'Decision support system (DSS) for prevention of cardiovascular disease (CVD) among hypertensive (HTN) patients in Andhra Pradesh, India'--a cluster randomised community intervention trial
- PMID: 22650767
- PMCID: PMC3461419
- DOI: 10.1186/1471-2458-12-393
'Decision support system (DSS) for prevention of cardiovascular disease (CVD) among hypertensive (HTN) patients in Andhra Pradesh, India'--a cluster randomised community intervention trial
Abstract
Background: Very few studies having decision support systems as an intervention report on patient outcomes for cardiovascular disease in the Western world. The potential role of decision support system for the management of blood pressure among Indian hypertensives remains unclear. We propose a cluster randomised trial that aims to test the effectiveness and cost effectiveness of DSS among Indian hypertensive patients.
Methods: The trial design is a cluster randomised community intervention trial, in which the participants would be adult male and female hypertensive patients, in the age group of 35 to 64 years, reporting to the Primary Health Care centres of Mahabubnagar district, Andhra Pradesh, India. The objective of the study is to test the effectiveness and compare the cost effectiveness and cost utility among hypertensive subjects randomized to receive either decision support system or a chart based algorithmic support system in urban and rural areas of a district in the state of Andhra Pradesh, India (baseline versus 12 months follow up). The primary outcome would be a comparison of the systolic blood pressure at 0 and 12 months among hypertensive patients randomized to receive the decision support system or the chart based algorithmic support system. Computer generated randomisation and an investigator and analyser blinded method would be followed. 1600 participants; 800 to each arm; each arm having eight clusters of hundred participants each have been recruited between 01 August 2011 - 01 March 2012. A twelve month follow up will be completed by March 2013 and results are expected by April 2013.
Discussion: This cluster randomized community intervention trial on DSS will enable policy makers to find out the effectiveness, cost effectiveness and cost utility of decision support system for management of blood pressure among hypertensive patients in India. Most of the previous studies on decision support system have focused on physician performance, adherence and on preventive care reminders. The uniqueness of the proposed study lies in finding out the effectiveness of a decision support system on patient related outcomes.
Trial registration: CTRI/2012/03/002476, Clinical Trial Registry - India.
Figures
Similar articles
-
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.J Am Heart Assoc. 2015 Jan 5;4(1):e001213. doi: 10.1161/JAHA.114.001213. J Am Heart Assoc. 2015. PMID: 25559011 Free PMC article. Clinical Trial.
-
Protocol for the mWellcare trial: a multicentre, cluster randomised, 12-month, controlled trial to compare the effectiveness of mWellcare, an mHealth system for an integrated management of patients with hypertension and diabetes, versus enhanced usual care in India.BMJ Open. 2017 Aug 11;7(8):e014851. doi: 10.1136/bmjopen-2016-014851. BMJ Open. 2017. PMID: 28801393 Free PMC article. Clinical Trial.
-
m-Power Heart Project - a nurse care coordinator led, mHealth enabled intervention to improve the management of hypertension in India: study protocol for a cluster randomized trial.Trials. 2018 Aug 7;19(1):429. doi: 10.1186/s13063-018-2813-2. Trials. 2018. PMID: 30086778 Free PMC article.
-
A systematic review of the use of computers in the management of hypertension.J Epidemiol Community Health. 1998 Aug;52(8):520-5. doi: 10.1136/jech.52.8.520. J Epidemiol Community Health. 1998. PMID: 9876364 Free PMC article.
-
A Scoping Review of Interventions for Prevention and Control of Hypertension in India.Indian J Public Health. 2023 Jan 1;67(Suppl 1):S41-S49. doi: 10.4103/ijph.ijph_673_23. Epub 2024 Jan 31. Indian J Public Health. 2023. PMID: 38934881
Cited by
-
Development and validation of a clinical and computerised decision support system for management of hypertension (DSS-HTN) at a primary health care (PHC) setting.PLoS One. 2013 Nov 5;8(11):e79638. doi: 10.1371/journal.pone.0079638. eCollection 2013. PLoS One. 2013. PMID: 24223984 Free PMC article.
-
Organisation of primary health care systems in low- and middle-income countries: review of evidence on what works and why in the Asia-Pacific region.BMJ Glob Health. 2019 Aug 16;4(Suppl 8):e001487. doi: 10.1136/bmjgh-2019-001487. eCollection 2019. BMJ Glob Health. 2019. PMID: 31478026 Free PMC article.
-
Expression and methylation of circulating microRNA-510 in essential hypertension.Hypertens Res. 2017 Apr;40(4):361-363. doi: 10.1038/hr.2016.147. Epub 2016 Nov 24. Hypertens Res. 2017. PMID: 27881848
-
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.J Am Heart Assoc. 2015 Jan 5;4(1):e001213. doi: 10.1161/JAHA.114.001213. J Am Heart Assoc. 2015. PMID: 25559011 Free PMC article. Clinical Trial.
-
Computer-generated reminders delivered on paper to healthcare professionals: effects on professional practice and healthcare outcomes.Cochrane Database Syst Rev. 2017 Jul 6;7(7):CD001175. doi: 10.1002/14651858.CD001175.pub4. Cochrane Database Syst Rev. 2017. PMID: 28681432 Free PMC article.
References
-
- Leeder S, Raymond S, Greenberg H, Liu H, Esson K. A race against time. Columbia University, The challenge of cardiovascular disease in developing economies. New York; 2004.
-
- Srinath Reddy K, Bela Shah, Cherian Varghese, Anbumani Ramadoss. Responding to the threat of chronic diseases in India. Lancet. 2005;366:1746–1751. - PubMed
-
- Gupta R. Trends in hypertension epidemiology in India. J Hum Hypertens. 2004;18:73–78. - PubMed
-
- Mackay J, Mensah G. Atlas of Heart Disease and Stroke. World Health Organization, Geneva; 2004.
-
- Lopez Alan D, Mathers Colin D, Majid Ezzati, Jamison Dean T, Murray Christopher J L. Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data. Lancet. 2006;367:1747–1757. - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous