Amy E Binns-Calvey1,2, Gunjan Sharma1,2, Naomi Ashley2,3, Brendan Kelly1,2, Frances M Weaver1,4, Saul J Weiner1,2. 1. Center of Innovation for Complex Chronic Healthcare, Edward Hines, Jr. VA Hospital, Hines, IL. 2. University of Illinois at Chicago, Chicago, IL. 3. Jesse Brown VA Medical Center, Chicago, IL. 4. Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL.
Abstract
PURPOSE: Patients send clues, often unwittingly, when they are grappling with a life challenge that complicates their care. For instance, a patient may lose control of a previously well-managed chronic condition or start missing appointments. When explored, these clues help clinicians uncover the life circumstance impacting the individual's ability to manage their health and health care. Such clues are termed "contextual red flags." Effective care requires recognizing them, asking about them, and customizing the care plan where feasible. We sought to develop a typology of contextual red flags by analyzing audio recordings along with the medical records of encounters between patients and providers in outpatient clinics. METHODS: During the course of 3 studies on physician attention to patient context conducted over a 5-year span (2012-2016), 4 full-time coders listened to the audios and reviewed the medical records of 2963 clinician-patient encounters. A list of contextual red flags was accrued and categorized until saturation was achieved. RESULTS: A total of 70 contextual red flags were sorted into 9 categories, comprising a typology of contextual red flags: uncontrolled chronic conditions; appointment adherence; resource utilization; medication adherence; adherence to plan of care; significant weight loss/gain; patient knowledge of health or health care status; medical equipment/supplies adherence; other. CONCLUSIONS: A relatively small number of clues that patients are struggling to self-manage their care warrant clinicians' exploring opportunities to adapt care plans to individual life circumstances. These contextual red flags group into an even smaller set of logical categories, providing a framework to guide clinicians about when to elicit additional information from patients about life challenges they are facing.
PURPOSE: Patients send clues, often unwittingly, when they are grappling with a life challenge that complicates their care. For instance, a patient may lose control of a previously well-managed chronic condition or start missing appointments. When explored, these clues help clinicians uncover the life circumstance impacting the individual's ability to manage their health and health care. Such clues are termed "contextual red flags." Effective care requires recognizing them, asking about them, and customizing the care plan where feasible. We sought to develop a typology of contextual red flags by analyzing audio recordings along with the medical records of encounters between patients and providers in outpatient clinics. METHODS: During the course of 3 studies on physician attention to patient context conducted over a 5-year span (2012-2016), 4 full-time coders listened to the audios and reviewed the medical records of 2963 clinician-patient encounters. A list of contextual red flags was accrued and categorized until saturation was achieved. RESULTS: A total of 70 contextual red flags were sorted into 9 categories, comprising a typology of contextual red flags: uncontrolled chronic conditions; appointment adherence; resource utilization; medication adherence; adherence to plan of care; significant weight loss/gain; patient knowledge of health or health care status; medical equipment/supplies adherence; other. CONCLUSIONS: A relatively small number of clues that patients are struggling to self-manage their care warrant clinicians' exploring opportunities to adapt care plans to individual life circumstances. These contextual red flags group into an even smaller set of logical categories, providing a framework to guide clinicians about when to elicit additional information from patients about life challenges they are facing.
Authors: Saul J Weiner; Alan Schwartz; Frances Weaver; Julie Goldberg; Rachel Yudkowsky; Gunjan Sharma; Amy Binns-Calvey; Ben Preyss; Marilyn M Schapira; Stephen D Persell; Elizabeth Jacobs; Richard I Abrams Journal: Ann Intern Med Date: 2010-07-20 Impact factor: 25.391
Authors: Thomas D Denberg; Trisha V Melhado; John M Coombes; Brenda L Beaty; Kenneth Berman; Tim E Byers; Alfred C Marcus; John F Steiner; Dennis J Ahnen Journal: J Gen Intern Med Date: 2005-11 Impact factor: 5.128
Authors: Saul J Weiner; Alan Schwartz; Gunjan Sharma; Amy Binns-Calvey; Naomi Ashley; Brendan Kelly; Frances M Weaver Journal: Jt Comm J Qual Patient Saf Date: 2015-06
Authors: Amanda D Hyre; Marie A Krousel-Wood; Paul Muntner; Lumie Kawasaki; Karen B DeSalvo Journal: J Clin Hypertens (Greenwich) Date: 2007-03 Impact factor: 3.738