Literature DB >> 27549337

Racial Differences in Hospitalizations of Dying Medicare-Medicaid Dually Eligible Nursing Home Residents.

Shubing Cai1, Susan C Miller2, Dana B Mukamel3.   

Abstract

OBJECTIVES: To examine whether racial differences in end-of-life (EOL) hospitalizations vary according to the presence of advance directives, specifically do-not-hospitalize (DNH) orders, and individual cognitive status in nursing home (NH) residents.
DESIGN: National data, including Medicare data and Minimum Data Set (MDS) 2.0, between January 1, 2007, and September 30, 2010, were linked. EOL hospitalizations were hospitalizations in the last 30 days of life. Linear probability models with an interaction term (between race and DNH) and NH fixed-effects were estimated. The analyses were stratified according to cognitive status.
SETTING: Nursing homes in the United States. PARTICIPANTS: Dually eligible Medicare-Medicaid decedents enrolled in Medicare fee-for-service plans and long-stay NH residents (in NHs ≥ 90 days before death) (N = 394,948). MEASUREMENTS: Racial difference in EOL hospitalizations from a NH.
RESULTS: End-of-life hospitalization rate was 31.7% for whites and 42.8% for blacks. For participants without DNH orders, adjusted probability of EOL hospitalization was higher for blacks than for whites: 2.7 percentage points in those with moderate cognitive impairment (P < .001) and 4.7 percentage points in those with severe cognitive impairment (P < .001). For those with DNH orders, adjusted racial differences in EOL hospitalization were not statistically significant in those with moderate (P = .25) or severe (P = .93) cognitive impairment, but blacks had a higher probability of EOL hospitalization than whites if they had relatively intact cognitive status.
CONCLUSION: Racial differences in EOL hospitalization varied with DNH orders and cognitive status in dying residents. Future research is necessary to understand the reasons behind these variations.
© 2016, Copyright the Authors Journal compilation © 2016, The American Geriatrics Society.

Entities:  

Keywords:  end-of-life hospitalization; nursing homes; racial differences

Mesh:

Year:  2016        PMID: 27549337      PMCID: PMC5026884          DOI: 10.1111/jgs.14284

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   5.562


  54 in total

1.  Hospice enrollment and hospitalization of dying nursing home patients.

Authors:  S C Miller; P Gozalo; V Mor
Journal:  Am J Med       Date:  2001-07       Impact factor: 4.965

2.  Racial disparities in the outcomes of communication on medical care received near death.

Authors:  Jennifer W Mack; M Elizabeth Paulk; Kasisomayajula Viswanath; Holly G Prigerson
Journal:  Arch Intern Med       Date:  2010-09-27

3.  The costs and potential savings associated with nursing home hospitalizations.

Authors:  David C Grabowski; A James O'Malley; Nancy R Barhydt
Journal:  Health Aff (Millwood)       Date:  2007 Nov-Dec       Impact factor: 6.301

Review 4.  Reducing hospitalizations from long-term care settings.

Authors:  R Tamara Konetzka; William Spector; M Rhona Limcangco
Journal:  Med Care Res Rev       Date:  2007-09-25       Impact factor: 3.929

5.  Racial variations in end-of-life care.

Authors:  F P Hopp; S A Duffy
Journal:  J Am Geriatr Soc       Date:  2000-06       Impact factor: 5.562

6.  Pressure ulcer prevalence among black and white nursing home residents in New York state: evidence of racial disparity?

Authors:  Shubing Cai; Dana B Mukamel; Helena Temkin-Greener
Journal:  Med Care       Date:  2010-03       Impact factor: 2.983

7.  End-of-life care in black and white: race matters for medical care of dying patients and their families.

Authors:  Lisa C Welch; Joan M Teno; Vincent Mor
Journal:  J Am Geriatr Soc       Date:  2005-07       Impact factor: 5.562

8.  The MDS-CHESS scale: a new measure to predict mortality in institutionalized older people.

Authors:  John P Hirdes; Dinnus H Frijters; Gary F Teare
Journal:  J Am Geriatr Soc       Date:  2003-01       Impact factor: 5.562

9.  Health literacy not race predicts end-of-life care preferences.

Authors:  Angelo E Volandes; Michael Paasche-Orlow; Muriel R Gillick; E F Cook; Shimon Shaykevich; Elmer D Abbo; Lisa Lehmann
Journal:  J Palliat Med       Date:  2008-06       Impact factor: 2.947

10.  Influence of race on inpatient treatment intensity at the end of life.

Authors:  Amber E Barnato; Chung-Chou H Chang; Olga Saynina; Alan M Garber
Journal:  J Gen Intern Med       Date:  2007-03       Impact factor: 5.128

View more
  6 in total

Review 1.  [Emergency situations and emergency department visits in nursing homes-a scoping review about circumstances and healthcare interventions].

Authors:  Carsten Bretschneider; Juliane Poeck; Antje Freytag; Andreas Günther; Nils Schneider; Sven Schwabe; Jutta Bleidorn
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2022-05-17       Impact factor: 1.595

Review 2.  Racial/Ethnic Disparities in Nursing Home End-of-Life Care: A Systematic Review.

Authors:  Leah V Estrada; Mansi Agarwal; Patricia W Stone
Journal:  J Am Med Dir Assoc       Date:  2021-01-09       Impact factor: 4.669

3.  Hospitalizations of nursing home residents at the end of life: A systematic review.

Authors:  Katharina Allers; Falk Hoffmann; Rieke Schnakenberg
Journal:  Palliat Med       Date:  2019-08-01       Impact factor: 4.762

4.  Nursing Home Residents Face Severe Functional Limitation or Death After Hospitalization for Pneumonia.

Authors:  Matthew F Griffith; Cari R Levy; Toral J Parikh; Jennifer E Stevens-Lapsley; Leslie B Eber; Sing-I T Palat; Pedro L Gozalo; Joan M Teno
Journal:  J Am Med Dir Assoc       Date:  2020-10-21       Impact factor: 4.669

5.  Hospitalization at the end of life among nursing home residents with dementia: a systematic review.

Authors:  Falk Hoffmann; Anke Strautmann; Katharina Allers
Journal:  BMC Palliat Care       Date:  2019-09-10       Impact factor: 3.234

6.  [Hospitalization of nursing home residents in the last phase of life: an analysis of health insurance data].

Authors:  Falk Hoffmann; Katharina Allers
Journal:  Z Gerontol Geriatr       Date:  2020-03-17       Impact factor: 1.281

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.