Dataset Information

Translation and cultural adaptation of MedStopper®-A web-based decision aid for deprescribing in older adults: A protocol.

ABSTRACT:

Background

Older patients are more likely to have medication-related problems, which are associated with changes in pharmacokinetics and pharmacodynamics, multimorbidity, and polypharmacy. Polypharmacy and inappropriate prescribing are well-known risk factors which commonly cause adverse clinical outcomes in older people. Prescribers struggle to identify potentially inappropriate medications and to choose an adequate tapering approach.

Methods/design

The goal of the study is to translate and culturally adapt MedStopper®, an original English language web-based decision aid system in deprescribing medication, to the Portuguese population. A translation-back translation method, with validation of the obtained Portuguese version of MedStopper® will be used, followed by a comprehension test.

Discussion

This is the first research in the Portuguese primary care setting that aims to provide a useful online tool for the appropriate prescription of older patients. The translated version in Portuguese version of the MedStopper® tool will represent an advance that seeks to continue improving the management of medications in the elderly. The adaptation into Portuguese of the educational tool provides clinicians with a screening tool to detect potentially inappropriate prescribing in patients older than 65 that reliable and easier to use.

Trial registration

Retrospectively registered.

SUBMITTER: Monteiro L

PROVIDER: S-EPMC10118160 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Translation and cultural adaptation of MedStopper®-A web-based decision aid for deprescribing in older adults: A protocol.

Monteiro Luís L Baptista Sofia S Ribeiro-Vaz Inês I McCormack James J Matos Cristiano C Teixeira Andreia A Monteiro-Soares Matilde M Martins Carlos C

PloS one 20230420 4

<h4>Background</h4>Older patients are more likely to have medication-related problems, which are associated with changes in pharmacokinetics and pharmacodynamics, multimorbidity, and polypharmacy. Polypharmacy and inappropriate prescribing are well-known risk factors which commonly cause adverse clinical outcomes in older people. Prescribers struggle to identify potentially inappropriate medications and to choose an adequate tapering approach.<h4>Methods/design</h4>The goal of the study is to tr ...[more]

PMID: 37079629

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Project description:BackgroundOlder adults with disabilities such as loss of autonomy face the decision of whether to stay at home or move to a health care facility such as a nursing home. Therefore, they may need support for this difficult decision.ObjectiveWe assessed the intention of Canadian older adults to use an electronic decision aid (eDA) to make housing decisions and identified the factors that influenced their intention.MethodsWe conducted a cross-sectional study using a web-based survey targeting older adults across 10 Canadian provinces and 3 territories. We included respondents from a web-based panel who were aged ≥65 years, understood English or French, had access to an electronic device with an internet connection, and had made a housing decision over the past few months or were planning to make a decision in the coming year. We based the web-based survey on the Unified Theory of Acceptance and Use of Technology (UTAUT). We adapted 17 UTAUT items to measure respondents' intention to use the eDA for housing decisions, as well as items measuring 4 intention constructs (performance expectancy, effort expectancy, social influence, and facilitating conditions). We also assessed eHealth literacy using both subjective and objective scales. We used descriptive statistics and multivariable linear regression analyses to identify the factors influencing the intention to use the eDA.ResultsOf the 11,972 invited panelists, 1176 (9.82%) met the eligibility criteria, and 1000 (85.03%) respondents completed the survey. The mean age was 72.5 (SD 5.59) years. Most respondents were male (548/1000, 54.8%), White (906/1000, 90.6%), English speakers (629/1000, 62.9%), and lived in Ontario or Quebec (628/1000, 62.8%) and in urban areas (850/1000, 85%). The mean scores were 27.8 (SD 5.88) out of 40 for subjective eHealth literacy and 3.00 (SD 0.97) out of 5 for objective eHealth literacy. In our sample, the intention score was 4.74 (SD 1.7) out of 7. The mean scores of intention constructs out of 7 were 5.63 (SD 1.28) for facilitating conditions, 4.94 (SD 1.48) for performance expectancy, 5.61 (SD 1.35) for effort expectancy, and 4.76 (SD 1.59) for social influence. In the final model, the factors associated with intention included mother tongue (β=.30; P<.001), objective eHealth literacy (β=-.06; P=.03), performance expectancy (β=.55; P<.001), social influence (β=.37; P<.001), and facilitating conditions (β=.15; P<.001).ConclusionsFindings from this pan-Canadian web-based survey on Canadian older adults suggest that their intention to use the eDA to make housing decisions is similar to the findings in other studies using UTAUT. The factors identified as influencing intention were mother tongue, objective eHealth literacy, performance expectancy, social influence, and facilitating conditions. These will guide future strategies for the implementation of the eDA.

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Dataset Information

Translation and cultural adaptation of MedStopper®-A web-based decision aid for deprescribing in older adults: A protocol.

Background

Methods/design

Discussion

Trial registration

Publications

Translation and cultural adaptation of MedStopper®-A web-based decision aid for deprescribing in older adults: A protocol.

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