Weight management practices of health center providers in the United States.

BACKGROUND: We examined weight management counseling practices of Health Resources and Services Administration-funded health center (HC) providers for patients with overweight (POW) and obesity (POB) status, focusing on weight-related conditions, risk factors, and health care utilization. METHOD: We used a nationally representative cross-sectional survey of HC patients and multilevel generalized structural equation logistic regression models to assess the association of provider counseling practices for POW and POB and by three obesity classes. Dependent variables included being told by the HC provider that weight was a problem, receiving a diet or exercise recommendation, referral to a nutritionist, or receiving weight loss prescriptions. Independent variables included weight-related conditions such as diabetes and hypertension, risk factors such as smoking, and health service utilization such as five or more primary care visits. RESULTS: All POB classes had higher odds of receiving all five counseling interventions than POW. Patients with diabetes and high cholesterol had higher odds of diet recommendations (OR = 1.8) and nutritionist referrals (OR = 2.3), while patients with cardiovascular disease had higher odds of nutritionist referral (OR = 2.0) and receiving weight loss prescriptions (OR = 2.6). Respondents with POB class III and diabetes had higher odds of receiving exercise recommendations (OR = 3.4), while POB class 1 and had hypertension had lower odds of nutritionist referral (OR = 0.3). CONCLUSIONS: Variations in HC primary care providers' weight management counseling practices between POW and POB present missed opportunities for consistent practice and early intervention. Assessing providers' counseling practices for patients with comorbid conditions is essential to the successful management of the obesity crisis.

Disparities in smoking prevalence and associations with mental health and substance use disorders in underserved communities across the United States.

BACKGROUND: Smoking contributes to the top 3 deadliest cancers, cancers of the lung, colon, and pancreas, which account for nearly 40% of all cancer-related deaths in the United States. Despite historicly low smoking rates, substantial disparities remain among people with mental health conditions and substance use disorders (SUDs). METHODS: The study examined the prevalence of smoking among adults from underserved communities who are served at federally qualified health centers through an analysis of the 2014 Health Center Patient Survey. Furthermore, the study assessed associations of smoking with co-occurring mental health conditions and SUDs among adult smokers (n = 1735). RESULTS: The prevalence of smoking among health center patients was 28.1%. Among current smokers, 59.1% had depression and 45.4% had generalized anxiety. Non-Hispanic Black smokers had more than 2 times the odds of reporting SUDs (adjusted odds ratio [aOR], 2.13; 95% confidence interval [CI], 1.06-4.30). Individuals at or below 100% of the federal poverty level had more than 2 times the odds of having mental health conditions (aOR, 2.55; 95% CI, 1.58-4.11), and those who were unemployed had more than 3 times the odds for SUDs (aOR, 3.21; 95% CI, 1.27-8.10). CONCLUSIONS: The prevalence of smoking in underserved communities is nearly double the national prevalence. In addition, the study underscores important socioeconomic determinants of health in smoking cessation behavior and the marked disparities among individuals with mental health conditions and SUDs. Finally, the findings illuminate the unique need for tailored treatments supporting cancer prevention care to address challenges confronted by vulnerable populations.

Trends in access to care among rural patients served at HRSA-funded health centers.

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.

Exploring the association of social determinants of health and clinical quality measures and performance in HRSA-funded health centres.

OBJECTIVE: This paper explores the impact of service area-level social deprivation on health centre clinical quality measures. DESIGN: Cross-sectional data analysis of Health Resources and Services Administration (HRSA)-funded health centres. We created a weighted service area social deprivation score for HRSA-funded health centres as a proxy measure for social determinants of health, and then explored adjusted and unadjusted clinical quality measures by weighted service area Social Deprivation Index quartiles for health centres. SETTINGS: HRSA-funded health centres in the USA. PARTICIPANTS: Our analysis included a subset of 1161 HRSA-funded health centres serving more than 22 million mostly low-income patients across the country. RESULTS: Higher levels of social deprivation are associated with statistically significant poorer outcomes for all clinical quality outcome measures (both unadjusted and adjusted), including rates of blood pressure control, uncontrolled diabetes and low birth weight. The adjusted and unadjusted results are mixed for clinical quality process measures as higher levels of social deprivation are associated with better quality for some measures including cervical cancer screening and child immunisation status but worse quality for other such as colorectal cancer screening and early entry into prenatal care. CONCLUSIONS: This research highlights the importance of incorporating community characteristics when evaluating clinical outcomes. We also present an innovative method for capturing health centre service area-level social deprivation and exploring its relationship to health centre clinical quality measures.

Impact of health information technology optimization on clinical quality performance in health centers: A national cross-sectional study.

BACKGROUND: Delivery of preventive care and chronic disease management are key components of a high functioning primary care practice. Health Centers (HCs) funded by the Health Resources and Services Administration (HRSA) have been delivering affordable and accessible primary health care to patients in underserved communities for over fifty years. This study examines the association between health center organization's health information technology (IT) optimization and clinical quality performance. METHODS AND FINDINGS: Using 2016 Uniform Data System (UDS) data, we performed bivariate and multivariate analyses to study the association of Meaningful Use (MU) attestation as a proxy for health IT optimization, patient centered medical home (PCMH) recognition status, and practice size on performance of twelve electronically specified clinical quality measures (eCQMs). Bivariate analysis demonstrated performance of eleven out of the twelve preventive and chronic care eCQMs was higher among HCs attesting to MU Stage 2 or above. Multivariate analysis demonstrated that Stage 2 MU or above, PCMH status, and larger practice size were positively associated with performance on cancer screening, smoking cessation counseling and pediatric weight assessment and counseling eCQMs. CONCLUSIONS: Organizational advancement in MU stages has led to improved quality of care that augments HCs patient care capacity for disease prevention, health promotion, and chronic care management. However, rapid technological advancement in health care acts as a potential source of disparity, as considerable resources needed to optimize the electronic health record (EHR) and to undertake PCMH transformation are found more commonly among larger HCs practices. Smaller practices may lack the financial, human and educational assets to implement and to maintain EHR technology. Accordingly, targeted approaches to support small HCs practices in leveraging economies of scale for health IT optimization, clinical decision support, and clinical workflow enhancements are critical for practices to thrive in the dynamic value-based payment environment.

Mental health status among women of reproductive age from underserved communities in the United States and the associations between depression and physical health. A cross-sectional study.

BACKGROUND: In 2017, 46.6 million U.S. adults aged 18 or older self-reported as having mental illness of which 52.0% or 24.2 million are women age 18-49. Perinatal depression and anxiety are linked to adverse outcomes concerning pregnancy, maternal functioning, and healthy child development. METHODS AND FINDINGS: Using the 2014 Health Center Patient Survey (HCPS), the objectives of the cross-sectional study are to assess the prevalence of self-reported mental health conditions among female patients of reproductive age and to examine the association between depression and physical health. Physical health conditions of interest included self-rated health, obesity, hypertension, smoking, and diabetes, which all have established associations with potential pregnancy complications and fetal health. The study found 40.8% of patients reported depression; 28.8% reported generalized anxiety; and 15.2% met the criteria for serious psychological distress on the Kessler 6 scale. Furthermore, patients with depression had two to three times higher odds of experiencing co-occurring physical health conditions. CONCLUSIONS: This study expands the discourse on maternal mental health, throughout the preconception, post-partum, and inter-conception care periods to improve understanding of the inter-correlated physical and mental health issues that could impact pregnancy outcomes and life course trajectory. From 2014 to 2018, the Health Resources and Services Administration (HRSA) has supported investments of nearly $750 million to improve and expand access to mental health and substance use disorder services for prevention, treatment, health education and awareness through comprehensive primary care integration. Moving forward, HRSA will implement strategic training and technical assistance (T/TA) framework that is designed to accelerate the adoption of science driven solutions in primary care in addressing depression for patients with co-occurring chronic conditions and advancing positive maternal outcomes.

Preventive Care and Chronic Disease Management Comparison of Appalachian and Non-Appalachian Community Health Centers in the United States.

Introduction: The Appalachian region is often characterized by poor health outcomes and economic depression. Health centers (HCs) are community-based and patient-directed organizations that deliver comprehensive, culturally competent, high-quality primary healthcare services in high need areas, including Appalachia, where economic, geographic, or cultural factors can hinder access to healthcare services. Purpose: The study compares the clinical quality performance in preventive care and chronic disease management between Appalachian HCs and their non-Appalachian counterparts. Methods: Using 2015 Uniform Data System (UDS) health center data, bivariate and multivariate linear regression analyses examine the association of Appalachian HC with performance on preventive and chronic care clinical quality measures (CQMs). Results: In the multivariate analysis, patients served at Appalachian HCs are more likely to receive colorectal cancer screening and pediatric weight assessment and counseling than at non-Appalachian HCs. No statistically significant differences in performance observed among other CQMs. The percentage of Medicaid patients and total physician FTEs have positive associations with preventive care in colorectal and cervical cancer screening, pediatric weight assessment and counseling, and tobacco screening and cessation intervention as well as chronic disease management of aspirin therapy for ischemic vascular disease and hypertension control in the multivariate model. Implications: Overall Appalachian HCs perform as well as or better than non-Appalachian HCs in delivering preventive and chronic care services. Further examination of clinical quality improvement programs, insurance payer mix, and practice size among Appalachian HCs could advance the replication of clinical quality success for clinics in similar underserved communities.

Organizational Factors Associated with Disparities in Cervical and Colorectal Cancer Screening Rates in Community Health Centers.

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.

Colorectal cancer screening at US community health centers: Examination of sociodemographic disparities and association with patient-provider communication.

BACKGROUND: Colorectal cancer (CRC) screening rates are low among underserved populations. High-quality patient-physician communication potentially influences patients' willingness to undergo CRC screening. Community health centers (HCs) provide comprehensive primary health care to underserved populations. This study's objectives were to ascertain national CRC screening rates and to explore the relations between sociodemographic characteristics and patient-provider communication on the receipt of CRC screening among HC patients. METHODS: Using 2014 Health Center Patient Survey data, bivariate and multivariate analyses examined the association of sociodemographic variables (sex, race/ethnicity, age, geography, preferred language, household income, insurance, and employment status) and patient-provider communication with the receipt of CRC screening. RESULTS: Patients between the ages of 65 and 75 years (adjusted odds ratio [aOR], 2.49; 95% confidence interval [CI], 1.33-4.64) and patients not in the labor force (aOR, 2.32; 95% CI, 1.37-3.94) had higher odds of receiving CRC screening, whereas patients who were uninsured (aOR, 0.33; 95% CI, 0.18-0.61) and patients who were non-English-speaking (aOR, 0.42; 95% CI, 0.18-0.99) had lower odds. Patient-provider communication was not associated with the receipt of CRC screening. CONCLUSIONS: The CRC screening rate for HC patients was 57.9%, whereas the rate was 65.1% according to the 2012 Behavioral Risk Factor Surveillance System and 58.2% according to the 2013 National Health Interview Survey. The high ratings of patient-provider communication, regardless of the screening status, suggest strides toward a patient-centered medical home practice transformation that will assist in a positive patient experience. Addressing the lack of insurance, making culturally and linguistically appropriate patient education materials available, and training clinicians and care teams in cultural competency are critical for increasing future CRC screening rates. Cancer 2017;123:4185-4192. © 2017 American Cancer Society.

Patient-Centered Medical Home Recognition and Clinical Performance in U.S. Community Health Centers.

INTRODUCTION: America's community health centers (HCs) are uniquely poised to implement the patient-centered medical home (PCMH) model, as they are effective in providing comprehensive, accessible, and continuous primary care. This study aims to evaluate the relationship between PCMH recognition in HCs and clinical performance. METHODS: Data for this study came from the 2012 Uniform Data System (UDS) as well as a survey of HCs' PCMH recognition achievement. The dependent variables included all 16 measures of clinical performance collected through UDS. Control measures included HC patient, provider, and practice characteristics. Bivariate analyses and multiple logistic regressions were conducted to compare clinical performance between HCs with and without PCMH recognition. FINDINGS: Health centers that receive PCMH recognition generally performed better on clinical measures than HCs without PCMH recognition. After controlling for HC patient, provider, and practice characteristics, HCs with PCMH recognition reported significantly better performance on asthma-related pharmacologic therapy, diabetes control, pap testing, prenatal care, and tobacco cessation intervention. CONCLUSION: This study establishes a positive association between PCMH recognition and clinical performance in HCs. If borne out in future longitudinal studies, policy makers and practices should advance the PCMH model as a strategy to further enhance the quality of primary care.

Preventive Counseling Services during Primary Care Visits: A Comparison of Health Centers versus Other Physician Offices.

We compared preventive counseling services provided by health centers versus other physician offices. Cross-sectional data came from the 2008 National Ambulatory Medical Care Survey, including 25,177 patient visits in physician offices and 3,345 patient visits in health centers. Despite serving disproportionately more vulnerable patients, health centers provided comparable rates of preventive counseling services, compared with other physician offices: health education (39% vs. 36%), disease management (34% vs. 41%), asthma education (21% vs. 13%), tobacco education (19% for both), and weight reduction education (6% vs. 9%) (p>.05 for all). Adjusted analyses showed no association between health care setting and preventive counseling.

Patient-centered Medical Home capability and clinical performance in HRSA-supported health centers.

OBJECTIVES: To evaluate the relationship between Patient-centered Medical Home (PCMH) model adoption in health centers (HCs) and clinical performance measures and to determine if adoption of PCMH characteristics is associated with better clinical performance. RESEARCH DESIGN: Data came from the Health Resources and Services Administration's 2009 Uniform Data System and the 2009 Commonwealth Fund National Survey of Federally Qualified Health Centers. Clinical performance measures included 2 process measures (childhood immunization and cervical cancer screening) and 2 outcome measures (hypertension control and diabetes control). Total and subscale PCMH scores were regressed on the clinical performance measures, adjusting for patient, provider, financial, and institutional characteristics. RESULTS: The findings showed different directional relationships, with some PCMH domains (care management, test/referral tracking, quality improvement, and external coordination) showing little or no effect on outcome measures of interest, 1 domain (access/communication) associated with improved outcomes, and 1 domain (patient tracking/registry) associated with worse outcomes. CONCLUSIONS: This study is among the first to examine the association between PCMH transformation and clinical performance in HCs, providing an understanding of the impact of PCMH adoption within safety-net settings. The mixed results highlight the importance of examining relationships between specific PCMH domains and specific clinical quality measures, in addition to analyzing overall PCMH scores which could yield distorted findings.

Challenges and Opportunities to Improve Cervical Cancer Screening Rates in US Health Centers through Patient-Centered Medical Home Transformation.

Over the last 50 years, the incidence of cervical cancer has dramatically decreased. However, health disparities in cervical cancer screening (CCS) persist for women from racial and ethnic minorities and those residing in rural and poor communities. For more than 45 years, federally funded health centers (HCs) have been providing comprehensive, culturally competent, and quality primary health care services to medically underserved communities and vulnerable populations. To enhance the quality of care and to ensure more women served at HCs are screened for cervical cancer, over eight HCs received funding to support patient-centered medical home (PCMH) transformation with goals to increase CCS rates. The study conducted a qualitative analysis using Atlas.ti software to describe the barriers and challenges to CCS and PCMH transformation, to identify potential solutions and opportunities, and to examine patterns in barriers and solutions proposed by HCs. Interrater reliability was assessed using Cohen's Kappa. The findings indicated that HCs more frequently described patient-level barriers to CCS, including demographic, cultural, and health belief/behavior factors. System-level barriers were the next commonly cited, particularly failure to use the full capability of electronic medical records (EMRs) and problems coordinating with external labs or providers. Provider-level barriers were least frequently cited.

Clinical quality performance in U.S. health centers.

OBJECTIVE: To describe current clinical quality among the nation's community health centers and to examine health center characteristics associated with performance excellence. DATA SOURCES: National data from the 2009 Uniform Data System. DATA COLLECTION/EXTRACTION METHODS: Health centers reviewed patient records and reported aggregate data to the Uniform Data System. STUDY DESIGN: Six measures were examined: first-trimester prenatal care, childhood immunization completion, Pap tests, low birth weight, controlled hypertension, and controlled diabetes. The top 25 percent performing centers were compared with lower performing (bottom 75 percent) centers on these measures. Logistic regressions were utilized to assess the impact of patient, provider, and institutional characteristics on health center performance. PRINCIPAL FINDINGS: Clinical care and outcomes among health centers were generally comparable to national averages. For instance, 67 percent of pregnant patients received timely prenatal care (national = 68 percent), 69 percent of children achieved immunization completion (national = 67 percent), and 63 percent of hypertensive patients had blood pressure under control (national = 48 percent). Depending on the measure, centers with more uninsured patients were less likely to do well, while centers with more physicians and enabling service providers were more likely to do well. CONCLUSIONS: Health centers provide quality care at rates comparable to national averages. Performance may be improved by increasing insurance coverage among patients and increasing the ratios of physicians and enabling service providers to patients.

Access versus acculturation: identifying modifiable factors to promote cancer screening among Asian American women.

BACKGROUND: Asian Americans (AA) have the lowest rates of cancer screening of all ethnic groups. Reasons for these low rates of screening frequently include low acculturation levels. However, screening rates remain low for most AA populations despite differences in acculturation levels, suggesting presence of other important modifiers such as access barriers. OBJECTIVES: To compare the relative impact of access versus acculturation on breast and cervical cancer screening for AA subgroups. RESEARCH DESIGN: Multiple regressions models, controlling for sociodemographics, were developed for each AA subgroup. SUBJECTS: Women ages 18 and older from the 2003 California Health Interview Survey were included in this study. We included women with Chinese, Filipino, Japanese, Korean, South Asian, and Vietnamese origins. MEASURES: The dependent variables included clinical breast examination in the past year, mammogram in the past 2 years, and Pap test in the past 3 years. Independent variables included AA subgroup, access indicators, acculturation indicators, and other sociodemographics. RESULTS: Access explained more variation that acculturation alone in cancer screening for most AA women. The exceptions were in mammograms for Japanese, Koreans and South Asians and Pap test among Japanese. No insurance reduced the likelihood of clinical breast examination for immigrant Chinese and Filipinos, and no usual source of care reduced likelihood of Pap test for Japanese and South Asians compared with US born. CONCLUSIONS: Access indicators represent the ability to navigate the US health care system but have a differential impact on AA groups. These differences should be integrated into interventions designed to improve cancer screening rates.

Talking Story: Using Culture to Educate Pacific Islander Men about Health and Aging.

Relatively little attention has been paid in the literature to strategies promoting the health of Native Hawaiian and other Pacific Islander (NHPI) men. To fill this void, a Native Hawaiian cancer survivor and a Marshallese minister in Orange County, California, founded the Kane Group to promote men's health information and support. This group is comprised of 10 to 15 NHPI men, ages 35 to 83, with a diverse background of experiences in the U.S. healthcare system and health conditions, including multiple site cancer survivors and/or co-morbidity and chronic condition, like high blood pressure, diabetes. The Kane Group provides social support and engages in discussions, using the island tradition of "talk story", to relate a variety of men's health issues from prostate cancer to physical fitness to end-of-life decision making in a supportive and safe environment. The group weaves Pacific Islander culture and values into the process and conduct of the support groups. This community commentary describes the innovative strategies, successes, and challenges that emerged with the development of the group that were designed to celebrate Pacific Islander men's health, provide information, fellowship, and support for the many who are facing health crises.

Developing a community-based collaboration to reduce cancer health disparities among Pacific Islanders in California.

Cancer is a leading cause of death for Asians and Pacific Islanders in the United States, but education and research efforts addressing the needs ofPacific Islanders in the continental U.S. is sparse. The purpose of this paper is to describe the development of a community-based participatory research network dedicated to addressing cancer health disparities among Chamorros, Marshallese, Native Hawaiians, Samoans and Tongans in Southern California. Community-based organizations (CBO) comprise the focus of the network, and their efforts have included increasing cancer-related awareness in their communities, developing capacities regarding cancer control, and initiating collaborative research efforts with academic partners. First year processes and outcomes are described, and specific examples are given from two CBO partners.