Estimating cost implications of potentially avoidable hospitalizations among Oncology Care Model patients with prostate cancer

Purpose/Objectives

We sought to estimate the expected cost savings generated if a set of potentially avoidable hospitalizations (PAHs) among oncology care model (OCM) patients with prostate cancer were shifted to an acute care model in the outpatient setting.

Methods

We previously identified a set of 28 PAHs among OCM prostate cancer patients. Outpatient management costs for a characteristically similar cohort of cancer patients were obtained from our institution's ambulatory acute-care Oncology Care Unit (OCU). We excluded OCU visits resulting in hospitalization, involving non-cancer diagnoses, and those missing clinical/financial information. Exact-matching based on the strata of age, categorically-defined presenting complaint, and systemic disease was used to match PAHs to OCU acute care visits. PAH costs obtained from OCM data were compared to costs from matched OCU visits.

Results

We identified 130 acute care OCU visits, of which 47 met inclusion criteria. Twenty-four PAHs (89%) matched to 26 of these OCU visits. PAHs accounted for 5.8% of OCM expenditures during our study period. The mean inpatient cost among matched PAHs was $15,885 compared to $6,227 for matched OCU visits. Boot strapping within each match stratum produced a mean estimated cost savings of $12,151 (95% CI $10,488 to $13,814) per PAH. We estimate this per event savings to yield a 4.4% (95% CI 3.8% to 5.0%) an overall spending decrement for OCM prostate cancer episodes.

Conclusions

PAHs contribute meaningfully to costs of care in oncology. Investment in specialized ambulatory acute care services for oncology patients could lead to substantial cost savings.

Identifying Potentially Avoidable Hospitalizations in Medicare Patients With Prostate Cancer: A Retrospective Analysis

PURPOSE:

If identifiable, potentially avoidable hospitalizations (PAHs) can serve as an important target for cost containment efforts in oncology.

METHODS:

PAHs among a cohort of Medicare patients with prostate cancer were identified using a two-stage consensus-driven review process. In stage 1, two clinicians independently evaluated admissions records using a case review form, which we modified from a previous study to assess for PAHs. In stage 2, any admissions that the reviewers disagreed on or were unsure of were re-examined in a larger group of clinicians to yield a consensus determination regarding avoidability. Univariable and multivariable regression analyses were performed to identify factors predictive of PAH.

RESULTS:

There were 160 admissions among this cohort of 210 patients from January 2012 to June 2015, of which 99 were evaluable. Consensus-driven clinical review yielded an overall PAH rate of 28.3%. Factors associated with increased PAH risk were admission for symptoms related to cancer (odds ratio [OR], 7.33; P < .001), presence of a social contributor to admission (OR, 4.40; P = .014), and history of alcohol or drug abuse (OR, 4.93; P = .025). Admission for a noncancer condition was associated with decreased PAH risk (OR, 0.32; P = .011). On multivariable analysis, presence of a social contributor to admission (OR, 9.35; P = .002) and admission as a result of a noncancer condition (OR, 0.16; P = .038) remained predictive of PAH risk.

CONCLUSION:

A significant proportion of hospitalizations among patients with prostate cancer are potentially avoidable. Understanding factors predictive of risk for PAH can help inform programs aimed at avoiding such admissions to improve overall care quality and value.