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Implementation measurement in global mental health

Results from a modified Delphi panel and investigator survey

Bibliographic Data

ID15700545
AuthorsChristopher G Kemp (0000-0003-1231-1546, Johns Hopkins University, corresponding author), Kristen Danforth (0000-0002-7409-6661, University of Washington), Luke R Aldridge (0000-0003-2683-4006, Johns Hopkins University), Laura Murray (0000-0001-8409-4697, Johns Hopkins University), E E Haroz (0000-0003-1833-4925, Johns Hopkins University)
Year2023
Volume10
Pagese74-e74
Publication date2023-01-01
Open AccessYes
TypeARTICLE
VenueCambridge Prisms Global Mental Health (JOURNAL)
Journal identifiersISSN: 2054-4251 • E-ISSN: 2054-4251
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/gmh.2023.63
PMID38024804
OpenAlexW4388044002
LanguageEN
References cited34

Limited guidance exists to support investigators in the choice, adaptation, validation and use of implementation measures for global mental health implementation research. Our objectives were to develop consensus on best practices for implementation measurement and identify strengths and opportunities in current practice. We convened seven expert panelists. Participants rated approaches to measure adaptation and validation according to appropriateness and feasibility. Follow-up interviews were conducted and a group discussion was held. We then surveyed investigators who have used quantitative implementation measures in global mental health implementation research. Participants described their use of implementation measures, including approaches to adaptation and validation, alongside challenges and opportunities. Panelists agreed that investigators could rely on evidence of a measure's validity, reliability and dimensionality from similar contexts. Panelists did not reach consensus on whether to establish the pragmatic qualities of measures in novel settings. Survey respondents ( n = 28) most commonly reported using the Consolidated Framework for Implementation Research Inner Setting Measures ( n = 9) and the Program Assessment Sustainability Tool ( n = 5). All reported adapting measures to their settings; only two reported validating their measures. These results will support guidance for implementation measurement in support of mental health services in diverse global settings

Delphi · Delphi method · Medical education · Mental health · Psychiatry · Community Health and Development · Computer Science · Delphi Technique in Research · Health Policy Implementation Science · Medicine · Psychology · Artificial Intelligence

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