Effectiveness of confidential reports to physicians on their prescribing of antipsychotic medications in nursing homes.

Antipsychotic prescribing Audit and feedback Interrupted time series Nursing homes

Journal

Implementation science communications
ISSN: 2662-2211
Titre abrégé: Implement Sci Commun
Pays: England
ID NLM: 101764360

Informations de publication

Date de publication:
2020
Historique:
received: 01 09 2019
accepted: 22 01 2020
entrez: 5 9 2020
pubmed: 5 9 2020
medline: 5 9 2020
Statut: epublish

Résumé

Antipsychotic medication use in nursing homes is associated with potential for harms. In Ontario, Canada, an agency of the provincial government offers nursing home physicians quarterly audit and feedback on their antipsychotic prescribing. We compared the characteristics of physicians who did and did not engage with the intervention, and assessed early changes in prescribing. This population-level, retrospective cohort study used linked administrative databases to track prescribing practices in nursing homes pre-intervention (baseline), immediately post-initiative (3 months), and at follow-up (6 months). Exposure variables identified whether a physician signed up to participate (or not) or viewed the feedback following sign up (or not). Differences in the proportion of days that residents received antipsychotic medications at 6 months compared to baseline by exposure(s) were assessed using a linear mixed effects regression analysis to adjust for a range of resident, physician, and nursing home factors. Benzodiazepine and statin prescribing were assessed as a balance and tracer measures, respectively. Of 944 eligible physicians, 210 (22.3%) signed up to recieve the feedback report and 132 (13.9%) viewed their feedback. Physicians who signed up for feedback were more likely to have graduated from a Canadian medical school, work in urban nursing homes, and care for a larger number of residents. The clinical and functional characteristics of residents were similar across physician exposure groups. At 6 months, antipsychotic prescribing had decreased in all exposure groups. Those who viewed their feedback report had a signicantly greater reduction in antipsychotic prescribing than those who did not sign up (0.94% patient-days exposed; 95% CI 0.35 to 1.54%, Almost a quarter of eligible physicians engaged early in a voluntary audit and feedback intervention related to antipsychotic prescribing in nursing homes. Those who viewed their feedback achieved a small but statistically significant change in prescribing, equivalent to approximately 14,000 fewer days that nursing home residents received antipsychotic medications over 6 months. This study adds to the literature regarding the role of audit and feedback interventions to improve quality of care.

Sections du résumé

BACKGROUND BACKGROUND
Antipsychotic medication use in nursing homes is associated with potential for harms. In Ontario, Canada, an agency of the provincial government offers nursing home physicians quarterly audit and feedback on their antipsychotic prescribing. We compared the characteristics of physicians who did and did not engage with the intervention, and assessed early changes in prescribing.
METHODS METHODS
This population-level, retrospective cohort study used linked administrative databases to track prescribing practices in nursing homes pre-intervention (baseline), immediately post-initiative (3 months), and at follow-up (6 months). Exposure variables identified whether a physician signed up to participate (or not) or viewed the feedback following sign up (or not). Differences in the proportion of days that residents received antipsychotic medications at 6 months compared to baseline by exposure(s) were assessed using a linear mixed effects regression analysis to adjust for a range of resident, physician, and nursing home factors. Benzodiazepine and statin prescribing were assessed as a balance and tracer measures, respectively.
RESULTS RESULTS
Of 944 eligible physicians, 210 (22.3%) signed up to recieve the feedback report and 132 (13.9%) viewed their feedback. Physicians who signed up for feedback were more likely to have graduated from a Canadian medical school, work in urban nursing homes, and care for a larger number of residents. The clinical and functional characteristics of residents were similar across physician exposure groups. At 6 months, antipsychotic prescribing had decreased in all exposure groups. Those who viewed their feedback report had a signicantly greater reduction in antipsychotic prescribing than those who did not sign up (0.94% patient-days exposed; 95% CI 0.35 to 1.54%,
INTERPRETATION CONCLUSIONS
Almost a quarter of eligible physicians engaged early in a voluntary audit and feedback intervention related to antipsychotic prescribing in nursing homes. Those who viewed their feedback achieved a small but statistically significant change in prescribing, equivalent to approximately 14,000 fewer days that nursing home residents received antipsychotic medications over 6 months. This study adds to the literature regarding the role of audit and feedback interventions to improve quality of care.

Identifiants

pubmed: 32885189
doi: 10.1186/s43058-020-00013-9
pii: 13
pmc: PMC7427908
doi:

Types de publication

Journal Article

Langues

eng

Pagination

30

Informations de copyright

© The Author(s) 2020.

Déclaration de conflit d'intérêts

Competing interestsAll authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf and declare the following: NMI received grant funding for the submitted work from the Ontario Strategy for Patient Oriented Research, which is co-funded by the Canadian Institutes for Health Research (CIHR) and the Ministry of Health and Long-Term Care; no financial relationships with any organizations that might have an interest in the submitted work in the previous 3 years; and no other relationships or activities that could appear to have influenced the submitted work.

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Auteurs

Noah M Ivers (NM)

Women's College Research Institute, Women's College Hospital, 76 Grenville Ave., Toronto, ON M5S 1B2 Canada.
ICES, Toronto, Canada.
Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.
Department of Family and Community Medicine, University of Toronto, Toronto, Canada.

Monica Taljaard (M)

School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada.
Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada.

Vasily Giannakeas (V)

Women's College Research Institute, Women's College Hospital, 76 Grenville Ave., Toronto, ON M5S 1B2 Canada.
ICES, Toronto, Canada.

Catherine Reis (C)

Women's College Research Institute, Women's College Hospital, 76 Grenville Ave., Toronto, ON M5S 1B2 Canada.

Cara L Mulhall (CL)

Health System Performance, Ontario Health (Quality), Toronto, Canada.

Jonathan M C Lam (JMC)

Health System Performance, Ontario Health (Quality), Toronto, Canada.

Ann N Burchell (AN)

ICES, Toronto, Canada.
Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.
Department of Family and Community Medicine, University of Toronto, Toronto, Canada.

Gerald Lebovic (G)

Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.
Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada.

Susan E Bronskill (SE)

Women's College Research Institute, Women's College Hospital, 76 Grenville Ave., Toronto, ON M5S 1B2 Canada.
ICES, Toronto, Canada.
Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.
Sunnybrook Research Institute, Toronto, Canada.

Classifications MeSH