenges or obstacles they have faced in maintaining healthy behaviors | WeChat group, Tencent meeting |
| Benefit motivation | Enable patients to more directly comprehend the crucial value of effective self-management for the disease | (1) Elucidate the multifaceted impact of the disease on the individual, family, and society; (2) Analyze the economic and interest-related benefits of health behaviors for patients; and (3) Offer free MASLD-related examinations1 to patients who demonstrate monthly exercise management compliance, thereby encouraging the maintenance of healthy lifestyle habits | Face-to-face communication; WeChat group |
After seven months of intervention, outcome assessors blinded to group allocation re-examined participants using identical equipment to determine between-group differences. The primary outcome was hepatic steatosis grade on ultrasonography; secondary outcomes included body mass index (BMI) , abdominal circumference, fasting lipids [total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C)], liver enzymes [aspartate aminotransferase (AST), alanine aminotransferase (ALT)], Health-Promoting Lifestyle Profile II (HPLP-II) score, and Exercise of Self-Care Agency (ESCA) score.
Analyses of fatty liver improvement: The same doctor, who was blinded to group allocation, scanned every liver before and after the study with a GE LOGIQ-E9 ultrasound machine and graded the fat change in one clear scale. A mild picture kept normal size and bright, even echoes; a moderate picture showed the organ shrinking, its wall looking thicker and its echoes turning darker as fat rose; a severe picture revealed the liver even smaller, the wall much thicker and the echoes much darker while fat reached its highest level.
BMI and biochemical indices: An identical Omron HNH-318 physical examination scale was used to determine the weight, height, and BMI of each patient before and after the intervention. The abdominal circumference was measured using the same soft measuring tape. Fasting venous blood samples were collected to measure TC, TG, LDL-C, HDL-C, ALT, and AST levels.
Analyses of health behaviors: In this study, the HPLP-II was used to assess health-related behaviors before and after the intervention, evaluating six distinct dimensions of health behavior: Physical exercise, health responsibility, stress management, nutrition, interpersonal relationships, and spiritual growth[13]. Total scores range from 52 to 208, with higher values indicating more favourable health behaviours. The scale demonstrated excellent internal consistency (Cronbach's α = 0.94).
Self-care ability assessment: The ESCA was utilized to evaluate the patients. This scale encompasses 43 items distributed across four dimensions: Self-care skills, self-care responsibility, self-concept, and health knowledge. Scoring is conducted using a 5-point Likert scale, with the highest possible total score being 172 points. Elevated scores are indicative of enhanced self-care capabilities. The Cronbach's α coefficient of the scale ranges from 0.86 to 0.920[14].
Data input, proofreading, and analysis were conducted using SPSS 26.0 software, with double data entry employed to ensure accuracy. Normally distributed measurement data are given as mean ± SD and checked with the Student’s t test. Data that did not follow a normal distribution are given as median (P25, P75) and checked with the Mann-Whitney U test. Categorical data are given as n (%) and checked with the test. Graded data are checked with the Z test. When the bilateral P < 0.050, it is considered to have a statistically significant difference. The research team ran both intention-to-treat (ITT) and per-protocol (PP) checks. ITT kept every random case. If normally distributed data missed less than 10%, the research team filled with the mean, if not normal with the median, if rank with the mode, and if 10% to 30% missed the research team used multiple imputation. The research team looked at simple stats to be sure the filled numbers made sense. PP kept only cases who finished the seven-month plan and had no blank cells.
Written informed consent was obtained from each patient included in the study and the study was approved by the Clinical Research Ethics Committee of the Second Affiliated Hospital of Chongqing Medical University (registered at the Chinese Clinical Trial Registry, ChiCTR2500096119) and conformed to the ethical guidelines of the 1975 Declaration of Helsinki.
In this study, both ITT and PP analyses were carried out respectively, and the results of the two showed consistency in whether they were statistically significant or not. Therefore, only the table of ITT analysis results is listed in this section, and the PP analysis will be shown in the attachment. A total of 108 eligible participants were randomly assigned to either the intervention (n = 54) or the control group (n = 54). The median age of the participants was 42 years, 68% were male, and the median BMI was 27. A total of 97 participants (89.8%) finally completed the management, of which 4 participants lost in the intervention group and 8 participants lost in the control group (Figure 3) Comparable baseline data showed no statistically significant difference between the two groups (Table 2). Significant differences were observed in systolic blood pressure (P = 0.060) and diastolic blood pressure (P = 0.001) between the two groups. Specifically, the intervention group exhibited higher median systolic blood pressure and mean diastolic blood pressure compared to the control group. However, considering the minimal impact of blood pressure on the primary study outcomes, this difference is unlikely to have significantly confounded the study results.
| Item | Total (n = 108) | Experimental group (n = 54) | Control group (n = 54) | χ2/t/Z | P value |
| Age (years) | 42 (37, 52) | 46 (40, 53) | 44 (38, 49) | -1.172 | 0.242 |
| Male | 68 (63) | 33 (61.1) | 35 (64.8) | 0.163 | 0.690 |
| Smoking | 26 (24.1) | 12 (22.2) | 14 (25.9) | 0.203 | 0.653 |
| Hypertension | 15 (13.9) | 10 (18.5) | 5 (9.3) | 1.943 | 0.164 |
| Systolic blood pressure (mmHg) | 127 (113, 134) | 131 (118, 142) | -2.722 | 0.006 | |
| Diastolic blood pressure (mmHg) | 75 (69, 85) | 81 ± 12 | 74 ± 10 | 3.292 | 0.001 |
| Abdominal circumference (cm) | 89 (82, 95) | 90.02 ± 11.72 | 87.57 ± 8.35 | 1.252 | 0.215 |
| BMI (kg/m2) | 27 (24.56, 28.9) | 27.72 ± 5.17 | 26.5 ± 1.85 | 1.532 | 0.130 |
| Fasting blood glucose | 5.27 (4.79, 5.74) | 5.34 (4.94, 5.81) | 5.21 (4.67, 5.57) | -1.542 | 0.124 |
| AST (U/L) | 25 (20, 30) | 32 (23, 50) | -1.392 | 0.165 | |
| ALT (U/L) | 30 (22, 45) | 26 (22, 32) | 24 (19, 28) | -1.922 | 0.055 |
| TG (mmol/L) | 1.94 (1.38, 2.71) | 2.04 (1.43, 2.67) | 1.85 (1.28, 2.85) | -0.502 | 0.617 |
| TC (mmol/L) | 5.06 ± 0.93 | 5.24 ± 0.93 | 5.05 ± 0.78 | 1.121 | 0.266 |
| LDL-C (mmol/L) | 3.02 ± 0.71 | 3.10 ± 0.72 | 2.94 ± 0.70 | 1.151 | 0.250 |
| HDL-C (mmol/L) | 1.2 ± 0.23 | 1.19 ± 0.16 | 1.16 ± 0.22 | 0.731 | 0.469 |
| Fatty liver grading | -0.803 | 0.426 | |||
| Mild | 32 (29.6) | 18 (33.3) | 14 (25.9) | ||
| Moderate | 63 (58.4) | 30 (55.6) | 33 (61.1) | ||
| Severe | 13 (12) | 6 (11.1) | 7 (13) | ||
| Total sample size | -0.953 | 0.341 | |||
| Primary school and below | 20 (18.5) | 11 (20.4) | 9 (16.7) | ||
| Junior high school | 47 (43.5) | 25 (46.3) | 22 (40.7) | ||
| University and above | 41 (38) | 18 (33.3) | 23 (42.6) |
Before the intervention, no significant differences (P > 0.050) were noted between the two groups in terms of lipid metabolism, liver function indicators, or fatty liver grade. Post-intervention, significant differences (P < 0.010) were observed in all measured parameters, with the exception of BMI and AST, with the intervention group showing markedly better results than the control group (Table 3).
| Item | Experimental group (n = 54) | Control group (n = 54) | 2 groups before intervention | 2 groups after intervention | ||||
| Pre-intervention | Post-intervention | Pre-intervention | Post-intervention | X1/T1/Z1 | P1 value | X2/T2/Z2 | P2 value | |
| Abdominal circumference | 90.02 ± 11.72 | 78 (73, 83.25) | 87.57 ± 8.35 | 82 (80, 85) | 1.251 | 0.215 | -2.972 | 0.003 |
| BMI (kg/m2) | 27.72 ± 5.17 | 24.83 (23.8, 27.2) | 26.5 ± 1.85 | 25.01 (24.33, 25.87) | 1.531 | 0.130 | -0.382 | 0.703 |
| Fatty liver grading | 1.253 | 0.215 | -2.673 | 0.008 | ||||
| Normal | 0 | 8 (14.8) | 0 | 2 (3.7) | ||||
| Mild | 18 (33.3) | 26 (48.1) | 14 (25.9) | 19 (35.2) | ||||
| Moderate | 30 (55.6) | 17 (31.5) | 33 (61.1) | 28 (51.8) | ||||
| Severe | 6 (11.1) | 3 (5.6) | 7 (13) | 5 (9.3) | ||||
| ALT (U/L) | 26 (22, 32.25) | 22 (18, 28.25) | 23.5 (18.75, 28) | 30.5 (26, 35.25) | -1.922 | 0.055 | -4.802 | < 0.001 |
| AST (U/L) | 32 (22.75, 50.25) | 20 (18.75, 22) | 27 (20, 42.5) | 20 (19, 22.25) | -1.392 | 0.165 | -0.802 | 0.425 |
| TG (mmol/L) | 2.04 (1.43, 2.67) | 1.36 (1.13, 1.99) | 1.85 (1.28, 2.85) | 2.12 (1.53, 2.36) | -0.502 | 0.617 | -3.302 | 0.001 |
| TC (mmol/L) | 5.24 ± 0.93 | 4.02 (3.23, 4.25) | 5.05 ± 0.78 | 4.55 (3.95, 4.87) | 1.121 | 0.266 | -4.332 | < 0.001 |
| LDL-C (mmol/L) | 3.10 ± 0.72 | 2.22 (2.09, 2.69) | 2.94 ± 0.70 | 2.65 (2.29, 2.98) | 1.151 | 0.250 | -5.572 | < 0.001 |
| HDL-C (mmol/L) | 1.19 ± 0.16 | 1.55 (1.43, 1.7) | 1.19 ± 0.16 | 1.33 (1.16, 1.45) | 0.731 | 0.469 | -2.842 | 0.004 |
Before the intervention, no significant differences (P > 0.050) were noted between the two groups in health behaviors or self-care ability scores across any dimension. After the intervention, significant differences (P < 0.001) were observed in all dimensions and the total score, except for interpersonal relationships, self-actualization, and self-concept. The intervention group showed significantly higher scores compared to the control group (Tables 4 and 5).
| Item | Experimental group (n = 54) | Control group (n = 54) | 2 groups before intervention | 2 groups after intervention | ||||
| Pre-intervention | Post-intervention | Pre-intervention | Post-intervention | T1/Z1 | P1 value | T2/Z2 | P1 value | |
| HPLP-II | 118.41 ± 5.59 | 159.72 ± 4.91 | 117.78 ± 4.17 | 146.02 ± 5.12 | 0.661 | 0.509 | 14.191 | < 0.001 |
| Interpersonal relationship | 24 (23, 25) | 27 (26, 29) | 24 (23, 25) | 27 (26, 29) | -1.332 | 0.182 | -0.782 | 0.438 |
| Nourishment | 22.5 (21, 24) | 26 (25, 28) | 22 (21, 23) | 24 (23, 25) | -1.062 | 0.288 | -5.482 | < 0.001 |
| Health responsibility | 16 (15, 19) | 24 (22.75, 25.25) | 16 (15, 19) | 22 (20, 22.25) | -0.852 | 0.394 | -5.662 | < 0.001 |
| exercise | 16.87 ± 1.95 | 29 (26, 30) | 16.65 ± 2.44 | 24 (23, 26) | 0.521 | 0.602 | -7.052 | < 0.001 |
| Stress management | 17.5 (15, 18.25) | 29 (27, 30) | 17 (15, 18) | 25 (21, 26) | -0.882 | 0.380 | -7.792 | < 0.001 |
| self-actualization | 21 (19, 23) | 25 (23, 27) | 21 (21, 22) | 26 (22, 27) | -0.992 | 0.324 | -0.042 | 0.965 |
| Item | Experimental group (n = 54) | Control group (n = 54) | 2 groups before intervention | 2 groups after intervention | ||||
| Pre-intervention | Post-intervention | Pre-intervention | Post-intervention | T1/Z1 | P1 value | T2/Z2 | P1 value | |
| ESCA | 92.8 ± 3.07 | 118.35 ± 5.92 | 92.56 ± 2.99 | 105.81 ± 5.03 | 0.411 | 0.680 | 11.851 | < 0.001 |
| Self-concept | 22 (21, 23) | 23 (21.75, 24.25) | 22.5 (21, 24) | 22.5 (21, 25) | -1.132 | 0.258 | -0.412 | 0.680 |
| Self-care responsibility | 9 (9, 10) | 15 ± 2.68 | 9 (8, 10) | 11.74 ± 2.5 | -0.482 | 0.631 | 6.531 | < 0.001 |
| Self-care skills | 22 (20.75, 23) | 32.5 (29, 34.25) | 21 (20.75, 23) | 28 (25, 30) | -0.642 | 0.520 | -6.532 | < 0.001 |
| Health knowledge | 40 (39, 41) | 48 (46.75, 51) | 39.5 (38, 41) | 44 (41, 46) | -0.892 | 0.376 | -6.102 | < 0.001 |
This study underscores the feasibility and efficacy of home-based health management predicated on the timeliness incentive theory for people with metabolism-associated fatty liver disease. The intervention group exhibited a marked improvement in fatty liver grade relative to the control group. While the intervention did not yield statistically significant differences in BMI and AST between the two groups, it did result in significant differences in abdominal circumference, lipid metabolism, and the more sensitive liver function marker ALT. These findings align with those reported by Mardinoglu et al[15]. The reason is that dietary and exercise interventions can effectively enhance liver health and subcutaneous fat levels in patients, thereby facilitating a reduction in abdominal circumference. Healthy eating habits can also boost liver insulin sensitivity, augment glucose and lipid metabolism in the liver, and ultimately lower the grade of fatty liver[16]. In this study, the intervention group integrated exercise and diet interventions with psychological care for participants. Time-sensitive incentive, a psychological nursing method, emphasizes a comprehensive assessment of participants' conditions, the formulation of personalized incentive measures, and precise timing of incentives to enhance nursing efficacy[17]. Additionally, this study provided professional guidance throughout the process, which can help patients establish a correct treatment concept. Improving patients' management compliance plays a positive role in their active cooperation with management[18].
The results showed that the home care plan with quick rewards gave better scores for eating, health duty, moving, and coping with stress than the usual plan, and this matches the work by Yu[19]. This effect is primarily attributed to the timeliness incentive theory, which leverages demand-based incentives to provide people with a comprehensive understanding of disease-related knowledge. This approach enables patients to clearly recognize their own unhealthy habits and guides them in establishing a correct treatment concept. Prior research has demonstrated that emotional motivation serves as an effective means of prompting patients to unlock their intrinsic potential to achieve goals[8]. By engaging in frequent communication with patients to understand their current attitude towards the disease, and by delivering targeted psychological interventions while simultaneously addressing their reasonable needs, a dynamic, personalized exercise regimen can be devised. This approach helps patients establish and adopt healthy behaviors. Utilizing exemplary motivation, patients who keep the rules act as living examples; they set a clear target for the rest, so more people join in, and the WeChat group gives day-to-day cues and checks, so patients keep moving and choose good habits. Additionally, interest-based incentives are integrated to establish a robust psychological compliance framework, ensuring sustained long-term engagement among patients.
This study also revealed that home health managers utilizing the timeliness incentive theory significantly enhanced their self-management behaviors. Relative to the control group, participants in the intervention group exhibited marked improvements in self-care responsibility, self-care skills, and health knowledge, findings that align with the research outcomes of Liu et al[9]. Self-management ability is influenced not only by knowledge level and disease condition but also significantly by external environmental stimuli. The timeliness incentive theory breaks down the overarching "incentive goal" into phased “incentive targets”, with incentive policies tailored to individual needs and varying over time[20]. This approach aims to provide patients with comprehensive support—physiological, psychological, familial, and social—to maximize the incentive effect. Effective psychological comfort should be offered to patients when they are in greatest need of spiritual support, and their self-management potential should be tapped through effective incentives. This enables patients to proactively integrate their desire to enhance self-management into their daily lives, transforming disease-related stress into motivation and bolstering their confidence to overcome the disease, thereby improving their self-management ability[21]. Simultaneously, exemplary cases are utilized to encourage patients to approach their condition with a positive mindset, thereby guiding them to consciously enhance their self-care capabilities[22].
This study revealed that home health management predicated on the timeliness incentive theory not only effectively ameliorates fatty liver grade, lipid metabolism indicators, and liver function but also enhances patients' self-management capabilities and fosters the establishment of healthy behaviors, thus meriting clinical adoption.
Thanks to all participants for their support.
| 1. | European Association for the Study of the Liver (EASL); European Association for the Study of Diabetes (EASD); European Association for the Study of Obesity (EASO). EASL-EASD-EASO Clinical Practice Guidelines for the management of non-alcoholic fatty liver disease. J Hepatol. 2016;64:1388-1402. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 3686] [Cited by in RCA: 3340] [Article Influence: 334.0] [Reference Citation Analysis (10)] |
| 2. | Eslam M, George J. Reply to: correspondence regarding "A new definition for metabolic dysfunction-associated fatty liver disease: An international expert consensus statement": Bringing evidence to the NAFLD-MAFLD debate. J Hepatol. 2020;73:1575. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 229] [Cited by in RCA: 143] [Article Influence: 23.8] [Reference Citation Analysis (5)] |
| 3. | Younossi ZM, Golabi P, Paik JM, Henry A, Van Dongen C, Henry L. The global epidemiology of nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH): a systematic review. Hepatology. 2023;77:1335-1347. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 2563] [Cited by in RCA: 2427] [Article Influence: 809.0] [Reference Citation Analysis (13)] |
| 4. | Takayama S, Katada K, Takagi T, Iida T, Ueda T, Mizushima K, Higashimura Y, Morita M, Okayama T, Kamada K, Uchiyama K, Handa O, Ishikawa T, Yasukawa Z, Okubo T, Itoh Y, Naito Y. Partially hydrolyzed guar gum attenuates non-alcoholic fatty liver disease in mice through the gut-liver axis. World J Gastroenterol. 2021;27:2160-2176. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in CrossRef: 12] [Cited by in RCA: 27] [Article Influence: 5.4] [Reference Citation Analysis (0)] |
| 5. | Chinese Society of Hepatology; Fatty Liver and Alcoholic Liver Disease Group; Chinese Medical Doctor Association Expert Committee on Fatty Liver Disease. [Guidelines for the prevention and treatment of non-alcoholic fatty liver disease (updated 2018)]. Linchuang Gandanbing Zazhi. 2018;34:947-957. [DOI] [Full Text] |
| 6. | Glen J, Floros L, Day C, Pryke R; Guideline Development Group. Non-alcoholic fatty liver disease (NAFLD): summary of NICE guidance. BMJ. 2016;354:i4428. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 109] [Cited by in RCA: 145] [Article Influence: 14.5] [Reference Citation Analysis (0)] |
| 7. | Gibson DG, Kagucia EW, Ochieng B, Hariharan N, Obor D, Moulton LH, Winch PJ, Levine OS, Odhiambo F, O'Brien KL, Feikin DR. The Mobile Solutions for Immunization (M-SIMU) Trial: A Protocol for a Cluster Randomized Controlled Trial That Assesses the Impact of Mobile Phone Delivered Reminders and Travel Subsidies to Improve Childhood Immunization Coverage Rates and Timeliness in Western Kenya. JMIR Res Protoc. 2016;5:e72. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 12] [Cited by in RCA: 21] [Article Influence: 2.1] [Reference Citation Analysis (0)] |
| 8. | Wang SQ, Zhao HJ, LiM. [Effect of time-sensitive incentive-based continuous rehabilitation nursing on activities of daily living in stroke patients with residual limb dysfunction]. Zhongguo Yikan. 2019;54:1241-1243. |
| 9. | Liu YH, Huang YE, Ma YH. [Application of continuous nursing based on the theory of time-sensitive incentives in community-dwelling middle-aged and elderly patients with hypertension]. Zhongxiyi Jiehe Huli. 2022;8:175-177. |
| 10. | Li JP. [Nursing Management]. 3rd ed. Beijing: People's Medical Publishing House, 2022: 178-179. |
| 11. | Zheng YC, Chen L, Lu FL, Yan QQ. [Observation of the clinical effect of exercise therapy on non-alcoholic fatty liver]. Ganzang. 2015;20:51-53. [DOI] [Full Text] |
| 12. | Rinella ME, Lazarus JV, Ratziu V, Francque SM, Sanyal AJ, Kanwal F, Romero D, Abdelmalek MF, Anstee QM, Arab JP, Arrese M, Bataller R, Beuers U, Boursier J, Bugianesi E, Byrne CD, Narro GEC, Chowdhury A, Cortez-Pinto H, Cryer DR, Cusi K, El-Kassas M, Klein S, Eskridge W, Fan J, Gawrieh S, Guy CD, Harrison SA, Kim SU, Koot BG, Korenjak M, Kowdley KV, Lacaille F, Loomba R, Mitchell-Thain R, Morgan TR, Powell EE, Roden M, Romero-Gómez M, Silva M, Singh SP, Sookoian SC, Spearman CW, Tiniakos D, Valenti L, Vos MB, Wong VW, Xanthakos S, Yilmaz Y, Younossi Z, Hobbs A, Villota-Rivas M, Newsome PN; NAFLD Nomenclature consensus group. A multisociety Delphi consensus statement on new fatty liver disease nomenclature. Ann Hepatol. 2024;29:101133. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 517] [Cited by in RCA: 463] [Article Influence: 231.5] [Reference Citation Analysis (3)] |
| 13. | Tanjani PT, Azadbakht M, Garmaroudi G, Sahaf R, Fekrizadeh Z. Validity and Reliability of Health Promoting Lifestyle Profile II in the Iranian Elderly. Int J Prev Med. 2016;7:74. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 28] [Cited by in RCA: 38] [Article Influence: 3.8] [Reference Citation Analysis (0)] |
| 14. | Yamashita M. The exercise of self-care agency scale. West J Nurs Res. 1998;20:370-381. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 18] [Cited by in RCA: 21] [Article Influence: 0.8] [Reference Citation Analysis (0)] |
| 15. | Mardinoglu A, Wu H, Bjornson E, Zhang C, Hakkarainen A, Räsänen SM, Lee S, Mancina RM, Bergentall M, Pietiläinen KH, Söderlund S, Matikainen N, Ståhlman M, Bergh PO, Adiels M, Piening BD, Granér M, Lundbom N, Williams KJ, Romeo S, Nielsen J, Snyder M, Uhlén M, Bergström G, Perkins R, Marschall HU, Bäckhed F, Taskinen MR, Borén J. An Integrated Understanding of the Rapid Metabolic Benefits of a Carbohydrate-Restricted Diet on Hepatic Steatosis in Humans. Cell Metab. 2018;27:559-571.e5. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 256] [Cited by in RCA: 365] [Article Influence: 45.6] [Reference Citation Analysis (1)] |
| 16. | Montemayor S, Mascaró CM, Ugarriza L, Casares M, Gómez C, Martínez JA, Tur JA, Bouzas C. Intrahepatic Fat Content and COVID-19 Lockdown in Adults with NAFLD and Metabolic Syndrome. Nutrients. 2022;14:3462. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 6] [Reference Citation Analysis (0)] |
| 17. | Schübel R, Nonnenmacher T, Sookthai D, Gonzalez Maldonado S, Sowah SA, von Stackelberg O, Schlett CL, Grafetstätter M, Nabers D, Johnson T, Kirsten R, Ulrich CM, Kaaks R, Kauczor HU, Kühn T, Nattenmüller J. Similar Weight Loss Induces Greater Improvements in Insulin Sensitivity and Liver Function among Individuals with NAFLD Compared to Individuals without NAFLD. Nutrients. 2019;11:544. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 7] [Cited by in RCA: 11] [Article Influence: 1.6] [Reference Citation Analysis (0)] |
| 18. | Zou D, Zhang HJ. [Analysis on Effect of Timely Incentive Nursing Applied in Early Rehabilitation for Patients with Cerebral Infarction]. Zhongguo Yike Daxue Xuebao. 2015;44:272-273. [DOI] [Full Text] |
| 19. | Yu AH. [The impact of continuous nursing centered on the concept of time-sensitive incentives on health behaviors, self-care abilities, and self-efficacy in elderly patients with type 2 diabetes]. Quanke Huli. 2018;16:4390-4392. [DOI] [Full Text] |
| 20. | Huang FF, Zhao QL, Guo MY, Tian XX. [Current status and influencing factors of health self-management abilities in adults]. Zhonghua Huli Zazhi. 2011;46:701-704. [DOI] [Full Text] |
| 21. | Xu QQ, Shan WC, Yan HW, Jin DP, Li SC, Shan WY. [Research progress on continuous nursing for patients with myocardial infarction]. Chongqing Yixue. 2015;44:2691-2693. [DOI] [Full Text] |
| 22. | Zhu XC, Pan SL, Zou AH. [Impact of continuous nursing on compliance and quality of life in patients with acute myocardial infarction after discharge]. Shiyong Linchuang Yiyao Zazhi. 2014;15:15-17,21. [DOI] [Full Text] |