Evidence map›Paper›PMID 39696691›Full record

ArticleImplementation science communications2024

Blurring the lines: an empirical examination of the interrelationships among acceptability, appropriateness, and feasibility.

Zoe Fehlberg, Zornitza Stark, Marlena Klaic, Stephanie Best

Abstract read
In one paragraph

Article in Implementation science communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Zoe FehlbergAustralian Genomics, Murdoch Children's Research Institute, Melbourne, Australia.
Zornitza StarkAustralian Genomics, Murdoch Children's Research Institute, Melbourne, Australia.
Marlena KlaicSchool of Health Sciences, The University of Melbourne, Grattan Street, Melbourne, VIC, 3010, Australia.
Stephanie BestAustralian Genomics, Murdoch Children's Research Institute, Melbourne, Australia. stephanie.best@unimelb.edu.au.ORCID http://orcid.org/0000-0002-1107-8976

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcceptability, appropriateness, and feasibility are established implementation outcomes used to understand stakeholders' perceptions of an intervention. Further, they are thought to provide insight into behaviors, such as adoption. To date, measurement instruments for the three outcomes have focused on their individual assessment whilst nodding to the idea that they may interrelate. Despite this acknowledgment, there is little empirical evidence of the association among these constructs. Using the example of genetic health professionals providing additional genomic results to patients, this study aimed to examine the interrelationships among acceptability, appropriateness, and feasibility.

methodsA sequential explanatory mixed methods approach was employed. All genetic counsellors and clinical geneticists involved in a large research program were invited to complete pre/post surveys using existing measures of acceptability, appropriateness, and feasibility. Follow-up interviews, informed by the survey results, explored clinicians' perspectives of the three outcomes in relation to providing additional genomic results to patients. To categorize interrelationships and generate feedback loops, survey data were analyzed using descriptive and correlation statistics and interpreted alongside interview data analyzed using content analysis.

resultsThe survey results (pre n = 53 and post n = 40) for each outcome showed a similar midpoint mean, wide ranges, and little change post implementation (Acceptability: pre M = 3.55, range 2-5 post M = 3.56, range 1.5-5; Appropriateness: pre M = 3.35, range 1-5, post M = 3.48, range 1-5; Feasibility: pre M = 3.30, post M = 3.32; range 1.25-5). The strength of correlation among outcomes ranged from 0.54 to 0.78. Five interrelationships were categorized from analysis of interview data (n = 14) and explain how clinicians' perceptions of the intervention, positive or negative, were determined by interrelating factors of acceptability, appropriateness, and feasibility and that in different scenarios, the function and emphasis of importance among outcomes switched.

conclusionsRather than existing separately, our study promotes the need to consider interrelationships among acceptability, appropriateness, and feasibility to better characterize clinicians' perceptions of complex health care interventions and aid in the development of implementation strategies that have real world impact. Further, in the interest of reducing research waste, more research is needed to determine if the outcomes could serve as proxies for each other.

Indexed as

Complex systems thinkingImplementation outcome proxyImplementation outcomesInterrelationshipsMeasurement instrumentsMixed methods

Identifiers

PMID39696691
PMCPMC11657390

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.