Public Health Reports最新文献

After a tumultuous 3 years of pandemic-, political-, and race-related unrest in the United States, the public is demanding accountability to communities of color (defined here as American Indian/Alaska Native, Asian, Black, Native Hawaiian/Pacific Islander, and Hispanic people) to rectify historic and contemporary injustices that perpetuate health inequities and threaten public health. Structural racism pervades all major societal systems and exposes people to detrimental social determinants of health. Disrupting structural racism within public health systems is essential to advancing health equity and requires organized partnerships between health departments and community leaders. As those who are most affected by structural racism, communities of color are the experts in knowing its impacts. This case study describes the King County Pandemic and Racism Community Advisory Group (PARCAG) and its use of an innovative accountability tool. The tool facilitated institutional transparency and accountability in the adoption of community recommendations. PARCAG was influential in shaping Public Health-Seattle & King County's COVID-19 and antiracism work, with 66 of 75 (88%) recommendations adopted partially or fully. For example, a fully adopted recommendation in May 2020 was to report King County COVID-19 case data by race and ethnicity, and a partially adopted recommendation was to translate COVID-19 information into additional languages. PARCAG members were recruited from a 2019 advisory board on Census 2020 and were adept at shifting to advising on COVID-19 and equitable practices and policies. Organizations that have made declarations that racism is a public health crisis should center the experiences, expertise, and leadership of communities of color in accountable ways when developing and implementing strategies to disrupt and repair the effects of structural racism and efforts to promote and protect public health.

Objectives: More than 3300 rural Alaska Native homes lack piped water, impeding hand hygiene. During the COVID-19 pandemic, the Alaska Native Tribal Health Consortium and the Centers for Disease Control and Prevention partnered with 10 Tribal communities and regional Tribal health organizations to install a low-cost, intermediate-technology water and sanitation system, the Miniature Portable Alternative Sanitation System (Mini-PASS). We assessed the impact of the Mini-PASS handwashing station on handwashing, other water-related uses, and problems encountered over time.

Methods: In this pre-postintervention study, we conducted semi-structured interviews by telephone seasonally with representatives of 71 households with the Mini-PASS from February 2021 through November 2022 to assess the impact of the units on water use and health.

Results: Before Mini-PASS installation, all participating households primarily used washbasins for handwashing. Postintervention, more than 70% of households reported using the Mini-PASS as their primary handwashing method in all 3 follow-up intervals (3, 6-9, and 12 months postintervention). The proportion of households using the handwashing station for other household tasks increased during 12 months, from 51.4% (19 of 37) at 3 months postintervention to 77.8% (21 of 27) at 12 months postintervention. Although approximately 20% to 40% of households reported problems with their handwashing station during the 12 months postintervention, a large proportion of interviewees (47% to 60%) said they were able to conduct repairs themselves.

Conclusions: Households in rural Alaska quickly adopted the Mini-PASS for hand hygiene and other needs and were largely able to troubleshoot problems themselves. Further research evaluating the impact of improved handwashing behaviors facilitated by the Mini-PASS should be conducted.

Objectives: Block grant funding provides federal financial support to states, with increased flexibility as to how those funds can be allocated at the community level. At the state level, block grant amounts and distributions are often based on outdated formulas that consider population measures and funding environments at the time of their creation. We describe variation in state-level funding allocations for 5 federal block grant programs and the extent to which funding aligns with the current needs of state populations.

Methods: We conducted an analysis in 2022 of state block grant allocations as a function of state-level characteristics for 2015-2019 for all 50 states. We provide descriptive statistics of state block grant allocations and multivariate regression models for each program. Models include base characteristics relevant across programs plus supplemental characteristics based on program-specific goals and state population needs.

Results: Mean state block grant allocations per 1000 population by program ranged from $618 to $21 528 during 2015-2019. Characteristics associated with state allocations varied across block grants. For example, for every 1-percentage-point increase in the percentage of the population living in nonmetropolitan areas, Preventive Health and Health Services Block Grant funding was approximately $7 per 1000 population higher and Community Services Block Grant funding was approximately $40 per 1000 population higher. Few supplemental characteristics were associated with allocations.

Conclusions: Current block grant funding does not align with state characteristics and needs. Future research should consider how funds are used at the state level or allocated to local agencies or organizations and compare state block grant allocations with other types of funding mechanisms, such as categorical funding.

Objectives: A need persists for graduates with public health training in government public health roles; however, earnings for these positions tend to be lower when compared with earnings for people with undergraduate or graduate training who are working in other sectors, such as private health care or pharmaceuticals. This study assessed federal student loan debt associated with education for public health, with an aim to quantify the need that may be met through the federal Public Health Workforce Loan Repayment Program (PHWLRP), which is one tool that policy makers have proposed to incentivize people with public health training to pursue employment in government public health.

Methods: We analyzed federal student loan data provided by the National Center for Education Statistics College Scorecard for the 2018-2019 academic year. We merged these data with the Integrated Postsecondary Education Data System to estimate the number of degrees awarded. We used Spearman rank correlation to compare associations between debt and annual earnings by award level (bachelor's, master's, and doctoral degrees).

Results: Across all award levels, the median level of federal student loan debt associated with education for public health was $33 366. The median annual earnings 1 year after graduation were $80 687 for graduates with doctoral degrees and $33 279 for graduates with bachelor's degrees.

Conclusions: As policy makers attempt to strengthen the public health workforce with a focus on funding and implementing the PHWLRP, the existing levels of student debt should be considered to ensure that programs such as the PHWLRP are funded and reflect the needs of graduates and government public health employers.

Introduction: The COVID-19 pandemic highlighted the need for a nationwide health information technology solution that could improve upon manual case reporting and decrease the clinical and administrative burden on the US health care system. We describe the development, implementation, and nationwide expansion of electronic case reporting (eCR), including its effect on public health surveillance and pandemic readiness.

Methods: Multidisciplinary teams developed and implemented a standards-based, shared, scalable, and interoperable eCR infrastructure during 2014-2020. From January 27, 2020, to January 7, 2023, the team conducted a nationwide scale-up effort and determined the number of eCR-capable electronic health record (EHR) products, the number of reportable conditions available within the infrastructure, and technical connections of health care organizations (HCOs) and jurisdictional public health agencies (PHAs) to the eCR infrastructure. The team also conducted data quality studies to determine whether HCOs were discontinuing manual case reporting and early results of eCR timeliness.

Results: During the study period, the number of eCR-capable EHR products developed or in development increased 11-fold (from 3 to 33), the number of reportable conditions available increased 28-fold (from 6 to 173), the number of HCOs connected to the eCR infrastructure increased 143-fold (from 153 to 22 000), and the number of jurisdictional PHAs connected to the eCR infrastructure increased 2.75-fold (from 24 to 66). Data quality reviews with PHAs resulted in select HCOs discontinuing manual case reporting and using eCR-exclusive case reporting in 13 PHA jurisdictions. The timeliness of eCR was <1 minute.

Practice implications: The growth of eCR can revolutionize public health case surveillance by producing data that are more timely and complete than manual case reporting while reducing reporting burden.

Objectives: State, local, and federal agencies have expanded efforts to address the root causes of overdoses, including health inequity and related social determinants of health. As an Overdose Data to Action (OD2A) technical assistance provider, the Association of State and Territorial Health Officials (ASTHO) conducted the first national needs assessment to understand capacity and technical assistance needs of OD2A jurisdictions in advancing health equity.

Methods: ASTHO designed and disseminated the OD2A Recipient Health Equity Needs Assessment (RHENA) to 66 OD2A-funded jurisdictions from February to March 2022. OD2A principal investigators and staff were contacted via email and asked to complete the needs assessment within 6 weeks. One coder manually coded open-ended responses, conducted a thematic analysis on the qualitative data, and performed a simple frequency analysis on the quantitative data.

Results: Fifty-two jurisdictions (78.8%) responded, including 36 states, 12 cities/counties, and 2 territories. Most jurisdictions (n = 46; 88.5%) reported having a formal or informal health equity lead in place. Common barriers included a lack of access to data sources (n = 37; 71.2%), lack of partnerships (n = 20; 38.5%), and lack of funding (n = 14; 26.9%). Respondents reported needing more information sharing among jurisdictions and partner organizations, coaching on best practices, and routine discussions such as peer-to-peer learning sessions.

Conclusion: Findings suggest that gaps remain in programmatic policies and principles to address inequities in overdose prevention. Results are being used to identify additional technical assistance opportunities, jurisdictional capacity, and approaches to advance health equity.

Objectives: Lack of access to timely, accurate, and linguistically appropriate COVID-19 information has complicated the dissemination of evidence-based information and contributed to vaccine hesitancy among racial and ethnic minority groups in the United States. We developed community events that provided outreach, education, and access to COVID-19 vaccination to overcome vaccine hesitancy in these communities.

Methods: Using spatial analysis techniques, we identified 3 communities with low vaccine uptake in Houston, Texas, in fall 2021; engaged 20 stakeholders from these communities via 4 focus groups to understand barriers to vaccination; and developed and implemented 3 COVID-19 vaccine education and outreach events tailored to the needs of these communities in January-March 2022. We used program evaluation surveys to assess attendee characteristics and satisfaction with the events. Vaccinated attendees also completed surveys on what motivated them to get vaccinated.

Results: Two communities were predominantly Hispanic, and the third had an equal number of Black and Hispanic residents. Based on community stakeholder input, the study team organized 2 health fairs and 1 community festival featuring dialogue-based COVID-19 vaccine engagement in January and March 2022. Across the 3 events, a total of 865 attendees received COVID-19 education and 205 (24.0%) attendees received a COVID-19 vaccine or booster. Of 90 attendees who completed program evaluation surveys, 81 (90%) rated the outreach event as good or excellent. Of 145 attendees who completed postvaccination surveys, 132 (91%) endorsed ≥1 key program feature as motivating them to either get vaccinated or vaccinate their child that day.

Conclusion: Community outreach events are important strategies for disseminating information, building trust, and facilitating COVID-19 vaccine uptake.

Objectives: Treating gender identity as a fixed characteristic may contribute to considerable misclassification and hinder accurate characterization of health inequities and the design of effective preventive interventions for transgender and gender diverse (TGD) adolescents and young adults. We examined changes in how an ethnically and racially diverse sample of TGD adolescents and young adults reported their gender identity over time, the implications of this fluidity on public health, and the potential effects of misclassification of gender identity.

Methods: We recruited 235 TGD adolescents and young adults (aged 15-24 y) in Los Angeles, California, and New Orleans, Louisiana, from May 2017 through August 2019 to participate in an HIV intervention study. We asked participants to self-report their gender identity and sex assigned at birth every 4 months for 24 months. We used a quantitative content analysis framework to catalog changes in responses over time and classified the changes into 3 main patterns: consistent, fluctuating, and moving in 1 direction. We then calculated the distribution of gender identity labels at baseline (initial assessment) and 12 and 24 months and described the overall sample by age, race, ethnicity, and study site.

Results: Of 235 TGD participants, 162 (69%) were from Los Angeles, 89 (38%) were Latinx, and 80 (34%) were non-Latinx Black or African American. Changes in self-reported gender identity were common (n = 181; 77%); in fact, 39 (17%) changed gender identities more than twice. More than 50% (n = 131; 56%) showed a fluctuating pattern.

Conclusions: Gender identity labels varied over time, suggesting that misclassification may occur if data from a single time point are used to define gender identity. Our study lays the foundation for launching studies to elucidate the associations between shifting gender identities and health outcomes.