Evidence map›Paper›PMID 29506562›Full record

ArticleTrials2018

BetaMe: impact of a comprehensive digital health programme on HbA1c and weight at 12 months for people with diabetes and pre-diabetes: study protocol for a randomised controlled trial.

Diana Sarfati, Melissa McLeod, James Stanley, Virginia Signal, Jeannine Stairmand, Jeremy Krebs, Anthony Dowell, William Leung, Cheryl Davies, Rebecca Grainger

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Trials, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
5.5field-weighted citation impact, top 5% of its field
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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. 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 at 3 institutions in 1 country.

Diana SarfatiDepartment of Public Health, University of Otago Wellington, PO Box 7343, Wellington, New Zealand. diana.sarfati@otago.ac.nz.ORCID http://orcid.org/0000-0002-2425-4086
Melissa McLeodDepartment of Public Health, University of Otago Wellington, PO Box 7343, Wellington, New Zealand.
James StanleyBiostatistical Group, Dean's Department, University of Otago Wellington, PO Box 7343, Wellington, New Zealand.
Virginia SignalDepartment of Public Health, University of Otago Wellington, PO Box 7343, Wellington, New Zealand.
Jeannine StairmandDepartment of Public Health, University of Otago Wellington, PO Box 7343, Wellington, New Zealand.
Jeremy KrebsDepartment of Medicine, University of Otago Wellington, PO Box 7343, Wellington, New Zealand.
Anthony DowellDepartment of Primary Health Care and General Practice, University of Otago Wellington, PO Box 7343, Wellington, New Zealand.
William LeungDepartment of Public Health, University of Otago Wellington, PO Box 7343, Wellington, New Zealand.
Cheryl DaviesTu Kotahi Asthma Trust, Lower Hutt, New Zealand.
Rebecca GraingerDepartment of Medicine, University of Otago Wellington, PO Box 7343, Wellington, New Zealand.
University of Otago · NZHutt Hospital · NZUniversity of Auckland · NZ

Funding

Health Research Council of New Zealand 17-726
6 · The paper itself

Abstract

backgroundLong-term conditions (LTCs) are the biggest contributor to health loss in New Zealand. The economic cost and burden on the health system is substantial and growing. Self-management strategies offer a potential way to reduce the pressure on health services. This study evaluates a comprehensive self-management programme (the BetaMe programme) delivered by mobile and web-based technologies for people with Type 2 diabetes (T2DM) and pre-diabetes. The primary aim of this study is to evaluate the effectiveness of the BetaMe programme versus usual care among primary care populations in improving the control of T2DM and pre-diabetes, as measured by change in HbA1c and weight over 12 months.

methodsParticipants will be recruited through two primary healthcare organisations and a Māori healthcare provider in New Zealand (n = 430). Eligible participants will be 18 to 75 years old, with T2DM or pre-diabetes, with an HbA1c of 41-70 mmol/mol up to 2 years prior to study commencement. Eligible participants who consent to participate will be individually randomised to the control arm (usual care) or intervention arm (usual care and BetaMe). The programme consists of a 16-week core followed by a maintenance period of 36 weeks. It incorporates (1) individualised health coaching, (2) goal setting and tracking, (3) peer support in an online forum and (4) educational resources and behaviour-change tools. The primary outcome measures are change in HbA1c and weight at 12 months. Secondary outcomes are changes in waist circumference, blood pressure, patient activation and diabetes-specific behaviours. All outcomes will be assessed at 4 and 12 months for the total study population and for Māori and Pacific participants specifically. All primary analyses will be based on intention-to-treat. Primary analysis will use linear mixed models comparing mean outcome levels adjusted for initial baseline characteristics at 12 months. DISCUSSION: This is a randomised controlled trial of a comprehensive self-management intervention for people with diabetes and pre-diabetes. If effective, this programme would allow healthcare providers to deliver an intervention that is person-centred and supports the self-care of people with T2DM, pre-diabetes and potentially other LTCs.

trial registrationAustralian New Zealand Clinical Trials Registry, ID: ACTRN12617000549325 . Registered on 19 April 2017.

Indexed as

Weight LossAdiposityAdolescentAdultAgedBiomarkersCounselingDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHealth BehaviorHealth Knowledge, Attitudes, PracticeHealth LiteracyHealthy LifestyleHumansMaleBiomarkersGlycated Hemoglobinhemoglobin A1c protein, humanDiabetes mellitusIndigenousMāorimHealthMobileOnlinePacificSelf-management

Identifiers

PMID29506562
PMCPMC5836439
OpenAlexW2798174746

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.