An Incentive-Based and Community Health Worker Package Intervention to Improve Early Utilization of Antenatal Care: Evidence from a Pilot Randomised Controlled Trial

2019 ◽  
Vol 23 (5) ◽  
pp. 633-640 ◽  
Author(s):  
Laura Rossouw ◽  
Rulof Petrus Burger ◽  
Ronelle Burger
2021 ◽  
Vol 6 (9) ◽  
pp. e006535
Author(s):  
Emily B Wroe ◽  
Basimenye Nhlema ◽  
Elizabeth L Dunbar ◽  
Alexandra V Kulinkina ◽  
Chiyembekezo Kachimanga ◽  
...  

BackgroundCommunity health worker (CHW) programmes are a valuable component of primary care in resource-poor settings. The evidence supporting their effectiveness generally shows improvements in disease-specific outcomes relative to the absence of a CHW programme. In this study, we evaluated expanding an existing HIV and tuberculosis (TB) disease-specific CHW programme into a polyvalent, household-based model that subsequently included non-communicable diseases (NCDs), malnutrition and TB screening, as well as family planning and antenatal care (ANC).MethodsWe conducted a stepped-wedge cluster randomised controlled trial in Neno District, Malawi. Six clusters of approximately 20 000 residents were formed from the catchment areas of 11 healthcare facilities. The intervention roll-out was staggered every 3 months over 18 months, with CHWs receiving a 5-day foundational training for their new tasks and assigned 20–40 households for monthly (or more frequent) visits.FindingsThe intervention resulted in a decrease of approximately 20% in the rate of patients defaulting from chronic NCD care each month (−0.8 percentage points (pp) (95% credible interval: −2.5 to 0.5)) while maintaining the already low default rates for HIV patients (0.0 pp, 95% CI: −0.6 to 0.5). First trimester ANC attendance increased by approximately 30% (6.5pp (−0.3, 15.8)) and paediatric malnutrition case finding declined by 10% (−0.6 per 1000 (95% CI −2.5 to 0.8)). There were no changes in TB programme outcomes, potentially due to data challenges.InterpretationCHW programmes can be successfully expanded to more comprehensively address health needs in a population, although programmes should be carefully tailored to CHW and health system capacity.


2021 ◽  
Author(s):  
Ola Quotah ◽  
Glen Nishku ◽  
Jessamine Hunt ◽  
Paul T Seed ◽  
Carolyn Gill ◽  
...  

Abstract BackgroundObesity in pregnancy increases the risk of gestational diabetes mellitus (GDM) and associated adverse outcomes. Despite metabolic differences, all pregnant women with obesity are considered to have the same risk of developing GDM. Improved risk stratification is required to enable targeted intervention in women with obesity who would benefit the most. The aim of this study is to identify pregnant women with obesity at higher risk of developing GDM and in a pilot randomised controlled trial (RCT), show efficacy of a lifestyle intervention and/or metformin to improve glycaemic control.MethodsWomen aged 18 years or older with a singleton pregnancy and body mass index (BMI) ≥30kg/m2 will be recruited from one maternity unit in London, UK. Risk of GDM will be assessed using a multivariable GDM prediction model combining maternal age, mid-arm circumference, systolic blood pressure, serum triglycerides and whole blood HbA1c. Women identified at higher risk of developing GDM will be randomly allocated to one of two intervention groups (lifestyle advice with or without metformin) or standard antenatal care. Primary outcome; reduction in mean glucose/24hr of 0.5mmol/l as assessed by continuous glucose monitoring. A sample of 60 high risk women is required.DiscussionEarly risk stratification of GDM in pregnant women with obesity and targeted intervention using lifestyle advice with or without metformin could improve glucose tolerance compared to standard antenatal care. If successful, an adequately powered RCT will be performed to investigate whether this strategy is effective in preventing GDM in women with obesity. Ethics and trial registrationThis study has been approved by the NHS Research Ethics Committee (UK IRAS integrated research application system; reference 18/LO/1500). EudraCT Number 2018-000003-16.


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