Patient-Centered Medical Home Measurement in School-Based Health Centers

2017 ◽  
Vol 35 (3) ◽  
pp. 189-202
Author(s):  
Abbey Gregg ◽  
Li-Wu Chen ◽  
Jungyoon Kim ◽  
Hyo Jung Tak ◽  
Melissa Tibbits

School-based health centers (SBHCs) have been suggested as potential medical homes, yet minimal attention has been paid to measuring their patient-centered medical home (PCMH) implementation. The purposes of this article were to (1) develop an index to measure PCMH attributes in SBHCs, (2) use the SBHC PCMH Index to compare PCMH capacity between PCMH certified and non-PCMH SBHCs, and (3) examine differences in index scores between SBHCs based in schools with and without adolescents. A total of six PCMH dimensions in the SBHC PCMH Index were identified through factor analysis. These dimensions were collapsed into two domains: care quality and comprehensive care. SBHCs recognized as PCMHs had higher scores on the index, both domains, and four dimensions. SBHCs based in schools with just young children and those with adolescents scored similarly on the overall index, but analysis of individual index items shows their strengths and weaknesses in PCMH implementation.

PEDIATRICS ◽  
2014 ◽  
Vol 134 (5) ◽  
pp. 957-964 ◽  
Author(s):  
S. T. O'Leary ◽  
M. Lee ◽  
S. Federico ◽  
J. Barnard ◽  
S. Lockhart ◽  
...  

2020 ◽  
Author(s):  
Nathaniel Bell ◽  
Rebecca Wilkerson ◽  
Kathy Mayfield-Smith ◽  
Ana Lòpez-De Fede

Abstract Background: Patient-Centered Medical Home (PCMH) adoption is as an important strategy to help improve primary care quality within Health Resources and Service Administration (HRSA) Community Health Centers (CHC), but evidence of its effect thus far remains mixed. A limitation of previous evaluations has been the inability to account for the proportion of CHC delivery sites that are designated medical homes.Methods: Retrospective cross-sectional study using HRSA Uniform Data System (UDS) and certification files from the National Committee for Quality Assurance (NCQA) and the Joint Commission (JC). Datasets were linked through geocoding and an approximate string matching algorithm. Predicted probability scores were regressed onto 11 clinical performance measures using 10% increments in site-level designation.using 10% increments in site designation and regressed onto 11 clinical performance measures using beta logistic regression.Results: The geocoding and approximate string matching algorithm identified 2,615 of the 6,851 (41.8%) delivery sites included in the analyses as having been designated through the NCQA and/or JC. In total, 74.7% (n=777) of the 1,039 CHCs that met the inclusion criteria for the analysis managed at least 1 NCQA and/or JC designated site. A proportional increase in site-level designation showed a positive association with adherence scores for the majority of all indicators, but primarily among CHC’s that designated at least 50% of its delivery sites. Once this threshold was achieved, there was a stepwise percentage point increase in adherence scores, ranging from 1.9% to 11.8% improvement, depending on the measureConclusion: Geocoding and approximate string matching techniques offer a more nuanced approach for addressing ongoing limitations in HRSA’s PCMH evaluations. The study methodology proposes new questions to as to whether there is a threshold effect when measuring the association between designation and care quality. The model also offers preliminary evidence of a step-wise increase in quality metrics once half of a CHCs delivery sites become designated medical homes.


2018 ◽  
Vol 32 (4) ◽  
pp. 418-425 ◽  
Author(s):  
Nadereh Pourat ◽  
Xiao Chen ◽  
Christopher Lee ◽  
Weihao Zhou ◽  
Marlon Daniel ◽  
...  

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