Toward a patient-centered ambulatory after-visit summary: Identifying primary care patients’ information needs

References

• Calkins DR, Davis RB, Reiley P, Phillips RS, Pineo KL, Delbanco TL, et al. Patient-physician communication at hospital discharge and patients’ understanding of the postdischarge treatment plan. Archives of Internal Medicine. 1997;157(9):1026–30.
   PubMedGoogle Scholar
• Makaryus AN, Friedman EA. Patients’ understanding of their treatment plans and diagnosis at discharge. Mayo Clinic Proceedings. 2005;80(8):991–4.
   PubMed Web of Science ®Google Scholar
• Martin LR, Williams SL, Haskard KB, Dimatteo MR. The challenge of patient adherence. Therapeutics and Clinical Risk Management2005;1(3):189–99..
   PubMedGoogle Scholar
• Ley P, Spelman MS. Communications in an out-patient setting. The British Journal of Social and Clinical Psychology. 1965;4(2):114–6.
   PubMedGoogle Scholar
• Rost K, Roter D, Bertakis K, Quill T. Physician-patient familiarity and patient recall of medication changes. The Collaborative Study Group of the SGIM Task Force on the Doctor and Patient. Family Medicine. 1990;22(6):453–7.
   Google Scholar
• Ley P. The use and improvement of written communication in mental health care and promotion. Psychology Health and Medicine. 1998;3(1):19–53.
   Google Scholar
• Electronic Health Records (EHR) Incentive Programs Baltimore, MD: CMS.gov; 2016 [ updated 11/22/2016; cited 2016 03/08/2016]. Available from: https://www.cms.gov/Regulations-and-Guidance/Legislation/EHRIncentivePrograms/index.html?redirect=/ehrincentiveprograms/.
   Google Scholar
• HealthIT.gov. EHR Incentives & Certification: HealthIT.gov; [updated Friday, April 4, 2014]. Available from: https://www.healthit.gov/providers-professionals/ehr-incentives-certification.
   Google Scholar
• CMS manual system: Pub. 100-04 Medicare claims processing. US Department of Health Human Services; 2004.
   Google Scholar
• What is an electronic health record (EHR)? HealthIT.gov: Office of the National Coordinator for Health Information Technology National Learning Condortium 2013 [updated Saturday, March 16, 2013; cited 2015 June 09]. Available from: http://www.healthit.gov/providers-professionals/faqs/what-electronic-health-record-ehr. National Learning Condortium; 2013 [updated Saturday, March 16, 2013; cited 2015 June 09]. Available from: http://www.healthit.gov/providers-professionals/faqs/what-electronic-health-record-ehr.
   Google Scholar
• Eligible Professional Meaningful Use Core Measures, Measure 8 of 17: Stage 2. Centers for Medicare Medicaid Services; 2014. p. 3.
   Google Scholar
• Ancker JS, Kern LM, Edwards A, Nosal S, Stein DM, Hauser D, et al. How is the electronic health record being used? Use of EHR data to assess physician-level variability in technology use. Journal of the American Medical Informatics Association. 2014;21(6):1001–8.
   PubMed Web of Science ®Google Scholar
• Ralston JD, Carrell D, Reid R, Anderson M, Moran M, Hereford J. Patient web services integrated with a shared medical record: Patient use and satisfaction. Journal of the American Medical Informatics Association. 2007;14(6):798–806.
   PubMed Web of Science ®Google Scholar
• Wright A, Feblowitz J, Samal L, McCoy AB, Sittig DF. The Medicare Electronic Health Record Incentive Program: provider performance on core and menu measures. Health Services Research. 2014; 49 (1 Pt 2): 325–46.
   PubMed Web of Science ®Google Scholar
• Lukoschek P, Fazzari M, Marantz P. Patient and physician factors predict patients’ comprehension of health information. Patient Education and Counseling. 2003;50(2):201–10.
   PubMed Web of Science ®Google Scholar
• Coulter A. Patient engagement: What works? Journal of Ambultory Care Management. 2012;35(2):80–9.
   PubMedGoogle Scholar
• The HIPAA Privacy Rule’s Right of Access and Health Information Technology. HHS.gov U.S. Department of Health & Human Services.
   Google Scholar
• Pavlik V, Brown AE, Nash S, Gossey JT. Association of patient recall, satisfaction, and adherence to content of an electronic health record (EHR)-generated after visit summary: A randomized clinical trial. Journal of the American Board of Family Medicine. 2014;27(2):209–18.
   PubMed Web of Science ®Google Scholar
• Dehen RI, Carter SU, Watanabe M. Impact of after visit summaries on patient return rates at an acupuncture and oriental medicine clinic. Medical Acupuncture. 2014;26(4):221–5.
   PubMedGoogle Scholar
• Neuberger M, Dontje K, Holzman G, Corser B, Keskimaki A, Chant E. Examination of office visit patient preferences for the after-visit summary (AVS). Perspect Health Inf Manag. 2014;11:1d.
   PubMedGoogle Scholar
• Noar SM, Benac CN, Harris MS. Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychological Bulletin. 2007;133(4):673–93.
   PubMed Web of Science ®Google Scholar
• Kreuter MW, Strecher VJ, Glassman B. One size does not fit all: The case for tailoring print materials. Annals of Behavioral Medicine. 1999;21(4):276–83.
   PubMed Web of Science ®Google Scholar
• Kreuter MW, Farrell DW, Olevitch LR, Brennan LK. Tailoring health messages: Customizing communication with computer technology: Routledge; 2013.
   Google Scholar
• Kreuter MW, Holt CL. How do people process health information? Applications in an age of individualized communication. Current Directions in Psychological Science. 2001;10(6):206–9.
   Web of Science ®Google Scholar
• Rimer BK, Glassman B. Is there a use for tailored print communications in cancer risk communication? Journal of National Cancer Institute Monograph. 1999(25):140–8.
   Google Scholar
• Skinner CS, Campbell MK, Rimer BK, Curry S, Prochaska JO. How effective is tailored print communication? Annals of Behavioral Medicine. 1999;21(4):290–8.
   PubMed Web of Science ®Google Scholar
• Medlock S, Eslami S, Askari M, Arts DL, Sent D, de Rooij SE, et al. Health information-seeking behavior of seniors who use the Internet: a survey. Journal of Medical Internet Research. 2015;17(1):e10.
   PubMed Web of Science ®Google Scholar
• Schinkel S, Schouten BC, van Weert JC. Are GP patients’ needs being met? Unfulfilled information needs among native-Dutch and Turkish-Dutch patients. Patient Education Counseling. 2013;90(2):261–7.
   PubMed Web of Science ®Google Scholar
• Sawicki GS, Sellers DE, McGuffie K, Robinson W. Adults with cystic fibrosis report important and unmet needs for disease information. Journal of Cystic Fibrosis. 2007;6(6):411–6.
   PubMed Web of Science ®Google Scholar
• Clarke MA, Moore JL, Steege LM, Koopman RJ, Belden JL, Canfield SM, et al. Health information needs, sources, and barriers of primary care patients to achieve patient-centered care: A literature review. Health informatics journal. 2015:1460458215602939.
   Web of Science ®Google Scholar
• U.S. Census Bureau, Statistical Abstract of the United States: 2012. U.S. Census Bureau; 2012.
   Google Scholar
• Forsythe DE, Buchanan BG, Osheroff JA, Miller RA. Expanding the concept of medical information: An observational study of physicians’ information needs. Computers and Biomedical Research. 1992;25(2):181–200.
   PubMedGoogle Scholar
• Clarke MA, Moore JL, Steege LM, Koopman RJ, Belden JL, Canfield SM, et al. Health information needs, sources, and barriers of primary care patients to achieve patient-centered care: A literature review. Health Informatics Jounal. 2015.
   Google Scholar
• Glossary 2008 [ cited 2012 April 15]. Available from: http://highered.mcgraw-hill.com/sites/0073521914/student_view0/glossary.html.
   Google Scholar
• National Ambulatory Medical Care Survey: 2010 Summary Tables. National Ambulatory Medical Care Survey: 2010 [Internet]. 2010. Available from: http://www.cdc.gov/nchs/data/ahcd/namcs_summary/2010_namcs_web_tables.pdf.
   Google Scholar
• Definition of Lab test [updated 3/19/2012; cited 2012 April 15]. Available from: http://www.medterms.com/script/main/art.asp?articlekey=21109.
   Google Scholar
• Schensul SL, Schensul JJ, LeCompte MD. Essential ethnographic methods: Observations, interviews, and questionnaires: Altamira Pr; 1999.
   Google Scholar
• Koopman R, Petroski G, Canfield S, Stuppy J, Mehr D. Development of the PRE-HIT instrument: Patient readiness to engage in health information technology. BMC Family Practice. 2014;15(1):18.
   PubMedGoogle Scholar
• Baker DW, Williams MV, Parker RM, Gazmararian JA, Nurss J. Development of a brief test to measure functional health literacy. Patient Education Counseling. 1999;38(1):33–42.
   PubMed Web of Science ®Google Scholar
• Attfield SJ, Adams A, Blandford A. Patient information needs: Pre- and post-consultation. Health Informatics Journal. 2006;12(2):165–77.
   PubMedGoogle Scholar
• Goldsmith MR, Bankhead CR, Kehoe ST, Marsh G, Austoker J. Information and cervical screening: A qualitative study of women’s awareness, understanding and information needs about HPV. Journalm of Medical Screening. 2007;14(1):29–33.
   PubMed Web of Science ®Google Scholar
• McCaffery K, Irwig L. Australian women’s needs and preferences for information about human papillomavirus in cervical screening. Journalm of Medical Screening. 2005;12(3):134–41.
   PubMed Web of Science ®Google Scholar
• Sakai Y, Kunimoto C, Kurata K. Health information seekers in Japan: A snapshot of needs, behavior, and recognition in 2008. Journal of Medical Library Association. 2012;100(3):205–13.
   PubMed Web of Science ®Google Scholar
• Taha J, Sharit J, Czaja S. Use of and satisfaction with sources of health information among older Internet users and nonusers. Gerontologist. 2009;49(5):663–73.
   PubMed Web of Science ®Google Scholar
• Caiata-Zufferey M, Abraham A, Sommerhalder K, Schulz PJ. Online health information seeking in the context of the medical consultation in Switzerland. Qualitative Health Research. 2010;20(8):1050–61.
   PubMed Web of Science ®Google Scholar
• Kalantzi S, Kostagiolas P, Kechagias G, Niakas D, Makrilakis K. Information seeking behavior of patients with diabetes mellitus: A cross-sectional study in an outpatient clinic of a university-affiliated hospital in Athens, Greece. BMC Research Notes. 2015;8:48.
   PubMedGoogle Scholar
• Jackson JL, Kroenke K. The effect of unmet expectations among adults presenting with physical symptoms. Annals of Internal Medicine. 2001; 134 (9 Pt 2): 889–97.
   PubMed Web of Science ®Google Scholar
• Tang PC, Newcomb C. Informing patients: A guide for providing patient health information. Journal of the American Medical Informatics Association. 1998;5(6):563–70.
   PubMed Web of Science ®Google Scholar
• Ross SE, Lin CT. The effects of promoting patient access to medical records: A review. Journal of the American Medical Informatics Association. 2003;10(2):129–38.
   PubMed Web of Science ®Google Scholar
• Stevens DP, Stagg R, Mackay IR. What happens when hospitalized patients see their own records. Annals Internal Medicine. 1977;86(4):474–7.
   PubMed Web of Science ®Google Scholar
• Collins SA, Currie LM, Bakken S, Cimino JJ. Information needs, Infobutton Manager use, and satisfaction by clinician type: A case study. Journal of the American Medical Informatics Association. 2009;16(1):140–2.
   PubMed Web of Science ®Google Scholar
• Currie LM, Graham M, Allen M, Bakken S, Patel V, Cimino JJ. Clinical information needs in context: An observational study of clinicians while using a clinical information system. AMIA Annuals Symposium Proceedings. 2003:190–4.
   Google Scholar
• Delbanco T, Walker J, Darer JD, et al. Open notes: Doctors and patients signing on. Annals of internal medicine. 2010;153(2):121–5.
   PubMed Web of Science ®Google Scholar