ArticlePloS one2013
Development and validation of a clinical and computerised decision support system for management of hypertension (DSS-HTN) at a primary health care (PHC) setting.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The trial behind it
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Who cites it
8 citing papers in PubMed.
- A mobile and web-based clinical decision support and monitoring system for diabetes mellitus patients in primary care: a study protocol for a randomized controlled trial.BMC medical informatics and decision making · 2017Trial
- Evaluation of effectiveness and cost-effectiveness of a clinical decision support system in managing hypertension in resource constrained primary health care settings: results from a cluster randomized trial.Journal of the American Heart Association · 2015Trial
- Analytical validation of Exandra: a clinical decision support system for promoting guideline-directed therapy of type-2 diabetes in primary care - a collaborative study with experts from Diabetes Canada.BMC medical informatics and decision making · 2025Article
- Interventions targeting hypertension and diabetes mellitus at community and primary healthcare level in low- and middle-income countries:a scoping review.BMC public health · 2019Article
- Development of mWellcare: an mHealth intervention for integrated management of hypertension and diabetes in low-resource settings.Global health action · 2018Article
- Description and Validation of TAVIApp: A Novel Mobile Application for Support of Physicians in the Management of Aortic Stenosis-Management of Aortic Stenosis with TAVIApp.BioMed research international · 2017Article
- Test Case Selection in Pre-Deployment Testing of Complex Clinical Decision Support Systems.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2016Article
- Rapid review: Identification of digital health interventions in atherosclerotic-related cardiovascular disease populations to address racial, ethnic, and socioeconomic health disparities.Cardiovascular digital health journalReview
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundHypertension remains the top global cause of disease burden. Decision support systems (DSS) could provide an adequate and cost-effective means to improve the management of hypertension at a primary health care (PHC) level in a developing country, nevertheless evidence on this regard is rather limited.
methodsDevelopment of DSS software was based on an algorithmic approach for (a) evaluation of a hypertensive patient, (b) risk stratification (c) drug management and (d) lifestyle interventions, based on Indian guidelines for hypertension II (2007). The beta testing of DSS software involved a feedback from the end users of the system on the contents of the user interface. Software validation and piloting was done in field, wherein the virtual recommendations and advice given by the DSS were compared with two independent experts (government doctors from the non-participating PHC centers).
resultsThe overall percent agreement between the DSS and independent experts among 60 hypertensives on drug management was 85% (95% CI: 83.61-85.25). The kappa statistic for overall agreement for drug management was 0.659 (95% CI: 0.457-0.862) indicating a substantial degree of agreement beyond chance at an alpha fixed at 0.05 with 80% power. Receiver operator curve (ROC) showed a good accuracy for the DSS, wherein, the area under curve (AUC) was 0.848 (95% CI: 0.741-0.948). Sensitivity and specificity of the DSS were 83.33 and 85.71% respectively when compared with independent experts.
conclusionA point of care, pilot tested and validated DSS for management of hypertension has been developed in a resource constrained low and middle income setting and could contribute to improved management of hypertension at a primary health care level.
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