Too much, too late': Mixed methods multi-channel video recording study of computerized decision support systems and GP prescribing

Journal of the American Medical Informatics Association

Volumn 20, Issue E1, 2013, Pages

  Hayward, James ^a   Thomson, Fionagh ^a   Milne, Heather ^a   Buckingham, Susan ^a   Sheikh, Aziz ^a   Fernando, Bernard ^a   Cresswell, Kathrin ^a   Williams, Robin ^a   Pinnock, Hilary ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPUTER; COMPUTERIZED DECISION SUPPORT SYSTEM; CONSULTATION; FEMALE; GENERAL PRACTITIONER; HUMAN; MALE; MEDICAL INFORMATION; PRESCRIPTION; PRIMARY MEDICAL CARE; VIDEORECORDING; CLINICAL COMPUTERISED DECISION SUPPORT (CDSS); CLINICAL PRACTICE; COMPUTER ASSISTED DRUG THERAPY; DECISION SUPPORT SYSTEM; DOCTOR PATIENT RELATION; ELECTRONIC MEDICAL RECORD; ELECTRONIC PRESCRIBING; METHODOLOGY; PRESCRIBING SAFETY; SAFETY ALERTS; TASK PERFORMANCE;

CLINICAL COMPUTERISED DECISION SUPPORT (CDSS); ELECTRONIC HEALTH RECORD; PRESCRIBING SAFETY; PRIMARY CARE; SAFETY ALERTS;

DECISION SUPPORT SYSTEMS, CLINICAL; DRUG THERAPY, COMPUTER-ASSISTED; ELECTRONIC PRESCRIBING; HUMANS; PHYSICIAN'S PRACTICE PATTERNS; PHYSICIAN-PATIENT RELATIONS; TASK PERFORMANCE AND ANALYSIS; VIDEO RECORDING;

MLCS; MLOWN;

EID: 84881349634     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2012-001484     Document Type: Article

References (52)

1. Department of Health. Building a safer NHS for patients: improving medication safety. London: DH, 2004.
2. Corrigan JM, Donaldson MD, Kohn LT, et al. Crossing the quality chasm: a new health system for the 21st century. Washington, DC: National Academy Press, 2001.
3. Stroetmann EN, Thierry J-P, Stroetmann KAA, et al. eHealth for safety. Impact of ICT on patient safety and risk management. Luxembourg: Office for Official Publications of the European Communities, 2007.
4. Safety and Quality Council. Second national report on patient safety, improving medication safety. Canberra: Australian Council for Safety and Quality in Health Care, 2002.
5. Duerden M, Millson D, Avery A, et al. The quality of GP prescribing. An inquiry into the quality of general practice in England. London: The Kings Fund, 2011.
6. Pearson SA, Moxey A, Robertson J, et al. Do computerised clinical decision support systems for prescribing change practice? A systematic review of the literature (1990-2007). BMC Health Serv Res 2009;9:154.
7. Avery T. Avoidable prescribing errors: communication and monitoring. Prescriber 2010;21:44-6.
8. Kaushal R, Shojania KG, Bates DW. Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review. Arch Intern Med 2003;163:1409-16.
9. Kaelber DC, Bates DW. Health information exchange and patient safety. J Biomed Inform 2007;40(6 Suppl):S40-5.
10. Karnon J, McIntosh A, Dean J, et al. A prospective hazard and improvement analytic approach to predicting the effectiveness of medication error interventions. Saf Sci 2007;45:523-39.
11. Avery AJ, Barber N, Ghaleb M, et al. Investigating the prevalence and causes of prescribing errors in general practice: The PRACtICe Study. 2012. A report for the GMC. http://www.gmc-uk.org/about/research/12996.asp (accessed Sep 2012).
12. Kuperman GJ, Bobb A, Payne TH, et al. Medication-related clinical decision support in computerized provider order entry systems: a review. J Am Med Inform Assoc 2007;14:29-40.
13. Schade CP, Sullivan FM, de Lusignan S, et al. e-Prescribing, efficiency, quality: lessons from the computerization of UK family practice. J Am Med Inform Assoc 2006;13:470-5.
14. Black AD, Car J, Pagliari C, et al. The impact of eHealth on the quality and safety of health care: a systematic overview. PLoS Med 2011;8:e1000387.
15. Koppel R, Metlay JP, Cohen A, et al. Role of computerized physician order entry systems in facilitating medication errors. JAMA 2005;293:1197-203.
16. Sittig DF, Wright A, Osheroff JA, et al. Grand challenges in clinical decision support. J Biomed Inform 2008;41:387-92.
17. Schedlbauer A, Prasad V, Mulvaney C, et al. What evidence supports the use of computerized alerts and prompts to improve clinicians' prescribing behavior? J Am Med Inform Assoc 2009;16:531-8.
18. Fernando B, Savelyich BS, Avery AJ, et al. Prescribing safety features of general practice computer systems: evaluation using simulated test cases. BMJ 2004;328:1171-2.
19. Cresswell KM, Sheikh A. Information technology-based approaches to reducing repeat drug exposure in patients with known drug allergies. J Allergy Clin Immunol 2008;121:1112-17.
20. van der Sijs H, Aarts J, Vulto A, et al. Overriding of drug safety alerts in computerized physician order entry. J Am Med Inform Assoc 2006;13:138-47.
21. Kesselheim AS, Cresswell K, Phansalkar S, et al. Clinical decision support systems could be modified to reduce 'alert fatigue' while still minimizing the risk of litigation. Health Aff (Millwood) 2011;30:2310-17.
22. Miller RA, Waitman LR, Chen S, et al. The anatomy of decision support during inpatient care provider order entry (CPOE): Empirical observations from a decade of CPOE experience at Vanderbilt. J Biomed Inform 2005;38:469-85.
23. Hsieh TC, Kuperman GJ, Jaggi T, et al. Characteristics and consequences of drug allergy alert overrides in a computerized physician order entry system. J Am Med Inform Assoc 2004;11:482-91.
24. Phansalkar S, Edworthy J, Hellier E, et al. A review of human factors principles for the design and implementation of medication safety alerts in clinical information systems. J Am Med Inform Assoc 2010;17:493-501.
25. Zachariah M, Phansalkar S, Seidling HM, et al. Development and preliminary evidence for the validity of an instrument assessing implementation of human-factors principles in medication-related decision-support systems- I-MeDeSA. J Am Med Inform Assoc 2011;18(Suppl 1):i62-72.
26. Hasley SK. Decision support and patient safety: the time has come. Am J Obstet Gynecol 2011;204:461-5.
27. Shah NR, Seger AC, Seger DL, et al. Improving acceptance of computerized prescribing alerts in ambulatory care. J Am Med Inform Assoc 2006;13:5-11.
28. Niazkhani Z, Pirnejad H, Berg M, et al. The impact of computerized provider order entry systems on inpatient clinical workflow: a literature review. J Am Med Inform Assoc 2009;16:539-49.
29. Kawamoto K, Houlihan CA, Balas EA, et al. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ 2005;330:765.
30. Virk P, Bates DW, Halamka J, et al. Analyzing transaction workflows in an ePrescribing system. AMIA Annu Symp Proc 2006:1129.
31. Russ AL, Zillich AJ, McManus MS, et al. A human factors investigation of medication alerts: barriers to prescriber decision-making and clinical workflow. AMIA Annu Symp Proc 2009;2009:548-52.
32. Khajouei R, Jaspers MW. The impact of CPOE medication systems' design aspects on usability, workflow and medication orders: a systematic review. Methods Inform Med 2010;49:3-19.
33. Garg AX, Adhikari NKJ, McDonald H, et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes. J Am Med Inform Assoc 2005;293:1223-38.
34. Baysari M, Westbrook J, Day R. Narrative review: errors in selecting medicines for prescription and the role of computerized decision support. Drug Safety 2011;34:289-98.
35. Pearce C, Arnold M, Phillips CB, et al. The many faces of the computer: An analysis of clinical software in the primary care consultation. Int J Med Inform 2012;81:475-84.
36. Britten N, Stevenson FA, Barry CA, et al. Misunderstandings in prescribing decisions in general practice: qualitative study. BMJ 2000;320:484-8.
37. Sheikh A, Cornford T, Barber N, et al. Implementation and adoption of nationwide electronic health records in secondary care in England: final qualitative results from prospective national evaluation in "early adopter" hospitals. BMJ 2011;343:d6054.
38. Robertson A, Cresswell K, Takian A, et al. Implementation and adoption of nationwide electronic health records in secondary care in England: qualitative analysis of interim results from a prospective national evaluation. BMJ 2010;341:c4564.
39. Greenhalgh T, Stramer K, Bratan T, et al. Adoption and non-adoption of a shared electronic summary record in England: a mixed-method case study. BMJ 2010;340: c3111.
40. Greenhalgh T, Stramer K, Bratan T, et al. Introduction of shared electronic records: multi-site case study using diffusion of innovation theory. BMJ 2008;337:a1786.
41. Davies E. English GP systems market. Woodcote Consulting, 2011. http://www.woodcote-consulting.com/?p=29 (accessed 8 Dec 2012).
42. Pinnock H, Cresswell K, Fernado B, et al. Evaluation of the effect of IT on interactions between healthcare workers and patients (NHS CFHEP 010) Connecting for Health Evaluation Programme. 2011. http://www.birmingham.ac.uk/research/activity/mds/projects/HaPS/PHEB/CFHEP/reports/projects/010.aspx (accessed Sep 2012).
43. de Lusignan S, Kumarapeli P, Chan T, et al. The ALFA (Activity Log Files Aggregation) toolkit: a method for precise observation of the consultation. J Med Internet Res 2008;10:e27.
44. de Lusignan S, Pearce C, Kumarapeli P, et al. Reporting observational studies of the use of information technology in the clinical consultation. A position statement from the IMIA Primary Health Care Informatics Working Group (IMIA PCI WG). Yearb Med Inform 2011;6:39-47.
45. Pflug B, Kumarapeli P, van Vlymen J, et al. Measuring the impact of the computer on the consultation: an open source application to combine multiple observational outputs. Inform Health Soc Care 2010;35:10-24.
46. Roter D, Larson S. The Roter interaction analysis system (RIAS): utility and flexibility for analysis of medical interactions. Pat Ed Counsel 2002;46:243-51.
47. s C. Does awareness of being video recorded affect doctors' consultation behaviour? Br J Gen Pract 1990;40:455-8.
48. Coleman T. Using video-recorded consultations for research in primary care: advantages and limitations. Fam Pract 2000;17:422-7.
49. Murphy E, Dingwall R, Greatbatch D, et al. Qualitative research methods in health technology assessment: a review of the literature. London: Health Technology Assessment, 1998.
50. Ludwick DA, Doucette J. Adopting electronic medical records in primary care: Lessons learned from health information systems implementation experience in seven countries. Int J Med Inform 2009;78:22-31.
51. Bates DW, Kuperman GJ, Wang S, et al. Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality. J Am Med Inform Assoc 2003;10:523-30.
52. Wyatt JC. Management of explicit and tacit knowledge. J R Soc Med 2001;94:6-9.