Methodology Issues in Implementation Science

Dados Bibliográficos

ID9104974
AutoresRobin Newhouse (0000-0001-7562-3307, University of Maryland, Baltimore, autor correspondente), Kathleen L Bobay (0000-0003-2734-6602, Marquette University), Kathleen Bobay, Patricia C Dykes (0000-0003-4597-0732, Harvard University Press), Kathleen R Stevens (0000-0001-7217-6847, The University of Texas at San Antonio Health Science Center), Marita G Titler (University of Michigan), Marita Titler
Ano2013
Volume51
Fascículo4 Suppl 2
PáginasS32-S40
Data de publicação2013-04-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoMedical Care (JOURNAL)
Identificadores do periódicoISSN: 0025-7079 • E-ISSN: 1537-1948
EditoraOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0b013e31827feeca
PMID23502915
OpenAlexW2018990041
IdiomaEN
Citações recebidas3
Referências citadas25

BACKGROUND: Putting evidence into practice at the point of care delivery requires an understanding of implementation strategies that work, in what context and how. OBJECTIVE: To identify methodological issues in implementation science using 4 studies as cases and make recommendations for further methods development. RESEARCH DESIGN: Four cases are presented and methodological issues identified. For each issue raised, evidence on the state of the science is described. RESULTS: Issues in implementation science identified include diverse conceptual frameworks, potential weaknesses in pragmatic study designs, and the paucity of standard concepts and measurement. CONCLUSIONS: Recommendations to advance methods in implementation include developing a core set of implementation concepts and metrics, generating standards for implementation methods including pragmatic trials, mixed methods designs, complex interventions and measurement, and endorsing reporting standards for implementation studies

Conceptual framework · Context (archaeology) · Data science · Engineering ethics · Implementation research · Management science · Psychological intervention · Research design · Set (abstract data type) · Sociology · Work (physics) · Computer Science · Health Policy Implementation Science · Medicine · Mental Health and Patient Involvement · Nursing · Participatory Visual Research Methods