Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Sep;4(3):499-510.
doi: 10.1007/s41669-020-00197-9.

Cost Effectiveness of Antenatal Lifestyle Interventions for Preventing Gestational Diabetes and Hypertensive Disease in Pregnancy

Affiliations

Cost Effectiveness of Antenatal Lifestyle Interventions for Preventing Gestational Diabetes and Hypertensive Disease in Pregnancy

Cate Bailey et al. Pharmacoecon Open. 2020 Sep.

Abstract

Background: Lifestyle interventions (diet, physical activity and/or behavioural) to optimise gestational weight gain can prevent adverse maternal outcomes such as gestational diabetes, pre-eclampsia and caesarean section.

Objective: We aimed to model the cost effectiveness of lifestyle interventions during pregnancy on reducing adverse maternal outcomes.

Methods: Decision tree modelling was used to determine the cost effectiveness of lifestyle interventions compared with usual care on preventing cases of gestational diabetes and hypertensive disease in pregnancy. Participants were pregnant women receiving routine antenatal care in secondary and tertiary care hospitals. The main outcome measures were cases of gestational diabetes and/or hypertensive disease in pregnancy prevented, costs, and incremental cost-effectiveness ratios. Analysis was conducted from the perspective of the Australian healthcare system, with a time horizon of early pregnancy to discharge after birth.

Results: Women in the intervention group were 2.25% less likely to have gestational diabetes and/or hypertensive disease in pregnancy (9.53%) compared with the control group (11.78%). Intervention costs were Australian dollars (AUD) 228 per person. Costs were AUD33 per person higher in the intervention group (AUD8281) than the control group (AUD8248). The incremental cost-effectiveness ratio was AUD1470 per case prevented. Sensitivity analysis showed that base-case results were robust. In the probabilistic sensitivity analysis, 44.8% of data points fell within the north-east quadrant, and 52.2% in the south-east quadrant (cost saving), with a 95% confidence interval ranging from AUD - 50,018 to 32,779 per case prevented.

Conclusions: While there is no formally accepted cost-effectiveness threshold for willingness-to-pay to prevent an adverse maternal event, the cost per person receiving a lifestyle intervention compared with controls was close to neutral, and therefore likely to be cost effective. Exploration of the cost effectiveness of different lifestyle delivery modes across various models of antenatal care is now required. Future cost-effectiveness studies should investigate longer time horizons, quality-adjusted life-years and productivity loss.

Trial registration: Not applicable.

PubMed Disclaimer

Conflict of interest statement

Cate Bailey, Helen Skouteris, Cheryce L. Harrison, Jacqueline Boyle, Rebeccah Bartlett, Briony Hill, Shakila Thangaratinam, Helena Teede, and Zanfina Ademi declare they have no conflicts of interest.

Figures

Fig. 1
Fig. 1
Decision tree model for intervention versus usual care, health state, and type of delivery. GDM gestational diabetes mellitus, HDP hypertensive disease in pregnancy, C-section caesarean section
Fig. 2
Fig. 2
Tornado chart summarising the results of deterministic sensitivity analyses, where blue bars represent the lower limit values and grey bars represent the upper limit values. GDM gestational diabetes mellitus, HDP hypertensive disease in pregnancy, C-section caesarean section, CI confidence interval
Fig. 3
Fig. 3
Cost-effectiveness plane demonstrating the probability of cost effectiveness with 10,000 iterations. The 95% uncertainty range was −AUD50,018 to AUD32,779 per case saved (probabilistic sensitivity analysis 1: gamma, normal). AUD Australian dollars

References

    1. World Health Organization. Health topics: obesity. 2018. http://www.who.int/topics/obesity/en/. Accessed 20 Feb 2018.
    1. Cheney K, Farber R, Barratt AL, et al. Population attributable fractions of perinatal outcomes for nulliparous women associated with overweight and obesity, 1990–2014. Med J Aust. 2018;208:119–125. doi: 10.5694/mja17.00344. - DOI - PubMed
    1. Goldstein RF, Abell SK, Ranasinha S, et al. Association of gestational weight gain with maternal and infant outcomes: a systematic review and meta-analysis. JAMA. 2017;317:2207–2225. doi: 10.1001/jama.2017.3635. - DOI - PMC - PubMed
    1. Institute of Medicine and National Research Council Committee to Reexamine IOM Pregnancy Weight Guidelines . Re-examining IOM Pregnancy Weight Guidelines. In: Rasmussen KM, Yaktine AL, editors. Weight gain during pregnancy: reexamining the guidelines. Washington, DC: National Academies Press; 2009. - PubMed
    1. Meregaglia M, Dainelli L, Banks H, et al. The short-term economic burden of gestational diabetes mellitus in Italy. BMC Pregnancy Childbirth. 2018;18(1):58. doi: 10.1186/s12884-018-1689-1. - DOI - PMC - PubMed

LinkOut - more resources