ArticleBMJ open2024
Digital supportive supervision (DiSS) of maternal health, child health and nutrition (MCHN) service delivery in Rajasthan, India: study protocol for impact evaluation and cost-effectiveness analysis.
Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Trial
- Article
- A Landscape Analysis of Supportive Supervisory Mechanisms in Maternal and Child Health Programs in India.Cureus · 2025Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA digital supportive supervision (DiSS) tool was developed and implemented in Rajasthan, India, to enhance the coverage and quality of maternal health, child health and nutrition (MCHN) services. This study aims to assess the impact and cost-effectiveness of DiSS compared to traditional paper-based supportive supervision. METHODS AND ANALYSIS: A quasi-experimental research design incorporating interrupted time series regression analysis will be employed to evaluate the impact of DiSS. Two districts from the high DiSS intensity group, defined as having at least 25% of the MCHN sessions supervised digitally, will be randomly selected as intervention districts. Two comparator districts will be selected from the low DiSS intensity group (less than 25% of MCHN sessions supervised digitally) after matching with intervention districts based on three indicators-female literacy, proportion of population belonging to scheduled caste or tribe and coverage of four antenatal care visits. District-level monthly data on the number of beneficiaries using MCHN services will be obtained from the state's routine health management information system. Key informants involved in supervising MCHN sessions will also be interviewed to complement the quantitative findings. A mixed micro-costing methodology, incorporating top-down and bottom-up approaches, for assessing the cost of implementing supervision in either scenario. A decision model will estimate long-term health outcomes, in the form of quality-adjusted life years (QALY), in both the intervention and comparator groups. Cost-effectiveness of DiSS will be assessed by computing the incremental cost per QALY gained in the intervention versus comparator group. ETHICS AND DISSEMINATION: The study has been approved by the Institute Ethics Committee of the PGIMER, Chandigarh, India (IEC No. IEC-03/2023-2671). The study results will be disseminated at research conferences and published in peer-reviewed journals.
Indexed as
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.