Literature DB >> 17583469

Timing of referral to hospice and quality of care: length of stay and bereaved family members' perceptions of the timing of hospice referral.

Joan M Teno1, Janet E Shu, David Casarett, Carol Spence, Ramona Rhodes, Stephen Connor.   

Abstract

Previous research has noted that many persons are referred to hospice in the last days of life. The National Hospice and Palliative Care Organization collaborated with Brown Medical School to create the Family Evaluation of Hospice Care (FEHC) data repository. In 2005, 106,514 surveys from 631 hospices were submitted with complete data on the hospice length of stay and bereaved family member perceptions of the timing of hospice care. Of these surveys, 11.4% of family members believed that they were referred "too late" to hospice. This varied from 0 to 28.1% among the participating hospice programs with 30 or more surveys. Among those with hospice lengths of stay of less than a month, only 16.2% reported they were referred "too late." Although the bereaved family member perceptions of the quality of end-of-life care did not vary by length of stay for each of the FEHC domains, the perception of being referred "too late" was associated with more unmet needs, higher reported concerns, and lower satisfaction. Our results suggest that family members' perception of the timing of hospice referral-not the length of stay-is associated with the quality of hospice care. This perception varies substantially among the participating hospice programs. Future research is needed to understand this variation and how hospice programs are delivering high quality of care despite short length of stay.

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Year:  2007        PMID: 17583469     DOI: 10.1016/j.jpainsymman.2007.04.014

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  64 in total

1.  Children with intellectual disability and hospice utilization.

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2.  Developing successful models of cancer palliative care services.

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3.  The art versus science of predicting prognosis: can a prognostic index predict short-term mortality better than experienced nurses do?

Authors:  David J Casarett; Sue Farrington; Teresa Craig; Julie Slattery; Joan Harrold; Betty Oldanie; Jason Roy; Richard Biehl; Joan Teno
Journal:  J Palliat Med       Date:  2012-05-14       Impact factor: 2.947

4.  Association Between Hospice Use and Depressive Symptoms in Surviving Spouses.

Authors:  Katherine A Ornstein; Melissa D Aldridge; Melissa M Garrido; Rebecca Gorges; Diane E Meier; Amy S Kelley
Journal:  JAMA Intern Med       Date:  2015-07       Impact factor: 21.873

5.  Pain Assessment, Management, and Control Among Patients 65 Years or Older Receiving Hospice Care in the U.S.

Authors:  Meagan E Cea; M Cary Reid; Charles Inturrisi; Lisa R Witkin; Holly G Prigerson; Yuhua Bao
Journal:  J Pain Symptom Manage       Date:  2016-09-29       Impact factor: 3.612

6.  The Effect of Pediatric Palliative Care Policy on Hospice Utilization Among California Medicaid Beneficiaries.

Authors:  Lisa C Lindley
Journal:  J Pain Symptom Manage       Date:  2016-09-29       Impact factor: 3.612

7.  Hospice enrollment saves money for Medicare and improves care quality across a number of different lengths-of-stay.

Authors:  Amy S Kelley; Partha Deb; Qingling Du; Melissa D Aldridge Carlson; R Sean Morrison
Journal:  Health Aff (Millwood)       Date:  2013-03       Impact factor: 6.301

Review 8.  Communication in end-stage cancer: review of the literature and future research.

Authors:  Elizabeth D Trice; Holly G Prigerson
Journal:  J Health Commun       Date:  2009

9.  Characteristics and outcomes of hospice enrollees with dementia discharged alive.

Authors:  Kimberly S Johnson; Katja Elbert-Avila; Maragatha Kuchibhatla; James A Tulsky
Journal:  J Am Geriatr Soc       Date:  2012-08-20       Impact factor: 5.562

10.  A proposed prognostic 7-day survival formula for patients with terminal cancer.

Authors:  Jui-Kun Chiang; Ning-Sheng Lai; Mei-Huang Wang; Shi-Chi Chen; Yee-Hsin Kao
Journal:  BMC Public Health       Date:  2009-09-29       Impact factor: 3.295

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