Proactive Outreach for At-risk Health Plan Members During COVID-19 Pandemic in New Mexico.

OBJECTIVE: -Explore the impact of proactive outreach to a health plan population during COVID-19 pandemic in New Mexico. BACKGROUND: -By March 2020, the 2019 novel coronavirus (COVID-19) was a global pandemic, circulating in more than 114 countries. As more information about virus transmission, symptoms, and comorbidities were reported over time, recommendations for reducing the spread of the virus within communities was provided by leading health organizations like the Centers for Disease Control and Prevention (CDC). METHODS: -Criteria were developed to identify health plan members most at risk for virus complications. Once members were identified, a health plan representative contacted each member to inquire about member needs, questions, and provide them with resources. Members were then tracked for COVID-19 testing results and vaccination status. RESULTS: -Overall, 50,000+ members received an outreach call (during 8-month timeframe), and 26,000 calls were tracked for member outcomes. Over 50% of the outreach calls were answered by the health plan member. Of the members who were called, 1186 (4.4%) tested positive for COVID-19. Health plan members that could not be reached represented 55% of the positive cases. A chi-square test of the two populations (reached vs unable to reach) showed a significant difference in COVID-19 positive test results (N = 26,663, X2(1) = 16.33, P<0.01). CONCLUSIONS: -Community outreach was related to lower rates of COVID-19. Community connection is important, especially in tumultuous times, and proactive outreach to the community provides an opportunity for information sharing and community bonding.

Screening for opioid use disorder and co-occurring depression and post-traumatic stress disorder in primary care in New Mexico.

BACKGROUND: Identifying patients in primary care services with opioid use disorder and co-occurring mental health disorders is critical to providing treatment. Objectives of this study were to (1) assess the feasibility of recruiting people to screen in-person for opioid use disorder and co-occurring mental health disorders (depression and/or post-traumatic stress disorder) in primary care clinic waiting rooms in preparation for a randomized controlled trial, and (2) compare results of detecting these disorders by universal in-person screening compared to electronic health record (EHR) diagnoses. METHODS: This cross-sectional feasibility and pilot study recruited participants from four primary care clinics, two rural and two urban, from three health care organizations in New Mexico. Inclusion criteria were adults (≥ 18 years), attending one of the four clinics as a patient, and who spoke English or Spanish. Exclusion criteria were people attending the clinic for a non-primary care visit (e.g., dental, prescription pick up, social support). The main outcomes and measures were (1) recruitment feasibility which was assessed by frequencies and proportions of people approached and consented for in-person screening, and (2) relative differences of detecting opioid use disorder and co-occurring mental health disorders in waiting rooms relative to aggregate EHR data from each clinic, measured by prevalence and prevalence ratios. RESULTS: Over two-weeks, 1478 potential participants were approached and 1145 were consented and screened (77.5% of patients approached). Probable opioid use disorder and co-occurring mental health disorders were identified in 2.4% of those screened compared to 0.8% in EHR. Similarly, universal screening relative to EHR identified higher proportions of probable opioid use disorder (4.5% vs. 3.4%), depression (17.5% vs. 12.7%) and post-traumatic stress disorder (19.0% vs. 3.6%). CONCLUSIONS: Universal screening for opioid use disorder, depression, and post-traumatic stress disorder was feasible, and identified three times as many patients with these co-occurring disorders compared to EHR. Higher proportions of each condition were also identified, especially post-traumatic stress disorder. Results support that there are likely gaps in identification of these disorders in primary care services and demonstrate the need to better address the persistent public health problem of these co-occurring disorders.

How New Mexico Leveraged a COVID-19 Case Forecasting Model to Preemptively Address the Health Care Needs of the State: Quantitative Analysis.

BACKGROUND: Prior to the COVID-19 pandemic, US hospitals relied on static projections of future trends for long-term planning and were only beginning to consider forecasting methods for short-term planning of staffing and other resources. With the overwhelming burden imposed by COVID-19 on the health care system, an emergent need exists to accurately forecast hospitalization needs within an actionable timeframe. OBJECTIVE: Our goal was to leverage an existing COVID-19 case and death forecasting tool to generate the expected number of concurrent hospitalizations, occupied intensive care unit (ICU) beds, and in-use ventilators 1 day to 4 weeks in the future for New Mexico and each of its five health regions. METHODS: We developed a probabilistic model that took as input the number of new COVID-19 cases for New Mexico from Los Alamos National Laboratory's COVID-19 Forecasts Using Fast Evaluations and Estimation tool, and we used the model to estimate the number of new daily hospital admissions 4 weeks into the future based on current statewide hospitalization rates. The model estimated the number of new admissions that would require an ICU bed or use of a ventilator and then projected the individual lengths of hospital stays based on the resource need. By tracking the lengths of stay through time, we captured the projected simultaneous need for inpatient beds, ICU beds, and ventilators. We used a postprocessing method to adjust the forecasts based on the differences between prior forecasts and the subsequent observed data. Thus, we ensured that our forecasts could reflect a dynamically changing situation on the ground. RESULTS: Forecasts made between September 1 and December 9, 2020, showed variable accuracy across time, health care resource needs, and forecast horizon. Forecasts made in October, when new COVID-19 cases were steadily increasing, had an average accuracy error of 20.0%, while the error in forecasts made in September, a month with low COVID-19 activity, was 39.7%. Across health care use categories, state-level forecasts were more accurate than those at the regional level. Although the accuracy declined as the forecast was projected further into the future, the stated uncertainty of the prediction improved. Forecasts were within 5% of their stated uncertainty at the 50% and 90% prediction intervals at the 3- to 4-week forecast horizon for state-level inpatient and ICU needs. However, uncertainty intervals were too narrow for forecasts of state-level ventilator need and all regional health care resource needs. CONCLUSIONS: Real-time forecasting of the burden imposed by a spreading infectious disease is a crucial component of decision support during a public health emergency. Our proposed methodology demonstrated utility in providing near-term forecasts, particularly at the state level. This tool can aid other stakeholders as they face COVID-19 population impacts now and in the future.

Community-Clinical Linkages: The Effects of the Healthy Here Wellness Referral Center on Chronic Disease Indicators Among Underserved Populations in New Mexico.

The majority of U.S. adults are living with at least one chronic condition, and people of color bear a disproportionate burden of chronic disease. Prior research identifies community-clinical linkages (CCLs) as a strategy for improving health. CCLs traditionally use health care providers to connect patients to community-based self-management programs. The purpose of this study was to examine the effectiveness of a centralized CCL system on health indicators and health disparities. Administrative health data were merged with referral system data to conduct a quasi-experimental comparative time series study with a comparison group of nonreferred patients. Interrupted time-series comparisons within referred patients were also conducted. Of the 2,920 patients meeting inclusion criteria, 972 (33.3%) received a referral during the study period (January 2019-September 2021). Hemoglobin A1c levels, used to diagnose diabetes, declined significantly among referred patients, as did disparities among Hispanic/Latinx participants compared with non-Hispanic White participants. No changes were observed in body mass index (BMI). Blood pressure increased among both referred and nonreferred patients. CCLs with a centralized referral system can effectively reduce markers of diabetes and may contribute to the maintenance of BMI. The observed increase in blood pressure may have been affected by the COVID-19 pandemic and warrants further study. Practitioners can work with community partners to implement a centralized CCL model, either on its own or to enhance existing clinician or community health worker-based models.

Should I vote-by-mail or in person? The impact of COVID-19 risk factors and partisanship on vote mode decisions in the 2020 presidential election.

While the evidence is clear that 2020 voters shifted away from Election Day voting in favor of vote-by-mail and early voting, we know very little about how health risk versus party polarization around risk assessment influenced how and when to vote. We rely on individual-level observational data in the form of high-quality official voter administrative records from the State of New Mexico to ask how pandemic-related risk factors, especially voter age along with partisanship influenced voter decision-making. To identify causal factors, we use a difference-in-differences design and hazard model that compare 2020 general election and primary voter behavior to 2018 and 2016. We find that age and party were large factors in vote mode decisions in 2020, but not in 2016 or 2018. We consider the implications of our findings on how health risk and partisanship interact to influence decision-making.

Diné Navajo Resilience to the COVID-19 pandemic.

OBJECTIVE: To date, there are no studies of COVID-19 cases and deaths in the Navajo Nation, US. The primary objective of this manuscript is to understand whether counties with a higher proportion of Navajo (Diné) population also had higher cases and deaths of COVID-19 and whether these dropped with vaccination. METHOD: We undertook a cross-sectional analysis of county level data from March 16, 2020-May 11, 2021. Data were obtained from public repositories and the US Census for the Navajo Nation, including northeastern Arizona, southeastern Utah, and northwestern New Mexico. The primary outcome measure is the number of individuals with confirmed cases or deaths of COVID-19. A secondary outcome was COVID-19 vaccinations. RESULTS: The 11 counties in Navajo Nation have a wide variation in the percent Navajo population, the resources available (ICU beds and occupancy), and COVID-19 outcomes. Overall, there was a substantial increase in the number of cases from March 16 -July 16, 2020 (the height of the pandemic) with a doubling time of 10.12 days on Navajo Nation. The percent Navajo population was a strong predictor of COVID-19 cases and deaths per million population. COVID-19 vaccinations were inversely associated with COVID-19 cases and deaths in these counties. CONCLUSIONS: The COVID-19 pandemic on the Navajo Nation is a story of resilience. Navajo Nation was one of the hardest hit areas of the United States, with peak cases and deaths due to COVID-19. With an aggressive vaccination effort, these cases and deaths were strikingly curtailed, showing the resilience of the Navajo (Diné) people.

COVID-19 nightmare response and stress: A new Mexico sample based survey.

Studies conducted during the COVID-19 Pandemic have reported increased rates of mental illnesses including depression, anxiety, and post-traumatic stress disorder (PTSD) [1]. A common symptom of mental illness is change in Rapid Eye Movement (REM) sleep, the phase of sleep associated with dreaming and nightmares. The COVID-19 pandemic offers a unique opportunity to evaluate the effects of systemic stress on nightmares. In this study, we investigate whether the COVID-19 pandemic affects nightmare frequency and content using a web-based survey within the state of New Mexico. The survey returned 197 responses showing an increase in the quantity of both bad dreams and nightmares. Furthermore, significant changes in nightmare themes were reported compared to relative rates prior to the pandemic (RR 1,42, p < 0.01; RR 5, p < 0.001). This novel data supports that increased stress from the COVID-19 pandemic has altered dream and nightmare content and frequency.

The New Mexico Nursing Education Consortium: Fostering Innovative Education to Promote Health Equity.

With shortfalls of thousands of nurses throughout the United States, the need for nursing students to graduate and enter the workforce was critical even prior to the COVID-19 pandemic. Innovative nursing education models are needed to mitigate the staggering shortfall. For over 10 years, the New Mexico Nursing Education Consortium (NMNEC) has been recognized as a successful pathway for students to achieve nursing degrees. The NMNEC is a collaborative partnership between university and community college nursing programs who offer a common curriculum and share common academic policies. Students in the community college setting choose an associate degree program or a co-enrolled associate degree/bachelor of science in nursing program. The NMNEC currently includes 16 nursing program sites throughout the state. The development of the NMNEC including its infrastructure, leadership council, committees, and involvement of program directors has contributed to the strength. The outcomes of NMNEC's nursing graduates have been exceptional with strong progression and NCLEX pass percentages. Since NMNEC's inception, diversity and health equity have been strong components of the NMNEC model and curriculum. The NMNEC model provides equity to students at rural community colleges to achieve a bachelor of science degree while remaining in their home settings.

Wound Botulism Among Persons Who Inject Black Tar Heroin in New Mexico, 2016.

Outbreaks of wound botulism are rare, but clinicians and health departments should maintain suspicion for signs, symptoms, and risk factors of wound botulism among persons who inject drugs in order to initiate treatment quickly. This report describes an outbreak of three wound botulism cases among persons in two adjacent counties who injected drugs. Provisional information about these cases was previously published in the CDC National Botulism Surveillance Summary. All three cases in this outbreak were laboratory-confirmed, including one case with detection of botulinum toxin type A in a wound culture sample taken 43 days after last possible heroin exposure. Findings highlight the delay in diagnosis which led to prolonged hospitalization and the persistence of botulinum toxin in one patient.

Characteristics of Persons With Secondary Detection of Severe Acute Respiratory Syndrome Coronavirus 2 ≥90 days After First Detection, New Mexico 2020.

The New Mexico Department of Health (NMDOH) conducted a matched case-control study to compare 315 persons (cases) with and 945 persons (controls) without severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) secondary detection (ie, positive SARS-CoV-2 test ≥90 days after first detection as of December 10, 2020). Compared with controls, cases had greater odds of higher SARS-CoV-2 testing frequency (adjusted odds ratio [aOR] = 1.2), being female (aOR = 1.6), being non-Hispanic American Indian/Alaska Native (aOR = 2.3), having diabetes mellitus (aOR = 1.8), and residing and/or working in detention and/or correctional facilities (aOR = 4.7). Diagnostic tools evaluating infectiousness at secondary detection are urgently needed to inform infection control practices.

Federal Statutes and Environmental Justice in the Navajo Nation: The Case of Fracking in the Greater Chaco Region.

Arguing for the importance of robust public participation and meaningful Tribal consultation to address the cumulative impacts of federal projects, we bridge interdisciplinary perspectives across law, public health, and Indigenous studies. We focus on openings in existing federal law to involve Tribes and publics more meaningfully in resource management planning, while recognizing the limits of this involvement when only the federal government dictates the terms of participation and analysis. We first discuss challenges and opportunities for addressing cumulative impacts and environmental justice through 2 US federal statutes: the National Environmental Policy Act and the National Historic Preservation Act. Focusing on a major federal planning process involving fracking in the Greater Chaco region of northwestern New Mexico, we examine how the Department of the Interior attempted Tribal consultation during the COVID-19 pandemic. We also highlight local efforts to monitor Diné health and well-being. For Diné people, human health is inseparable from the health of the land. But in applying the primary legal tools for analyzing the effects of extraction across the Greater Chaco region, federal agencies fragment categories of impact that Diné people view holistically. (Am J Public Health. 2022;112(1):116-123. https://doi.org/10.2105/AJPH.2021.306562).

Nursing education: From classroom to computers - The New Mexico Nursing Education Consortium's collaborative problem-solving during the pandemic.

The COVID-19 pandemic created an upheaval for nursing faculty teaching students in both didactic and clinical settings. From the intense disruption, opportunities for creative endeavors emerged. Program directors from a consortium of 12 nursing schools met remotely for problem-solving and support. Rich text from minutes of nine program director meetings were analyzed. Aims of our project included identifying challenges that nurse educators encountered during the pandemic, demonstrating benefits of a university and community college partnership model, and informing nurse educators of innovative outcomes that originated from our project. Thematic analysis of meeting minutes revealed four categories: timing and urgency; collaboration, preparation, and teaching; altruism; and what we learned. Further themes were identified from each of the categories. Innovative outcomes were identified from the text including creation of website teaching resources and development of a computer based clinical checklist. Implications for future nursing education included that computer- based simulation will continue to be embedded in nursing curricula. Also, the need for nursing faculty to remain technologically savvy to deliver trailblazing online pedagogies will prominently continue. We conclude that the synergistic collaboration of nursing program directors can have momentous outcomes for support and success of nursing programs.

Southwest Harvest for Health: An Adapted Mentored Vegetable Gardening Intervention for Cancer Survivors.

Harvest for Health is a home-based vegetable gardening intervention that pairs cancer survivors with Master Gardeners from the Cooperative Extension System. Initially developed and tested in Alabama, the program was adapted for the different climate, growing conditions, and population in New Mexico. This paper chronicles the feasibility, acceptability, and preliminary efficacy of "Southwest Harvest for Health". During the nine-month single-arm trial, 30 cancer survivor-Master Gardener dyads worked together to establish and maintain three seasonal gardens. Primary outcomes were accrual, retention, and satisfaction. Secondary outcomes were vegetable and fruit (V and F) intake, physical activity, and quality of life. Recruitment was diverse and robust, with 30 survivors of various cancers, aged 50-83, roughly one-third minority, and two-thirds females enrolled in just 60 days. Despite challenges due to the COVID-19 pandemic, retention to the nine-month study was 100%, 93% reported "good-to-excellent" satisfaction, and 87% "would do it again." A median increase of 1.2 servings of V and F/day was documented. The adapted home-based vegetable gardening program was feasible, well-received, and resulted in increased V and F consumption among adult cancer survivors. Future studies are needed to evaluate the effectiveness of this program and to inform strategies to increase the successful implementation and further dissemination of this intervention.

Training Needs of Community Health Workers Facing the COVID-19 Pandemic in Texas: A Cross-Sectional Study.

The COVID-19 pandemic has required the professional healthcare workforce not only to adjust methods of delivering care safely but also act as a trusted sources of information during a time of uncertainty and rapid research and discovery. The Community Health Worker COVID-19 Impact Survey is a cross-sectional study developed to better understand the impact of COVID-19 on this sector of the healthcare workforce, including training needs of those working through the pandemic. The survey was distributed in Texas, New Mexico, and Arizona. This study focuses on Texas, and the data presented (n = 693) is a sub-set of qualitative data from the larger survey. Results of the content analysis described in this paper are intended to inform current COVID-19-related CHW training curriculum, in addition to future infectious disease prevention and preparedness response trainings.

Fewer Pharmacies In Black And Hispanic/Latino Neighborhoods Compared With White Or Diverse Neighborhoods, 2007-15.

The accessibility of pharmacies may be an overlooked contributor to persistent racial and ethnic disparities in the use of prescription medications and essential health care services within urban areas in the US. We examined the availability and geographic accessibility of pharmacies across neighborhoods based on their racial/ethnic composition in the thirty most populous US cities. In all cities examined, we found persistently fewer pharmacies located in Black and Hispanic/Latino neighborhoods than White or diverse neighborhoods throughout 2007-15. In 2015 there were disproportionately more pharmacy deserts in Black or Hispanic/Latino neighborhoods than in White or diverse neighborhoods, including those that are not federally designated Medically Underserved Areas. These disparities were most pronounced in Chicago, Illinois; Los Angeles, California; Baltimore, Maryland; Philadelphia, Pennsylvania; Milwaukee, Wisconsin; Dallas, Texas; Boston, Massachusetts; and Albuquerque, New Mexico. We also found that Black and Hispanic/Latino neighborhoods were more likely to experience pharmacy closures compared with other neighborhoods. Our findings suggest that efforts to increase access to medications and essential health care services, including in response to COVID-19, should consider policies that ensure equitable pharmacy accessibility across neighborhoods in US cities. Such efforts could include policies that encourage pharmacies to locate in pharmacy deserts, including increases to Medicaid and Medicare reimbursement rates for pharmacies most at risk for closure.

School Nursing in a Pandemic: Striving for Excellence in Santa Fe Public Schools.

When the COVID-19 (coronavirus disease 2019) pandemic led to school closures around the nation in March 2020, the role of the school nurse changed significantly, and it has continued to evolve as districts grapple with how to safely meet students' academic needs while also protecting the health of their communities. Nurses working for Santa Fe Public Schools in New Mexico have taken their new roles seriously and have been working closely with their district leaders, the New Mexico Department of Health, School Health Advocates, and the Public Education Department to facilitate evidence-based policies and procedures. Activities have included cohorting, contact tracing, resource development, education (of staff and families), planning and implementation of safety procedures, coordination of surveillance testing, and staff screening, along with finding new, COVID safe ways to provide standard school nursing services, including immunization administration, hearing and vision screening, teaching, and promoting wellness and mental health.

Indigenous Peoples, concentrated disadvantage, and income inequality in New Mexico: a ZIP code-level investigation of spatially varying associations between socioeconomic disadvantages and confirmed COVID-19 cases.

BACKGROUND: The coronavirus disease pandemic has disproportionately affected poor and racial/ethnic minority individuals and communities, especially Indigenous Peoples. The object of this study is to understand the spatially varying associations between socioeconomic disadvantages and the number of confirmed COVID-19 cases in New Mexico at the ZIP code level. METHODS: We constructed ZIP code-level data (n=372) using the 2014-2018 American Community Survey and COVID-19 data from the New Mexico Department of Health (as of 24 May 2020). The log-linear Poisson and geographically weighted Poisson regression are applied to model the number of confirmed COVID-19 cases (total population as the offset) in a ZIP code. RESULTS: The number of confirmed COVID-19 cases in a ZIP code is positively associated with socioeconomic disadvantages-specifically, the high levels of concentrated disadvantage and income inequality. It is also positively associated with the percentage of American Indian and Alaskan Native populations, net of other potential confounders at the ZIP code level. Importantly, these associations are spatially varying in that some ZIP codes suffer more from concentrated disadvantage than others. CONCLUSIONS: Additional attention for COVID-19 mitigation effort should focus on areas with higher levels of concentrated disadvantage, income inequality, and higher percentage of American Indian and Alaska Native populations as these areas have higher incidence of COVID-19. The findings also highlight the importance of plumbing in all households for access to clean and safe water, and the dissemination of educational materials aimed at COVID-19 prevention in non-English language including Indigenous languages.