ArticleWorld development2020
Randomized controlled trials of multi-sectoral programs: Lessons from development research.
Article in World development, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Strengthening causal inference from randomised controlled trials of complex interventions.BMJ global health · 2022Article
- Multilevel Determinants of Integrated Service Delivery for Intimate Partner Violence and Mental Health in Humanitarian Settings.International journal of environmental research and public health · 2021Article
- Spectrum of nutrition-specific and nutrition-sensitive determinants of child undernutrition: a multisectoral cross-sectional study in rural Mozambique.BMJ nutrition, prevention & 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
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Development is a multi-faceted process; achieving development goals thus requires a multi-sectoral approach. For over two decades, our research group of economists and nutritionists has designed and implemented randomized trials to assess the effectiveness of multisectoral programs in improving nutrition, food security, and other measures of well-being, largely at the request of developing country governments, development partners, and non-governmental organizations. Our approach addresses three perceived pitfalls of RCTs: the "black box" nature of RCTs, limited external validity, and challenges in translation of results to impacts at scale. We address these concerns by identifying and assessing programmatic pathways to impact with quantitative and qualitative methods; studying similar programs implemented by different organizations across various settings; and working closely with implementing partners in the design, research, and dissemination processes to inform adaptation and scale-up of programs and policies.
Identifiers
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.