2021
DOI: 10.5964/ps.7193
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Personality predictors of emergency department post-discharge outcomes

Abstract: Personality traits are important predictors of health behaviors, healthcare utilization, and health outcomes. However, we know little about the role of personality traits for emergency department outcomes. The present study used data from 200 patients (effective Ns range from 84 to 191), who were being discharged from the emergency department at an urban hospital, to investigate whether the Big Five personality traits were associated with post-discharge outcomes (i.e., filling prescriptions, following up with … Show more

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Cited by 8 publications
(5 citation statements)
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“…Similarly, few of the data sets included in the present analyses use personality-related content that lies beyond the Big Five such as other trait frameworks or measures of values, interests, and goals/motivations. As the present work contributes to a growing body of findings for small or null effects between the Big Five traits and health behaviors (e.g., Atherton et al, 2022) and given research demonstrating stronger associations for personality facets ad nuances relative to broad trait domains (e.g., Stewart et al, 2022), there is growing need to expand the assessment of personality in these large ongoing studies. Of course, the prospect of expanding assessment in these studies is a challenge in itself, as the demands on participants’ time and attention are already substantial.…”
Section: Discussionmentioning
confidence: 96%
See 1 more Smart Citation
“…Similarly, few of the data sets included in the present analyses use personality-related content that lies beyond the Big Five such as other trait frameworks or measures of values, interests, and goals/motivations. As the present work contributes to a growing body of findings for small or null effects between the Big Five traits and health behaviors (e.g., Atherton et al, 2022) and given research demonstrating stronger associations for personality facets ad nuances relative to broad trait domains (e.g., Stewart et al, 2022), there is growing need to expand the assessment of personality in these large ongoing studies. Of course, the prospect of expanding assessment in these studies is a challenge in itself, as the demands on participants’ time and attention are already substantial.…”
Section: Discussionmentioning
confidence: 96%
“…In addition to our focus on broad types of health care use, we also focused on broad Big Five traits because the same five traits (or a subset of them) were assessed in all 15 data sets. However, more specific personality facets or nuances (Stewart et al, 2022) may be more strongly associated with health care use and may provide more information about why traits are associated with health care use (e.g., Atherton et al, 2022). Future research should examine associations between personality traits, facets, and nuances, and more specific types of health care use.…”
Section: Implications For Health Care Delivery and Policymentioning
confidence: 99%
“…In addition to our focus on broad types of healthcare use, we also focused on broad Big Five traits because the same five traits (or a subset of them) were assessed in all 15 datasets. However, more specific personality facets or nuances (Stewart et al, 2022) may be more strongly associated with healthcare use and may provide more information about why traits are associated with healthcare use (e.g., Atherton et al, 2021). Future research should examine associations between personality traits, facets, and nuances, and more specific types of healthcare use.…”
Section: Implications For Healthcare Delivery and Policymentioning
confidence: 99%
“…The beliefs about medication which influence non adherence are moderated by specific personality traits (12). Personality trait can predict healthcare utilization as well as health outcomes (13).In Italy neuroticism and conscientiousness were the most personality traits associated with psychotropic medication non adherence. High levels of conscientiousness traits were related to poorer understanding of the clinical information received from healthcare professionals (14).…”
Section: Introductionmentioning
confidence: 99%