Characterizing Community Health Workers on Research Teams: Results From the Centers for Population Health and Health Disparities.

OBJECTIVES: To quantify the characteristics of community health workers (CHWs) involved in community intervention research and, in particular, to characterize their job titles, roles, and responsibilities; recruitment and compensation; and training and supervision. METHODS: We developed and administered a structured questionnaire consisting of 25 closed- and open-ended questions to staff on National Institutes of Health-funded Centers for Population Health and Health Disparities projects between March and April 2014. We report frequency distributions for CHW roles, sought-after skills, education requirements, benefits and incentives offered, and supervision and training activities. RESULTS: A total of 54 individuals worked as CHWs across the 18 research projects and held a diverse range of job titles. The CHWs commonly collaborated on research project implementation, provided education and support to study participants, and collected data. Training was offered across projects to bolster CHW capacity to assist in intervention and research activities. CONCLUSIONS: Our experience suggests national benefit in supporting greater efforts to recruit, retain, and support the work of CHWs in community-engagement research.

The geographic distribution of cardiovascular health in the stroke prevention in healthcare delivery environments (SPHERE) study.

BACKGROUND: Community-level factors have been clearly linked to health outcomes, but are challenging to incorporate into medical practice. Increasing use of electronic health records (EHRs) makes patient-level data available for researchers in a systematic and accessible way, but these data remain siloed from community-level data relevant to health. PURPOSE: This study sought to link community and EHR data from an older female patient cohort participating in an ongoing intervention at the Ohio State University Wexner Medical Center to associate community-level data with patient-level cardiovascular health (CVH) as well as to assess the utility of this EHR integration methodology. MATERIALS AND METHODS: CVH was characterized among patients using available EHR data collected May through July of 2013. EHR data for 153 patients were linked to United States census-tract level data to explore feasibility and insights gained from combining these disparate data sources. Analyses were conducted in 2014. RESULTS: Using the linked data, weekly per capita expenditure on fruits and vegetables was found to be significantly associated with CVH at the p<0.05 level and three other community-level attributes (median income, average household size, and unemployment rate) were associated with CVH at the p<0.10 level. CONCLUSIONS: This work paves the way for future integration of community and EHR-based data into patient care as a novel methodology to gain insight into multi-level factors that affect CVH and other health outcomes. Further, our findings demonstrate the specific architectural and functional challenges associated with integrating decision support technologies and geographic information to support tailored and patient-centered decision making therein.

Participants' barriers to diagnostic resolution and factors associated with needing patient navigation.

BACKGROUND: Patient navigation (PN) may improve cancer care by identifying and removing patient-reported barriers to care. In 2012, the American College of Surgeons Commission on Cancer (CoC) announced that health care facilities seeking CoC accreditation must have PN processes in place by January 1, 2015. Given these unfunded mandates, hospitals are looking for cost-effective ways to implement PN. This study examined demographic and psychosocial predictors of barriers to diagnostic resolution among individuals with a cancer screening abnormality enrolled in the Ohio Patient Navigation Research Project. METHODS: Data were obtained from patients who received care at 1 of 9 Ohio Patient Navigation Research Project intervention clinics. Descriptive statistics and logistic regression models were used. RESULTS: There were 424 participants, and 151 (35.6%) reported a barrier to diagnostic resolution within 90 days of study consent. The most commonly reported barriers were misconceptions about a test or treatment (16.4%), difficulty in communicating with the provider (15.0%), and scheduling problems (11.5%). Univariate analyses indicated that race, education, employment, income, insurance, clinic type, friend support, and physical and psychological functioning were significantly associated with reporting a barrier to diagnostic resolution. Multivariate analyses found that comorbidities (odds ratio, 1.65; 95% confidence interval, 1.04-2.61) and higher intrusive thoughts and feelings (odds ratio, 1.25; 95% confidence interval, 1.10-1.41) were significantly associated with reporting a barrier to diagnostic resolution. CONCLUSIONS: The results suggest that demographic and psychosocial factors are associated with barriers to diagnostic resolution. To ensure compliance with the CoC mandate and provide timely care to all patients, CoC-accredited facilities can systematically identify the patients most likely to have barriers to care and assign them to PN.

Belief About Mandatory School Vaccinations and Vaccination Refusal Among Ohio Appalachian Parents: Do Demographic and Religious Factors, General Health, and Political Affiliation Play a Role?

PURPOSE: To examine how demographic, general health, religious, and political characteristics influenced beliefs about mandatory school vaccinations and history of vaccination refusal for children among Ohio Appalachian parents. METHODS: In 2013 and 2014, baseline data were obtained from parents (n = 337) of girls aged 9-17 from 12 counties in rural Ohio Appalachia enrolled in the Community Awareness, Resources and Education (CARE II) Project. Multivariate logistic regression models were used to identify correlates of parental beliefs about mandatory school vaccinations and history of refusing a doctor-recommended vaccine for their child(ren). RESULTS: About 47% of parents agreed that parents should have the right to refuse mandatory school vaccinations for their child(ren). Participants who reported their political affiliation as Republican (OR = 2.45, 95% CI: 1.28-4.66) or Independent (OR = 3.31, 95% CI: 1.70-6.44) were more likely to agree that parents should have the right to refuse school-mandated vaccinations than parents who reported their political affiliation as Democrat. Approximately 39% of parents reported ever refusing a vaccine for their child(ren). Participants who were female (OR = 3.90, 95% CI: 1.04-14.58) and believed that parents should have the right to refuse mandatory school vaccinations (OR = 3.27, 95% CI: 1.90-5.62) were more likely to report ever refusing a vaccine for their child(ren). CONCLUSION: The study findings provide information to better understand factors related to vaccination refusal among parents in Appalachia Ohio that can be used to design interventions to improve vaccination uptake.

Involving Community Health Workers in the Centers for Population Health and Health Disparities Research Projects: Benefits and Challenges.

Understanding the benefits and challenges of including community health workers (CHWs) in health disparities research can improve planning and delivery of culturally appropriate interventions. Representatives from 18 projects from the Centers for Population Health and Health Disparities (CPHHD) initiative completed an online questionnaire about the benefits and challenges of involving CHWs in their research. Eight emergent themes were classified into two categories: 1) Personal qualities and background CHWs bring to research including community knowledge and cultural sensitivity to improve recruitment and effectiveness of interventions; and 2) Workplace demands of CHWs including human resource policies and processes, research skills/background (training needs), and oversight despite distance. These findings demonstrate the benefits of involving CHWs in research and draw attention to the hiring, training, and oversight of CHWs and subsequent challenges. Additional research is needed to understand interactions between project staff and CHWs better and to identify best practices to involve CHWs in research.

Results of a Multilevel Intervention Trial to Increase Human Papillomavirus (HPV) Vaccine Uptake among Adolescent Girls.

BACKGROUND: Uptake of the human papillomavirus (HPV) vaccine is low in Appalachian Ohio and areas with high cervical cancer rates. METHODS: We conducted a group-randomized trial among 12 counties in Appalachian Ohio randomized to receive either an HPV vaccine (intervention counties) or influenza vaccine (comparison counties) multilevel intervention (MLI). Parents (n = 337) who had a daughter aged 9 to 17 years who had not received the HPV vaccine were recruited from commercial lists. Clinics (N = 24) and 119 providers from these clinics were also recruited. The primary outcome was medical record-confirmed receipt of the first shot of the HPV vaccine 3 months after receiving the intervention among daughters of parents enrolled in the study. Secondary outcomes included receipt of the first HPV vaccine shot by 6 months and changes in provider knowledge. RESULTS: According to medical records, 10 (7.7%) daughters of intervention participants received the first shot of the HPV vaccine within 3 months of being sent the intervention materials compared with 4 (3.2%) daughters of comparison group participants (P = 0.061). By 6 months, 17 (13.1%) daughters of intervention participants received the first HPV vaccine shot compared with eight (6.5%) daughters of comparison group participants (P = 0.002). Provider knowledge about HPV increased (P < 0.001, from baseline to after education). CONCLUSIONS: The MLI increased uptake of the HPV vaccine among girls aged 9 to 17 years; however, uptake was low. IMPACT: To improve HPV vaccine uptake, attention to additional levels of influence (e.g., policy, community) and more elements within levels (e.g., reminders, automated prompts) may be needed. Cancer Epidemiol Biomarkers Prev; 25(4); 593-602. ©2016 AACR SEE ALL ARTICLES IN THIS CEBP FOCUS SECTION, "MULTILEVEL APPROACHES TO ADDRESSING CANCER HEALTH DISPARITIES".

Clinic type and patient characteristics affecting time to resolution after an abnormal cancer-screening exam.

BACKGROUND: Research shows that multilevel factors influence healthcare delivery and patient outcomes. The study goal was to examine how clinic type [academic medical center (AMC) or federally qualified health center (FQHC)] and patient characteristics influence time to resolution (TTR) among individuals with an abnormal cancer-screening test enrolled in a patient navigation (PN) intervention. METHODS: Data were obtained from the Ohio Patient Navigation Research Project, a group-randomized trial of 862 patients from 18 clinics in Columbus, Ohio. TTR of patient after an abnormal breast, cervical, or colorectal screening test and the clinics' patient and provider characteristics were obtained. Descriptive statistics and Cox shared frailty proportional hazards regression models of TTR were used. RESULTS: The mean patient age was 44.8 years and 71% of patients were white. In models adjusted for study arm, FQHC patients had a 39% lower rate of resolution than AMC patients (P = 0.004). Patient factors of having a college education, private insurance, higher income, and being older were significantly associated with lower TTR. After adjustment for factors that substantially affected the effect of clinic type (patient insurance status, education level, and age), clinic type was not significantly associated with TTR. CONCLUSIONS: These results suggest that TTR among individuals participating in PN programs are influenced by multiple socioeconomic patient-level factors rather than clinic type. Consequently, PN interventions should be tailored to address socioeconomic status factors that influence TTR. IMPACT: These results provide clues regarding where to target PN interventions and the importance of recognizing predictors of TTR according to clinic type.

Study design, intervention, and baseline characteristics of a group randomized trial involving a faith-based healthy eating and physical activity intervention (Walk by Faith) to reduce weight and cancer risk among overweight and obese Appalachian adults.

BACKGROUND: Increased prevalence of overweight and obesity among Appalachian residents may contribute to increased cancer rates in this region. This manuscript describes the design, components, and participant baseline characteristics of a faith-based study to decrease overweight and obesity among Appalachian residents. METHODS: A group randomized study design was used to assign 13 churches to an intervention to reduce overweight and obesity (Walk by Faith) and 15 churches to a cancer screening intervention (Ribbons of Faith). Church members with a body mass index (BMI) ?25 were recruited from these churches in Appalachian counties in five states to participate in the study. A standard protocol was used to measure participant characteristics at baseline. The same protocol will be followed to obtain measurements after completion of the active intervention phase (12months) and the sustainability phase (24months). Primary outcome is change in BMI from baseline to 12months. Secondary outcomes include changes in blood pressure, waist-to-hip ratio, and fruit and vegetable consumption, as well as intervention sustainability. RESULTS: Church members (n=664) from 28 churches enrolled in the study. At baseline 64.3% of the participants were obese (BMI?30), less than half (41.6%) reported regular exercise, and 85.5% reported consuming less than 5 servings of fruits and vegetables per day. CONCLUSIONS: Church members recruited to participate in a faith-based study across the Appalachian region reported high rates of unhealthy behaviors. We have demonstrated the feasibility of developing and recruiting participants to a faith-based intervention aimed at improving diet and increasing exercise among underserved populations.

Neighborhood factors associated with time to resolution following an abnormal breast or cervical cancer screening test.

BACKGROUND: The effect of neighborhood and healthcare access factors on cancer outcomes among patients enrolled in navigator programs is not clearly understood. This study assessed associations between: (i) neighborhood factors and diagnostic time to resolution (TTR) and (ii) geographic access and TTR following an abnormal breast or cervical cancer screening test among women participating in the Ohio Patient Navigator Research Program (OPNRP). METHODS: Patient (demographic, socioeconomic status, home-to-clinic distance) and neighborhood (deprivation, racial segregation) characteristics of 801 women living in one of 285 census tracts (CT) in greater Columbus, Ohio were examined. Randomization to receive navigation occurred at the clinic level. Multilevel Cox regression and spatial analysis were used to estimate effects of various factors on TTR and assess model assumptions, respectively. RESULTS: TTR increased as neighborhood deprivation increased. After adjustment for age, friend social support, education, and healthcare status, the TTR among women living in a neighborhood with a moderate median household income (between $36,147 and $53,099) was shorter compared with women living in low median household income neighborhoods (<$36,147; P < 0.05). There is little evidence that unmeasured confounders are geographically patterned. CONCLUSIONS: Increased neighborhood socioeconomic deprivation was associated with longer TTR following an abnormal breast or cervical cancer screening test. IMPACT: These results highlight the need for addressing patient- and neighborhood-level factors to reduce cancer disparities among underserved populations.