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November 15, 2016; 87 (20) Article

Increasing comorbidity and health services utilization in older adults with prior stroke

Andrea Gruneir, Lauren E. Griffith, Kathryn Fisher, Dilzayn Panjwani, Sima Gandhi, Li Sheng, Chris Patterson, Amiram Gafni, Jenny Ploeg, Maureen Markle-Reid
First published October 19, 2016, DOI: https://doi.org/10.1212/WNL.0000000000003329
Andrea Gruneir
From the Department of Family Medicine (A. Gruneir), University of Alberta, Edmonton; Centre for Health Economics and Policy Analysis (A. Gafni), Department of Clinical Epidemiology and Biostatistics (L.E.G.), School of Nursing (K.F., J.P., M.M.-R.), and Department of Medicine (C.P.), McMaster University, Hamilton; Women's College Research Institute (D.P.), Women's College Hospital; and Institute for Clinical Evaluative Sciences (ICES) (S.G., L.S.), Toronto, Canada.
PhD
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Lauren E. Griffith
From the Department of Family Medicine (A. Gruneir), University of Alberta, Edmonton; Centre for Health Economics and Policy Analysis (A. Gafni), Department of Clinical Epidemiology and Biostatistics (L.E.G.), School of Nursing (K.F., J.P., M.M.-R.), and Department of Medicine (C.P.), McMaster University, Hamilton; Women's College Research Institute (D.P.), Women's College Hospital; and Institute for Clinical Evaluative Sciences (ICES) (S.G., L.S.), Toronto, Canada.
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Kathryn Fisher
From the Department of Family Medicine (A. Gruneir), University of Alberta, Edmonton; Centre for Health Economics and Policy Analysis (A. Gafni), Department of Clinical Epidemiology and Biostatistics (L.E.G.), School of Nursing (K.F., J.P., M.M.-R.), and Department of Medicine (C.P.), McMaster University, Hamilton; Women's College Research Institute (D.P.), Women's College Hospital; and Institute for Clinical Evaluative Sciences (ICES) (S.G., L.S.), Toronto, Canada.
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Dilzayn Panjwani
From the Department of Family Medicine (A. Gruneir), University of Alberta, Edmonton; Centre for Health Economics and Policy Analysis (A. Gafni), Department of Clinical Epidemiology and Biostatistics (L.E.G.), School of Nursing (K.F., J.P., M.M.-R.), and Department of Medicine (C.P.), McMaster University, Hamilton; Women's College Research Institute (D.P.), Women's College Hospital; and Institute for Clinical Evaluative Sciences (ICES) (S.G., L.S.), Toronto, Canada.
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Sima Gandhi
From the Department of Family Medicine (A. Gruneir), University of Alberta, Edmonton; Centre for Health Economics and Policy Analysis (A. Gafni), Department of Clinical Epidemiology and Biostatistics (L.E.G.), School of Nursing (K.F., J.P., M.M.-R.), and Department of Medicine (C.P.), McMaster University, Hamilton; Women's College Research Institute (D.P.), Women's College Hospital; and Institute for Clinical Evaluative Sciences (ICES) (S.G., L.S.), Toronto, Canada.
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Li Sheng
From the Department of Family Medicine (A. Gruneir), University of Alberta, Edmonton; Centre for Health Economics and Policy Analysis (A. Gafni), Department of Clinical Epidemiology and Biostatistics (L.E.G.), School of Nursing (K.F., J.P., M.M.-R.), and Department of Medicine (C.P.), McMaster University, Hamilton; Women's College Research Institute (D.P.), Women's College Hospital; and Institute for Clinical Evaluative Sciences (ICES) (S.G., L.S.), Toronto, Canada.
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Chris Patterson
From the Department of Family Medicine (A. Gruneir), University of Alberta, Edmonton; Centre for Health Economics and Policy Analysis (A. Gafni), Department of Clinical Epidemiology and Biostatistics (L.E.G.), School of Nursing (K.F., J.P., M.M.-R.), and Department of Medicine (C.P.), McMaster University, Hamilton; Women's College Research Institute (D.P.), Women's College Hospital; and Institute for Clinical Evaluative Sciences (ICES) (S.G., L.S.), Toronto, Canada.
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Amiram Gafni
From the Department of Family Medicine (A. Gruneir), University of Alberta, Edmonton; Centre for Health Economics and Policy Analysis (A. Gafni), Department of Clinical Epidemiology and Biostatistics (L.E.G.), School of Nursing (K.F., J.P., M.M.-R.), and Department of Medicine (C.P.), McMaster University, Hamilton; Women's College Research Institute (D.P.), Women's College Hospital; and Institute for Clinical Evaluative Sciences (ICES) (S.G., L.S.), Toronto, Canada.
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Jenny Ploeg
From the Department of Family Medicine (A. Gruneir), University of Alberta, Edmonton; Centre for Health Economics and Policy Analysis (A. Gafni), Department of Clinical Epidemiology and Biostatistics (L.E.G.), School of Nursing (K.F., J.P., M.M.-R.), and Department of Medicine (C.P.), McMaster University, Hamilton; Women's College Research Institute (D.P.), Women's College Hospital; and Institute for Clinical Evaluative Sciences (ICES) (S.G., L.S.), Toronto, Canada.
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Maureen Markle-Reid
From the Department of Family Medicine (A. Gruneir), University of Alberta, Edmonton; Centre for Health Economics and Policy Analysis (A. Gafni), Department of Clinical Epidemiology and Biostatistics (L.E.G.), School of Nursing (K.F., J.P., M.M.-R.), and Department of Medicine (C.P.), McMaster University, Hamilton; Women's College Research Institute (D.P.), Women's College Hospital; and Institute for Clinical Evaluative Sciences (ICES) (S.G., L.S.), Toronto, Canada.
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Citation
Increasing comorbidity and health services utilization in older adults with prior stroke
Andrea Gruneir, Lauren E. Griffith, Kathryn Fisher, Dilzayn Panjwani, Sima Gandhi, Li Sheng, Chris Patterson, Amiram Gafni, Jenny Ploeg, Maureen Markle-Reid
Neurology Nov 2016, 87 (20) 2091-2098; DOI: 10.1212/WNL.0000000000003329

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Abstract

Objective: To characterize comorbid chronic conditions, describe health services use, and estimate health care costs among community-dwelling older adults with prior stroke.

Methods: This is a retrospective cohort study using administrative data from Ontario, Canada. We identified all community-dwelling individuals aged 66 and over on April 1, 2008 (baseline), who had experienced a stroke at least 6 months prior. We estimated the prevalence of 14 comorbid conditions at baseline; we captured all physician visits, emergency department visits, hospital admissions, home care contacts, and associated costs over 5 years stratifying by number of comorbid conditions. Where possible, we distinguished between health services use for stroke- and non-stroke-related reasons.

Results: A total of 29,673 individuals met our criteria. Only 1% had no comorbid conditions, while 74.9% had 3 or more. The most common conditions were hypertension (89.8%) and arthritis (65.8%); 5 other conditions had a prevalence of 20% or more (ischemic heart disease, diabetes, chronic obstructive pulmonary disease, inflammatory bowel disease, and dementia). Use of all health services doubled with increasing comorbidity and was largely attributed to non-stroke-related reasons. Total and per-patient costs increased with comorbidity. Main cost drivers shifted from physician and home care visits to hospital admissions with greater comorbidity.

Conclusions: Our findings demonstrate the importance of community-based patient-centered care strategies for stroke survivors that address their range of health needs and prevent more costly acute care use.

GLOSSARY

ACHRU=
Aging, Community, and Health Research Unit;
ALC=
alternate level of care;
CC=
chronic condition;
COPD=
chronic obstructive pulmonary disease;
DAD=
Discharge Abstract Database;
ICD-10-CA=
International Classification of Diseases–10, Canada;
IBD=
inflammatory bowel disease;
ICES=
Institute for Clinical Evaluative Sciences;
ICU=
intensive care unit;
IHD=
ischemic heart disease;
NACRS=
National Ambulatory Care Reporting System;
OHIP=
Ontario Health Insurance Plan;
RPDB=
Registered Persons Database

Footnotes

  • Go to Neurology.org for full disclosures. Funding information and disclosures deemed relevant by the authors, if any, are provided at the end of the article.

  • Supplemental data at Neurology.org

  • Received January 7, 2016.
  • Accepted in final form July 28, 2016.
  • © 2016 American Academy of Neurology
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