Flexibility, adaptation, and roles of patient navigators in oncology during COVID-19.

BACKGROUND: The impact of COVID-19 on cancer care during the first 6 months of the pandemic has been significant. The National Navigation Roundtable Workforce Development Task Group conducted a national survey to highlight the role of patient navigators (PNs). METHODS: An anonymous online survey captured how cancer care navigation changed during 2 phases: 1) March 13 to May 31, 2020; and 2) June 1 to September 4, 2020. Differences between the 2 time periods for categorical variables were assessed using χ2 tests, and 1-way analyses of variance were used for ordinal variables. RESULTS: Almost one-half of PNs expected changes in duties (49%) during phase 1. By phase 2, PNs showed greater confidence in retaining PN work (P < .001) and reduced changes to duties (P < .01). PNs reported new training on COVID-19 and telehealth during phase 1 (64% and 27%, respectively) and phase 2 (54% and 19%, respectively). Significant decreases in service delays were identified by phase 2 for cancer screening (P < .001), preventive care (P < .001), medical treatment (P < .01), cancer treatment (P < .001), and cancer survivorship services (P < .01). PNs reported that the top patient issues were COVID-19 concerns, medical care disruptions, and finances, and there were decreases in medical care disruptions (P < .01) during phase 2. PNs addressed myths related to mask use, COVID-19 spread, disbelief, risk, clinical changes, transmission prevention, and finances/politics. CONCLUSIONS: The PN role demonstrated resiliency and adaptability. Both clinical and nonclinical oncology PNs identified key patient needs and can provide connections with patient populations that have been economically and socially marginalized, which is necessary to build trust throughout the pandemic.

Evaluating the sustainability of patient navigation programs in oncology by length of existence, funding, and payment model participation.

BACKGROUND: For this study, the authors examined whether specific programmatic factors were associated with the sustainability of patient navigation programs. METHODS: This cross-sectional survey explored navigation programmatic factors associated with 3 measures of sustainability: 1) length of program existence, 2) reliance on sustainable funding, and 3) participation in alternative payment models. In total, 750 patient navigators or program administrators affiliated with oncology navigation programs in clinical-based and community-based settings completed the survey between April and July 2019. RESULTS: Associations were observed between both accreditation and work setting and measures of program sustainability. Accredited programs and larger, more resourced clinical institutions were particularly likely to exhibit multiple measures of sustainability. The results also identified significant gaps at the programmatic level in data collection and reporting among navigation programs, but no association was observed between programmatic data collection/reporting and sustainability. CONCLUSIONS: Navigation is not currently a reimbursable service and has historically been viewed as value-added in oncology settings. Therefore, factors associated with sustainability are critical to understand how to build a framework for successful navigation programs within the current system and also to develop the case for potential reimbursement in the future.

Barriers and opportunities to measuring oncology patient navigation impact: Results from the National Navigation Roundtable survey.

BACKGROUND: Patient navigation improves cancer care delivery for those most at risk for poor outcomes. Lack of sustainable funding threatens the full integration of navigation services into health care delivery systems. Standardized navigation metrics that document impact and identify best practices are necessary to support sustainability. METHODS: The National Navigation Roundtable administered a web-based, cross-sectional survey to oncology patient navigation programs to identify barriers and facilitators to the use of navigation metrics. The 38-item survey asked about data-collection practices and specific navigation metrics used by the program. Exploratory and descriptive statistics were used to identify factors associated with data collection and reporting. RESULTS: Seven hundred fifty respondents from across the country represented navigation programs across the continuum of care. Although 538 respondents (72%) reported participating in routine data collection, only one-half of them used data for reporting purposes. For the 374 programs that used electronic health records, only 40% had discrete, reportable navigation fields, and 25% had an identifier for navigated patients. Program funding was identified as the only characteristic associated with data collection, whereas the type of data collected was associated with work setting, participation in alternative payment models, and where on the continuum navigation services are provided. Respondents participating in an oncology accreditation program were more likely to collect specific outcome metrics across the continuum and to use those data for reporting purposes. The most common barriers to data collection were time (55%) and lack of support for complex data systems and/or platforms (50%). CONCLUSIONS: Inconsistent data collection and reporting of oncology navigation programs remain a threat to sustainability. Aligning data collection with oncology accreditation, funding, and reimbursement is a viable path forward.

Exploring classes of cancer patient navigators and determinants of navigator role retention.

BACKGROUND: In the current nationwide study, the authors used latent class analysis (LCA) to identify classes of cancer patient navigators (CPNs) and examined whether class membership and 12 indicators were related to navigator role retention. METHODS: By using data from 460 CPNs in the United States, LCA identified classes (ie, homogenous subgroups) of CPNs with the following indicators: type of CPN (clinical vs nonclinical), education level, area(s) of the cancer care continuum in which the CPN provided patient navigation, region and urbanity where the CPN provided services, organizational work setting, and patient navigation program funding source. The associations of navigator retention with class membership and each indicator were examined using χ2 tests. RESULTS: LCA identified 3 classes of CPNs. Classes 1 and 3 were conceptualized as distinct, homogeneous subgroups of clinical CPNs that appeared to differ mainly on their likelihood of engagement in outreach, survivorship, palliative care, and end-of-life patient navigation. Class 2 was conceptualized as a nonclinical CPN subgroup that was distinct primarily based on their high endorsement of employment in programs, which are at least partially funded by grants and engagement in earlier stages of patient navigation (eg, early detection). The provision of survivorship and treatment patient navigation was related to navigator role retention, with senior CPNs providing these patient navigation services more than novice CPNs. CONCLUSIONS: The current study highlights 3 distinct classes of CPNs, provides initial information regarding determinants of navigator retention, and makes several recommendations for future patient navigation research.

Comparing clinical and nonclinical cancer patient navigators: A national study in the United States.

BACKGROUND: A nationwide survey was conducted to examine differences between clinical and nonclinical oncology navigators in their service provision, engagement in the cancer care continuum, personal characteristics, and program characteristics. METHODS: Using convenience sampling, 527 oncology navigators participated and completed an online survey. Descriptive statistics, χ2 statistics, and t tests were used to compare nonclinical (eg, community health worker) and clinical (eg, nurse navigators) navigators on the provision of various navigation services, personal characteristics, engagement in the cancer care continuum, and program characteristics. RESULTS: Most participants were clinical navigators (76.1%). Compared to nonclinical navigators, clinical navigators were more likely to have a bachelor's degree or higher (88.6% vs 69.6%, P < .001), be funded by operational budgets (84.4% vs 35.7%, P < .001), and less likely to work at a community-based organization or nonprofit (2.0% vs 36.5%, P < .001). Clinical navigators were more likely to perform basic navigation (P < .001), care coordination (P < .001), treatment support (P < .001), and clinical trial/peer support (P = .005). Clinical navigators were more likely to engage in treatment (P < .001), end-of-life (P < .001), and palliative care (P = .001) navigation. CONCLUSIONS: There is growing indication that clinical and nonclinical oncology navigators perform different functions and work in different settings. Nonclinical navigators may be more likely to face job insecurity because they work in nonprofit organizations and are primarily funded by grants.

Community health worker intervention improves early childhood vaccination rates: results from a propensity-score matching evaluation.

BACKGROUND: Arizona's Health Start Program is a statewide community health worker (CHW) maternal and child health home visiting intervention. The objective of this study was to test if participation in Health Start during 2006-2016 improved early childhood vaccination completion rates. METHODS: This retrospective study used 11 years of administrative, birth certificate, and immunization records. Propensity score matching was used to identify control groups, based on demographic, socioeconomic, and geographic characteristics. Results are reported by historically disadvantaged subgroups and/or with a history of low vaccine uptake, including Hispanic/Latinx and American Indian children, and children of low socioeconomic status and from rural areas, children with teen mothers and first-born children. The average treatment-on-the-treated (ATT) effect estimated the impact of Health Start on timely completion of seven early childhood vaccine series: diphtheria/tetanus toxoids and acellular/whole-cell pertussis (DTaP/DTP), Haemophilus influenzae type b (Hib), hepatitis B (Hep. B), measles-mumps-rubella (MMR), pneumococcal conjugate vaccine (PCV13), poliovirus, and varicella. RESULTS: Vaccination completion rates (by age five) were 5.0% points higher for Health Start children as a group, and on average 5.0% points higher for several subgroups of mothers: women from rural border counties (ATT 5.8), Hispanic/Latinx women (ATT 4.8), American Indian women (ATT 4.8), women with less than high school education (ATT 5.0), teen mothers (ATT 6.1), and primipara women (ATT 4.5), compared to matched control groups (p-value ≤ 0.05). Time-to-event analyses show Health Start children complete vaccination sooner, with a hazard rate for full vaccination 13% higher than their matches. CONCLUSION: A state-operated home visiting intervention with CHWs as the primary interventionist can effectively promote early childhood vaccine completion, which may reduce the incidence of preventable diseases and subsequently improve children's health. Effects of CHW interventions on vaccination uptake is particularly relevant given the rise in vaccine-preventable diseases in the US and globally. TRIAL REGISTRATION: Approved by the University of Arizona Research Institutional Review Board (Protocol 1701128802), 25 January 2017.

Impact of a Community Health Worker (CHW) Home Visiting Intervention on Any and Adequate Prenatal Care Among Ethno-Racially Diverse Pregnant Women of the US Southwest.

OBJECTIVES: Social and structural barriers drive disparities in prenatal care utilization among minoritized women in the United States. This study examined the impact of Arizona's Health Start Program, a community health worker (CHW) home visiting intervention, on prenatal care utilization among an ethno-racially and geographically diverse cohort of women. METHODS: We used Health Start administrative and state birth certificate data to identify women enrolled in the program during 2006-2016 (n = 7,117). Propensity score matching was used to generate a statistically-similar comparison group (n = 53,213) of women who did not participate in the program. Odds ratios were used to compare rates of prenatal care utilization. The process was repeated for select subgroups, with post-match regression adjustments applied where necessary. RESULTS: Health Start participants were more likely to report any (OR 1.24, 95%CI 1.02-1.50) and adequate (OR 1.08, 95%CI 1.01-1.16) prenatal care, compared to controls. Additional specific subgroups were significantly more likely to receive any prenatal care: American Indian women (OR 2.22, 95%CI 1.07-4.60), primipara women (OR 1.64, 95%CI 1.13-2.38), teens (OR 1.58, 95%CI 1.02-2.45), women in rural border counties (OR 1.45, 95%CI 1.05-1.98); and adequate prenatal care: teens (OR 1.31, 95%CI 1.11-1.55), women in rural border counties (OR 1.18, 95%CI 1.05-1.33), primipara women (OR 1.18, 95%CI 1.05-1.32), women with less than high school education (OR 1.13, 95%CI 1.00-1.27). CONCLUSIONS FOR PRACTICE: A CHW-led perinatal home visiting intervention operated through a state health department can improve prenatal care utilization among demographically and socioeconomically disadvantaged women and reduce maternal and child health inequity.

Improving the Continuum of Care by Bridging the Gap between Prehospital and Hospital Discharge Data through Stepwise Deterministic Linkage.

Objective: To describe the process, benefits, and challenges of linking Arizona's prehospital registry to hospital discharge data. Methods: Data were queried from the Arizona Prehospital Information and Emergency Medical Services Registry System (AZ-PIERS) and the Arizona Hospital Discharge Database (HDD) for the calendar year 2015. To maximize the number of matched records, the databases were deterministically linked in 17 steps using different combinations/variations of patient personal identifiers. Random samples of at least 1% of matched pairs from each of 16 linkage steps (excluding Step 1) were manually reviewed to assess the rate of false positive matches. Results: A total of 626,413 records were reported to AZ-PIERS in 2015. Of those, 503,715 qualified for linkage. These records were matched against 3,125,689 discharge records reported to the HDD in 2015. The first step, which involved exact matching on first name, last name, date of birth, gender, and date of incident/date of admission, yielded a linkage of 64.6% (n = 325,156). The 16 successive steps yielded a further linkage of 26.6% (n = 134,006) for a total linkage of 91.2% (n = 459,162). The manual review indicated an overall false positive match rate for the 16 reviewed steps of 6.96% (n = 99). The 2 steps with the highest false positive match rates were Step 16 (43.02%, n = 77) and Step 17 (31.43%, n = 11). Conclusion: It is feasible to link prehospital and hospital data using stepwise deterministic linkage; this method returns a high linkage rate with a low false positive error rate. Data linkage is vital to identifying and bridging gaps in the continuum of care and is a useful tool in statewide and agency-specific research and quality improvement.

Delays in Coccidioidomycosis Diagnosis and Associated Healthcare Utilization, Tucson, Arizona, USA.

Tucson, Arizona, USA, is a highly coccidioidomycosis-endemic area. We conducted a retrospective review of 815 patients in Tucson over 2.7 years. Of 276 patients with coccidioidomycosis, 246 had a delay in diagnosis; median delay was 23 days. Diagnosis delay was associated with coccidioidomycosis-related costs totaling $589,053 and included extensive antibacterial drug use.

Spatial roost networks and resource selection of female wild turkeys.

Wildlife demography is influenced by behavioural decisions, with sleep being a crucial avian behaviour. Avian species use roost sites to minimize thermoregulation costs, predation risk and enhance foraging efficiency. Sleep locations are often reused, forming networks within the home range. Our study, focusing on female eastern wild turkeys (Meleagris gallopavo silvestris) during the reproductive season, used social network analysis to quantify both roost site selection and network structure. We identified roost networks which were composed of a small percentage of hub roost sites connecting satellite roosts. Hub roosts were characterized by greater values of betweenness (ß = 0.62, s.e. = 0.02), closeness (ß = 0.59, s.e. = 0.03) and eigenvalue centrality (ß = 1.15, s.e. = 0.05), indicating their importance as connectors and proximity to the network's functional centre. The probability of a roost being a hub increased significantly with greater eigenvalue centrality. Female wild turkeys consistently chose roost sites at lower elevations and with greater topographical ruggedness. Hub roost probability was higher near secondary roads and further from water. Our research highlights well-organized roost site networks around hub roosts, emphasizing the importance of further investigations into how these networks influence conspecific interactions, reproduction and resource utilization in wild turkeys.

Disparities in hepatocellular carcinoma incidence among Hispanic and non-Hispanic adults in Arizona: Trends between 2009-2017.

BACKGROUND: Hepatocellular carcinoma (HCC) is a highly lethal cancer with few treatment options available to patients. Most HCC cases in Arizona, a state with a high proportion of Hispanic adults, have not been included in recent reports of HCC incidence. This study describes trends in HCC incidence and stage at diagnosis among Arizona residents between 2009-2017 and reports on racial and ethnic disparities for these outcomes. METHODS: The Arizona Cancer Registry was used to identify Arizonans aged 19 or older diagnosed with liver cell carcinoma diagnosed between 2009-2017. A total of 5043 cases were examined. Adjusted annual and 3-year HCC incidence rates (per 100,000) were examined for non-Hispanic White (NHW) and Hispanic adults. RESULTS: The total age-adjusted HCC incidence rate increased significantly between 2009-2012 and then declined significantly between 2012-2017. Across nearly all years, age-adjusted HCC incidence in Hispanic adults was twice that of NHW adults. Hispanic adults were more likely to be diagnosed at a later stage across all time periods. The disparity in 3-year age-adjusted HCC incidence rate between NHW and Hispanic adults decreased between 2009-2017. CONCLUSION: Whe total age-adjusted HCC incidence rate increased significantly between 2009-2012 and then declined significantly between 2012-2017. Across nearly all years, age-adjusted HCC incidence in Hispanic adults was twice that of NHW adults. Hispanic adults were more likely to be diagnosed at a later stage across all time periods. The disparity in 3-year age-adjusted HCC incidence rate between NHW and Hispanic adults decreased between 2009-2017.

Differential effects of obesity on perioperative outcomes in renal cell carcinoma patients based on race and ethnicity and neighborhood-level socioeconomic status.

Background: Obesity is a well-established risk factor of renal cell carcinoma (RCC), however the impact of obesity on surgical outcomes for racial and ethnic minority patients with RCC is unclear. This study investigated whether a higher body mass index (BMI) or obesity (BMI ≥30 kg/m2) was associated with worse perioperative outcomes and if there were heterogeneous effects based on race, ethnicity, and neighborhood-level socioeconomic factor. Methods: In this single-center cross-sectional study, medical records of patients who underwent partial or radical nephrectomy between 2010 and 2022 were retrospectively reviewed. Logistic regression analysis was performed to assess associations of BMI and perioperative outcomes [ischemia time, estimated blood loss (EBL), and length of hospital stay]. Results: A total of 432 patients, including 49.8% non-Hispanic White (NHW), 35.0% Hispanic, and 6.9% American Indian (AI) patients, were included. Median [interquartile range (IQR)] BMI was 30.2 (26.3-35.2) kg/m2, and Hispanic (31.5) and AI (32.5) patients had higher median BMI than NHW (29.1) patients (P=0.006). Median ischemia time, EBL, and length of hospital stay were 18.5 (IQR, 15.0-22.4) minutes, 150 (IQR, 75.0-300.0) mL, and 3 (IQR, 2-5) days. BMI ≥35 kg/m2 was associated with a longer ischemia time [>18.5 minutes; odds ratio (OR), 5.17; 95% confidence interval (CI): 1.81-14.76; P=0.002], and the association was stronger in NHW than Hispanic patients (BMI continuous OR, 1.13; 95% CI: 1.04-1.22; P=0.004 in NHW and OR, 1.07; 95% CI: 0.98-1.17; P=0.12 in Hispanics). Class I and II/III obese patients had over two-fold increased odds of a larger EBL (>150 mL) than patients with normal weight (OR, 2.17; 95% CI: 1.03-4.59; P=0.04 for class I and OR, 2.24; 95% CI: 1.04-4.84; P=0.04 for class II/III obese patients). This association was stronger in patients from neighborhoods with high social deprivation index (SDI) and in NHW patients (BMI ≥30 vs. <30 kg/m2, OR, 3.53; 95% CI: 1.57-7.97; P=0.002 in high SDI neighborhoods and OR, 2.38; 95% CI: 1.10-5.14; P=0.03 in NHW). BMI was not associated with a longer hospital stay. Conclusions: In this study, obesity increased likelihood of worse perioperative outcomes, and the associations varied based on race and ethnicity and neighborhood-level socioeconomic factors.

Neighborhood social vulnerability and disparities in time to kidney cancer surgical treatment and survival in Arizona.

BACKGROUND: Hispanics and American Indians (AI) have high kidney cancer incidence and mortality rates in Arizona. This study assessed: (1) whether racial and ethnic minority patients and patients from neighborhoods with high social vulnerability index (SVI) experience a longer time to surgery after clinical diagnosis, and (2) whether time to surgery, race and ethnicity, and SVI are associated with upstaging to pT3/pT4, disease-free survival (DFS), and overall survival (OS). METHODS: Arizona Cancer Registry (2009-2018) kidney and renal pelvis cases (n = 4592) were analyzed using logistic regression models to assess longer time to surgery and upstaging. Cox-regression hazard models were used to test DFS and OS. RESULTS: Hispanic and AI patients with T1 tumors had a longer time to surgery than non-Hispanic White patients (median time of 56, 55, and 45 days, respectively). Living in neighborhoods with high (≥75) overall SVI increased odds of a longer time to surgery for cT1a (OR 1.54, 95% CI: 1.02-2.31) and cT2 (OR 2.32, 95% CI: 1.13-4.73). Race and ethnicity were not associated with time to surgery. Among cT1a patients, a longer time to surgery increased odds of upstaging to pT3/pT4 (OR 1.95, 95% CI: 0.99-3.84). A longer time to surgery was associated with PFS (HR 1.52, 95% CI: 1.17-1.99) and OS (HR 1.63, 95% CI: 1.26-2.11). Among patients with cT2 tumor, living in high SVI neighborhoods was associated with worse OS (HR 1.66, 95% CI: 1.07-2.57). CONCLUSIONS: High social vulnerability was associated with increased time to surgery and poor survival after surgery.

Habitat selection of Gould's wild turkeys in southeastern Arizona.

In semi-arid environments, resources necessary for survival may be unevenly distributed across the landscape. Gould's wild turkeys (Meleagris gallopavo mexicana) are spatially restricted to mountainous semi-arid areas of southwestern United States and Mexico, and information on their distribution and habitat use is limited. We described how landcover type and topographical features influenced space use and habitat selection by Gould's wild turkeys in southeastern Arizona. We used GPS data from 51 Gould's wild turkeys to describe resource selection during 2016-2017 in southeastern Arizona, USA. We estimated home ranges and calculated resource selection functions using distance from landcover types, slope, aspect, and elevation at used locations and random locations within individual home ranges. Gould's wild turkeys selected areas closer to pine forest and water. Likewise, Gould's wild turkeys selected locations with moderate elevations of 1641 ± 235 m (range = 1223-2971 m), and on north and west facing slopes with a 10° ± 8.5 (range = 0.0-67.4°) incline. Our findings suggest that conserving portions of the landscape with appropriate topography and landcover types as described above will promote habitat availability for Gould's wild turkeys.

Influence of weather on gobbling activity of male wild turkeys.

Gobbling activity of Eastern wild turkeys (Meleagris gallopavo silvestris; hereafter, turkeys) has been widely studied, focusing on drivers of daily variation. Weather variables are widely believed to influence gobbling activity, but results across studies are contradictory and often equivocal, leading to uncertainty in the relative contribution of weather variables to daily fluctuations in gobbling activity. Previous works relied on road-based auditory surveys to collect gobbling data, which limits data consistency, duration, and quantity due to logistical difficulties associated with human observers and restricted sampling frames. Development of new methods using autonomous recording units (ARUs) allows researchers to collect continuous data in more locations for longer periods of time, providing the opportunity to delve into factors influencing daily gobbling activity. We used ARUs from 1 March to 31 May to detail gobbling activity across multiple study sites in the southeastern United States during 2014-2018. We used state-space modeling to investigate the effects of weather variables on daily gobbling activity. Our findings suggest rainfall, greater wind speeds, and greater temperatures negatively affected gobbling activity, whereas increasing barometric pressure positively affected gobbling activity. Therefore, when using daily gobbling activity to make inferences relative to gobbling chronology, reproductive phenology, and hunting season frameworks, stakeholders should recognize and consider the potential influences of extended periods of inclement weather.

An asthma collaboration to reduce childhood asthma disparities on the Navajo Nation: Trial protocol for the Community Asthma Program.

Navajo children disproportionately experience poor asthma outcomes. Following a one-year community engagement period with key stakeholders from the Navajo Nation, the Community Asthma Program (CAP) was created using evidenced based programs with the goal of reducing asthma disparities among Navajo children. CAP is being evaluated with a six-year, multi-site step-wedge design in three Navajo communities: Tuba City, Chinle and Fort Defiance, Arizona. The primary outcome is asthma exacerbations defined as use of systemic oral corticosteroids, asthma hospitalizations, asthma related ED visits, and ICU admissions. Asthma exacerbations will be measured using data from the electronic medical records of the three community health care centers. Secondary outcomes include will changes in asthma-related events and asthma control. The RE-AIM ( R each and representativeness, 2) E ffectiveness, 3) A doption, 4) I mplementation, and 5) M aintenance) framework is being used to guide the implementation evaluation which includes iterative collection and analysis of process data to identify facilitators and barriers, describe relevant organizational contexts, and inform strategies for dissemination. The CAP intervention requires community engagement and participation, building community capacity, incorporating evidenced-based guidelines and practices while ensuring program strategies actively involve Navajo community members during all steps of the intervention. The outcome of this trial will allow us to determine the effectiveness of a multi-component, community-focused intervention to improve asthma in a tribal community.

Fine-scale movements and behaviors of coyotes (Canis latrans) during their reproductive period.

In canids, resident breeders hold territories but require different resources than transient individuals (i.e., dispersers), which may result in differential use of space, land cover, and food by residents and transients. In the southeastern United States, coyote (Canis latrans) reproduction occurs during spring and is energetically demanding for residents, but transients do not reproduce and therefore can exhibit feeding behaviors with lower energetic rewards. Hence, how coyotes behave in their environment likely differs between resident and transient coyotes. We captured and monitored 36 coyotes in Georgia during 2018-2019 and used data from 11 resident breeders, 12 predispersing residents (i.e., offspring of resident breeders), and 11 transients to determine space use, movements, and relationships between these behaviors and landcover characteristics. Average home range size for resident breeders and predispersing offspring was 20.7 ± 2.5 km² and 50.7 ± 10.0 km², respectively. Average size of transient ranges was 241.4 ± 114.5 km². Daily distance moved was 6.3 ± 3.0 km for resident males, 5.5 ± 2.7 km for resident females, and 6.9 ± 4.2 km for transients. We estimated first-passage time values to assess the scale at which coyotes respond to their environment, and used behavioral change-point analysis to determine that coyotes exhibited three behavioral states. We found notable differences between resident and transient coyotes in regard to how landcover characteristics influenced their behavioral states. Resident coyotes tended to select for areas with denser vegetation while resting and foraging, but for areas with less dense vegetation and canopy cover when walking. Transient coyotes selected areas closer to roads and with lower canopy cover while resting, but for areas farther from roads when foraging and walking. Our findings suggest that behaviors of both resident and transient coyotes are influenced by varying landcover characteristics, which could have implications for prey.

Addressing maternal and child health equity through a community health worker home visiting intervention to reduce low birth weight: retrospective quasi-experimental study of the Arizona Health Start Programme.

OBJECTIVE: To test if participation in the Health Start Programme, an Arizona statewide Community Health Worker (CHW) maternal and child health (MCH) home visiting programme, reduced rates of low birth weight (LBW), very LBW (VLBW), extremely LBW (ELBW) and preterm birth (PTB). DESIGN: Quasi-experimental retrospective study using propensity score matching of Health Start Programme enrolment data to state birth certificate records for years 2006-2016. SETTING: Arizona is uniquely racially and ethnically diverse with comparatively higher proportions of Latino and American Indian residents and a smaller proportion of African Americans. PARTICIPANTS: 7212 Health Start Programme mothers matched to non-participants based on demographic, socioeconomic and geographic characteristics, health conditions and previous birth experiences. INTERVENTION: A statewide CHW MCH home visiting programme. PRIMARY AND SECONDARY OUTCOME MEASURES: LBW, VLBW, ELBW and PTB. RESULTS: Using Health Start Programme's administrative data and birth certificate data from 2006 to 2016, we identified 7212 Health Start Programme participants and 53 948 matches. Programme participation is associated with decreases in adverse birth outcomes for most subgroups. Health Start participation is associated with statistically significant lower rates of LBW among American Indian women (38%; average treatment-on-the-treated effect (ATT): 2.30; 95% CI -4.07 to -0.53) and mothers with a pre-existing health risk (25%; ATT: -3.06; 95% CI -5.82 to -0.30). Among Latina mothers, Health Start Programme participation is associated with statistically significant lower rates of VLBW (36%; ATT: 0.35; 95% CI -0.69 to -0.01) and ELBW (62%; ATT: 0.31; 95% CI (-0.52 to -0.10)). Finally, Health Start Programme participation is associated with a statistically significant lower rate of PTB for teen mothers (30%; ATT: 2.81; 95% CI -4.71 to -0.91). Other results were not statistically significant. CONCLUSION: A state health department-operated MCH home visiting intervention that employs CHWs as the primary interventionist may contribute to the reduction of LBW, VLBW, ELBW and PTB and could improve birth outcomes statewide, especially among women and children at increased risk for MCH inequity.

Is the Affordable Care Act Medicaid Expansion Linked to Change in Rate of Ventricular Assist Device Implantation for Blacks and Whites?

BACKGROUND: The Affordable Care Act (ACA) has been associated with increased heart transplant listings among blacks, who are disproportionately uninsured. It is unclear whether the ACA is also associated with increased ventricular assist device implantation in blacks. METHODS: Using Healthcare Cost and Utilization Project Data State Inpatient Databases from 19 states and Washington DC, we analyzed 1157 patients from early-adopter states (ACA Medicaid expansion by January 2014) and 785 patients from nonadopter states (no implementation from 2013 to 2014). Piecewise Poisson regression with a discontinuity was used to estimate change in census-adjusted rates of ventricular assist device implants by race and ACA adopter status 1 year before and after January 2014. RESULTS: Following the ACA Medicaid expansion, the proportional change in rate increased significantly among blacks from early adopter (1.40 [95% CI, 1.12-1.75], pre 0.57/100 000 to post-ACA 0.80/100 000) but not nonadopter states (1.25 [95% CI, 0.98-1.58], pre 0.40/100 000 to post-ACA 0.50/100 000). However, the early and nonadopter changes in implantation rates were not statistically different from each other (P=0.50). There were no immediate changes in whites in either state group following the ACA Medicaid expansion (early adopter, 1.12 [95% CI, 0.98-1.29], pre 0.27/100 000 to post-ACA 0.30/100 000; nonadopter, 0.98 [95% CI, 0.82-1.16], pre 0.27/100 000 to post-ACA 0.26/100 000). CONCLUSIONS: Among eligible states participating in Healthcare Cost and Utilization Project Data State Inpatient Databases, the ACA was not associated with immediate changes in ventricular assist device implantation rates by race. Although a significant increase in implantation rate was observed among blacks from early-adopter states, the change was not statistically different from the change seen in nonadopter states.