OBJECTIVES: Evaluate the effects of the patient-centered medical home (PCMH) model on medical costs and utilization in the nonpediatric population, particularly among high-risk patients. STUDY DESIGN: Longitudinal case-control design, comparing per member per month (PMPM) cost and utilization per 1000 patients for members enrolled in PCMH and non-PCMH practices from 2009 to 2011. METHODS: Commercial health maintenance organization members in nonpediatric practices that adopted the PCMH model in 2009 were matched to patients in nonpediatric practices that did not adopt the model until 2011 or later. Propensity score matching was used to identify a pool of similar controls, and difference-in-differences regression analysis was used to compare PCMH and non-PCMH patients relative to baseline. Analysis was conducted using the complete pool of matched patients (N = 6940 cases and 6940 controls), then using the 10% of patients with the highest DxCG risk scores (N = 654 cases and 734 controls). RESULTS: There were no significant cost or utilization differences for the overall population. Total cost decreased significantly more for the PCMH group than for controls in the high-risk group in years 1 and 2 (reductions of $107 and $75 PMPM), driven by lower inpatient costs. The PCMH group experienced a significantly greater reduction in inpatient admissions in all 3 years (61, 48, and 94 hospitalizations per 1000). CONCLUSIONS: PCMH practices had significantly reduced costs and utilization for the highest risk patients, particularly with respect to inpatient care. As high-risk members represent a high-cost group, the most benefit can be gained by targeting these members.
OBJECTIVES: Evaluate the effects of the patient-centered medical home (PCMH) model on medical costs and utilization in the nonpediatric population, particularly among high-risk patients. STUDY DESIGN: Longitudinal case-control design, comparing per member per month (PMPM) cost and utilization per 1000 patients for members enrolled in PCMH and non-PCMH practices from 2009 to 2011. METHODS: Commercial health maintenance organization members in nonpediatric practices that adopted the PCMH model in 2009 were matched to patients in nonpediatric practices that did not adopt the model until 2011 or later. Propensity score matching was used to identify a pool of similar controls, and difference-in-differences regression analysis was used to compare PCMH and non-PCMHpatients relative to baseline. Analysis was conducted using the complete pool of matched patients (N = 6940 cases and 6940 controls), then using the 10% of patients with the highest DxCG risk scores (N = 654 cases and 734 controls). RESULTS: There were no significant cost or utilization differences for the overall population. Total cost decreased significantly more for the PCMH group than for controls in the high-risk group in years 1 and 2 (reductions of $107 and $75 PMPM), driven by lower inpatient costs. The PCMH group experienced a significantly greater reduction in inpatient admissions in all 3 years (61, 48, and 94 hospitalizations per 1000). CONCLUSIONS:PCMH practices had significantly reduced costs and utilization for the highest risk patients, particularly with respect to inpatient care. As high-risk members represent a high-cost group, the most benefit can be gained by targeting these members.
Authors: Karin V Rhodes; Simon Basseyn; Robert Gallop; Elizabeth Noll; Aileen Rothbard; Paul Crits-Christoph Journal: J Gen Intern Med Date: 2017-06-25 Impact factor: 5.128
Authors: Lauren Cheung; Tiffany I Leung; Victoria Y Ding; Jonathan X Wang; Justin Norden; Manisha Desai; Robert A Harrington; Sumbul Desai Journal: Telemed J E Health Date: 2018-09-07 Impact factor: 3.536
Authors: Issidoros Sarinopoulos; Diane L Bechel-Marriott; Jean M Malouin; Shaohui Zhai; Jason C Forney; Clare L Tanner Journal: J Gen Intern Med Date: 2017-08-14 Impact factor: 5.128
Authors: Paul Crits-Christoph; Robert Gallop; Elizabeth Noll; Aileen Rothbard; Caroline K Diehl; Mary Beth Connolly Gibbons; Robert Gross; Karin V Rhodes Journal: Am J Manag Care Date: 2018-08 Impact factor: 2.229
Authors: Wei Duan-Porter; Susan Nicole Hastings; Brian Neelon; Courtney Harold Van Houtven Journal: J Gen Intern Med Date: 2015-03-20 Impact factor: 5.128