ArticleInternational journal of MCH and AIDS2020
Utilizing Principles of Private Enterprise to Improve Maternal and Child Health Programs.
Article in International journal of MCH and AIDS, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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Who cites it
2 citing papers in PubMed.
- The effect of supervision on community health workers' effectiveness with households in rural South Africa: A cluster randomized controlled trial.PLoS medicine · 2023Trial
- Stakeholders perceptions regarding implementing maternal and newborn health care programs in Rwanda.BMC health services research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
High quality maternal and child health (MCH) programs are needed to meet the global Sustainable Development Goals 1, 2, 3, and 10. Yet, the vast majority of MCH programs are small, lack capacity and personnel, and are judged based on their relationships with funders, rather than their performance in the field. Adopting principles common among private enterprise could have a significant impact on shifting MCH to focus on implementing larger, higher quality programs and to routinely evaluate MCH as meeting/not meeting their primary mission. For example, focusing on recruiting personnel who have excellent social skills and are pragmatic problem-solvers reflects a principle of
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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.