Improving performance in medical practices through the extended use of electronic medical record systems: A survey of Canadian family physicians Healthcare Information Systems

BMC Medical Informatics and Decision Making

Volumn 15, Issue 1, 2015, Pages

  Raymond, Louis ^a   Paré, Guy ^b   Ortiz De Guinea, Ana ^b   Poba Nzaou, Placide ^c   Trudel, Marie Claude ^b   Marsan, Josianne ^d   Micheneau, Thomas ^b  

^a UNIVERSITÉ DU QUÉBEC À TROIS RIVIÈRES   (Canada)

^b HEC MONTRÉAL   (Canada)

^c UNIVERSITÉ DU QUÉBEC À MONTRÉAL   (Canada)

^d UNIVERSITÉ LAVAL   (Canada)

Author keywords

Ease of use; Electronic medical records; Extended use; Family physicians; Functional coverage; Primary care; Structural equation modeling; Survey research; User satisfaction

Indexed keywords

ADULT; ELECTRONIC HEALTH RECORD; GENERAL PRACTICE; GENERAL PRACTITIONER; HEALTH CARE SURVEY; HEALTH SERVICES RESEARCH; HUMAN; PRIVATE PRACTICE; PROCEDURES; QUEBEC; STANDARDS; UTILIZATION;

ADULT; ELECTRONIC HEALTH RECORDS; FAMILY PRACTICE; HEALTH CARE SURVEYS; HEALTH SERVICES RESEARCH; HUMANS; PHYSICIANS, FAMILY; PRIVATE PRACTICE; QUEBEC;

EID: 84927758704     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/s12911-015-0152-8     Document Type: Article

References (88)

1. Bodenheimer T, Wagner EH, Grumbach K. Improving primary care for patients with chronic illness. J Am Med Assoc. 2002;288(14):1775-9.
2. Broemeling AM, Watson DE, Prebtani F. Population patterns of chronic health conditions, co-morbidity and healthcare use in Canada: implications for policy and practice. Healthcare Quart. 2008;11(3):70-6.
3. Miller RH, Sim I. Physicians' use of electronic medical records: barriers and solutions. Health Affair. 2004;23(2):116-26.
4. 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.
5. Schoen C, Osborn R, Squires D, Doty M, Rasmussen P, Pierson R, et al. A survey of primary care doctors in ten countries shows progress in use of health information technology, less in other areas. Health Affair. 2012;31(12):2805-16.
6. Lau F, Price M, Boyd J, Partridge C, Bell H, Raworth R. Impact of electronic medical record on physician practice in office settings: a systematic review. BMC Med Inform Decis. 2012;12(10):1-10.
7. Holroyd-Leduc JM, Lorenzetti D, Straus SE, Sykes L, Quan H. The impact of the electronic medical record on structure, process, and outcomes within primary care: a systematic review of the evidence. J Am Med Inform Assoc. 2011;18:732-7.
8. Price M, Singer A, Kim J. Adopting electronic medical records: are they just electronic paper records? Can Fam Physician. 2013;59:e322-9.
9. Bouamrane MM, Mair FS. A study of general practitioners' perspectives on electronic medical records systems in NHSScotland. BMC Med Inform Decis. 2013;13:58.
10. Gans D, Kralewski J, Hammons T, Dowd B. Medical groups' adoption of electronic health records and information systems. Health Affair. 2005;24(5):1323-33.
11. Menachemi N. Barriers to ambulatory EHR: who are 'imminent adopters' and how do they differ from other physicians? Inform Prim Care. 2006;14(2):101-8.
12. Saga VL, Zmud RW. The nature and determinants of IT acceptance, routinization and infusion. In: Levine L, editor. Diffusion, transfer and implementation of information technology. Amsterdam: North-Holland; 1994. p. 67-86.
13. Hsieh JJPA, Wang W. Explaining employees' extended use of complex information systems. Eur J Inform Syst. 2007;16(3):216-27.
14. Lepanto L, Paré G, Aubry D, Robillard P, Lesage J. Impacts of PACS on dictation turnaround time and productivity. J Digit Imaging. 2006;19(1):92-7.
15. Wells S, Furness S, Rafter N, Horn E, Whittaker R, Stewart A. Integrated electronic decision support increases cardiovascular disease risk assessment four fold in routine primary care practice. Eur J Cardiov Prev R. 2008;15:173-8.
16. Spaulding TJ, Raghu TS. Impact of CPOE usage on medication management process costs and quality outcomes. Inquiry. 2013;50(3):229-47.
17. Jones SS, Rudin RS, Perry T, Shekelle PG. Health information technology: an updated systematic review with a focus on meaningful use. Ann Intern Med. 2014;160(1):48-54.
18. Petter S, DeLone W, McLean ER. The past, present, and future of "IS success". J Assoc Inform Syst. 2012;43:341-62.
19. Gelderman M. The relation between user satisfaction, usage of information systems and performance. Inform Manage. 1998;34(1):11-9.
20. Paré G, Trudel MC, Forget P. Adoption, use and impact of e-booking in private medical practices: mixed-methods evaluation of a two-year showcase project in Canada. JMIR Med Inform. 2014;2(2), e24.
21. Iivari J. An empirical test of the DeLone-McLean model of information system success. Data Base Adv Inform Syst. 2005;26(2):8-27.
22. Sicotte C, Paré G, Moreault MP, Lemay A, Valiquette L, Barkun J. Replacing an inpatient electronic medical record: lessons learned from user satisfaction with the previous system. Method Inform Med. 2009;48(1):92-100.
23. van der Meijden MJ, Tange HJ, Troost J, Hasman A. Determinants of success of inpatient clinical information systems: a literature review. J Am Med Inform Assoc. 2003;10(3):235-43.
24. DeLone WH, McLean ER. The DeLone and McLean model of information systems success: a ten-year update. J Manage Inform Syst. 2003;19(4):9-30.
25. Petter S, McLean ER. A meta-analytic assessment of the DeLone and McLean IS success model: an examination of IS success at the individual level. Inform Manage. 2009;46:159-66.
26. Maillet E, Mathieu L, Sicotte C. Modeling factors explaining the acceptance, actual use and satisfaction of nurses using an electronic patient record in acute care settings: an extension of the UTAUT. Int J Med Inform. 2015;84:36-47.
27. Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. MIS Quart. 2003;27(3):425-78.
28. Sabherwal R, Jeyaraj A, Chowa C. Information system success: individual and organizational determinants. Manage Sci. 2006;52(12):1849-64.
29. Myers JJ, Koester KA, Chakravarty D, Perason C, Maiorana A, Shade SB, et al. Perceptions regarding the ease of use and usefulness of health information exchange systems among medical providers, case managers and non-clinical staff members working in HIV care and community settings. Int J Med Inform. 2012;81:e21-9.
30. Bossen C, Jensen LG, Udsen FW. Evaluation of a comprehensive EHR based on the DeLone and McLean model for IS success: approach, results, and success factors. Int J Med Inform. 2013;82(10):940-53.
31. Saeed KA, Abdinnour S. Understanding post-adoption IS usage stages: an empirical assessment of self-service information systems. Inform Syst J. 2013;23:219-44.
32. Jain V, Kanungo S. Beyond perceptions and usage: impact of nature of information systems use on information system-enabled productivity. Int J of Hum-Comput Int. 2005;19(1):113-36.
33. Jaspers MWM, Peute LWP, Lauteslager A, Bakker PJM. Pre-post evaluation of physicians' satisfaction with a redesigned electronic medical record system. Stud Health Tech Inform. 2008;136:303.
34. Igbaria M, Guimaraes T, Davis GB. Testing the determinants of microcomputer usage via a structural equation model. J Manage Inform Syst. 1995;11(4):87-114.
35. Joos D, Chen Q, Jirjis J, Johnson KB. An electronic medical record in primary care: impact on satisfaction, work efficiency and clinic processes. In AMIA Annual Symposium Proceedings (Vol. 2006, p. 394-8). Bethesda, Maryland, United States: American Medical Informatics Association
36. Sicotte C, Paré G, Kra Bini K, Moreault MP, Laverdure G. Virtual organization of hospital medical imaging: a user satisfaction survey. J Digit Imaging. 2010;23(6):689-700.
37. Adler PS, Clark KB. Behind the learning curve: a sketch of the learning process. Manage Sci. 1991;37(3):267-81.
38. Rogers EM. Diffusion of Innovations. New York: Free Press; 1995. p. 519.
39. Snow J. Qualtrics survey software: handbook for research professionals. Provo, Utah: Qualtrics Labs, Inc. 2012. http://www.qualtrics.com/university/researchsuite/research-resources/other-resources/ebook-downloads/. Accessed Feb 3 2015.
40. Hikmet N, Chen SK. An investigation into low mail survey response rates of information technology users in health care organizations. Int J Med Inform. 2003;72:29-34.
41. Cook C, Heath F, Thompson RL. A meta-analysis of response rates in web- or internet-based surveys. Educ Psychol Meas. 2000;60(6):821-36.
42. Tabachnick BG, Fidell LS. Using multivariate statistics. Boston, MA: Pearson Education Inc.; 2007.
43. Paré G, Raymond L, Ortiz de Guinea A, Poba-Nzaou P, Trudel MC, Marsan J, et al. Barriers to organizational adoption of EMR systems in family physician practices: a mixed-methods study in Canada. Int J Med Inform. 2014;83(8):548-58.
44. Miller RH, Sim I, Newman J. Electronic medical records in solo/small groups: a qualitative study of physician user types. Stud Health Tech Inform. 2004;107(Pt 1):658-62.
45. O'Malley AS, Grossman JM, Cohen GR, Kemper NM, Pham HH. Are electronic medical records helpful for care coordination? Experiences of physician practices. J Gen Intern Med. 2010;25(3):177-85.
46. Rao S, DesRoches C, Doelan K, Campbell E, Miralles P, Jha A. Electronic health records in small physician practices: availability, use, and perceived benefits. J Am Med Inform Assoc. 2011;18:271-7.
47. Pfoh ER, Abramson E, Zandieh S, Edwards A, Kaushal R. Satisfaction after the transition between electronic health record systems at six ambulatory practices. J Eval Clin Pract. 2012;18:1133-9.
48. Ramaiah M, Subrahmanian E, Sriram RD, Lide BB. Workflow and electronic health records in small medical practices. Perspectives in health information management. Am Health Inform Manage Assoc. 2012;9:1d.
49. Barnsley J, Berta W, Cockerill R, MacPhail J, Vayda E. Identifying performance indicators for family practice. Can Fam Physician. 2005;51(5):700-8.
50. Wellner SJ, Barnet B, Cheng TL, Daaleman TP. Processes for effective communication in primary care. Ann Intern Med. 2005;142:709-14.
51. Graves P. Quantifying quality in primary care. Oxford, England: Radcliffe Medical Press; 2002.
52. Wager KA, Lee FW, White AW, Ward DM, Ornstein SM. Impact of an electronic medical record system on community-based primary care practices. J Am Board Fam Pract. 2000;13:338-48.
53. Kinn JW, O'Toole MF, Rowley SM, Marek JC, Bufalino VJ, Brown AS. Effectiveness of the electronic medical record in cholesterol management in patients with coronary artery disease (Virtual LipidClinic). Am J Cardiol. 2001;88:163-5.
54. Mitchell E, McConnahie A, Sullivan F. Consultation computer use to improve management of chronic disease in general practice: a before and after study. Inform Prim Care. 2003;11:61-8.
55. Singh R, Servoss T, Kalsman M. Estimating impacts on safety caused by the introduction of electronic medical records in primary care. Inform Prim Care. 2004;12:235-41.
56. Hsu J, Huang J, Fung V, Robertson N, Jimison H, Frankel R. Health information technology and physician-patient interactions: impact of computers on communication during outpatient primary care visits. J Am Med Inform Assoc. 2005;12(4):474-80.
57. Schade CP, Sullivan FM, van der Lusignan S, Madeley J. E-prescribing, efficiency, quality: lessons from the computerization of UK family practice.J Am Med Inform Assoc. 2006;13:470-5.
58. Cauldwell M, Beattie C, Cox B, Denby W, Ede-Golightly J, Linton F. The impact of electronic patient records on workflow in general practice. Health Inform J. 2007;13:155-60.
59. Crosson JC, Ohman-Strickland PA, Hahn KA, DiCicco-Bloom B, Shaw E, Orzano AJ. Electronic medical records and diabetes quality of care: results from a sample of family medicine practices. Annal Fam Med. 2007;5:209-15.
60. Jen WY, Chao CC. Measuring mobile patient safety information system success: an empirical study. Int J Med Inform. 2008;77(10):689-97.
61. Tamblyn R, Huang A, Taylor L, Kawasumi Y, Bartlett G, Grand R. A randomized trial of the effectiveness of on-demand versus computer-triggered drug decision support in primary care. J Am Med Inform Assoc. 2008;15:430-8.
62. Shachak A, Reis S. The impact of electronic medical records on patient-doctor communication during consultation: a narrative literature review. J Eval Clin Pract. 2009;15:641-9.
63. Zhou L, Soran CS, Jenter CA. The relationship between electronic health record use and quality of care over time. J Am Med Inform Assoc. 2009;16:457-64.
64. Beasly JW, Wetterneck TB, Temte J, Lapin JA, Smith P, Rivera-Rodriguez J, et al. Information chaos in primary care: implications for physician performance and patient safety. J Am Board Fam Pract. 2011;24(6):745-51.
65. Ryan A, Bishop T, Shih S, Casolino L. Small physician practices in New York needed sustained help to realize gains in quality from use of electronic health records. Health Affair. 2013;32(1):53-62.
66. MacKenzie SB, Podsakoff PM, Jarvis CB. The problem of measurement model misspecification in behavioral and organizational research and some recommended solutions. J Appl Psychol. 2005;90(4):710-30.
67. Roberts N, Thatcher JB. Conceptualizing and testing formative constructs: tutorial and annotated example. Data Base Adv Inform Syst. 2009;40(3):9-39.
68. Ringle CM, Wende S, Will S. SmartPLS 2.0. Hamburg: (M3) Beta; 2005.
69. Gefen D, Straub DW, Boudreau MC. Structural equation modeling and regression: guidelines for research practice. Commun Assoc Inform Syst. 2000;4(7):1-76.
70. Petter S, Straub DW, Rai A. Specifying formative constructs in information systems research. MIS Quart. 2007;31(4):623-56.
71. Diamantopoulos A, Siguaw JA. Formative versus reflective indicators in organizational measure development: a comparison and empirical illustration. Brit J Manage. 2006;17(4):263-82.
72. Anderson JC, Gerbing DW. Structural equation modeling in practice: a review and recommended two-step procedure. Psychol Bull. 1988;103:411-23.
73. Chin WW. The Partial Least Squares approach for structural equation modeling. In: Marcoulides GA, editor. Modern Methods for Business Research. Hillsdale, New Jersey: Lawrence Erlbaum Associates; 1998. p. 295-336.
74. Millard PS, Bru J, Berger CA. Open-source point-of-care electronic medical records for use in resource-limited settings: systematic review and questionnaire surveys. BMJ Open. 2012;2(4):e000690.
75. Cohen J. Statistical Power Analysis for the Behavioral Sciences. Hillsdale, New Jersey: Lawrence Erlbaum Associates; 1988.
76. Bergeron F, Raymond L, Rivard S, Gara MF. Determinants of EIS use: testing a behavioral model. Decis Support Syst. 1995;14(2):131-46.
77. Byrd TA, Thrasher EH, Lang T, Davidson NW. A process-oriented perspective of IS success: examining the impact of IS on operational cost. Omega. 2006;34(5):448-60.
78. Ortiz de Guinea A, Webster J. An investigation of information systems use patterns: technological events as triggers, the effects of time, and consequences for performance. MIS Quart. 2013;37(4):1165-88.
79. Otieno GO, Hinako T, Motohiro A, Daisuke K, Keiko N. Measuring effectiveness of electronic medical records systems: toward building a composite index for benchmarking hospitals. Int J Med Inform. 2008;77(10):657-69.
80. Strong DM, Volkoff O. Understanding organization-enterprise system fit: a path for theorizing the information technology artifact. MIS Quart. 2010;34(4):731-56.
81. Chiang KM, Liu CF, Ma CC. Motivating medical information system performance by system quality, service quality, and job satisfaction for evidence-based practice. BMC Med Inform Decis. 2012;12:135.
82. Kuo KM, Liu CF, Ma CC. An investigation of the effect of nurses' technology readiness on the acceptance of mobile electronic medical record systems. BMC Med Inform Decis. 2013;13:88.
83. Podsakoff PM, MacKenzie SB, Lee JY, Podsakoff NP. Common method biases in behavioral research: a critical review of the literature and recommended remedies. J Appl Psychol. 2003;88(5):879-903.
84. Garets D, Davis M. Electronic medical records vs. electronic health records: yes, there is a difference. HIMSS Analytics White Paper, 2006. http://www.healthit.gov/buzz-blog/electronic-health-and-medical-records/emr-vs-ehr-difference. Accessed Feb 3 2015.
85. Temme D, Hildebrandt L. Formative measurement models in covariance structure analysis: Specification and identification. SFB 649 Discussion paper 2006-083, Institute of Marketing, Humboldt-Universität zu Berlin, Germany, 2006. https://ideas.repec.org/p/hum/wpaper/sfb649dp2006-083.html. Accessed Feb 3 2015.
86. Diamantopoulos A, Winklhofer HM. Index construction with formative indicators: an alternative to scale development. J Marketing Res. 2001;38(2):269-77.
87. Bollen K, Lennox R. Conventional wisdom on measurement: a structural equation perspective. Psychol Bull. 1991;110:305-14.
88. Williams LJ, Cote JA, Buckley MR. Lack of method variance in self-reported affect and perceptions at work: reality or artifact? J Appl Psychol. 1989;74(3):462-8.