ArticleCost effectiveness and resource allocation : C/E2018
Cost effectiveness of mHealth intervention by community health workers for reducing maternal and newborn mortality in rural Uttar Pradesh, India.
Article in Cost effectiveness and resource allocation : C/E, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 5 of them syntheses that pooled it.
What it found
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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
26 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Decision-analytic models in the economic evaluation of community health worker programmes globally: a systematic review.BMJ global health · 2026Pooled it
- A Systematic Review of Methods and Practice for Integrating Maternal, Fetal, and Child Health Outcomes, and Family Spillover Effects into Cost-Utility Analyses.PharmacoEconomics · 2024Pooled it
- Economic Evaluations of Digital Health Interventions for Children and Adolescents: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Comprehensive league table of cost-utility ratios: A systematic review of cost-effectiveness evidence for health policy decisions in India.Frontiers in public health · 2022Pooled it
- The cost-effectiveness of digital health interventions: A systematic review of the literature.Frontiers in public health · 2022Pooled it
- Costing and Cost-Effectiveness of a Mobile Health Intervention (ImTeCHO) in Improving Infant Mortality in Tribal Areas of Gujarat, India: Cluster Randomized Controlled Trial.JMIR mHealth and uHealth · 2020Trial
- An Interactive Text Messaging Intervention to Improve Adherence to Option B+ Prevention of Mother-to-Child HIV Transmission in Kenya: Cost Analysis.JMIR mHealth and uHealth · 2020Trial
- Review
- Impact and cost-effectiveness of Neotree, a digital data capture and decision support tool designed to improve neonatal survival in Zimbabwe: an interrupted time series analysis and economic evaluation.BMJ global health · 2026Article
- Integration of a tele-dermatology model for Epidermolysis Bullosa improves patient outreach: a before and after observational study.Frontiers in digital health · 2026Article
- Transforming Rheumatoid Arthritis Care: A Scoping Review of the Role of Digital Health.Cureus · 2025Review
- Linking Household and Service Provisioning Assessments to Estimate a Metric of Effective Health Coverage: A Metric for Monitoring Universal Health Coverage.International journal of environmental research and public health · 2025Article
- Factors influencing the adoption of the BYOD policy in teaching hospitals: A cross-sectional study from Southeastern Iran.PloS one · 2025Article
- Connecting Female Entertainment Workers in Cambodia to Health Care Services Using mHealth: Economic Evaluation of Mobile Link.JMIR formative research · 2024Article
- Article
- The Health Impact of mHealth Interventions in India: Systematic Review and Meta-Analysis.Online journal of public health informatics · 2023Review
- Pandemics and technology engagement: New evidence from m-Health intervention during COVID-19 in India.Review of development economics · 2022Article
- Economic analysis of ASHA-soft programme (online payment and monitoring system) in Jodhpur, Rajasthan.Journal of family medicine and primary care · 2022Article
- A cost analysis of implementing mobile health facilitated tuberculosis contact investigation in a low-income setting.PloS one · 2022Article
- Brazil's Community Health Workers Practicing Narrative Medicine: Patients' Perspectives.Journal of general internal medicine · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA variety of mobile-based health technologies (mHealth) have been developed for use by community health workers to augment their performance. One such mHealth intervention-ReMiND program, was implemented in a poor performing district of India. Despite some research on the extent of its effectiveness, there is significant dearth of evidence on cost-effectiveness of such mHealth interventions. In this paper we evaluated the incremental cost per disability adjusted life year (DALY) averted as a result of ReMiND intervention as compared to routine maternal and child health programs without ReMiND.
methodsA decision tree was parameterized on MS-Excel spreadsheet to estimate the change in DALYs and cost as a result of implementing ReMiND intervention compared with routine care, from both health system and societal perspective. A time horizon of 10 years starting from base year of 2011 was considered appropriate to cover all costs and effects comprehensively. All costs, including those during start-up and implementation phase, besides other costs on the health system or households were estimated. Consequences were measured as part of an impact assessment study which used a quasi-experimental design. Proximal outputs in terms of changes in service coverage were modelled to estimate maternal and infant illnesses and deaths averted, and DALYs averted in Uttar Pradesh state of India. Probabilistic sensitivity analysis was undertaken to account for parameter uncertainties.
resultsCumulatively, from year 2011 to 2020, implementation of ReMiND intervention in UP would result in a reduction of 312 maternal and 149,468 neonatal deaths. This implies that ReMiND program led to a reduction of 0.2% maternal and 5.3% neonatal deaths. Overall, ReMiND is a cost saving intervention from societal perspective. From health system perspective, ReMiND incurs an incremental cost of INR 12,993 (USD 205) per DALY averted and INR 371,577 (USD 5865) per death averted.
conclusionsOverall, findings of our study suggest strongly that the mHealth intervention as part of ReMiND program is cost saving from a societal perspective and should be considered for replication elsewhere in other states.
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