High health care use prior to elective surgery for osteoarthritis is associated with poor postoperative outcomes: A Canadian population-based cohort study.

benchmarking high health care users quality-of-care indicators

Journal

Journal of health services research & policy
ISSN: 1758-1060
Titre abrégé: J Health Serv Res Policy
Pays: England
ID NLM: 9604936

Informations de publication

Date de publication:
15 Dec 2023
Historique:
medline: 15 12 2023
pubmed: 15 12 2023
entrez: 15 12 2023
Statut: aheadofprint

Résumé

The characterization and influence of preoperative health care use on quality-of-care indicators (e.g., readmissions) has received limited attention in populations with musculoskeletal disorders. The purpose of this study was to characterize preoperative health care use and examine its effect on quality-of-care indicators among patients undergoing elective surgery for osteoarthritis. Data on health care use for 124,750 patients with elective surgery for osteoarthritis in Ontario, Canada, from April 1, 2015 to March 31, 2018 were linked across health administrative databases. Using total health care use one-year previous to surgery, patients were grouped from low to very high users. We used Poisson regression models to estimate rate ratios, while examining the relationship between preoperative health care use and quality-of-care indicators (e.g., extended length of stay, complications, and 90-day hospital readmissions). We controlled for covariates (age, sex, neighborhood income, rural/urban residence, comorbidities, and surgical anatomical site). We found a statistically significant trend of increasing worse outcomes by health care use gradients that persisted after controlling for patient demographics and comorbidities. Findings were consistent across surgical anatomical sites. Moreover, very high users have relatively large numbers of visits to non-musculoskeletal specialists. Our findings highlight that information on patients' preoperative health care use, together with other risk factors (such as comorbidities), could help decision-making when benchmarking or reimbursing hospitals caring for complex patients undergoing surgery for osteoarthritis.

Sections du résumé

BACKGROUND BACKGROUND
The characterization and influence of preoperative health care use on quality-of-care indicators (e.g., readmissions) has received limited attention in populations with musculoskeletal disorders. The purpose of this study was to characterize preoperative health care use and examine its effect on quality-of-care indicators among patients undergoing elective surgery for osteoarthritis.
METHODS METHODS
Data on health care use for 124,750 patients with elective surgery for osteoarthritis in Ontario, Canada, from April 1, 2015 to March 31, 2018 were linked across health administrative databases. Using total health care use one-year previous to surgery, patients were grouped from low to very high users. We used Poisson regression models to estimate rate ratios, while examining the relationship between preoperative health care use and quality-of-care indicators (e.g., extended length of stay, complications, and 90-day hospital readmissions). We controlled for covariates (age, sex, neighborhood income, rural/urban residence, comorbidities, and surgical anatomical site).
RESULTS RESULTS
We found a statistically significant trend of increasing worse outcomes by health care use gradients that persisted after controlling for patient demographics and comorbidities. Findings were consistent across surgical anatomical sites. Moreover, very high users have relatively large numbers of visits to non-musculoskeletal specialists.
CONCLUSIONS CONCLUSIONS
Our findings highlight that information on patients' preoperative health care use, together with other risk factors (such as comorbidities), could help decision-making when benchmarking or reimbursing hospitals caring for complex patients undergoing surgery for osteoarthritis.

Identifiants

pubmed: 38099445
doi: 10.1177/13558196231213298
doi:

Types de publication

Journal Article

Langues

eng

Pagination

13558196231213298

Déclaration de conflit d'intérêts

Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Mayilee Canizares (M)

Schroeder Arthritis Institute, Krembil Research Institute - University Health Network, Toronto, ON, Canada.

J Denise Power (JD)

Schroeder Arthritis Institute, Krembil Research Institute - University Health Network, Toronto, ON, Canada.

Anthony V Perruccio (AV)

Schroeder Arthritis Institute, Krembil Research Institute - University Health Network, Toronto, ON, Canada.

Michael Paterson (M)

Program Lead & Interim Chief Science Officer, ICES, Toronto, ON, Canada.

Nizar N Mahomed (NN)

Schroeder Arthritis Institute, Krembil Research Institute - University Health Network, Toronto, ON, Canada.

Y Raja Rampersaud (YR)

Schroeder Arthritis Institute, Krembil Research Institute - University Health Network, Toronto, ON, Canada.

Classifications MeSH