Evidence map›Paper›PMID 39235843›Full record

ArticleJMIR mHealth and uHealth2024

Using Text Messaging Surveys in General Practice Research to Engage With People From Low-Income Groups: Multi-Methods Study.

Elizabeth Sturgiss, Jenny Advocat, Christopher Barton, Emma N Walker, Suzanne Nielsen, Annemarie Wright, Tina Lam, Nilakshi Gunatillaka, Symrin Oad, Christopher Wood

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Text message surveillance for rapidEpidemiology and infection · 2025
    Article
  4. 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

10 authors.

Elizabeth SturgissSchool of Primary and Allied Health Care, Monash University, Frankston, Australia.ORCID 0000-0003-4428-4060
Jenny AdvocatSchool of Primary and Allied Health Care, Monash University, Frankston, Australia.ORCID 0000-0001-7965-2244
Christopher BartonDepartment of General Practice, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID 0000-0001-9823-7425
Emma N WalkerDepartment of General Practice, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID 0009-0003-1977-7258
Suzanne NielsenMonash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Australia.ORCID 0000-0001-5341-1055
Annemarie WrightDepartment of Health, Victorian State Government, Melbourne, Australia.ORCID 0000-0003-3353-3658
Tina LamMonash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Australia.ORCID 0000-0002-4902-7293
Nilakshi GunatillakaEPIC Research Unit, School of Primary and Allied Health Care, Monash University, Frankston, Australia.ORCID 0009-0006-0826-9719
Symrin OadSchool of Primary and Allied Health Care, Monash University, Melbourne, Australia.ORCID 0009-0009-7947-2847
Christopher WoodCapital Health Network, Canberra, Australia.ORCID 0009-0005-6104-1134

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSMS text messages through mobile phones are a common means of interpersonal communication. SMS text message surveys are gaining traction in health care and research due to their feasibility and patient acceptability. However, challenges arise in implementing SMS text message surveys, especially when targeting marginalized populations, because of barriers to accessing phones and data as well as communication difficulties. In primary care, traditional surveys (paper-based and online) often face low response rates that are particularly pronounced among disadvantaged groups due to financial limitations, language barriers, and time constraints.

objectiveThis study aimed to investigate the potential of SMS text message-based patient recruitment and surveys within general practices situated in lower socioeconomic areas. This study was nested within the Reducing Alcohol-Harm in General Practice project that aimed to reduce alcohol-related harm through screening in Australian general practice.

methodsThis study follows a 2-step SMS text message data collection process. An initial SMS text message with an online survey link was sent to patients, followed by subsequent surveys every 3 months for consenting participants. Interviews were conducted with the local primary health network organization staff, the participating practice staff, and the clinicians. The qualitative data were analyzed using constructs from the Consolidated Framework for Implementation Research.

resultsOut of 6 general practices, 4 were able to send SMS text messages to their patients. The initial SMS text message was sent to 8333 patients and 702 responses (8.2%) were received, most of which were not from a low-income group. This low initial response was in contrast to the improved response rate to the ongoing 3-month SMS text message surveys (55/107, 51.4% at 3 months; 29/67, 43.3% at 6 months; and 44/102, 43.1% at 9 months). We interviewed 4 general practitioners, 4 nurses, and 4 administrative staff from 5 of the different practices. Qualitative data uncovered barriers to engaging marginalized groups including limited smartphone access, limited financial capacity (telephone, internet, and Wi-Fi credit), language barriers, literacy issues, mental health conditions, and physical limitations such as manual dexterity and vision issues. Practice managers and clinicians suggested strategies to overcome these barriers, including using paper-based surveys in trusted spaces, offering assistance during survey completion, and offering honoraria to support participation.

conclusionsWhile SMS text message surveys for primary care research may be useful for the broader population, additional efforts are required to ensure the representation and involvement of marginalized groups. More intensive methods such as in-person data collection may be more appropriate to capture the voice of low-income groups in primary care research. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.3399/BJGPO.2021.0037.

Indexed as

General PracticePovertyQualitative ResearchText MessagingAdultAustraliaFemaleHumansMaleMiddle AgedSurveys and Questionnairesaccessaccessibilitybarrierbarriersdata collectiondigital dividedigital healthdisadvantageddisadvantaged populationmarginalizedmessagemessagesmessagingmobile phonepriority populationsresearch methodsshort message servicesmartphonesmartphonesSMSsurveysurveysunderrepresentedunderserved

Identifiers

PMID39235843
PMCPMC11413543

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.