ArticleJMIR mHealth and uHealth2014
SMARTHealth India: Development and Field Evaluation of a Mobile Clinical Decision Support System for Cardiovascular Diseases in Rural India.
Article in JMIR mHealth and uHealth, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 5 of them syntheses that pooled it.
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
70 citing papers in PubMed, 5 syntheses or guidelines pooled it, 136 citations in OpenAlex.
- Health workers' perceptions and experiences of using mHealth technologies to deliver primary healthcare services: a qualitative evidence synthesis.The Cochrane database of systematic reviews · 2020Pooled it
- How primary healthcare workers obtain information during consultations to aid safe prescribing in low-income and lower middle-income countries: a systematic review.BMJ global health · 2020Pooled it
- Taking stock of 10 years of published research on the ASHA programme: examining India's national community health worker programme from a health systems perspective.Health research policy and systems · 2019Pooled it
- Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature.Journal of medical Internet research · 2018Pooled it
- Barriers and Facilitators to the Use of Clinical Decision Support Systems in Primary Care: A Mixed-Methods Systematic Review.Annals of family medicinePooled it
- Preliminary effectiveness and feasibility of ASHA-led mobile health intervention for diabetes care in Indian primary health care settings.Scientific reports · 2025Trial
- Sociotechnical Intervention for Improved Delivery of Preventive Cardiovascular Care to Rural Communities: Participatory Design Approach.Journal of medical Internet research · 2022Trial
- Evaluation of community health worker's performance at home-based newborn assessment supported by mHealth in rural Bangladesh.BMC pediatrics · 2022Trial
- Integrated Management of Diabetes and Tuberculosis in Rural India - Results From a Pilot Study.Frontiers in public health · 2022Trial
- Trial
- Community level interventions for pre-eclampsia (CLIP) in India: A cluster randomised controlled trial.Pregnancy hypertension · 2020Trial
- Trial
- Evaluation of a training program of hypertension for accredited social health activists (ASHA) in rural India.BMC health services research · 2018Trial
- The impact of social determinants of health on acute kidney injury.Nature reviews. Nephrology · 2026Review
- Role of digital health interventions in strengthening human resources for primary healthcare systems in India: A systematic review.Journal of education and health promotion · 2026Review
- Article
- Study of anomaly registration detection based on multilayer kernel autoencoder extreme learning machine model.Scientific reports · 2025Article
- Exploring Heart Disease-Related mHealth Apps in India: Systematic Search in App Stores and Metadata Analysis.Journal of medical Internet research · 2025Article
- Potential effects of Whatsapp on maternal health services uptake during COVID-19: a cross-sectional study in Ghana.BMC health services research · 2025Article
- Article
10 more citing papers are in PubMed but not listed here.
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 at 5 institutions in 4 countries.
Funding
Abstract
backgroundCardiovascular disease (CVD) is the major cause of premature death and disability in India and yet few people at risk of CVD are able to access best practice health care. Mobile health (mHealth) is a promising solution, but very few mHealth interventions have been subjected to robust evaluation in India.
objectiveThe objectives were to develop a multifaceted, mobile clinical decision support system (CDSS) for CVD management and evaluate it for use by public nonphysician health care workers (NPHWs) and physicians in a rural Indian setting.
methodsPlain language clinical rules were developed based on standard guidelines and programmed into a computer tablet app. The algorithm was validated and field-tested in 11 villages in Andhra Pradesh, involving 11 NPHWs and 3 primary health center (PHC) physicians. A mixed method evaluation was conducted comprising clinical and survey data and in-depth patient and staff interviews to understand barriers and enablers to the use of the system. Then this was thematically analyzed using NVivo 10.
resultsDuring validation of the algorithm, there was an initial agreement for 70% of the 42 calculated variables between the CDSS and SPSS software outputs. Discrepancies were identified and amendments were made until perfect agreement was achieved. During field testing, NPHWs and PHC physicians used the CDSS to screen 227 and 65 adults, respectively. The NPHWs identified 39% (88/227) of patients for referral with 78% (69/88) of these having a definite indication for blood pressure (BP)-lowering medication. However, only 35% (24/69) attended a clinic within 1 month of referral, with 42% (10/24) of these reporting continuing medications at 3-month follow-up. Physicians identified and recommended 17% (11/65) of patients for BP-lowering medications. Qualitative interviews identified 3 interrelated interview themes: (1) the CDSS had potential to change prevailing health care models, (2) task-shifting to NPHWs was the central driver of change, and (3) despite high acceptability by end users, actual transformation was substantially limited by system-level barriers such as patient access to doctors and medicines.
conclusionsA tablet-based CDSS implemented within primary health care systems has the potential to help improve CVD outcomes in India. However, system-level barriers to accessing medical care limit its full impact. These barriers need to be actively addressed for clinical innovations to be successful.
trial registrationClinical Trials Registry of India: CTRI/2013/06/003753; http://ctri.nic.in/Clinicaltrials/showallp.php?mid1=6259&EncHid=51761.70513&userName=CTRI/2013/06/003753 (Archived by WebCite at http://www.webcitation.org/6UBDlrEuq).
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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.