Journal of Public Health Management and Practice最新文献

Context: In the early stages of the COVID-19 pandemic in New York City, individuals who tested positive, exposed contacts, and their families faced significant challenges in accessing essential resources for successful quarantine and isolation. These resources included alternative housing, food access, grocery delivery, missed wage assistance, transportation for household members, medical care, and more.

Program: The City University of New York (CUNY) Recovery Corps emerged as an innovative virtual resource navigation service to connect New Yorkers to essential resources and later to vaccinations, treatment, and services for Long COVID. The program prioritized reaching people living in underserved and under-resourced neighborhoods. Over 3 years, it made a substantial impact, reaching 374 728 New Yorkers and connecting 135 147 to crucial resources.

Implementation: Implementing a successful virtual navigation center amidst a global pandemic posed unique challenges. It required well-established systems to provide services, manage staff, build community, and both assure and improve service quality.

Evaluation: Continuous quality assurance and process improvement efforts resulted in a nearly 10-point increase in successful client-resource connections program-wide, with individual navigators showing improvements of up to 20%. Staff-led initiatives, such as population-specific resource guides and incentive awards, boosted morale and cohesion. Providing continuous professional development opportunities and requested training including trauma-informed care, self-care, and strategies for managing grief contributed to staff retention and improved client interactions.

Discussion: The CUNY Recovery Corps provides a blueprint for setting up navigation services for emergency response and supporting health and social services. The current paper delves into the intensive quality improvement efforts, program management infrastructure, and staff support that made this program a success. By applying these lessons on establishing and maintaining a virtual call center prioritizing the client's well-being and staff strengths, policymakers and social service leaders can effectively address various health and social service needs proactively rather than rebuilding after each disaster.

Introduction: Employees are often placed within an organization based on their respective roles or duties, which can lead to vertical and horizontal organizational silos. Organizational silos may restrict information, resources, and stymie progress and innovation. This analysis presents a framework to mitigate silos and overcome communication barriers within an organization by increasing collaboration.

Methods: The project team examined results from the Centers for Disease Control and Prevention (CDC), the National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) 2020 Employee Viewpoint Survey Results and conducted 19 key informant discussions with NCCDPHP employees. Participants were asked to provide feedback on (1) understanding silos in the workplace and (2) best practices for reducing silos and fostering collaboration. A thematic analysis was conducted to understand organizational silos, the motivation to reduce silos, and identify best practices and strategies.

Results: Respondents felt that siloing exists at the division and branch levels; however, 95% of respondents were motivated to reduce silos. Fifty-eight percent of respondents identified that institutional factors such as the organizational structure (n = 8) and red tape/bureaucracy (n = 3) contribute to siloing. Additional behaviors and actions that perpetuate silos were identified, and efforts to reduce silos were categorized to propose a model: Framework to Foster Collaboration for improving organizational collaborative efforts.

Discussion and conclusion: Key themes included inclusion, shared goals and vision, bi-directional communication, and relationship building and developing trust as critical elements for improving collaboration and creating synergy across teams in efforts to reduce silos in the workplace.

Context: Population health rankings can be a catalyst for the improvement of health by drawing attention to areas in need of relative improvement and summarizing complex information in a manner understood by almost everyone. However, ranks also have unintended consequences, such as being interpreted as "hard truths," where variations may not be significant. There is a need to improve communication about uncertainty in ranks, with accurate interpretation. The most common solutions discussed in the literature have included modeling approaches to minimize statistical noise or borrow strength from covariates. However, the use of complex models can limit communication and implementation, especially for broad audiences.

Objectives: Explore data-informed grouping (cluster analysis) as an easier-to-understand, empirical technique to account for rank imprecision that can be effectively communicated both numerically and visually.

Design: Cluster analysis, specifically k-means clustering with Wasserstein (earth mover's) distance, was explored as an approach to identify natural and meaningful groupings and gaps in the data distribution for the County Health Rankings' (CHR) health outcomes ranks.

Setting: County-level health outcomes from the 2022 CHR.

Participants: 3082 counties that were ranked in the 2022 CHR.

Main outcome measure: Data-informed health groups.

Results: Cluster analysis identified 30 health groupings among counties nationwide, with cluster size ranging from 9 to 184 counties. On average, states had 16 identified clusters, ranging from 3 in Delaware and Hawaii to 27 in Virginia. Number of clusters per state was associated with number of counties per state and population of the state. The method helped address many of the issues that arise from providing rank estimates alone.

Conclusions: Public health practitioners can use this information to understand uncertainty in ranks, visualize distances between county ranks, have context around which counties are not meaningfully different from one another, and compare county performance to peer counties.

This pilot study explores the utilization of the Overdose Detection Mapping Application Program (ODMAP) as a tool for enhancing collaboration between the public health and public safety sectors to address the overdose epidemic in the United States. Through qualitative interviews with ODMAP users, key themes emerged, including the role of data sharing in facilitating collaboration, challenges posed by divergent data privacy standards, and the need for clearer guidance on cross-sector data sharing. Findings highlight ODMAP's potential to integrate data for targeted interventions at individual and population levels. Future research directions include overcoming data sharing barriers, strategically utilizing data across sectors, and rigorously evaluating the impact of cross-sector partnerships on overdose morbidity and mortality. Overall, this study underscores the importance of ODMAP in fostering coordinated responses to the overdose crisis and provides valuable insights for improving overdose surveillance and intervention efforts.

The North Carolina Medical Society (NCMS) and American Medical Association (AMA) collaborated to support diabetes prevention efforts in North Carolina (NC) with a physician champion initiative focused on tracking and increasing referrals to the National Diabetes Prevention Program (DPP). Three focus areas to effectively engage and utilize physician champions included: (1) self-adoption within their practice, (2) engagement and outreach with other healthcare leaders, and (3) influence to peers and colleagues. Six NC physician champions were selected to support the work from January 2020 to January 2023. This resulted in increased outreach to physicians about Diabetes Free NC , increased materials/education for physicians on prediabetes identification and management, and 1943 referrals to the National DPP. This work can be further translated and applied to other states to aid prevention efforts. Physician champions' expertise coupled with adequate resources can allow them to play a key role in chronic disease prevention and management.

Context: Tobacco usage accounts for one of the most preventable causes of death.

Objective: This study aimed to explore mechanisms linking cigarette pack factors, point-of-sale marketing, and individual factors (psychological reactant trait) to predict smoking intention among school-going adolescents.

Design, setting, and participants: This was a cross-sectional study conducted among 6 urban secondary schools. A pretested and validated self-administered questionnaire was used. Data analysis for structural equation modeling was done using SMART-PLS v3.2.8.

Main outcome measure: The main outcome measure was to determine the direct and indirect effects of cigarette pack factors, point-of-sale marketing, and individual factors (psychological reactant trait) to predict smoking intention among school-going adolescents in a theory-based model.

Results: A total of 386 adolescents fulfilling the inclusion criteria participated. Pictorial warning message reactance (β = .153, P  ≤ .001), pack receptivity of conventional pack (β = .297, P  = .004), and psychological reactant trait (β = .174, P  ≤ .001) were positively related to smoking intention. Pictorial warning negative affect (β = -.153, P  = .001) was negatively related to smoking intention. The psychological reactant trait was positively related to message reactance (β = .340, P  ≤ .001). However, recall exposure to point-of-sale marketing and pack appraisal of conventional pack was not positively related to smoking intention (β = .038, P  = .22 and β = -.026, P  = .39, respectively). Pictorial warning message reactance also positively mediates the relationship between psychological reactant trait and smoking intention (β = 0.05, p = .001). The model has strong predictive power.

Conclusion: In conclusion, cigarette pack factors and psychological reactant traits are essential in predicting smoking intention. Hence, policymakers should consider these factors in developing smoking policies.

Objective: In April 2020, the US Centers for Disease Control and Prevention (CDC) recommended community masking to prevent the transmission of SARS-CoV-2. Since then, a total of 39 US states and DC issued mask mandates. Despite CDC recommendations and supporting evidence that masking reduces COVID-19 community transmission, from January to June 20, 2021 states lifted their mask mandates for all individuals. This study examined the association between lifting state-issued mask mandates and mask-wearing behavior in 2021.

Design: We estimated a difference-in-difference model, comparing changes in the likelihood for individuals to wear a mask in states that lifted their mask mandate relative to states that kept their mandates in place between February and June of 2021.

Setting: Individuals were surveyed from across the United States.

Participants: We used masking behavior data collected by the Porter Novelli View 360 + national surveys (N = 3459), and data from state-issued mask mandates obtained by CDC and the University of Nevada, Las Vegas.

Main outcomes: The outcome variable of interest was self-reported mask use during the 30 days prior to the survey data collection.

Results: In the overall population, lifting mask mandates did not significantly influence mask-wearing behavior. Mask wearing did significantly decrease in response to the lifting of mask mandates among individuals living in rural counties and individuals who had not yet decided whether they would receive a COVID-19 vaccine.

Conclusion: Policies around COVID-19 behavioral mitigation, specifically amongst those unsure about vaccination and in rural areas, may help reduce the transmission of COVID-19 and other respiratory viruses, especially in communities with low vaccination rates.

Objective: This analysis of governmental health educators from the 2021 Public Health Workforce Interest and Needs Survey (PH WINS) examines demographic and workplace characteristics, COVID-19 pandemic activities and beliefs, job satisfaction, training needs, mental health, and engagement in health equity.

Setting and participants: Participants were public health staff in public health agencies who completed the 2021 PH WINS.

Design and main outcome measures: Chi-square and means tests were used to compare job satisfaction, mental health status, training needs, and health equity concepts between health educators and other disciplines in the governmental public health workforce.

Results: Like PH WINS 2017 findings, health educators were significantly younger, more likely to be female, more diverse, and more likely to work in regional/local health departments than the national governmental public health workforce. About 70% of health educators played a role in responding to the pandemic. Only 46.1% of health educators rated their mental health as excellent or very good as compared to 48.2% of other disciplines. About 31% considered leaving the organization due to stress, unsatisfactory opportunities, and lack of mentoring. Health educators expressed the need for training in financial and change management. Both health educators and other governmental workers expressed high levels of awareness of and confidence in addressing social determinants of health and health equity, but less confidence in addressing environmental justice. Certified health education specialists (CHES(R)) were significantly more likely to be aware of concepts of health equity, social determinants of health (SDOH), and structural racism than non-CHES(R).

Conclusion: Overall, the training needs and job satisfaction of health educators changed little between the two surveys. However, COVID-19 had a significantly greater impact on their mental health status compared to other public health disciplines. They also are addressing racism in their communities and are more aware of health equity concepts than other public health disciplines. Implications for strengthening public health infrastructure, as well as recruitment/retention, professional preparation, and practice are provided.

Context: Federal law requires property owners to disclose the presence of known lead-based paint and/or lead hazards to potential home buyers and renters in homes built before 1978.

Objective: Using 2015-2016 randomized survey data, we measured lead and radon knowledge, awareness, and exposure avoidance practices.

Setting: Home buyers from 4 US states (Illinois, Minnesota, North Carolina, and Ohio).

Participants: 477 recent, single-family pre-1978 dwelling home buyers.

Main outcome measure(s): Predictors of the home buyer decision to purchase the home during the entire home buying experience based on their understanding of health issues related to lead-based paint and radon exposure.

Results: Personal networks (22%) and real estate agents (21%) were the most common sources of health-related lead information. Many home buyers (77%) reported that their awareness of lead did not affect their purchasing decision, and 78% could not confirm that their homes were tested for lead. Respondents who understood lead-related health effects were 5.4 times more likely (95% CI, 1.7-17.5) to have their decision to buy a home affected when their real estate agent discussed lead-based paint issues. Many home buyers reported either they did not remember (37%) or did not sign (20%) the federal law requirement that property owners reveal known lead paint hazards to prospective buyers before a property is sold. Home buyers with awareness of health issues caused by radon were 1.7 times (95% CI, 1.4-2.1) more likely than those who understood lead-related health issues to have their decision to buy the home affected.

Conclusion: Real estate agents play an important role to increase awareness of potential lead-based paint health issues when people buy older homes. Home buyer knowledge, awareness, and practice of radon exposure prevention was greater compared to lead exposure prevention. More than half of home buyers did not sign or remember signing lead disclosure paperwork.

The present study describes the efforts of a home visiting (HV) continuous quality improvement learning collaborative aimed at increasing father engagement in HV and parenting. Local implementing agencies (n   = 11) delivering 3 evidence-based HV models participated in the collaborative. Each agency developed and implemented 3 rapid-cycle Plan-Do-Study-Act (PDSA) projects to increase father engagement. Specific, Measurable, Achievable, Realistic, Time-bound (SMART) aims were used to guide development of change strategies and meaningful measurement goals. HV providers collected data from enrolled families (n   = 714) about fathers' level of parenting and HV involvement. Mean father engagement scores increased 39% from the first to the second assessment and over 60% of the PDSAs met or exceeded their SMART aim goal. Data suggest that fathers are open to participating in HV and are responsive to parenting guidance. In the current paper, we share engagement strategies and lessons learned during the collaborative.