Evidence map›Paper›PMID 27039300›Full record

Trial reportTrials2016

Text message-based diabetes self-management support (SMS4BG): study protocol for a randomised controlled trial.

Rosie Dobson, Robyn Whittaker, Yannan Jiang, Matthew Shepherd, Ralph Maddison, Karen Carter, Richard Cutfield, Catherine McNamara, Manish Khanolkar, Rinki Murphy

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Trials, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Effect of Short Message Service on Management of Pulmonary Tuberculosis Patients in Anhui Province, China: A Prospective, Randomized, Controlled Study.Medical science monitor : international medical journal of experimental and clinical research · 2017
    Trial
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Big data analytics for preventive medicine.Neural computing & applications · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Insulin Adherence in Adolescents with Type 1 Diabetes Mellitus.Indian journal of endocrinology and metabolism
    Review
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.

Rosie DobsonNational Institute for Health Innovation, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand. r.dobson@auckland.ac.nz.ORCID http://orcid.org/0000-0003-0122-1000
Robyn WhittakerNational Institute for Health Innovation, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.
Yannan JiangNational Institute for Health Innovation, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.
Matthew ShepherdSchool of Counselling, Human Services and Social Work, Faculty of Education, University of Auckland, Auckland, New Zealand.
Ralph MaddisonNational Institute for Health Innovation, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.
Karen CarterNational Institute for Health Innovation, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.
Richard CutfieldWaitemata District Health Board, Auckland, New Zealand.
Catherine McNamaraWaitemata District Health Board, Auckland, New Zealand.
Manish KhanolkarAuckland District Health Board, Auckland, New Zealand.
Rinki MurphyAuckland District Health Board, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAddressing the increasing prevalence, and associated disease burden, of diabetes is a priority of health services internationally. Interventions to support patients to effectively self-manage their condition have the potential to reduce the risk of costly and debilitating complications. The utilisation of mobile phones to deliver self-management support allows for patient-centred care at the frequency and intensity that patients desire from outside the clinic environment. Self-Management Support for Blood Glucose (SMS4BG) is a novel text message-based intervention for supporting people with diabetes to improve self-management behaviours and achieve better glycaemic control and is tailored to individual patient preferences, demographics, clinical characteristics, and culture. This study aims to assess whether SMS4BG can improve glycaemic control in adults with poorly controlled diabetes. This paper outlines the rationale and methods of the trial. METHODS/

designA two-arm, parallel, randomised controlled trial will be conducted across New Zealand health districts. One thousand participants will be randomised at a 1:1 ratio to receive SMS4BG, a theoretically based and individually tailored automated text message-based diabetes self-management support programme (intervention) in addition to usual care, or usual care alone (control). The primary outcome is change in glycaemic control (HbA1c) at 9 months. Secondary outcomes include glycaemic control at 3 and 6 months, self-efficacy, self-care behaviours, diabetes distress, health-related quality of life, perceived social support, and illness perceptions. Cost information and healthcare utilisation will also be collected as well as intervention satisfaction and interaction. DISCUSSION: This study will provide information on the effectiveness of a text message-based self-management support tool for people with diabetes. If found to be effective it has the potential to provide individualised support to people with diabetes across New Zealand (and internationally), thus extending care outside the clinic environment.

trial registrationAustralian New Zealand Clinical Trials Registry: ACTRN12614001232628 .

Indexed as

Cell PhoneText MessagingBiomarkersBlood GlucoseClinical ProtocolsDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Glycated HemoglobinHealth BehaviorHealth Knowledge, Attitudes, PracticeHumansNew ZealandPatient Education as TopicPatient SatisfactionQuality of LifeResearch DesignBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanDiabetes mellitusmHealthMobile phoneSelf-managementSMSText message

Identifiers

PMID27039300
PMCPMC4818933

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.