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Razavilar N, Tran DT, Dukelow SP, Round J. Utilization of early supported discharge and outpatient rehabilitation services following inpatient stroke rehabilitation. Arch Public Health 2024; 82:80. [PMID: 38816872 PMCID: PMC11137928 DOI: 10.1186/s13690-024-01300-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 04/29/2024] [Indexed: 06/01/2024] Open
Abstract
BACKGROUND Studies examining factors associated with patient referral to early supported discharge (ESD)/outpatient rehabilitation (OPR) programs and utilization of ESD/OPR services after discharge from inpatient stroke rehabilitation (IPR) are scarce. Accordingly, we examined utilization of ESD/OPR services following discharge from IPR and patient factors associated with service utilization. METHODS Stroke patients discharged from IPR facilities in Alberta between April 2014 and March 2016 were included and followed for one year for ESD/OPR service utilization. Multivariable linear and negative binomial regressions were used to examine association of patients' factors with ESD/OPR use. RESULTS We included 752 patients (34.4% of 2,187 patients discharged from IPR) who had 40,772 ESD/OPR visits during one year of follow-up in the analysis. Mean and median ESD/OPR visits were 54.2 and 36 visits, respectively. Unadjusted ESD/OPR visits were lower in females and patients aged ≥ 60 years but were similar between urban and rural areas. After adjustment for patient factors, patients in urban areas and discharged home after IPR were associated with 83.5% and 61.9%, respectively, increase in ESD/OPR visits, while having a right-body stroke was associated with 23.5% increase. Older patients used ESD/OPR less than their younger counterparts (1.4% decrease per one year of older age). Available factors explained 12.3% of variation in ESD/OPR use. CONCLUSION ESD/OPR utilization after IPR in Alberta was low and varied across age and geographic locations. Factors associated with use of ESD/OPR were identified but they could not fully explain variation of ESD/OPR use.
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Affiliation(s)
| | - Dat T Tran
- Institute of Health Economics, Edmonton, AB, Canada
- School of Public Health, University of Alberta, Edmonton, AB, Canada
| | - Sean P Dukelow
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Jeff Round
- Institute of Health Economics, Edmonton, AB, Canada
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
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Gams Massi D, Niakam Mbouleup FT, Dissongo JI, Mapoure YN. Epidemiology, clinical features and outcome of stroke in rural versus urban hospitals in Cameroon. J Stroke Cerebrovasc Dis 2024; 33:107580. [PMID: 38325033 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107580] [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: 10/03/2023] [Revised: 01/07/2024] [Accepted: 01/11/2024] [Indexed: 02/09/2024] Open
Abstract
OBJECTIVES Stroke is a major public health problem worldwide with disparities between urban and rural areas. The aim of this study was to compare the epidemiological, clinical features and outcomes of stroke between rural and urban hospitals in Cameroon. MATERIALS AND METHODS We conducted a retrospective cohort study at the Douala General Hospital (urban) and Ad Lucem Hospital of Banka (rural) from January 1st, 2014, to December 31st, 2019. The medical records of all patients admitted for stroke, and meeting the inclusion criteria were reviewed. Diagnosis of stroke was based on brain imaging and/or the World Health Organization definition. Data were analyzed using SPSS version 20.0. RESULTS Among the 15277 files reviewed, 752 were included with 623 cases (82.80%) in urban areas. The percentage of patients hospitalized for stroke were 9.06% and 2.85% in urban and rural hospitals respectively. The frequency of patients admitted for severe stroke (Glasgow coma scale ≤ 8) was higher in the rural hospital (p = 0.004). In-hospital mortality (p = 0.010), cumulative mortality at one-month (p = 0.018), poor functional recovery (p = 0.002), one-year stroke recurrence (p = 0.020) were significantly higher in rural setting. Undefined stroke was predictor of mortality in the rural hospital, while hemorrhagic stroke was predictor of mortality at one-month in the urban hospital. CONCLUSIONS Stroke cases were significantly more severe with poor outcomes in the rural hospital. Efforts are needed to improve prevention, and access to stroke care for communities, especially in rural setting.
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Affiliation(s)
- Daniel Gams Massi
- Douala General Hospital, Faculty of Health Sciences, University of Buea, PO Box: 4856, Douala, Cameroon.
| | | | - Jean Ii Dissongo
- Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Cameroon
| | - Yacouba Njankouo Mapoure
- Douala General Hospital, Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Cameroon
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Goh R, Hillier S, Kelly TL, Worley A, Dixon K, Kurunawai C, Tan A, Mahadevan J, Willcourt M, Jannes J, Kleinig T. Implementation of the South Australian Regional Telestroke service is associated with improved care quality and lower stroke mortality: A retrospective cohort study. Aust J Rural Health 2023; 31:878-885. [PMID: 37350539 DOI: 10.1111/ajr.13012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 06/08/2023] [Accepted: 06/12/2023] [Indexed: 06/24/2023] Open
Abstract
INTRODUCTION Stroke in Regional Australia may have worse outcomes due to difficulties accessing optimal care. The South Australian Regional Telestroke service aimed to improve telestroke neurologist access, supported by improved ambulance triage. OBJECTIVE To assess stroke care quality and patient mortality pre- and postimplementation of a vascular neurologist-led Telestroke service. DESIGN Historically controlled mixed methods cohort study comparing key quality indicators and patient mortality (6 months pre- vs. 18 months postimplementation date [4 June 2018]) at the three major South Australian regional stroke centres. The primary outcome was 13 care quality indicators as a combined composite risk-adjusted score, and the secondary outcome was risk-adjusted mortality at 12-month postadmission. FINDINGS On an annualised basis, of 189 patients with stroke, more were admitted postintervention to the regional stroke centres than in the control period (158 [annualised rate 105.3, 95% CI 86.2-127.4] vs. 31 [annualised rate 62.0, 95% CI 47.5-79.5]) Baseline patient characteristics were similar in both periods. Post-implementation, median last-known-well time to presentation (3.5 h [IQR 1.6-17] vs. 2.0 [IQR 1-14]; p = 0.46) and door to needle times (121 min [IQR 97-144] vs. 90 [IQR 75-138]; p = 0.65) were not significantly lower but an improvement in the combined composite quality score was observed (0.069 [95% CI 0.004-0.134; p = 0.04]), reflecting individual improvements in some quality indicators. Mortality at 12-month postimplementation was substantially lower postimplementation (prechange 23% vs. postchange 13% [hazard ratio 0.58 (95% CI 0.44-0.76; p < 0.001)]). CONCLUSION Implementation of a South Australian Regional Telestroke service was associated with improved care metrics and lower mortality.
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Affiliation(s)
- Rudy Goh
- Royal Adelaide Hospital, Adelaide, South Australia, Australia
- University of Adelaide, Adelaide, South Australia, Australia
- Lyell McEwin Hospital, Elizabeth Vale, South Australia, Australia
| | - Susan Hillier
- University of South Australia, Adelaide, South Australia, Australia
| | - Thu-Lan Kelly
- University of South Australia, Adelaide, South Australia, Australia
| | - Anthea Worley
- University of South Australia, Adelaide, South Australia, Australia
| | - Karen Dixon
- Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Craig Kurunawai
- Royal Adelaide Hospital, Adelaide, South Australia, Australia
- University of Adelaide, Adelaide, South Australia, Australia
| | - Aaron Tan
- Royal Adelaide Hospital, Adelaide, South Australia, Australia
- University of Adelaide, Adelaide, South Australia, Australia
| | - Joshua Mahadevan
- Royal Adelaide Hospital, Adelaide, South Australia, Australia
- University of Adelaide, Adelaide, South Australia, Australia
| | | | - Jim Jannes
- Royal Adelaide Hospital, Adelaide, South Australia, Australia
- University of Adelaide, Adelaide, South Australia, Australia
| | - Timothy Kleinig
- Royal Adelaide Hospital, Adelaide, South Australia, Australia
- University of Adelaide, Adelaide, South Australia, Australia
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Tran PM, Tran LT, Zhu C, Chang T, Powers IP, Goldstein LB, Lichtman JH. Rural Residence and Antihypertensive Medication Use in US Stroke Survivors. J Am Heart Assoc 2022; 11:e026678. [PMID: 35862140 PMCID: PMC9375512 DOI: 10.1161/jaha.122.026678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 06/21/2022] [Indexed: 11/16/2022]
Abstract
Background Relatively greater increases in hypertension prevalence among US rural residents may contribute to geographic disparities in recurrent stroke. There is limited US information on poststroke antihypertensive medication use by rural/urban residence. We assessed antihypertensive use and lifestyle characteristics for US rural compared with urban stroke survivors and residence-based trends in use between 2005 and 2019. Methods and Results US stroke survivors with hypertension were identified in the 2005 to 2019 national Behavioral Risk Factor Surveillance System surveys. We ascertained the survey-weighted prevalence of reported antihypertensive use and lifestyle characteristics (ie, physical activity, diabetes, cholesterol, body mass index, and smoking) among respondents with hypertension in odd years over this period by rural/urban residence. Separate trend analyses were used to detect changes in use over time. Survey-weighted logistic regression was used to calculate unadjusted and adjusted (sociodemographic and lifestyle factors) odds ratios for antihypertensive use by year. Our study included 82 175 individuals (36.4% rural residents). Lifestyle characteristics were similar between rural and urban residents except for higher smoking prevalence among rural residents. Antihypertensive use was similar between rural and urban stroke survivors in unadjusted and adjusted analyses (>90% in both populations). Trend analyses showed a small but significant increase in antihypertensive use over time among urban (P=0.033) but not rural stroke survivors (P=0.587). Conclusions Our findings indicate that poststroke antihypertensive use is comparable in rural and urban residents with a reported history of hypertension, but additional work is merited to identify reasons for a trend for increased use of these drugs among urban residents.
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Affiliation(s)
- Phoebe M. Tran
- Department of Public HealthUniversity of TennesseeKnoxvilleTN
| | - Lam T. Tran
- Department of BiostatisticsUniversity of MichiganAnn ArborMI
| | - Cenjing Zhu
- Department of Chronic Disease EpidemiologyYale UniversityNew HavenCT
| | - Tiffany Chang
- Department of Chronic Disease EpidemiologyYale UniversityNew HavenCT
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Thompson SG, Barber PA, Gommans JH, Cadilhac DA, Davis A, Fink JN, Harwood M, Levack W, McNaughton HK, Feigin VL, Abernethy V, Girvan J, Kim J, Denison H, Corbin M, Wilson A, Douwes J, Ranta A. Geographic Disparities in Stroke Outcomes and Service Access: A Prospective Observational Study. Neurology 2022; 99:e414-e426. [PMID: 35623890 PMCID: PMC9421775 DOI: 10.1212/wnl.0000000000200526] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Accepted: 03/01/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND AND OBJECTIVES International evidence shows that patients treated at nonurban hospitals experience poorer access to key stroke interventions. Evidence for whether this results in poorer outcomes is conflicting and generally based on administrative or voluntary registry data. The aim of this study was to use prospective high-quality comprehensive nationwide patient-level data to investigate the association between hospital geography and outcomes of patients with stroke and access to best-practice stroke care in New Zealand. METHODS This is a prospective, multicenter, nationally representative observational study involving all 28 New Zealand acute stroke hospitals (18 nonurban) and affiliated rehabilitation and community services. Consecutive adults admitted to the hospital with acute stroke between May 1 and October 31, 2018, were captured. Outcomes included functional outcome (modified Rankin Scale [mRS] score shift analysis), functional independence (mRS score 0-2), quality of life (EuroQol 5-dimension, 3-level health-related quality of life questionnaire), stroke/vascular events, and death at 3, 6, and 12 months and proportion accessing thrombolysis, thrombectomy, stroke units, key investigations, secondary prevention, and inpatient/community rehabilitation. Results were adjusted for age, sex, ethnicity, stroke severity/type, comorbid conditions, baseline function, and differences in baseline characteristics. RESULTS Overall, 2,379 patients were eligible (mean [SD] age 75 [13.7] years; 51.2% male; 1,430 urban, 949 nonurban). Patients treated at nonurban hospitals were more likely to score in a higher mRS score category (greater disability) at 3 (adjusted odds ratio [aOR] 1.28, 95% CI 1.07-1.53), 6 (aOR 1.33, 95% CI 1.07-1.65), and 12 (aOR 1.31, 95% CI 1.06-1.62) months and were more likely to have died (aOR 1.57, 95% CI 1.17-2.12) or experienced recurrent stroke and vascular events at 12 months (aOR 1.94, 95% CI 1.14-3.29 and aOR 1.65, 95% CI 1.09-2.52). Fewer nonurban patients received recommended stroke interventions, including endovascular thrombectomy (aOR 0.25, 95% CI 0.13-0.49), acute stroke unit care (aOR 0.60, 95% CI 0.49-0.73), antiplatelet prescriptions (aOR 0.72, 95% CI 0.58-0.88), ≥60 minutes of daily physical therapy (aOR 0.55, 95% CI 0.40-0.77), and community rehabilitation (aOR 0.69, 95% CI 0.56-0.84). DISCUSSION Patients managed at nonurban hospitals experience poorer stroke outcomes and reduced access to key stroke interventions across the entire care continuum. Efforts to improve access to high quality stroke care in nonurban hospitals should be a priority.
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Affiliation(s)
- Stephanie G Thompson
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - P Alan Barber
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - John H Gommans
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Dominique A Cadilhac
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Alan Davis
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - John N Fink
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Matire Harwood
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - William Levack
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Harry K McNaughton
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Valery L Feigin
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Virginia Abernethy
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Jacqueline Girvan
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Joosup Kim
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Hayley Denison
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Marine Corbin
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Andrew Wilson
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Jeroen Douwes
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand
| | - Annemarei Ranta
- From the Department of Medicine (S.G.T., W.L., A.R.), University of Otago, Wellington; Departments of Medicine (P.A.B.) and General Practice (M.H.), Auckland University; Department of Medicine (J.H.G.), Hawke's Bay District Health Board, New Zealand; Department of Medicine (D.A.C., J.K.), School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medicine (A.D.), Whangarei Hospital; Department of Neurology (J.N.F.), Canterbury District Health Board, Christchurch; Medical Research Institute of New Zealand (H.K.M.), Wellington; Auckland University of Technology (V.L.F.); Stroke Foundation New Zealand (V.A.), Wellington; Consumer Advisor (J.G.); Centre for Public Health and Epidemiology (H.D., M.C., J.D.), Massey University, Wellington; Department of Medicine (A.W.), Wairau Hospital, Blenheim; and Department of Neurology (A.R.), Capital & Coast District Health Board, Wellington, New Zealand.
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Olson DM, Provencher M, Stutzman SE, Hynan LS, Novakovic S, Guttikonda S, Figueroa S, Novakovic-White R, Yang JP, Goldberg MP. Outcomes From a Nursing-Driven Acute Stroke Care Protocol for Telehealth Encounters. J Emerg Nurs 2022; 48:406-416. [PMID: 35487769 DOI: 10.1016/j.jen.2022.01.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 01/06/2022] [Accepted: 01/31/2022] [Indexed: 10/18/2022]
Abstract
INTRODUCTION Nursing care is widely recognized to be a vital element in stroke care delivery. However, no publications examining clinical education and optimal workflow practices as predictors of acute ischemic stroke care metrics exist. This study aimed to explore the impact of a nurse-led workflow to improve patient care that included telestroke encounters in the emergency department. METHODS A nonrandomized prospective pre- and postintervention unit-level feasibility study design was used to explore how implementing nurse-driven acute stroke care affects the efficiency and quality of telestroke encounters in the emergency department. Nurses and providers in the emergency department received education/training, and then the Nursing-Driven Acute Ischemic Stroke Care protocol was implemented. RESULTS There were 180 acute ischemic stroke encounters (40.3%) in the control phase and 267 (59.7%) in the postintervention phase with similar demographic characteristics. Comparing the control with intervention times directly affected by the nurse-driven protocol, there was a significant reduction in median door-to-provider times (5 [interquartile range 12] vs 2 [interquartile range 9] minutes, P < .001) and in median door-to-computed tomography scan times (9 [interquartile range 18] vs 5 [interquartile range 11] minutes, P < .001); however, the metrics potentially affected by extraneous variables outside of the nurse-driven protocol demonstrated longer median door-to-ready times (21 [interquartile range 24] vs 25 [interquartile range 25] minutes, P < .001). Door-to-specialist and door-to-needle times were not significantly different. DISCUSSION In this sample, implementation of the nurse-driven acute stroke care protocol is associated with improved nurse-sensitive stroke time metrics but did not translate to faster delivery of thrombolytic agents for acute ischemic stroke, emphasizing the importance of well-outlined workflows and standardized stroke code protocols at every point in acute ischemic stroke care.
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Sealy-Jefferson S, Roseland M, Cote ML, Lehman A, Whitsel EA, Booza J, Simon MS. Rural-Urban Residence and Stroke Risk and Severity in Postmenopausal Women: The Women's Health Initiative. WOMEN'S HEALTH REPORTS 2020; 1:326-333. [PMID: 33786496 PMCID: PMC7784801 DOI: 10.1089/whr.2020.0034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Accepted: 06/22/2020] [Indexed: 11/13/2022]
Abstract
Background: The impact of rural–urban residence on stroke risk and poor stroke outcomes among postmenopausal women is unknown. Methods: We used data from the Women's Health Initiative (WHI) (1993–2014; n = 155,186) to test the hypothesis that women who live in rural compared with urban areas have higher stroke risk and worse stroke outcomes than urban women. We used rural–urban commuting area codes to categorize geocoded participant addresses into urban, large rural, or small rural areas. Incident strokes during follow-up were adjudicated by neurologists who used standardized criteria for reviewing brain imaging reports and other medical records and determining stroke subtype. Stroke functional recovery was measured with the Glasgow Stroke Outcomes Scale ascertained from the hospital record. We used univariable and multivariable-adjusted Cox proportional hazards models as well as logistic regression models to test whether rural–urban residence predicted stroke risk and odds of poor stroke outcome. Results: Among the 155,186 women in our cohort, 2.3% (n = 3514) had an incident stroke. We observed a modest reduction in risk of incident stroke among women who lived in urban (adjusted hazard ratio [aHR]: 0.86, confidence interval [95% CI]: 0.71–1.05) and large rural areas (aHR: 0.79, 95% CI: 0.60–1.04) compared with women who lived in small rural areas. In contrast, women who lived in urban compared with large rural areas had a similarly modest increased risk of stroke (aHR: 1.09, 95% CI: 0.89–1.32). Women who lived in urban compared with large rural areas were more likely to have poor stroke outcome (odds ratio [OR]: 1.41, 95% CI: 1.06–1.88), but the association was attenuated after adjustment for covariates (adjusted OR [aOR]: 1.27, 0.93–1.74). Conclusions: Future studies should confirm and examine the potential pathways of the reported associations among postmenopausal women.
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Affiliation(s)
- Shawnita Sealy-Jefferson
- Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, Ohio, USA
| | - Molly Roseland
- Beaumont Hospital, Oakwood Campus, Dearborn, Michigan, USA
| | - Michele L Cote
- Department of Oncology, Karmanos Cancer Institute Population Studies and Disparities Research Program, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Amy Lehman
- Center for Biostatistics, Ohio State University, Columbus, Ohio, USA
| | - Eric A Whitsel
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Jason Booza
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, Michigan, USA
| | - Michael S Simon
- Department of Oncology, Karmanos Cancer Institute Population Studies and Disparities Research Program, Wayne State University School of Medicine, Detroit, Michigan, USA
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8
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Guo J, He M, Magnani JW, Brooks MM, Gellad WF, Hernandez I. Comparison of Oral Anticoagulant Use and Stroke Risk Among Older Adults Newly-Diagnosed Atrial Fibrillation Living in Urban-Versus-Rural Areas. Am J Cardiol 2020; 130:64-69. [PMID: 32680675 DOI: 10.1016/j.amjcard.2020.06.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 06/08/2020] [Accepted: 06/09/2020] [Indexed: 10/24/2022]
Abstract
We aimed to assess the association between urban/rural residence and the risk of ischemic stroke in individuals with newly diagnosed atrial fibrillation (AF), and to quantify the role of oral anticoagulation (OAC) initiation in the variation in stroke risk between urban and rural residents with AF. Using 5% random samples of Medicare claims, we identified fee-for-service beneficiaries who were diagnosed with AF between January 2014 and December 2015. Beneficiaries were followed for 1 year since their AF diagnosis, and were categorized according to their initiation of OAC within the year. We used the Rural-Urban Continuum Codes to define urban (levels 1 to 3) and rural (levels 4 to 9) areas. We applied marginal structural models to examine to what extent the difference in stroke risk between rural and urban areas were attributable to the difference in OAC initiation. In the year of AF diagnosis, 52% of those residing in urban areas and 56% residing in rural areas initiated an OAC (p <0.001). Urban residence, compared with rural residence, was associated with a 22% (hazard ratio and 95% confidence interval: 1.22 [1.13, 1.31]) increased risk of stroke. The hazard ratio attributed to urban residence decreased to 1.14 (1.01, 1.30) after accounting for the mediating role of lack of OAC initiation. Lack of OAC initiation explained 34% of the increased stroke risk observed in urban areas. In conclusion, urban residents with newly diagnosed AF were less likely to initiate OAC than rural counterparts, which explained one third of the increased risk of stroke observed in urban areas.
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Jang DE, Zuñiga JA. Factors associated with medication persistence among ischemic stroke patients: a systematic review. Neurol Res 2020; 42:537-546. [PMID: 32321382 DOI: 10.1080/01616412.2020.1754640] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
OBJECTIVE An investigation of the prevalence of medication persistence and associated factors in order to inform effective strategies for improving medication persistence. METHODS A systematic review of the literature from 2010 to the present was performed, using the PRISMA protocol. Primary and empirical observational studies of adult ischemic stroke or transient ischemic attack patients were included. PubMed, CINAHL, Web of Science, Cochrane Library, and PsycInfo databases were searched using the key terms stroke, ischemic stroke, medication persistence, medication adherence, and patient compliance. RESULTS Of four hundred twenty-eight journal articles retrieved, a final 18 articles were included. Short-term medication persistence was 46.2-96.7%, and long-term medication persistence was 41.7-93.0%. Identified hospital-related factors for medication persistence were stroke unit care, in-hospital medical complications, and early follow-up visit. Demographic factors for medication persistence were older age, and high/adequate financial status; disease-related factors were disease history, stroke subtype, and symptom severity. Age less than 75, female sex, comorbidity, antiplatelet medication switch, and polypharmacy were identified as factors of medication nonpersistence. CONCLUSIONS Stroke patients' medication persistence decreases over time, and persistence on antiplatelets, anticoagulants, and statin was poor. Several factors were associated with medication persistence, and these factors should be considered in future secondary preventative strategies.
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Affiliation(s)
- Dong Eun Jang
- School of Nursing, The University of Texas at Austin , Austin, TX, USA
| | - Julie Ann Zuñiga
- School of Nursing, The University of Texas at Austin , Austin, TX, USA
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10
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Two years' experience of implementing a comprehensive telemedical stroke network comprising in mainly rural region: the Transregional Network for Stroke Intervention with Telemedicine (TRANSIT-Stroke). BMC Neurol 2020; 20:104. [PMID: 32192438 PMCID: PMC7081707 DOI: 10.1186/s12883-020-01676-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Accepted: 03/05/2020] [Indexed: 11/10/2022] Open
Abstract
Background Telemedicine improves the quality of acute stroke care in rural regions with limited access to specialized stroke care. We report the first 2 years’ experience of implementing a comprehensive telemedical stroke network comprising all levels of stroke care in a defined region. Methods The TRANSIT-Stroke network covers a mainly rural region in north-western Bavaria (Germany). All hospitals providing acute stroke care in this region participate in TRANSIT-Stroke, including four hospitals with a supra-regional certified stroke unit (SU) care (level III), three of those providing teleconsultation to two hospitals with a regional certified SU (level II) and five hospitals without specialized SU care (level I). For a two-year-period (01/2015 to 12/2016), data of eight of these hospitals were available; 13 evidence-based quality indicators (QIs) related to processes during hospitalisation were evaluated quarterly and compared according to predefined target values between level-I- and level-II/III-hospitals. Results Overall, 7881 patients were included (mean age 74.6 years ±12.8; 48.4% female). In level-II/III-hospitals adherence of all QIs to predefined targets was high ab initio. In level-I-hospitals, three patterns of QI-development were observed: a) high adherence ab initio (31%), mainly in secondary stroke prevention; b) improvement over time (44%), predominantly related to stroke specific diagnosis and in-hospital organization; c) no clear time trends (25%). Overall, 10 out of 13 QIs reached predefined target values of quality of care at the end of the observation period. Conclusion The implementation of the comprehensive TRANSIT-Stroke network resulted in an improvement of quality of care in level-I-hospitals.
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Grimaud O, Lachkhem Y, Gao F, Padilla C, Bertin M, Nowak E, Timsit S. Stroke Incidence and Case Fatality According to Rural or Urban Residence. Stroke 2019; 50:2661-2667. [DOI: 10.1161/strokeaha.118.024695] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose—
Recent findings suggest that in the United States, stroke incidence is higher in rural than in urban areas. Similar analyses in other high-income countries are scarce with conflicting results. In 2008, the Brest Stroke Registry was started in western France, an area that includes about 366 000 individuals living in various urban and rural settings.
Methods—
All new patients with stroke included in the Brest Stroke Registry from 2008 to 2013 were classified as residing in town centers, suburbs, isolated towns, or rural areas. Poisson regression was used to analyze stroke incidence and 30-day case fatality variations in the 4 different residence categories. Models with case fatality as outcome were adjusted for age, stroke type, and stroke severity.
Results—
In total, 3854 incident stroke cases (n=2039 women, 53%) were identified during the study period. Demographic and socio-economic characteristics and primary healthcare access indicators were significantly different among the 4 residence categories. Patterns of risk factors, stroke type, and severity were comparable among residence categories in both sexes. Age-standardized stroke rates varied from 2.90 per thousand (95% CI, 2.59–3.21) in suburbs to 3.35 (95% CI, 2.98–3.73) in rural areas for men, and from 2.14 (95% CI, 2.00–2.28) in town centers to 2.34 (95% CI, 2.12–2.57) in suburbs for women. Regression models suggested that among men, stroke incidence was significantly lower in suburbs than in town centers (incidence rate ratio =0.87; 95% CI, 0.77–0.99). Case fatality risk was comparable across urban categories but lower in rural patients (relative risk versus town centers: 0.76; 95% CI, 0.60–0.96).
Conclusions—
Stroke incidence was comparable, and the 30-day case fatality only slightly varied in the 4 residence categories despite widely different socio-demographic features covered by the Brest Stroke Registry.
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Affiliation(s)
- Olivier Grimaud
- From the Univ Rennes, EHESP, REPERES (Recherche en pharmaco-épidémiologie et recours aux soins)—EA 7449, F-35000, France (O.G., F.G., C.P.)
| | - Yacine Lachkhem
- MOS (Management des Organisations de Santé) - EA 7348, F-35000 Rennes, France (Y.L.)
| | - Fei Gao
- From the Univ Rennes, EHESP, REPERES (Recherche en pharmaco-épidémiologie et recours aux soins)—EA 7449, F-35000, France (O.G., F.G., C.P.)
| | - Cindy Padilla
- From the Univ Rennes, EHESP, REPERES (Recherche en pharmaco-épidémiologie et recours aux soins)—EA 7449, F-35000, France (O.G., F.G., C.P.)
| | - Mélanie Bertin
- Univ Angers, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail)—UMR_S 1085, F- 49000 Angers, France (M.B.)
| | - Emmanuel Nowak
- Centre d’Investigation Clinique-INSERM CIC 1412, CHRU, Brest, France (E.N.)
| | - Serge Timsit
- Service de Neurologie et Unité Neuro-Vasculaire, CHRU, Brest, France (S.T.)
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Kapral MK, Austin PC, Jeyakumar G, Hall R, Chu A, Khan AM, Jin AY, Martin C, Manuel D, Silver FL, Swartz RH, Tu JV. Rural-Urban Differences in Stroke Risk Factors, Incidence, and Mortality in People With and Without Prior Stroke. Circ Cardiovasc Qual Outcomes 2019; 12:e004973. [DOI: 10.1161/circoutcomes.118.004973] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Moira K. Kapral
- Division of General Internal Medicine, Department of Medicine (M.K.K., J.V.T.), University of Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation (M.K.K., P.C.A., J.V.T.), University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada (M.K.K., P.C.A., R.H., A.C., A.M.K., D.M., J.V.T.)
| | - Peter C. Austin
- Institute of Health Policy, Management and Evaluation (M.K.K., P.C.A., J.V.T.), University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada (M.K.K., P.C.A., R.H., A.C., A.M.K., D.M., J.V.T.)
| | - Geerthana Jeyakumar
- Royal College of Surgeons in Ireland School of Medicine, Dublin, Ireland (G.J.)
| | - Ruth Hall
- ICES, Toronto, Ontario, Canada (M.K.K., P.C.A., R.H., A.C., A.M.K., D.M., J.V.T.)
| | - Anna Chu
- ICES, Toronto, Ontario, Canada (M.K.K., P.C.A., R.H., A.C., A.M.K., D.M., J.V.T.)
| | - Anam M. Khan
- ICES, Toronto, Ontario, Canada (M.K.K., P.C.A., R.H., A.C., A.M.K., D.M., J.V.T.)
| | - Albert Y. Jin
- Department of Medicine, Queen’s University, Kingston, Ontario, Canada (A.Y.J.)
| | - Cally Martin
- Kingston Health Sciences Centre, Kingston, Ontario, Canada (C.M.)
| | - Doug Manuel
- ICES, Toronto, Ontario, Canada (M.K.K., P.C.A., R.H., A.C., A.M.K., D.M., J.V.T.)
- Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (D.M.)
| | - Frank L. Silver
- Division of Neurology, Department of Medicine (F.L.S., R.H.S.), University of Toronto, Toronto, Ontario, Canada
| | - Richard H. Swartz
- Division of Neurology, Department of Medicine (F.L.S., R.H.S.), University of Toronto, Toronto, Ontario, Canada
| | - Jack V. Tu
- Division of General Internal Medicine, Department of Medicine (M.K.K., J.V.T.), University of Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation (M.K.K., P.C.A., J.V.T.), University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada (M.K.K., P.C.A., R.H., A.C., A.M.K., D.M., J.V.T.)
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13
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Howard G, Kleindorfer DO, Cushman M, Long DL, Jasne A, Judd SE, Higginbotham JC, Howard VJ. Contributors to the Excess Stroke Mortality in Rural Areas in the United States. Stroke 2017; 48:1773-1778. [PMID: 28626048 PMCID: PMC5502731 DOI: 10.1161/strokeaha.117.017089] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Revised: 04/11/2017] [Accepted: 04/27/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Stroke mortality is 30% higher in the rural United States. This could be because of either higher incidence or higher case fatality from stroke in rural areas. METHODS The urban-rural status of 23 280 stroke-free participants recruited between 2003 and 2007 in the REGARDS study (Reasons for Geographic and Racial Differences in Stroke) was classified using the Rural-Urban Commuting Area scheme as residing in urban, large rural town/city, or small rural town or isolated areas. The risk of incident stroke was assessed using proportional hazards analysis, and case fatality (death within 30 days of stroke) was assessed using logistic regression. Models were adjusted for demographics, traditional stroke risk factors, and measures of socioeconomic status. RESULTS After adjustment for demographic factors and relative to urban areas, stroke incidence was 1.23-times higher (95% confidence intervals, 1.01-1.51) in large rural town/cities and 1.30-times higher (95% confidence intervals, 1.03-1.62) in small rural towns or isolated areas. Adjustment for risk factors and socioeconomic status only modestly attenuated this association, and the association became marginally nonsignificant (P=0.071). There was no association of rural-urban status with case fatality (P>0.47). CONCLUSIONS The higher stroke mortality in rural regions seemed to be attributable to higher stroke incidence rather than case fatality. A higher prevalence of risk factors and lower socioeconomic status only modestly contributed to the increased risk of incident stroke risk in rural areas. There was no evidence of higher case fatality in rural areas.
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Affiliation(s)
- George Howard
- From the Department of Biostatistics (G.H., D.L.L., S.E.J.) and Department of Epidemiology (V.J.H.), School of Public Health, University of Alabama at Birmingham; Department of Neurology, University of Cincinnati, OH (D.O.K., A.J.); Department of Medicine, University of Vermont, Burlington (M.C.); and College of Community Health Sciences, University of Alabama, Tuscaloosa (J.C.H.).
| | - Dawn O Kleindorfer
- From the Department of Biostatistics (G.H., D.L.L., S.E.J.) and Department of Epidemiology (V.J.H.), School of Public Health, University of Alabama at Birmingham; Department of Neurology, University of Cincinnati, OH (D.O.K., A.J.); Department of Medicine, University of Vermont, Burlington (M.C.); and College of Community Health Sciences, University of Alabama, Tuscaloosa (J.C.H.)
| | - Mary Cushman
- From the Department of Biostatistics (G.H., D.L.L., S.E.J.) and Department of Epidemiology (V.J.H.), School of Public Health, University of Alabama at Birmingham; Department of Neurology, University of Cincinnati, OH (D.O.K., A.J.); Department of Medicine, University of Vermont, Burlington (M.C.); and College of Community Health Sciences, University of Alabama, Tuscaloosa (J.C.H.)
| | - D Leann Long
- From the Department of Biostatistics (G.H., D.L.L., S.E.J.) and Department of Epidemiology (V.J.H.), School of Public Health, University of Alabama at Birmingham; Department of Neurology, University of Cincinnati, OH (D.O.K., A.J.); Department of Medicine, University of Vermont, Burlington (M.C.); and College of Community Health Sciences, University of Alabama, Tuscaloosa (J.C.H.)
| | - Adam Jasne
- From the Department of Biostatistics (G.H., D.L.L., S.E.J.) and Department of Epidemiology (V.J.H.), School of Public Health, University of Alabama at Birmingham; Department of Neurology, University of Cincinnati, OH (D.O.K., A.J.); Department of Medicine, University of Vermont, Burlington (M.C.); and College of Community Health Sciences, University of Alabama, Tuscaloosa (J.C.H.)
| | - Suzanne E Judd
- From the Department of Biostatistics (G.H., D.L.L., S.E.J.) and Department of Epidemiology (V.J.H.), School of Public Health, University of Alabama at Birmingham; Department of Neurology, University of Cincinnati, OH (D.O.K., A.J.); Department of Medicine, University of Vermont, Burlington (M.C.); and College of Community Health Sciences, University of Alabama, Tuscaloosa (J.C.H.)
| | - John C Higginbotham
- From the Department of Biostatistics (G.H., D.L.L., S.E.J.) and Department of Epidemiology (V.J.H.), School of Public Health, University of Alabama at Birmingham; Department of Neurology, University of Cincinnati, OH (D.O.K., A.J.); Department of Medicine, University of Vermont, Burlington (M.C.); and College of Community Health Sciences, University of Alabama, Tuscaloosa (J.C.H.)
| | - Virginia J Howard
- From the Department of Biostatistics (G.H., D.L.L., S.E.J.) and Department of Epidemiology (V.J.H.), School of Public Health, University of Alabama at Birmingham; Department of Neurology, University of Cincinnati, OH (D.O.K., A.J.); Department of Medicine, University of Vermont, Burlington (M.C.); and College of Community Health Sciences, University of Alabama, Tuscaloosa (J.C.H.)
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Al AlShaikh S, Quinn T, Dunn W, Walters M, Dawson J. Predictive factors of non-adherence to secondary preventative medication after stroke or transient ischaemic attack: A systematic review and meta-analyses. Eur Stroke J 2016; 1:65-75. [PMID: 29900404 PMCID: PMC5992740 DOI: 10.1177/2396987316647187] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2016] [Accepted: 04/06/2016] [Indexed: 11/30/2022] Open
Abstract
Purpose Non-adherence to secondary preventative medications after stroke is
relatively common and associated with poorer outcomes. Non-adherence can be
due to a number of patient, disease, medication or institutional factors.
The aim of this review was to identify factors associated with non-adherence
after stroke. Method We performed a systematic review and meta-analysis of studies reporting
factors associated with medication adherence after stroke. We searched
MEDLINE, EMBASE, CINAHL, PsycINFO, CENTRAL and Web of Knowledge. We followed
PRISMA guidance. We assessed risk of bias of included studies using a
pre-specified tool based on Cochrane guidance and the Newcastle–Ottawa
scales. Where data allowed, we evaluated summary prevalence of non-adherence
and association of factors commonly reported with medication adherence in
included studies using random-effects model meta-analysis. Findings From 12,237 titles, we included 29 studies in our review. These included
69,137 patients. The majority of included studies (27/29) were considered to
be at high risk of bias mainly due to performance bias. Non-adherence rate
to secondary preventative medication reported by included studies was 30.9%
(95% CI 26.8%–35.3%). Although many factors were reported as related to
adherence in individual studies, on meta-analysis, absent history of atrial
fibrillation (OR 1.02, 95% CI 0.72–1.5), disability (OR 1.27, 95% CI
0.93–1.72), polypharmacy (OR 1.29, 95% CI 0.9–1.9) and age (OR 1.04, 95% CI
0.96–1.14) were not associated with adherence. Discussion This review identified many factors related to adherence to preventative
medications after stroke of which many are modifiable. Commonly reported
factors included concerns about treatment, lack of support with medication
intake, polypharmacy, increased disability and having more severe
stroke. Conclusion Understanding factors associated with medication taking could inform
strategies to improve adherence. Further research should assess whether
interventions to promote adherence also improve outcomes.
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Affiliation(s)
- Sukainah Al AlShaikh
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Terry Quinn
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - William Dunn
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Matthew Walters
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Jesse Dawson
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
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15
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The association between rural residence and stroke care and outcomes. J Neurol Sci 2016; 363:16-20. [DOI: 10.1016/j.jns.2016.02.019] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Revised: 02/04/2016] [Accepted: 02/08/2016] [Indexed: 11/18/2022]
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16
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Community Stroke Rehabilitation: How Do Rural Residents Fare Compared With Their Urban Counterparts? Can J Neurol Sci 2015; 43:98-104. [PMID: 26635135 DOI: 10.1017/cjn.2015.324] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Rural living has been demonstrated to have an effect on a person's overall health status, and rural residing individuals often have decreased access to health and specialized rehabilitation services. AIM The aim of this study was to determine if there are differences in recovery from stroke between urban and rural-dwelling stroke survivors accessing an in-home, community-based, interdisciplinary, stroke rehabilitation program. METHODS Data from a cohort of 1222 stroke survivors receiving care from the Community Stroke Rehabilitation Teams between January 2009 and June 2013 was analyzed. This program delivers stroke rehabilitation care directly in a person's home and community. Functional and psychosocial outcomes were evaluated at baseline, discharge, and six -month follow-up. A series of multiple linear regression analyses was performed to determine if rural versus urban status was a significant predictor of discharge and 6-month health outcomes. RESULTS The mean age of the rural cohort was 68.8 (±13.1) years (53.6% male), and the urban cohort was 68.4 (±13.0) years (44.8% male). A total of 278 (35.4%) individuals were classified as living in a rural area using the Rurality Index for Ontario. In multivariate linear regression analysis, no significant differences on the Functional Independence Measure, the Stroke Impact Scale, the Hospital Anxiety and Depression Scale, or the Reintegration to Normal Living Index were found between urban and rural cohorts. CONCLUSIONS When provided with access to a home-based, specialized stroke rehabilitation program, rural dwelling stroke survivors make and maintain functional gains comparable to their urban-living counterparts.
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17
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Sanfélix-Gimeno G, RodrÃguez-Bernal CL, Hurtado I, Baixáuli-Pérez C, Librero J, Peiró S. Adherence to oral anticoagulants in patients with atrial fibrillation-a population-based retrospective cohort study linking health information systems in the Valencia region, Spain: a study protocol. BMJ Open 2015; 5:e007613. [PMID: 26482766 PMCID: PMC4611755 DOI: 10.1136/bmjopen-2015-007613] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
INTRODUCTION Adherence to oral anticoagulation (OAC) treatment, vitamin K antagonists or new oral anticoagulants, is an essential element for effectiveness. Information on adherence to OAC in atrial fibrillation (AF) and the impact of adherence on clinical outcomes using real-world data barely exists. We aim to describe the patterns of adherence to OAC over time in patients with AF, estimate the associated factors and their impact on clinical events, and assess the same issues with conventional measures of primary and secondary adherence-proportion of days covered (PDC) and persistence-in routine clinical practice. METHODS AND ANALYSIS This is a population-based retrospective cohort study including all patients with AF treated with OAC from 2010 to date in Valencia, Spain; data will be obtained from diverse electronic records of the Valencia Health Agency. PRIMARY OUTCOME MEASURE adherence trajectories. SECONDARY OUTCOMES (1) primary non-adherence; (2) secondary adherence: (a) PDC, (b) persistence. Clinical outcomes: hospitalisation for haemorrhagic or thromboembolic events and death during follow-up. ANALYSIS (1) description of baseline characteristics, adherence patterns (trajectory models or latent class growth analysis models) and conventional adherence measures; (2) logistic or Cox multivariate regression models, to assess the associations between adherence measures and the covariates, and logistic multinomial regression models, to identify characteristics associated with each trajectory; (3) Cox proportional hazard models, to assess the relationship between adherence and clinical outcomes, with propensity score adjustment applied to further control for potential confounders; (4) to estimate the importance of different healthcare levels in the variations of adherence, logistic or Cox multilevel regression models. ETHICS AND DISSEMINATION This study has been approved by the corresponding Clinical Research Ethics Committee. We plan to disseminate the project's findings through peer-reviewed publications and presentations at relevant health conferences. Policy reports will also be prepared in order to promote the translation of our findings into policy and clinical practice.
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Affiliation(s)
- G Sanfélix-Gimeno
- Health Services Research Unit, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Valencia, Spain
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Valencia, Spain
| | - C L RodrÃguez-Bernal
- Health Services Research Unit, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Valencia, Spain
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Valencia, Spain
| | - I Hurtado
- Health Services Research Unit, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Valencia, Spain
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Valencia, Spain
| | - C Baixáuli-Pérez
- Health Services Research Unit, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Valencia, Spain
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Valencia, Spain
| | - J Librero
- Health Services Research Unit, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Valencia, Spain
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Valencia, Spain
| | - S Peiró
- Health Services Research Unit, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Valencia, Spain
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Valencia, Spain
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Avgil Tsadok M, Jackevicius CA, Essebag V, Eisenberg MJ, Rahme E, Pilote L. Warfarin Treatment and Outcomes of Patients With Atrial Fibrillation in Rural and Urban Settings. J Rural Health 2015; 31:310-5. [DOI: 10.1111/jrh.12110] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Meytal Avgil Tsadok
- Division of Clinical Epidemiology; McGill University Health Centre; Montreal Quebec Canada
| | - Cynthia A. Jackevicius
- Department of Pharmacy Practice and Administration, College of Pharmacy; Western University of Health Sciences; Pomona California
- Institute for Clinical Evaluative Sciences; Toronto Canada
- Department of Health Policy, Management and Evaluation, Faculty of Medicine; University of Toronto; Toronto Canada
- University Health Network; Toronto Canada
| | - Vidal Essebag
- Division of Cardiology; McGill University Health Centre; Montreal Quebec Canada
| | - Mark J. Eisenberg
- Division of Cardiology, Jewish General Hospital; McGill University Health Centre; Montreal Quebec Canada
| | - Elham Rahme
- Division of Clinical Epidemiology; McGill University Health Centre; Montreal Quebec Canada
| | - Louise Pilote
- Division of Clinical Epidemiology; McGill University Health Centre; Montreal Quebec Canada
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Amarenco P, Abboud H, Labreuche J, Arauz A, Bryer A, Lavados PM, Massaro A, Munoz Collazos M, Steg PG, Yamout BI, Vicaut E. Impact of living and socioeconomic characteristics on cardiovascular risk in ischemic stroke patients. Int J Stroke 2014; 9:1065-72. [PMID: 24923430 DOI: 10.1111/ijs.12290] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2013] [Accepted: 03/16/2014] [Indexed: 11/28/2022]
Abstract
OBJECTIVE We aimed to stratify the risk of vascular event recurrence in patients with cerebral infarction according to living and socioeconomic characteristics and geographic region. METHOD The Outcomes in Patients with TIA and Cerebrovascular Disease (OPTIC) study is an international prospective study of patients aged 45 years or older who required secondary prevention of stroke [following either an acute transient ischemic attack, minor ischemic strokes, or recent (less than six-months previous), stable, first-ever, nondisabling ischemic stroke]. A total 3635 patients from 245 centers in 17 countries in four regions (Latin America, Middle East, North Africa, South Africa) were enrolled between 2007 and 2008. The outcome measure was the two-year rate of a composite of major vascular events (vascular death, myocardial infarction and stroke). RESULTS During the two-year follow-up period, 516 patients experienced at least one major cardiovascular event, resulting in an event rate of 15·6% (95% confidence interval 14·4-16·9%). Event rates varied across geographical region (P < 0·001), ranging from 13·0% in Latin America to 20·7% in North Africa. Unemployment status, living in a rural area, not living in fully serviced accommodation (i.e., house or apartment with its own electricity, toilet and water supply), no health insurance coverage, and low educational level (less than two-years of schooling) were predictors of major vascular events. Major vascular event rates steeply increased with the number of low-quality living/socioeconomic conditions (from 13·4% to 47·9%, adjusted P value for trend <0·001). CONCLUSION Vascular risk in stroke patients in low- and middle-income countries varies not only with the number of arterial beds involved but also with socioeconomic variables.
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Affiliation(s)
- Pierre Amarenco
- Department of Neurology and Stroke Center, Bichat University Hospital, Paris, France; INSERM U-698 and Paris-Diderot University, Paris, France
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Doggrell SA, Kairuz T. Comparative studies of how living circumstances influence medication adherence in ≥65 year olds. Int J Clin Pharm 2013; 36:30-5. [PMID: 24317743 DOI: 10.1007/s11096-013-9894-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2013] [Accepted: 11/22/2013] [Indexed: 11/25/2022]
Abstract
BACKGROUND Resources to help the older aged (≥65 year olds) manage their medicines should probably target those in greatest need. The older-aged have many different types of living circumstances. There are different locations (urban, rural), different types of housing (in the community or in retirement villages), different living arrangements (living alone or with others), and different socioeconomic status (SES) circumstances. However, there has been limited attention to whether these living circumstances affect adherence to medicines in the ≥65 year olds. AIM OF THE REVIEW The aim was to determine whether comparative studies, including logistic regression studies, show that living circumstances affect adherence to medicines by the ≥65 year olds. METHODS A literature search of Medline, CINAHL and the Internet (Google) was undertaken. RESULTS Four comparative studies have not shown differences in adherence to medicines between the ≥65 year olds living in rural and urban locations, but one study shows lower adherence to medicines for osteoporosis in rural areas compared to metropolitan, and another study shows greater adherence to antihypertensive medicines in rural than urban areas. There are no comparative studies of adherence to medicines in the older-aged living in indigenous communities compared to other communities. There is conflicting evidence as to whether living alone, being unmarried, or having a low income/worth is associated with nonadherence. Preliminary studies have suggested that the older-aged living in rental, low SES retirement villages or leasehold, middle SES retirement villages have a lower adherence to medicines than those living in freehold, high SES retirement villages. CONCLUSIONS The ≥65 year olds living in rural communities may need extra help with adherence to medicines for osteoporosis. The ≥65 year olds living in rental or leasehold retirement villages may require extra assistance/resources to adhere to their medicines. Further research is needed to clarify whether living under certain living circumstances (e.g. living alone, being unmarried, low income) has an effect on adherence, and to determine whether the ≥65 year olds living in indigenous communities need assistance to be adherent to prescribed medicines.
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Affiliation(s)
- Sheila A Doggrell
- Faculty of Health, Gardens Point, School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD, 4001, Australia,
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Lichtman JH, Leifheit-Limson EC, Jones SB, Wang Y, Goldstein LB. 30-Day risk-standardized mortality and readmission rates after ischemic stroke in critical access hospitals. Stroke 2012; 43:2741-7. [PMID: 22935397 DOI: 10.1161/strokeaha.112.665646] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND AND PURPOSE The critical access hospital (CAH) designation was established to provide rural residents with local access to emergency and inpatient care. CAHs, however, have poorer short-term outcomes for pneumonia, heart failure, and myocardial infarction compared with other hospitals. We assessed whether 30-day risk-standardized mortality rates (RSMRs) and risk-standardized readmission rates (RSRRs) after ischemic stroke differ between CAHs and non-CAHs. METHODS The study included all fee-for-service Medicare beneficiaries 65 years of age or older with a primary discharge diagnosis of ischemic stroke (International Classification of Diseases, 9th revision codes 433, 434, 436) in 2006. Hierarchical generalized linear models calculated hospital-level RSMRs and RSRRs, adjusting for patient demographics, medical history, and comorbid conditions. Non-CAHs were categorized by hospital volume quartiles and the RSMR and RSRR posterior probabilities in comparison with CAHs were determined using linear regression with Markov chain Monte Carlo simulation. RESULTS There were 10 267 ischemic stroke discharges from 1165 CAHs and 300 114 discharges from 3381 non-CAHs. The RSMRs of CAHs were higher than non-CAHs (11.9%± 1.4% vs 10.9%± 1.7%; P<0.001), but the RSRRs were comparable (13.7%± 0.6% vs 13.7%± 1.4%; P=0.3). The RSMRs for the 2 higher volume quartiles of non-CAHs were lower than CAHs (posterior probability of RSMRs higher than CAHs=0.007 for quartile 3; P<0.001 for quartile 4), but there were no differences for lower volume hospitals; RSRRs did not vary by annual hospital volume. CONCLUSIONS CAHs had higher RSMRs compared with non-CAHs, but readmission rates were similar. The observed differences may be partly explained by patient characteristics and annual hospital volume.
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Affiliation(s)
- Judith H Lichtman
- Section of Chronic Disease Epidemiology, Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT 06520-8034, USA.
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