ORIGINAL ARTICLE: EPIDEMIOLOGY, CLINICAL PRACTICE AND HEALTH

Survival prediction among nursing home residents: A longitudinal study

Corresponding Author

Claudia Kam Yuk Lai

[email protected]

School of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR

Correspondence: Professor Claudia K Y Lai PhD, School of Nursing, The Hong Kong Polytechnic University, Yuk Choi Road, Hung Hom, Kowloon, Hong Kong SAR. Email: [email protected]Search for more papers by this author

Lily Yuen Wah Ho,

Lily Yuen Wah Ho

orcid.org/0000-0001-8967-8763

School of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR

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Kenny Chi Wing Chin,

Kenny Chi Wing Chin

School of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR

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Enid Wai Yung Kwong,

Enid Wai Yung Kwong

School of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR

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Claudia Kam Yuk Lai,

Corresponding Author

Claudia Kam Yuk Lai

[email protected]

School of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR

Lily Yuen Wah Ho,

Lily Yuen Wah Ho

orcid.org/0000-0001-8967-8763

School of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR

Search for more papers by this author

Kenny Chi Wing Chin,

Kenny Chi Wing Chin

School of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR

Search for more papers by this author

Enid Wai Yung Kwong,

Enid Wai Yung Kwong

School of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR

Search for more papers by this author

First published: 15 November 2017

https://doi.org/10.1111/ggi.13197

Citations: 4

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Abstract

Aim

To determine the survival time and predictors of survival of residents in a nursing home.

Methods

Nursing home residents admitted from June 2008 (when the nursing home started operating) to December 2012 (n = 230) to a new nursing home in Hong Kong were prospectively followed. The predictors of survival in the residents were assessed annually, with the exception of those who did not want to continue with the study, or were hospitalized, discharged from the nursing home or died, to compare changes occurring from 2008 to 2012. Cox's regression analysis was used to examine the predictors of survival.

Results

A total of 66 of the nursing home residents (28.7%) died during the study period. The median length of survival was 20.46 months. Sex, the number of diseases, depressive symptoms, cognitive status and nutritional status were found to be significant predictors of survival.

Conclusions

It is crucial for healthcare providers to offer quality care to residents in long-term care to enhance their well-being in the final sojourn of their lives. Although there are no consistent reports of predictors in the international literature, it is important to address the modifiable predictors, as this might lead to improvements in the quality of life of the residents. Geriatr Gerontol Int 2018; 18: 428–433.

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Volume18, Issue3

March 2018

Pages 428-433

Survival prediction among nursing home residents: A longitudinal study

Abstract

Aim

Methods

Results

Conclusions

References

Citing Literature

References

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Survival prediction among nursing home residents: A longitudinal study

Abstract

Aim

Methods

Results

Conclusions

References

Citing Literature

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