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Lee KS, Siow I, Riandini T, Narasimhalu K, Tan KB, De Silva DA. Associated demographic factors for the recurrence and prognosis of stroke patients within a multiethnic Asian population. Int J Stroke 2024:17474930241257759. [PMID: 38751129 DOI: 10.1177/17474930241257759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
OBJECTIVE There is a paucity of studies investigating the outcomes among Asian stroke patients. Identifying subgroups of stroke patients at risk of poorer outcomes could identify patients who would benefit from targeted interventions. Therefore, the aim of this study was to identify which ischemic stroke patients at high risk of recurrent events and mortality. METHODS This cohort study adhered to STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) guidelines. We obtained data from the Singapore Stroke Registry (SSR) from 2005 to 2016 and cross referenced to the Death Registry and the Myocardial Infarction Registry. Outcome measures included recurrent stroke, acute myocardial infarction (AMI), and all-cause and stroke-related deaths. Multivariable Cox proportional hazards regression models were performed to determine risk factors for recurrent stroke, AMI, and all-cause and stroke-related deaths. RESULTS A total of 64,915 patients (6705 young, and 58,210 older) were included in our analysis. Older stroke patients were found to have an increased risk of recurrent stroke (hazard ratio (HR) = 1.21, 95% confidence interval (CI) = 1.12-1.30), AMI (HR = 1.73, 95% CI = 1.54-1.95), all-cause death (HR = 2.49, 95% CI = 2.34-2.64), and stroke-related death (HR = 176, 95% CI = 1.61-1.92). Among young stroke patients, males were at increased risk for recurrent stroke (HR = 1.18, 95% CI = 1.01-1.39) and AMI (HR = 1.41, 95% CI = 1.08-1.83), but at reduced risk for all-cause (HR = 0.78, 95% CI = 0.69-0.89) and stroke-related deaths (HR = 0.79, 95% CI = 0.67-0.94). Ethnicity appeared to influence outcomes, with Malay patients at increased risk of recurrent stroke (HR = 1.37, 95% CI = 1.14-1.65), AMI (HR = 2.45, 95% CI = 1.87-3.22), and all-cause (HR = 1.43, 95% CI = 1.24-1.66) and stroke-related deaths (HR = 1.34, 95% CI = 1.09-1.64). Indian patients were also at increased risk of AMI (HR = 1.96, 95% CI = 1.41-2.72). Similar findings were seen among the older stroke patients. CONCLUSION This study found that older stroke patients are at risk of poorer outcomes. Within the young stroke population specifically, males were predisposed to recurrent stroke and AMI but were protected against all-cause and stroke-related deaths. Males were also at reduced risk of all-cause and stroke-related deaths in the older stroke population. In addition, Malay and Indian patients experience poorer outcomes after first stroke. Further optimization of risk factors targeting these high-priority populations are needed to achieve high-quality care.
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Affiliation(s)
- Keng Siang Lee
- Department of Neurosurgery, King's College Hospital, London, UK
- Department of Basic and Clinical Neurosciences, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK
| | | | - Tessa Riandini
- Health Analytics Division, Ministry of Health Singapore, Singapore
| | - Kaavya Narasimhalu
- Department of Neurology, National Neuroscience Institute, Singapore General Hospital, Singapore
| | - Kelvin Bryan Tan
- Chief Health Economist's Office, Ministry of Health Singapore, Singapore
| | - Deidre Anne De Silva
- Department of Neurology, National Neuroscience Institute, Singapore General Hospital, Singapore
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Jacobs M, Evans E, Ellis C. Exploring the association between social determinants and aphasia impairment: A retrospective data integration approach. PLoS One 2024; 19:e0299979. [PMID: 38512886 PMCID: PMC10956803 DOI: 10.1371/journal.pone.0299979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 02/19/2024] [Indexed: 03/23/2024] Open
Abstract
INTRODUCTION Traditionally, the study of aphasia focused on brain trauma, clinical biomarkers, and cognitive processes, rarely considering the social determinants of health. This study evaluates the relationship between aphasia impairment and demographic, socioeconomic, and contextual determinants among people with aphasia (PWA). METHODS PWA indexed within AphasiaBank-a database populated by multiple clinical aphasiology centers with standardized protocols characterizing language, neuropsychological functioning, and demographic information-were matched with respondents in the Medical Expenditure Panel Survey based on response year, age, sex, race, ethnicity, time post stroke, and mental health status. Generalized log-linear regression models with bootstrapped standard errors evaluated the association between scores on the Western Aphasia Battery-Revised Aphasia Quotient (WAB-R AQ) and demographic, economic, and contextual characteristics accounting for clustering of respondents and the stratification of data collection. Region, age, and income specific models tested the sensitivity of results. RESULTS PWA over age 60 had 2.4% (SE = 0.020) lower WAB-R AQ scores compared with younger PWA. Compared to White PWA, Black and Hispanic PWA had 4.7% (SE = 0.03) and 0.81% (SE = 0.06) lower WAB-R AQ scores, respectively, as did those and living in the Southern US (-2.2%, SE = 0.03) even after controlling for age, family size, and aphasia type. Those living in larger families (β = 0.005, SE = 0.008), with income over $30,000 (β = 0.017, SE = 0.022), and a college degree (β = 0.030, SE = 0.035) had higher WAB-R AQ relative to their counterparts. Region-specific models showed that racial differences were only significant in the South and Midwest, while ethnic differences are only significant in the West. Sex differences only appeared in age-specific models. Racial and ethnic differences were not significant in the high-income group regression. CONCLUSION These findings support evidence that circumstances in which individuals live, work, and age are significantly associated with their health outcomes including aphasia impairment.
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Affiliation(s)
- Molly Jacobs
- Department of Health Services Research, Management and Policy, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States of America
| | - Elizabeth Evans
- Department of Speech, Language and Hearing Sciences, Communication Equity and Outcomes Laboratory, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States of America
| | - Charles Ellis
- Department of Speech, Language and Hearing Sciences, Communication Equity and Outcomes Laboratory, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States of America
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3
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Hu M, Li B, Yang T, Yang Y, Yin C. Effect of Household Income on Cardiovascular Diseases, Cardiovascular Biomarkers, and Socioeconomic Factors. Clin Ther 2024; 46:239-245. [PMID: 38350757 DOI: 10.1016/j.clinthera.2024.01.005] [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: 06/09/2023] [Revised: 09/07/2023] [Accepted: 01/08/2024] [Indexed: 02/15/2024]
Abstract
PURPOSE To examine whether household income is causally related to cardiovascular diseases and investigate the potential reasons. METHODS Using 2-sample Mendelian randomization analyses, we obtained summary statistics from genome-wide association studies of household income and a range of cardiovascular diseases, biomarkers, and socioeconomic factors. FINDINGS Higher household income was causally associated with lower risks of coronary heart disease (odd ratio [OR] = 0.63; 95% CI: 0.49-0.79; P = 0.0001), myocardial infarction (OR = 0.64; 95% CI: 0.50-0.82; P = 0.0003), and hypertension (OR = 0.71; 95% CI: 0.58-0.88; P = 0.0015). With increasing household income, the cardiovascular biomarkers including triglycerides, C-reactive protein, body mass index, fasting glucose were decreased whereas telomere length and high-density lipoprotein cholesterol were increased. Besides, individuals with higher household income were less likely to smoke (β = -0.34; 95% CI: -0.47 to -0.21; P = 1.91×10-07), intake salt (β = -0.14; 95% CI: -0.21 to -0.07; P = 0.0001), or be exposed to air pollution (β = -0.10; 95% CI: -0.15 to -0.06; P = 8.81×10-06) or depression state (β = -0.03; 95% CI: -0.04 to -0.02; P = 5.16×10-07). They were more likely to take physical activity (β = 0.06; 95% CI: 0.02 to 010; P = 0.0016) and have long years of schooling (β = 0.70; 95% CI: 0.62 to 0.78; P = 5.32×10-67). IMPLICATIONS Higher household income is causally associated with better socioeconomic factors and improved cardiovascular biomarkers, which translates into a reduced prevalence of cardiovascular diseases. Policies to improve income equality may result in a reduced burden of cardiovascular diseases.
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Affiliation(s)
- Mengjin Hu
- Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Boyu Li
- Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Tao Yang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yuejin Yang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Chunlin Yin
- Xuanwu Hospital, Capital Medical University, Beijing, China.
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Wang JJ, Katz JM, Sanmartin M, Naidich JJ, Rula E, Sanelli PC. Gender-Based Disparity in Acute Stroke Imaging Utilization and the Impact on Treatment and Outcomes: 2012 to 2021. J Am Coll Radiol 2024; 21:128-140. [PMID: 37586470 PMCID: PMC10840948 DOI: 10.1016/j.jacr.2023.07.015] [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: 04/26/2023] [Revised: 07/11/2023] [Accepted: 07/12/2023] [Indexed: 08/18/2023]
Abstract
INTRODUCTION Prior studies have revealed significant socio-economic disparities in neuro-imaging and treatment utilization for patients with acute ischemic stroke (AIS). In this study, we sought to evaluate whether a sex-based disparity exists in neuro-imaging and to determine its etiology and association with acute treatment and outcomes. MATERIALS AND METHODS This was a retrospective study of consecutive patients with AIS admitted to a comprehensive stroke center between 2012 and 2021. Patient demographic and clinical characteristics, neuro-imaging, acute treatment, and early clinical outcomes were extracted from the electronic medical records. Trend analysis, bivariate analysis of patient characteristics by sex, and multivariable logistic regression analyses were conducted. RESULTS Of the 7,540 AIS episodes registered from 2012 to 2021, 47.9% were female patients. After adjusting for demographic, clinical, and temporal factors, significantly higher utilization of CTA was found for male patients (odds ratio = 1.20 [95% confidence interval 1.07-1.34]), particularly from socio-economically advantaged groups, and in years 2015 and 2019, representing the years endovascular thrombectomy recommendations changed. Despite this, male patients had significantly lower intravenous thrombolysis utilization (odds ratio = 0.83 [95% confidence interval 0.71-0.96]) and similar endovascular thrombectomy rates as female patients. There were no significant sex differences in early clinical outcomes, and no relevant clinical or demographic factors explained the CT angiography utilization disparity. CONCLUSION Despite higher CT angiography utilization in socio-economically advantaged male patients with AIS, likely overutilization due to implicit biases following guideline updates, the rates of acute treatment, and early clinical outcomes were unaffected.
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Affiliation(s)
- Jason J Wang
- Imaging Clinical Effectiveness and Outcomes Research, Center for Health Innovations and Outcomes Research, The Feinstein Institutes for Medical Research, Manhasset, New York; and Professor and Health Economist, Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York.
| | - Jeffrey M Katz
- Associate Professor of Neurology & Radiology, Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York; Chief, Neurovascular Services and Neurology Service Line Director, Neuroendovascular Surgery; Director, Comprehensive Stroke Center and Stroke Unit, North Shore University Hospital; Director, Neuroendovascular Surgery, South Shore University Hospital
| | - Maria Sanmartin
- Imaging Clinical Effectiveness and Outcomes Research, Center for Health Innovations and Outcomes Research, The Feinstein Institutes for Medical Research, Manhasset, New York; and Assistant Professor and Health Economist, Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York
| | - Jason J Naidich
- Chair, Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York; and Senior Vice President and Chief Innovation Officer, Northwell Health, Hempstead, New York
| | - Elizabeth Rula
- Executive Director, The Harvey L. Neiman Health Policy Institute, Reston, Virginia
| | - Pina C Sanelli
- Imaging Clinical Effectiveness and Outcomes Research, Center for Health Innovations and Outcomes Research, The Feinstein Institutes for Medical Research, Manhasset, New York, and Vice Chair of Research, Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York
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Vyas MV, Fang J, de Oliveira C, Austin PC, Yu AYX, Kapral MK. Attributable Costs of Stroke in Ontario, Canada and Their Variation by Stroke Type and Social Determinants of Health. Stroke 2023; 54:2824-2831. [PMID: 37823307 DOI: 10.1161/strokeaha.123.043369] [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: 03/26/2023] [Accepted: 07/14/2023] [Indexed: 10/13/2023]
Abstract
BACKGROUND Estimates of attributable costs of stroke are scarce, as most prior studies do not account for the baseline health care costs in people at risk of stroke. We estimated the attributable costs of stroke in a universal health care setting and their variation across stroke types and several social determinants of health. METHODS We undertook a population-based administrative database-derived matched retrospective cohort study in Ontario, Canada. Community-dwelling adults aged ≥40 years with a stroke between 2003 and 2018 were matched (1:1) on demographics and comorbidities with controls without stroke. Using a difference-in-differences approach, we estimated the mean 1-year direct health care costs attributable to stroke from a public health care payer perspective, accounting for censoring with a weighted available sample estimator. We described health sector-specific costs and reported variation across stroke type and social determinants of health. RESULTS The mean 1-year attributable costs of stroke were Canadian dollars 33 522 (95% CI, $33 231-$33 813), with higher costs for intracerebral hemorrhage ($40 244; $39 193-$41 294) than ischemic stroke ($32 547; $32 252-$32 843). Most of these costs were incurred in acute care hospitals ($15 693) and rehabilitation facilities ($7215). Compared with all patients with stroke, the mean attributable costs were higher among immigrants ($40 554; $39 316-$41 793), those aged <65 years ($35 175; $34 533-$35 818), and those residing in low-income neighborhoods ($34 687; $34 054-$35 320) and lower among rural residents ($29 047; $28 362-$29 731). CONCLUSIONS Our findings of high attributable costs of stroke, especially in immigrants, younger patients, and residents of low-income neighborhoods, can be used to evaluate potential health care cost savings associated with different primary stroke prevention strategies.
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Affiliation(s)
- Manav V Vyas
- Division of Neurology, Department of Medicine (M.V.V., A.Y.X.Y.), University of Toronto, Canada
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health (M.V.V., C.d.O., P.C.A., A.Y.X.Y., M.K.K.), University of Toronto, Canada
- Division of Neurology, Li Ka Shing Knowledge Institute, St. Michael's Hospital-Unity Health Toronto, Canada (M.V.V.)
- ICES, Toronto, Canada (M.V.V., J.F., C.d.O., P.C.A., A.Y.X.Y., M.K.K.)
| | - Jiming Fang
- ICES, Toronto, Canada (M.V.V., J.F., C.d.O., P.C.A., A.Y.X.Y., M.K.K.)
| | - Claire de Oliveira
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health (M.V.V., C.d.O., P.C.A., A.Y.X.Y., M.K.K.), University of Toronto, Canada
- Health Economics, Centre for Addictions and Mental Health, Toronto, Canada (C.d.O.)
- ICES, Toronto, Canada (M.V.V., J.F., C.d.O., P.C.A., A.Y.X.Y., M.K.K.)
| | - Peter C Austin
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health (M.V.V., C.d.O., P.C.A., A.Y.X.Y., M.K.K.), University of Toronto, Canada
- ICES, Toronto, Canada (M.V.V., J.F., C.d.O., P.C.A., A.Y.X.Y., M.K.K.)
| | - Amy Y X Yu
- Division of Neurology, Department of Medicine (M.V.V., A.Y.X.Y.), University of Toronto, Canada
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health (M.V.V., C.d.O., P.C.A., A.Y.X.Y., M.K.K.), University of Toronto, Canada
- ICES, Toronto, Canada (M.V.V., J.F., C.d.O., P.C.A., A.Y.X.Y., M.K.K.)
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Canada (A.Y.X.Y.)
| | - Moira K Kapral
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health (M.V.V., C.d.O., P.C.A., A.Y.X.Y., M.K.K.), University of Toronto, Canada
- Division of General Internal Medicine, Department of Medicine (M.K.K.), University of Toronto, Canada
- ICES, Toronto, Canada (M.V.V., J.F., C.d.O., P.C.A., A.Y.X.Y., M.K.K.)
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6
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Shams RB, Chari SV, Cui ER, Fernandez AR, Brice JH, Winslow JE, Jauch EC, Patel MD. Community Socioeconomic and Urban-Rural Disparities in Prehospital Notification of Stroke by Emergency Medical Services in North Carolina. South Med J 2023; 116:765-771. [PMID: 37657786 PMCID: PMC10491424 DOI: 10.14423/smj.0000000000001601] [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] [Indexed: 09/03/2023]
Abstract
OBJECTIVES Notification by emergency medical services (EMS) to the destination hospital of an incoming suspected stroke patient is associated with timelier in-hospital evaluation and treatment. Current data on adherence to this evidence-based best practice are limited, however. We examined the frequency of EMS stroke prenotification in North Carolina by community socioeconomic status (SES) and rurality. METHODS Using a statewide database of EMS patient care reports, we selected 9-1-1 responses in 2019 with an EMS provider impression of stroke or documented stroke care protocol use. Eligible patients were 18 years old and older with a completed prehospital stroke screen. Incident street addresses were geocoded to North Carolina census tracts and linked to American Community Survey socioeconomic data and urban-rural commuting area codes. High, medium, and low SES tracts were defined by SES index tertiles. Tracts were classified as urban, suburban, and rural. We used multivariable logistic regression to estimate independent associations between tract-level SES and rurality with EMS prenotification, adjusting for patient age, sex, and race/ethnicity; duration of symptoms; incident day of week and time of day; 9-1-1 dispatch complaint; EMS provider primary impression; and prehospital stroke screen interpretation. RESULTS The cohort of 9527 eligible incidents was mostly at least 65 years old (65%), female (55%), and non-Hispanic White (71%). EMS prenotification occurred in 2783 (29%) patients. Prenotification in low SES tracts (27%) occurred less often than in medium (30%) and high (32%) SES tracts. Rural tracts had the lowest frequency (21%) compared with suburban (28%) and urban (31%) tracts. In adjusted analyses, EMS prenotification was less likely in low SES (vs high SES; odds ratio 0.76, 95% confidence interval 0.67-0.88) and rural (vs urban; odds ratio 0.64, 95% confidence interval 0.52-0.77) tracts. CONCLUSIONS Across a large, diverse population, EMS prenotification occurred in only one-third of suspected stroke patients. Furthermore, low SES and rural tracts were independently associated with a lower likelihood of prehospital notification. These findings suggest the need for education and quality improvement initiatives to increase EMS stroke prenotification, particularly in underserved communities.
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Affiliation(s)
- Rayad B. Shams
- School of Medicine, University of North Carolina at Chapel
Hill, Chapel Hill
| | - Srihari V. Chari
- Department of Emergency Medicine, University of North
Carolina at Chapel Hill, Chapel Hill
| | - Eric R. Cui
- School of Medicine, University of North Carolina at Chapel
Hill, Chapel Hill
| | | | - Jane H. Brice
- Department of Emergency Medicine, University of North
Carolina at Chapel Hill, Chapel Hill
| | - James E. Winslow
- Department of Emergency Medicine, Wake Forest University,
Winston Salem, North Carolina
| | - Edward C. Jauch
- Department of Research, University of North Carolina Health
Sciences at Mountain Area Health Education Center, Asheville, North Carolina
| | - Mehul D. Patel
- Department of Emergency Medicine, University of North
Carolina at Chapel Hill, Chapel Hill
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Baribeau DA, Arneja J, Wang X, Howe J, McLaughlin JR, Tu K, Guan J, Iaboni A, Kelley E, Ayub M, Nicolson R, Georgiades S, Scherer SW, Bronskill SE, Anagnostou E, Brooks JD. Linkage of whole genome sequencing and administrative health data in autism: A proof of concept study. Autism Res 2023; 16:1600-1608. [PMID: 37526168 DOI: 10.1002/aur.2999] [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: 01/25/2023] [Accepted: 07/15/2023] [Indexed: 08/02/2023]
Abstract
Whether genetic testing in autism can help understand longitudinal health outcomes and health service needs is unclear. The objective of this study was to determine whether carrying an autism-associated rare genetic variant is associated with differences in health system utilization by autistic children and youth. This retrospective cohort study examined 415 autistic children/youth who underwent genome sequencing and data collection through a translational neuroscience program (Province of Ontario Neurodevelopmental Disorders Network). Participant data were linked to provincial health administrative databases to identify historical health service utilization, health care costs, and complex chronic medical conditions during a 3-year period. Health administrative data were compared between participants with and without a rare genetic variant in at least 1 of 74 genes associated with autism. Participants with a rare variant impacting an autism-associated gene (n = 83, 20%) were less likely to have received psychiatric care (at least one psychiatrist visit: 19.3% vs. 34.3%, p = 0.01; outpatient mental health visit: 66% vs. 77%, p = 0.04). Health care costs were similar between groups (median: $5589 vs. $4938, p = 0.4) and genetic status was not associated with odds of being a high-cost participant (top 20%) in this cohort. There were no differences in the proportion with complex chronic medical conditions between those with and without an autism-associated genetic variant. Our study highlights the feasibility and potential value of genomic and health system data linkage to understand health service needs, disparities, and health trajectories in individuals with neurodevelopmental conditions.
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Affiliation(s)
- Danielle A Baribeau
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- SickKids Research Institute, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Jasleen Arneja
- Department of Epidemiology Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
| | | | - Jennifer Howe
- The Centre for Applied Genomics, Department of Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - John R McLaughlin
- Dalla Lana School of Public Health, University of Toronto, Ontario, Canada
| | - Karen Tu
- North York General Hospital and Toronto Western Family Health Team, University Health Network, Toronto, Ontario, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
| | | | - Alana Iaboni
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
| | - Elizabeth Kelley
- Department of Psychiatry, Queens University, Kingston, Ontario, Canada
| | - Muhammad Ayub
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- University College London, London, UK
| | - Robert Nicolson
- Department of Psychiatry, Western University, London, Ontario, Canada
| | - Stelios Georgiades
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
| | - Stephen W Scherer
- The Centre for Applied Genomics, Department of Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Molecular Genetics and McLaughlin Centre, University of Toronto, Toronto, Ontario, Canada
| | - Susan E Bronskill
- ICES, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Ontario, Canada
- Women's College Research Institute, Toronto, Ontario, Canada
- Hurvitz Brain Sciences Program & Evaluative Clinical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Evdokia Anagnostou
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
| | - Jennifer D Brooks
- Dalla Lana School of Public Health, University of Toronto, Ontario, Canada
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Belau MH, Becher H, Riefflin M, Bartig D, Schwettmann L, Schwarzbach CJ, Grau A. The impact of regional deprivation on stroke incidence, treatment, and mortality in Germany. Neurol Res Pract 2023; 5:6. [PMID: 36755347 PMCID: PMC9909858 DOI: 10.1186/s42466-023-00232-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 01/11/2023] [Indexed: 02/10/2023] Open
Abstract
BACKGROUND Regional deprivation has been shown to be an influential factor in stroke incidence risk. However, there is a paucity of knowledge on regional differences in stroke incidence and mortality in Germany. METHODS We assessed data from the Diagnosis Related Groups statistics (2016-2019) and the German Federal Registry of Physicians (2019). Negative binomial regression analysis was used to examine the association between the German Index of Multiple Deprivation 2015 covering 401 districts and district-free cities in Germany and stroke incidence, treatment, and mortality. RESULTS The adjusted rate ratios of stroke incidence and mortality with the highest deprivation level compared with the least deprived area were 1.161 (95% CI [1.143, 1.179]) and 1.193 (95% CI [1.148, 1.239]), respectively. Moreover, this study revealed that physician density was higher in district-free cities compared to districts. CONCLUSIONS Our results indicate that regional deprivation is associated with incident and mortality cases of stroke, necessitating a more targeted approach to stroke prevention in deprived regions.
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Affiliation(s)
- Matthias Hans Belau
- Institute of Medical Biometry and Epidemiology, University Medical Centre Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
| | - Heiko Becher
- grid.7700.00000 0001 2190 4373Heidelberg University Hospital, Heidelberg Institute of Global Health, Heidelberg, Germany
| | - Maya Riefflin
- grid.13648.380000 0001 2180 3484Institute of Medical Biometry and Epidemiology, University Medical Centre Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Dirk Bartig
- grid.5570.70000 0004 0490 981XDepartment of Neurology, St. Josef Hospital Bochum, Ruhr University Bochum, Bochum, Germany
| | - Lars Schwettmann
- grid.5560.60000 0001 1009 3608Department of Health Services Research, School of Medicine and Health Sciences, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
| | | | - Armin Grau
- Department of Neurology, Hospital of the City Ludwigshafen, Ludwigshafen, Germany
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Khot SP, Taylor BL, Longstreth WT, Brown AF. Sleep Health as a Determinant of Disparities in Stroke Risk and Health Outcome. Stroke 2023; 54:595-604. [PMID: 36345822 PMCID: PMC9870956 DOI: 10.1161/strokeaha.122.039524] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Sleep is essential to human survival and overall vascular health. Sleep health encompasses the objective and subjective qualities associated with one's daily pattern of sleep and wakefulness and has become a growing clinical and public health concern. Impaired sleep duration and quality can increase stroke risk and mediate the relationship between the physical aspects of an individual's environment and disparities in stroke incidence. Here, we review observational studies evaluating the association between sleep health and cerebrovascular disease. We assess the influence on sleep of the physical environment, including the ambient environment with noise levels and the built environment. We also describe the influences on sleep health and stroke risk of social determinants of health, including the chronic stressor of racial discrimination. Finally, we discuss how changes in historical neighborhood characteristics or societal policies can influence the social factors affecting sleep health and stroke risk among socioeconomically disadvantaged groups or ethnic and racial minorities. Given the regional and racial or ethnic differences in stroke risk across the United States, an understanding of novel vascular risk factors, such as the multifaceted role of sleep health, will be critical to develop effective public policies to improve population health.
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Affiliation(s)
- Sandeep P Khot
- Department of Neurology (S.P.K., B.L.T., W.T.L.), University of Washington, Seattle
| | - Breana L Taylor
- Department of Neurology (S.P.K., B.L.T., W.T.L.), University of Washington, Seattle
| | - W T Longstreth
- Department of Neurology (S.P.K., B.L.T., W.T.L.), University of Washington, Seattle
- Department of Epidemiology (W.T.L.), University of Washington, Seattle
| | - Arleen F Brown
- Department of Medicine, University of California, Los Angeles (A.F.B.)
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10
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Wang T, Li Y, Zheng X. Association of socioeconomic status with cardiovascular disease and cardiovascular risk factors: a systematic review and meta-analysis. ZEITSCHRIFT FUR GESUNDHEITSWISSENSCHAFTEN = JOURNAL OF PUBLIC HEALTH 2023:1-15. [PMID: 36714072 PMCID: PMC9867543 DOI: 10.1007/s10389-023-01825-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 01/08/2023] [Indexed: 01/22/2023]
Abstract
Aim Cardiovascular disease (CVD) remains one of the leading causes of mortality worldwide, and several studies have indicated the association between socioeconomic status (SES) with CVD and cardiovascular risk factors (CVRFs). It is necessary to elucidate the association of SES and CVRFs with CVD. Subject and methods We searched PubMed, Embase, Web of Science, and the Cochrane Library for publications, using "socioeconomic status," "cardiovascular disease," and corresponding synonyms to obtain literature. The quality of studies was evaluated using the National Institutes of Health Quality Assessment Tool (NIH-QAT). All analyses were performed using Stata V.12.0. Results There were 31 eligible studies included in this meta-analysis. All studies presented a low risk of bias via NIH-QAT assessment. As for CVD incidence/mortality, pooled hazard ratios (HR) of low and middle vs. high income were [HR = 1.22 (1.17-1.28); HR = 1.12 (1.09-1.16)] and [HR = 1.37 (1.21-1.56); HR = 1.19 (1.06-1.34)]. The HR of education were [HR = 1.44 (1.28-1.63); HR = 1.2 (1.11-1.3)] and [HR = 1.5 (1.22-1.83); HR = 1.13 (1.05-1.22)]. The HR of deprivation were [HR = 1.28 (1.16-1.41); HR = 1.07 (1.03-1.11)] and [HR = 1.19 (1.11-1.29); HR = 1.1 (1.02-1.17)]. SES was negatively correlated with CVD outcomes. A subgroup analysis of gender and national income level also yielded a negative correlation, and additional details were also obtained. Conclusions SES is inversely correlated with CVD outcomes and the prevalence of CVRFs. As for CVD incidence, women may be more sensitive to income and education. In terms of CVD mortality, men may be more sensitive to income and education, and people from low- and middle-income countries are sensitive to income and education. Supplementary Information The online version contains supplementary material available at 10.1007/s10389-023-01825-4.
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Affiliation(s)
- Tao Wang
- School of Economics and Management, Southwest Petroleum University, NO. 8 Xindu Avenue, Xindu District, Chengdu City, Sichuan Province China
| | - Yilin Li
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xiaoqiang Zheng
- School of Economics and Management, Southwest Petroleum University, NO. 8 Xindu Avenue, Xindu District, Chengdu City, Sichuan Province China
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11
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Yu AYX, Austin PC, Rashid M, Fang J, Porter J, Vyas MV, Smith EE, Joundi RA, Edwards JD, Reeves MJ, Kapral MK. Sex Differences in Intensity of Care and Outcomes After Acute Ischemic Stroke Across the Age Continuum. Neurology 2023; 100:e163-e171. [PMID: 36180239 DOI: 10.1212/wnl.0000000000201372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 08/23/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Sex differences in stroke care and outcomes have been previously reported, but it is not known whether these associations vary across the age continuum. We evaluated whether the magnitude of female-male differences in care and outcomes varied with age. METHODS In a population-based cohort study, we identified patients hospitalized with ischemic stroke between 2012 and 2019 and followed through 2020 in Ontario, Canada, using administrative data. We evaluated sex differences in receiving intensive care unit services, mechanical ventilation, gastrostomy tube insertion, comprehensive stroke center care, stroke unit care, thrombolysis, and endovascular thrombectomy using logistic regression and reported odds ratios (ORs) and 95% CIs. We used Cox proportional hazard models and reported the hazard ratios (HRs) and 95% CI of death within 90 or 365 days. Models were adjusted for covariates and included an interaction between age and sex. We used restricted cubic splines to model the relationship between age and care and outcomes. Where the p-value for interaction was statistically significant (p < 0.05), we reported age-specific OR or HR. RESULTS Among 67,442 patients with ischemic stroke, 45.9% were female and the median age was 74 years (64-83). Care was similar between both sexes, except female patients had higher odds of receiving endovascular thrombectomy (OR 1.35, 95% CI [1.19-1.54] comparing female with male), and these associations were not modified by age. There was no overall sex difference in hazard of death (HR 95% CI 0.99 [0.95-1.04] for death within 90 days; 0.99 [0.96-1.03] for death within 365 days), but these associations were modified by age with the hazard of death being higher in female than male patients between the ages of 50-70 years (most extreme difference around age 57, HR 95% CI 1.25 [1.10-1.40] at 90 days, p-interaction 0.002; 1.15 [1.10-1.20] at 365 days, p-interaction 0.002). DISCUSSION The hazard of death after stroke was higher in female than male patients aged 50-70 years. Examining overall sex differences in outcomes without accounting for the effect modification by age may miss important findings in specific age groups.
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Affiliation(s)
- Amy Ying Xin Yu
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada.
| | - Peter C Austin
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada
| | - Mohammed Rashid
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada
| | - Jiming Fang
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada
| | - Joan Porter
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada
| | - Manav V Vyas
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada
| | - Eric E Smith
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada
| | - Raed A Joundi
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada
| | - Jodi D Edwards
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada
| | - Mathew J Reeves
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada
| | - Moira K Kapral
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada
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12
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Chari SV, Cui ER, Fehl HE, Fernandez AR, Brice JH, Patel MD. Community socioeconomic and urban-rural differences in emergency medical services times for suspected stroke in North Carolina. Am J Emerg Med 2023; 63:120-126. [PMID: 36370608 PMCID: PMC10425758 DOI: 10.1016/j.ajem.2022.10.039] [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: 08/05/2022] [Revised: 10/19/2022] [Accepted: 10/23/2022] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVE Our objectives were to describe time intervals of EMS encounters for suspected stroke patients in North Carolina (NC) and evaluate differences in EMS time intervals by community socioeconomic status (SES) and rurality. METHODS This cross-sectional study used statewide data on EMS encounters of suspected stroke in NC in 2019. Eligible patients were adults requiring EMS transport to a hospital following a 9-1-1 call for stroke-like symptoms. Incident street addresses were geocoded to census tracts and linked to American Community Survey SES data and to rural-urban commuting area (RUCA) codes. Community SES was defined as high, medium, or low based on tertiles of an SES index. Urban, suburban, and rural tracts were defined by RUCA codes 1, 2-6, and 7-10, respectively. Multivariable quantile regression was used to estimate how the median and 90th percentile of EMS time intervals varied by community SES and rurality, adjusting for each other; patient age, gender, and race/ethnicity; and incident characteristics. RESULTS We identified 17,117 eligible EMS encounters of suspected stroke from 2028 census tracts. The population was 65% 65+ years old; 55% female; and 69% Non-Hispanic White. Median response, scene, and transport times were 8 (interquartile range, IQR 6-11) min, 16 (IQR 12-20) min, and 14 (IQR 9-22) minutes, respectively. In quantile regression adjusted for patient demographics, minimal differences were observed for median response and scene times by community SES and rurality. The largest median differences were observed for transport times in rural (6.7 min, 95% CI 5.8, 7.6) and suburban (4.7 min, 95% CI 4.2, 5.1) tracts compared to urban tracts. Adjusted rural-urban differences in 90th percentile transport times were substantially greater (16.0 min, 95% CI 14.5, 17.5). Low SES was modesty associated with shorter median (-3.3 min, 95% CI -3.8, -2.9) and 90th percentile (-3.0 min, 95% CI -4.0, -2.0) transport times compared to high SES tracts. CONCLUSIONS While community-level factors were not strongly associated with EMS response and scene times for stroke, transport times were significantly longer rural tracts and modestly shorter in low SES tracts, accounting for patient demographics. Further research is needed on the role of community socioeconomic deprivation and rurality in contributing to delays in prehospital stroke care.
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Affiliation(s)
- Srihari V Chari
- Department of Emergency Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Eric R Cui
- Department of Emergency Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Haylie E Fehl
- Department of Emergency Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Antonio R Fernandez
- Department of Emergency Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA; ESO, Austin, TX, USA
| | - Jane H Brice
- Department of Emergency Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Mehul D Patel
- Department of Emergency Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
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13
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Muir RT, Kapoor A, Cayley ML, Sicard MN, Lien K, Southwell A, Dowlatshahi D, Sahlas DJ, Saposnik G, Mandzia J, Casaubon LK, Hassan A, Perez Y, Selchen D, Murray BJ, Lanctot K, Kapral MK, Herrmann N, Strother S, Yu AYX, Austin PC, Bronskill SE, Swartz RH. Language discordance as a marker of disparities in cerebrovascular risk and stroke outcomes: A multi-center Canadian study. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2023; 4:100163. [PMID: 36909680 PMCID: PMC9996323 DOI: 10.1016/j.cccb.2023.100163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 02/04/2023] [Accepted: 02/16/2023] [Indexed: 02/26/2023]
Abstract
Background Differences in ischemic stroke outcomes occur in those with limited English proficiency. These health disparities might arise when a patient's spoken language is discordant from the primary language utilized by the health system. Language concordance is an understudied concept. We examined whether language concordance is associated with differences in vascular risk or post-stroke functional outcomes, depression, obstructive sleep apnea and cognitive impairment. Methods This was a multi-center observational cross-sectional cohort study. Patients with ischemic stroke/transient ischemic attack (TIA) were consecutively recruited across eight regional stroke centers in Ontario, Canada (2012 - 2018). Participants were language concordant (LC) if they spoke English as their native language, ESL if they used English as a second language, or language discordant (LD) if non-English speaking and requiring translation. Results 8156 screened patients. 6,556 met inclusion criteria: 5067 LC, 1207 ESL and 282 LD. Compared to LC patients: (i) ESL had increased odds of diabetes (OR = 1.28, p = 0.002), dyslipidemia (OR = 1.20, p = 0.007), and hypertension (OR = 1.37, p<0.001) (ii) LD speaking patients had an increased odds of having dyslipidemia (OR = 1.35, p = 0.034), hypertension (OR = 1.37, p<0.001), and worse functional outcome (OR = 1.66, p<0.0001). ESL (OR = 1.88, p<0.0001) and LD (OR = 1.71, p<0.0001) patients were more likely to have lower cognitive scores. No associations were noted with obstructive sleep apnea (OSA) or depression. Conclusions Measuring language concordance in stroke/TIA reveals differences in neurovascular risk and functional outcome among patients with limited proficiency in the primary language of their health system. Lower cognitive scores must be interpreted with caution as they may be influenced by translation and/or greater vascular risk. Language concordance is a simple, readily available marker to identify those at risk of worse functional outcome. Stroke systems and practitioners must now study why these differences exist and devise adaptive care models, treatments and education strategies to mitigate barriers influenced by language discordance.
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Affiliation(s)
- Ryan T Muir
- University of Toronto, Department of Medicine, Division of Neurology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Arunima Kapoor
- University of Toronto, Department of Medicine, Division of Neurology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Megan L Cayley
- University of Toronto, Department of Medicine, Division of Neurology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Michelle N Sicard
- University of Toronto, Department of Medicine, Division of Neurology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Karen Lien
- University of Toronto, Department of Medicine, Division of Neurology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Alisia Southwell
- University of Toronto, Department of Medicine, Division of Neurology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Dar Dowlatshahi
- Ottawa Stroke Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Demetrios J Sahlas
- McMaster University, Department of Medicine (Neurology), Hamilton General Hospital, Hamilton Health Sciences, Hamilton, ON, Canada
| | - Gustavo Saposnik
- St. Michael's Hospital, Division of Neurology, Toronto, ON, Canada
| | - Jennifer Mandzia
- London Health Sciences Centre, Division of Neurology, London, ON, Canada
| | - Leanne K Casaubon
- University Health Network/Toronto Western Hospital, Division of Neurology, Toronto, ON, Canada
| | - Ayman Hassan
- Thunder Bay Regional Health Sciences Centre, Division of Neurology, Thunder Bay, ON, Canada
| | - Yael Perez
- Trillium Health Partners, Department of Medicine (Neurology), Mississauga, ON, Canada
| | - Daniel Selchen
- St. Michael's Hospital, Division of Neurology, Toronto, ON, Canada
| | - Brian J Murray
- University of Toronto, Department of Medicine, Division of Neurology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Sunnybrook Research Institute, Toronto, ON, Canada
| | - Krista Lanctot
- Sunnybrook Research Institute, Toronto, ON, Canada.,University of Toronto, Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, ON Canada
| | - Moira K Kapral
- Sunnybrook Research Institute, Toronto, ON, Canada.,University of Toronto, Department of Medicine, Division of General Internal Medicine, Toronto, Canada.,ICES, Toronto, ON, Canada.,University of Toronto, Institute of Health Policy Management and Evaluation, Toronto, ON, Canada
| | - Nathan Herrmann
- Sunnybrook Research Institute, Toronto, ON, Canada.,University of Toronto, Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, ON Canada
| | - Stephen Strother
- Rotman Research Institute, Centre for Stroke Recovery, Baycrest Site, Toronto, ON, Canada
| | - Amy Y X Yu
- University of Toronto, Department of Medicine, Division of Neurology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Sunnybrook Research Institute, Toronto, ON, Canada.,ICES, Toronto, ON, Canada.,University of Toronto, Institute of Health Policy Management and Evaluation, Toronto, ON, Canada
| | - Peter C Austin
- ICES, Toronto, ON, Canada.,University of Toronto, Institute of Health Policy Management and Evaluation, Toronto, ON, Canada
| | - Susan E Bronskill
- Sunnybrook Research Institute, Toronto, ON, Canada.,ICES, Toronto, ON, Canada.,University of Toronto, Institute of Health Policy Management and Evaluation, Toronto, ON, Canada
| | - Richard H Swartz
- University of Toronto, Department of Medicine, Division of Neurology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Sunnybrook Research Institute, Toronto, ON, Canada.,ICES, Toronto, ON, Canada
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14
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Naouri D, Allain S, Fery-Lemonier E, Wolff V, Derex L, Raynaud P, Costemalle V. Social inequalities and gender differences in health care management of acute ischemic strokes in France. Eur J Neurol 2022; 29:3255-3263. [PMID: 35789144 DOI: 10.1111/ene.15490] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 06/28/2022] [Accepted: 06/29/2022] [Indexed: 11/27/2022]
Abstract
INTRODUCTION There are regional disparities in access to stroke units in France. Several studies have shown that living in disadvantaged areas is associated with higher frequency of stroke, worse severity at presentation, increased level of dependency, and higher mortality rates. However, few studies have explored the association between an individual's socioeconomic characteristics and stroke care. Our study aimed to determine if living standards are associated with stroke unit access for patients admitted to hospital for acute ischemic stroke. METHODS Using the EDP-Santé French administrative database, we selected all patients admitted to hospital for acute ischemic stroke between 2014 and 2017. Acute ischemic stroke corresponded to hospital stay with ICD-10 codes I63 or I64 as the main diagnosis. Multivariate logistic regression was used to identify if standard of living was associated with likelihood of admission to a stroke unit. RESULTS We identified 14 123 acute-care episodes, corresponding to 335 273 episodes in the general population when appropriately weighted. Of these, 52.9 % were admitted to a stroke unit. Being in the first (i.e., poorest) living standard quartile was associated with lower likelihood of admission to a stroke unit compared with the fourth (i.e., wealthiest) quartile, and was associated with a higher likelihood of paralysis and language disorder, and death at 1 year. CONCLUSION A low living standard was associated with lower likelihood of admission to a stroke unit as well as a greater chance of paralysis and aphasia at the end of hospitalization and a higher possibility of death at 1 year after stroke. Greater access to stroke units in disadvantaged people should be promoted.
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Affiliation(s)
- D Naouri
- Department for Research, Studies, Evaluation and Statistics (DREES), French Health and Social Affairs Ministry, Paris, France
| | - S Allain
- Department for Research, Studies, Evaluation and Statistics (DREES), French Health and Social Affairs Ministry, Paris, France
| | - E Fery-Lemonier
- Department for Research, Studies, Evaluation and Statistics (DREES), French Health and Social Affairs Ministry, Paris, France
| | - V Wolff
- Société Française de Neuro-Vasculaire (SFNV).,Service de neuro-vasculaire, Hôpital de Hautepierre, Strasbourg.,UR3072, Université de Strasbourg, Strasbourg
| | - L Derex
- Société Française de Neuro-Vasculaire (SFNV).,Stroke center, neurology department, neurological hospital, Hospices Civils de Lyon, France.,Research on Healthcare Performance (RESHAPE) U 1290 - INSERM, Université de Lyon, France
| | - P Raynaud
- Department for Research, Studies, Evaluation and Statistics (DREES), French Health and Social Affairs Ministry, Paris, France
| | - V Costemalle
- Department for Research, Studies, Evaluation and Statistics (DREES), French Health and Social Affairs Ministry, Paris, France
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15
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Buus SMØ, Schmitz ML, Cordsen P, Johnsen SP, Andersen G, Simonsen CZ. Socioeconomic Inequalities in Reperfusion Therapy for Acute Ischemic Stroke. Stroke 2022; 53:2307-2316. [PMID: 35579017 DOI: 10.1161/strokeaha.121.037687] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Reperfusion therapies (thrombolysis and thrombectomy) are of paramount importance for the recovery after ischemic stroke. We aimed to investigate if socioeconomic status (SES) was associated with the chance of receiving reperfusion therapy for ischemic stroke in a country with tax-funded health care. METHODS This nationwide register-based cohort study included patients with ischemic stroke registered in the Danish Stroke Registry between 2015 and 2018. SES was determined by prestroke educational attainment, income level, and employment status. Data on SES was obtained from Statistics Denmark and linked on an individual level with data from the Danish Stroke Registry. Risk ratios (RR) for receiving reperfusion therapies were calculated using univariate and multivariable Poisson regression with robust variance. RESULTS A total of 37 187 ischemic stroke patients were included. Low SES, as defined by education, income and employment status, was associated with lower treatment rates. The socioeconomic gradient was most pronounced according to employment status, with intravenous thrombolysis rates of 23.7% versus 15.8%, and thrombectomy rates of 5.1% versus 2.8% for employed versus unemployed patients. When the analyses were restricted to patients with timely hospital arrival, and adjusted for age, sex and immigrant status, low SES according to income and employment remained unfavorable for the likelihood of receiving intravenous thrombolysis: adjusted RR, 0.90 (95% CI, 0.86-0.95) for low versus high income, and adjusted RR, 0.77 (95% CI, 0.71-0.84) for unemployed versus employed patients. Similarly, low SES according to income and employment status remained unfavorable for the likelihood of receiving thrombectomy: adjusted RR, 0.83 (95% CI, 0.72-0.95) for low versus high income and adjusted RR, 0.68 (95% CI, 0.53-0.88) for unemployed versus employed patients. CONCLUSIONS Socioeconomic inequalities in reperfusion treatment rates among ischemic stroke patients prevail, even in a country with tax-funded universal health care.
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Affiliation(s)
| | - Marie Louise Schmitz
- Department of Neurology, Aarhus University Hospital, Denmark (S.M.Ø.B., M.L.S., G.A., C.Z.S.)
| | - Pia Cordsen
- Danish Center for Clinical Health Services Research, Aalborg University, Denmark (P.C., S.P.J.)
| | - Søren Paaske Johnsen
- Danish Center for Clinical Health Services Research, Aalborg University, Denmark (P.C., S.P.J.).,Department of Clinical Medicine, Aalborg University (S.P.J.)
| | - Grethe Andersen
- Department of Neurology, Aarhus University Hospital, Denmark (S.M.Ø.B., M.L.S., G.A., C.Z.S.).,Department of Clinical Medicine, Aarhus University (G.A., C.Z.S.)
| | - Claus Ziegler Simonsen
- Department of Neurology, Aarhus University Hospital, Denmark (S.M.Ø.B., M.L.S., G.A., C.Z.S.).,Department of Clinical Medicine, Aarhus University (G.A., C.Z.S.)
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16
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Janssen PM, van Overhagen K, Vinklárek J, Roozenbeek B, van der Worp HB, Majoie CB, Bar M, Černík D, Herzig R, Jurák L, Ostrý S, Mikulik R, Lingsma HF, Dippel DWJ. Between-Center Variation in Outcome After Endovascular Treatment of Acute Stroke: Analysis of Two Nationwide Registries. Circ Cardiovasc Qual Outcomes 2022; 15:e008180. [PMID: 35094522 PMCID: PMC8920023 DOI: 10.1161/circoutcomes.121.008180] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Supplemental Digital Content is available in the text. Insight in differences in patient outcomes between endovascular thrombectomy (EVT) centers can help to improve stroke care. We assessed between-center variation in functional outcome of patients with acute ischemic stroke who were treated with EVT. We analyzed to what extent this variation may be explained by modifiable center characteristics.
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Affiliation(s)
- Paula M Janssen
- Department of Neurology (P.M.J, K.v.O., B.R., D.W.J.D.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Katrine van Overhagen
- Department of Neurology (P.M.J, K.v.O., B.R., D.W.J.D.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Jan Vinklárek
- International Clinical Research Center, Department of Neurology, St Anne's University Hospital, Brno, Czech Republic (J.V., R.M.).,Faculty of Medicine at Masaryk University, Brno, Czech Republic (J.V., R.M.)
| | - Bob Roozenbeek
- Department of Neurology (P.M.J, K.v.O., B.R., D.W.J.D.), Erasmus MC University Medical Center Rotterdam, the Netherlands.,Department of Radiology and Nuclear Medicine (B.R.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - H Bart van der Worp
- Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, the Netherlands (H.B.v.d.W.)
| | - Charles B Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location AMC, the Netherlands (C.B.M.)
| | - Michal Bar
- Department of Neurology, University Hospital Ostrava, Czech Republic (M.B.).,Faculty of Medicine at University Ostrava, Czech Republic (M.B.)
| | - David Černík
- Masaryk Hospital Ústí nad Labem - KZ a.s., Comprehensive Stroke Center, Department of Neurology, Ústí nad Labem, Czech Republic (D.C.)
| | - Roman Herzig
- Comprehensive Stroke Center, University Hospital Hradec Králové, Czech Republic (R.H.).,Charles University Faculty of Medicine in Hradec Králové, Hradec Králové, Czech Republic (R.H.)
| | - Lubomir Jurák
- Regional Hospital Liberec, Neurocenter, Liberec, Czech Republic (L.J.)
| | - Svatopluk Ostrý
- Comprehensive Stroke Center, Department of Neurology, Hospital České Budějovice, a.s., České Budějovice, Czech Republic (S.O.).,Department of Neurosurgery and Neurooncology, First Faculty of Medicine, Charles University in Prague and Military University Hospital Prague (S.O.)
| | - Robert Mikulik
- International Clinical Research Center, Department of Neurology, St Anne's University Hospital, Brno, Czech Republic (J.V., R.M.).,Faculty of Medicine at Masaryk University, Brno, Czech Republic (J.V., R.M.)
| | - Hester F Lingsma
- Department of Public Health (H.F.L.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Diederik W J Dippel
- Department of Neurology (P.M.J, K.v.O., B.R., D.W.J.D.), Erasmus MC University Medical Center Rotterdam, the Netherlands
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17
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Striving for Socioeconomic Equity in Ischemic Stroke Care: Imaging and Acute Treatment Utilization From a Comprehensive Stroke Center. J Am Coll Radiol 2022; 19:348-358. [PMID: 35152960 PMCID: PMC8867840 DOI: 10.1016/j.jacr.2021.07.027] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 07/22/2021] [Indexed: 02/03/2023]
Abstract
PURPOSE Prior studies have shown socioeconomic disparities in advanced neuroimaging and acute treatment utilization in patients with ischemic stroke. The authors analyzed whether socioeconomic factors were associated with stroke neuroimaging and acute treatment utilization at a comprehensive stroke center. METHODS A retrospective study of consecutive acute ischemic stroke discharges from 2012 to 2020 at a comprehensive stroke center was performed. Differences in neuroimaging (CT angiography [CTA], CT perfusion, MRI, and MR angiography [MRA]) and acute treatment (intravenous thrombolysis [IVT] and endovascular thrombectomy [EVT]) utilization were evaluated on the basis of socioeconomic factors of age, sex, race, insurance type, and neighborhood-level median household income. Chi-square tests were used for bivariate analyses. Multivariable logistic regression analyses were performed to determine associations between socioeconomic factors and neuroimaging or treatment utilization while controlling for stroke-specific factors and comorbidities. RESULTS Among 6,140 ischemic stroke discharges, race and insurance type were not significantly associated with lower utilization of neuroimaging (CTA, CT perfusion, MRI, and MRA) or acute stroke treatment (IVT and EVT) after controlling for stroke-specific factors and comorbidities. However, median household income < $80,000/year was associated with lower IVT use (odds ratio [OR], 0.74; 95% confidence interval [CI], 0.63-0.87). In addition, age ≥ 80 years had lower CTA (OR, 0.62; 95% CI, 0.51-0.75) and EVT (OR, 0.53; 95% CI, 0.39-0.73) utilization, and female sex had lower CTA (OR, 0.78; 95% CI, 0.65-0.93) utilization. Significantly higher utilization was observed for MRI in Asian (OR, 1.33; 95% CI, 1.04-1.69) and uninsured (OR, 1.64; 95% CI, 1.07-2.50) patients and for MRA (OR, 1.24; 95% CI, 1.04-1.49) and EVT (OR, 1.62; 95% CI, 1.20-2.20) in privately insured patients. CONCLUSIONS Once access to a comprehensive stroke center is achieved, socioeconomic disparities in the utilization of health care resources, particularly advanced neuroimaging and acute treatment, may be improved in patients with ischemic stroke.
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18
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Stroke Disparities. Stroke 2022. [DOI: 10.1016/b978-0-323-69424-7.00015-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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19
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Incorporating Medical Supply and Demand into the Index of Physician Maldistribution Improves the Sensitivity to Healthcare Outcomes. J Clin Med 2021; 11:jcm11010155. [PMID: 35011896 PMCID: PMC8745359 DOI: 10.3390/jcm11010155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 12/20/2021] [Accepted: 12/21/2021] [Indexed: 11/16/2022] Open
Abstract
Background: Since the association between disparity in physician distribution and specific healthcare outcomes is poorly documented, we aimed to clarify the association between physician maldistribution and cerebrovascular disease (CeVD), a high-priority health outcome in Japan. Methods: In this cross-sectional study, we conducted multivariable regression analysis with the Physician Uneven Distribution Index (PUDI), a recently developed and adopted policy index in Japan that uniquely incorporates the gap between medical supply and demand, as the independent variable and CeVD death rate as the dependent variable. Population density, mean annual income, and prevalence of hypertension were used as covariates. Results: The coefficient of the PUDI for the CeVD death rate was −0.34 (95%CI: −0.49–−0.19) before adjusting for covariates and was −0.19 (95%CI: −0.30–−0.07) after adjusting. The adjusted R squared of the analysis for the PUDI was 0.71 in the final model. However, the same multivariable regression model showed that the number of physicians per 100,000 people (NPPP) was not associated with the CeVD death rates before or after adjusting for the covariates. Conclusion: Incorporating the gap between the medical supply and demand in physician maldistribution indices could improve the responsiveness of the index for assessing the disparity in healthcare outcomes.
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20
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Yu AY, Lee DS, Vyas MV, Porter J, Rashid M, Fang J, Austin PC, Hill MD, Kapral MK. Emergency Department Visits, Care, and Outcome After Stroke and Myocardial Infarction During the COVID-19 Pandemic Phases. CJC Open 2021; 3:1230-1237. [PMID: 34723166 PMCID: PMC8548659 DOI: 10.1016/j.cjco.2021.06.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 06/02/2021] [Indexed: 12/11/2022] Open
Abstract
Background It is not known if initial reductions in hospitalization for stroke and myocardial infarction early during the coronavirus disease–2019 pandemic were followed by subsequent increases. We describe the rates of emergency department visits for stroke and myocardial infarction through the pandemic phases. Methods We used linked administrative data to compare the weekly age- and sex-standardized rates of visits for stroke and myocardial infarction in Ontario, Canada in the first 9 months of 2020 to the mean baseline rates (2015-2019) using rate ratios (RRs) and 95% confidence intervals (CIs). We compared care and outcomes by pandemic phases (pre-pandemic was January-March, lockdown was March-May, early reopening was May-July, and late reopening was July-September). Results We identified 15,682 visits in 2020 for ischemic stroke (59.2%; n = 9279), intracerebral hemorrhage (12.2%; n = 1912), or myocardial infarction (28.6%; n = 4491). The weekly rates for stroke visits in 2020 were lower during the lockdown and early reopening than at baseline (RR 0.76, 95% CI [0.66, 0.87] for the largest weekly decrease). The weekly rates for myocardial infarction visits were lower during the lockdown only (RR 0.61, 95% CI [0.46, 0.77] for the largest weekly decrease), and there was a compensatory increase in visits following reopening. Ischemic stroke 30-day mortality was increased during the lockdown phase (11.5% pre-coronavirus disease; 12.2% during lockdown; 9.2% during early reopening; and 10.6% during late reopening, P = 0.015). Conclusion After an initial reduction in visits for stroke and myocardial infarction, there was a compensatory increase in visits for myocardial infarction. The death rate after ischemic stroke was higher during the lockdown than in other phases.
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Affiliation(s)
- Amy Y.X. Yu
- Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Corresponding author: Dr Amy Y.X. Yu, Neurologist, Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, Office A-455, 2075 Bayview Ave, Toronto, Ontario M4N 3M5, Canada. Tel.: +1-416-480-4866; fax: +1-416-480-5753.
| | - Douglas S. Lee
- ICES, Toronto, Ontario, Canada
- Department of Medicine (Cardiology), University of Toronto–University Health Network, Toronto, Ontario, Canada
| | - Manav V. Vyas
- Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
| | | | | | | | | | - Michael D. Hill
- Department of Clinical Neurosciences, Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Moira K. Kapral
- ICES, Toronto, Ontario, Canada
- Department of Medicine (General Internal Medicine), University of Toronto–University Health Network, Toronto, Ontario, Canada
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21
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Taufique ZM, Escher PJ, Gathman TJ, Nickel AJ, Lee DB, Roby BB, Chinnadurai S. Demographic Risk Factors for Malnutrition in Patients With Cleft Lip and Palate. Laryngoscope 2021; 132:1482-1486. [PMID: 34665463 DOI: 10.1002/lary.29899] [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: 07/27/2021] [Revised: 09/21/2021] [Accepted: 10/05/2021] [Indexed: 11/07/2022]
Abstract
OBJECTIVES/HYPOTHESIS Patients with cleft lip and/or palate (CLP) are at increased risk of malnutrition. Acute and chronic malnutrition have been associated with elevated risk of postsurgical wound complications, adding morbidity and cost to patients and their families. To study the association between demographic factors, including insurance type, race, and median neighborhood income (MNI), and malnutrition in patients with CLP. STUDY DESIGN Retrospective cohort study. METHODS Retrospective review was performed in patients undergoing their first cleft-related surgery at a large tertiary pediatric hospital from 2006 to 2018. Demographic data, weight and height at surgery, type of insurance, race, and primary residential address were collected. Geocoded information on MNI was generated using patient address. World Health Organization Z-scores for weight-for-age (WFA) and height-for-age (HFA) were used as proxies for acute and chronic malnutrition, respectively. Linear regression models were generated to analyze the relationship of insurance type, race, and MNI on WFA and HFA Z-scores. RESULTS About 313 patients met inclusion criteria. Increasing MNI predicted increasing WFA Z-score (0.05 increase in WFA per $1,000 increase, P = .047) as well as HFA Z-score (0.09 increase in HFA per $1,000 increase, P = .011). The effect of MNI was not independently modified by race for either WFA (P = .841) nor HFA (P = .404). Race and insurance type did not predict WFA or HFA. CONCLUSIONS Lower MNI is a significant independent risk factor for acute and chronic malnutrition in children with CLP. Combined with previous investigation linking malnutrition to surgical outcomes in this population, this offers a target area for intervention to improve patient outcomes. LEVEL OF EVIDENCE 3 Laryngoscope, 2021.
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Affiliation(s)
- Zahrah M Taufique
- ENT and Facial Plastic Surgery, Children's Minnesota, Minneapolis, Minnesota, U.S.A.,Department of Otolaryngology - Head and Neck Surgery, University of Minnesota, Minneapolis, Minnesota, U.S.A
| | - Paul J Escher
- University of Minnesota School of Medicine, Minneapolis, Minnesota, U.S.A
| | - Tyler J Gathman
- University of Minnesota School of Medicine, Minneapolis, Minnesota, U.S.A
| | - Amanda J Nickel
- Children's Research Institute, Children's Minnesota, Minneapolis, Minnesota, U.S.A
| | - Daniel B Lee
- Amherst H. Wilder Foundation, Saint Paul, Minnesota, U.S.A
| | - Brianne B Roby
- ENT and Facial Plastic Surgery, Children's Minnesota, Minneapolis, Minnesota, U.S.A.,Department of Otolaryngology - Head and Neck Surgery, University of Minnesota, Minneapolis, Minnesota, U.S.A
| | - Sivakumar Chinnadurai
- ENT and Facial Plastic Surgery, Children's Minnesota, Minneapolis, Minnesota, U.S.A.,Department of Otolaryngology - Head and Neck Surgery, University of Minnesota, Minneapolis, Minnesota, U.S.A
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22
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Yu AYX, Smith EE, Krahn M, Austin PC, Rashid M, Fang J, Porter J, Vyas MV, Bronskill SE, Swartz RH, Kapral MK. Association of Neighborhood-Level Material Deprivation With Health Care Costs and Outcome After Stroke. Neurology 2021; 97:e1503-e1511. [PMID: 34408072 PMCID: PMC8575135 DOI: 10.1212/wnl.0000000000012676] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 07/26/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES To determine the association between material deprivation and direct health care costs and clinical outcomes following stroke in the context of a publicly funded universal health care system. METHODS In this population-based cohort study of patients with ischemic and hemorrhagic stroke admitted to the hospital between 2008 and 2017 in Ontario, Canada, we used linked administrative data to identify the cohort, predictor variables, and outcomes. The exposure was a 5-level neighborhood material deprivation index. The primary outcome was direct health care costs incurred by the public payer in the first year. Secondary outcomes were death and admission to long-term care. RESULTS Among 90,289 patients with stroke, the mean (SD) per-person costs increased with increasing material deprivation, from $50,602 ($55,582) in the least deprived quintile to $56,292 ($59,721) in the most deprived quintile (unadjusted relative cost ratio and 95% confidence interval 1.11 [1.08, 1.13] and adjusted relative cost ratio 1.07 [1.05, 1.10] for least compared to most deprived quintile). People in the most deprived quintile had higher mortality within 1 year compared to the least deprived quintile (adjusted hazard ratio [HR] 1.07 [1.03, 1.12]) as well as within 3 years (adjusted HR 1.09 [1.05, 1.13]). Admission to long-term care increased incrementally with material deprivation and those in the most deprived quintile had an adjusted HR of 1.33 (1.24, 1.43) compared to those in the least deprived quintile. DISCUSSION Material deprivation is a risk factor for increased costs and poor outcomes after stroke. Interventions targeting health inequities due to social determinants of health are needed. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that the neighborhood-level material deprivation predicts direct health care costs.
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Affiliation(s)
- Amy Y X Yu
- From the Department of Medicine (Neurology), Sunnybrook Health Sciences Centre (A.Y.X.Y., M.V.V., R.H.S.), and Institute of Health Policy, Management, and Evaluation (A.Y.X.Y., M.K., P.C.A., M.V.V., S.E.B., M.K.K.), University of Toronto; ICES (A.Y.X.Y., M.K., P.C.A., M.R., J.F., J.P., M.V.V., S.E.B., R.H.S., M.K.K.), Toronto; Department of Clinical Neurosciences, Community Health Sciences, and Hotchkiss Brain Institute (E.E.S.), University of Calgary; Department of Medicine (General Internal Medicine) (M.K., M.K.K.), University of Toronto-University Health Network; and Toronto Health Economics and Technology Assessment (M.K.), Canada.
| | - Eric E Smith
- From the Department of Medicine (Neurology), Sunnybrook Health Sciences Centre (A.Y.X.Y., M.V.V., R.H.S.), and Institute of Health Policy, Management, and Evaluation (A.Y.X.Y., M.K., P.C.A., M.V.V., S.E.B., M.K.K.), University of Toronto; ICES (A.Y.X.Y., M.K., P.C.A., M.R., J.F., J.P., M.V.V., S.E.B., R.H.S., M.K.K.), Toronto; Department of Clinical Neurosciences, Community Health Sciences, and Hotchkiss Brain Institute (E.E.S.), University of Calgary; Department of Medicine (General Internal Medicine) (M.K., M.K.K.), University of Toronto-University Health Network; and Toronto Health Economics and Technology Assessment (M.K.), Canada
| | - Murray Krahn
- From the Department of Medicine (Neurology), Sunnybrook Health Sciences Centre (A.Y.X.Y., M.V.V., R.H.S.), and Institute of Health Policy, Management, and Evaluation (A.Y.X.Y., M.K., P.C.A., M.V.V., S.E.B., M.K.K.), University of Toronto; ICES (A.Y.X.Y., M.K., P.C.A., M.R., J.F., J.P., M.V.V., S.E.B., R.H.S., M.K.K.), Toronto; Department of Clinical Neurosciences, Community Health Sciences, and Hotchkiss Brain Institute (E.E.S.), University of Calgary; Department of Medicine (General Internal Medicine) (M.K., M.K.K.), University of Toronto-University Health Network; and Toronto Health Economics and Technology Assessment (M.K.), Canada
| | - Peter C Austin
- From the Department of Medicine (Neurology), Sunnybrook Health Sciences Centre (A.Y.X.Y., M.V.V., R.H.S.), and Institute of Health Policy, Management, and Evaluation (A.Y.X.Y., M.K., P.C.A., M.V.V., S.E.B., M.K.K.), University of Toronto; ICES (A.Y.X.Y., M.K., P.C.A., M.R., J.F., J.P., M.V.V., S.E.B., R.H.S., M.K.K.), Toronto; Department of Clinical Neurosciences, Community Health Sciences, and Hotchkiss Brain Institute (E.E.S.), University of Calgary; Department of Medicine (General Internal Medicine) (M.K., M.K.K.), University of Toronto-University Health Network; and Toronto Health Economics and Technology Assessment (M.K.), Canada
| | - Mohammed Rashid
- From the Department of Medicine (Neurology), Sunnybrook Health Sciences Centre (A.Y.X.Y., M.V.V., R.H.S.), and Institute of Health Policy, Management, and Evaluation (A.Y.X.Y., M.K., P.C.A., M.V.V., S.E.B., M.K.K.), University of Toronto; ICES (A.Y.X.Y., M.K., P.C.A., M.R., J.F., J.P., M.V.V., S.E.B., R.H.S., M.K.K.), Toronto; Department of Clinical Neurosciences, Community Health Sciences, and Hotchkiss Brain Institute (E.E.S.), University of Calgary; Department of Medicine (General Internal Medicine) (M.K., M.K.K.), University of Toronto-University Health Network; and Toronto Health Economics and Technology Assessment (M.K.), Canada
| | - Jiming Fang
- From the Department of Medicine (Neurology), Sunnybrook Health Sciences Centre (A.Y.X.Y., M.V.V., R.H.S.), and Institute of Health Policy, Management, and Evaluation (A.Y.X.Y., M.K., P.C.A., M.V.V., S.E.B., M.K.K.), University of Toronto; ICES (A.Y.X.Y., M.K., P.C.A., M.R., J.F., J.P., M.V.V., S.E.B., R.H.S., M.K.K.), Toronto; Department of Clinical Neurosciences, Community Health Sciences, and Hotchkiss Brain Institute (E.E.S.), University of Calgary; Department of Medicine (General Internal Medicine) (M.K., M.K.K.), University of Toronto-University Health Network; and Toronto Health Economics and Technology Assessment (M.K.), Canada
| | - Joan Porter
- From the Department of Medicine (Neurology), Sunnybrook Health Sciences Centre (A.Y.X.Y., M.V.V., R.H.S.), and Institute of Health Policy, Management, and Evaluation (A.Y.X.Y., M.K., P.C.A., M.V.V., S.E.B., M.K.K.), University of Toronto; ICES (A.Y.X.Y., M.K., P.C.A., M.R., J.F., J.P., M.V.V., S.E.B., R.H.S., M.K.K.), Toronto; Department of Clinical Neurosciences, Community Health Sciences, and Hotchkiss Brain Institute (E.E.S.), University of Calgary; Department of Medicine (General Internal Medicine) (M.K., M.K.K.), University of Toronto-University Health Network; and Toronto Health Economics and Technology Assessment (M.K.), Canada
| | - Manav V Vyas
- From the Department of Medicine (Neurology), Sunnybrook Health Sciences Centre (A.Y.X.Y., M.V.V., R.H.S.), and Institute of Health Policy, Management, and Evaluation (A.Y.X.Y., M.K., P.C.A., M.V.V., S.E.B., M.K.K.), University of Toronto; ICES (A.Y.X.Y., M.K., P.C.A., M.R., J.F., J.P., M.V.V., S.E.B., R.H.S., M.K.K.), Toronto; Department of Clinical Neurosciences, Community Health Sciences, and Hotchkiss Brain Institute (E.E.S.), University of Calgary; Department of Medicine (General Internal Medicine) (M.K., M.K.K.), University of Toronto-University Health Network; and Toronto Health Economics and Technology Assessment (M.K.), Canada
| | - Susan E Bronskill
- From the Department of Medicine (Neurology), Sunnybrook Health Sciences Centre (A.Y.X.Y., M.V.V., R.H.S.), and Institute of Health Policy, Management, and Evaluation (A.Y.X.Y., M.K., P.C.A., M.V.V., S.E.B., M.K.K.), University of Toronto; ICES (A.Y.X.Y., M.K., P.C.A., M.R., J.F., J.P., M.V.V., S.E.B., R.H.S., M.K.K.), Toronto; Department of Clinical Neurosciences, Community Health Sciences, and Hotchkiss Brain Institute (E.E.S.), University of Calgary; Department of Medicine (General Internal Medicine) (M.K., M.K.K.), University of Toronto-University Health Network; and Toronto Health Economics and Technology Assessment (M.K.), Canada
| | - Richard H Swartz
- From the Department of Medicine (Neurology), Sunnybrook Health Sciences Centre (A.Y.X.Y., M.V.V., R.H.S.), and Institute of Health Policy, Management, and Evaluation (A.Y.X.Y., M.K., P.C.A., M.V.V., S.E.B., M.K.K.), University of Toronto; ICES (A.Y.X.Y., M.K., P.C.A., M.R., J.F., J.P., M.V.V., S.E.B., R.H.S., M.K.K.), Toronto; Department of Clinical Neurosciences, Community Health Sciences, and Hotchkiss Brain Institute (E.E.S.), University of Calgary; Department of Medicine (General Internal Medicine) (M.K., M.K.K.), University of Toronto-University Health Network; and Toronto Health Economics and Technology Assessment (M.K.), Canada
| | - Moira K Kapral
- From the Department of Medicine (Neurology), Sunnybrook Health Sciences Centre (A.Y.X.Y., M.V.V., R.H.S.), and Institute of Health Policy, Management, and Evaluation (A.Y.X.Y., M.K., P.C.A., M.V.V., S.E.B., M.K.K.), University of Toronto; ICES (A.Y.X.Y., M.K., P.C.A., M.R., J.F., J.P., M.V.V., S.E.B., R.H.S., M.K.K.), Toronto; Department of Clinical Neurosciences, Community Health Sciences, and Hotchkiss Brain Institute (E.E.S.), University of Calgary; Department of Medicine (General Internal Medicine) (M.K., M.K.K.), University of Toronto-University Health Network; and Toronto Health Economics and Technology Assessment (M.K.), Canada
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23
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Grau AJ, Dienlin S, Bartig D, Maier W, Buggle F, Becher H. Regional Deprivation, Stroke Incidence, and Stroke Care. DEUTSCHES ARZTEBLATT INTERNATIONAL 2021; 118:397-402. [PMID: 34304754 DOI: 10.3238/arztebl.m2021.0149] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 12/07/2020] [Accepted: 02/04/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND Regional deprivation can increase the risk of illness and adversely affect care outcomes. In this study, we investigated for the German state of Rhineland-Palatinate whether spatial-structural disadvantages are associated with an increased frequency of ischemic stroke and with less favorable care outcomes. METHODS We compared billing data from DRG statistics (2008-2017) and quality assurance data (2017) for acute ischemic stroke with the German Index of Multiple Deprivation 2010 (GIMD 2010) for the 36 districts (Landkreise) and independent cities (i.e., cities not belonging to a district) in Rhineland-Palatinate using correlation analyses, a Poisson regression analysis, and logistic regression analyses. RESULTS The age-standardized stroke rates (ASR) ranged from 122 to 209 per 100 000 inhabitants, while the GIMD 2010 ranged from 4.6 to 47.5; the two values were positively correlated (Spearman's ρ = 0.47; 95% confidence interval [0.16; 0.85]). In 2017, mechanical thrombectomies were performed more commonly (5.7%) in the first GIMD 2010 quartile of the regional areas (i.e., in the least deprived areas) than in the remaining quartiles (4.2-4.6%). The intravenous thrombolysis rates showed no differences from one GIMD 2010 quartile to another. Severe neurological deficits (National Institutes of Health Stroke Scale ≥ 5) on admission to the hospital were slightly more common in the fourth quartile (i.e., in the most deprived areas), while antiplatelet drugs and statins were somewhat less commonly ordered on discharge in those areas than in the first quartile. CONCLUSION These findings document a relationship between regional deprivation and the occurrence of acute ischemic stroke. Poorer GIMD 2010 scores were associated with worse care outcomes in a number of variables, but the absolute differences were small.
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Affiliation(s)
- Armin J Grau
- Department of Neurology, Ludwigshafen Hospital, Ludwigshafen; Quality Assurance Agency of Rhineland-Palatinate, Mainz; DRG Market, Osnabrück; Helmholtz Center Munich - German Research Center for Health and the Environment (Ltd), Institute for Health Economics and Management in Healthcare, Neuherberg; Oberwallis Hospital Center, Visp, Switzerland; Institute for Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg
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24
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Yu AYX, Krahn M, Austin PC, Rashid M, Fang J, Porter J, Vyas MV, Bronskill SE, Smith EE, Swartz RH, Kapral MK. Sex differences in direct healthcare costs following stroke: a population-based cohort study. BMC Health Serv Res 2021; 21:619. [PMID: 34187462 PMCID: PMC8240191 DOI: 10.1186/s12913-021-06669-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 06/21/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The economic burden of stroke on the healthcare system has been previously described, but sex differences in healthcare costs have not been well characterized. We described the direct person-level healthcare cost in men and women as well as the various health settings in which costs were incurred following stroke. METHODS In this population-based cohort study of patients admitted to hospital with stroke between 2008 and 2017 in Ontario, Canada, we used linked administrative data to calculate direct person-level costs in Canadian dollars in the one-year following stroke. We used a generalized linear model with a gamma distribution and a log link function to compare costs in women and men with and without adjustment for baseline clinical differences. We also assessed for an interaction between age and sex using restricted cubic splines to model the association of age with costs. RESULTS We identified 101,252 patients (49% were women, median age [Q1-Q3] was 76 years [65-84]). Unadjusted costs following stroke were higher in women compared to men (mean ± standard deviation cost was $54,012 ± 54,766 for women versus $52,829 ± 59,955 for men, and median cost was $36,703 [$16,496-$72,227] for women versus $32,903 [$15,485-$66,007] for men). However, after adjustment, women had 3% lower costs compared to men (relative cost ratio and 95% confidence interval 0.97 [0.96,0.98]). The lower cost in women compared to men was most prominent among people aged over 85 years (p for interaction = 0.03). Women incurred lower costs than men in outpatient care and rehabilitation, but higher costs in complex continuing care, long-term care, and home care. CONCLUSIONS Patterns of resource utilization and direct medical costs were different between men and women after stroke. Our findings inform public payers of the drivers of costs following stroke and suggest the need for sex-based cost-effectiveness evaluation of stroke interventions with consideration of costs in all care settings.
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Affiliation(s)
- Amy Y X Yu
- Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, 2075 Bayview Ave, Toronto, Ontario, Canada.
- ICES, Toronto, Ontario, Canada.
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada.
| | - Murray Krahn
- ICES, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine (General Internal Medicine), University of Toronto-University Health Network, Toronto, Ontario, Canada
- Toronto Health Economics and Technology Assessment, Toronto, Ontario, Canada
| | - Peter C Austin
- ICES, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | | | | | | | - Manav V Vyas
- Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, 2075 Bayview Ave, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Susan E Bronskill
- ICES, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Eric E Smith
- Department of Clinical Neurosciences, Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Richard H Swartz
- Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, 2075 Bayview Ave, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
| | - Moira K Kapral
- ICES, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine (General Internal Medicine), University of Toronto-University Health Network, Toronto, Ontario, Canada
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25
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McIntyre RS, Millson B, Power GS. Burden of Treatment Resistant Depression (TRD) in patients with major depressive disorder in Ontario using Institute for Clinical Evaluative Sciences (ICES) databases: Economic burden and healthcare resource utilization. J Affect Disord 2020; 277:30-38. [PMID: 32791390 DOI: 10.1016/j.jad.2020.07.045] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 06/04/2020] [Accepted: 07/05/2020] [Indexed: 01/07/2023]
Abstract
INTRODUCTION The burden of treatment-resistant depression (TRD) in Canada requires empirical characterization to better inform clinicians and policy decision-making in mental health. Towards this aim, this study utilized the Institute for Clinical Evaluative Sciences (ICES) databases to quantify the economic burden and resource utilization of Patients with TRD in Ontario. METHODS TRD, Non-TRD Major Depressive Disorder (Non-TRD MDD) and Non-MDD cohorts were selected from the ICES databases between April 2006-March 2015 and followed-up for at least two years. TRD was defined as a minimum of two treatment failures within one-year of the index MDD diagnosis. Non-TRD and Non-MDD patients were matched with patients with TRD to analyze costs, resource utilization, and demographic information. RESULTS Out of 277 patients with TRD identified, the average age was 52 years (SD 16) and 53% were female. Compared to Non-TRD, the patients with TRD had more all-cause visits to outpatient (38.2 vs. 24.2) and emergency units (2.7 vs. 2.0) and more depression-related visits to GPs (3.06 vs. 1.63) and psychiatrists (5.88 vs. 1.95) (all p < 0.05). The average two-year cost for TRD patients was $20,998 (CAD). LIMITATIONS This study included patients with only public plan coverage; therefore, overall TRD population and cash and private claims were not captured. CONCLUSIONS Patients with TRD exhibit a significantly higher demand on healthcare resources and higher overall payments compared to Non-TRD patients. The findings suggest that there are current challenges in adequately managing this difficult-to-treat patient group and there remains a high unmet need for new therapies.
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Affiliation(s)
- Roger S McIntyre
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Department of Pharmacology, University of Toronto, Toronto, ON, Canada; Mood Disorders Psychopharmacology Unit, University Health Network, 399 Bathurst Street, Toronto M5T2S8, ON, Canada.
| | - Brad Millson
- IQVIA, Health Access and Outcomes, Kirkland, Quebec, Canada
| | - G Sarah Power
- IQVIA, Health Access and Outcomes, Kirkland, Quebec, Canada
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26
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Béjot Y, Bourredjem A, Mimeau E, Joux J, Lannuzel A, Misslin-Tritsch C, Bonithon-Kopp C, Rochemont D, Nacher M, Cabie A, Lalanne Mistrih ML, Fournel I. Social deprivation and 1-year survival after stroke: a prospective cohort study. Eur J Neurol 2020; 28:800-808. [PMID: 33098727 DOI: 10.1111/ene.14614] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 10/15/2020] [Indexed: 11/29/2022]
Abstract
BACKGROUND Social deprivation may have a deleterious influence on post-stroke outcomes, but available data in the literature are mixed. AIM The aim of this cohort study was to evaluate the impact of social deprivation on 1-year survival in patients with first-ever stroke. METHODS Social deprivation was assessed at individual level with the EPICES score, a validated multidimensional questionnaire, in 1312 patients with ischemic stroke and 228 patients with spontaneous intracerebral hemorrhage, who were prospectively enrolled in six French study centers. Baseline characteristics including stroke severity and pre-stroke functional status were collected. Multivariable Cox models were generated to evaluate the associations between social deprivation and survival at 12 months in ischemic stroke and intracerebral hemorrhage separately. RESULTS A total of 819 patients (53.2%) were socially deprived (EPICES score ≥ 30.17). In ischemic stroke, mortality at 12 months was higher in deprived than in non-deprived patients (16% vs. 11%, p = 0.006). In multivariable analyses, there was no association between deprivation and death occurring within the first 90 days following ischemic stroke (adjusted hazard ratio [aHR] 0.81, 95% CI 0.54-1.22, p = 0.32). In contrast, an excess in mortality was observed between 90 days and 12 months in deprived compared with non-deprived patients (aHR 1.97, 95% CI 1.14-3.42, p = 0.016). In patients with intracerebral hemorrhage, mortality at 12 months did not significantly differ according to deprivation status. CONCLUSIONS Social deprivation was associated with delayed mortality in ischemic stroke patients only and, although the exact underlying mechanisms are still to be identified, our findings suggest that deprived patients in particular may benefit from an optimization of post-stroke care.
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Affiliation(s)
- Yannick Béjot
- Dijon Stroke Registry, EA7460, Pathophysiology and Epidemiology of Cerebro-Cardiovascular diseases (PEC2), University Hospital of Dijon, University of Burgundy, Dijon, France
| | - Abderrahmane Bourredjem
- INSERM, CIC1432, Clinical Epidemiology Unit, Dijon, France.,Clinical Investigation Centre, Clinical Epidemiology/Clinical Trials Unit, Dijon-Bourgogne University Hospital, Dijon, France
| | - Emmanuelle Mimeau
- Emergency Department, Hospital Andrée Rosemon, Cayenne, French Guiana, France
| | - Julien Joux
- Neurology Department, University Hospital of Martinique, Fort-de-France, Martinique, France
| | - Annie Lannuzel
- Neurology Department, University Hospital of Pointe-à-Pitre, Pointe-à-Pitre, France.,University of West Indies, Pointe-à-Pitre, France.,INSERM U 1127, CNRS, UMR 7225, Institute for Brain and Spinal Cord Disorders, ICM, Sorbonne University, Paris, France.,INSERM CIC1424, University Hospital of Pointe-à-Pitre, Pointe à Pitre, France
| | | | - Claire Bonithon-Kopp
- INSERM, CIC1432, Clinical Epidemiology Unit, Dijon, France.,Clinical Investigation Centre, Clinical Epidemiology/Clinical Trials Unit, Dijon-Bourgogne University Hospital, Dijon, France
| | - Devi Rochemont
- INSERM CIC1424, Hospital Andrée Rosemon, Cayenne, French Guiana, France
| | - Mathieu Nacher
- INSERM CIC1424, Hospital Andrée Rosemon, Cayenne, French Guiana, France
| | - André Cabie
- INSERM CIC1424, University Hospital of Martinique, Fort-de-France, Martinique, France.,Université des Antilles, EA4537, Fort-de-France, France
| | | | - Isabelle Fournel
- INSERM, CIC1432, Clinical Epidemiology Unit, Dijon, France.,Clinical Investigation Centre, Clinical Epidemiology/Clinical Trials Unit, Dijon-Bourgogne University Hospital, Dijon, France
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27
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Jeong S, Cho SI, Kong SY. Long-Term Effect of Income Level on Mortality after Stroke: A Nationwide Cohort Study in South Korea. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17228348. [PMID: 33187353 PMCID: PMC7697688 DOI: 10.3390/ijerph17228348] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 11/08/2020] [Accepted: 11/09/2020] [Indexed: 11/16/2022]
Abstract
We investigated whether income level has long-term effects on mortality rate in stroke patients and whether this varies with time after the first stroke event, using the National Health Insurance Service National Sample Cohort data from 2002 to 2015 in South Korea. The study population was new-onset stroke patients ≥18 years of age. Patients were categorized into Category (1) insured employees and Category (2) insured self-employed/Medical Aid beneficiaries. Each category was divided into three and four income level groups, retrospectively. The study population comprised of 11,668 patients. Among the Category 1 patients (n = 7720), the low-income group's post-stroke mortality was 1.15-fold higher than the high-income group. Among the Category 2 patients (n = 3948), the lower income groups had higher post-stroke mortality than the high-income group (middle-income, aOR (adjusted odds ratio) 1.29; low-income, aOR 1.70; Medical Aid beneficiaries, aOR 2.19). In this category, the lower income groups' post-stroke mortality risks compared to the high-income group were highest at 13-36 months after the first stroke event(middle-income, aOR 1.52; low-income, aOR 2.31; Medical Aid beneficiaries, aOR 2.53). Medical Aid beneficiaries had a significantly higher post-stroke mortality risk than the high-income group at all time points.
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Affiliation(s)
- Seungmin Jeong
- Department of Preventive Medicine, Kangwon National University Hospital, Chuncheon-si, Gangwon-do 24289, Korea;
- Department of Public Health Science, Graduate School of Public Health, and Institute of Health and Environment, Seoul National University, Seoul 08826, Korea
| | - Sung-il Cho
- Department of Public Health Science, Graduate School of Public Health, and Institute of Health and Environment, Seoul National University, Seoul 08826, Korea
- Correspondence:
| | - So Yeon Kong
- Strategic Research, Laerdal Medical, 4002 Stavanger, Norway;
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28
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Abstract
BACKGROUND Gun injury accounts for substantial acute mortality worldwide and many others survive with lingering disabilities. We investigated whether additional health losses beyond mortality can also arise for patients who survive with long-term disability. METHODS We conducted a population-based individual patient analysis of adults injured by firearms who had received emergency medical care in Ontario, Canada, from Apr. 1, 2002, to Apr. 1, 2019. Longitudinal cohort analyses were evaluated through deterministic linkages of individual electronic patient files. The primary outcome was death or subsequent application for long-term disability in the years after hospital discharge. RESULTS In total, 8313 patients were injured from firearms, of which 3020 were injured from intentional incidents and 5293 were injured from unintentional incidents. A total of 2657 (88.0%) patients with intentional gun injury and 5089 (96.1%) patients with unintentional gun injury survived initial injuries. After a mean 7.75 years of follow-up, patients surviving intentional injuries had a disability rate twice as high as patients surviving unintentional injuries (19.7% v. 10.1%, p < 0.001), equivalent to a hazard ratio of 2.01 (95% confidence interval 1.80-2.25). The higher risk of long-term disability for survivors after intentional gun injury was not explained by demographic characteristics, extended to survivors treated and released from the emergency department, and was observed regardless of whether the incident was self-inflicted or from interpersonal assault. Half of the disability cases were identified after the first year. Additional predictors of long-term disability included a lower socioeconomic status, an urban home location, arrival by ambulance transport, a history of mental illness and a diagnosis of substance use disorder. INTERPRETATION Our study shows that gun death statistics underestimate the extent of health losses from long-term disability, particularly for those with intentional injuries. Additional and sustainable follow-up medical care might improve patient outcomes.
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Affiliation(s)
- Sheharyar Raza
- Department of Medicine (Raza, Redelmeier), University of Toronto; Evaluative Clinical Sciences (Raza, Thiruchelvam, Redelmeier), Sunnybrook Research Institute; ICES in Ontario (Thiruchelvam); Institute of Health Policy, Management and Evaluation (Redelmeier), Toronto, Ont
| | - Deva Thiruchelvam
- Department of Medicine (Raza, Redelmeier), University of Toronto; Evaluative Clinical Sciences (Raza, Thiruchelvam, Redelmeier), Sunnybrook Research Institute; ICES in Ontario (Thiruchelvam); Institute of Health Policy, Management and Evaluation (Redelmeier), Toronto, Ont
| | - Donald A Redelmeier
- Department of Medicine (Raza, Redelmeier), University of Toronto; Evaluative Clinical Sciences (Raza, Thiruchelvam, Redelmeier), Sunnybrook Research Institute; ICES in Ontario (Thiruchelvam); Institute of Health Policy, Management and Evaluation (Redelmeier), Toronto, Ont.
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29
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Lindmark A, Norrving B, Eriksson M. Socioeconomic status and survival after stroke - using mediation and sensitivity analyses to assess the effect of stroke severity and unmeasured confounding. BMC Public Health 2020; 20:554. [PMID: 32334556 PMCID: PMC7183587 DOI: 10.1186/s12889-020-08629-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 04/01/2020] [Indexed: 02/03/2023] Open
Abstract
Background Although it has been established that low socioeconomic status is linked to increased risk of death after stroke, the mechanisms behind this link are still unclear. In this study we aim to shed light on the relationship between income level and survival after stroke by investigating the extent to which differences in stroke severity account for differences in survival. Methods The study was based on patients registered in Riksstroke (the Swedish stroke register) with first time ischemic stroke (n = 51,159) or intracerebral hemorrhage (n = 6777) in 2009–2012. We used causal mediation analysis to decompose the effect of low income on 3-month case fatality into a direct effect and an indirect effect due to stroke severity. Since causal mediation analysis relies on strong assumptions regarding residual confounding of the relationships involved, recently developed methods for sensitivity analysis were used to assess the robustness of the results to unobserved confounding. Results After adjustment for observed confounders, patients in the lowest income tertile had a 3.2% (95% CI: 0.9–5.4%) increased absolute risk of 3-month case fatality after intracerebral hemorrhage compared to patients in the two highest tertiles. The corresponding increase for case fatality after ischemic stroke was 1% (0.4–1.5%). The indirect effect of low income, mediated by stroke severity, was 1.8% (0.7–2.9%) for intracerebral hemorrhage and 0.4% (0.2–0.6%) for ischemic stroke. Unobserved confounders affecting the risk of low income, more severe stroke and case fatality in the same directions could explain the indirect effect, but additional adjustment to observed confounders did not alter the conclusions. Conclusions This study provides evidence that as much as half of income-related inequalities in stroke case fatality is mediated through differences in stroke severity. Targeting stroke severity could therefore lead to a substantial reduction in inequalities and should be prioritized. Sensitivity analysis suggests that additional adjustment for a confounder of greater impact than age would be required to considerably alter our conclusions.
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Affiliation(s)
- Anita Lindmark
- Department of Statistics, Umeå School of Business, Economics and Statistics, Umeå University, Umeå, Sweden.
| | - Bo Norrving
- Department of Neurology, Lund University, Lund, Sweden
| | - Marie Eriksson
- Department of Statistics, Umeå School of Business, Economics and Statistics, Umeå University, Umeå, Sweden
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30
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Chen G, Wang A, Li S, Zhao X, Wang Y, Li H, Meng X, Knibbs LD, Bell ML, Abramson MJ, Wang Y, Guo Y. Long-Term Exposure to Air Pollution and Survival After Ischemic Stroke. Stroke 2019; 50:563-570. [PMID: 30741622 DOI: 10.1161/strokeaha.118.023264] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose- China bears a heavy burden of stroke because of its large population of elderly people and the propensity for stroke. Previous studies have examined the association between air pollution and stroke mortality or hospital admission. However, the global evidence for adverse effects of air pollution on survival after stroke is scarce. Methods- We used the first national hospital-based prospective registry cohort of stroke in China, which included 12 291 ischemic stroke patients who visited hospitals during 2007 to 2008. All patients were followed for 1-year poststroke. Deaths during the follow-up period were recorded. Participants' 3-year prestroke exposures to ambient PM1, PM2.5, PM10 (particulate matter with aerodynamic diameters ≤1, ≤2.5, and ≤10 μm, respectively) and NO2 (nitrogen dioxide) were estimated by machine learning algorithms with satellite remote sensing, land use information, and meteorological data. Cox proportional hazards models were used to examine the association between air pollution and survival after ischemic stroke. Results- In total, 1649 deaths were identified during the 1-year follow-up period. After controlling for potential confounders, significant associations were observed between exposure to PM1 and PM2.5 and incident fatal ischemic stroke. The corresponding hazard ratios and 95% CIs associated with 10 µg/m3 increase in PM1 and PM2.5 were 1.05 (1.02-1.09) and 1.03 (1.00-1.06), respectively. No significant association was observed for PM10 or NO2 (hazard ratios and 95% CIs, 1.01 [1.00-1.03] and 1.03 [0.99-1.06], respectively). Higher hazard ratios (and 95% CIs) were observed for male, elderly and obese individuals. Conclusions- Prestroke exposure to PM1 and PM2.5 was associated with increased incident fatal ischemic stroke in the year following an ischemic stroke in China. Improved air quality may be beneficial for people to recover from stroke.
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Affiliation(s)
- Gongbo Chen
- From the Department of Global Health, School of Health Sciences, Wuhan University, China (G.C.).,Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia (G.C., S.L., M.J.A., Y.G.)
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (A.W., X.Z., Yilong Wang, H.L., X.M., Yongjun Wang).,China National Clinical Research Center for Neurological Diseases, Beijing (A.W., X.Z., Y.-L.W., H.L., X.M., Y.-J.W.)
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia (G.C., S.L., M.J.A., Y.G.)
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (A.W., X.Z., Yilong Wang, H.L., X.M., Yongjun Wang).,China National Clinical Research Center for Neurological Diseases, Beijing (A.W., X.Z., Y.-L.W., H.L., X.M., Y.-J.W.)
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (A.W., X.Z., Yilong Wang, H.L., X.M., Yongjun Wang).,China National Clinical Research Center for Neurological Diseases, Beijing (A.W., X.Z., Y.-L.W., H.L., X.M., Y.-J.W.)
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (A.W., X.Z., Yilong Wang, H.L., X.M., Yongjun Wang).,China National Clinical Research Center for Neurological Diseases, Beijing (A.W., X.Z., Y.-L.W., H.L., X.M., Y.-J.W.)
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (A.W., X.Z., Yilong Wang, H.L., X.M., Yongjun Wang).,China National Clinical Research Center for Neurological Diseases, Beijing (A.W., X.Z., Y.-L.W., H.L., X.M., Y.-J.W.)
| | - Luke D Knibbs
- School of Public Health, The University of Queensland, Brisbane, Australia (L.D.K.)
| | - Michelle L Bell
- School of Forestry and Environmental Studies, Yale University, New Haven, CT (M.L.B.)
| | - Michael J Abramson
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia (G.C., S.L., M.J.A., Y.G.)
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (A.W., X.Z., Yilong Wang, H.L., X.M., Yongjun Wang).,China National Clinical Research Center for Neurological Diseases, Beijing (A.W., X.Z., Y.-L.W., H.L., X.M., Y.-J.W.)
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia (G.C., S.L., M.J.A., Y.G.)
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Yu AYX, Fang J, Porter J, Austin PC, Smith EE, Kapral MK. Hospital-based cohort study to determine the association between home-time and disability after stroke by age, sex, stroke type and study year in Canada. BMJ Open 2019; 9:e031379. [PMID: 31719083 PMCID: PMC6858198 DOI: 10.1136/bmjopen-2019-031379] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE Home-time is an emerging patient-centred stroke outcome metric, but it is not well described in the population. We aimed to determine the association between 90-day home-time and global disability after stroke. We hypothesised that longer home-time would be associated with less disability. DESIGN Hospital-based cohort study of patients with ischaemic stroke or intracerebral haemorrhage admitted to an acute care hospital between 1 April 2002 and 31 March 2013. SETTING All regional stroke centres and a simple random sample of patients from all other hospitals across the province of Ontario, Canada. PARTICIPANTS We included 39 417 adult patients (84% ischaemic, 16% haemorrhage), 53% male, with a median age of 74 years. We excluded non-residents of Ontario, patients without a valid health insurance number, patients discharged against medical advice or those who failed to return from a pass, patients living in a long-term care centre at baseline and stroke events occurring in-hospital. PRIMARY OUTCOME MEASURE Association between 90-day home-time, defined as the number of days spent at home in the first 90 days after stroke, obtained using linked administrative data and modified Rankin Scale score at discharge. RESULTS Compared with people with no disability, those with minimal disability had less home-time (adjusted rate ratio (aRR) 0.96, 95% CI 0.93 to 0.98) and those with the most severe disability had the least home-time (aRR 0.05, 95% CI 0.04 to 0.05). We found no clinically relevant modification by stroke type, sex or study year. However, for a given level of disability, older patients experienced less home-time compared with younger patients. CONCLUSIONS Our results provide content validity for home-time to be used to monitor stroke outcomes in large populations or to study temporal trends. Older patients experience less home-time for a given level of disability, suggesting the need for stratification by age.
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Affiliation(s)
- Amy Ying Xin Yu
- Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | - Jiming Fang
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | - Joan Porter
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | - Peter C Austin
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | - Eric E Smith
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Moira K Kapral
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
- Department of Medicine (General Internal Medicine), University of Toronto, Toronto, Ontario, Canada
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Vivanco-Hidalgo RM, Ribera A, Abilleira S. Association of Socioeconomic Status With Ischemic Stroke Survival. Stroke 2019; 50:3400-3407. [PMID: 31610765 DOI: 10.1161/strokeaha.119.026607] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Background and Purpose- The aim of the study was to determine the impact of individuals' socioeconomic status and their Primary Care Service Area Socioeconomic Index on survival after ischemic stroke. Methods- We conducted a nationwide population-based cohort study in Catalonia, Spain. We included all patients with first ischemic stroke admitted to a public hospital between January 1, 2015, and December 31, 2016. We measured both individual socioeconomic status (categorized as exempts, <€18 000 [$US 20 468] income per year, and >€18 000 income per year) and Primary Care Service Area Socioeconomic Index (from 0 to 100 categorized in quartiles). We used mixed-effects logistic and survival models to estimate odds ratios and hazard ratios for the short- (30 days) and the long-term (3 years) all-cause case fatality rates by individuals' socioeconomic status groups. Results- The cohort consisted of 16 344 ischemic stroke patients with 24 638 person-years of follow-up. We did not find an association between the lowest socioeconomic individual status and short-term survival (odds ratio, 1.03; 95% CI, 0.76-1.40), although we found it in patients with <€18 000 income/year (odds ratio, 1.26; 95% CI, 1.10-1.45). At long-term, after adjustment, we observed a gradient in mortality risk with decreasing individual socioeconomic status (hazard ratio, 1.52; 95% CI, 1.30-1.77). The Primary Care Service Area Socioeconomic Index had only an influence on short-term survival (odds ratio, 1.19; 95% CI, 1.03-1.37). Conclusions- Individuals' socioeconomic status was associated with short- and long-term survival in patients with ischemic stroke. Conversely, Primary Care Service Area Socioeconomic Index measures had an influence only in short-term survival. A small fraction of this association is due to differences in comorbidity and cardiovascular risk factors. Interventions addressing both individuals' and primary care service socioeconomic aspects might eventually affect differently short- and long-term survival.
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Affiliation(s)
| | - Aida Ribera
- Cardiovascular Epidemiology Unit, Cardiology Department, Hospital Vall d'Hebron, Barcelona, Spain (A.R.).,CIBER Epidemiología y Salud Pública, Barcelona, Spain (A.R.)
| | - Sònia Abilleira
- Stroke Program, Agency for Health Quality and Assessment of Catalonia CIBER Epidemiología y Salud Pública, Barcelona, Spain (S.A.)
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Yu AYX, Fang J, Kapral MK. One-Year Home-Time and Mortality After Thrombolysis Compared With Nontreated Patients in a Propensity-Matched Analysis. Stroke 2019; 50:3488-3493. [PMID: 31570086 DOI: 10.1161/strokeaha.119.026922] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose- Intravenous thrombolysis with r-tPA (recombinant tissue-type plasminogen activator) is associated with improved early functional outcome after stroke, but its long-term effects are less understood. We aimed to determine the association between r-tPA and 1-year outcomes after stroke. Methods- We used the Ontario Stroke Registry to identify patients diagnosed with ischemic stroke between 2002 and 2013 in Ontario, Canada, their baseline characteristics, and whether they received r-tPA. We used propensity score methods to match patients treated with r-tPA to nontreated patients. The primary outcome was 1-year home-time, defined as the number of days spent outside of any healthcare institutions in the first 365 days after the index date of admission. Secondary outcomes were admission to a nursing home and all-cause mortality in the first year. Outcomes were determined using linked administrative data. We used paired t tests to compare mean home-time days and Cox proportional hazards models for mortality and nursing home admission to estimate hazard ratios and 95% CI. Results- All 4449 patients treated with r-tPA in the registry were matched to nontreated patients. Compared with nontreated patients, those treated with r-tPA experienced more time at home in the first year (mean±SD was 248.9 days±137.2 treated versus 239.4 days±139.0 nontreated, P=0.005) and were less likely to be admitted to nursing homes (9.4% treated versus 12.2% nontreated; hazard ratio, 0.84; 95% CI, 0.78-0.91). One-year all-cause mortality was similar between the 2 groups (13.2% treated versus 12.4% nontreated; hazard ratio, 1.07; 95% CI, 0.96-1.20). Conclusions- Despite similar mortality, patients who received r-tPA spent more time at home and were less likely to require nursing home admission in the first year after stroke compared with nontreated patients, suggesting long-term benefits and safety of this treatment.
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Affiliation(s)
- Amy Y X Yu
- From the Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, ON, Canada (A.Y.X.Y.).,ICES, Toronto, ON, Canada (A.Y.X.Y., J.F., M.K.K.)
| | - Jiming Fang
- ICES, Toronto, ON, Canada (A.Y.X.Y., J.F., M.K.K.)
| | - Moira K Kapral
- ICES, Toronto, ON, Canada (A.Y.X.Y., J.F., M.K.K.).,Department of Medicine (General Internal Medicine), University of Toronto-University Health Network, ON, Canada (M.K.K.)
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34
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Analysis of cerebrovascular disease mortality trends in Andalusia (1980–2014). NEUROLOGÍA (ENGLISH EDITION) 2019. [DOI: 10.1016/j.nrleng.2018.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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35
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Niklasson A, Herlitz J, Jood K. Socioeconomic disparities in prehospital stroke care. Scand J Trauma Resusc Emerg Med 2019; 27:53. [PMID: 31046804 PMCID: PMC6498576 DOI: 10.1186/s13049-019-0630-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2019] [Accepted: 04/17/2019] [Indexed: 12/14/2022] Open
Abstract
Background and purpose Recent studies have revealed socioeconomic disparities in stroke outcomes. Here, we investigated whether prehospital stroke care differs with respect to socioeconomic status (SES). Methods Consecutive stroke and TIA patients (n = 3006) admitted to stroke units at Sahlgrenska University Hospital, Gothenburg, Sweden, from 1 November 2014 to 31 July 2016, were included. Data on prehospital care were obtained from a local stroke register. Socioeconomic status was classified according to the average level of income and education within each patient’s neighbourhood (postcode area). Results The median system delay from calling the emergency medical communication centre (EMCC) to start of brain computed tomography on hospital arrival was 3 h 47 min (95% confidence interval (CI) 3 h 30 min to 4 h 05 min) for patients within the lowest SES tertile and 3 h 17 min (95% CI 3 h 00 min to 3 h 37 min) for the highest tertile (p < 0.05). Patients with a lower SES were less likely to receive the highest priority in the ambulance (p < 0.05) and had lower rates of prehospital recognition of stroke/TIA (p < 0.05) than those with a high SES. No inequities were found concerning EMCC prioritisation or the probability of ambulance transport. Conclusions We found socioeconomic inequities in prehospital stroke care which could affect the efficacy of acute stroke treatment. The ambulance nurses’ ability to recognise stroke/TIA may partly explain the observed inequities.
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Affiliation(s)
- Amanda Niklasson
- Institute of Neuroscience and Physiology, Department of Clinical Neuroscience, The Sahlgrenska Academy, University of Gothenburg, Blå Stråket 7, plan 3, SE-413 45, Gothenburg, Sweden.
| | - Johan Herlitz
- PreHospen - Centre for Prehospital Research, Faculty of Caring Science, Work Life and Social Welfare, University of Borås, Borås, Sweden
| | - Katarina Jood
- Institute of Neuroscience and Physiology, Department of Clinical Neuroscience, The Sahlgrenska Academy, University of Gothenburg, Blå Stråket 7, plan 3, SE-413 45, Gothenburg, Sweden
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Predictors of Direct Enteral Tube Placement After Acute Stroke. J Stroke Cerebrovasc Dis 2019; 28:191-197. [DOI: 10.1016/j.jstrokecerebrovasdis.2018.09.032] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Revised: 09/10/2018] [Accepted: 09/19/2018] [Indexed: 01/22/2023] Open
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Ali M, Salehnejad R, Mansur M. Hospital heterogeneity: what drives the quality of health care. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2018; 19:385-408. [PMID: 28439750 PMCID: PMC5978923 DOI: 10.1007/s10198-017-0891-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Accepted: 03/28/2017] [Indexed: 05/29/2023]
Abstract
A major feature of health care systems is substantial variation in health care quality across hospitals. The quality of stroke care widely varies across NHS hospitals. We investigate factors that may explain variations in health care quality using measures of quality of stroke care. We combine NHS trust data from the National Sentinel Stroke Audit with other data sets from the Office for National Statistics, NHS and census data to capture hospitals' human and physical assets and organisational characteristics. We employ a class of non-parametric methods to explore the complex structure of the data and a set of correlated random effects models to identify key determinants of the quality of stroke care. The organisational quality of the process of stroke care appears as a fundamental driver of clinical quality of stroke care. There are rich complementarities amongst drivers of quality of stroke care. The findings strengthen previous research on managerial and organisational determinants of health care quality.
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Affiliation(s)
- Manhal Ali
- University of Manchester, Manchester, UK
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38
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Bray BD, Paley L, Hoffman A, James M, Gompertz P, Wolfe CDA, Hemingway H, Rudd AG. Socioeconomic disparities in first stroke incidence, quality of care, and survival: a nationwide registry-based cohort study of 44 million adults in England. LANCET PUBLIC HEALTH 2018; 3:e185-e193. [PMID: 29550372 PMCID: PMC5887080 DOI: 10.1016/s2468-2667(18)30030-6] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Revised: 02/07/2018] [Accepted: 02/08/2018] [Indexed: 01/23/2023]
Abstract
BACKGROUND We aimed to estimate socioeconomic disparities in the incidence of hospitalisation for first-ever stroke, quality of care, and post-stroke survival for the adult population of England. METHODS In this cohort study, we obtained data collected by a nationwide register on patients aged 18 years or older hospitalised for first-ever acute ischaemic stroke or primary intracerebral haemorrhage in England from July 1, 2013, to March 31, 2016. We classified socioeconomic status at the level of Lower Super Output Areas using the Index of Multiple Deprivation, a neighbourhood measure of deprivation. Multivariable models were fitted to estimate the incidence of hospitalisation for first stroke (negative binomial), quality of care using 12 quality metrics (multilevel logistic), and all-cause 1 year case fatality (Cox proportional hazards). FINDINGS Of the 43·8 million adults in England, 145 324 were admitted to hospital with their first-ever stroke: 126 640 (87%) with ischaemic stroke, 17 233 (12%) with intracerebral haemorrhage, and 1451 (1%) with undetermined stroke type. We observed a socioeconomic gradient in the incidence of hospitalisation for ischaemic stroke (adjusted incidence rate ratio 2·0, 95% CI 1·7-2·3 for the most vs least deprived deciles) and intracerebral haemorrhage (1·6, 1·3-1·9). Patients from the lowest socioeconomic groups had first stroke a median of 7 years earlier than those from the highest (p<0·0001), and had a higher prevalence of pre-stroke disability and diabetes. Patients from lower socioeconomic groups were less likely to receive five of 12 care processes but were more likely to receive early supported discharge (adjusted odds ratio 1·14, 95% CI 1·07-1·22). Low socioeconomic status was associated with a 26% higher adjusted risk of 1-year mortality (adjusted hazard ratio 1·26, 95% CI 1·20-1·33, for highest vs lowest deprivation decile), but this gradient was largely attenuated after adjustment for the presence of pre-stroke diabetes, hypertension, and atrial fibrillation (1·11, 1·05-1·17). INTERPRETATION Wide socioeconomic disparities exist in the burden of ischaemic stroke and intracerebral haemorrhage in England, most notably in stroke hospitalisation risk and case fatality and, to a lesser extent, in the quality of health care. Reducing these disparities requires interventions to improve the quality of acute stroke care and address disparities in cardiovascular risk factors present before stroke. FUNDING NHS England and the Welsh Government.
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Affiliation(s)
- Benjamin D Bray
- Farr Institute of Health Informatics Research, University College London, London, UK.
| | - Lizz Paley
- Sentinel Stroke National Audit Programme, Royal College of Physicians, London, UK
| | - Alex Hoffman
- Sentinel Stroke National Audit Programme, Royal College of Physicians, London, UK
| | - Martin James
- Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Patrick Gompertz
- National Cardiovascular Intelligence Network, Public Health England, London, UK
| | - Charles D A Wolfe
- School of Population Health & Environmental Sciences, King's College London, London, UK
| | - Harry Hemingway
- Farr Institute of Health Informatics Research, University College London, London, UK
| | - Anthony G Rudd
- School of Population Health & Environmental Sciences, King's College London, London, UK
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Joundi RA, Saposnik G, Martino R, Fang J, Porter J, Kapral MK. Outcomes among patients with direct enteral vs nasogastric tube placement after acute stroke. Neurology 2018; 90:e544-e552. [PMID: 29367443 DOI: 10.1212/wnl.0000000000004962] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Accepted: 10/16/2017] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE To compare complications, disability, and long-term mortality of patients who received direct enteral tube vs nasogastric tube feeding alone after acute stroke. METHODS We used the Ontario Stroke Registry to identify patients who received direct enteral tubes (DET; gastrostomy or jejunostomy) or temporary nasogastric tubes (NGT) alone during hospital stay after acute ischemic stroke or intracerebral hemorrhage from July 1, 2003, to March 31, 2013. We used propensity matching to compare groups from discharge and evaluated discharge disability, institutionalization, complications, and mortality, with follow-up over 2 years, and with cumulative incidence functions used to account for competing risks. RESULTS Among 1,448 patients with DET placement who survived until discharge, 1,421 were successfully matched to patients with NGT alone. Patients with DET had reduced risk of death within 30 days after discharge (9.7% vs 15.3%; hazard ratio [HR] 0.61, 95% confidence interval [CI] 0.49-0.75), but this difference was eliminated after matching on length of stay and discharge disability (HR 0.90, 95% CI 0.70-1.17). Patients with DET had higher rates of severe disability at discharge (modified Rankin Scale score 4-5; 89.6% vs 78.4%), discharge to long-term care (38.0% vs 16.1%), aspiration pneumonia (14.4% vs 5.1%) and other complications, and mortality at 2 years (41.1% vs 35.9%). CONCLUSIONS Patients with DET placement after acute stroke have more severe disability at discharge compared to those with NGT placement alone, and associated higher rates of institutionalization, medical complications, and long-term mortality. These findings may inform goals of care discussions and decisions regarding long-term tube feeding after acute stroke.
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Affiliation(s)
- Raed A Joundi
- From the Division of Neurology (R.A.J.), Department of Medicine, Stroke Outcomes Research Unit, Division of Neurology, Department of Medicine, St. Michael's Hospital (G.S.), Institute of Health Policy, Management and Evaluation (G.S., M.K.K.), Department of Speech-Language Pathology (R.M.), Graduate Department of Rehabilitation Science (R.M.), and Division of General Internal Medicine (M.K.K.), Department of Medicine, University of Toronto; Health Care and Outcomes Research, Krembil Research Institute (R.M.), University Health Network; and Institute for Clinical Evaluative Sciences (ICES) (J.F., J.P., M.K.K., G.S.), Toronto, Canada
| | - Gustavo Saposnik
- From the Division of Neurology (R.A.J.), Department of Medicine, Stroke Outcomes Research Unit, Division of Neurology, Department of Medicine, St. Michael's Hospital (G.S.), Institute of Health Policy, Management and Evaluation (G.S., M.K.K.), Department of Speech-Language Pathology (R.M.), Graduate Department of Rehabilitation Science (R.M.), and Division of General Internal Medicine (M.K.K.), Department of Medicine, University of Toronto; Health Care and Outcomes Research, Krembil Research Institute (R.M.), University Health Network; and Institute for Clinical Evaluative Sciences (ICES) (J.F., J.P., M.K.K., G.S.), Toronto, Canada
| | - Rosemary Martino
- From the Division of Neurology (R.A.J.), Department of Medicine, Stroke Outcomes Research Unit, Division of Neurology, Department of Medicine, St. Michael's Hospital (G.S.), Institute of Health Policy, Management and Evaluation (G.S., M.K.K.), Department of Speech-Language Pathology (R.M.), Graduate Department of Rehabilitation Science (R.M.), and Division of General Internal Medicine (M.K.K.), Department of Medicine, University of Toronto; Health Care and Outcomes Research, Krembil Research Institute (R.M.), University Health Network; and Institute for Clinical Evaluative Sciences (ICES) (J.F., J.P., M.K.K., G.S.), Toronto, Canada
| | - Jiming Fang
- From the Division of Neurology (R.A.J.), Department of Medicine, Stroke Outcomes Research Unit, Division of Neurology, Department of Medicine, St. Michael's Hospital (G.S.), Institute of Health Policy, Management and Evaluation (G.S., M.K.K.), Department of Speech-Language Pathology (R.M.), Graduate Department of Rehabilitation Science (R.M.), and Division of General Internal Medicine (M.K.K.), Department of Medicine, University of Toronto; Health Care and Outcomes Research, Krembil Research Institute (R.M.), University Health Network; and Institute for Clinical Evaluative Sciences (ICES) (J.F., J.P., M.K.K., G.S.), Toronto, Canada
| | - Joan Porter
- From the Division of Neurology (R.A.J.), Department of Medicine, Stroke Outcomes Research Unit, Division of Neurology, Department of Medicine, St. Michael's Hospital (G.S.), Institute of Health Policy, Management and Evaluation (G.S., M.K.K.), Department of Speech-Language Pathology (R.M.), Graduate Department of Rehabilitation Science (R.M.), and Division of General Internal Medicine (M.K.K.), Department of Medicine, University of Toronto; Health Care and Outcomes Research, Krembil Research Institute (R.M.), University Health Network; and Institute for Clinical Evaluative Sciences (ICES) (J.F., J.P., M.K.K., G.S.), Toronto, Canada
| | - Moira K Kapral
- From the Division of Neurology (R.A.J.), Department of Medicine, Stroke Outcomes Research Unit, Division of Neurology, Department of Medicine, St. Michael's Hospital (G.S.), Institute of Health Policy, Management and Evaluation (G.S., M.K.K.), Department of Speech-Language Pathology (R.M.), Graduate Department of Rehabilitation Science (R.M.), and Division of General Internal Medicine (M.K.K.), Department of Medicine, University of Toronto; Health Care and Outcomes Research, Krembil Research Institute (R.M.), University Health Network; and Institute for Clinical Evaluative Sciences (ICES) (J.F., J.P., M.K.K., G.S.), Toronto, Canada.
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Song T, Pan Y, Chen R, Li H, Zhao X, Liu L, Wang C, Wang Y, Wang Y. Is there a correlation between socioeconomic disparity and functional outcome after acute ischemic stroke? PLoS One 2017; 12:e0181196. [PMID: 28746347 PMCID: PMC5528884 DOI: 10.1371/journal.pone.0181196] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Accepted: 06/27/2017] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND To investigate the impact of low socioeconomic status (SES), indicated by low level of education, occupation and income, on 3 months functional outcome after ischemic stroke. METHODS We analyzed data from the China National Stroke Registry (CNSR), a multicenter and prospective registry of consecutive patients with acute cerebrovascular events occurred between September 2007 and August 2008. 11226 patients with ischemic stroke had SES and clinical characteristics data collected at baseline and mRS measured as indicator of functional outcome in 3 months follow up. Multinomial and ordinal logistic regression models were performed to examine associations between SES and the functional outcome. RESULTS At 3 months after stroke, 5.3% of total patients had mRS scored at 5, 11.3% at score 4, 11.1% at score 3, 14.4% at score 2, 34.2% at score 1 and 23.7% at score 0. Compared to patients with educational level of ≥ 6 years and non-manual laboring, those < 6 years and manual laboring tended to have higher mRS score (P<0.001). Multinomial adjusted odds ratios (ORs) of outcome in manual workers were significantly increased (ORs from1.38 to 1.87), but OR in patients with less income was not significant. There were similar patterns of association The impact may be stronger in patients aged <65 years (P = 0.003, P<0.001 respectively) and being male (P = 0.001, P<0.001 respectively). CONCLUSIONS Our study provides evidence that people who are relatively more deprived in socioeconomic status suffer poorer outcome after ischemic stroke. The influence of low educational level and manual laboring can be more intensive than low income level on 3-month outcome. Health policy and service should target the deprived populations to reduce the public health burden in the society.
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Affiliation(s)
- Tian Song
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Yuesong Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Ruoling Chen
- Centre for Health and Social Care Improvement, Faculty of Education Health and Wellbeing, University of Wolverhampton, Wolverhampton, United Kingdom
- Post Graduate Academic Institute of Medicine, University of Wolverhampton, Wolverhampton, United Kingdom
- * E-mail: (YJW); (YLW); (RLC)
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Liping Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Chunxue Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- * E-mail: (YJW); (YLW); (RLC)
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- * E-mail: (YJW); (YLW); (RLC)
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Maddox TM, Albert NM, Borden WB, Curtis LH, Ferguson TB, Kao DP, Marcus GM, Peterson ED, Redberg R, Rumsfeld JS, Shah ND, Tcheng JE. The Learning Healthcare System and Cardiovascular Care: A Scientific Statement From the American Heart Association. Circulation 2017; 135:e826-e857. [DOI: 10.1161/cir.0000000000000480] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The learning healthcare system uses health information technology and the health data infrastructure to apply scientific evidence at the point of clinical care while simultaneously collecting insights from that care to promote innovation in optimal healthcare delivery and to fuel new scientific discovery. To achieve these goals, the learning healthcare system requires systematic redesign of the current healthcare system, focusing on 4 major domains: science and informatics, patient-clinician partnerships, incentives, and development of a continuous learning culture. This scientific statement provides an overview of how these learning healthcare system domains can be realized in cardiovascular disease care. Current cardiovascular disease care innovations in informatics, data uses, patient engagement, continuous learning culture, and incentives are profiled. In addition, recommendations for next steps for the development of a learning healthcare system in cardiovascular care are presented.
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Cayuela A, Cayuela L, Rodríguez-Domínguez S, González A, Moniche F. Analysis of cerebrovascular disease mortality trends in Andalusia (1980-2014). Neurologia 2017; 34:309-317. [PMID: 28318728 DOI: 10.1016/j.nrl.2016.12.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2016] [Revised: 12/14/2016] [Accepted: 12/23/2016] [Indexed: 01/15/2023] Open
Abstract
INTRODUCTION In recent decades, mortality rates for cerebrovascular diseases (CVD) have decreased significantly in many countries. This study analyses recent tendencies in CVD mortality rates in Andalusia (1980-2014) to identify any changes in previously observed sex and age trends. PATIENTS AND METHODS CVD mortality and population data were obtained from Spain's National Statistics Institute database. We calculated age-specific and age-standardised mortality rates using the direct method (European standard population). Joinpoint regression analysis was used to estimate the annual percentage change in rates and identify significant changes in mortality trends. We also estimated rate ratios between Andalusia and Spain. RESULTS Standardised rates for both males and females showed 3 periods in joinpoint regression analysis: an initial period of significant decline (1980-1997), a period of rate stabilisation (1997-2003), and another period of significant decline (2003-2014). CONCLUSIONS Between 1997 and 2003, age-standardised rates stabilised in Andalusia but continued to decrease in Spain as a whole. This increased in the gap between CVD mortality rates in Andalusia and Spain for both sexes and most age groups.
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Affiliation(s)
- A Cayuela
- Unidad de Gestión Clínica de Salud Pública, Prevención y Promoción de la Salud, Área de Gestión Sanitaria Sur de Sevilla, Sevilla, España.
| | - L Cayuela
- Facultad de Medicina, Universidad de Sevilla, Sevilla, España
| | - S Rodríguez-Domínguez
- Unidad de Gestión Clínica Pino Montano A, Distrito Sanitario Sevilla, Sevilla, España
| | - A González
- Servicio de Neurorradiología Intervencionista, Hospital Universitario Virgen del Rocío, Sevilla, España
| | - F Moniche
- Unidad de Ictus, Servicio de Neurología, Hospital Universitario Virgen del Rocío, Sevilla, España
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Béjot Y, Guilloteau A, Joux J, Lannuzel A, Mimeau E, Mislin-Tritsch C, Fournel I, Bonithon-Kopp C. Social deprivation and stroke severity on admission: a French cohort study in Burgundy and the West Indies - Guyana region. Eur J Neurol 2017; 24:694-702. [PMID: 28236340 DOI: 10.1111/ene.13271] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2016] [Accepted: 02/01/2017] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND PURPOSE Although there is growing and convincing evidence that socially deprived patients are at higher risk of stroke and worse outcomes, it remains controversial whether or not they suffer more severe stroke. This study aimed to evaluate the influence of social deprivation on initial clinical severity in patients with stroke. METHODS A total of 1536 consecutive patients with an acute first-ever stroke (both ischaemic stroke and intracerebral hemorrhage) were prospectively enrolled from six French study centers. Stroke severity on admission was measured by the National Institutes of Health Stroke Scale score. Social deprivation was assessed at the individual level by the Evaluation de la Précarité et des Inégalités de santé dans les Centres d'Examen de Santé (EPICES) score, a validated multidimensional questionnaire, and several additional single socioeconomic indicators. Polytomous logistic regression analyses were performed to evaluate the association between social deprivation and stroke severity. RESULTS In univariate analysis, the EPICES score (P = 0.039) and level of education (P = 0.018) were the only two socioeconomic variables associated with stroke severity. Multivariate analysis of the association between EPICES and National Institutes of Health Stroke Scale scores showed that more deprived patients presented a significantly higher risk of both mild and moderate/severe stroke (odds ratio for mild versus minor stroke, 1.39; 95% confidence interval, 1.06-1.84; odds ratio for moderate/severe versus minor stroke, 1.44; 95% confidence interval, 1.09-1.92). A non-significant trend towards a higher risk of both mild and moderate/severe stroke in less educated patients was observed. CONCLUSIONS Social deprivation was associated with a more severe clinical presentation in patients with stroke. These findings may contribute to the worse outcome after stroke in deprived patients, and underline the need for strategies to reduce social inequalities for stroke.
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Affiliation(s)
- Y Béjot
- Neurology Department and Dijon Stroke Registry, University Hospital of Dijon, Dijon.,Bourgogne-Franche-Comté University, Dijon
| | - A Guilloteau
- Clinical Investigation Center, University Hospital of Dijon, Dijon.,Inserm CIC 1432, Dijon
| | - J Joux
- Neurology Department, University Hospital of Martinique, Fort-de-France
| | - A Lannuzel
- Neurology Department, University Hospital of Pointe-à-Pitre, Pointe-à-Pitre.,University of West Indies, Pointe-à-Pitre.,UMR 1127, Institute for Brain and Spinal Cord Disorders, ICM, Paris
| | - E Mimeau
- Emergency Department, Hospital Andrée Rosemon, Cayenne
| | - C Mislin-Tritsch
- Medicine Department, Western Guyana Hospital, Saint Laurent du Maroni, France
| | - I Fournel
- Bourgogne-Franche-Comté University, Dijon.,Clinical Investigation Center, University Hospital of Dijon, Dijon.,Inserm CIC 1432, Dijon
| | - C Bonithon-Kopp
- Bourgogne-Franche-Comté University, Dijon.,Clinical Investigation Center, University Hospital of Dijon, Dijon.,Inserm CIC 1432, Dijon
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Yan H, Liu B, Meng G, Shang B, Jie Q, Wei Y, Liu X. The influence of individual socioeconomic status on the clinical outcomes in ischemic stroke patients with different neighborhood status in Shanghai, China. Int J Med Sci 2017; 14:86-96. [PMID: 28138313 PMCID: PMC5278663 DOI: 10.7150/ijms.17241] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Accepted: 11/24/2016] [Indexed: 12/14/2022] Open
Abstract
Objective: Socioeconomic status (SES) is being recognized as an important factor in both social and medical problems. The aim of present study is to examine the relationship between SES and ischemic stroke and investigate whether SES is a predictor of clinical outcomes among patients with different neighborhood status from Shanghai, China. Methods: A total of 471 first-ever ischemic stroke patients aged 18-80 years were enrolled in this retrospective study. The personal SES of each patient was evaluated using a summed score derived from his or her educational level, household income, occupation, and medical reimbursement rate. Clinical adverse events and all-cause mortality were analyzed to determine whether SES was a prognostic factor, its prognostic impact was then assessed based on different neighborhood status using multivariable Cox proportional hazard models after adjusting for other covariates. Results: The individual SES showed a significant positive correlation with neighborhood status (r = 0.370; P < 0.001). The incidence of clinical adverse events and mortality were significantly higher in low SES patients compared with middle and high SES patients (P = 0.001 and P = 0.037, respectively). After adjusting other risk factors and neighborhood status, Kaplan-Meier analysis showed clinical adverse events and deaths were still higher in the low SES patients (all P < 0.05). Multivariate Cox regression analysis demonstrated that both personal SES and neighborhood status are independent prognostic factors for ischemic stroke (all P < 0.05). Besides, among patients with low and middle neighborhood status, lower individual SES was significantly associated with clinical adverse events and mortality (all P < 0.05). Conclusion: Both individual SES and neighborhood status are significantly associated with the prognosis after ischemic stroke. A lower personal SES as well as poorer neighborhood status may significantly increase risk for adverse clinical outcomes among ischemic stroke patients.
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Affiliation(s)
- Han Yan
- Department of Neurology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - Baoxin Liu
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - Guilin Meng
- Department of Neurology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - Bo Shang
- Department of Neurology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - Qiqiang Jie
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - Yidong Wei
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - Xueyuan Liu
- Department of Neurology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
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Abstract
BACKGROUND Stroke patients of lower socioeconomic status have worse outcomes. It remains poorly understood whether this is due to illness severity or personal or health system barriers. We explored the experiences of stroke patients with financial barriers in a qualitative descriptive pilot study, seeking to capture perceived challenges that interfere with their poststroke health and recovery. METHODS We interviewed six adults with a history of stroke and financial barriers in Alberta, Canada, inquiring about their: (1) experiences after stroke; (2) experience of financial barriers; (3) perceived reasons for financial barriers; (4) health consequences of financial barriers; and (5) mechanisms for coping with financial barriers. Two reviewers analyzed data using inductive thematic analysis. RESULTS The participants developed new or worsened financial circumstances as a consequence of stroke-related disability. Poststroke impairments and financial barriers took a toll on their mental health. They struggled to access several aspects of long-term poststroke care, including allied health professional services, medications, and proper nutrition. They described opportunity costs and tradeoffs when accessing health services. In several cases, they were unaware of health resources available to them and were hesitant to disclose their struggles to their physicians and even their families. CONCLUSION Some patients with financial barriers perceive challenges to accessing various aspects of poststroke care. They may have inadequate knowledge of resources available to them and may not disclose their concerns to their health care team. This suggests that providers themselves might consider asking stroke patients about financial barriers to optimize their long-term poststroke care.
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Kagedan DJ, Abraham L, Goyert N, Li Q, Paszat LF, Kiss A, Earle CC, Mittmann N, Coburn NG. Beyond the dollar: Influence of sociodemographic marginalization on surgical resection, adjuvant therapy, and survival in patients with pancreatic cancer. Cancer 2016; 122:3175-3182. [DOI: 10.1002/cncr.30148] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2016] [Revised: 05/02/2016] [Accepted: 05/18/2016] [Indexed: 01/06/2023]
Affiliation(s)
- Daniel J. Kagedan
- Division of General Surgery, Department of Surgery; University of Toronto; Toronto Ontario Canada
| | - Liza Abraham
- Faculty of Medicine; University of Toronto; Toronto Ontario Canada
| | - Nik Goyert
- Sunnybrook Health Sciences Centre; Toronto Ontario Canada
| | - Qing Li
- Institute for Clinical Evaluative Sciences; Toronto Ontario Canada
| | - Lawrence F. Paszat
- Faculty of Medicine; University of Toronto; Toronto Ontario Canada
- Sunnybrook Health Sciences Centre; Toronto Ontario Canada
- Institute for Clinical Evaluative Sciences; Toronto Ontario Canada
| | - Alexander Kiss
- Sunnybrook Health Sciences Centre; Toronto Ontario Canada
- Institute for Clinical Evaluative Sciences; Toronto Ontario Canada
- Institute of Health Policy, Management and Evaluation; University of Toronto; Toronto Ontario Canada
| | - Craig C. Earle
- Faculty of Medicine; University of Toronto; Toronto Ontario Canada
- Sunnybrook Health Sciences Centre; Toronto Ontario Canada
- Institute for Clinical Evaluative Sciences; Toronto Ontario Canada
| | - Nicole Mittmann
- Health Outcomes and PharmacoEconomic (HOPE) Research Centre; Sunnybrook Research Institute; Toronto Ontario Canada
| | - Natalie G. Coburn
- Division of General Surgery, Department of Surgery; University of Toronto; Toronto Ontario Canada
- Sunnybrook Health Sciences Centre; Toronto Ontario Canada
- Institute for Clinical Evaluative Sciences; Toronto Ontario Canada
- Institute of Health Policy, Management and Evaluation; University of Toronto; Toronto Ontario Canada
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Grimaud O, Roussel P, Schnitzler A, Demmer R, Menvielle G. Do socioeconomic disparities in stroke and its consequences decrease in older age? Eur J Public Health 2016; 26:799-804. [DOI: 10.1093/eurpub/ckw058] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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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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Pan Y, Song T, Chen R, Li H, Zhao X, Liu L, Wang C, Wang Y, Wang Y. Socioeconomic deprivation and mortality in people after ischemic stroke: The China National Stroke Registry. Int J Stroke 2016; 11:557-64. [PMID: 27012272 DOI: 10.1177/1747493016641121] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2015] [Accepted: 01/17/2016] [Indexed: 11/16/2022]
Abstract
Background Previous findings of the association between socioeconomic deprivation and mortality after ischemic stroke are inconsistent. There is a lack of data on the association with combined low education, occupational class, and income. We assessed the associations of three indicators with mortality. Methods We examined data from the China National Stroke Registry, recording all stroke patients occurred between September 2007 and August 2008. Baseline socioeconomic deprivation was measured using low levels of education at <6 years, occupation as manual laboring, and average family income per capita at ≤¥1000 per month. A total of 12,246 patients with ischemic stroke were analyzed. Results In a 12-month follow-up 1640 patients died. After adjustment for age, sex, cardiovascular risk factors, severity of stroke, and prehospital medications, odds ratio for mortality in patients with low education was 1.25 (95%CI 1.05–1.48), manual laboring 1.37 (1.09–1.72), and low income 1.19 (1.03–1.37). Further adjustment for acute care and medications in and after hospital made no substantial changes in these odds ratios, except a marginal significant odds ratio for low income (1.15, 0.99–1.33). The odds ratio for low income was 1.27 (1.01–1.60) within patients with high education. Compared with no socioeconomic deprivation, the odds ratio in patients with socioeconomic deprivation determined by any one indicator was 1.33 (1.11–1.59), by any two indicators 1.36 (1.10–1.69), and by all three indicators 1.56 (1.23–1.97). Conclusions There are significant inequalities in survival after ischemic stroke in China in terms of social and material forms of deprivation. General socioeconomic improvement, targeting groups at high risk of mortality is likely to reduce inequality in survival after stroke.
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Affiliation(s)
- Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Tian Song
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Ruoling Chen
- Centre for Health and Social Care Improvement, Faculty of Education Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Liping Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Chunxue Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
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Howard G, Howard VJ. Stroke Disparities. Stroke 2016. [DOI: 10.1016/b978-0-323-29544-4.00014-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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