Evidence map›Paper›PMID 31890635›Full record

ArticleInternet interventions2019

Development of the eTAP-T: A measure of mental health professionals' attitudes and process towards e-interventions.

Bonnie A Clough, Dale P Rowland, Leanne M Casey

Abstract read
In one paragraph

Article in Internet interventions, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

3 authors.

Bonnie A CloughSchool of Applied Psychology, Griffith University, Australia.
Dale P RowlandSchool of Applied Psychology, Griffith University, Australia.
Leanne M CaseySchool of Applied Psychology, Griffith University, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe development of technological applications within psychotherapy has opened up new opportunities for mental health professionals (MHPs) to address client need. Despite the clinical efficacy and utility of evidence-based electronic interventions, MHPs' engagement with these interventions remains poorly understood.

objectiveThe aim of the current study was to develop and conduct a preliminary psychometric investigation of the measurement properties of the electronic-therapy attitudes and process questionnaire - therapist version (eTAP-T). Based upon the theory of planned behaviour (TPB), the eTAP-T measures factors related to MHPs' engagement with e-interventions for clients' mental health concerns.

methodsParticipants were 222 practicing MHPs who reported being in direct contact with clients. Participants completed the eTAP-T and related measures with a subsample of 40 participants completing a two-week follow up questionnaire.

resultsExploratory factor analysis with item reduction resulted in a 12-item eTAP-T, with four factors accounting for 82% of variance. The four factors (subjective norms, perceived behavioural control, attitudes and intentions) were consistent with the four TPB domains. The eTAP-T demonstrated satisfactory validity and reliability as per the consensus-based standards for the selection of health measurement instruments.

conclusionsThe development and preliminary psychometric investigation supported the validity and reliability of the eTAP-T. Further research is required for confirmatory analyses. The eTAP-T may be useful in identifying the training needs of MHPs and evaluating training programs. Specific areas for intervention, such as attitudes or perceived credibility may be identified and targetted, with the measure then also used to evaluate change across these domains. It is anticipated that the eTAP-T may useful tool in improving uptake of digital interventions by MHPs.

Indexed as

Electronic interventionsEngagementMental health professionalsPsychometric investigationTheory of planned behaviour

Identifiers

PMID31890635
PMCPMC6926282

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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.