Key result
Observed differences in in-hospital complication rates across payer types (HMO, PPO, and fee-for-service) were largely driven by unobserved differences in patient health.
Why the study?
Does primary-payer type affect the likelihood of experiencing in-hospital complications among major surgery patients?
Observational
Yes
Does primary-payer type affect the likelihood of experiencing in-hospital complications among major surgery patients?
Differences in surgical complication rates across payer types are primarily due to unobserved patient health differences rather than the payer type itself, highlighting the limitations of using discharge records for quality assessment.
Answers are grounded in this paper and cite their sources.
Discharge records should not guide payer-specific quality assessments in surgery; leaves open whether fuller risk adjustment isolates payer effects in observational cohorts.
OBJECTIVE: To explain observed differences in patient outcomes across payer types using hospital discharge records. Specifically, we address two mechanisms: hospital-payer matching versus unobserved patient heterogeneity. DATA SOURCE: Florida's hospital discharge records (1996-2000) of major surgery patients with private health insurance between the ages of 18 and 65, Health Maintenance Organization (HMO) market penetration data, hospital systems data, and the Area Resource File. STUDY DESIGN: The dependent variable is occurrence of one or more in-hospital complications as identified by the Complication Screening Program. The key independent variable is patients' primary-payer type (HMO, Preferred Provider Organization, and fee-for-service). We estimate five different logistic regression models, each representing a different assumption about the underlying factors that confound the causal relationship between the payer type and the likelihood of experiencing complications. PRINCIPAL FINDING: We find that the observed differences in complication rates across payer types are largely driven by unobserved differences in patient health, even after adjusting for case mix using available data elements in the discharge records. CONCLUSION: Because of the limitations inherent to hospital discharge records, making quality comparisons in terms of patient outcomes is challenging. As such, any efforts to assess quality in such a manner must be carried out cautiously.
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Maeng et al. (2011) conducted an observational in major surgery. Primary-payer type (HMO, Preferred Provider Organization, and fee-for-service) was evaluated on occurrence of one or more in-hospital complications. Observed differences in in-hospital complication rates across payer types (HMO, PPO, and fee-for-service) were largely driven by unobserved differences in patient health.
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