Acta Med. 2017, 60: 97-107

https://doi.org/10.14712/18059694.2018.1

Computer-Assisted versus Oral-and-Written History Taking for the Prevention and Management of Cardiovascular Disease: a Systematic Review of the Literature

Yannis Pappasa, Jitka Všetečkováb, Shoba Poduvalc, Pei Ching Tsenga, Josip Card

aInstitute for Health Research, University of Bedfordshire, United Kingdom
bSchool of Well Being, Education and Language Studies, Open University, United Kingdom
cSchool of Health Sciences, City University London, London, United Kingdom
dLee Kong Chian School of Medicine, Imperial College and Nanyang Technological University, Singapore

Received June 13, 2016
Accepted September 14, 2017

References

1. Auerbach AD, Landefeld CS, Shojania KG. The tension between needing to improve care and knowing how to do it. N Engl J Med 2007; 357: 608–613. <https://doi.org/10.1056/NEJMsb070738>
2. Bachman JW. The patient-computer interview: a neglected tool that can aid the clinician. Mayo Clin Proc 2003; 78: 67–78. <https://doi.org/10.4065/78.1.67>
3. Baer HJ, Schneider LI, Colditz GA, et al. Evaluation of a web-based risk assessment tool in the primary care setting. J Gen Intern Med 2012; 27: 187.
4. Benaroia M, Elinson R, Zarnke K. Patient-directed intelligent and interactive computer medical history-gathering systems: a utility and feasibility study in the emergency department. Int J Med Inform 2007; 76: 283–288. <https://doi.org/10.1016/j.ijmedinf.2006.01.006>
5. Bowling A. Mode of questionnaire administration can have serious effects on data quality. J Public Health 2005; 27: 281–291. <https://doi.org/10.1093/pubmed/fdi031>
6. Bruce G, Bender BG, Bartlett SJ, et al. Impact of interview mode on accuracy of child and parent report of adherence with asthma-controller medication. Pediatrics 2007; 120: 471–477.
7. Bulpitt CJ, Beilin LJ, Coles EC, et al. Randomised controlled trial of computer-held medical records. BMJ 1976; 1: 1533. <https://doi.org/10.1136/bmj.1.6024.1533-b> <PubMed>
8. Dale O, Hagen KB. Despite technical problems personal digital assistants outperform pen and paper when collecting patient diary data. J Clin Epidemiol 2007; 60: 8-17. <https://doi.org/10.1016/j.jclinepi.2006.04.005>
9. Department of Health. Putting Prevention First, www.dh.gov.uk/en /Publicationsandstatistics/Publications/PublicationsPolicyAnd Guidance (2008, accessed 1 March 2017).
10. Department of Health. Economic Modelling for Vascular Checks, www.dh.gov.uk/en/Publicationsandstatistics/Publications /PublicationsPolicyAndGuidance/DH_085869 (2008, accessed 1 March 2017).
11. Chaudhry B, Wang J, Wu S, et al. Systematic review: impact of health information technology on quality, efficiency, and costs of medical care. Ann Intern Med 2006; 144: 742–752. <https://doi.org/10.7326/0003-4819-144-10-200605160-00125>
12. Cohen J. A coefficient of agreement for nominal scales. Educ Psychol Meas 1960; 20: 37–46. <https://doi.org/10.1177/001316446002000104>
13. Davis RM, Hitch AD, Salaam MM, Herman WH, Zimmer-Galler IE, Mayer-Davis EJ. TeleHealth improves diabetes self-management in an underserved community: diabetes TeleCare. Diabetes Care 2010; 33: 1712–1717. <https://doi.org/10.2337/dc09-1919> <PubMed>
14. Furlan AD, Malmivaara A, Chou R, et al. 2015 Updated Method Guideline for Systematic Reviews in the Cochrane Back and Neck Group. Spine 2015; 40(21): 1660–1673. <https://doi.org/10.1097/BRS.0000000000001061>
15. Farzanfar R. When computers should remain computers: a qualitative look at the humanization of health care technology. Health Informatics J 2006; 12: 239–254. <https://doi.org/10.1177/1460458206066663>
16. Galliher JM, Stewart TV, Pathak PK, Werner JJ, Dickinson LM, Hickner JM. Data collection outcomes comparing paper forms with PDA forms in an office-based patient survey. Ann Fam Med 2008; 6: 154–160. <https://doi.org/10.1370/afm.762> <PubMed>
17. Gill JM, Chen YX, Glutting JJ, Diamond JJ, Lieberman MI. Impact of decision support in electronic medical records on lipid management in primary care. Popul Health Manag 2009; 12: 221–226. <https://doi.org/10.1089/pop.2009.0003>
18. Grizzle AJ, Mahmood MH, Ko Y, et al. Reasons provided by prescribers when overriding drug-drug interaction alerts. Am J Manag Care 2007; 13: 573–578.
19. Higgins JP, Altman DG. On behalf of the Cochrane Statistical Methods Group and the Cochrane Bias Methods Group. Chapter 8: Assessing risk of bias in included studies. In: Higgins JP, Green S, eds. Cochrane Handbook for Systematic Reviews of Interventions. Version 5.1.0 (updated March 2011), www.cochrane-handbook.org (2011, accessed 1 March 2017).
20. Hivert MF, Grant RW, Shrader P, Meiqs JB. Identifying primary care patients at risk for future diabetes and cardiovascular disease using electronic health records. BMC Health Serv Res 2009; 9: 170. <https://doi.org/10.1186/1472-6963-9-170> <PubMed>
21. Hogan WR, Wagner MM. Accuracy of data in computer-based patient records. J Am Med Inform Assoc 1997; 4: 342–355. <https://doi.org/10.1136/jamia.1997.0040342> <PubMed>
22. Holbrook A, Pullenayegum E, Thabane L, et al. Shared electronic vascular risk decision support in primary care: Computerization of medical practices for the enhancement of therapeutic effectiveness (COMPETE III) randomized trial. Arch Intern Med 2011; 171: 1736–1744. <https://doi.org/10.1001/archinternmed.2011.471>
23. Howson CP, Reddy KS, Ryan TJ, Bale JR. Control of cardiovascular diseases in developing countries: research, development, and institutional strengthening. Washington, DC: National Academies Press, 1998.
24. Jaya MJH, Ahmed S. Differences in young people’s reports of sexual behaviors according to interview methodology: a randomized trial in India. Am J Public Health 2008; 98: 169–174. <https://doi.org/10.2105/AJPH.2006.099937> <PubMed>
25. Khambatta S, Bjerke MC, Kopecky SL, Thomas RJ, Allison TG, Lopez-Jiminez F. Abstract P137: Recognition of cardiovascular risk factors and Implementation of primary prevention Interventions with utilization of an on-line form. Circ Cardiovasc Qual Outcomes 2011; 4.
26. Lane SJ, Heddle NM, Arnold E, Walker I. A review of randomized controlled trials comparing the effectiveness of hand held computers with paper methods for data collection. BMC Med Inform Decis Mak 2006; 6: 1–10. <https://doi.org/10.1186/1472-6947-6-23> <PubMed>
27. Lau J, Ioannidis JP, Terrin N, Schmid CH, Olkin I. Evidence based medicine: The case of the misleading funnel plot. BMJ 2006; 333: 597–600. <https://doi.org/10.1136/bmj.333.7568.597> <PubMed>
28. Lefebvre C, Manheimer E, Glanville J. Chapter 6: Searching for studies. In: Higgins JP, Green S, eds. Cochrane Handbook for Systematic Reviews of Interventions. Version 5.1.0 (updated March 2011), www.cochrane-handbook.org (2011, accessed 1 March 2017).
29. Liberati A, Altman D, Tetzlaff J, et al. The PRISMA statement for reporting systematic and meta-analyses of studies that evaluate interventions: explanation and elaboration. PLoS Med 2009; 6: e1000100. <https://doi.org/10.1371/journal.pmed.1000100> <PubMed>
30. Llewelyn H. Challenges to implementing NPfIT: Computerised medical history is key to connecting health. BMJ 2005; 331: 516–517. <https://doi.org/10.1136/bmj.331.7515.516-c> <PubMed>
31. Lozano R, et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012; 380: 2095–2128. <https://doi.org/10.1016/S0140-6736(12)61728-0> <PubMed>
32. Lowensteyn I, Joseph L, Levinton C. Can computerized risk profiles help patients improve their coronary risk? The results of the Coronary Health Assessment Study (CHAS). Prev Med 1988; 27: 730–737. <https://doi.org/10.1006/pmed.1998.0351>
33. Mayne JG, Weksel W, Sholtz PN. Toward automating the medical history. Mayo Clin Proc 1968; 43: 1–25.
34. NHS. Healthspace, www.healthspace.nhs.uk (2009, accessed 1 March 2017).
35. Pappas Y, Anandan C, Liu J, Car J, Sheikh A, Majeed A. Computer-assisted history-taking systems (CAHTS) in health care: benefits, risks and potential for further development. Inform Prim Care 2011; 19: 155–160.
36. Poissant L, Pereira J, Tamblyn R, Kawasumi Y. The impact of electronic health records on time efficiency of physicians and nurses: a systematic review. J Am Med Inform Assoc 2005; 12: 505–516. <https://doi.org/10.1197/jamia.M1700> <PubMed>
37. Quinn P, Goka J and Richardson H. Assessment of an electronic daily diary in patients with overactive bladder. BJU Int 2003; 91: 647-652. <https://doi.org/10.1046/j.1464-410X.2003.04168.x>
38. RelayHealth, www.relayhealth.com/general/news/newsArchive /news54.aspx (2009, accessed 1 March 2017.
39. Rogers JL, Haring OM, Wortman PM, Watson RA, Goetz JP. Medical information systems: assessing impact in the areas of hypertension, obesity and renal disease. Med Care 1982; 20: 63–74. <https://doi.org/10.1097/00005650-198201000-00005>
40. World Health Organization. The World Health Report 1999: Making a Difference. WHO 1999: 136.
41. Sequist TD, Morong SM, Marston A, et al. Electronic risk alerts to improve primary care management of chest pain: a randomized, controlled trial. J Gen Intern Med 2011; 26: 106.
42. Sequist TD, Morong SM, Marston A, et al. Electronic risk alerts to improve primary care management of chest pain: a randomized, controlled trial. J Gen Intern Med 2012; 27: 438–444. <https://doi.org/10.1007/s11606-011-1911-6> <PubMed>
43. Sheridan SL, Shadle J, Simpson RJ, Pignone MP. The impact of a decision aid about heart disease prevention on patients discussions with their doctor and their plans for prevention: a pilot randomized trial. BMC Health Serv Res 2006; 6: 121. <https://doi.org/10.1186/1472-6963-6-121> <PubMed>
44. Sheridan SL, Draeger LB, Pignone MP, et al. A randomized trial of an intervention to improve use and adherence to effective coronary heart disease prevention strategies. BMC Health Serv Res 2011; 11: 331. <https://doi.org/10.1186/1472-6963-11-331> <PubMed>
45. Sidorov J. It ain’t necessarily so: the electronic health record and the unlikely prospect of reducing health care costs. Health Aff 2006; 25: 1079–1085. <https://doi.org/10.1377/hlthaff.25.4.1079>
46. Slack WV, Van Cura LJ. Computer-based patient interviewing. 1. Postgrad Med 1968; 43: 68-74.a <https://doi.org/10.1080/00325481.1968.11693177>
47. Slack WV, Van Cura LJ. Computer-based patient interviewing. Postgrad Med 1968; 43: 115–120.b <https://doi.org/10.1080/00325481.1968.11693217>
48. Sterne JA, Egger M, Smith GD. Systematic reviews in health care: Investigating and dealing with publication and other biases in meta- analysis. BMJ 2001; 323: 101–105. <https://doi.org/10.1136/bmj.323.7304.101> <PubMed>
49. Tang PC, Jaworski MA, Fellencer CA, et al. Methods for assessing information needs of clinicians in ambulatory care. Proc Annu Symp Comput Appl Med Care 1995: 630–634.
50. Tang PC, Jaworski MA, Fellencer CA, Kreider N, LaRosa MP, Marquardt WC. Clinician information activities in diverse ambulatory care practices. Proc AMIA Annu Fall Symp 1996: 12–16.
51. Thompson PD. Exercise and physical activity in the prevention and treatment of atherosclerotic cardiovascular disease. Arterioscler Thromb Vasc Biol 2003; 23: 1319–1321. <https://doi.org/10.1161/01.ATV.0000087143.33998.F2>
52. Turner CF, Ku L, Rogers SM, Lindberg LD, Pleck JH, Sonenstein FL. Adolescent sexual behavior, drug use, and violence: increased reporting with computer survey technology. Science 1998; 280: 867–873. <https://doi.org/10.1126/science.280.5365.867>
53. Van Wyk JT, Van Wijk MA, Moorman PW, Mosseveld M, Van Der Lei J. Cholgate-a randomized controlled trial comparing the effect of automated and on-demand decision support on the management of cardiovascular disease factors in primary care. AMIA Annu Symp Proc 2003: 1040.
54. Ruffin MT, Nease DE Jr, Sen A, et al. Effect of preventive messages tailored to family history on health behaviors: the family healthware impact trial. Ann Fam Med 2011; 9: 3–11. <https://doi.org/10.1370/afm.1197> <PubMed>
55. Wakefield BJ, Holman JE, Ray A, Scherubel M, Adams MR, Rosenthal GE. Outcomes of a home telehealth intervention for patients with diabetes and hypertension. Telemed J E Health 2012; 18: 575–579. <https://doi.org/10.1089/tmj.2011.0237>
56. Wei I, Pappas Y, Car J, Sheikh A, Majeed A. Computer-assisted versus oral and-written dietary history taking for diabetes mellitus. Cochrane Database Syst Rev 2011; 7.
57. Wolford G, Rosenberg SD, Rosenberg HJ, et al. A clinical trial comparing interviewer and computer-assisted assessment among clients with severe mental illness. Psychiatr Serv 2008; 59: 769–775. <https://doi.org/10.1176/ps.2008.59.7.769>
58. World Health Organization. Cardiovascular diseases (CVDs): Fact sheet, www.who.int/mediacentre/factsheets/fs317/en/index.html (2011, accessed 1 March 2017).
59. World Health Organization. Prevention of cardiovascular disease: pocket guidelines for assessment and management of cardiovascular risk, www.apps.who.int/iris/handle/10665/43784 (2007, accessed 1 March 2017).
front cover

ISSN 1211-4286 (Print) ISSN 1805-9694 (Online)

Open access journal

Archive