How the Frailty Index May Support the Allocation of Health Care Resources: An Example From the INCUR Study

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• 作者：Matteo Cesari ; MD ; PhD^a ; ^b ; ^{macesari@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Nadege Costa ; PhD^c ; Emiel O. Hoogendijk ; PhD^d ; Bruno Vellas ; MD ; PhD^a ; ^b ; Marco Canevelli ; MD^e ; Mario Ulises Pé ; rez-Zepeda ; MD ; PhD^f
• 关键词：Aging ; geriatrics ; frailty ; health economics
• 刊名：Journal of the American Medical Directors Association
• 出版年：2016
• 出版时间：1 May 2016
• 年：2016
• 卷：17
• 期：5
• 页码：448-450
• 全文大小：332 K

文摘

The Frailty Index (FI), proposed by Rockwood and Mitniski, measures the deficits accumulation occurring with aging, and can be generated from the results of a comprehensive clinical assessment. Its construct (based on pure arithmetical assumptions) may represent a unique feature for supporting unbiased comparisons among clinical facilities/services.

Objective

To propose an example depicting how the FI may support health economic evaluations and provide insights for public health.

Design

Observational study.

Setting

Nine nursing homes participating in the “Incidence of pNeumonia and related ConseqUences in nursing home Residents” (INCUR) study.

Subjects

A sample of 345 older persons living in nursing homes.

Methods

A 30-item FI was generated from clinical data retrieved from medical charts. Health care expenditures that occurred over 12 months of follow-up for each participant were obtained from the Caisse Primaire d'Assurance Maladie. Descriptive analyses describing the relationships between the FI of residents with the annual health care expenditures according to nursing home are presented.

Results

Mean age of the study sample was 86.0 (SD 7.9) years. The median annual cost per patient was 27,717.75 (interquartile range, IQR 25,917.60–32,118.02) Euros. The median FI was 0.33 (IQR 0.27–0.43). Results are graphically presented to highlight clinical and economic differences across nursing homes, so as to identify potential discrepancies between clinical burden and consumed resources.

Conclusions

In this article, an example on how the FI may support health economic analyses and promote an improved allocation of healthcare resources is presented.