Association of Patient Recall, Satisfaction, and Adherence to Content of an Electronic Health Record (EHR)–Generated After Visit Summary: A Randomized Clinical Trial

Objective: Most electronic health record (EHR) systems have the capability of generating a printed after-visit summary (AVS), but there has been little research on optimal content. We conducted a qualitative study and a randomized trial to understand the effect of AVS content on patient recall and satisfaction. Methods: Adult primary care patients (n = 272) with at least 1 chronic condition were randomly assigned to 4 AVS content conditions: minimum, intermediate, maximum, or standard AVS. Demographics and health literacy were measured at an index clinic visit. Recall and satisfaction were measured by telephone 2 days and 2 to 3 weeks after the clinic visit. Results: Average age was 52 years; 75% of patients were female, 61% were Hispanic, and 21% were African American, and 64% had adequate health literacy. Average medication recall accuracy was 53% at 2 days and 52% at 3 weeks, with no significant difference among groups at either time. Satisfaction with AVS content was high and did not differ among groups. Recall of specific content categories was low and unrelated to group assignment. Health literacy was unrelated to recall and satisfaction. Conclusion: Primary care patients like to receive an AVS, but the amount of information included does not affect content recall or satisfaction with the information.

[1]  Paul C. Tang,et al.  Informing patients: a guide for providing patient health information. , 1998, Journal of the American Medical Informatics Association : JAMIA.

[2]  V. Strecher,et al.  One size does not fit all: The case for tailoring print materials , 1999, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[3]  D. Baker,et al.  Development of a brief test to measure functional health literacy. , 1999, Patient education and counseling.

[4]  D. Schillinger,et al.  Closing the loop: physician communication with diabetic patients who have low health literacy. , 2003, Archives of internal medicine.

[5]  M. Wolf,et al.  HIV Prevention in Practice: An Assessment of the Public Health Response of Physicians and Nurses in the Midwest , 2004, Journal of Community Health.

[6]  Lynn Ordway,et al.  Antecedents of adherence to medical recommendations: Results from the medical outcomes study , 1992, Journal of Behavioral Medicine.

[7]  Marcello Tonelli,et al.  The tension between E-health innovation and E-valuation. , 2005, Archives of internal medicine.

[8]  Judith H Hibbard,et al.  Do increases in patient activation result in improved self-management behaviors? , 2007, Health services research.

[9]  David Carrell,et al.  Research Paper: Patient Web Services Integrated with a Shared Medical Record: Patient Use and Satisfaction , 2007, J. Am. Medical Informatics Assoc..

[10]  T. Bodenheimer,et al.  The Teamlet Model of Primary Care , 2007, The Annals of Family Medicine.

[11]  Stephen D. Persell,et al.  Limited Health Literacy is a Barrier to Medication Reconciliation in Ambulatory Care , 2007, Journal of General Internal Medicine.

[12]  Charalambos Vrasidas,et al.  Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications , 2008 .

[13]  Maria L. Jibaja-Weiss,et al.  Sugar, Heart, and Life: A Bilingual Diabetes Interactive Telenovela , 2009 .

[14]  B. McKinstry,et al.  A systematic review of interventions to improve recall of medical advice in healthcare consultations , 2009, Journal of the Royal Society of Medicine.

[15]  Hhs Centers for Medicare Medicare Services Medicare and Medicaid programs; electronic health record incentive program. Final rule. , 2010, Federal register.

[16]  Stephen D. Persell,et al.  Medication reconciliation and hypertension control. , 2010, The American journal of medicine.

[17]  J. Hibbard,et al.  Why Does Patient Activation Matter? An Examination of the Relationships Between Patient Activation and Health-Related Outcomes , 2012, Journal of General Internal Medicine.

[18]  Morgan Price,et al.  Impact of electronic medical record on physician practice in office settings: a systematic review , 2012, BMC Medical Informatics and Decision Making.

[19]  M. Wolf,et al.  What Did the Doctor Say? Health Literacy and Recall of Medical Instructions , 2012, Medical care.

[20]  P. Lavori,et al.  Translating the Diabetes Prevention Program Lifestyle Intervention for Weight Loss into Primary Care a Randomized Trial , 2022 .

[21]  Christy J W Ledford,et al.  Extending Physician ReACH: influencing patient activation and behavior through multichannel physician communication. , 2013, Patient education and counseling.

[22]  AND GROUP , 2022 .