Evidence map›Paper›PMID 30924790›Full record

SynthesisJMIR mHealth and uHealth2019

Examining Development Processes for Text Messaging Interventions to Prevent Cardiovascular Disease: Systematic Literature Review.

Ignacio Ricci-Cabello, Kirsten Bobrow, Sheikh Mohammed Shariful Islam, Clara K Chow, Ralph Maddison, Robyn Whittaker, Andrew J Farmer

Abstract readSystematic Review
In one paragraph

Synthesis in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

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

  1. Pooled it
  2. Pooled it
  3. Trial
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  7. Observational
  8. Article
  9. Development of a Health Text Message System to Support Stroke Prevention: A Component of the Love Your Brain Digital Platform.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  10. Development of a text message intervention designed to promote safe contact lens wear.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025
    Article
  11. Article
  12. Article
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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

7 authors.

Ignacio Ricci-CabelloBalearic Islands Health Research Institute, Palma de Mallorca, Spain.ORCID 0000-0002-4725-8274
Kirsten BobrowChronic Disease Initiative for Africa, Cape Town, South Africa.ORCID 0000-0002-2452-2482
Sheikh Mohammed Shariful IslamInstitute for Physical Activity and Nutrition, Deakin University, Geelong, Australia.ORCID 0000-0001-7926-9368
Clara K ChowThe George Institute for Global Health, University of New South Wales, Sydney, Australia.ORCID 0000-0003-4693-0038
Ralph MaddisonInstitute for Physical Activity and Nutrition, Deakin University, Geelong, Australia.ORCID 0000-0001-8564-5518
Robyn WhittakerNational Institute for Health Innovation, The University of Auckland, Auckland, New Zealand.ORCID 0000-0003-0901-9149
Andrew J FarmerRadcliffe Observatory Quarter, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-6170-4402

Funding

Department of Health RP-PG-1214-20003
6 · The paper itself

Abstract

backgroundInterventions delivered by mobile phones have the potential to prevent cardiovascular disease (CVD) by supporting behavior change toward healthier lifestyles and treatment adherence. To allow replication and adaptation of these interventions across settings, it is important to fully understand how they have been developed. However, the development processes of these interventions have not previously been systematically examined.

objectiveThis study aimed to systematically describe and compare the development process of text messaging interventions identified in the Text2PreventCVD systematic review.

methodsWe extracted data about the development process of the 9 interventions identified in the Text2PreventCVD systematic review. Data extraction, which was guided by frameworks for the development of complex interventions, considered the following development stages: intervention planning, design, development, and pretesting. Following data extraction, we invited the developers of the interventions to contribute to our study by reviewing the accuracy of the extracted data and providing additional data not reported in the available publications.

resultsA comprehensive description of the development process was available for 5 interventions. Multiple methodologies were used for the development of each intervention. Intervention planning involved gathering information from stakeholder consultations, literature reviews, examination of relevant theory, and preliminary qualitative research. Intervention design involved the use of behavior change theories and behavior change techniques. Intervention development involved (1) generating message content based on clinical guidelines and expert opinions; (2) conducting literature reviews and primary qualitative research to inform decisions about message frequency, timing, and level of tailoring; and (3) gathering end-user feedback concerning message readability, intervention acceptability, and perceived utility. Intervention pretesting involved pilot studies with samples of 10 to 30 participants receiving messages for a period ranging from 1 to 4 weeks.

conclusionsThe development process of the text messaging interventions examined was complex and comprehensive, involving multiple studies to guide decisions about the scope, content, and structure of the interventions. Additional research is needed to establish whether effective messaging systems can be adapted from work already done or whether this level of development is needed for application in other conditions and settings.

Indexed as

MotivationBehavior TherapyCardiovascular DiseasesFocus GroupsHealth PromotionHumansInterviews as TopicQualitative ResearchSelf CareSocial SupportSurveys and QuestionnairesText Messagingcardiovascular diseasemethodssystematic reviewtelemedicinetext messaging

Identifiers

PMID30924790
PMCPMC6460311

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.