Physicians' beliefs about using EMR and CPOE: In pursuit of a contextualized understanding of health IT use behavior

PURPOSE To identify and describe physicians' beliefs about use of electronic medical records (EMR) and computerized provider order entry (CPOE) for inpatient and outpatient care, to build an understanding of what factors shape information technology (IT) use behavior in the unique context of health care delivery. METHODS Semi-structured qualitative research interviews were carried out, following the beliefs elicitation approach. Twenty physicians from two large Midwest US hospitals participated. Physicians were asked questions to elicit beliefs and experiences pertaining to their use of EMR and CPOE. Questions were based on a broad set of behavior-shaping beliefs and the methods commonly used to elicit those beliefs. RESULTS Qualitative analysis revealed numerous themes related to the perceived emotional and instrumental outcomes of EMR and CPOE use; perceived external and personal normative pressure to use those systems; perceived volitional control over use behavior; perceived facilitators and barriers to system use; and perceptions about the systems and how they were implemented. EMR and CPOE were commonly believed to both improve and worsen the ease and quality of personal performance, productivity and efficiency, and patient outcomes. Physicians felt encouraged by employers and others to use the systems but also had personal role-related and moral concerns about doing so. Perceived facilitators and barriers were numerous and had their sources in all aspects of the work system. CONCLUSION Given the breadth and detail of elicited beliefs, numerous design and policy implications can be identified. Additionally, the findings are a first step toward developing a theory of health IT acceptance and use contextualized to the unique setting of health care.

[1]  A. Strauss,et al.  Basics of qualitative research: Grounded theory procedures and techniques. , 1992 .

[2]  Marc Berg,et al.  Viewpoint Paper: Some Unintended Consequences of Information Technology in Health Care: The Nature of Patient Care Information System-related Errors , 2003, J. Am. Medical Informatics Assoc..

[3]  S. Davidson,et al.  Physician and nurse satisfaction with an Electronic Medical Record system. , 2004, The Journal of emergency medicine.

[4]  Arild Faxvaag,et al.  Research Paper: Effects of Scanning and Eliminating Paper-based Medical Records on Hospital Physicians' Clinical Work Practice , 2003, J. Am. Medical Informatics Assoc..

[5]  Stephen B. Johnson,et al.  Grounding a new information technology implementation framework in behavioral science: a systematic analysis of the literature on IT use , 2003, J. Biomed. Informatics.

[6]  Patrick Y. K. Chau,et al.  Physician acceptance of telemedicine technology: an empirical investigation. , 1999, Topics in health information management.

[7]  Patricia C. Dykes,et al.  Research Paper: Development and Psychometric Evaluation of the Impact of Health Information Technology (I-HIT) Scale , 2007, J. Am. Medical Informatics Assoc..

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

[9]  Stephen Sutton,et al.  Eliciting salient beliefs in research on the theory of planned behaviour: The effect of question wording , 2003 .

[10]  J. Grimshaw,et al.  Constructing questionnaires based on the theory of planned behaviour: A manual for health services researchers , 2004 .

[11]  Herbert S. Lin,et al.  Computational Technology for Effective Health Care: Immediate Steps and Strategic Directions , 2009 .

[12]  Richard J. Holden,et al.  The Technology Acceptance Model: Its past and its future in health care , 2010, J. Biomed. Informatics.

[13]  C. Pope,et al.  Qualitative Research in Health Care , 1999 .

[14]  D Gammon,et al.  An Overview and Analysis of Theories Employed in Telemedicine Studies , 2008, Methods of Information in Medicine.

[15]  Joan S. Ash,et al.  Research Paper: Types of Unintended Consequences Related to Computerized Provider Order Entry , 2006, J. Am. Medical Informatics Assoc..

[16]  P. Carayon,et al.  Work system design for patient safety: the SEIPS model , 2006, Quality and Safety in Health Care.

[17]  M. D. David Blumenthal The Federal Role in Promoting Health Information Technology , 2009 .

[18]  Amy K. Yarbrough,et al.  Technology Acceptance among Physicians , 2007, Medical care research and review : MCRR.

[19]  William W. Stead,et al.  Computational Technology for Effective Health Care , 2009 .

[20]  Steven R. Simon,et al.  Implementation and Use of an Electronic Health Record within the Indian Health Service , 2007, J. Am. Medical Informatics Assoc..

[21]  Darren Langdridge,et al.  Analyzing Additional Variables in the Theory of Reasoned Action , 2007 .

[22]  Nancy G. Leveson,et al.  Viewpoint Paper: EHR Safety: The Way Forward to Safe and Effective Systems , 2008, J. Am. Medical Informatics Assoc..

[23]  Richard J. Holden,et al.  A Review of Medical Error Reporting System Design Considerations and a Proposed Cross-Level Systems Research Framework , 2007, Hum. Factors.

[24]  Peter Caputi,et al.  Issues in predicting and explaining usage behaviors with the technology acceptance model and the theory of planned behavior when usage is mandatory , 2000, ICIS.

[25]  Nancy M. Lorenzi,et al.  Review Paper: Managing Change: An Overview , 2000, J. Am. Medical Informatics Assoc..

[26]  I. Ajzen The theory of planned behavior , 1991 .

[27]  Joan S. Ash,et al.  An Unintended Consequence of CPOE Implementation: Shifts in Power, Control, and Autonomy , 2006, AMIA.

[28]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[29]  Henning Müller,et al.  User acceptance of Clinical Information Systems: A methodological approach to identify the key dimensions allowing a reliable evaluation framework , 2004, MedInfo.

[30]  S. Rivard,et al.  Getting physicians to accept new information technology: insights from case studies , 2006, Canadian Medical Association Journal.

[31]  Henning Müller,et al.  Evaluating user interactions with clinical information systems: A model based on human-computer interaction models , 2005, J. Biomed. Informatics.

[32]  Sowmya R. Rao,et al.  Use of electronic health records in U.S. hospitals. , 2009, The New England journal of medicine.

[33]  A. Localio,et al.  Role of computerized physician order entry systems in facilitating medication errors. , 2005 .

[34]  Joan S. Ash,et al.  A diffusion of innovations model of physician order entry , 2001, AMIA.

[35]  Lucy Dillon,et al.  Quality in qualitative evaluation: A framework for assessing research evidence. A quality framework. , 2003 .

[36]  Marc Berg,et al.  Research Paper: Turning Off Frequently Overridden Drug Alerts: Limited Opportunities for Doing It Safely , 2008, J. Am. Medical Informatics Assoc..

[37]  Rainu Kaushal,et al.  Physicians and electronic health records: a statewide survey. , 2007, Archives of internal medicine.

[38]  Richard J. Holden,et al.  A theoretical model of health information technology usage behaviour with implications for patient safety , 2009, Behav. Inf. Technol..

[39]  J. Kirk,et al.  Reliability and Validity in Qualitative Research , 1985 .

[40]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[41]  I. Ajzen Constructing a TpB Questionnaire: Conceptual and Methodological Considerations , 2002 .

[42]  E. Rogers Diffusion of Innovations , 1962 .

[43]  T. Marteau,et al.  The Place of Inter-Rater Reliability in Qualitative Research: An Empirical Study , 1997 .

[44]  I. Ajzen Attitudes, Personality and Behavior , 1988 .

[45]  Bonnie Kaplan,et al.  Evaluating informatics applications - some alternative approaches: theory, social interactionism, and call for methodological pluralism , 2001, Int. J. Medical Informatics.

[46]  M. Patton,et al.  Qualitative evaluation and research methods , 1992 .

[47]  D. Blumenthal,et al.  Information technology comes to medicine. , 2007, The New England journal of medicine.

[48]  B. Karsh,et al.  A human factors engineering paradigm for patient safety: designing to support the performance of the healthcare professional , 2006, Quality and Safety in Health Care.

[49]  Jonathon R. B. Halbesleben,et al.  Research Paper: Technology Implementation and Workarounds in the Nursing Home , 2008, J. Am. Medical Informatics Assoc..

[50]  A. Manstead,et al.  Evaluating and extending the theory of planned behaviour , 1995 .

[51]  A. Strauss Basics Of Qualitative Research , 1992 .

[52]  E Coiera,et al.  Section 1: Health and Clinical Mangement: The Safety and Quality of Decision Support Systems , 2006, Yearbook of Medical Informatics.

[53]  Roger B. Davis,et al.  Physicians' decisions to override computerized drug alerts in primary care. , 2003, Archives of internal medicine.

[54]  Tosha B. Wetterneck,et al.  Technology Evaluation: Workarounds to Barcode Medication Administration Systems: Their Occurrences, Causes, and Threats to Patient Safety , 2008, J. Am. Medical Informatics Assoc..

[55]  Kai Zheng,et al.  Understanding technology adoption in clinical care: Clinician adoption behavior of a point-of-care reminder system , 2005, Int. J. Medical Informatics.

[56]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[57]  Daniel B. Hier,et al.  Differing faculty and housestaff acceptance of an electronic health record , 2005, Int. J. Medical Informatics.

[58]  Guy Paré,et al.  Research Paper: The Effects of Creating Psychological Ownership on Physicians' Acceptance of Clinical Information Systems , 2006, J. Am. Medical Informatics Assoc..