Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Jan 24:10.1097/SLA.0000000000006218.
doi: 10.1097/SLA.0000000000006218. Online ahead of print.

Association of Frailty with Healthcare Utilization for Patients over One Year Following Surgical Evaluation

Affiliations

Association of Frailty with Healthcare Utilization for Patients over One Year Following Surgical Evaluation

Stephen J Flinn Jr et al. Ann Surg. .

Abstract

Objective: Characterize the distribution of healthcare utilization associated with pre-operative frailty in the year following evaluation by a surgeon.

Summary background data: Frailty is associated with increased morbidity, mortality, and costs for surgical patients. However, the total financial burden for frail patients beyond the index surgery and inpatient stay remains unknown.

Methods: Prospective cohort assembled from February 2016 to December 2020 within a multi-hospital integrated healthcare delivery and finance system (IDFS), from patients evaluated with the Risk Analysis Index (RAI) of frailty. Inclusion criteria: age greater than 18, valid RAI, membership in the IDFS Health Plan. Data were stratified by frailty and surgical status.

Results: The mean (SD) age was 54.7 (16.1) and 58.2% female of the cohort (n=86,572). For all patients with reimbursement for surgery (n=53,856), frail and very frail patients incurred respective increases of 8% ( P =0.027) and 29% ( P <0.001) on utilization relative to the normal group. Robust patients saw a 52% ( P <0.001) decrease. This pattern was more pronounced in the cohort without surgery (n=32,716). The increase over normal utilization for frail and very frail patients increased to 23% ( P =0.004) and 68% ( P <0.001), respectively. Utilization among robust patients decreased 62% ( P <0.001). Increases among the frail were primarily due to increased inpatient medical and post-acute care services (all P <0.001).

Conclusions: Patient frailty is associated with increased total healthcare utilization, primarily via increased inpatient medical and post-acute care following surgery. Quantifying these frailty-related financial burdens may inform clinical decision making as well as the design of value-based reimbursement strategies.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest Disclosures : Dr Hall reports an unpaid consulting relationship with Future Assure, LLC.

Figures

Figure 1.
Figure 1.
Inclusion criteria of cohort. Each box stratified into one of four RAI* groups**: robust, normal, frail, and very frail. *RAI: Risk Analysis Index **Groups: Robust = RAI ≤ 29; Normal = RAI 30–36; Frail = RAI 37–44; Very Frail = RAI≥45 †: CHC: Community HealthChoices is Pennsylvania’s mandatory Medicaid managed care program for individuals dually eligible for both Medicaid and Medicare

Similar articles

Cited by

References

    1. Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci 2001; 56(3):M146–56. - PubMed
    1. George EL, Hall DE, Youk A, et al. Association Between Patient Frailty and Postoperative Mortality Across Multiple Noncardiac Surgical Specialties. JAMA Surg 2021; 156(1):e205152. - PMC - PubMed
    1. Hall DE, Arya S, Schmid KK, et al. Development and Initial Validation of the Risk Analysis Index for Measuring Frailty in Surgical Populations. JAMA Surg 2017; 152(2):175–182. - PMC - PubMed
    1. Arya S, Varley P, Youk A, et al. Recalibration and External Validation of the Risk Analysis Index: A Surgical Frailty Assessment Tool. Ann Surg 2020; 272(6):996–1005. - PMC - PubMed
    1. Makary MA, Segev DL, Pronovost PJ, et al. Frailty as a predictor of surgical outcomes in older patients. J Am Coll Surg 2010; 210(6):901–8. - PubMed

LinkOut - more resources