The Health Resources and Services Administration supports federally qualified health centers that provide health care services to more than 21.7 million low-income and medically underserved patients, the majority being racial/ethnic minorities. Nationally, Native Hawaiians and Pacific Islanders (NHPIs) represent 1.3 percent of all health center patients; however, NHPIs constitute more than half of the patients for some health centers. National data of health center clinical quality indicators were analyzed to explore potential differences between Native Hawaiian, Pacific Islander, and Asian American patients. Even among a group of medically underserved patients, health disparities were found in NHPIs, illustrating the relevance of disaggregating data in identifying idiosyncratic differences deserving culturally appropriate interventions.

Some racial/ethnic minorities are more likely to have hypertension and experience increased hypertension-related morbidity and mortality compared to whites. Health Resources and Services Administration-funded health centers care for over 27 million patients, 62 percent of whom are racial/ethnic minorities. We assessed the presence of racial/ethnic disparities in (a) hypertension management and (b) hypertension outcomes among health center patients. We used data from the 2014 Health Center Patient Survey and performed multilevel logistic regression models to predict hypertension management counseling, patient adherence to counseling and medication regimen, management plan receipt, high blood pressure at last clinical visit, confidence in hypertension self-management, and hypertension-related emergency department (ED) episodes or hospitalizations in the past year. We controlled for patient characteristics including age, sex, education, nativity, health behaviors, health care access, and comorbidities. We found significantly higher odds of diet counseling (African Americans, OR: 1.87; Asian Americans, OR: 3.02, AIAN, OR: 2.01), reduced sodium intake (African American, OR: 2.42), and adherence to exercise counseling (African American, OR: 3.52; Asian Americans, OR: 2.93). We also found lower odds of taking hypertension control medication (AIAN, OR: 0.50) and higher odds of hypertension-related ED visits (African Americans, OR: 3.61, AIAN, OR: 5.31). These results highlight the success of health centers in managing hypertension by race/ethnicity but found adverse hypertension outcomes for some groups. Racial/ethnically tailored efforts might be required to manage hypertension and improve outcomes.

The rising prevalence of mental health conditions and substance use disorders (MH/SUD) underscores the important role of health centers (HCs) in caring for low-income and uninsured MH/SUD patients. This study used the 2014 Health Center Patient Survey and 2014 Uniform Data System to determine the independent association between delivery of MH/SUD integration and related interventions to patients that reported a MH/SUD condition (n=2714) with the number of HC visits, emergency department (ED) visits, and hospitalizations last year. Results showed that health education was associated with fewer predicted ED visits (1.8 vs. 2.3) and lower likelihood of hospitalizations (16% vs. 24%) among MH patients. Medical enabling services was associated with lower rates of ED visits (0.3 vs.1.9) and hospitalizations (< 1% vs. 13%) among SUD patients. The results indicate the utility of integration and related intervention services in primary care settings to improve service use and reduce ED and hospitalization among MH/SUD patients.

Purpose

Nearly one-fifth of Americans live in rural areas and experience multiple socioeconomic and health disparities. Health Resources and Services Administration (HRSA)-funded health centers (HCs) provide comprehensive primary care in rural communities. However, no prior research has examined trends in access to care in rural HC patients. We examined the change in access to care among patients served at rural HRSA-funded HCs in the United States between 2009 and 2014.

Methods

We compared patients by year to examine measures of access using multilevel generalized structural equation logistic regression models with random effects. We used the 2009 and 2014 cross-sectional Health Center Patient Surveys and identified 2,625 adult rural HC patients. Dependent variables were subjective (unmet need/delay in medical care, mental health, dental care, and prescription medications) and objective measures (preventive care and other health care utilization) in access to care. Our independent variable of interest was time, comparing access in 2009 and 2014.

Results

Rural HC patients reported higher predicted probability of influenza vaccine receipt (37% vs 51%), and lower unmet (25% vs 14%) and delayed medical care (36% vs 18%) between 2009 and 2014. Any emergency department visits in the last year increased (32% vs 46%) and mammogram (70% vs 55%) and Pap test (83% vs 72%) screening rates decreased.

Conclusions

Observed increases in access to care among rural HC patients are positive developments but the challenges to access care still persist. Remote services, such as telehealth, could be cost-effective means of improving access to care among rural patients with limited provider supply.

This study sought to examine racial/ethnic variations in receipt of provider recommendations on weight loss, patient adherence, perception of weight, attempts at weight loss and actual weight loss among patients with overweight/obesity status at Health Resources and Services Administration-funded health centres (HC). We used a 2014 nationally representative survey of adult HC patients with overweight/obesity status (PwOW/OB) last year and reported the HC was their usual source of care (n = 3517). We used logistic regression models to assess the interaction of race/ethnicity and having obesity in (1) provider recommendations of diet or (2) exercise, (3) patient adherence to diet or (4) exercise, (5) perceptions of weight and (6) weight loss attempts. We used a multinomial regression model to examine (7) weight loss or gain vs no change and a linear regression model to evaluate (8) percent weight change. We found Black PwOW/OB (OR = 1.65) experienced greater odds of receiving diet recommendations than Whites. We found limited racial/ethnic disparities in adherence. Black (OR = 0.41), Hispanic/Latino (OR = 0.45), and American Indian/Alaska Native (OR = 0.41) PwOW/OB had lower odds of perceiving themselves as overweight. Black (OR = 1.68) and Hispanic (OR = 1.98) PwOW/OB had a greater odds of reporting weight gain, and Asian PwOW/OB (OR = 0.42) had lower odds of reporting weight loss than Whites. Disparities in provider diet recommendations among Blacks and Hispanics indicated the importance of personalized weight management recommendations. Understanding underlying reasons for discordance between self-perception and observed weight among different groups is needed. Overall increase in weight, despite current interventions, should be addressed through targeted racially/ethnically appropriate approaches.

Background

In the United States, there are nearly 1,400 Health Resources and Services Administration-funded health centers (HCs) serving low-income and underserved populations and more than 600 of these HCs are located in rural areas. Disparities in quality of medical care in urban vs. rural areas exist but data on such differences between urban and rural HCs is limited in the literature. We examined whether urban and rural HCs differed in their performance on clinical quality measures before and after controlling for patient, organizational, and contextual characteristics.

Methods and findings

We used the 2017 Uniform Data System to examine performance on clinical quality measures between urban and rural HCs (n = 1,373). We used generalized linear regression models with the logit link function and binomial distribution, controlling for confounding factors. After adjusting for potential confounders, we found on par performance between urban and rural HCs in all but one clinical quality measure. Rural HCs had lower rates of linking patients newly diagnosed with HIV to care (74% [95% CI: 69%, 80%] vs. 83% [95% CI: 80%, 86%]). We identified control variables that systematically accounted for eliminating urban vs. rural differences in performance on clinical quality measures. We also found that both urban and rural HCs had some clinical quality performance measures that were lower than available national benchmarks. Main limitations included potential discrepancy of urban or rural designation across all HC sites within a HC organization.

Conclusions

Findings highlight HCs' contributions in addressing rural disparities in quality of care and identify opportunities for improvement. Performance in both rural and urban HCs may be improved by supporting programs that increase the availability of providers, training, and provision of technical resources.

Introduction

Community health centers provide care to underserved populations least likely to adhere to cancer screening guidelines, but vary in their ability to ensure eligible patients are identified and screened. This study examines organizational factors associated with cervical and colorectal cancer screening rates among health centers funded by the Health Resources and Services Administration (HRSA).

Methods

Data were drawn from the 2015 Uniform Data System and analyzed using negative binomial regression.

Results

On average, 53% of eligible health center patients were screened for cervical cancer and 37% for colorectal cancer. Organizational characteristics positively associated with cancer screening rates include provider-patient staffing ratios, electronic health record status, percentage revenue from public capitated managed care, and local primary care provider availability. Percentage of homeless patients was negatively associated with screening.

Conclusion

Efforts to improve cancer screening among underserved populations should address organizational factors that may contribute to disparities in screening uptake.

Background

Millions of Americans have uncontrolled hypertension and are low-income or uninsured populations. Health Resources and Services Administration-funded health centers (HCs) are primary providers of care to these patients and a majority have adopted the patient-centered medical home (PCMH). PCMH includes principles of care coordination or integration and care management-support important to the treatment of hypertension. We examined whether the receipt of PCMH concordant care by HC patients improved hypertension outcomes.

Methods

We used a nationally representative survey of adult HC patients with hypertension (n = 2,280) conducted between October 2014 and April 2015. We included data from the 2013 and 2014 Uniform Data System to include characteristics of the HCs where these patients received their care. Our outcome measures included flu shots, number of primary care visits, normal blood pressure at last visit, emergency department (ED) visits, confidence in self-care, and compliance with provider recommendations. The primary independent variables were (i) whether the HC coordinated and referred patients to specialists; (ii) provided counseling, health education, coaching, treatment plans, and advice on hypertension control; and (iii) helped patients to obtain government benefits, medical transportation, and basic needs such as housing and food. Logistic and negative binomial multivariate regression models were performed.

Results

Hypertension-focused coaching was associated with normal blood pressure at last visit (odds ratio (OR) = 1.47) and fewer ED visits (incidence rate ratio = 0.81). Behavioral health counseling was associated with increased self-efficacy in self-care management (OR = 3.20).

Conclusions

Our findings suggested that increased focus on these practices may lead to better hypertension outcomes among patients who are low-income and uninsured populations.

Objectives

Health Resources and Services Administration-funded health centres (HCs) are an important source of dental services for low-income and vulnerable patients in the United States. About 82% of HCs in 2018 had dental workforce, but it is unclear whether this workforce meets the oral health needs of HC patients. Thus, we first examined (a) whether dental workforce was associated with any dental visits vs none and (b) whether HC patients with any visits were more likely to have a visit at the HC vs elsewhere. We then examined (c) if need for oral health care and long-term continuity at the HC were associated with dental visits and visits at the HC.

Methods

This study used the 2014 Health Center Patient Survey, a nationally representative study of US HC patients, and the 2013 Uniform Data System, an administrative dataset of HC characteristics. We also used the 2013 Area Health Resource File to measure the contribution of local supply of dentists. We included working-age adult patients (n = 5006) and used multilevel structural equation models with Poisson specification.

Results

Larger dental workforce at the HC was significantly associated with 1% higher likelihood (relative risk [RR]: 1.01, 1.00-1.02) of any visits and 10% higher likelihood of a visit at the HC among those with a visit (RR: 1.10, 1.06-1.14). Patient self-reported oral health need was positively associated with 157% higher likelihood of dental visits (RR: 2.57, 2.29-2.88), and 42% higher likelihood of dental visit at the HC vs elsewhere (RR: 1.42, 1.19-1.69). Long-term continuity with the HC was not significantly associated with likelihood of dental visits, but was associated with 26% higher likelihood of visits at the HC among those who had any visits (RR: 1.26, 1.02-1.56).

Discussion

The findings highlight the potential impact of increasing dental workforce at HCs to promote access; the high level of need for oral health care at HCs; and the increased effort required to promote access among newer patients who may be less familiar with the availability of oral health care at HCs. Together, these findings reinforce the importance of addressing barriers of use of oral health services among low-income and uninsured patients.