Literature DB >> 33499835

Home hospitalization for palliative cancer care: factors associated with unplanned hospital admissions and death in hospital.

Vincent Gamblin1, Chloé Prod'homme2,3, Adrien Lecoeuvre4, André -Michel Bimbai4, Joël Luu4, Pierre-Alexandre Hazard5, Arlette Da Silva6, Stéphanie Villet6, Marie-Cécile Le Deley4,7, Nicolas Penel4,8.   

Abstract

BACKGROUND: Home hospitalization at the end of life can sometimes be perturbed by unplanned hospital admissions (UHAs, defined as any admission that is not part of a preplanned care procedure), which increase the likelihood of death in hospital. The objectives were to describe the occurrence and causes of UHAs in cancer patients receiving end-of-life care at home, and to identify factors associated with UHAs and death in hospital.
METHODS: A retrospective, single-center study (performed at a regional cancer center in the city of Lille, northern France) of advanced cancer patients discharged to home hospitalization between January 2014 and December 2017. We estimated the incidence of UHA over time using Kaplan-Meier method and Kalbfleish and Prentice method. We investigated factors associated with the risk UHA in cause-specific Cox models. We evaluated factors associated with death in hospital in logistic regressions.
RESULTS: One hundred and forty-two patients were included in the study. Eighty-two patients (57.7 %) experienced one or more UHAs, a high proportion of which occurred within 1 month after discharge to home. Most UHAs were related to physical symptoms and were initiated by the patient's family physician. A post-discharge palliative care consultation was associated with a significantly lower incidence of UHAs. Sixty-five patients (47.8 % of the deaths) died in hospital. In a multivariate analysis, living alone and the presence of one or more children at home were associated with death in hospital.
CONCLUSIONS: More than 40 % of cancer patients receiving end of life home hospitalization were not readmitted to hospital, reflecting the effectiveness of this type of palliative care setting. However, over half of the UHAs were due to an acute intercurrent event. Our results suggest that more efforts should be focused on anticipating these events at home - primarily via better upstream coordination between hospital physicians and family physicians.

Entities:  

Keywords:  End‐of‐life care; Home hospitalization; Hospital readmission; Palliative care

Year:  2021        PMID: 33499835      PMCID: PMC7839201          DOI: 10.1186/s12904-021-00720-7

Source DB:  PubMed          Journal:  BMC Palliat Care        ISSN: 1472-684X            Impact factor:   3.234


  40 in total

1.  Preferences for place of care and place of death among informal caregivers of the terminally ill.

Authors:  Kevin Brazil; Doris Howell; Michel Bedard; Paul Krueger; Christine Heidebrecht
Journal:  Palliat Med       Date:  2005-09       Impact factor: 4.762

2.  Time to get it right: are preferences for place of death more stable than we think?

Authors:  Irene J Higginson; Sue Hall; Jonathan Koffman; Julia Riley; Barbara Gomes
Journal:  Palliat Med       Date:  2010-02-09       Impact factor: 4.762

Review 3.  Do palliative care interventions reduce emergency department visits among patients with cancer at the end of life? A systematic review.

Authors:  Lisa D DiMartino; Bryan J Weiner; Deborah K Mayer; George L Jackson; Andrea K Biddle
Journal:  J Palliat Med       Date:  2014-12       Impact factor: 2.947

4.  Determinants of place of death for recipients of home-based palliative care.

Authors:  Lisa Masucci; Denise N Guerriere; Richard Cheng; Peter C Coyte
Journal:  J Palliat Care       Date:  2010       Impact factor: 2.250

5.  The association between in-patient death, utilization of hospital resources and availability of palliative home care for cancer patients.

Authors:  Alberto Alonso-Babarro; Jenaro Astray-Mochales; Felicitas Domínguez-Berjón; Ricard Gènova-Maleras; Eduardo Bruera; Antonio Díaz-Mayordomo; Carlos Centeno Cortes
Journal:  Palliat Med       Date:  2012-04-04       Impact factor: 4.762

6.  A retrospective review of place of death of palliative care patients in regional north Queensland.

Authors:  A Howat; C Veitch; W Cairns
Journal:  Palliat Med       Date:  2007-01       Impact factor: 4.762

7.  Involvement of a Case Manager in Palliative Care Reduces Hospitalisations at the End of Life in Cancer Patients; A Mortality Follow-Back Study in Primary Care.

Authors:  Annicka G M van der Plas; Kris C Vissers; Anneke L Francke; Gé A Donker; Wim J J Jansen; Luc Deliens; Bregje D Onwuteaka-Philipsen
Journal:  PLoS One       Date:  2015-07-24       Impact factor: 3.240

8.  Impact of community based, specialist palliative care teams on hospitalisations and emergency department visits late in life and hospital deaths: a pooled analysis.

Authors:  Hsien Seow; Kevin Brazil; Jonathan Sussman; José Pereira; Denise Marshall; Peter C Austin; Amna Husain; Jagadish Rangrej; Lisa Barbera
Journal:  BMJ       Date:  2014-06-06

9.  Hospitalization Rates and Predictors of Rehospitalization Among Individuals With Advanced Cancer in the Year After Diagnosis.

Authors:  Robin L Whitney; Janice F Bell; Daniel J Tancredi; Patrick S Romano; Richard J Bold; Jill G Joseph
Journal:  J Clin Oncol       Date:  2017-08-29       Impact factor: 50.717

10.  Readmissions in Cancer Patients After Receiving Inpatient Palliative Care in Taiwan: A 9-Year Nationwide Population-Based Cohort Study.

Authors:  Hsiao-Ting Chang; Chun-Ku Chen; Ming-Hwai Lin; Pesus Chou; Tzeng-Ji Chen; Shinn-Jang Hwang
Journal:  Medicine (Baltimore)       Date:  2016-02       Impact factor: 1.889

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  1 in total

1.  Predicting unplanned hospital readmission in palliative outpatients (PRePP) - study protocol of a longitudinal, prospective study to identify informal caregiver-related and structural predictors.

Authors:  Leopold Hentschel; André Wellesen; Luisa Christin Krause; Maria von Havranek; Michael Kramer; Beate Hornemann; Martin Bornhäuser; Ulrich Schuler; Katharina Schütte
Journal:  BMC Palliat Care       Date:  2022-05-02       Impact factor: 3.113

  1 in total

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