Dataset Information

Characteristics Associated with Patient-Centered Medical Home Capability in Health Centers: A Cross-Sectional Analysis.

ABSTRACT:

Background

The patient-centered medical home (PCMH) model is being implemented in health centers (HCs) that provide comprehensive primary care to vulnerable populations.

Objective

To identify characteristics associated with HCs' PCMH capability.

Design

Cross-sectional analysis of a national dataset of Federally Qualified Health Centers (FQHCs) in 2009. Data for PCMH capability, HC, patient, neighborhood, and regional characteristics were combined from multiple sources.

Participants

A total of 706 (70 %) of 1014 FQHCs from the Health Resources and Services Administration Community Health Center Program, representing all 50 states and the District of Columbia.

Main measures

PCMH capability was scored via the Commonwealth Fund National Survey of FQHCs through the Safety Net Medical Home Scale (0 [worst] to 100 [best]). HC, patient, neighborhood, and regional characteristics (all analyzed at the HC level) were measured from the Commonwealth survey, Uniform Data System, American Community Survey, American Medical Association physician data, and National Academy for State Health Policy data.

Key results

Independent correlates of high PCMH capability included having an electronic health record (EHR) (11.7-point [95 % confidence interval, CI 10.2-13.3]), more types of financial performance incentives (0.7-point [95 % CI 0.2-1.1] higher total score per one additional type, maximum possible = 10), more types of hospital-HC affiliations (1.6-point [95 % CI 1.1-2.1] higher total score per one additional type, maximum possible = 6), and location in certain US census divisions. Among HCs with an EHR, location in a state with state-supported PCMH initiatives and PCMH payments was associated with high PCMH capability (2.8-point, 95 % CI 0.2-5.5). Other characteristics had small effect size based on the measure unit (e.g. 0.04-point [95 % CI 0-0.08] lower total score per one percentage point more minority patients), but the effects could be practically large at the extremes.

Conclusions

EHR adoption likely played a role in HCs' improvement in PCMH capability. Factors that appear to hold promise for supporting PCMH capability include a greater number of types of financial performance incentives, more types of hospital-HC affiliations, and state-level support and payment for PCMH activities.

SUBMITTER: Gao Y

PROVIDER: S-EPMC4978681 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Characteristics Associated with Patient-Centered Medical Home Capability in Health Centers: A Cross-Sectional Analysis.

Gao Yue Y Nocon Robert S RS Gunter Kathryn E KE Sharma Ravi R Ngo-Metzger Quyen Q Casalino Lawrence P LP Chin Marshall H MH

Journal of general internal medicine 20160523 9

<h4>Background</h4>The patient-centered medical home (PCMH) model is being implemented in health centers (HCs) that provide comprehensive primary care to vulnerable populations.<h4>Objective</h4>To identify characteristics associated with HCs' PCMH capability.<h4>Design</h4>Cross-sectional analysis of a national dataset of Federally Qualified Health Centers (FQHCs) in 2009. Data for PCMH capability, HC, patient, neighborhood, and regional characteristics were combined from multiple sources.<h4>P ...[more]

PMID: 27216480

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Project description:BackgroundThe literature on patient-centered medical homes (PCMHs) and patient experience is somewhat mixed. Government and private payers are promoting multi-payer PCMH initiatives to align requirements and resources and to enhance practice transformation outcomes. To this end, the multipayer Michigan Primary Care Transformation (MiPCT) demonstration project was carried out.ObjectiveTo examine whether the PCMH is associated with a better patient experience, and whether a mature, multi-payer PCMH demonstration is associated with even further improvement in the patient experience.DesignThis is a cross-sectional comparison of adults attributed to MiPCT PCMH, non-participating PCMH, and non-PCMH practices, statistically controlling for potential confounders, and conducted among both general and high-risk patient samples.ParticipantsResponses came from 3893 patients in the general population and 4605 in the high-risk population (response rates of 31.8% and 34.1%, respectively).Main measuresThe Clinician and Group Consumer Assessment of Healthcare Providers and Systems survey, with PCMH supplemental questions, was administered in January and February 2015.Key resultsMiPCT general and high-risk patients reported a significantly better experience than non-PCMH patients in most domains. Adjusted mean differences were as follows: access (0.35**, 0.36***), communication (0.19*, 0.18*), and coordination (0.33**, 0.35***), respectively (on a 10-point scale, with significance indicated by: *= p<0.05, **= p<0.01, and ***= p<0.001). Adjusted mean differences in overall provider ratings were not significant. Global odds ratios were significant for the domains of self-management support (1.38**, 1.41***) and comprehensiveness (1.67***, 1.61***). Non-participating PCMH ratings fell between MiPCT and non-PCMH across all domains and populations, sometimes attaining statistical significance.ConclusionsPCMH practices have more positive patient experiences across domains characteristic of advanced primary care. A mature multi-payer model has the strongest, most consistent association with a better patient experience, pointing to the need to provide consistent expectations, resources, and time for practice transformation. Our results held for a general population and a high-risk population which has much more contact with the healthcare system.

Project description:BackgroundPatient-centered medical home (PCMH) models of primary care have the potential to expand access, improve population health, and lower costs. Federally qualified health centers (FQHCs) were early adopters of PCMH models.ObjectiveWe measured PCMH capabilities in a diverse nationwide sample of FQHCs and assessed the relationship between PCMH capabilities and Medicare beneficiary outcomes.DesignCross-sectional, propensity score-weighted, multivariable regression analysis.ParticipantsA convenience sample of 804 FQHC sites that applied to a nationwide FQHC PCMH initiative and 231,163 Medicare fee-for-service beneficiaries who received a plurality of their primary care services from these sites.Main measuresPCMH capabilities were self-reported using the National Committee for Quality Assurance's (NCQA's) 2011 application for PCMH recognition. Measures of utilization, continuity of care, quality, and Medicare expenditures were derived from Medicare claims covering a 1-year period ending October 2011.Key resultsNearly 88% of sites were classified as having PCMH capabilities equivalent to NCQA Level 1, 2, or 3 PCMH recognition. These more advanced sites were associated with 228 additional FQHC visits per 1000 Medicare beneficiaries (95% CI: 176, 278), compared with less advanced sites; 0.02 points higher practice-level continuity of care (95% CI: 0.01, 0.03); and a greater likelihood of administering two of four recommended diabetes tests. However, more advanced sites were also associated with 181 additional visits to specialists per 1000 beneficiaries (95% CI: 124, 232) and 64 additional visits to emergency departments (95% CI: 35, 89)-but with no differences in inpatient utilization. More advanced sites had higher Part B expenditures ($111 per beneficiary [95% CI: $61, $158]) and total Medicare expenditures of $353 [95% CI: $65, $614]).ConclusionsImplementation of PCMH models in FQHCs may be associated with improved primary care for Medicare beneficiaries. Expanded access to care, in combination with slower development of key PCMH capabilities, may explain higher Medicare expenditures and other types of utilization.

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Project description:BackgroundThe Veterans Health Administration (VHA) has undertaken a 5-year initiative to transform to a patient-centered medical home model. An early focus of implementation was on creating open access, defined as continuity and capacity in primary care.ObjectiveWe describe the impact of readiness for implementation on efforts of pilot teams to make changes to improve access and identify successful strategies used by early adopters to overcome barriers to change.DesignA qualitative, formative evaluation of the first 18 months of implementation in one Veterans Integrated Service Network (VISN) spread across six states.ParticipantsMembers of local implementation teams including administrators, primary care providers, and staff from primary care clinics located at 10 medical centers and 45 outpatient clinics.ApproachWe conducted site visits during the first 6 months of implementation, observations at Learning Collaboratives, semi-structured interviews, and review of internal organizational documents. All data collection took place between April 2010 and December 2011.Key resultsEarly adopters employed various strategies to enhance access, with a focus on decreasing demand for face-to-face care, increasing supply of different types of primary care encounters, and improving clinic efficiencies. Our interviews with key contacts revealed three important areas where readiness for implementation (or lack thereof) had an impact on interventions to improve access: leadership engagement, staffing resources, and access to information and knowledge.ConclusionsKey factors related to readiness for implementation had an impact on which interventions pilot teams could put into place, as well as the viability and sustainability of access gains. Wide variations in interventions to improve access occurring across sites situated within one organization have important implications for efforts to measure the impact of enhanced access on patient outcomes, costs, and other systems-level indicators of the Medical Home.

Dataset Information

Characteristics Associated with Patient-Centered Medical Home Capability in Health Centers: A Cross-Sectional Analysis.

Background

Objective

Design

Participants

Main measures

Key results

Conclusions

Publications

Characteristics Associated with Patient-Centered Medical Home Capability in Health Centers: A Cross-Sectional Analysis.

Similar Datasets

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