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Related Concept Videos

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The discharge summary is crucial as it enables a smooth transition from a healthcare facility to a patient's home or another care setting. This critical document facilitates seamless continuity of care, ensuring patients receive the necessary support and attention.
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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
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Live Discharge From Hospice: A Systematic Review.

Serena Wu1, Deborah L Volker

  • 1Serena Wu, is undergraduate honors BSN student, The University of Texas at Austin School of Nursing. Deborah L. Volker, PhD, RN, FAAN, is associate professor emerita, The University of Texas at Austin School of Nursing.

Journal of Hospice and Palliative Nursing : JHPN : the Official Journal of the Hospice and Palliative Nurses Association
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Live hospice discharges, occurring before death, can leave patients and families unsupported. This review found live discharge rates between 5-23%, influenced by hospice type and location, with limited patient perspectives captured.

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Area of Science:

  • Palliative Care
  • Health Services Research
  • Gerontology

Background:

  • Live discharges from hospice services, where patients leave before death, can create significant care gaps.
  • Patients and families may experience abandonment and struggle with unmet needs after leaving hospice.
  • Understanding the factors and experiences surrounding live discharges is crucial for improving end-of-life care.

Purpose of the Study:

  • To systematically review and synthesize existing literature on live hospice discharges.
  • To identify the frequency, patient characteristics, and hospice characteristics associated with live discharges.
  • To explore the patient and family experiences of live discharges from hospice.

Main Methods:

  • A systematic review of studies published between 2008 and 2018 was conducted.
  • Inclusion criteria were applied to 44 identified studies, with 13 meeting the criteria for analysis.
  • Data extraction focused on live discharge rates, patient demographics, prehospice conditions, and hospice characteristics.

Main Results:

  • Live discharge rates ranged from 5% to 23% across the included studies.
  • Patient characteristics varied widely; for-profit hospices and rural locations were associated with higher live discharge likelihood.
  • Only two studies addressed patient/family perspectives, highlighting significant difficulties following the loss of hospice support.

Conclusions:

  • Live discharges represent a notable phenomenon in hospice care with variable rates and influencing factors.
  • There is a significant gap in understanding the patient and family experience of live discharges.
  • Further research is needed to investigate hospices with high live discharge rates and to develop supportive interventions.