Are community health centers' chief executive officers' compensation related to clinical performance?

BACKGROUND: Most research of chief executive officer (CEO) compensation in the health care industry has been limited to hospitals. This study expands our knowledge of CEO compensation into the nonhospital areas of the industry, specifically community health centers (CHCs). CHCs are safety-net providers that are an integral part of the U.S. health delivery system for medically underserved populations. Since the passage of the Patient Protection and Affordable Care Act, the federal government has created financial incentives for CHCs to improve care through access and quality performance criteria. To promote quality improvement, CEOs need to set their organization's priorities. One method used to achieve this goal is to tie the CEO's compensation to the organization's quality performance. However, there is a gap in our knowledge if CHCs' CEOs compensation is associated with quality performance outcomes. PURPOSE: The primary aim of this study was to examine the relationship between clinical performance and CEO compensation in CHCs. METHODS/APPROACH: Agency, social comparison, and managerial power theories guided this research, which examines the relationship of clinical performance and CEO compensation. Secondary data on Uniform Data System's CHC clinical performance combined with CEO compensation from Internal Revenue Service Form 990 were analyzed using generalized estimating equations with state and year fixed effects on a national sample of section 330 grant-funded CHCs (N = 984) for the period 2011-2016. RESULTS: We found no evidence that clinical performance was associated with CHCs' CEO compensation. Except for race, all other CEO characteristics were positively associated with CEO compensation and in line with previous research. We found that non-White CEOs were compensated more than White CEOs. In addition, further subanalyses revealed that an increase in the highest paid employees' compensation was associated with an increase in CEO compensation. PRACTICE IMPLICATIONS: The findings of this study can assist Health Resources and Services Administration improve its assessment policies in funding allocation to CHCs, as well as help board members make informed decisions regarding tying CEO compensation to predetermined performance metrics.

Implementing Two Randomized Pragmatic Trials of HPV Self-sampling among Underserved Women: Challenges and Lessons Learned.

BACKGROUND: Haitian and Hispanic immigrant women experience substantial disparities in cervical cancer screening. Recently, our team completed two randomized trials of human papillomavirus (HPV) self-sampling as a cervical cancer screening strategy among Haitian and Hispanic women, using a community-based participatory research (CBPR) approach. OBJECTIVE: To reflect on lessons learned in the process of completing two large randomized cancer screening trials within underserved communities. METHODS: Haitian and Hispanic women were randomized to HPV self-sampling versus navigation to Pap smear versus standard cervical cancer screening education in the first trial, and HPV self-sampling delivered in-person versus via mail in the second trial. LESSONS LEARNED: During the two trials, our team encountered several challenges. The lessons learned from these challenges allowed for the strengthening of our community partnerships, study procedures, and our ability to conduct CBPR within an academic setting. CONCLUSIONS: Lessons learned from our trials may be useful to other researchers engaging in CBPR within underserved communities.

Health Information Technology Adoption and Clinical Performance in Federally Qualified Health Centers.

A national sample (N = 982) of federally qualified health centers (FQHCs) for the period 2011-2016 was examined regarding the relationship between the age and extent of health information technology (HIT) use and clinical performance. We found that each additional year of HIT use was associated with an approximate 4 percent increase in both process and outcome measures of clinical performance. Furthermore, FQHCs that fully adopted HIT had 7 percent higher clinical performance on hypertension control than those that did not adopt HIT. This study's findings can assist stakeholders to make informed decisions for improving care and sustaining a competitive advantage.

Not so implausible: impact of longitudinal assessment of implausible anthropometric measures on obesity prevalence and weight change in children and adolescents.

PURPOSE: Implausible anthropometric measures are typically identified using population outlier definitions, conflating implausible and extreme measures. We determined the impact of a longitudinal outlier approach on prevalence of body mass index (BMI) categories and mean change in anthropometric measures in pediatric electronic health record data. METHODS: We examined 996,131 observations from 147,375 children (10-18 years) in the ADVANCE Clinical Data Research Network, a national network of community health centers. Sex-stratified, mixed effects, linear spline regression modeled weight, height, and BMI as a function of age. Longitudinal outliers were defined as observations with studentized residual greater than |6|; population outliers were defined by Centers for Disease Control-defined z-score thresholds. RESULTS: At least 99.7% of anthropometric measures were not extreme by longitudinal or population definitions (agreement ≥ 0.995). BMI category prevalence after excluding longitudinal or population outliers differed by less than 0.1%. Among children greater than 85th percentile at baseline, annual mean changes in anthropometric measures were larger in data that excluded longitudinal (girls: 1.24 inches, 12.39 pounds, 1.53 kg/m2; boys: 2.34, 14.08, 1.07) versus population outliers (girls: 0.61 inches, 8.22 pounds, 0.75 kg/m2; boys: 1.53, 11.61, 0.48). CONCLUSIONS: Longitudinal outlier methods may reduce underestimation of anthropometric change in children with elevated baseline values.

A randomized trial of mailed HPV self-sampling for cervical cancer screening among ethnic minority women in South Florida.

PURPOSE: HPV self-sampling has previously been shown to increase cervical cancer screening among ethnic minority and immigrant women. We conducted a randomized pragmatic trial to examine the effectiveness of HPV self-sampling delivered via in-person versus by US mail for medically underserved Hispanic, Haitian, and non-Hispanic Black women living in South Florida. METHODS: We randomized women aged 30-65 who had not completed Pap smear screening in the past 3 years into two groups: (1) HPV self-sampling delivered in-person (IP) by a community health worker (CHW; IP + SS) or (2) HPV self-sampling delivered via US mail (SS + Mail). Our primary outcome was HPV self-sampling completion by 6-month post-study enrollment. RESULTS: We enrolled 600 women. Approximately 65% were Hispanic and 35% were Haitian or non-Hispanic Black. Nearly half (43%) had an income of less than $20,000/year and 67% were uninsured. In intent-to-treat analyses, 71.6% of participants in the SS + Mail group and 81.0% of participants in the IP + SS group completed HPV self-sampling. CONCLUSION: Mailed HPV self-sampling is an effective strategy to increase cervical cancer screening among underserved immigrant and ethnic minority women.

OneFlorida Clinical Research Consortium: Linking a Clinical and Translational Science Institute With a Community-Based Distributive Medical Education Model.

PROBLEM: Developing a national pragmatic clinical trial infrastructure is central to understanding the effectiveness of interventions applied under usual conditions and where people receive health care. To address this challenge, three Florida universities-the University of Florida Clinical and Translational Science Institute, Florida State University (with its community-based distributive medical education model), and the University of Miami-created (2010-2013) a statewide consortium, the OneFlorida Clinical Research Consortium, to support the conduct of pragmatic clinical trials and provide mentored research experiences for medical and graduate students in real-world practice settings. APPROACH: OneFlorida has four programs, which report to a steering committee with membership from each partner, community members, and the state Medicaid agency and Department of Health to ensure shared governance. The Clinical Research Program provides support to conduct research in the network and uses champions to engage community clinicians. The Citizen Scientist Program has community members who provide input on health topics of importance to them, study design, recruitment and retention strategies, and the interpretation of findings. The Data Trust Program contains electronic health record and health care claims data for 10.6 million Floridians. The Minority Education Program, in collaboration with three historically black colleges and universities, offers minority junior faculty mentoring in pragmatic clinical trials and implementation science. OUTCOMES: OneFlorida has implemented 27 studies with diverse patient populations and in diverse community practice settings. NEXT STEPS: To identify evidence-based best practices from the clinical trials conducted in the network, foster their implementation, and expand research training opportunities.

Impacts of Initial Transformation to a Patient-Centered Medical Home on Diabetes Outcomes in Federally Qualified Health Centers in Florida.

OBJECTIVE: Federally qualified health centers (FQHCs) in Florida see large numbers of vulnerable patients with diabetes. Patient-centered medical home (PCMH) models can lead to improvements in health for patients with chronic conditions and cost savings for providers. Therefore, FQHCs are increasingly moving to PCMH models of care. The study objective was to examine the effects of initial transformation to a level 3 National Committee for Quality Assurance (NCQA) certified PCMH in 2011, on clinical diabetes outcomes among 27 clinic sites from a network of FQHCs in Florida. METHODS: We used de-identified, longitudinal electronic health record (EHR) data from 2010-2012 and multivariate logistic regression to analyze the effects of initial transformation on the odds of having well-controlled HbA1c, body mass index (BMI), and blood pressure (BP) among vulnerable patients with diabetes. Models controlled for clustering by year, patient, and organizational characteristics. RESULTS: Overall, transformation to a PCMH was associated with 19% greater odds of having well-controlled HbA1c values with no statistically significant impact on BMI or BP. Subanalyses showed transformation had less of an effect on BP for African American patients and HbA1c control for Medicare enrollees but a greater effect on weight control for patients older than 35 years. CONCLUSION: Transformation to a PCMH in FQHCs appears to improve the health of vulnerable patients with diabetes, with less improvement for subsets of patients. Future research should seek to understand the heterogeneous effects of patient-centered transformation on various subgroups.

Oversight on the borderline: Quality improvement and pragmatic research.

Pragmatic research that compares interventions to improve the organization and delivery of health care may overlap, in both goals and methods, with quality improvement activities. When activities have attributes of both research and quality improvement, confusion often arises about what ethical oversight is, or should be, required. For routine quality improvement, in which the delivery of health care is modified in minor ways that create only minimal risks, oversight by local clinical or administrative leaders utilizing institutional policies may be sufficient. However, additional consideration should be given to activities that go beyond routine, local quality improvement to first determine whether such non-routine activities constitute research or quality improvement and, in either case, to ensure that independent oversight will occur. This should promote rigor, transparency, and protection of patients' and clinicians' rights, well-being, and privacy in all such activities. Specifically, we recommend that (1) health care organizations should have systematic policies and processes for designating activities as routine quality improvement, non-routine quality improvement, or quality improvement research and determining what oversight each will receive. (2) Health care organizations should have formal and explicit oversight processes for non-routine quality improvement activities that may include input from institutional quality improvement experts, health services researchers, administrators, clinicians, patient representatives, and those experienced in the ethics review of health care activities. (3) Quality improvement research requires review by an institutional review board; for such review to be effective, institutional review boards should develop particular expertise in assessing quality improvement research. (4) Stakeholders should be included in the review of non-routine quality improvement and quality improvement-related research proposals. Only by doing so will we optimally leverage both pragmatic research on health care delivery and local implementation through quality improvement as complementary activities for improving health.

The ADVANCE network: accelerating data value across a national community health center network.

The ADVANCE (Accelerating Data Value Across a National Community Health Center Network) clinical data research network (CDRN) is led by the OCHIN Community Health Information Network in partnership with Health Choice Network and Fenway Health. The ADVANCE CDRN will 'horizontally' integrate outpatient electronic health record data for over one million federally qualified health center patients, and 'vertically' integrate hospital, health plan, and community data for these patients, often under-represented in research studies. Patient investigators, community investigators, and academic investigators with diverse expertise will work together to meet project goals related to data integration, patient engagement and recruitment, and the development of streamlined regulatory policies. By enhancing the data and research infrastructure of participating organizations, the ADVANCE CDRN will serve as a 'community laboratory' for including disadvantaged and vulnerable patients in patient-centered outcomes research that is aligned with the priorities of patients, clinics, and communities in our network.

Sexual risk behaviors in late middle age and older HIV seropositive adults.

Little is known about the sexual behaviors of older adults, although the prevalence of HIV/AIDS is rapidly increasing in this population. As part of a larger multi-site study examining secondary HIV prevention, we recruited from an HIV primary care clinic 210 sexually active HIV positive individuals aged 45 and over (125 men, 85 women) who had engaged in vaginal or anal sex within the past six months. Twenty percent of the participants reported inconsistent use of condoms and 33% had multiple sexual partners during the previous six months. Negative mood and perceived HIV stigma were associated with inconsistent condom use. In addition, multiple sex partners and higher level of education were related to inconsistent condom use during sex with partners of negative or unknown serostatus. These findings indicate that contrary to current beliefs, sexually active older adults, similar to younger ones, may be engaging in high risk transmission behaviors.

Diagnostic inconsistency: a marker of service utilization in bipolar disorder.

Community outcomes for the treatment of bipolar disorder remain poor, including frequent hospitalization. Recent small-scale studies suggest that hospitalization may be tied to poor recognition and medication management. This paper examines the health care charges associated with poor recognition of mania. Service utilization was analyzed for 3,856 individuals with bipolar disorder in a managed care plan. Only 8.2% of patients were diagnosed with bipolar disorder, however they accounted for 45% of inpatient charges. Among patients with bipolar disorder, cases where diagnoses were changed to unipolar depression were hospitalized more quickly. Interventions are suggested to increase consistent recognition of manic history.

Association of utilization management and treatment plan modifications among practicing U.S. psychiatrists.

OBJECTIVE: This study examined the relationship between utilization management techniques and psychiatrists' treatment plan modifications. METHOD: Nationally representative data on 1,843 patients treated by 615 psychiatrists participating in the American Psychiatric Institute for Research and Education's Practice Research Network were used to examine the demographic and clinical characteristics of patients whose care was subjected to utilization management and to assess the association between utilization management and psychiatrists' treatment plan modifications. RESULTS: Approximately half of all patients had treatment that was subject to utilization management (52.6%). For the patients whose treatment was not subject to utilization management, 15.5% had their treatment plan changed compared to the 31.5% who were subject to utilization management. Overall, after adjustment for differences in patients, settings, and psychiatrist characteristics, the patients subject to utilization management were 2.6 times more likely to have their treatment changed than the patients who were not subject to utilization management. These patients were 3.7 times more likely to have their type of treatment changed and 2.3 times more likely to have their frequency or number of visits changed. Psychiatrists in individual practice settings and those with nonsalaried income sources were more likely to modify treatment decisions for their patients when subject to utilization management. CONCLUSIONS: The presence of utilization management is highly associated with changes in psychiatrists' treatment decisions. When compared to evidence-based treatment recommendations, these changes seem likely to result in less than optimal care.

Risk factors for psychosocial dysfunction among enrollees in the State Children's Health Insurance Program.

OBJECTIVE: The authors studied enrollees in the State Children's Health Insurance Program (SCHIP) (Title XXI) to characterize risk factors for psychosocial dysfunction among children of the working poor. METHODS: Medical and psychosocial variables were included in a survey completed by 393 parents of children enrolled in SCHIP. Regression analysis was used to examine the relationship between these variables and scores on the Pediatric Symptom Checklist, a measure of psychosocial dysfunction among children. RESULTS: Stepwise multiple regression showed that parental dysphoria, parental history of psychiatric or substance use problems, childhood chronic medical illness, and exposure to traumatic events each contributed independently to variance in psychosocial dysfunction in this population, explaining 34 percent of total variance. CONCLUSIONS: Despite strong progress in implementing SCHIP at the state level, the behavioral health care needs of children of the working poor have not been well defined. This study identified risk factors that can be easily found in the patient's medical record or detected during an interview by the primary care physician. Thus screening to identify children at risk of psychosocial dysfunction is warranted among SCHIP enrollees.