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Feasibility indicators in obesity-related behavioral intervention preliminary studies: a historical scoping review

BACKGROUND: Behavioral interventions are often complex, operate at multiple levels, across settings, and employ a range of behavior change techniques. Collecting and reporting key indicators of initial trial and intervention feasibility is essential to decisions for progressing to larger-scale trial...

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Detalles Bibliográficos
Autores principales: Pfledderer, Christopher D., von Klinggraeff, Lauren, Burkart, Sarah, Wolfenden, Luke, Ioannidis, John P. A., Beets, Michael W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10032007/
https://www.ncbi.nlm.nih.gov/pubmed/36949541
http://dx.doi.org/10.1186/s40814-023-01270-w
Descripción
Sumario:BACKGROUND: Behavioral interventions are often complex, operate at multiple levels, across settings, and employ a range of behavior change techniques. Collecting and reporting key indicators of initial trial and intervention feasibility is essential to decisions for progressing to larger-scale trials. The extent of reporting on feasibility indicators and how this may have changed over time is unknown. The aims of this study were to (1) conduct a historical scoping review of the reporting of feasibility indicators in behavioral pilot/feasibility studies related to obesity published through 2020, and (2) describe trends in the amount and type of feasibility indicators reported in studies published across three time periods: 1982–2006, 2011–2013, and 2018–2020. METHODS: A search of online databases (PubMed, Embase, EBSCOhost, Web of Science) for health behavior pilot/feasibility studies related to obesity published up to 12/31/2020 was conducted and a random sample of 600 studies, 200 from each of the three timepoints (1982–2006, 2011–2013, and 2018–2020), was included in this review. The presence/absence of feasibility indicators, including recruitment, retention, participant acceptability, attendance, compliance, and fidelity, were identified/coded for each study. Univariate logistic regression models were employed to assess changes in the reporting of feasibility indicators across time. RESULTS: A total of 16,365 unique articles were identified of which 6873 of these were reviewed to arrive at the final sample of 600 studies. For the total sample, 428 (71.3%) studies provided recruitment information, 595 (99.2%) provided retention information, 219 (36.5%) reported quantitative acceptability outcomes, 157 (26.2%) reported qualitative acceptability outcomes, 199 (33.2%) reported attendance, 187 (31.2%) reported participant compliance, 23 (3.8%) reported cost information, and 85 (14.2%) reported treatment fidelity outcomes. When compared to the Early Group (1982–2006), studies in the Late Group (2018–2020) were more likely to report recruitment information (OR=1.60, 95%CI 1.03–2.49), acceptability-related quantitative (OR=2.68, 95%CI 1.76–4.08) and qualitative (OR=2.32, 95%CI 1.48–3.65) outcomes, compliance outcomes (OR=2.29, 95%CI 1.49–3.52), and fidelity outcomes (OR=2.13, 95%CI 1.21, 3.77). CONCLUSION: The reporting of feasibility indicators within behavioral pilot/feasibility studies has improved across time, but key aspects of feasibility, such as fidelity, are still not reported in the majority of studies. Given the importance of behavioral intervention pilot/feasibility studies in the translational science spectrum, there is a need for improving the reporting of feasibility indicators. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40814-023-01270-w.