Evidence map›Paper›PMID 39707878›Full record

ArticleJournal of primary care & community health

Feasibility and Acceptability of a Mobile-Assisted Screening and Brief Intervention for Multiple Health Behaviors in Medical Settings.

Camille Forcier, Aymery Constant, Florine Grisard, Elise Clair, David Val-Laillet, Ronan Thibault, Romain Moirand

Abstract read
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Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Camille ForcierNuMeCan, Rennes, France.
Aymery ConstantNuMeCan, Rennes, France.ORCID 0000-0001-9282-3036
Florine GrisardNuMeCan, Rennes, France.
Elise ClairNuMeCan, Rennes, France.
David Val-LailletNuMeCan, Rennes, France.
Ronan ThibaultNuMeCan, Rennes, France.
Romain MoirandNuMeCan, Rennes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLeveraging every interaction between patients and healthcare professionals constitutes an opportunity to foster behavior change. We developed a mobile Screening and Brief Intervention (mSBI) designed to screen for and intervene with multiple health behaviors, based on a personalized feedback. The objectives of the present study were to assess its feasibility during consultations for chronic conditions, collect users' opinions, and to investigate patients' behaviors and intention to change.

methodsResearch counselors provided the mSBI to patients from 2 departments at University Hospital. Socio-demographic, behavioral, and acceptability data were collected from patients together with feasibility data from counselors' reporting.

resultsA total of 259 participants were analyzed, aged 51 ± 17 years, with a majority of women (53%). The m-SBI averaged 20 min and most patients (92%) could complete the screening with minimal assistance. Medical doctors' involvement facilitated referral to and uptake of the m-SBI, and limited adverse events. On average, patients adhered to 11 of the 18 guidelines screened. A majority of patients rated the personalized feedback as comprehensible and useful. Nearly half of them intended to change behavior.

conclusionsThe m-SBI seems well-accepted and useful, but doctor referral, adapting the screening tool to patients with low health literacy, and app's ability to send the feedback to patients/doctors are essential for feasibility.

Indexed as

Feasibility StudiesHealth BehaviorMass ScreeningAdultAgedChronic DiseaseFemaleHumansMaleMiddle AgedMobile ApplicationsPatient Acceptance of Health Careacceptabilitybehavior changefeasibilitymedical settingmobile healthscreening and brief intervention

Identifiers

PMID39707878
PMCPMC11663265

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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.