Literature DB >> 25157534

Death anxiety in hospitalized end-of-life patients as captured from a structured electronic health record: differences by patient and nurse characteristics.

Muhammad Kamran Lodhi, Umer Iftikhar Cheema, Janet Stifter, Diana J Wilkie, Gail M Keenan, Yingwei Yao, Rashid Ansari, Ashfaq A Khokhar.   

Abstract

The nursing outcomes of hospitalized patients whose plans of care include death anxiety, which is a diagnosis among patients at the end-of-life, are obscure. The authors of the current article applied data mining techniques to nursing plan-of-care data for patients diagnosed with death anxiety, as defined by North American Nursing Diagnosis Association International, from four different hospitals to examine nursing care outcomes and associated factors. Results indicate that <50% of patients met the expected outcome of comfortable death. Gerontology unit patients were more likely to meet the expected outcome than patients from other unit types, although results were not statistically significant. Younger patients (i.e., age <65) had a lower chance of meeting the outcome compared with older patients (i.e., age ≥65) (χ(2)(1) = 9.266, p < 0.004). Longer stays improved the chances of meeting the outcome (χ(2)(2) = 6.47, p < 0.04). Results indicate that death anxiety outcomes are suboptimal and suggest the need to better educate clinicians about diagnosing and treating death anxiety among patients who face the end-of-life transition. Copyright 2014, SLACK Incorporated.

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Year:  2014        PMID: 25157534      PMCID: PMC4697309          DOI: 10.3928/19404921-20140818-01

Source DB:  PubMed          Journal:  Res Gerontol Nurs        ISSN: 1938-2464            Impact factor:   1.571


  21 in total

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  11 in total

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4.  HPNA 2019-2022 Research Agenda: Development and Rationale.

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5.  Acceptability of Clinical Decision Support Interface Prototypes for a Nursing Electronic Health Record to Facilitate Supportive Care Outcomes.

Authors:  Janet Stifter; Vanessa E C Sousa; Alessandro Febretti; Karen Dunn Lopez; Andrew Johnson; Yingwei Yao; Gail M Keenan; Diana J Wilkie
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6.  Symptom burden in advanced breast cancer patients and its association between death anxiety and psychological distress.

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7.  Framework for Mining and Analysis of Standardized Nursing Care Plan Data.

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8.  Nurses' Numeracy and Graphical Literacy: Informing Studies of Clinical Decision Support Interfaces.

Authors:  Karen Dunn Lopez; Diana J Wilkie; Yingwei Yao; Vanessa Sousa; Alessandro Febretti; Janet Stifter; Andrew Johnson; Gail M Keenan
Journal:  J Nurs Care Qual       Date:  2016 Apr-Jun       Impact factor: 1.597

9.  Nurse Continuity and Hospital-Acquired Pressure Ulcers: A Comparative Analysis Using an Electronic Health Record "Big Data" Set.

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10.  Improving palliative and end-of-life care with machine learning and routine data: a rapid review.

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