ORCID ID

0000-0002-9632-9286

Publication Date

2021-11-06

Document Type

Doctoral Dissertation

Academic Program

Clinical and Population Health Research

Department

Clinical and Population Health Research, Graduate School of Biomedical Sciences

First Thesis Advisor

Arlene Ash

Keywords

quality measure, community tenure, risk adjustment, zero-inflated regression models, doubly augmented beta model, deviance, Vuong test, r-square, O/E ratio, predictive probability, bipolar disorder, second-generation antipsychotics, medication possession ratio, risk factors, social determinants of health

Abstract

Background:

Shifting the healthcare payment system from a volume-based to a value-based model has been a significant effort to improve the quality of care and reduce healthcare costs in the US. In 2018, Massachusetts Medicaid launched Accountable Care Organizations (ACOs) as part of the effort. Constructing, assessing, and risk-adjusting quality measures are integral parts of the reform process.

Methods:

Using data from the MassHealth Data Warehouse (2016-2019), we assessed the loss of community tenure (CTloss) as a potential quality measure for patients with bipolar, schizophrenia, or other psychotic disorders (BSP). We evaluated various statistical models for predicting CTloss using deviance, Akaike information criterion, Vuong test, squared correlation and observed vs. expected (O/E) ratios. We also used logistic regression to investigate risk factors that impacted medication nonadherence, another quality measure for patients with bipolar disorders (BD).

Results:

Mean CTloss was 12.1 (±31.0 SD) days in the study population; it varied greatly across ACOs. For risk adjustment modeling, we recommended the zero-inflated Poisson or doubly augmented beta model. The O/E ratio ranged from 0.4 to 1.2, suggesting variation in quality, after adjusting for differences in patient characteristics for which ACOs served as reflected in E. Almost half (47.7%) of BD patients were nonadherent to second-generation antipsychotics. Patient demographics, medical and mental comorbidities, receiving institutional services like those from the Department of Mental Health, homelessness, and neighborhood socioeconomic stress impacted medication nonadherence.

Conclusions:

Valid quality measures are essential to value-based payment. Heterogeneity implies the need for risk adjustment. The search for a model type is driven by the non-standard distribution of CTloss.

DOI

10.13028/8w3v-vd74

Rights and Permissions

Copyright is held by the author, with all rights reserved.

Available for download on Saturday, December 30, 2023

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