Assessing attitudes toward electronic prescribing adoption in primary care: a survey of prescribers and staff.

BACKGROUND Using survey instruments to assess physicians' attitudes toward electronic health record (EHR) adoption has been an ongoing area of research. No instrument has emerged for widespread use. OBJECTIVE We used a theoretically-based, 37-question survey instrument to assess attitudes toward electronic (e-) prescribing adoption in the context of an existing EHR. Our objective was to elicit information to inform strategies to maximise adoption. METHODS The instrument assesses attitudes in four domains: finesse, intent to use technology, perceived usefulness and perceived ease of use. Two additional questions ask about computer use at home and self-assessed computer knowledge. We administered the instrument to prescribers and staff at three primary care sites between 2005 and 2007. Each site represented a unique transition from paper-based or partial (Phase 1) to full (Phase 2) e-prescribing use. RESULTS Fifty-nine prescribers (82% response) and 58 staff (50% response) completed the survey. At the paper-based site, domain scores increased significantly from Phase 1 to Phase 2 for intent to use technology for both prescribers (4.8 to 5; P<0.04) and staff (4 to 5; P<0.03); and for perceived usefulness for staff (3.7 to 4.6; P<0.02). For prescribers, significant associations (P<0.05) were found between computer use at home for professional use and each domain score; and between computer knowledge and three of the four domains. Self-assessed computer knowledge was consistently rated as intermediate, vs novice or expert. CONCLUSIONS Domain scores improved. Prescribers' self-assessment of computer use at home and computer knowledge predicted attitudes toward adoption. This instrument may be useful in tailoring strategies for successful adoption.

[1]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[2]  David W. Bates,et al.  Position Paper: Factors and Forces Affecting EHR System Adoption: Report of a 2004 ACMI Discussion , 2004, J. Am. Medical Informatics Assoc..

[3]  D. R. Dixon,et al.  Adoption of information technology enabled innovations by primary care physicians: model and questionnaire development. , 1994, Proceedings. Symposium on Computer Applications in Medical Care.

[4]  E. Shortliffe,et al.  An analysis of physician attitudes regarding computer-based clinical consultation systems. , 1981, Computers and biomedical research, an international journal.

[5]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[6]  Nir Menachemi,et al.  Barriers to ambulatory EHR: who are 'imminent adopters' and how do they differ from other physicians? , 2006, Informatics in primary care.

[7]  M. Ward,et al.  Development of a Measure of Clinical Information Systems Expectations and Experiences , 2007, Medical care.

[8]  Sowmya R. Rao,et al.  Electronic health records in ambulatory care--a national survey of physicians. , 2008, The New England journal of medicine.

[9]  Jesse C. Crosson,et al.  Variation in Electronic Prescribing Implementation Among Twelve Ambulatory Practices , 2008, Journal of General Internal Medicine.

[10]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

[11]  Cynthia S. Gadd,et al.  Assessing physician attitudes regarding use of an outpatient EMR: a longitudinal, multi-practice study , 2001, AMIA.

[12]  Steven R. Simon,et al.  Correlates of Electronic Health Record Adoption in Office Practices: A Statewide Survey , 2006, AMIA.

[13]  Sonja Wiley-Patton,et al.  Test of the technology acceptance model for the internet in pediatrics , 2002, AMIA.

[14]  Melissa M. Honour,et al.  Overcoming barriers to adopting and implementing computerized physician order entry systems in U.S. hospitals. , 2004, Health affairs.

[15]  D. R. Dixon,et al.  Exploring information technology adoption by family physicians: survey instrument valuation , 2000, AMIA.

[16]  Lisa P. Newmark,et al.  Trends in Primary Care Clinician Perceptions of a New Electronic Health Record , 2009, Journal of General Internal Medicine.

[17]  Mary R. Talen,et al.  Do electronic medical record (EMR) demonstrations change attitudes, knowledge, skills or needs? , 2008, Informatics in primary care.

[18]  Rainu Kaushal,et al.  Imminent adopters of electronic health records in ambulatory care. , 2009, Informatics in primary care.

[19]  Blackford Middleton,et al.  Viewpoint Paper: Accelerating U.S. EHR Adoption: How to Get There From Here. Recommendations Based on the 2004 ACMI Retreat , 2005, J. Am. Medical Informatics Assoc..

[20]  D. Gans,et al.  Medical groups' adoption of electronic health records and information systems. , 2005, Health affairs.

[21]  E. B. Steen,et al.  The Computer-Based Patient Record: An Essential Technology for Health Care , 1992, Annals of Internal Medicine.

[22]  R. Devellis Classical Test Theory , 2006, Medical care.

[23]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[24]  John D. Voss,et al.  Determinants of physician use of an ambulatory prescription expert system , 2005, Int. J. Medical Informatics.

[25]  C. K. Barsukiewicz,et al.  Electronic medical records: are physicians ready? , 1999, Journal of healthcare management / American College of Healthcare Executives.

[26]  T. Norris The Computer-Based Patient Record: An Essential Technology for Health Care. Revised Edition , 1998, The Journal of the American Board of Family Medicine.

[27]  Glen R Stream,et al.  Trends in adoption of electronic health records by family physicians in Washington State. , 2009, Informatics in primary care.

[28]  William Hollingworth,et al.  Electronic prescribing at the point of care: a time-motion study in the primary care setting. , 2010, Health services research.

[29]  William Hollingworth,et al.  Implementing an Ambulatory e-Prescribing System: Strategies Employed and Lessons Learned to Minimize Unintended Consequences , 2008 .

[30]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[31]  D. R. Dixon,et al.  The behavioral side of information technology , 1999, Int. J. Medical Informatics.

[32]  Charles P. Friedman,et al.  Development and initial validation of an instrument to measure physicians' use of, knowledge about, and attitudes toward computers. , 1998, Journal of the American Medical Informatics Association : JAMIA.

[33]  Cynthia S. Gadd,et al.  Attitudes of academic-based and community-based physicians regarding EMR use during outpatient encounters , 2001, AMIA.