Literature DB >> 12558718

Mortality-related factors and 1-year survival in nursing home residents.

Jonathan M Flacker1, Dan K Kiely.   

Abstract

OBJECTIVES: To identify factors associated with 1-year mortality in newly admitted and long-stay (in nursing home longer than 1 year) nursing home residents by linking Minimum Data Set (MDS) information with data from the National Death Index and use these factors to create a useful tool for estimating risk levels for 1-year mortality.
DESIGN: Retrospective cohort study with development and validation cohorts.
SETTING: All 643 Medicare and Medicaid certified nursing homes in New York State during the study period. PARTICIPANTS: The study included data on residents collected during full MDS assessments from June 1994 through December 1997. A total of 100,669 nursing home residents met the inclusion criteria for the newly admitted resident analysis. The newly admitted development cohort included 60,341 residents, and the newly admitted validation cohort included 40,328 residents. A total of 36,125 nursing home residents met inclusion criteria for the long-stay (residing in nursing home>1 year) cohort. The long-stay development cohort included 22,749 residents, and the long-stay validation cohort included 15,068 residents. MEASUREMENTS: The analytical approach was similar for the newly admitted and long-stay resident cohorts. Resident characteristics that were considered potential risk factors for mortality were examined individually in bivariate proportional hazards models, and factors with P <.05 were entered into a proportional hazards regression stepwise model. The strongest factors based on their chi-square values were selected for entry into a multivariate proportional hazards analysis. Hazard ratios (HRs), 95% confidence intervals, and P-values were derived from this model. A mortality risk index score was created for each resident by summing the value of each HR in the multivariate model for those who had the risk factor. A sensitivity analysis was performed to determine the effect of residents with an unknown death status. A similar analysis was performed on the validation cohort to validate the original results.
RESULTS: Major factors associated with 1-year mortality were identified in both the newly admitted and long-stay cohorts. In both newly admitted and long-stay residents, a higher mortality risk index score was associated with increased 1-year mortality in both the development and validation cohorts.
CONCLUSIONS: MDS data can identify major factors associated with 1-year mortality in newly admitted and long-stay nursing home residents. These factors can be used to stratify residents into risk categories for 1-year mortality. This information could be important to residents, their families, and their physicians when developing care plans, as well as to agencies interested in healthcare resource planning.

Entities:  

Mesh:

Year:  2003        PMID: 12558718     DOI: 10.1046/j.1532-5415.2003.51060.x

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


  37 in total

1.  Development of a prognostic model for six-month mortality in older adults with declining health.

Authors:  Paul K J Han; Minjung Lee; Bryce B Reeve; Angela B Mariotto; Zhuoqiao Wang; Ron D Hays; K Robin Yabroff; Marie Topor; Eric J Feuer
Journal:  J Pain Symptom Manage       Date:  2011-11-08       Impact factor: 3.612

2.  Findings of videofluoroscopic swallowing studies are associated with tube feeding dependency at discharge in stroke patients with dysphagia.

Authors:  Yi-Nien Lin; Ssu-Yuan Chen; Tyng-Guey Wang; Yeun-Chung Chang; Wei-Chu Chie; I-Nan Lien
Journal:  Dysphagia       Date:  2005       Impact factor: 3.438

3.  Association between body mass index and mortality among institutionalized elderly adults in Japan.

Authors:  Akemi Nakazawa; Kazutoshi Nakamura; Kaori Kitamura; Yoshiaki Yoshizawa
Journal:  Environ Health Prev Med       Date:  2013-07-27       Impact factor: 3.674

4.  Fracture Risk Assessment in Long-term Care (FRAiL): Development and Validation of a Prediction Model.

Authors:  Sarah D Berry; Andrew R Zullo; Yoojin Lee; Vincent Mor; Kevin W McConeghy; Geetanjoli Banerjee; Ralph B D'Agostino; Lori Daiello; David Dosa; Douglas P Kiel
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2018-05-09       Impact factor: 6.053

5.  [Wishes of nursing home residents for their dying].

Authors:  Sandra Kurkowski; Maria Heckel; Käte Volland-Schüssel
Journal:  Z Gerontol Geriatr       Date:  2018-09-17       Impact factor: 1.281

6.  Suicide Risk in Nursing Homes and Assisted Living Facilities: 2003-2011.

Authors:  Briana Mezuk; Matthew Lohman; Marc Leslie; Virginia Powell
Journal:  Am J Public Health       Date:  2015-05-14       Impact factor: 9.308

7.  The advanced dementia prognostic tool: a risk score to estimate survival in nursing home residents with advanced dementia.

Authors:  Susan L Mitchell; Susan C Miller; Joan M Teno; Roger B Davis; Michele L Shaffer
Journal:  J Pain Symptom Manage       Date:  2010-11       Impact factor: 3.612

8.  Physicians' perceptions of the value of prognostic models: the benefits and risks of prognostic confidence.

Authors:  Sarah A M Hallen; Norbert A M Hootsmans; Laura Blaisdell; Caitlin M Gutheil; Paul K J Han
Journal:  Health Expect       Date:  2014-05-12       Impact factor: 3.377

9.  Development and Validation of a 10-Year Mortality Prediction Model: Meta-Analysis of Individual Participant Data From Five Cohorts of Older Adults in Developed and Developing Countries.

Authors:  Claudia Kimie Suemoto; Peter Ueda; Hiram Beltrán-Sánchez; Maria Lucia Lebrão; Yeda Aparecida Duarte; Rebeca Wong; Goodarz Danaei
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2017-03-01       Impact factor: 6.053

10.  Nutritional assessment in an Asian nursing home and its association with mortality.

Authors:  M Chan; Y P Lim; A Ernest; T L Tan
Journal:  J Nutr Health Aging       Date:  2010-01       Impact factor: 4.075

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.