Peering Inside the Black Box of Patient-Centered Care
Author(s) -
Aanand D. Naik
Publication year - 2014
Publication title -
circulation cardiovascular quality and outcomes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.692
H-Index - 87
eISSN - 1941-7705
pISSN - 1941-7713
DOI - 10.1161/circoutcomes.114.001038
Subject(s) - peering , black box , medicine , computer science , world wide web , the internet , artificial intelligence
Patient centeredness is a distinct dimension of healthcare quality. Patient-centered care is respectful of and responsive to individual patient preferences, needs, and values in ways that guide treatment decisions.1 Translating patient centeredness into routine care is challenging. Citing evidence that patients often do not want a role in treatment decision making, many initially questioned the utility of engaging patients or eliciting their preferences.2,3 It is not surprising that many subjects enrolled in older studies of medical decision making would endorse passive decision making styles, given the paucity of tools to facilitate meaningful patient or caregiver engagement. When such tools were available, they were often overly complex and technical with little appreciation for health literacy, numeracy, or cognitive biases. The purpose of these tools was to facilitate decision making for clinicians rather than explore or uncover patient preferences, values, and goals. In essence, these earlier studies attempted to measure patient participation, experiences, and preferences within the context of clinician-centric medical encounters.Articles see p 353, 360, 368The results described by Dunlay et al4 in this issue of Circulation Cardiovascular Quality and Outcomes are illustrative of these early attempts in understanding patient centeredness within the context of a clinician-centered healthcare environment. Their study sought to better understand the end-of-life preferences of patients with heart failure and how those preferences changed during the disease course and, in particular, during hospitalizations for acute exacerbation.5 The focus on do-not-resuscitate (DNR) orders as a surrogate is indicative of our limited capacity to clearly understand, elicit, and document end-of-life preferences. DNR orders are rudimentary measures of patient values and preferences for end-of-life care; orders are often placed with little or no previous discussions and are largely for the purpose of clinician decision making.5,6 Dunlay et …
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