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

Volumn 8, Issue 11, 2013, Pages

  Anchala, Raghupathy ^a,b   Di Angelantonio, Emanuele ^a   Prabhakaran, Dorairaj ^b,c   Franco, Oscar H ^d  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b PUBLIC HEALTH FOUNDATION OF INDIA   (India)

^c CENTRE FOR CHRONIC DISEASE CONTROL   (India)

^d ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; COMPUTER INTERFACE; COMPUTER PROGRAM; CONTROLLED STUDY; DECISION SUPPORT SYSTEM; HEALTH CARE QUALITY; HIGH RISK POPULATION; HOSPITAL INFORMATION SYSTEM; HUMAN; HYPERTENSION; KNOWLEDGE BASE; LIFESTYLE MODIFICATION; LOWEST INCOME GROUP; MAJOR CLINICAL STUDY; MEDICAL EXPERT; MIDDLE INCOME GROUP; PHARMACEUTICAL CARE; PILOT STUDY; PRACTICE GUIDELINE; PRIMARY HEALTH CARE; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; SOCIAL STATUS; VALIDATION PROCESS; VIRTUAL REALITY;

BLOOD PRESSURE; CLINICAL COMPETENCE; DECISION SUPPORT SYSTEMS, CLINICAL; EVIDENCE-BASED MEDICINE; HUMANS; HYPERTENSION; PHYSICIANS; PILOT PROJECTS; PRIMARY HEALTH CARE; SOFTWARE;

EID: 84892382127     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0079638     Document Type: Article

References (26)

1. Leeder S, Raymond S, Greenberg H, Liu H, Esson K (2004) A race against time. The challenge of cardiovascular disease in developing economies. New York: Columbia University.
2. Srinath Reddy K, Shah B, Varghese C, Ramadoss A (2005) Responding to the threat of chronic diseases in India. Lancet 366: 1744-1749. PubMed: 16291069.
3. Gupta R (2004) Trends in hypertension epidemiology in India. J Hum Hypertens 18: 73-78. doi:10.1038/sj.jhh.1001633. PubMed: 14730320.
4. Mackay J, Mensah G (2004) Atlas of Heart Disease and Stroke. Geneva: World Health Organization.
5. Lopez Alan D, Mathers Colin D, Ezzati Majid, Jamison Dean T, Murray Christopher JL (2006) Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data. Lancet 367: 1747-1757. doi:10.1016/S0140-6736(06)68770-9. PubMed: 16731270.
6. Kearney PM, Whelton M, Reynolds K, Muntner P, Whelton PK et al. (2005) Global burden of hypertension: analysis of worldwide data. Lancet 365: 217-223. doi:10.1016/S0140-6736(05)17741-1. PubMed: 15652604.
7. Thankappan KR, Sivasankaran S, Khader SA, Sarma PS, Mini GK et al. (2006) Prevalence, correlates, awareness, treatment and control of hypertension in Kumarakom, Kerala: baseline results of a community-based intervention program. Indian Heart J 58: 28-33. PubMed: 18984927.
8. Gupta R (1997) Meta-analysis of prevalence of hypertension in India. Indian Heart J 49: 337-338. PubMed: 929166793586789130424.
9. Das SK, Sanyal K, Basu A (2005) Study of urban community survey in India: growing trend of high prevalence of hypertension in a developing country. Int J Med Sci 2: 70-78. PubMed: 15968343.
10. Anderson JA, Willson P, Peterson NJ, Murphy C, Kent TA (2010) Prototype to practice: Developing and testing a clinical decision support system for secondary stroke prevention in a veterans healthcare facility. Comput Inform. Nurs 28: 353-363.
11. Garg AX, Adhikari NK, McDonald H, Rosas-Arellano MP, Devereaux PJ et al. (2005) Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA 293: 1223-1238. doi:10.1001/jama. 293.10.1223. PubMed: 15755945.
12. Shojania KG, Jennings A, Mayhew A, Ramsay CR, Eccles MP et al. (2009) The effects of on-screen, point of care computer reminders on processes and outcomes of care. Cochrane Database Syst Rev CD: 001096. PubMed: 19588323.
13. Goldstein MK, Hoffman BB, Coleman RW, Musen MA, Tu SW et al. (2000) Implementing clinical practice guidelines while taking account of changing evidence: ATHENA DSS, an easily modifiable decision-support system for managing hypertension in primary care. Proc AMIA Symp: 300-304. PubMed: 11079893.
14. Goldstein MK (2008) Using health information technology to improve hypertension management. Curr Hypertens Rep 10(3): 201-207. doi: 10.1007/s11906-008-0038-6. PubMed: 18765090.
15. Martins SB, Lai S, Tu S, Shankar R, Hastings SN et al. (2006) Offline testing of the ATHENA Hypertension decision support system knowledge base to improve the accuracy of recommendations. AMIA Annu Symp Proc: 539-543. PubMed: 17238399.
16. Persson M, Mjoè Rndal T, Carlberg B, Bohlin J, Lindholm IH (2000) Evaluation of a computer-based decision support system for treatment of hypertension with drugs: retrospective, nonintervention testing of cost and guideline adherence. J Intern Med 247: 87-93. doi:10.1046/j. 1365-2796.2000.00581.x. PubMed: 10672135.
17. Indian Hypertension Guidelines-II (2007). Available: http://apiindia.org/ hsi-guideline-ii.html. Accessed 01 January 2013.
18. Kim HY, Kim JH, Cho I, Lee JH, Kim Y (2010) Verification & validation of the knowledge base for the hypertension management DSS. Stud Health Technol Inform160 (2): 1140-1144.
19. Séroussi B, Bouaud J (2004) Reminder-based or on-demand decision support systems: a preliminary study in primary care with the management of hypertension. Stud Health Technol Inform 101: 142-146. PubMed: 15537217.
20. Di Lin Xidong Zhang, Fabrice Labeau, Kang G (2012) Analysis on the Accuracy of a Decision Support System for Hypertension Monitoring. IEEE: Proceedings of the 75th IEEE Vehicular Technology Conference, VTC. Spring (2012), Yokohama, Japan, May 6-9, 2012 pp. 1-5 doi: 10.1109/VETECS.2012.6239914. Available. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6239914. Accessed 22 March 2013.
21. Campbell JR, Tu SW, Mansfield JG, Boyer JI, McClay J et al. (2003) The SAGE Guideline Model: A Knowledge Representation Framework for Encoding Interoperable Clinical Practice Guidelines. Available: http://bmir.stanford.edu/ file-asset/index.php/35/BMIR-2003-0962.pdf. Accessed 21 March 2013.
22. Tu SW, Campbell JR, Glasgow J, Nyman MA, McClure R et al. (2007) The SAGE Guideline Model: achievements and overview. J Am Med Inform Assoc 14: 589-598. doi:10.1197/jamia.M2399. PubMed: 17600098.
23. Friedman C, Wyatt J (1997) Evaluation Methods in Medical Informatics. New York: Springer-Verlag.
24. Miller RA (1996) Evaluating evaluations of medical diagnostic systems. J Am Med Inform Assoc; 3(6): 429-431. doi:10.1136/jamia. 1996.97084516. PubMed: 8930859.
25. Chaea YM, Chob SY, Kangb SM, Kima HY, Kima TS et al. (2003) Clinical Decision Support System for Hypertension Management. Available: http://kosmi.snubi.org/2003-fall/APAMI-CJKMI/O11-4-005- %EC%B1%84%EC%98%81%EB%AC%B8-0728-revised.pdf. Accessed 21 March 2013.
26. Anchala R, Pant H, Prabhakaran D, Franco OH (2012) Decision support system (DSS) for prevention of cardiovascular disease (CVD) among hypertensive (HTN) patients in Andhra Pradesh, India - a cluster randomised community intervention trial. BMC Public Health 12: 393. doi:10.1186/1471-2458-12-393. PubMed: 22650767.