The Impact of Rhode Island’s Multipayer Patient-centered Medical Home Program on Utilization and Cost of Care
Bibliographic Data
| ID | 9104013 |
|---|---|
| Authors | Megan B Cole (0000-0001-8731-4210, Department of Health Law, Policy, and Management Boston University School of Public Health, Boston, MA, corresponding author), Omar Galárraga (0000-0002-9985-9266, Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI), Ira B Wilson (0000-0002-0246-738X, Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI) |
| Year | 2019 |
| Volume | 57 |
| Issue | 10 |
| Pages | 801-808 |
| Publication date | 2019-10-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0000000000001194 |
| PMID | 31464841 |
| OpenAlex | W2971311087 |
| Language | EN |
| Citations received | 1 |
| References cited | 24 |
OBJECTIVE: To estimate the effect of patient-centered medical home (PCMH) participation on cost and utilization of care for patients in Rhode Island's statewide, multipayer PCMH program, which serves over one-third of the state population. DATA SOURCES/STUDY SETTING: 2009-2014 claims data from all payers in Rhode Island, representing >743,000 unique patients. STUDY DESIGN: A propensity score-matched difference-in-differences framework was used to separately estimate the effect of the PCMH on 3 patient cohorts, which were defined by their intervention start dates and amounts of implementation time. Outcomes included patient costs (total, inpatient, outpatient, professional, pharmacy) and utilization [emergency department (ED) visits, preventable ED visits, inpatient admissions, preventable inpatient admissions, all-cause 30-day readmissions]. Interaction effects were estimated to assess heterogeneity among clinical risk groups and payers. PRINCIPAL FINDINGS: There was no evidence of a PCMH effect on total costs, though we observed evidence of an increase in the odds of PCMH patients having outpatient and professional costs, and in one cohort, a decrease in inpatient costs for those with an inpatient visit. We also observed evidence of reduced ED visits, preventable ED visits, and inpatient admissions for PCMH patients. While subgroup effects varied by cohort and measure, high-risk patients often experienced the largest reductions in ED visits. CONCLUSIONS: All PCMH cohorts experienced statistically significant reductions in some types of utilization in as little as 1.25 years. Reductions were greatest for measures included in the PCMH contractual agreement. While PCMH programs may not expect cost savings in the short-term, costs could potentially be reduced in the longer-term through avoided ED and inpatient expenses
Ambulatory care · Cohort · Emergency department · Environmental health · Family medicine · Health care · Inpatient care · Logistic regression · Medical home · Odds · Population · Primary care · Propensity score matching · Chronic Disease Management Strategies · Emergency Medicine · Healthcare Policy and Management · Medicine · Nursing · Pharmacy · Primary Care and Health Outcomes
Predictive Margins with Survey Data
Stata Tip 87
Longitudinal Data Analysis for Discrete and Continuous Outcomes
Too much ado about two-part models and transformation?
Longitudinal data analysis using generalized linear models
Some Practical Guidance for the Implementation of Propensity Score Matching
The central role of the propensity score in observational studies for causal effects
A new method of classifying prognostic comorbidity in longitudinal studies
Interaction Terms in Nonlinear Models
An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies
Impact of the Rochester Medical Home Initiative on Primary Care Practices, Quality, Utilization, and Costs
Recent Developments in the Econometrics of Program Evaluation
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.25 |
| Citation span | 2022 - 2022 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |