The Characteristics of Individuals Who Access Health Care at a Full vs. Partial Patient-Centered Medical Home: A Patient Perspective
Type of Presentation
Event
Location
D1497
Start Date
4-1-2016 10:55 AM
End Date
4-1-2016 11:30 AM
Abstract
The patient-centered medical home (PCMH) model has been promoted and supported by the Affordable Care Act. It is expected to improve health care quality, enhance patient experience, and reduce costs. The purpose of this study was to examine the characteristics of individuals who access health care at a full versus partial PCMH from patients’ perspective.
This study used pooled cross sectional data from the Medical Expenditure Panel Survey (MEPS) from 2008 to 2013. Our sample consisted of all American adults>18 years old who have a usual source of care (n = 103,676; weighted n=174,630,895). We constructed a dichotomous dependent variable coded “1” if the individual has access to a full PCMH and coded as “0” if the individual has access to a partial PCMH. Our independent variables consisted of individual’s characteristics that may affect access to PCMH. We used weighted logistic regression, based on the weight provided by MEPS. We found that compared with individuals aged between 18 and 24, individuals aged between 25 and 44 (OR=0.85, p
Presentation File
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The Characteristics of Individuals Who Access Health Care at a Full vs. Partial Patient-Centered Medical Home: A Patient Perspective
D1497
The patient-centered medical home (PCMH) model has been promoted and supported by the Affordable Care Act. It is expected to improve health care quality, enhance patient experience, and reduce costs. The purpose of this study was to examine the characteristics of individuals who access health care at a full versus partial PCMH from patients’ perspective.
This study used pooled cross sectional data from the Medical Expenditure Panel Survey (MEPS) from 2008 to 2013. Our sample consisted of all American adults>18 years old who have a usual source of care (n = 103,676; weighted n=174,630,895). We constructed a dichotomous dependent variable coded “1” if the individual has access to a full PCMH and coded as “0” if the individual has access to a partial PCMH. Our independent variables consisted of individual’s characteristics that may affect access to PCMH. We used weighted logistic regression, based on the weight provided by MEPS. We found that compared with individuals aged between 18 and 24, individuals aged between 25 and 44 (OR=0.85, p
Other Presentation Disciplines:
Dr. Zo Ramamonjiarivelo is an Assistant Professor of Health Administration and Dr. DeLawnia Comer-HaGans is an Assistant Professor of Health Administration in the College of Health and Human Services. Dr. Shamly Austin is a Health Services Researcher with Gateway HealthSM of Pittsburgh, Pennsylvania.