Publications

OBJECTIVE

To describe the prevalence, characteristics, and predictors of safety-net use for primary care among non-Medicaid insured adults (i.e., those with private insurance or Medicare).

METHODS

Cross-sectional analysis using the 2006-2010 National Ambulatory Medical Care Surveys, annual probability samples of outpatient visits in the U.S. We estimated national prevalence of safety-net visits using weighted percentages to account for the complex survey design. We conducted bivariate and multivariate logistic regression analyses to examine characteristics associated with safety-net clinic use.

RESULTS

More than one-third (35.0%) of all primary care safety-net clinic visits were among adults with non-Medicaid primary insurance, representing 6,642,000 annual visits nationally. The strongest predictors of safety-net use among non-Medicaid insured adults were: being from a high-poverty neighborhood (AOR 9.53, 95% CI 4.65-19.53), being dually eligible for Medicare and Medicaid (AOR 2.13, 95% CI 1.38-3.30), and being black (AOR 1.97, 95% CI 1.06-3.66) or Hispanic (AOR 2.28, 95% CI 1.32-3.93). Compared to non-safety-net users, non-Medicaid insured adults who used safety-net clinics had a higher prevalence of diabetes (23.5% vs. 15.0%, p<0.001), hypertension (49.4% vs. 36.0%, p<0.001), multimorbidity (≥2 chronic conditions; 53.5% vs. 40.9%, p<0.001) and polypharmacy (≥4 medications; 48.8% vs. 34.0%, p<0.001). Nearly one-third (28.9%) of Medicare beneficiaries in the safety-net were dual eligibles, compared to only 6.8% of Medicare beneficiaries in non-safety-net clinics (p<0.001).

CONCLUSIONS

Safety net clinics are important primary care delivery sites for non-Medicaid insured minority and low-income populations with a high burden of chronic illness. The critical role of safety-net clinics in care delivery is likely to persist despite expanded insurance coverage under the Affordable Care Act.

BACKGROUND

For the last 20 years, health provider organizations have made efforts to align mission, values, and everyday practices to ensure high-quality, high-value, and ethical care. However, little attention has been paid to the organizational values and practices of community-based programs that organize and facilitate access to care for uninsured populations. This study aimed to identify and describe organizational values relevant to resource allocation and policy decisions that affect the services offered to members, using the case of community access programs: county-based programs that provide access to care for the uninsured working poor.

METHODS

Comparative and qualitative case study methodology was used, including document review, observations, and key informant interviews, at two geographically diverse programs.

RESULTS

Nine values were identified as relevant to decision making: stewardship, quality care, access to care, service to others, community well-being, member independence, organizational excellence, decency, and fairness. The way these values were deployed in resource allocation decisions that affected services offered to the uninsured are illustrated in one example per site.

CONCLUSIONS

This study addresses the previous dearth in the literature regarding an empirical description of organizational values employed in decision making of community organizations. To assess the transferability of the values identified, we compared our empirical results to prior empirical and conceptual work in the United States and internationally and found substantial alignment. Future studies can examine whether the identified organizational values are reflective of those at other health care organizations.

BACKGROUND

Throughout the Ebola virus disease (EVD) epidemic in West Africa, field laboratory testing for EVD has relied on complex, multi-step real-time reverse transcription PCR (RT-PCR) assays; an accurate sample-to-answer RT-PCR test would reduce time to results and potentially increase access to testing. We evaluated the performance of the Cepheid GeneXpert Ebola assay on clinical venipuncture whole blood (WB) and buccal swab (BS) specimens submitted to a field biocontainment laboratory in Sierra Leone for routine EVD testing by RT-PCR ("Trombley assay").

METHODS AND FINDINGS

This study was conducted in the Public Health England EVD diagnostic laboratory in Port Loko, Sierra Leone, using residual diagnostic specimens remaining after clinical testing. EDTA-WB specimens (n = 218) were collected from suspected or confirmed EVD patients between April 1 and July 20, 2015. BS specimens (n = 71) were collected as part of a national postmortem screening program between March 7 and July 20, 2015. EDTA-WB and BS specimens were tested with Xpert (targets: glycoprotein [GP] and nucleoprotein [NP] genes) and Trombley (target: NP gene) assays in parallel. All WB specimens were fresh; 84/218 were tested in duplicate on Xpert to compare WB sampling methods (pipette versus swab); 43/71 BS specimens had been previously frozen. In all, 7/218 (3.2%) WB and 7/71 (9.9%) BS samples had Xpert results that were reported as "invalid" or "error" and were excluded, leaving 211 WB and 64 BS samples with valid Trombley and Xpert results. For WB, 22/22 Trombley-positive samples were Xpert-positive (sensitivity 100%, 95% CI 84.6%-100%), and 181/189 Trombley-negative samples were Xpert-negative (specificity 95.8%, 95% confidence interval (CI) 91.8%-98.2%). Seven of the eight Trombley-negative, Xpert-positive (Xpert cycle threshold [Ct] range 37.7-43.4) WB samples were confirmed to be follow-up submissions from previously Trombley-positive EVD patients, suggesting a revised Xpert specificity of 99.5% (95% CI 97.0%-100%). For Xpert-positive WB samples (n = 22), Xpert NP Ct values were consistently lower than GP Ct values (mean difference -4.06, 95% limits of agreement -6.09, -2.03); Trombley (NP) Ct values closely matched Xpert NP Ct values (mean difference -0.04, 95% limits of agreement -2.93, 2.84). Xpert results (positive/negative) for WB sampled by pipette versus swab were concordant for 78/79 (98.7%) WB samples, with comparable Ct values for positive results. For BS specimens, 20/20 Trombley-positive samples were Xpert-positive (sensitivity 100%, 95% CI 83.2%-100%), and 44/44 Trombley-negative samples were Xpert-negative (specificity 100%, 95% CI 92.0%-100%). This study was limited to testing residual diagnostic samples, some of which had been frozen before use; it was not possible to test the performance of the Xpert Ebola assay at point of care.

CONCLUSIONS

The Xpert Ebola assay had excellent performance compared to an established RT-PCR benchmark on WB and BS samples in a field laboratory setting. Future studies should evaluate feasibility and performance outside of a biocontainment laboratory setting to facilitate expanded access to testing.