How We Design Feasibility Studies
By D. Bowen, M. Kreuter, B. Spring, Ludmila M. Cofta-Woerpel, L. Linnan, D. Weiner, Suzanne Bakken, C. Kaplan, L. Squiers, C. Fabrizio and 1 more. American Journal of Preventive Medicine, 2009
3,308 citations recorded by the source corpus.
Public health is moving toward the goal of implementing evidence-based interventions. To accomplish this, there is a need to select, adapt, and evaluate intervention studies. Such selection relies, in part, on making judgments about the feasibility of possible interventions and determining whether comprehensive and multilevel evaluations are justified. There exist few published standards and guides to aid these judgments. This article describes the diverse types of feasibility studies conducted in the field of cancer prevention, using a group of recently funded grants from the National Cancer Institute. The grants were submitted in response to a request for applications proposing research to identify feasible interventions for increasing the utilization of the Cancer Information Service among underserved populations.
Subfields: Endocrinology, Diabetes and Metabolism, General Health Professions
View Paper: https://www.semanticscholar.org/paper/3068aed03be2788844f78aa4757a5d170ca2e67f
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In General Health Professions
Citations in the corpus
- Can Digital Technology Enhance Social Connectedness Among Older Adults? A Feasibility Study (2019, background): “The study considered two feasibility components: acceptability and efficacy (Bowen et al., 2009).”
- Psychometric assessment of three newly developed implementation outcome measures (2017, methodology): “We selected these implementation outcomes because (a) they are often used in formative research or pilot studies as “leading indicators” of implementation success [1, 5] and (b) they are conceptually distinct but likely to be empirically inter-related in complex ways [1].”
- Mindfulness interventions in schools: Integrity and feasibility of implementation (2020, methodology): “This review will draw upon relevant guidelines to assess the integrity of MBIs (Crane, Kuyken, Hastings, Rothwell, & Williams, 2010; Crane et al., 2012; Crane et al., 2017) and evaluate feasibility (Bowen et al., 2009) of implementing the school-based MBIs identified.”
- Artificial Intelligence–Based Chatbots for Promoting Health Behavioral Changes: Systematic Review (2023, neutral): “Feasibility was defined as the demand of the intervention, that is, the actual use of the intervention and whether the intervention is doable in a certain setting [16].”