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Clinician Distress Trajectories When Caring for Seriously Ill Hospitalized Patients: A Mixed-Methods Study.
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Clinician Distress Trajectories When Caring for Seriously Ill Hospitalized Patients: A Mixed-Methods Study.
자료유형  
 학위논문
Control Number  
0017163086
International Standard Book Number  
9798384024460
Dewey Decimal Classification Number  
610.73
Main Entry-Personal Name  
Foxwell, Anessa M.
Publication, Distribution, etc. (Imprint  
[S.l.] : University of Pennsylvania., 2024
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2024
Physical Description  
150 p.
General Note  
Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
General Note  
Advisor: Ulrich, Connie M.
Dissertation Note  
Thesis (Ph.D.)--University of Pennsylvania, 2024.
Summary, Etc.  
요약Over 33 million people are hospitalized every year in the US, many of whom are seriously ill and experience substantial distress. Clinicians caring for these complex patients also experience distress while simultaneously juggling competing clinical demands. Clinician distress is underrecognized and rarely identified in real-time, however it may impact serious illness care and patient outcomes. The overall purpose of this prospective cohort study was to describe and identify clinician distress trajectories in general medicine hospital clinicians, i.e. physicians and advanced practice providers (APPs) caring for hospitalized seriously ill patients-defined as patients with a high-risk of short-term mortality-and examine how these trajectories affect palliative care delivery.Manuscript 1 employed dimensional analysis to understand the nature of clinician distress. Manuscripts 2 and 3 used data prospectively collected in 2023 with a total of 184 hospital encounters (clinicians, n=68, matched with seriously ill patients, n=151). In Manuscript 2, longitudinal cluster analysis resulted in four distress typologies: low (n=33), moderate (n=47), high (n=34), and variable (n=28). Clinicians also experience symptoms: fatigue (59.3%), stress (57.4%), worry (47.2%), insomnia (33.3%), anger (13.9%), sadness (9.3%), and pain (4.6%). Univariate logistic regression modeling, APPs were significantly more likely (OR=6.159, p=0.00255) than physicians to be in a higher distress typology. Clinicians with fatigue (OR=3.54, p=0.049), insomnia (OR=5.08, p=0.015), worry (OR=4.65, p=0.009), stress (OR=4.20, p=0.031), sadness (OR=21.0, p=0.018) were more likely in a higher distress typology.Manuscript 3 used qualitative interviews with clinicians (n=25) from each typology to comprehensively understand the experience of distress and integrate data. Qualitative themes of distress experience and sources of distress were compared within and between unique typologies. Mixed analysis confirmed typologies with increasing mean distress thermometer scores and clinician higher emotional symptom burden.Findings advance the understanding of in-the-moment psychological distress for hospital clinicians caring for those with serious illness. Not all clinicians experience distress in the same way; however, findings may help personalize interventions for distress based on the four distinct typologies. Immediate implications for healthcare systems in the current post-pandemic era are to acknowledge and quantify clinician distress, and to develop innovative ways to provide support to distressed clinicians. 
Subject Added Entry-Topical Term  
Nursing.
Subject Added Entry-Topical Term  
Mental health.
Subject Added Entry-Topical Term  
Bioinformatics.
Index Term-Uncontrolled  
Advanced practice providers
Index Term-Uncontrolled  
Palliative care delivery
Index Term-Uncontrolled  
Clinician distress
Index Term-Uncontrolled  
Psychological distress
Index Term-Uncontrolled  
Hospital clinicians
Added Entry-Corporate Name  
University of Pennsylvania Nursing
Host Item Entry  
Dissertations Abstracts International. 86-02B.
Electronic Location and Access  
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Control Number  
joongbu:657276
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