Evidence map›Paper›PMID 37301867›Full record

ArticleBMC health services research2023

Implementing a text message-based intervention to support type 2 diabetes medication adherence in primary care: a qualitative study with general practice staff.

Karen Butler, Yvonne Kiera Bartlett, Nikki Newhouse, Andrew Farmer, David P French, Cassandra Kenning, Louise Locock, Rustam Rea, Veronika Williams, Jenny Mc Sharry

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Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. 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.

Karen ButlerHealth Behaviour Change Research Group, School of Psychology, University of Galway, University Road, Galway, Ireland.
Yvonne Kiera BartlettManchester Centre for Health Psychology, School of Health Sciences, University of Manchester, Manchester, UK.
Nikki NewhouseNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Andrew FarmerNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
David P FrenchManchester Centre for Health Psychology, School of Health Sciences, University of Manchester, Manchester, UK.
Cassandra KenningDivision of Population Health, Health Services Research & Primary Care, School of Health Sciences, University of Manchester, Manchester, UK.
Louise LocockHealth Services Research Unit, University of Aberdeen, Aberdeen, UK.
Rustam ReaOxford Centre for Diabetes, Endocrinology and Metabolism, NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Veronika WilliamsFaculty of Education and Professional Studies, School of Nursing, Nipissing University, North Bay, Canada.
Jenny Mc SharryHealth Behaviour Change Research Group, School of Psychology, University of Galway, University Road, Galway, Ireland. jenny.mcsharry@universityofgalway.ie.ORCID http://orcid.org/0000-0001-5459-1588

Funding

Chief Scientist Office HSRU2
6 · The paper itself

Abstract

backgroundThe Support through Mobile Messaging and digital health Technology for Diabetes (SuMMiT-D) project has developed, and is evaluating, a mobile phone-based intervention delivering brief messages targeting identified behaviour change techniques promoting medication use to people with type 2 diabetes in general practice. The present study aimed to inform refinement and future implementation of the SuMMiT-D intervention by investigating general practice staff perceptions of how a text message-based intervention to support medication adherence should be implemented within current and future diabetes care.

methodsSeven focus groups and five interviews were conducted with 46 general practice staff (including GPs, nurses, healthcare assistants, receptionists and linked pharmacists) with a potential role in the implementation of a text message-based intervention for people with type 2 diabetes. Interviews and focus groups were audio-recorded, transcribed and analysed using an inductive thematic analysis approach.

resultsFive themes were developed. One theme 'The potential of technology as a patient ally' described a need for diabetes support and the potential of technology to support medication use. Two themes outlined challenges to implementation, 'Limited resources and assigning responsibility' and 'Treating the patient; more than diabetes medication adherence'. The final two themes described recommendations to support implementation, 'Selling the intervention: what do general practice staff need to see?' and 'Fitting the mould; complementing current service delivery'.

conclusionsStaff see the potential for a text message-based support intervention to address unmet needs and to enhance care for people with diabetes. Digital interventions, such as SuMMiT-D, need to be compatible with existing systems, demonstrate measurable benefits, be incentivised and be quick and easy for staff to engage with. Interventions also need to be perceived to address general practice priorities, such as taking a holistic approach to care and having multi-cultural reach and relevance. Findings from this study are being combined with parallel work with people with type 2 diabetes to ensure stakeholder views inform further refinement and implementation of the SuMMiT-D intervention.

Indexed as

Diabetes Mellitus, Type 2General PracticeText MessagingHumansMedication AdherencePrimary Health CareDiabetesGeneral practiceImplementation scienceMedication adherencePrimary careText message-based intervention

Identifiers

PMID37301867
PMCPMC10257158

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LicenceCC BY
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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.