Evidence map›Paper›PMID 34335048›Full record

ArticleInternational journal of general medicine2021

Challenges of Implementing an mHealth Application for Personalized Physical Activity Counselling in Primary Health Care: A Qualitative Study.

Apichai Wattanapisit, Waluka Amaek, Sanhapan Wattanapisit, Titiporn Tuangratananon, Sunton Wongsiri, Prasert Pengkaew

Abstract read
In one paragraph

Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

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

  1. 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

6 authors.

Apichai WattanapisitSchool of Medicine, Walailak University, Nakhon Si Thammarat, Thailand.ORCID 0000-0002-9537-8510
Waluka AmaekCollege of Graduate Studies, Walailak University, Nakhon Si Thammarat, Thailand.ORCID 0000-0001-6318-7720
Sanhapan WattanapisitThasala Hospital, Nakhon Si Thammarat, Thailand.
Titiporn TuangratananonInternational Health Policy Program, Ministry of Public Health, Nonthaburi, Thailand.
Sunton WongsiriFaculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Prasert PengkaewSchool of Informatics, Walailak University, Nakhon Si Thammarat, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA mobile health (mHealth) technology has the potential to facilitate personalized physical activity (PA) counselling. We aimed to explore the feasibility and challenges of implementing a newly developed mHealth application (PAC app) for personalized PA counselling. MATERIAL AND

methodsA qualitative design employed a descriptive phenomenology approach. Data were collected through focus group discussions (FGDs) with primary health care (PHC) providers and were analyzed using a deductive thematic approach.

resultsA total of 16 participants participated in four FGDs. Four major themes were found: application for personalized PA counselling, barriers to the use of the application by providers, patient involvement, and impact on PHC services. DISCUSSION: The results showed that the new mHealth application can potentially facilitate PA counselling. However, its use in PHC settings requires an understanding of the context of service delivery; the challenges faced by providers and patients and effects on services must be considered.

conclusionFuture research should focus on the long-term use of PAC app and its impact on behavioral and health outcomes.

Indexed as

counsellingmHealthpersonalizationphysical activityprimary health care

Identifiers

PMID34335048
PMCPMC8318008

What OpenQuestion holds

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LicenceCC BY-NC
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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.