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- Patient and family engagement: a framework for understanding the elements and developing interventions and policies.Health Aff (Millwood). 2013; 32: 223-231https://doi.org/10.1377/hlthaff.2012.1133
- Improving Outcomes With Clinical Decision Support: An Implementer's Guide.2nd ed. Healthcare Information and Management Systems Society, New York, NY2012https://doi.org/10.4324/9781498757461
U.S. Food and Drug Administration. Clinical and patient decision support software: draft guidance for industry and Food and Drug Administration staff. Silver Spring, MD: U.S. Food and Drug Administration. https://www.finnegan.com/images/content/1/5/v2/156584/Clinical-and-Patient-Decision-Support-Software-Guidance.pdf. Published December 8, 2017. Accessed August 14, 2020.
- Engaging Patients in Healthcare.McGraw Hill Education, New York, NY2011
Institute of Medicine, Olsen LA, Saunders RS, et al. Engaging patients to improve science and value in a learning health system. In: Patients Charting the Course: Citizen Engagement in the Learning Health System: Workshop Summary. Washington, DC: National Academies Press; 2011:95–118. https://www.ncbi.nlm.nih.gov/books/NBK92074/. Accessed August 14, 2020.
- Development and testing of a short form of the patient activation measure.Health Serv Res. 2005; 40: 1918-1930https://doi.org/10.1111/j.1475-6773.2005.00438.x
- Why does patient activation matter? An examination of the relationships between patient activation and health-related outcomes.J Gen Intern Med. 2012; 27: 520-526https://doi.org/10.1007/s11606-011-1931-2
- Decision aids for people facing health treatment or screening decisions.Cochrane Database Syst Rev. 2017; 4CD001431https://doi.org/10.1002/14651858.CD001431.pub5
- Communicating laboratory results to patients and families.Clin Chem Lab Med. 2019; 57: 359-364https://doi.org/10.1515/cclm-2018-0634
- Helping people know whether measurements have good or bad implications: increasing the evaluability of health and science data communications.Policy Insights Behav Brain Sci. 2019; 6: 29-37https://doi.org/10.1177/2372732218813377
- Graphics help patients distinguish between urgent and non-urgent deviations in laboratory test results.J Am Med Inform Assoc. 2017; 24: 520-528https://doi.org/10.1093/jamia/ocw169
- The RE-AIM framework: a systematic review of use over time.Am J Public Health. 2013; 103: e38-e46https://doi.org/10.2105/AJPH.2013.301299
- Metrics and evaluation tools for patient engagement in healthcare organization - and system-level decision-making: a systematic review.Int J Health Policy Manag. 2018; 7: 889-903https://doi.org/10.15171/ijhpm.2018.43
- When conversation is better than computation.J Am Med Inform Assoc. 2000; 7: 277-286https://doi.org/10.1136/jamia.2000.0070277
- The Common-Sense Model of Self-Regulation (CSM): a dynamic framework for understanding illness self-management.J Behav Med. 2016; 39: 935-946https://doi.org/10.1007/s10865-016-9782-2
- Graph literacy: a cross-cultural comparison.Med Decis Making. 2011; 31: 444-457https://doi.org/10.1177/0272989X10373805
- Visual analogies, not graphs, increase patients’ comprehension of changes in their health status.J Am Med Inform Assoc. 2020; 27: 677-689https://doi.org/10.1093/jamia/ocz217
- Overriding of drug safety alerts in computerized physician order entry.J Am Med Inform Assoc. 2006; 13: 138-147https://doi.org/10.1197/jamia.M1809
- Going mobile with diabetes support: a randomized study of a text message-based personalized behavioral intervention for type 2 diabetes self-care.Diabetes Spectr. 2015; 28: 83-91https://doi.org/10.2337/diaspect.28.2.83
- Expanding access to high-quality plain-language patient education information through context-specific hyperlinks.AMIA Annu Symp Proc. 2017; 2016: 277-284https://pubmed.ncbi.nlm.nih.gov/28269821/Date accessed: August 14, 2020
- Good intentions are not enough: how informatics interventions can worsen inequality.J Am Med Inform Assoc. 2018; 25: 1080-1088https://doi.org/10.1093/jamia/ocy052
- Access policy and the digital divide in patient access to medical records.Health Policy Technol. 2017; 6: 3-11https://doi.org/10.1016/j.hlpt.2016.11.004