An Analysis of Local Health Departments' Responsiveness to Community Segregation in Their Efforts to Address Health Disparities.

Recent studies have found that racial health disparities are a direct result of the residential segregation, racial differences in socioeconomic status, health care access, and other social determinants of health that affect segregated minority groups. This study analyzed local health departments' (LHDs') efforts to decrease health disparities in their communities by using negative binomial regression models to examine the relationship between residential segregation and LHD health disparity activity engagement from the 2016 National Profile of LHDs-National Association of County & City Health Officials (NACCHO) and the 2017 County Health Rankings (CHRs). Significant associations were found between the incident rate ratios of activities performed by LHDs and the nonwhite/white residential segregation index, use of CHRs, LHD governance, per capita expenditures, and race of LHD top executive. The findings will help improvement in collaborative efforts between community agencies and LHDs in order to improve health disparity responsiveness.

The Use of Penalized Regression Analysis to Identify County-Level Demographic and Socioeconomic Variables Predictive of Increased COVID-19 Cumulative Case Rates in the State of Georgia.

Systemic inequity concerning the social determinants of health has been known to affect morbidity and mortality for decades. Significant attention has focused on the individual-level demographic and co-morbid factors associated with rates and mortality of COVID-19. However, less attention has been given to the county-level social determinants of health that are the main drivers of health inequities. To identify the degree to which social determinants of health predict COVID-19 cumulative case rates at the county-level in Georgia, we performed a sequential, cross-sectional ecologic analysis using a diverse set of socioeconomic and demographic variables. Lasso regression was used to identify variables from collinear groups. Twelve variables correlated to cumulative case rates (for cases reported by 1 August 2020) with an adjusted r squared of 0.4525. As time progressed in the pandemic, correlation of demographic and socioeconomic factors to cumulative case rates increased, as did number of variables selected. Findings indicate the social determinants of health and demographic factors continue to predict case rates of COVID-19 at the county-level as the pandemic evolves. This research contributes to the growing body of evidence that health disparities continue to widen, disproportionality affecting vulnerable populations.

Local Boards of Health as Linkages Between Local Health Departments and Health Care and Other Community Organizations.

INTRODUCTION: Efficient provision of essential public health services may be influenced by collaborative capacity of local health departments (LHDs). Local boards of health (LBoHs) are well positioned to facilitate partnerships. OBJECTIVES: We examined the degree to which LBoHs serve as a linkage between LHDs and 2 types of community organizations, health care providers and local government agencies, and the LBoH characteristics associated with tendency of LBoHs to perform such linkage function. METHODS: We analyzed data from a recent cross-sectional survey, the 2015 National Survey of Local Boards of Health. This survey used a probability sample of 685 LHDs stratified by the state of LHD location and the population size of LHD jurisdiction, resulting in 394 responses for a response rate of 58%. We used multivariate logistic regression to pursue the study objectives. RESULTS: LHD respondents reported that LBoHs served as a linkage with hospitals or other health care providers for 20% of LHDs and with local government agencies for 19% of LHDs. Significant association of LBoHs' performance of governance functions existed with their chances of linking LHDs with hospitals or other health care providers (adjusted odds ratio [AOR] = 1.25; P < .001) and with local government agencies (AOR = 1.23; P < .001). Among the factors associated with LBoHs serving as the linkage, the governance function oversight was the strongest, followed by governance functions policy development, continuous improvement, and resource stewardship. Legal authority had weakest association with both types of linkages. A strong positive association existed between LBoHs seeking community input from elected officials and LBoHs' tendency of serving as the linkage with both health care providers and local government agencies. CONCLUSIONS: The role of LBoHs in linking with hospitals, other health care providers, and government agencies could be further maximized, particularly given the high proportion of LBoHs that include members who are health care professionals.

Impact of Local Boards of Health on Local Health Department Accreditation, Community Health Assessment, Community Health Improvement Planning, and Strategic Planning.

INTRODUCTION: Local health departments (LHDs) are increasingly using national standards to meet the challenges presented by the complex environments in which these agencies operate. Local boards of health (LBoHs) might play an instrumental role in improving LHDs' engagement in activities to meet these standards. OBJECTIVES: To assess the impact of LBoH performance of governance functions on LHDs having a current (completed within 5 years) community health assessment (CHA), community health improvement plan (CHIP), strategic plan, and level of engagement in the Public Health Accreditation Board (PHAB) accreditation program. METHODS: Binary and multinomial logistic regression models were used to analyze linked data from 329 LHDs participating in both the 2015 Local Board of Health Survey and the 2016 National Profile of LHDs Survey. RESULTS: Higher performance of LBoH governance functions, measured by an overall scale of LBoH taxonomy consisting of 60 items, had a significant positive effect on LHDs having completed CHA (P < .001), CHIP (P = .01), and strategic plan (P < .001). LHDs operating in communities with a higher score on the overall scale of LBoH taxonomy had significantly higher odds (P = .03) of having higher level of participation in the PHAB national voluntary accreditation program-that is, being accredited, having submitted application for accreditation, or being in the e-PHAB system (eg, by submitting a letter of intent). CONCLUSIONS: LBoHs serve as governance bodies for roughly 71% of LHDs and can play a significant role in encouraging LHDs' participation in these practices. That positive influence of LBoHs can be seen more clearly if the complexity and richness of LBoH governance functions and other characteristics are measured appropriately. The study findings suggest that LBoHs are a significant component of the public health system in the United States, having positive influence on LHDs having a CHA, CHIP, strategic plan, and participation in accreditation.

Adopting YouTube to Promote Health: Analysis of State Health Departments.

INTRODUCTION: We describe videos posted to the YouTube video-sharing Web site by US state health departments (SHDs) and associated institutional factors. METHODS: YouTube channels from SHDs were identified, their data retrieved, and their videos saved to a playlist on January 10, 2016. Ten randomly sampled videos from each channel were manually coded for topics. The 2012 Association of State and Territorial Health Officials profile survey was used to obtain information on staff, expenditure, and top 5 priorities for each SHD. Descriptive statistics and univariable regression were conducted. RESULTS: Forty-three SHDs had YouTube channels. Together, all SHDs posted 3957 videos, accumulated 12,151,720 views, and gained 6302 subscribers. In total, 415 videos were manually coded. Information about the agency (17.6%), communicable diseases (12.5%), and mother/infant health (8.9%) comprised the largest share of topics. No statistically significant association was observed between the log-transformed number of videos posted on an SHD's YouTube channel and any of the explanatory variables of SHD staffing and expenditure in 2011. The number of full-time employees (r = 0.34, p = 0.03), number of epidemiologists and biostatisticians (r = 0.41, p = 0.01), and 2011 total year expenditure (r = 0.38, p = 0.02) were positively correlated with the log-transformed number of views per YouTube video posted by SHDs. No meaningful patterns of statistical association were observed between the percentage of expenditure on a specific program area and the topics of videos. CONCLUSION: Most SHDs are using YouTube, which provides a unique opportunity for SHDs to disseminate health messages.

Employee Perceptions About Public Health Agencies' Desired Involvement in Impacting Health Equity and Other Social Determinants of Health.

CONTEXT: Despite a growing consensus in public health to address health inequities and leverage social determinants of health (SDoH), the level of public health practitioners' readiness to become the agents of change in promoting health equity and shaping SDoH is not well researched. OBJECTIVES: To examine (1) the level of public health agency employees' perceived desirability for impacting health equity and SDoH, and (2) the impact of employee characteristics such as a (PH WINS) public health degree and awareness of health in all policies on such desirability. METHODS: Data from the 2017 Public Health Workforce Interests and Needs Survey were used in examining the sense of desirability among agency employees for affecting health equity and SDoH in the agency jurisdictions. RESULTS: Fifty-seven percent of health agency employees believed that their agencies should be very involved in affecting health equity in their jurisdictions. Fairly smaller proportions of employees believed in the desirability of affecting SDoH, and the proportions who believed that the agency should be very involved in affecting specific SDoH were 17.8% for affecting the quality of transportation, 18.5% for affecting the economy, 22.2% for quality of housing, 22.4% for quality of the built environment, 25.4% for K-12 education system, and 34.5% for impacting the quality of social support systems. Agency employees without a public health degree had significantly lower odds (P < .05) of believing that the agency should be very involved in affecting health equity. CONCLUSIONS: With increasing efforts to reduce health inequities and leverage SDoH for improved population health, gaps exist in the public health workforce's perceived desirability for their agencies to be involved in such efforts. These gaps exist among employees regardless of their demographic characteristics, length of tenure, or agency setting. Policy and practice initiatives aimed to improve health equity might benefit from our findings positing a need for education regarding SDoH and health equity. Our study findings imply the need for interventions for improving alignment between employee beliefs and organizational priorities for an effective transformation to Public Health 3.0. Fostering cross-sector partnerships with a focus on Health in All Policies (HiAP), SDoH, and health equity must be a high priority for public health agencies, which can be formalized through organizational strategic plans.

Local Health Departments' Engagement in Addressing Health Disparities: The Effect of Health Informatics.

CONTEXT: Health disparities and health inequities can lead to poor health outcomes. However, health disparities continue to persist in communities across the United States, presenting a crucial public health challenge. Persisting budget cuts and workforce challenges tend to hinder local health departments' (LHDs') ability to assess and address health disparities. OBJECTIVES: To examine the extent to which LHDs' use of informatics effects their engagement in strategies and activities addressing health disparities. METHODS: Data from the 2016 Profile of LHDs were used in examining the association of informatics with 9 activities addressing health disparities/inequities. RESULTS: Fifty-nine percent of LHDs used data and described health disparities in their jurisdiction, and 12% conducted original research to link health disparities to differences in social or environmental conditions. Less than 40% of LHDs prioritized resources for the reduction of health disparities. LHDs that implemented information systems had increased odds of describing the disparities in their jurisdiction (P < .01) and having prioritized resources for the reduction of disparities (P < .01). Per capita expenditures, participation in a national accreditation program process, and a larger LHD population were also positively associated with 7 of 9 activities for addressing health disparities/inequities. CONCLUSIONS: As LHDs advance efforts to reduce health disparities and inequities, leadership will find informatics a useful strategy. National initiatives aimed to boost LHDs' engagement in the reduction of disparities might benefit from our findings, positing a positive influence of informatics.

Data, Staff, and Money: Leadership Reflections on the Future of Public Health Informatics.

CONTEXT: Health informatics can play a critical role in supporting local health departments' (LHDs') delivery of certain essential public health services and improving evidence base for decision support. However, LHDs' informatics capacities are below an optimum level. Efforts to build such capacities face ongoing challenges. Moreover, little is known about LHD leaders' desires for the future of public health informatics. OBJECTIVES: Conduct a qualitative analysis of LHDs' future informatics plans, perceived barriers to accomplishing those plans, and potential impact of future advances in public health informatics on the work of the public health enterprise. METHODS: This research presents findings from 49 in-depth key informant interviews with public health leaders and informatics professionals from LHDs, representing insights from across the United States. Interviewees were selected on the basis of the size of the population their LHD serves, as well as level of informatics capacity. Interviews were transcribed, verified, and double coded. RESULTS: Major barriers to doing more with informatics included staff capacity and training, financial constraints, dependency on state health agency, and small LHD size/lack of regionalization. When asked about the role of leadership in expanding informatics, interviewees said that leaders could make it a priority through (1) learning more about informatics and (2) creating appropriate budgets for integrated information systems. Local health department leaders said that they desired data that were timely and geographically specific. In addition, LHD leaders said that they desired greater access to clinical data, especially around chronic disease indicators. CONCLUSIONS: Local health department leadership desires to have timely or even real-time data. Local health departments have a great potential to benefit from informatics, particularly electronic health records in advancing their administrative practices and service delivery, but financial and human capital represents the largest barrier. Interoperability of public health systems is highly desirable but hardly achievable in the presence of such barriers.

Electronic Health Records and Meaningful Use in Local Health Departments: Updates From the 2015 NACCHO Informatics Assessment Survey.

BACKGROUND: Electronic health records (EHRs) are evolving the scope of operations, practices, and outcomes of population health in the United States. Local health departments (LHDs) need adequate health informatics capacities to handle the quantity and quality of population health data. PURPOSE: The purpose of this study was to gain an updated view using the most recent data to identify the primary storage of clinical data, status of data for meaningful use, and characteristics associated with the implementation of EHRs in LHDs. METHODS: Data were drawn from the 2015 Informatics Capacity and Needs Assessment Survey, which used a stratified random sampling design of LHD populations. Oversampling of larger LHDs was conducted and sampling weights were applied. Data were analyzed using descriptive statistics and logistic regression in SPSS. RESULTS: Forty-two percent of LHDs indicated the use of an EHR system compared with 58% that use a non-EHR system for the storage of primary health data. Seventy-one percent of LHDs had reviewed some or all of the current systems to determine whether they needed to be improved or replaced, whereas only 6% formally conducted a readiness assessment for health information exchange. Twenty-seven percent of the LHDs had conducted informatics training within the past 12 months. LHD characteristics statistically associated with having an EHR system were having state or centralized governance, not having created a strategic plan related to informatics within the past 2 years throughout LHDs, provided informatics training in the past 12 months, and various levels of control over decisions regarding hardware allocation or acquisition, software selection, software support, and information technology budget allocation. CONCLUSION: A focus on EHR implementation in public health is pertinent to examining the impact of public health programming and interventions for the positive change in population health.

Control of the Public Health IT Physical Infrastructure: Findings From the 2015 Informatics Capacity and Needs Assessment Survey.

BACKGROUND: Despite improvements in information technology (IT) infrastructure in public health, there is still much that can be done to improve the adoption of IT in state and local health departments, by better understanding the impact of governance and control structures of physical infrastructure. OBJECTIVE: To report out the current status of the physical infrastructure control of local health departments (LHDs) and to determine whether there is a significant association between an LHD's governance status and control of the physical infrastructure components. DESIGN: Data came from the 2015 Informatics Capacity and Needs Assessment Survey, conducted by Georgia Southern University in collaboration with the National Association of County and City Health Officials. PARTICIPANTS: A total of 324 LHDs from all 50 states completed the survey (response rate: 50%). MAIN OUTCOME MEASURE(S): Outcome measures included control of LHD physical infrastructure components. Predictors of interest included LHD governance category. RESULTS: The majority of the control of the physical infrastructure components in LHDs resides in external entities. The type of governance structure of the LHD is significantly associated with the control of infrastructure. CONCLUSIONS: Additional research is needed to determine best practices in IT governance and control of physical infrastructure for public health.

Public Health Staff Development Needs in Informatics: Findings From a National Survey of Local Health Departments.

CONTEXT: Public health practice is information-intensive and information-driven. Public health informatics is a nascent discipline, and most public health practitioners lack necessary skills in this area. OBJECTIVE: To describe the staff development needs of local health departments (LHDs) related to informatics. DESIGN: Data came from the 2015 Informatics Capacity and Needs Assessment Survey, conducted by Georgia Southern University in collaboration with the National Association of County & City Health Officials. PARTICIPANTS: A total of 324 LHDs from all 50 states completed the survey (response rate: 50%). MAIN OUTCOME MEASURE(S): Outcome measures included LHDs' specific staff development needs related to informatics. Predictors of interest included jurisdiction size and governance type. RESULTS: Areas of workforce development and improvement in informatics staff of LHDs included using and interpreting quantitative data, designing and running reports from information systems, using and interpreting qualitative data, using statistical or other analytical software, project management, and using geographical information systems. Significant variation in informatics training needs exists depending on the size of the LHD population and governance type. CONCLUSION: Substantial training needs exist for LHDs across many areas of informatics ranging from very basic to specialized skills and are related to the size of LHD population and governance type.

The Methods Behind 2015 Informatics Capacity and Needs Assessment Study.

The 2015 Informatics Needs and Capacity of Local Health Departments (LHDs) survey is the most recent comprehensive source of quantitative data on LHD informatics. Conducted by the National Association of County & City Health Officials (NACCHO), this is the third nationally representative quantitative study of LHD informatics since 2009. The previous 2 comprehensive quantitative assessments were conducted by NACCHO in 2009-2010 and 2011. Given that public health informatics is rapidly evolving, the 2015 Informatics survey is a much-needed country-wide assessment of the current informatics needs and capacities of LHDs. This article outlines detailed methodology used in the 2015 Informatics survey, including instrument development, pretesting, sampling design and sample size, survey administration, and sampling weights. A 9-member advisory committee representing federal, state, and local health agency representatives guided the design and implementation of this study. The survey instrument was organized into 6 topic areas: demographics, physical infrastructure, skills and capacity available, public health workforce development needs, electronic health records, and health information exchange. The instrument was pretested with a sample of 20 LHDs and subsequently pilot-tested with 30 LHDs. The survey was administered via the Qualtrics survey software to the sample of 650 LHDs, selected using stratified random sampling. The survey was fielded for approximately 8 weeks and 324 usable responses were received, constituting a response rate of 50%. Statistical weights were developed to account for 3 factors: (a) disproportionate response rate by population size (using 7 population strata), (b) oversampling of LHDs with larger population sizes, and

An Iterative, Low-Cost Strategy to Building Information Systems Allows a Small Jurisdiction Local Health Department to Increase Efficiencies and Expand Services.

OBJECTIVE AND METHODS: The objective of this case study was to describe the process and outcomes of a small local health department's (LHD's) strategy to build and use information systems. The case study is based on a review of documents and semi-structured interviews with key informants in the Pomperaug District Health Department. Interviews were recorded, transcribed, coded, and analyzed. RESULTS AND CONCLUSIONS: The case study here suggests that small LHDs can use a low-resource, incremental strategy to build information systems for improving departmental effectiveness and efficiency. Specifically, we suggest that the elements for this department's success were simple information systems, clear vision, consistent leadership, and the involvement, training, and support of staff.

Characteristics of Local Health Departments Associated with Implementation of Electronic Health Records and Other Informatics Systems.

OBJECTIVE: Assessing local health departments' (LHDs') informatics capacities is important, especially within the context of broader, systems-level health reform. We assessed a nationally representative sample of LHDs' adoption of information systems and the factors associated with adoption and implementation by examining electronic health records, health information exchange, immunization registry, electronic disease reporting system, and electronic laboratory reporting. METHODS: We used data from the National Association of County and City Health Officials' 2013 National Profile of LHDs. We performed descriptive statistics and multinomial logistic regression for the five implementation-oriented outcome variables of interest, with three levels of implementation (implemented, plan to implement, and no activity). Independent variables included infrastructural and financial capacity and other characteristics associated with informatics capacity. RESULTS: Of 505 LHDs that responded to the survey, 69 (13.5%) had implemented health information exchanges, 122 (22.2%) had implemented electronic health records, 245 (47.5%) had implemented electronic laboratory reporting, 368 (73.0%) had implemented an electronic disease reporting system, and 416 (83.8%) had implemented an immunization registry. LHD characteristics associated with health informatics adoption included provision of greater number of clinical services, greater per capita public health expenditures, health information systems specialists on staff, larger population size, decentralized governance system, one or more local boards of health, metropolitan jurisdiction, and top executive with more years in the job. CONCLUSION: Many LHDs lack health informatics capacity, particularly in smaller, rural jurisdictions. Cross-jurisdictional sharing, investment in public health informatics infrastructure, and additional training may help address these shortfalls.

Cross-Jurisdictional Resource Sharing in Changing Public Health Landscape: Contributory Factors and Theoretical Explanations.

BACKGROUND: Local health departments (LHDs) are striving to meet public health needs within their jurisdictions, amidst fiscal restraints and complex dynamic environment. Resource sharing across jurisdictions is a critical opportunity for LHDs to continue to enhance effectiveness and increase efficiency. PURPOSE: This research examines the extent of cross-jurisdictional resource sharing among LHDs, the programmatic areas and organizational functions for which LHDs share resources, and LHD characteristics associated with resource sharing. METHODS: Data from the National Association of County & City Health Officials' 2013 National Profile of LHDs were used. Descriptive statistics and multinomial logistic regression were performed for the 5 implementation-oriented outcome variables of interest, with 3 levels of implementation. RESULTS: More than 54% of LHDs shared resources such as funding, staff, or equipment with 1 or more other LHDs on a continuous, recurring basis. Results from the multinomial regression analysis indicate that economies of scale (population size and metropolitan status) had significant positive influences (at P ≤ .05) on resource sharing. Engagement in accreditation, community health assessment, community health improvement planning, quality improvement, and use of the Community Guide were associated with lower levels of engagement in resource sharing. Doctoral degree of the top executive and having 1 or more local boards of health carried a positive influence on resource sharing. CONCLUSIONS: Cross-jurisdictional resource sharing is a viable and commonly used process to overcome the challenges of new and emerging public health problems within the constraints of restricted budgets. LHDs, particularly smaller LHDs with limited resources, should consider increased resource sharing to address emerging challenges.

Addressing psychological, mental health and other behavioural healthcare needs of the underserved populations in the United States: the role of local health departments.

AIMS: (1) To assess the extent to which local health departments (LHDs) implement and evaluate strategies to target the behavioural healthcare needs for the underserved populations and (2) to identify factors that are associated with these undertakings. METHODS: Data for this study were drawn from the 2013 National Profile of Local Health Departments Study conducted by National Association of County and City Health Officials. A total of 505 LHDs completed the Module 2 questionnaire of the Profile Study, in which LHDs were asked whether they implemented strategies and evaluated strategies to target the behavioural healthcare needs of the underserved populations. To assess LHDs' level of engagement in assuring access to behavioural healthcare services, descriptive statistics were computed, whereas the factors associated with assuring access to these services were examined by using logistic regression analyses. To account for complex survey design, we used SVY routine in Stata 11. RESULTS: Only about 24.9% of LHDs in small jurisdiction (<50,000 population) and 35.3% of LHDs in medium-size jurisdiction implemented/evaluated strategies to target the behavioural healthcare services needs of underserved populations in their jurisdiction in 2013. Logistic regression model results showed that LHDs having city/multicity jurisdiction (adjusted odds ratio (AOR) = .16, 95% confidence interval (CI): .04-.77), centralised governance (AOR = .12, 95% CI: .02-.85), and those located in South Region (AOR = .25, 95% CI: .08-.74) or the West Region (AOR = .36, 95% CI: 14-.94), were less likely to have implemented/evaluated strategies to target the behavioural healthcare needs of the underserved. CONCLUSIONS: The extent to which the LHDs implemented or evaluated strategies to target the behavioural healthcare needs of the underserved population varied by geographic regions and jurisdiction types. Different community needs or different state Medicaid programmes may have accounted for these variations. LHDs could play an important role in improving equity in access to care, including behavioural healthcare services in the communities.