Evidence map›Paper›PMID 29067248›Full record

ArticleJournal of clinical & translational endocrinology2017

The effect of text message support on diabetes self-management in developing countries - A randomised trial.

Josefien Van Olmen, Guy Kegels, Catherine Korachais, Jeroen de Man, Kristien Van Acker, Jean Clovis Kalobu, Maurits van Pelt, Grace Marie Ku, Heang Hen, Dominique Kanda and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical & translational endocrinology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 9 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

25 citing papers in PubMed, 9 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Trial
  11. Trial
  12. Trial
  13. Trial
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

13 authors.

Josefien Van OlmenDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
Guy KegelsDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
Catherine KorachaisDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
Jeroen de ManDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
Kristien Van AckerAlgemeen ziekenhuis Heilige Familie Reet en Centre de Santé des Fagnes, Chimay, Belgium.
Jean Clovis KalobuMemisqm Kinshqsq, Congo.
Maurits van PeltMoPoTsyo, Cambodia.
Grace Marie KuVeterans Memorial Medical Center, Philippines.
Heang HenMemisqm Kinshqsq, Congo.
Dominique KandaAlgemeen ziekenhuis Heilige Familie Reet en Centre de Santé des Fagnes, Chimay, Belgium.
Billy MalomboAlgemeen ziekenhuis Heilige Familie Reet en Centre de Santé des Fagnes, Chimay, Belgium.
Christian DarrasMemisa, Brussels, Belgium.
François SchellevisNIVEL (Netherlands Institute for Health Services Research), Utrecht, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivemHealth interventions have the potential to facilitate self-management. This TEXT4DSM study implemented a mobile phone intervention in existing diabetes programmes in three low- and middle-income countries (Democratic Republic of Congo, Cambodia, and the Philippines). RESEARCH DESIGN AND

methodsSub-studies with a similar randomised controlled trial design were conducted in three different countries. Each sub-study included 480 adults with diabetes. Subjects were randomised to receive either routine care or routine care plus text message self-management support. The primary outcome was the difference in the proportion of subjects with well-controlled diabetes after 2 years.

resultsBaseline and 2-year HbA1c measurements were available for 781 individuals. After 2 years, the proportion of subjects with controlled HbA1c was 2.8% higher in the intervention group than in the control group (difference not statistically significant). In the logistic regression model, the odds ratio for having controlled diabetes after the intervention was 1.1, after adjusting for baseline HbA1c level, sex, receiving insulin treatment, and participating in the routine programme. The HbA1c dynamics over time differed between programmes; the number of people with controlled diabetes tended to increase in DR Congo and decrease in Cambodia.

conclusionThis study was the first to test the same mHealth intervention in different countries. The finding that text messages did not show an additional effect on diabetes control implied that expectations about mHealth should be cautious. The degree of coverage, the quality of the routine programme, and the progression of disease can interfere with the expected impact. Trial registration: ISRCTN registry (86247213).

Indexed as

Behavioural interventionCambodiaDR CongoDR of Congo, Democratic Republic of CongoDSME, Diabetes Self-Management EducationDSMS, Diabetes Self-Management SupportEffectivenessITT, Intention to TreatLICs, Low Income CountriesmHealthMulti-country studyPhilippinesRandomised trialSelf-managementText messagesType 2 diabetes

Identifiers

PMID29067248
PMCPMC5651290

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.