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Chung HI, Lee Y, Yoon BA, Kim DH, Cha JK, Lee S. Delayed door to puncture time during off-duty hours is associated with unfavorable outcomes after mechanical thrombectomy in the early window of acute ischemic stroke. BMC Neurol 2024; 24:357. [PMID: 39342130 PMCID: PMC11438392 DOI: 10.1186/s12883-024-03874-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 09/20/2024] [Indexed: 10/01/2024] Open
Abstract
BACKGROUNDS The impact of off-duty hours mechanical thrombectomy on outcomes remains a subject of controversy. The impacts of off-duty hours on procedures are influenced by various factors, but the most critical one is the time delay in initiating the procedure after the patient's arrival at the emergency room. Recently, a report suggested that the impact of time delay on post-procedural outcomes is evident in patients who arrive at the emergency room within 6 h of symptom onset, referred to as the "early window." We hypothesized that the impact of procedure delays on outcomes during off duty-hours would be most significant within this early window. This study aimed to investigate the impact of door-to-puncture time (DTPT) delays in patients who underwent mechanical thrombectomy for acute ischemic stroke (AIS) during off-duty hours in both the early and late time windows. METHODS We investigated patients who presented to the emergency center between 2014 and 2022. Among a total of 6,496 AIS patients, we selected those who underwent mechanical thrombectomy within 24 h of the onset of acute anterior circulation occlusion. The eligible patients were divided into two groups: those who arrived within 6 h of symptom onset and received the procedure within 8 h (early window), and those who received the procedure between 8 h and 24 h after symptom onset (late window). The study assessed the association between the onset to puncture time in each group and poor outcomes, measured by the modified Rankin scores(mRs) at 90 days. Furthermore, the study analyzed the impact of receiving the procedure during off-hours in both the early and late windows on outcomes. Specifically, the analysis focused on the impact of delayed DTPT in patients during off-duty hours on outcomes measured by the 90-days mRS. RESULTS Among the eligible patients, a total of 501 AIS patients underwent mechanical thrombectomy for acute anterior circulation occlusion within 24 h. Of these, 395 patients (78.8%) fell into the early window category, and 320 patients (63.9%) underwent the procedure during off-duty hours. In the early window, for every 60-minute increase in OTPT, the probability of occurrence a poor outcome at 90 days significantly increased in the fully adjusted model (OR = 1.21; 95% CI, 1.02 to 1.43; p = 0.03). In the early window, delayed procedures during off-duty hours (exceeding 103 min of DTPT) were identified as an independent predictor of poor outcomes (OR = 1.85; 95% CI, 1.05 to 3.24; p = 0.03). However, in the late window, there was no association between DTPT and outcomes at 90 days, and the impact of DTPT delays during off-hours was not observed. CONCLUSIONS Through this study, it became evident that the impacts of off-duty hours in mechanical thrombectomy were most pronounced in the early window, where the impact of time delay was clear. Therefore, it is believed that improvements in the treatment system are necessary to address this issue.
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Affiliation(s)
- Hye-In Chung
- Stroke Center, Department of Neurology, College of Medicine, Dong-A University, Daesingongwon-ro 26, Seo-gu, Busan, 49201, Republic of Korea
| | - Yoonkyung Lee
- Stroke Center, Department of Neurology, College of Medicine, Dong-A University, Daesingongwon-ro 26, Seo-gu, Busan, 49201, Republic of Korea
| | - Byeol-A Yoon
- Stroke Center, Department of Neurology, College of Medicine, Dong-A University, Daesingongwon-ro 26, Seo-gu, Busan, 49201, Republic of Korea
| | - Dae-Hyun Kim
- Stroke Center, Department of Neurology, College of Medicine, Dong-A University, Daesingongwon-ro 26, Seo-gu, Busan, 49201, Republic of Korea
| | - Jae-Kwan Cha
- Stroke Center, Department of Neurology, College of Medicine, Dong-A University, Daesingongwon-ro 26, Seo-gu, Busan, 49201, Republic of Korea.
| | - Seungho Lee
- Department of Preventive Medicine, College of Medicine, Dong-A University, Busan, Republic of Korea
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Kim SB, Lee BM, Park JW, Kwak MY, Jang WM. Weekend effect on 30-day mortality for ischemic and hemorrhagic stroke analyzed using severity index and staffing level. PLoS One 2023; 18:e0283491. [PMID: 37347776 PMCID: PMC10287008 DOI: 10.1371/journal.pone.0283491] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 03/11/2023] [Indexed: 06/24/2023] Open
Abstract
BACKGROUND AND PURPOSE Previous studies on the weekend effect-a phenomenon where stroke outcomes differ depending on whether the stroke occurred on a weekend-mostly targeted ischemic stroke and showed inconsistent results. Thus, we investigated the weekend effect on 30-day mortality in patients with ischemic or hemorrhagic stroke considering the confounding effect of stroke severity and staffing level. METHODS We retrospectively analyzed data of patients hospitalized for ischemic or hemorrhagic stroke between January 1, 2015, and December 31, 2018, which were extracted from the claims database of the National Health Insurance System and the Medical Resource Report by the Health Insurance Review & Assessment Service. The primary outcome measure was 30-day all-cause mortality. RESULTS In total, 278,632 patients were included, among whom 84,240 and 194,392 had a hemorrhagic and ischemic stroke, respectively, with 25.8% and 25.1% of patients, respectively, being hospitalized during the weekend. Patients admitted on weekends had significantly higher 30-day mortality rates (hemorrhagic stroke 16.84%>15.55%, p<0.0001; ischemic stroke 5.06%>4.92%, p<0.0001). However, in the multi-level logistic regression analysis adjusted for case-mix, pre-hospital, and hospital level factors, the weekend effect remained consistent in patients with hemorrhagic stroke (odds ratio [OR] 1.05, 95% confidence interval [CI] 1.00-1.10), while the association was no longer evident in patients with ischemic stroke (OR 1.01, 95% CI 0.96-1.06). CONCLUSIONS Weekend admission for hemorrhagic stroke was significantly associated with a higher mortality rate after adjusting for confounding factors. Further studies are required to understand factors contributing to mortality during weekend admission.
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Affiliation(s)
- Seung Bin Kim
- Interdepartment of Critical Care Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea
| | - Bo Mi Lee
- HIRA Research Institute, Health Insurance Review & Assessment Service, Wonju, Republic of Korea
| | - Joo Won Park
- Center for Public Healthcare, National Medical Center, Seoul, Republic of Korea
| | - Mi Young Kwak
- Center for Public Healthcare, National Medical Center, Seoul, Republic of Korea
| | - Won Mo Jang
- Department of Public Health and Community Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea
- Department of Health Policy and Management, Seoul National University College of Medicine, Seoul, Republic of Korea
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Bachner F, Zuba M. The weekend effect in stroke mortality: evidence from Austrian acute care hospitals. INTERNATIONAL JOURNAL OF HEALTH ECONOMICS AND MANAGEMENT 2022; 22:205-236. [PMID: 34731333 DOI: 10.1007/s10754-021-09317-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 10/24/2021] [Indexed: 06/13/2023]
Abstract
Many studies provide evidence for the so-called weekend effect by demonstrating that patients admitted to hospital during weekends show less favourable outcomes such as increased mortality, compared with similar patients admitted during weekdays. The underlying causes for this phenomenon are still discussed controversially. We analysed factors influencing weekend effects in inpatient care for acute stroke in Austria. The study analysed secondary datasets from all 130 public acute care hospitals in Austria between 2010 and 2014 (Austrian DRG Data). The study cohort included 86,399 patient cases admitted with acute ischaemic stroke. By applying multivariate regression analysis, we tested whether patient, treatment or hospital characteristics drove in-hospital mortality on weekends and national holidays. We found that the risk to die after an admission at weekend was significantly higher compared to weekdays, while the number of admissions following stroke was significantly lower. Adjustment for patient, treatment and hospital characteristics substantially reduced the weekend effect in mortality but did not eliminate it. We conclude that the observed weekend effect could be explained either by lower quality of health care or higher severity of stroke admissions at the weekend. In depth analyses supported the hypothesis of higher stroke severity in weekend patients as seen in other studies. While DRG data is useful to analyse stroke treatment and outcomes, adjustment for case mix and severity is essential.
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Affiliation(s)
- Florian Bachner
- Department for Health Economics & Health Systems Analysis, Austrian Public Health Institute, Stubenring 6, 1010, Vienna, Austria.
- Department of Economics, Johannes Kepler University of Linz, Altenberger Straße 69, 4040, Linz, Austria.
| | - Martin Zuba
- Department for Health Economics & Health Systems Analysis, Austrian Public Health Institute, Stubenring 6, 1010, Vienna, Austria.
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Bou Chebl R, Kattouf N, Assaf M, Abou Dagher G, Kassir A, Mahmassani D, Bachir R, El Sayed M. The Weekend Effect in Septic Shock Patients Using the Nationwide Emergency Department Sample Database. Shock 2021; 56:910-915. [PMID: 33651724 DOI: 10.1097/shk.0000000000001766] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND The weekend effect is the increased mortality in hospitalized patients admitted on the weekend. The aim of this study was to examine the effect of weekend admissions on septic shock patients. METHODS This is a retrospective observational study of the 2014 Nationwide Emergency Department Sample Database. Septic shock patients were included in this study using ICD-9-CM codes. Descriptive analysis was done, in addition to bivariate analysis to compare variables based on admission day. Multivariate analysis was conducted to examine the association between admission day and mortality in septic shock patients after adjusting for potential confounding factors. RESULTS A total of 364,604 septic shock patients were included in this study. The average age was 67.19 years, and 51.1% were males. 73.0% of patients presented on weekdays. 32.3% of septic shock patients died during their hospital stay. After adjusting for confounders, there was no significant difference in the emergency department or in-hospital mortality of septic shock patients admitted on the weekend compared with those admitted during weekdays, (OR = 1.00 [95% CI: 0.97-1.03], P value = 0.985). CONCLUSION There was no statistically significant difference in overall mortality between septic shock patients admitted on the weekend or weekday. Our results are contradictory to previous studies showing an increased mortality with the weekend effect. The previous observations that have been made may not stand up with current treatment protocols.
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Affiliation(s)
- Ralphe Bou Chebl
- Department of Emergency Medicine, American University of Beirut, Beirut, Lebanon
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Räty S, Martinez-Majander N, Suomalainen O, Sibolt G, Tiainen M, Valkonen K, Sairanen T, Forss N, Curtze S. Is the weekend effect true in acute stroke patients at tertiary stroke center? J Neurol Sci 2021; 427:117557. [PMID: 34214920 DOI: 10.1016/j.jns.2021.117557] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 05/24/2021] [Accepted: 06/22/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND There is contradicting evidence on the outcome of emergency patients treated during weekends versus weekdays. We studied if outcome of ischemic stroke patients receiving intravenous thrombolysis (IVT) differs according to the treatment time. METHODS Our retrospective study included consecutive patients receiving IVT within 4.5 h of stroke onset between June 1995 and December 2018 at the Helsinki University Hospital. The patients were compared based on the treatment initiation either during weekdays (Monday to Friday) or weekend (Saturday and Sunday). The primary outcome was 3-month mortality and secondary outcomes comprised 3-month modified Rankin Scale (mRS) and incidence of symptomatic intracerebral hemorrhage (sICH). Additional analyses studied the effect of IVT treatment according to non-office hours, time of day, and season. RESULTS Of the 3980 IVT-treated patients, 28.0% received treatment during weekends. Mortality was similar after weekend (10.0%) and weekday (10.6%) admissions in the multivariable regression analysis (OR 0.78; 95% CI 0.59-1.03). Neither 3-month mRS (OR 0.98; 95% CI 0.86-1.12), nor the occurrence of sICH (4.2% vs 4.6%; OR 0.87; 95% CI 0.60-1.26) differed between the groups. No outcome difference was observed between the office vs non-office hours or by the time of day. However, odds for worse outcome were higher during autumn (OR 1.19; 95% CI 1.04-1.35) and winter (OR 1.15; 95% CI 1.01-1.30). CONCLUSION We did not discover any weekend effect for IVT-treated stroke patients. This confirms that with standardized procedures, an equal quality of care can be provided to patients requiring urgent treatment irrespective of time.
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Affiliation(s)
- Silja Räty
- Department of Neurology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | | | - Olli Suomalainen
- Department of Neurology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Gerli Sibolt
- Department of Neurology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Marjaana Tiainen
- Department of Neurology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Kati Valkonen
- Department of Neurology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Tiina Sairanen
- Department of Neurology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Nina Forss
- Department of Neurology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Sami Curtze
- Department of Neurology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
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Ghiani M, Mueller S, Maywald U, Wilke T. Hospitalized with stroke at the weekend: Higher cost and risk of early death? Int J Stroke 2021; 17:67-76. [PMID: 33527881 DOI: 10.1177/1747493021992597] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVES Previous studies have shown that weekend hospitalizations are associated with poorer health outcomes and higher mortality ("weekend effect"). However, few of these studies have adjusted for disease severity and little is known about the effect on costs. This work investigates the weekend effect and its costs for patients with cerebral infarction in Germany, adjusting for patient characteristics and proxies of stroke severity. METHODS Adult patients with a cerebral infarction hospitalization 10th revision of the International statistical classification of diseases and related health problems (ICD-10: I63) between 01 January 2014 and 30 June 2017 were included from German health claims (AOK PLUS dataset). Propensity score matching was used to match patients hospitalized on weekends or on public holidays (weekend group) with patients hospitalized during the working week (workday group), based on baseline characteristics and proxies for disease severity such as concomitant diagnoses of aphasia, ataxia, and coma, or peg tube at index hospitalization. Matched cohorts were compared in terms of in-hospital, 7-day, and 30-day mortality, as well as risk and costs of stroke and rehabilitation stays in the year after first stroke. RESULTS Of 32,311 patients hospitalized with cerebral infarction between 01 January 2014 and 30 June 2017, 8409 were in the weekend group and 23,902 in the workday group. After propensity score matching, 16,730 patients were included in our study (8365 per group). Matched cohorts did not differ in baseline characteristics or stroke severity. In the weekend group, the risk of in-hospital death (11.2%) and the seven-day mortality rate (6.8%) were 13.1% and 17.2% higher than in the workday group, respectively (both p < 0.01). The hazard ratio for death in the weekend group was 1.1 (p = 0.043). The risks of subsequent stroke hospitalization and rehabilitation stays for a stroke were 8.4% higher and 5.5% higher in the weekend group (both p = 0.02). As a result, the stroke-related hospitalization and rehabilitation costs per patient year were, respectively, 5.6% and 8.0% higher in the weekend group (both p = 0.01). CONCLUSIONS A significant weekend effect emerged after controlling for observable patient characteristics and proxies of stroke severity. This effect also resulted in higher costs for patients admitted on weekends.
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Pasternack JB, Ciminero ML, Silver M, Chang J, Simon RJ, Kang KK. Effect of weekend admission on geriatric hip fractures. World J Orthop 2020; 11:391-399. [PMID: 32999859 PMCID: PMC7507075 DOI: 10.5312/wjo.v11.i9.391] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 06/02/2020] [Accepted: 08/25/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The care discrepancy for patients presenting to a hospital on the weekend relative to the work week is well documented. With respect to hip fractures, however, there is no consensus about the presence of a so-called “weekend effect”. This study sought to determine the effects, if any, of weekend admission on care of geriatric hip fractures admitted to a large tertiary care hospital. It was hypothesized that geriatric hip fracture patients admitted on a weekend would have longer times to medical optimization and surgery and increased complication and mortality rates relative to those admitted on a weekday.
AIM To determine if weekend admission of geriatric hip fractures is associated with poor outcome measures and surgical delay.
METHODS A retrospective chart review of operative geriatric hip fractures treated from 2015-2017 at a large tertiary care hospital was conducted. Two cohorts were compared: patients who arrived at the emergency department on a weekend, and those that arrived at the emergency department on a weekday. Primary outcome measures included mortality rate, complication rate, transfusion rate, and length of stay. Secondary outcome measures included time from emergency department arrival to surgery, time from emergency department arrival to medical optimization, and time from medical optimization to surgery.
RESULTS There were no statistically significant differences in length of stay (P = 0.2734), transfusion rate (P = 0.9325), or mortality rate (P = 0.3460) between the weekend and weekday cohorts. Complication rate was higher in patients who presented on a weekend compared to patients who presented on a weekday (13.3% vs 8.3%; P = 0.044). Time from emergency department arrival to medical optimization (22.7 h vs 20.0 h; P = 0.0015), time from medical optimization to surgery (13.9 h vs 10.8 h; P = 0.0172), and time from emergency department arrival to surgery (42.7 h vs 32.5 h; P < 0.0001) were all significantly longer in patients who presented to the hospital on a weekend compared to patients who presented to the hospital on a weekday.
CONCLUSION This study provided insight into the “weekend effect” for geriatric hip fractures and found that day of presentation has a clinically significant impact on delivered care.
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Affiliation(s)
- Jordan B Pasternack
- Department of Orthopaedic Surgery, Maimonides Medical Center, Brooklyn, NY 11219, United States
| | - Matthew L Ciminero
- Department of Orthopaedic Surgery, Maimonides Medical Center, Brooklyn, NY 11219, United States
| | - Michael Silver
- Department of Orthopaedic Surgery, Maimonides Medical Center, Brooklyn, NY 11219, United States
| | - Joseph Chang
- Department of Orthopaedic Surgery, Maimonides Medical Center, Brooklyn, NY 11219, United States
| | - Ronald J Simon
- Department of Trauma Surgery, Maimonides Medical Center, Brooklyn, NY 11219, United States
| | - Kevin K Kang
- Department of Orthopaedic Surgery, Maimonides Medical Center, Brooklyn, NY 11219, United States
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Huang HK, Chang WC, Hsu JY, Wang JH, Liu PS, Lin SM, Loh CH. Holiday Season and Weekend Effects on Stroke Mortality: A Nationwide Cohort Study Controlling for Stroke Severity. J Am Heart Assoc 2020; 8:e011888. [PMID: 30973048 PMCID: PMC6507216 DOI: 10.1161/jaha.118.011888] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Background The effect of holiday season admission for stroke on mortality has not been investigated. Thus, we aimed to evaluate whether "holiday season" and "weekend" effects exist on mortality risk for stroke admission. Methods and Results A nationwide cohort study was conducted using Taiwan's National Health Insurance Research Database. We identified all patients admitted for stroke between 2011 and 2015 in Taiwan, and categorized them according to the admission date: holiday season (at least 4 days off) (n=3908), weekend (n=13 774), and weekday (n=49 045). We analyzed in-hospital, 7-day, and 30-day mortality using multivariable logistic regression, adjusting for stroke severity and other confounders. Compared with weekday admissions, holiday season admission for stroke was significantly associated with a 20%, 33%, and 21% increase in in-hospital, 7-day, and 30-day mortality, respectively. Compared with weekend admissions, holiday season admissions were associated with a 24%, 30%, and 22% increased risk of in-hospital, 7-day, and 30-day mortality, respectively. However, mortality did not differ significantly between weekend and weekday admissions. Subanalyses after stratification for age, sex, and stroke type also revealed similar trends. Conclusions We report for the first time a "holiday season effect" on stroke mortality. Patients admitted during holiday seasons had higher mortality risks than those admitted on weekends and weekdays. This holiday season effect persisted even after adjusting for stroke severity and other important confounders. These findings highlight the need for healthcare delivery systems with a consistent quality of round-the-clock care for patients admitted for stroke.
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Affiliation(s)
- Huei-Kai Huang
- 1 Department of Family Medicine Buddhist Tzu Chi General Hospital Hualien Taiwan
| | - Wei-Chuan Chang
- 2 Department of Medical Research Buddhist Tzu Chi General Hospital Hualien Taiwan
| | - Jin-Yi Hsu
- 3 Department of Neurology Buddhist Tzu Chi General Hospital Hualien Taiwan
| | - Jen-Hung Wang
- 2 Department of Medical Research Buddhist Tzu Chi General Hospital Hualien Taiwan
| | - Pin-Sung Liu
- 5 Center for Aging and Health Buddhist Tzu Chi General Hospital Hualien Taiwan
| | - Shu-Man Lin
- 4 Department of Physical Medicine and Rehabilitation Buddhist Tzu Chi General Hospital Hualien Taiwan
| | - Ching-Hui Loh
- 5 Center for Aging and Health Buddhist Tzu Chi General Hospital Hualien Taiwan
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Sung SF, Su CC, Hsieh CY, Cheng CL, Chen CH, Lin HJ, Chen YW, Kao Yang YH. Home-Time as a Surrogate Measure for Functional Outcome After Stroke: A Validation Study. Clin Epidemiol 2020; 12:617-624. [PMID: 32606987 PMCID: PMC7305833 DOI: 10.2147/clep.s245817] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 05/05/2020] [Indexed: 01/05/2023] Open
Abstract
Purpose Home-time has been found to correlate well with modified Rankin Scale (mRS) scores in patients with stroke. This study aimed to determine its correlations in patients with different types of stroke at various time points after stroke in a non-Western population. Methods This study used linked data from multi-center stroke registry databases and a nationwide claims database of health insurance. Functional outcomes as measured with the modified Rankin Scale were obtained from the registry databases and home-time was derived from the claims database. Spearman correlation coefficients were used to assess the correlation between home-time and mRS scores. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of home-time in predicting good functional outcome. Results This study included 7959 patients hospitalized for stroke or transient ischemic attack (TIA), for whom mRS scores were available in 6809, 6694, and 4330 patients at 90, 180, and 365 days, respectively. Home-time was highly correlated with mRS scores at the three time-points in patients with ischemic (Spearman's rho -0.69 to -0.83) or hemorrhagic (Spearman's rho -0.86 to -0.88) stroke, but the correlation was only weak to moderate in those with TIA (Spearman's rho -0.32 to -0.58). Home-time predicted good functional outcome with excellent discrimination in patients with ischemic (AUCs >0.8) or hemorrhagic (AUCs >0.9) stroke but less so in those with TIA (AUCs >0.7). Conclusion Home-time was highly correlated with mRS scores and showed excellent discrimination in predicting good functional outcome in patients with ischemic or hemorrhagic stroke. Home-time could serve as a valid surrogate measure for functional outcome after stroke.
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Affiliation(s)
- Sheng-Feng Sung
- Division of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chiayi Christian Hospital, Chiayi, Taiwan
| | - Chien-Chou Su
- Department of Pharmacy, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,Health Outcome Research Center, National Cheng Kung University, Tainan, Taiwan
| | - Cheng-Yang Hsieh
- Department of Pharmacy, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,Department of Neurology, Tainan Sin Lau Hospital, Tainan, Taiwan
| | - Ching-Lan Cheng
- Department of Pharmacy, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,Health Outcome Research Center, National Cheng Kung University, Tainan, Taiwan.,School of Pharmacy, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chih-Hung Chen
- Department of Neurology, National Cheng Kung University Hospital and College of Medicine, Tainan, Taiwan
| | - Huey-Juan Lin
- Department of Neurology, Chi Mei Medical Center, Tainan, Taiwan
| | - Yu-Wei Chen
- Department of Neurology, Landseed International Hospital, Taoyuan, Taiwan.,Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Yea-Huei Kao Yang
- Department of Pharmacy, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,Health Outcome Research Center, National Cheng Kung University, Tainan, Taiwan.,School of Pharmacy, College of Medicine, National Cheng Kung University, Tainan, Taiwan
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André C. Stroke care in 1960 and now-the case of René Maugras. Rev Neurol (Paris) 2020; 176:189-193. [PMID: 31521397 DOI: 10.1016/j.neurol.2019.06.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2019] [Revised: 06/07/2019] [Accepted: 06/24/2019] [Indexed: 11/16/2022]
Abstract
BACKGROUND/OBJECTIVE Georges Simenon accurately describes, in a novel called Les Anneaux de Bicêtre, the clinical picture and course, and the hospital procedures and treatment of a patient with a large left hemispheric stroke, presumably ischemic. METHODS I here summarize these features and use them as a basis to discuss the marked changes in stroke evaluation and care in the last 60 years. RESULTS/CASE REPORT A 54-year old Newspaper director was admitted shortly after an acute stroke leading to temporary loss of consciousness, to motor aphasia and right hemiplegia and hypoesthesia. Risk factors included hypertension, a sedentary life, smoking, and a previous episode of cardiac arrhythmia possibly related to congenital heart disease. Evaluation included electroencephalography, cerebral arteriography and cerebrospinal fluid analysis. The acute treatment involved prolonged bed rest in a private room, prophylactic antibiotics, and oral anticoagulation. Smoking was allowed. Prolonged in-hospital rehabilitation followed initial passive physical therapy provided by nurses. After many months, the patient was released with persistent motor problems and a marked psychological change. CONCLUSION The entire field of acute stroke care has been revolutionized in the last 60 years. Big data management, telemedicine, software, new brain and vascular imaging techniques, biomarkers, robotics etc., are currently in development and again should lead to new and surprising changes during the next decades.
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Affiliation(s)
- C André
- Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil; Sinapse Neurologia e Reabilitação, Rio de Janeiro, Brazil.
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Arling G, Sico JJ, Reeves MJ, Myers L, Baye F, Bravata DM. Modelling care quality for patients after a transient ischaemic attack within the US Veterans Health Administration. BMJ Open Qual 2019; 8:e000641. [PMID: 31909209 PMCID: PMC6937041 DOI: 10.1136/bmjoq-2019-000641] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 10/22/2019] [Accepted: 11/23/2019] [Indexed: 12/25/2022] Open
Abstract
Objective Timely preventive care can substantially reduce risk of recurrent vascular events or death after a transient ischaemic attack (TIA). Our objective was to understand patient and facility factors influencing preventive care quality for patients with TIA in the US Veterans Health Administration (VHA). Methods We analysed administrative data from a retrospective cohort of 3052 patients with TIA cared for in the emergency department (ED) or inpatient setting in 110 VHA facilities from October 2010 to September 2011. A composite quality indicator (QI score) pass rate was constructed from four process-related quality measures-carotid imaging, brain imaging, high or moderate potency statin and antithrombotic medication, associated with the ED visit or inpatient admission after the TIA. We tested a multilevel structural equation model where facility and patient characteristics, inpatient admission, and neurological consultation were predictors of the resident's composite QI score. Results Presenting with a speech deficit and higher Charlson Comorbidity Index (CCI) were positively related to inpatient admission. Being admitted increased the likelihood of neurology consultation, whereas history of dementia, weekend arrival and a higher CCI score made neurological consultation less likely. Speech deficit, higher CCI, inpatient admission and neurological consultation had direct positive effects on the composite quality score. Patients in facilities with fewer full-time equivalent neurology staff were less likely to be admitted or to have a neurology consultation. Facilities having greater organisational complexity and with a VHA stroke centre designation were more likely to provide a neurology consultation. Conclusions Better TIA preventive care could be achieved through increased inpatient admissions, or through enhanced neurology and other care resources in the ED and during follow-up care.
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Affiliation(s)
- Greg Arling
- School of Nursing, Purdue University, West Lafayette, Indiana, USA
- Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Precision Monitoring to Transform Care (PRIS-M) Quality Enhancement Research Initiative (QUERI), Richard L Roudebush VA Medical Center, Indianapolis, Indiana, USA
| | - Jason J Sico
- Department of Internal Medicine and Neurology, Yale School of Medicine, New Haven, Connecticut, USA
- Clinical Epidemiology Research Center, VA Connecticut Health System West Haven Campus, West Haven, Connecticut, USA
| | - Mathew J Reeves
- Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Precision Monitoring to Transform Care (PRIS-M) Quality Enhancement Research Initiative (QUERI), Richard L Roudebush VA Medical Center, Indianapolis, Indiana, USA
- Department of Epidemiology, Michigan State University, East Lansing, Michigan, USA
| | - Laura Myers
- Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Precision Monitoring to Transform Care (PRIS-M) Quality Enhancement Research Initiative (QUERI), Richard L Roudebush VA Medical Center, Indianapolis, Indiana, USA
- Center for Health Information and Communication (CHIC), Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service CIN 13-416, Indianapolis, Indiana, USA
| | - Fitsum Baye
- Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Precision Monitoring to Transform Care (PRIS-M) Quality Enhancement Research Initiative (QUERI), Richard L Roudebush VA Medical Center, Indianapolis, Indiana, USA
- Department of Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Dawn M Bravata
- Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Precision Monitoring to Transform Care (PRIS-M) Quality Enhancement Research Initiative (QUERI), Richard L Roudebush VA Medical Center, Indianapolis, Indiana, USA
- Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
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12
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Angerer S, Buttinger K, Stummer H. The weekend effect revisited: evidence from the Upper Austrian stroke registry. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2019; 20:729-737. [PMID: 30756194 DOI: 10.1007/s10198-019-01035-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Accepted: 01/31/2019] [Indexed: 06/09/2023]
Abstract
Empirical evidence on the so-called 'weekend-effect' on stroke mortality is mixed with some studies reporting significantly higher mortality for weekend admissions and others finding no difference. The aim of this paper is to enhance the evidence on the weekend-effect on stroke mortality using a rich stroke registry data set from Upper Austria and to discuss underlying reasons for the heterogeneity in results. Using logistic regressions and ordinary least squares regressions with hospital and year-fixed effects, the outcomes of weekend versus weekday admissions are compared for patients admitted to 16 hospitals in Upper Austria with transient ischemic attack (TIA), cerebral infarction or hemorrhage between 2007 and 2015. The primary outcomes include in-hospital mortality, 30-day and 90-day all-cause mortality as well as the length of hospital stay. In addition, we analyze differences in process-quality indicators between weekdays and weekends. Our results show that on weekends there are on average 25% fewer admissions than on weekdays with significantly higher in-hospital mortality. Adjusting for case-mix, the association between weekend admissions and mortality becomes null suggesting that the higher mortality on weekends is explained by heterogeneities in admissions rather than health-care quality.
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Affiliation(s)
- Silvia Angerer
- UMIT, University for Health Sciences, Medical Informatics and Technology, Institute for Management and Economics in Healthcare, Eduard-Wallnöfer-Zentrum 1, 6060 Hall in Tirol, Austria
| | - Klaus Buttinger
- UMIT, University for Health Sciences, Medical Informatics and Technology, Institute for Management and Economics in Healthcare, Eduard-Wallnöfer-Zentrum 1, 6060 Hall in Tirol, Austria
- Salzkammergut Klinikum, Miller-von-Aichholz-Straße 49, 4810, Gmunden, Austria
| | - Harald Stummer
- UMIT, University for Health Sciences, Medical Informatics and Technology, Institute for Management and Economics in Healthcare, Eduard-Wallnöfer-Zentrum 1, 6060 Hall in Tirol, Austria.
- University Seeburg Castle, Institut für Gesundheitsmanagement und Innovation, Seeburgstraße 8, 5201, Seekirchen am Wallersee, Austria.
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13
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Khaksari BJ, Kulick ER, Elkind MSV, Boehme AK. "Weekend Effect" on 30-Day Readmissions among Stroke Survivors: An Analysis of the National Readmission Database. Cerebrovasc Dis Extra 2019; 9:66-71. [PMID: 31234190 PMCID: PMC7036528 DOI: 10.1159/000500611] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Accepted: 04/20/2019] [Indexed: 11/29/2022] Open
Abstract
Background and Purpose Previous studies suggested that quality of care may be lower on weekends than during the week. We hypothesized that, among patients hospitalized for an index ischemic stroke, those admitted on weekends would have a higher risk of 30-day readmission than those admitted on weekdays. Methods We utilized the 2013 Nationwide Readmission Database, which includes data on US inpatient admissions from the Agency for Healthcare Research and Quality Healthcare Utilization Project. The database includes a nationally representative weighted probability sample of inpatient hospitalizations regardless of insurance status. Patients with primary acute ischemic stroke were identified using previously validated ICD-9-CM diagnosis codes. We conducted a weighted analysis using survey design logistic regression models to estimate crude and adjusted odds ratios (OR) and 95% confidence intervals (95% CI) for the association between weekend admission and 30-day readmission in ischemic stroke patients. Results Among 319,317 patients admitted for ischemic stroke, 12.1% were readmitted within 30 days. Those with 30-day readmissions had an average of 8 chronic conditions, and all cardiovascular-related comorbidities increased the risk of 30-day readmissions. Ischemic stroke patients admitted on weekends had odds of 30-day readmission similar to patients admitted on weekdays (OR 1.02; 95% CI 0.98–1.06). Weekend admission also did not affect readmission at 7 or 60 days. Conclusions We found no association between weekend admission and 30-day readmissions, providing indirect evidence of homogeneity in the quality of care delivered during week day and weekend admissions.
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Affiliation(s)
- Bijan J Khaksari
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.,Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - Erin R Kulick
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.,Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - Mitchell S V Elkind
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.,Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - Amelia K Boehme
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA, .,Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA,
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14
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Hsieh CY, Su CC, Shao SC, Sung SF, Lin SJ, Kao Yang YH, Lai ECC. Taiwan's National Health Insurance Research Database: past and future. Clin Epidemiol 2019. [PMID: 31118821 DOI: 10.2147/clep.s196293.] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Taiwan's National Health Insurance Research Database (NHIRD) exemplifies a population-level data source for generating real-world evidence to support clinical decisions and health care policy-making. Like with all claims databases, there have been some validity concerns of studies using the NHIRD, such as the accuracy of diagnosis codes and issues around unmeasured confounders. Endeavors to validate diagnosed codes or to develop methodologic approaches to address unmeasured confounders have largely increased the reliability of NHIRD studies. Recently, Taiwan's Ministry of Health and Welfare (MOHW) established a Health and Welfare Data Center (HWDC), a data repository site that centralizes the NHIRD and about 70 other health-related databases for data management and analyses. To strengthen the protection of data privacy, investigators are required to conduct on-site analysis at an HWDC through remote connection to MOHW servers. Although the tight regulation of this on-site analysis has led to inconvenience for analysts and has increased time and costs required for research, the HWDC has created opportunities for enriched dimensions of study by linking across the NHIRD and other databases. In the near future, researchers will have greater opportunity to distill knowledge from the NHIRD linked to hospital-based electronic medical records databases containing unstructured patient-level information by using artificial intelligence techniques, including machine learning and natural language processes. We believe that NHIRD with multiple data sources could represent a powerful research engine with enriched dimensions and could serve as a guiding light for real-world evidence-based medicine in Taiwan.
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Affiliation(s)
- Cheng-Yang Hsieh
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,Department of Neurology, Tainan Sin Lau Hospital, Tainan, Taiwan
| | - Chien-Chou Su
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Shih-Chieh Shao
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,Department of Pharmacy, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Sheng-Feng Sung
- Division of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chiayi Christian Hospital, Chiayi City, Taiwan.,Department of Information Management and Institute of Healthcare Information Management, National Chung Cheng University, Chiayi County, Taiwan
| | - Swu-Jane Lin
- Department of Pharmacy Systems, Outcomes & Policy, College of Pharmacy, University of Illinois at Chicago, Chicago, IL, USA
| | - Yea-Huei Kao Yang
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Edward Chia-Cheng Lai
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,Department of Pharmacy, National Cheng Kung University Hospital, Tainan, Taiwan
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15
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Hsieh CY, Su CC, Shao SC, Sung SF, Lin SJ, Kao Yang YH, Lai ECC. Taiwan's National Health Insurance Research Database: past and future. Clin Epidemiol 2019; 11:349-358. [PMID: 31118821 PMCID: PMC6509937 DOI: 10.2147/clep.s196293] [Citation(s) in RCA: 854] [Impact Index Per Article: 142.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Accepted: 03/12/2019] [Indexed: 01/29/2023] Open
Abstract
Taiwan’s National Health Insurance Research Database (NHIRD) exemplifies a population-level data source for generating real-world evidence to support clinical decisions and health care policy-making. Like with all claims databases, there have been some validity concerns of studies using the NHIRD, such as the accuracy of diagnosis codes and issues around unmeasured confounders. Endeavors to validate diagnosed codes or to develop methodologic approaches to address unmeasured confounders have largely increased the reliability of NHIRD studies. Recently, Taiwan’s Ministry of Health and Welfare (MOHW) established a Health and Welfare Data Center (HWDC), a data repository site that centralizes the NHIRD and about 70 other health-related databases for data management and analyses. To strengthen the protection of data privacy, investigators are required to conduct on-site analysis at an HWDC through remote connection to MOHW servers. Although the tight regulation of this on-site analysis has led to inconvenience for analysts and has increased time and costs required for research, the HWDC has created opportunities for enriched dimensions of study by linking across the NHIRD and other databases. In the near future, researchers will have greater opportunity to distill knowledge from the NHIRD linked to hospital-based electronic medical records databases containing unstructured patient-level information by using artificial intelligence techniques, including machine learning and natural language processes. We believe that NHIRD with multiple data sources could represent a powerful research engine with enriched dimensions and could serve as a guiding light for real-world evidence-based medicine in Taiwan.
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Affiliation(s)
- Cheng-Yang Hsieh
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,Department of Neurology, Tainan Sin Lau Hospital, Tainan, Taiwan
| | - Chien-Chou Su
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Shih-Chieh Shao
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,Department of Pharmacy, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Sheng-Feng Sung
- Division of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chiayi Christian Hospital, Chiayi City, Taiwan.,Department of Information Management and Institute of Healthcare Information Management, National Chung Cheng University, Chiayi County, Taiwan
| | - Swu-Jane Lin
- Department of Pharmacy Systems, Outcomes & Policy, College of Pharmacy, University of Illinois at Chicago, Chicago, IL, USA
| | - Yea-Huei Kao Yang
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Edward Chia-Cheng Lai
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,Department of Pharmacy, National Cheng Kung University Hospital, Tainan, Taiwan
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16
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Lin SM, Wang JH, Huang LK, Huang HK. Does the 'Chinese New Year effect' exist? Hospital mortality in patients admitted to internal medicine departments during official consecutive holidays: a nationwide population-based cohort study. BMJ Open 2019; 9:e025762. [PMID: 31005924 PMCID: PMC6500326 DOI: 10.1136/bmjopen-2018-025762] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
OBJECTIVE Our study aimed to compare the mortality risk among patients admitted to internal medicine departments during official consecutive holidays (using Chinese New Year holidays as an indicator) with that of weekend and weekday admissions. DESIGN Nationwide population-based cohort study. SETTING Taiwan's National Health Insurance Research Database. PATIENTS Patients admitted to internal medicine departments in acute care hospitals during January and February each year between 2001 and 2013 were identified. Admissions were categorised as: Chinese New Year holiday (n=10 779), weekend (n=35 870) or weekday admissions (n=143 529). OUTCOME MEASURES ORs for in-hospital mortality and 30-day mortality were calculated using multivariate logistic regression with adjustment for confounders. RESULTS Both in-hospital and 30-day mortality were significantly higher for patients admitted during the Chinese New Year holidays and on weekends compared with those admitted on weekdays. Chinese New Year holiday admissions had a 38% and 40% increased risk of in-hospital (OR=1.38, 95% CI 1.27 to 1.50, p<0.001) and 30-day (OR=1.40, 95% CI 1.31 to 1.50, p<0.001) mortality, respectively, compared with weekday admissions. Weekend admissions had a 17% and 19% increased risk of in-hospital (OR=1.17, 95% CI 1.10 to 1.23, p<0.001) and 30-day (OR=1.19, 95% CI 1.14 to 1.24, p<0.001) mortality, respectively, compared with weekday admissions. Analyses stratified by principal diagnosis revealed that the increase in in-hospital mortality risk was highest for patients admitted on Chinese New Year holidays with a diagnosis of ischaemic heart disease (OR=3.43, 95% CI 2.46 to 4.80, p<0.001). CONCLUSIONS The mortality risk was highest for patients admitted during Chinese New Year holidays, followed by weekend admissions, and then weekday admissions. Further studies are necessary to identify the underlying causes and develop strategies to improve outcomes for patients admitted during official consecutive holidays.
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Affiliation(s)
- Shu-Man Lin
- Department of Physical Medicine and Rehabilitation, Buddhist Tzu Chi General Hospital, Hualien, Taiwan
| | - Jen-Hung Wang
- Department of Medical Research, Buddhist Tzu Chi General Hospital, Hualien, Taiwan
| | - Liang-Kai Huang
- Department of Family Medicine, Buddhist Tzu Chi General Hospital, Hualien, Taiwan
| | - Huei-Kai Huang
- Department of Family Medicine, Buddhist Tzu Chi General Hospital, Hualien, Taiwan
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17
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Lapointe-Shaw L, Bell CM. Who elects the weekend? PLoS Med 2019; 16:e1002732. [PMID: 30695022 PMCID: PMC6350955 DOI: 10.1371/journal.pmed.1002732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Chaim M. Bell and Lauren Lapointe-Shaw discuss the meaning of the "weekend effect" in outcomes for hospital admissions and surgeries, and comment on surprising new results published in PLOS Medicine this week.
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Affiliation(s)
| | - Chaim M. Bell
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, Sinai Health System, Toronto, Ontario, Canada
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18
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Linzey JR, Pandey AS. Does Surgical Start Time or Weekend Presentation Affect Clinical Outcome for Patients Presenting with Neurosurgical Pathology? World Neurosurg 2018; 123:281-282. [PMID: 30593964 DOI: 10.1016/j.wneu.2018.12.076] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Joseph R Linzey
- School of Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Aditya S Pandey
- Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan, USA
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19
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Wang V, Hsieh CC, Huang YL, Chen CP, Hsieh YT, Chao TH. Different utilization of intensive care services (ICSs) for patients dying of hemorrhagic and ischemic stroke, a hospital-based survey. Medicine (Baltimore) 2018; 97:e0017. [PMID: 29465539 PMCID: PMC5841996 DOI: 10.1097/md.0000000000010017] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
The intensive care service (ICS) saves lives and rescues the neurological function of stroke patients. We wondered the different utilization of ICS for patients with ischemic and hemorrhagic stroke, especially those who died within 30 days after stroke.Sixty-seven patients died during 2011 to 2015 due to acute stroke (42 due to intracranial hemorrhage [ICH]; 25 due to cerebral infarct [CI]). The durations of hospital stay (hospital staying days [HSDs]) and ICS staying days (ISDs) and codes of the do-not-resuscitate (DNR) were surveyed among these medical records. Statistics included chi-square and descriptive analyses.In this study, CI patients had a longer HSD (mean 14.3 days), as compared with ICH patients (mean 8.3 days); however, the ICH patients had a higher percentage of early entry within the first 24 hours of admission into ICS than CI group (95.1% vs 60.0%, P = .003). A higher rate of CI patients died in holidays or weekends than those with ICH (44.0% vs 21.4%, P = .051). DNR, requested mainly from direct descendants (children or grandchildren), was coded in all 25 CI patients (100.0%) and 38 ICH patients (90.5%). More cases with early DNR coded within 24 hours after admission occurred in ICH group (47%, 12% in CI patients, P = .003). None of the stroke patient had living wills. Withhold of endotracheal intubation (ETI) occurred among CI patients, more than for ICH patients (76.0% vs 18.4%, P < .005).In conclusion, CI patients longer HSD, ISD, higher mortality within holidays or weekends, and higher ETI withhold; but less percentage of ICS utilization expressed by a lower ISD/HSD ratio. This ICS utilization is a key issue of medical quality for stroke care.
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Affiliation(s)
- Vinchi Wang
- Department of Neurology, Cardinal Tien Hospital
- School of Medicine, College of Medicine, Fu-Jen Catholic University
- Medical Quality Management Center
| | | | | | - Chia-Ping Chen
- Information Technology Office, Yonghe Cardinal Tien Hospital, New Taipei City, Taiwan
| | | | - Tzu-Hao Chao
- Department of Neurology, Cardinal Tien Hospital
- School of Medicine, College of Medicine, Fu-Jen Catholic University
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20
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Schubert I, Hammer A, Köster I. [Severity assessment strategies based on administrative data using stroke as an example]. ZEITSCHRIFT FUR EVIDENZ FORTBILDUNG UND QUALITAET IM GESUNDHEITSWESEN 2017; 126:66-75. [PMID: 28807634 DOI: 10.1016/j.zefq.2017.06.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Revised: 06/27/2017] [Accepted: 06/28/2017] [Indexed: 10/19/2022]
Abstract
BACKGROUND AND OBJECTIVES Information on disease severity is relevant for many studies with claims data in health service research, but only limited information is available in routine data. Stroke serves as an example to analyse whether the combination of different information in claims data can provide insight into the severity of a disease. METHOD As a first step, a literature search was conducted. Strategies to assess the severity of a disease by means of routine data were examined with regard to approval and applicability to German sickness fund data. In order to apply and extend the identified procedures, the statutory health insurance sample AOK Hessen/KV Hessen (VSH) served as data source. It is an 18.75 % random sample of persons insured by the AOK Hessen, with 2013 being the most recent year. Stroke patients were identified by the ICD-10 GM code I63 and I64. Patients with said diagnoses being coded as a hospital discharge diagnosis in 2012 were included due to an acute event in 2012 (n=944). The follow-up time was one year. RESULTS Ten studies covering seven different methods to assess stroke severity were identified. Codes for coma (4.2 % of stroke patients in the SHI sample) as well as coma and/or the application of a PEG tube (9.8 % of the stroke patients) were applied as a proxy for disease severity of acute cases. Taking age, sex and comorbidity into consideration, patients in a coma show a significantly increased risk of mortality compared to those without coma. Three operationalisations were chosen as possible proxies for disease severity of stroke in the further course of disease: i) sequelae (hemiplegia, neurological neglect), ii) duration of the index inpatient stay, and iii) nursing care/ care level 3 for the first time after stroke. The latter proxy has the highest explanatory value for SHI costs. CONCLUSION The studies identified use many variables mainly based on hospital information in order to describe disease severity. With the exception of coma, these proxies were neither validated nor did the authors provide more detailed grounds for their use. An identified score for stroke severity could not be applied to SHI data. To develop a comparable score requires a linkage of clinical and administrative data. Since routine data include information from all sectors of care, it should be explored whether these data (for example, the patients' care needs) are suitable to assess disease severity. For validation, separate databases and, optimally, primary patient data are necessary.
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Affiliation(s)
- Ingrid Schubert
- PMV forschungsgruppe an der Klinik und Poliklinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters der Universität zu Köln, Köln, Deutschland.
| | - Antje Hammer
- Institut für Patientensicherheit, Universitätsklinikum Bonn, Bonn, Deutschland.
| | - Ingrid Köster
- PMV forschungsgruppe an der Klinik und Poliklinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters der Universität zu Köln, Köln, Deutschland.
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21
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Tanaka K, Nakada TA, Fukuma H, Nakao S, Masunaga N, Tomita K, Matsumura Y, Mizushima Y, Matsuoka T. Development of a novel information and communication technology system to compensate for a sudden shortage of emergency department physicians. Scand J Trauma Resusc Emerg Med 2017; 25:6. [PMID: 28114953 PMCID: PMC5260081 DOI: 10.1186/s13049-017-0347-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2016] [Accepted: 01/10/2017] [Indexed: 11/29/2022] Open
Abstract
Background A sudden shortage of physician resources due to overwhelming patient needs can affect the quality of care in the emergency department (ED). Developing effective response strategies remains a challenging research area. We created a novel system using information and communication technology (ICT) to respond to a sudden shortage, and tested the system to determine whether it would compensate for a shortage. Methods Patients (n = 4890) transferred to a level I trauma center in Japan during 2012–2015 were studied. We assessed whether the system secured the necessary physicians without using other means such as phone or pager, and calculated fulfillment rate by the system as a primary outcome variable. We tested for the difference in probability of multiple casualties among total casualties transferred to the ED as an indicator of ability to respond to excessive patient needs, in a secondary analysis before and after system introduction. Results The system was activated 24 times (stand-by request [n = 12], attendance request [n = 12]) in 24 months, and secured the necessary physicians without using other means; fulfillment rate was 100%. There was no significant difference in the probability of multiple casualties during daytime weekdays hours before and after system introduction, while the probability of multiple casualties during night or weekend hours after system introduction significantly increased compared to before system introduction (4.8% vs. 12.9%, P < 0.0001). On the whole, the probability of multiple casualties increased more than 2 times after system introduction 6.2% vs. 13.6%, P < 0.0001). Discussion After introducing the system, probability of multiple casualties increased. Thus the system may contribute to improvement in the ability to respond to sudden excessive patient needs in multiple causalities. Conclusions A novel system using ICT successfully secured immediate responses from needed physicians outside the hospital without increasing user workload, and increased the ability to respond to excessive patient needs. The system appears to be able to compensate for a shortage of physician in the ED due to excessive patient transfers, particularly during off-hours.
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Affiliation(s)
- Kumiko Tanaka
- Senshu Trauma and Critical Care Center, 2-23 Rinku Orai Kita, Osaka, 598-8577, Japan.,Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, 1-8-1 Inohana, Chuo, Chiba, 260-8677, Japan
| | - Taka-Aki Nakada
- Senshu Trauma and Critical Care Center, 2-23 Rinku Orai Kita, Osaka, 598-8577, Japan. .,Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, 1-8-1 Inohana, Chuo, Chiba, 260-8677, Japan.
| | - Hiroshi Fukuma
- Senshu Trauma and Critical Care Center, 2-23 Rinku Orai Kita, Osaka, 598-8577, Japan
| | - Shota Nakao
- Senshu Trauma and Critical Care Center, 2-23 Rinku Orai Kita, Osaka, 598-8577, Japan
| | - Naohisa Masunaga
- Senshu Trauma and Critical Care Center, 2-23 Rinku Orai Kita, Osaka, 598-8577, Japan
| | - Keisuke Tomita
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, 1-8-1 Inohana, Chuo, Chiba, 260-8677, Japan
| | - Yosuke Matsumura
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, 1-8-1 Inohana, Chuo, Chiba, 260-8677, Japan
| | - Yasuaki Mizushima
- Senshu Trauma and Critical Care Center, 2-23 Rinku Orai Kita, Osaka, 598-8577, Japan
| | - Tetsuya Matsuoka
- Senshu Trauma and Critical Care Center, 2-23 Rinku Orai Kita, Osaka, 598-8577, Japan
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Sung SF, Hsieh CY, Lin HJ, Chen YW, Chen CH, Kao Yang YH, Hu YH. Validity of a stroke severity index for administrative claims data research: a retrospective cohort study. BMC Health Serv Res 2016; 16:509. [PMID: 27660046 PMCID: PMC5034530 DOI: 10.1186/s12913-016-1769-8] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2016] [Accepted: 09/16/2016] [Indexed: 11/10/2022] Open
Abstract
Background Ascertaining stroke severity in claims data-based studies is difficult because clinical information is unavailable. We assessed the predictive validity of a claims-based stroke severity index (SSI) and determined whether it improves case-mix adjustment. Methods We analyzed patients with acute ischemic stroke (AIS) from hospital-based stroke registries linked with a nationwide claims database. We estimated the SSI according to patient claims data. Actual stroke severity measured with the National Institutes of Health Stroke Scale (NIHSS) and functional outcomes measured with the modified Rankin Scale (mRS) were retrieved from stroke registries. Predictive validity was tested by correlating SSI with mRS. Logistic regression models were used to predict mortality. Results The SSI correlated with mRS at 3 months (Spearman rho = 0.578; 95 % confidence interval [CI], 0.556–0.600), 6 months (rho = 0.551; 95 % CI, 0.528–0.574), and 1 year (rho = 0.532; 95 % CI 0.504–0.560). Mortality models with the SSI demonstrated superior discrimination to those without. The AUCs of models including the SSI and models with the NIHSS did not differ significantly. Conclusions The SSI correlated with functional outcomes after AIS and improved the case-mix adjustment of mortality models. It can act as a valid proxy for stroke severity in claims data-based studies. Electronic supplementary material The online version of this article (doi:10.1186/s12913-016-1769-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Sheng-Feng Sung
- Division of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chiayi Christian Hospital, 539 Zhongxiao Road, East District, Chiayi City, 60002, Taiwan
| | - Cheng-Yang Hsieh
- Department of Neurology, Tainan Sin Lau Hospital, 57, Section 1, Dongmen Road, East District, Tainan, 70142, Taiwan
| | - Huey-Juan Lin
- Department of Neurology, Chi Mei Medical Center, 901 Zhonghua Road, Yongkang District, Tainan, 710, Taiwan
| | - Yu-Wei Chen
- Department of Neurology, Landseed Hospital, 77 Guangtai Road, Pingjhen District, Taoyuan, Taiwan.,Department of Neurology, National Taiwan University Hospital, 7 Zhongshan South Road, Zhongzheng District, Taipei, 10002, Taiwan
| | - Chih-Hung Chen
- Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, 1 University Road, East District, Tainan, 701, Taiwan
| | - Yea-Huei Kao Yang
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, 1 University Road, East District, Tainan, 701, Taiwan
| | - Ya-Han Hu
- Department of Information Management and Institute of Healthcare Information Management, National Chung Cheng University, 168 University Road, Min-Hsiung, Chiayi County, 62102, Taiwan.
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