Trial reportBMC health services research2016
Pragmatic cluster randomised trial of a free telephone-based health coaching program to support women in managing weight gain during pregnancy: the Get Healthy in Pregnancy Trial.
Trial report in BMC health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Combined diet and exercise interventions for preventing gestational diabetes mellitus.The Cochrane database of systematic reviews · 2017Pooled it
- Methodological challenges and solution strategies during implementation of a midwife-led multicenter randomized controlled trial (RCT) in maternity hospitals.BMC medical research methodology · 2021Trial
- Piloting a Telephone Based Health Coaching Program for Pregnant Women: A Mixed Methods Study.Maternal and child health journal · 2019Trial
- Application of a typology for sustainment of Public health interventions using real-world case studies.Implementation science communications · 2026Article
- Impact Evaluation of the Get Healthy in Pregnancy Program: Evidence of Effectiveness.Healthcare (Basel, Switzerland) · 2023Article
- Effects of nutritional interventions during pregnancy on birth, child health and development outcomes: A systematic review of evidence from low- and middle-income countries.Campbell systematic reviews · 2021Article
- Population Attributable Fractions of Modifiable Risk Factors for Nonsyndromic Orofacial Clefts: A Prospective Cohort Study From the Japan Environment and Children's Study.Journal of epidemiology · 2021Article
- Supporting women of childbearing age in the prevention and treatment of overweight and obesity: a scoping review of randomized control trials of behavioral interventions.BMC women's health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundExcessive gestational weight gain can result in poor maternal and child health outcomes. Estimates from single studies indicate the prevalence of excessive gestational weight gain in Australia could lie between 38 and 67 %. The risk of excessive weight gain can be reduced through healthy eating and exercise. We describe the rationale and methods of the Get Healthy in Pregnancy Service, a trial service which aims to support women in achieving appropriate gestational weight gain through an existing telephone-based health coaching service. METHODS/
designThis study aims to compare the effectiveness of a telephone-based health coaching program versus provision of information only in supporting pregnant women to achieve appropriate gestational weight gain. A pragmatic stratified clustered randomised controlled trial will be conducted with 710 women who present to 5 hospitals for their first antenatal appointment during the recruitment period (6-8 months), have a pre-pregnancy body mass index (BMI) ≥ 18.50 (healthy weight or above), are 18 years and over, singleton gestation, English speaking, have no pre-existing medical conditions that may limit their ability to exercise or require a restricted diet and are 18 weeks or less gestation. Hospitals will be randomised into one of two intervention models: a) information only; or b) information plus 10 telephone-based health coaching sessions with a university qualified coach. Both interventions will set a weight-range target with pregnant women. The women attending antenatal clinics at participating hospitals will be screened at their initial hospital appointment to assess their eligibility. Women recruited to the trial will have a number of measures recorded including anthropometrics (self-reported height and weight) and dietary and physical activity scores during and following pregnancy. These measurements will be collected at baseline (prior to 18 weeks gestation), 36 weeks gestation and 12 months post-birth. DISCUSSION: This study responds to a need for an effective intervention that targets excessive gestational weight gain at a population level. This study investigates the potential for an innovative intervention combining two existing services; a free state-wide telephone-based health coaching service and hospital-based antenatal care to support pregnant women to achieve healthy weight gain during pregnancy. The use of existing services provides the potential for immediate post-study implementation. While the impacts of telephone-based lifestyle programmes have been tested in a number of settings, there are few studies which evaluate the effectiveness and acceptability of telephone support in achieving healthy gestational weight gain in association with routine antenatal care.
trial registrationACTRN12615000397516 (Registration date: 26 June 2014, retrospectively registered).
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What OpenQuestion holds
Registered trials
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.