Evidence map›Paper›PMID 38708186›Full record

ArticleDigital health

Using FLO text-messages to enhance health behaviours and self-management of long-term conditions in South-Asian patients.

Tahreem Chaudhry, Paula Ormandy, Cristina Vasilica

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Article
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.

Tahreem ChaudhrySchool of Health and Society, University of Salford, Salford, UK.ORCID https://orcid.org/0000-0002-5245-3007
Paula OrmandySchool of Health and Society, University of Salford, Salford, UK.
Cristina VasilicaSchool of Health and Society, University of Salford, Salford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Cultural and communication differences faced by South-Asian (SA) ethnic minority groups have led to challenges in the delivery of health care and complex management of long-term conditions (LTCs). We aim to explore the use of text-messaging in SA communities, through the Florence (FLO) health messaging system utilised within U.K. health sectors, to enhance positive health behaviours and self-management. Methods: A mixed-methods approach was used for this study involving two phases. Phase 1 includes the administration of the patient activation measure to assess SA patient level of skills, knowledge, and confidence to self-manage their LTC; whilst in Phase 2 semi-structured interviews were conducted, exploring the experiences of users and non-users of FLO text messaging to promote self-management behaviours. Findings: Forty participants (Florence users (n = 20) and non-users (n = 20)) completed the patient activation survey once after using FLO, and took part in interviews. Differences were noted to exist between the two groups ( Conclusion: Text messaging and mHealth are being extensively used amongst general populations to monitor and enhance health. The study of SA patient experiences and their use of text messages within the United Kingdom (UK) remains scarce. Therefore, results from the study identify health beliefs that influence patient engagement with digital health interventions and their self-management. Developing policies and culturally appropriate education guidelines for healthcare practitioners can allow for the provision of culturally sensitive interventions tailored in terms of normative, cultural, and religious beliefs; which in turn will address crucial aspects including SA patient information and educational needs supporting their self-management journey.

Indexed as

chronic illnessdigital healthethnic-minoritylong-term conditionsMobile healthpatient activationself-managementSouth-Asiantext messages

Identifiers

PMID38708186
PMCPMC11067678

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.