Literature DB >> 26991831

Spousal Characteristics and Older Adults' Hospice Use: Understanding Disparities in End-of-Life Care.

Katherine A Ornstein1,2, Melissa D Aldridge1, Christine A Mair3, Rebecca Gorges4, Albert L Siu1,5, Amy S Kelley1,5.   

Abstract

BACKGROUND: Hospice use has been shown to benefit quality of life for patients with terminal illness and their families, with further evidence of cost savings for Medicare and other payers. While disparities in hospice use by patient diagnosis, race, and region are well documented and attention to the role of family members in end-of-life decision-making is increasing, the influence of spousal characteristics on the decision to use hospice is unknown.
OBJECTIVES: To determine the association between spousal characteristics and hospice use.
DESIGN: We used data from the Health and Retirement Study (HRS), a prospective cohort study, linked to the Dartmouth Atlas of Health Care and Medicare claims.
SETTING: National study of 1567 decedents who were married or partnered at the time of death (2000-2011). MEASURES: Hospice use at least 1 day in the last year of life as measured via Medicare claims data. Spousal factors (e.g., education and health status) measured via survey.
RESULTS: In multivariate models controlling for patient factors and regional variation, spouses with lower educational attainment than their deceased spouse had decreased likelihood of hospice use (odds ratio [OR] = 0.58; 95% confidence interval [CI] = 0.40-0.82). Health of the spouse was not significantly associated with likelihood of decedent hospice use in adjusted models. IMPLICATIONS: Although the health of the surviving spouse was not associated with hospice use, their educational level was a predictor of hospice use. Spousal and family characteristics, including educational attainment, should be examined further in relation to disparities in hospice use. Efforts to increase access to high-quality end-of-life care for individuals with serious illness must also address the needs and concerns of caregivers and family.

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Mesh:

Year:  2016        PMID: 26991831      PMCID: PMC4860657          DOI: 10.1089/jpm.2015.0399

Source DB:  PubMed          Journal:  J Palliat Med        ISSN: 1557-7740            Impact factor:   2.947


  41 in total

1.  Hospice usage by minorities in the last year of life: results from the National Mortality Followback Survey.

Authors:  K Allen Greiner; Subashan Perera; Jasjit S Ahluwalia
Journal:  J Am Geriatr Soc       Date:  2003-07       Impact factor: 5.562

2.  Determinants of treatment intensity for patients with serious illness: a new conceptual framework.

Authors:  Amy S Kelley; R Sean Morrison; Neil S Wenger; Susan L Ettner; Catherine A Sarkisian
Journal:  J Palliat Med       Date:  2010-07       Impact factor: 2.947

3.  Family matters in health care delivery.

Authors:  Jennifer L Wolff
Journal:  JAMA       Date:  2012-10-17       Impact factor: 56.272

4.  Hospice role in alleviating the emotional stress of terminal patients and their families.

Authors:  R L Kane; S J Klein; L Bernstein; R Rothenberg; J Wales
Journal:  Med Care       Date:  1985-03       Impact factor: 2.983

5.  Making difficult decisions about hospice enrollment: what do patients and families want to know?

Authors:  David Casarett; Roxane Crowley; Carolyn Stevenson; Sharon Xie; Joan Teno
Journal:  J Am Geriatr Soc       Date:  2005-02       Impact factor: 5.562

6.  Depression among surviving caregivers: does length of hospice enrollment matter?

Authors:  Elizabeth H Bradley; Holly Prigerson; Melissa D A Carlson; Emily Cherlin; R Johnson-Hurzeler; Stanislav V Kasl
Journal:  Am J Psychiatry       Date:  2004-12       Impact factor: 18.112

7.  Impact of hospice disenrollment on health care use and medicare expenditures for patients with cancer.

Authors:  Melissa D A Carlson; Jeph Herrin; Qingling Du; Andrew J Epstein; Colleen L Barry; R Sean Morrison; Anthony L Back; Elizabeth H Bradley
Journal:  J Clin Oncol       Date:  2010-08-30       Impact factor: 44.544

8.  Hospice use among Medicare managed care and fee-for-service patients dying with cancer.

Authors:  Ellen P McCarthy; Risa B Burns; Quyen Ngo-Metzger; Roger B Davis; Russell S Phillips
Journal:  JAMA       Date:  2003-05-07       Impact factor: 56.272

9.  End-of-life planning in a family context: does relationship quality affect whether (and with whom) older adults plan?

Authors:  Deborah Carr; Sara M Moorman; Kathrin Boerner
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2013-05-20       Impact factor: 4.077

10.  Do Community and Caregiver Factors Influence Hospice Use at the End of Life Among Older Adults With Alzheimer Disease?

Authors:  Pauline Karikari-Martin; Judith J McCann; Liesi E Hebert; Samuel C Haffer; Marcia Phillips
Journal:  J Hosp Palliat Nurs       Date:  2012-05       Impact factor: 1.918

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  6 in total

1.  Informal Caregiver Burden, Benefits, and Older Adult Mortality: A Survival Analysis.

Authors:  Teja Pristavec; Elizabeth A Luth
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2020-11-13       Impact factor: 4.077

2.  Depression and Health Care Utilization at End of Life Among Older Adults With Advanced Non-Small-Cell Lung Cancer.

Authors:  Cara L McDermott; Aasthaa Bansal; Scott D Ramsey; Gary H Lyman; Sean D Sullivan
Journal:  J Pain Symptom Manage       Date:  2018-08-17       Impact factor: 3.612

Review 3.  Secondary Analysis of Existing Datasets for Dementia and Palliative Care Research: High-Value Applications and Key Considerations.

Authors:  Lauren J Hunt; See J Lee; Krista L Harrison; Alexander K Smith
Journal:  J Palliat Med       Date:  2017-12-21       Impact factor: 2.947

4.  A national profile of kinlessness at the end of life among older adults: Findings from the Health and Retirement Study.

Authors:  Natalie P Plick; Claire K Ankuda; Christine A Mair; Mohammed Husain; Katherine A Ornstein
Journal:  J Am Geriatr Soc       Date:  2021-04-21       Impact factor: 7.538

5.  Family Caregiving at the End of Life and Hospice Use: A National Study of Medicare Beneficiaries.

Authors:  Vedika Kumar; Claire K Ankuda; Melissa D Aldridge; Mohammed Husain; Katherine A Ornstein
Journal:  J Am Geriatr Soc       Date:  2020-06-30       Impact factor: 7.538

6.  Palliative Care Consultation Reduces Heart Failure Transitions: A Matched Analysis.

Authors:  Michelle S Diop; Garrett S Bowen; Lan Jiang; Wen-Chih Wu; Portia Y Cornell; Pedro Gozalo; James L Rudolph
Journal:  J Am Heart Assoc       Date:  2020-05-27       Impact factor: 5.501

  6 in total

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