Attitude theory and measurement in implementation science: a secondary review of empirical studies and opportunities for advancement.
Causal theory
Instrumentation
Predictive models
Psychology methods
Validated measurement
Journal
Implementation science : IS
ISSN: 1748-5908
Titre abrégé: Implement Sci
Pays: England
ID NLM: 101258411
Informations de publication
Date de publication:
14 09 2021
14 09 2021
Historique:
received:
28
01
2021
accepted:
16
08
2021
entrez:
15
9
2021
pubmed:
16
9
2021
medline:
26
11
2021
Statut:
epublish
Résumé
Implementation science studies often express interest in "attitudes," a term borrowed from psychology. In psychology, attitude research has an established methodological and theoretical base, which we briefly summarize here. We then review implementation studies designed to measure attitudes and compare their definitions and methods with those from psychology. A recent review identified 46 studies empirically examining factors associated with implementation. For each of these studies, we evaluated whether authors included attitudes as a construct of interest, and if so, whether and how the construct was defined, measured, and analyzed. Most of the articles (29/46 [63%]) mention attitudes as an implementation factor. Six articles include a definition of the construct. Nineteen studies were designed to measure attitudes but lacked clarity in describing how attitudes were measured. Those that explained their measurement approach used methods that differed from one another and from validated methods in social psychology. Few articles described associated analyses or provided results specific to attitudes. Despite the lack of specificity regarding relevant measurement, analysis, and results, the articles often included causal conclusions about the role of attitudes. Attitudes may be an important construct to implementation scientists, but studies to date are ambiguous in their definitions of attitudes and inconsistent in the methods used to measure and analyze attitudes. We discuss how implementation studies can apply psychology's standardized definitions, validated measurement approaches, and causal models that include attitudes. This application of attitude theory and methods could offer implementation research valuable scientific opportunities.
Sections du résumé
BACKGROUND
Implementation science studies often express interest in "attitudes," a term borrowed from psychology. In psychology, attitude research has an established methodological and theoretical base, which we briefly summarize here. We then review implementation studies designed to measure attitudes and compare their definitions and methods with those from psychology.
METHODS
A recent review identified 46 studies empirically examining factors associated with implementation. For each of these studies, we evaluated whether authors included attitudes as a construct of interest, and if so, whether and how the construct was defined, measured, and analyzed.
RESULTS
Most of the articles (29/46 [63%]) mention attitudes as an implementation factor. Six articles include a definition of the construct. Nineteen studies were designed to measure attitudes but lacked clarity in describing how attitudes were measured. Those that explained their measurement approach used methods that differed from one another and from validated methods in social psychology. Few articles described associated analyses or provided results specific to attitudes. Despite the lack of specificity regarding relevant measurement, analysis, and results, the articles often included causal conclusions about the role of attitudes.
CONCLUSIONS
Attitudes may be an important construct to implementation scientists, but studies to date are ambiguous in their definitions of attitudes and inconsistent in the methods used to measure and analyze attitudes. We discuss how implementation studies can apply psychology's standardized definitions, validated measurement approaches, and causal models that include attitudes. This application of attitude theory and methods could offer implementation research valuable scientific opportunities.
Identifiants
pubmed: 34521422
doi: 10.1186/s13012-021-01153-9
pii: 10.1186/s13012-021-01153-9
pmc: PMC8438998
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
87Subventions
Organisme : NIMH NIH HHS
ID : P50 MH113840
Pays : United States
Commentaires et corrections
Type : CommentIn
Type : CommentIn
Type : ErratumIn
Informations de copyright
© 2021. The Author(s).
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