ArticleGlobal health action2016
Impact assessment and cost-effectiveness of m-health application used by community health workers for maternal, newborn and child health care services in rural Uttar Pradesh, India: a study protocol.
Article in Global health action, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Digital tracking, provider decision support systems, and targeted client communication via mobile devices to improve primary health care.The Cochrane database of systematic reviews · 2025Pooled it
- Evaluation of community health worker's performance at home-based newborn assessment supported by mHealth in rural Bangladesh.BMC pediatrics · 2022Trial
- Smartphone assisted oral health data recording - an android based software application development.Medicine and pharmacy reports · 2021Article
- Do Women in Nepal Like Playing a Mobile Game? MANTRA: A Mobile Gamified App for Improving Healthcare Seeking Behavior in Rural Nepal.Frontiers in public health · 2021Article
- Cost-Effectiveness of Therapeutic Use of Safety-Engineered Syringes in Healthcare Facilities in India.Applied health economics and health policy · 2020Article
- Public health information systems for primary health care in India: A situational analysis study.Journal of family medicine and primary care · 2019Article
- Using mHealth to Deliver a Home-Based Testing and Counseling Program to Improve Linkage to Care and ART Adherence in Rural South Africa.Prevention science : the official journal of the Society for Prevention Research · 2019Article
- Current Status and Future Directions of mHealth Interventions for Health System Strengthening in India: Systematic Review.JMIR mHealth and uHealth · 2018Review
- Cost analysis of implementing mHealth intervention for maternal, newborn & child health care through community health workers: assessment of ReMIND program in Uttar Pradesh, India.BMC pregnancy and childbirth · 2018Article
- Department of Health Research-Health Technology Assessment (DHR-HTA) database: National prospective register of studies under HTAIn.The Indian journal of medical research · 2018Article
- Mobile health solutions in developing countries: a stakeholder perspective.Health systems (Basingstoke, England) · 2018Review
- Cost effectiveness of mHealth intervention by community health workers for reducing maternal and newborn mortality in rural Uttar Pradesh, India.Cost effectiveness and resource allocation : C/E · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAn m-health application has been developed and implemented with community health workers to improve their counseling in a rural area of India. The ultimate aim was to generate demand and improve utilization of key maternal, neonatal, and child health services. The present study aims to assess the impact and cost-effectiveness of this project. METHODS/
designA pre-post quasi-experimental design with a control group will be used to undertake difference in differences analysis for assessing the impact of intervention. The Annual Health Survey (2011) will provide pre-intervention data, and a household survey will be carried out to provide post-intervention data.Two community development blocks where the intervention was introduced will be treated as intervention blocks while two controls blocks are selected after matching with intervention blocks on three indicators: average number of antenatal care checkups, percentage of women receiving three or more antenatal checkups, and percentage of institutional deliveries. Two categories of beneficiaries will be interviewed in both areas: women with a child between 29 days and 6 months and women with a child between 12 and 23 months. Propensity score matched samples from intervention and control areas in pre-post periods will be analyzed using the difference in differences method to estimate the impact of intervention in utilization of key services.Bottom-up costing methods will be used to assess the cost of implementing intervention. A decision model will estimate long-term effects of improved health services utilization on mortality, morbidity, and disability. Cost-effectiveness will be assessed in terms of incremental cost per disability-adjusted life year averted and cost per unit increase in composite service coverage in intervention versus control groups.
conclusionsThe study will generate significant evidence on impact of the m-health intervention for maternal, neonatal, and child services and on the cost of scaling up m-health technology for accredited social health activists in India.
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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.