Older adults' attitudes towards deprescribing and medication changes: a longitudinal sub-study of a cluster randomised controlled trial.
Details
Serval ID
serval:BIB_A4802AFA974E
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Older adults' attitudes towards deprescribing and medication changes: a longitudinal sub-study of a cluster randomised controlled trial.
Journal
BMJ open
ISSN
2044-6055 (Electronic)
ISSN-L
2044-6055
Publication state
Published
Issued date
10/01/2024
Peer-reviewed
Oui
Volume
14
Number
1
Pages
e075325
Language
english
Notes
Publication types: Randomized Controlled Trial ; Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: epublish
Publication Status: epublish
Abstract
To investigate the association between older patients' willingness to have one or more medications deprescribed and: (1) change in medications, (2) change in the appropriateness of medications and (3) implementation of prescribing recommendations generated by the electronic decision support system tested in the 'Optimising PharmacoTherapy In the Multimorbid Elderly in Primary CAre' (OPTICA) trial.
A longitudinal sub-study of the OPTICA trial, a cluster randomised controlled trial.
Swiss primary care settings.
Participants were aged ≥65 years, with ≥3 chronic conditions and ≥5 regular medications recruited from 43 general practitioner (GP) practices.
Patients' willingness to have medications deprescribed was assessed using three questions from the 'revised Patient Attitudes Towards Deprescribing' (rPATD) questionnaire and its concerns about stopping score.
Medication-related outcomes were collected at 1 year follow-up. Aim 1 outcome: change in the number of long-term medications between baseline and 12 month follow-up. Aim 2 outcome: change in medication appropriateness (Medication Appropriateness Index). Aim 3 outcome: binary variable on whether any prescribing recommendation generated during the OPTICA medication review was implemented. We used multilevel linear regression analyses (aim 1 and aim 2) and multilevel logistic regression analyses (aim 3). Models were adjusted for sociodemographic variables and the clustering effect at GP level.
298 patients completed the rPATD, 45% were women and 78 years was the median age. A statistically significant association was found between the concerns about stopping score and the change in the number of medications over time (per 1-unit increase in the score the average number of medications use was 0.65 higher; 95% CI: 0.08 to 1.22). Other than that we did not find evidence for statistically significant associations between patients' agreement with deprescribing and medication-related outcomes.
We did not find evidence for an association between most measures of patient agreement with deprescribing and medication-related outcomes over 1 year.
NCT03724539.
A longitudinal sub-study of the OPTICA trial, a cluster randomised controlled trial.
Swiss primary care settings.
Participants were aged ≥65 years, with ≥3 chronic conditions and ≥5 regular medications recruited from 43 general practitioner (GP) practices.
Patients' willingness to have medications deprescribed was assessed using three questions from the 'revised Patient Attitudes Towards Deprescribing' (rPATD) questionnaire and its concerns about stopping score.
Medication-related outcomes were collected at 1 year follow-up. Aim 1 outcome: change in the number of long-term medications between baseline and 12 month follow-up. Aim 2 outcome: change in medication appropriateness (Medication Appropriateness Index). Aim 3 outcome: binary variable on whether any prescribing recommendation generated during the OPTICA medication review was implemented. We used multilevel linear regression analyses (aim 1 and aim 2) and multilevel logistic regression analyses (aim 3). Models were adjusted for sociodemographic variables and the clustering effect at GP level.
298 patients completed the rPATD, 45% were women and 78 years was the median age. A statistically significant association was found between the concerns about stopping score and the change in the number of medications over time (per 1-unit increase in the score the average number of medications use was 0.65 higher; 95% CI: 0.08 to 1.22). Other than that we did not find evidence for statistically significant associations between patients' agreement with deprescribing and medication-related outcomes.
We did not find evidence for an association between most measures of patient agreement with deprescribing and medication-related outcomes over 1 year.
NCT03724539.
Keywords
Aged, Humans, Female, Male, Deprescriptions, Cluster Analysis, Electronics, Ethnicity, General Practice, Chronic Disease, Health Services, Primary Health Care, Surveys and Questionnaires
Pubmed
Web of science
Open Access
Yes
Create date
12/01/2024 11:32
Last modification date
09/03/2024 7:09