Lydie A. Lebrun-Harris

Homelessness, cigarette smoking and desire to quit: results from a US national study.

AIMS We determined whether or not homelessness is associated with cigarette smoking independent of other socio-economic measures and behavioral health factors, and whether homeless smokers differ from non-homeless smokers in their desire to quit. DESIGN, SETTING AND PARTICIPANTS We analyzed data from 2678 adult respondents to the 2009 Health Center Patient Survey, a nationally representative cross-sectional survey of homeless and non-homeless individuals using US federally funded community health centers. MEASUREMENTS We used multivariable logistic regression to examine the association between homelessness and (i) current cigarette smoking among all adults, and (ii) past-year desire to quit among current smokers, adjusting for demographic, socio-economic and behavioral health characteristics. FINDINGS Adults with any history of homelessness were more likely than never homeless respondents to be current smokers (57 versus 27%, P < 0.001). In multivariable models, a history of homelessness was associated independently with current smoking [adjusted odds ratio (AOR) 2.09; 95% confidence interval (CI) = 1.49-2.93], even after adjusting for age, sex, race, veteran status, insurance, education, employment, income, mental illness and alcohol and drug abuse. Housing status was not associated significantly with past-year desire to stop smoking in unadjusted (P = 0.26) or adjusted (P = 0.60) analyses; 84% of currently homeless, 89% of formerly homeless and 82% of never homeless smokers reported wanting to quit. CONCLUSIONS Among patients of US health centers, a history of homelessness doubles the odds of being a current smoker independent of other socio-economic factors and behavioral health conditions. However, homeless smokers do not differ from non-homeless smokers in their desire to quit and should be offered effective interventions.

Reducing Disparities in Access to Primary Care and Patient Satisfaction with Care: The Role of Health Centers

This paper examined disparities in access to and satisfaction with primary care among patients of different racial/ethnic groups and insurance coverage, in health centers and the nation overall. Data came from the 2009 Health Center Patient Survey and 2009 Medical Expenditure Panel Survey. Study outcomes included usual source of care, type of usual source of care, satisfaction with provider office hours, and satisfaction with overall care. Health center patients were more racially and ethnically diverse than national patients, and health center patients were more likely than national patients to be uninsured or publicly insured. No significant health care disparities in access to care existed among patients from different racial/ethnic and insurance groups among health centers, unlike low-income patients nationwide or the U.S. population in general. Additional focus on the uninsured, in health centers and other health care settings nationwide, is needed to enhance satisfaction with care among these patients.

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.

Effects of patient-centered medical home attributes on patients' perceptions of quality in federally supported health centers.

PURPOSE We sought to assess patients’ ratings of patient-centered medical home (PCMH) attributes and overall quality of care within federally supported health centers. METHODS Data were collected through the 2009 Health Center Patient Survey (n = 4,562), which consisted of in-person interviews and included a nationally representative sample of patients seen in health centers. Quality measures included patients’ perceptions of overall quality of services, perceptions of quality of clinician advice/treatment, and likelihood of referring friends and relatives to the health center. PCMH attributes included (1) access to care getting to health center, (2) access to care during visit, (3) patient-centered communication with health care clinicians, (4) patient-centered communication with support staff, (5) self-management support for chronic conditions, (6) self-management support for behavioral risks, and (7) comprehensive preventive care. Bivariate analysis and logistic regressions were used to examine associations between patients’ perceptions of PCMH attributes and patient-reported quality of care. RESULTS Eighty-four percent of patients reported excellent/very good overall quality of services, 81% reported excellent/very good quality of clinician care, and 84% were very likely to refer friends and relatives. Higher patient ratings on the access to care and patient-centered communication attributes were associated with higher odds of patient-reported high quality of care on the 3 outcome measures. CONCLUSIONS More than 80% of patients perceived high quality of care in health centers. PCMH attributes related to access to care and communication were associated with greater likelihood of patients reporting high-quality care.

Access to Mental Health Services Among Patients at Health Centers and Factors Associated with Unmet Needs

Cross-sectional 2009 Health Center Patient Survey data describe the mental health status of health center patients, utilization of mental health services, and factors associated with unmet need for mental health treatment. One in five health center patients accessed mental health services in the past year, and over half of the patients who received counseling received this treatment at a health center. Patients who were unable to access mental health care cited affordability as a concern. Unmet need for mental health treatment was reported by one in three patients. Multivariate analysis found that the odds of reporting unmet need were higher for patients who lacked a usual source of care and patients with serious mental illness.

Cigarette Smoking, Desire to Quit, and Tobacco-Related Counseling Among Patients at Adult Health Centers

Objectives. We determined cigarette smoking prevalence, desire to quit, and tobacco-related counseling among a national sample of patients at health centers. Methods. Data came from the 2009 Health Center Patient Survey and the 2009 National Health Interview Survey. The analytic sample included 3949 adult patients at health centers and 27 731 US adults. Results. Thirty-one percent of health center patients were current smokers, compared with 21% of US adults in general. Among currently smoking health center patients, 83% desired to quit and 68% received tobacco counseling. In multivariable models, patients had higher adjusted odds of wanting to quit if they had indications of severe mental illness (adjusted odds ratio [AOR] = 3.26; 95% confidence interval [CI] = 1.19, 8.97) and lower odds if they had health insurance (AOR = 0.43; 95% CI = 0.22, 0.86). Patients had higher odds of receiving counseling if they had 2 or more chronic conditions (AOR = 2.05; 95% CI = 1.11, 3.78) and lower odds if they were Hispanic (AOR = 0.57; 95% CI = 0.34, 0.96). Conclusions. Cigarette smoking prevalence is substantially higher among patients at health centers than US adults in general. However, most smokers at health centers desire to quit. Continued efforts are warranted to reduce tobacco use in this vulnerable group.

Enabling Quality: Electronic Health Record Adoption and Meaningful Use Readiness in Federally Funded Health Centers.

Abstract:The Health Resources and Services Administration has supported the adoption of electronic health records (EHRs) by federally funded health centers for over a decade; however, little is known about health centers’ current EHR adoption rates, progress toward Meaningful Use, and factors related to adoption. We analyzed cross-sectional data from all 1,128 health centers in 2011, which served over 20 million patients during that year. As of 2011, 80% of health centers reported using an EHR, and high proportions reported using many advanced EHR functionalities. There were no indications of disparities in EHR adoption by census region, urban/rural location, patient sociodemographic composition, physician staffing, or health center funding; however, there were small variations in adoption by total patient cost and percent of revenue from grants. Findings revealed no evidence of a digital divide among health centers, indicating that health centers are implementing EHRs, in keeping with their mission to reduce health disparities.

The Design and Implementation of the 2016 National Survey of Children’s Health

Introduction Since 2001, the Health Resources and Services Administration’s Maternal and Child Health Bureau (HRSA MCHB) has funded and directed the National Survey of Children’s Health (NSCH) and the National Survey of Children with Special Health Care Needs (NS-CSHCN), unique sources of national and state-level data on child health and health care. Between 2012 and 2015, HRSA MCHB redesigned the surveys, combining content into a single survey, and shifting from a periodic interviewer-assisted telephone survey to an annual self-administered web/paper-based survey utilizing an address-based sampling frame. Methods The U.S. Census Bureau fielded the redesigned NSCH using a random sample of addresses drawn from the Census Master Address File, supplemented with a unique administrative flag to identify households most likely to include children. Data were collected June 2016–February 2017 using a multi-mode design, encouraging web-based responses while allowing for paper mail-in responses. A parent/caregiver knowledgeable about the child’s health completed an age-appropriate questionnaire. Experiments on incentives, branding, and contact strategies were conducted. Results Data were released in September 2017. The final sample size was 50,212 children; the overall weighted response rate was 40.7%. Comparison of 2016 estimates to those from previous survey iterations are not appropriate due to sampling and mode changes. Discussion The NSCH remains an invaluable data source for key measures of child health and attendant health care system, family, and community factors. The redesigned survey extended the utility of this resource while seeking a balance between previous strengths and innovations now possible.

Transition Planning Among US Youth With and Without Special Health Care Needs

Health care transition performance results from the 2016 NSCH are presented for youth with and without SHCNs. BACKGROUND: Researchers have shown that most youth with special health care needs (YSHCN) are not receiving guidance on planning for health care transition. This study examines current transition planning among US youth with and without special health care needs (SHCN). METHODS: The 2016 National Survey of Children’s Health is nationally representative and includes 20 708 youth (12–17 years old). Parents and/or caregivers were asked if transition planning occurred, based on the following elements: (1) doctor or other health care provider (HCP) discussed the eventual shift to an HCP who cares for adults, (2) an HCP actively worked with youth to gain self-care skills or understand changes in health care at age 18, and (3) youth had time alone with an HCP during the last preventive visit. Sociodemographic and health system characteristics were assessed for associations with transition planning. RESULTS: Nationally, 17% of YSHCN and 14% of youth without SHCN met the overall transition measure. Older age (15–17 years) was the only sociodemographic factor associated with meeting the overall transition measure and individual elements for YSHCN and youth without SHCN. Other sociodemographic characteristics associated with transition planning differed among the 2 populations. Receipt of care coordination and a written plan was associated with transition planning for YSHCN. CONCLUSIONS: This study reveals that few youth with and without SHCN receive transition planning support. It underscores the need for HCPs to work with youth independently and in collaboration with parents and/or caregivers throughout adolescence to gain self-care skills and prepare for adult-focused care.

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 Cohens 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.