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

Grouping Public Health Skills to Facilitate Workforce Development: A Factor Analysis of PH WINS

OBJECTIVES

This study examined whether distinct factors exist among public health skills, measured through the Public Health Workforce Interests and Needs Survey (PH WINS). Understanding how workforce training needs group is important for developing targeted and appropriate public health workforce training sessions.

DESIGN

Exploratory factor analysis was used to examine public health skills among tier 1 staff (nonmanagers) and a combined group of tier 2 and 3 staff (managers and executives).

SETTING

Data for this study come from the 2017 PH WINS, which assessed public health workforce perceptions of training needs, workplace environment, job satisfaction, perceptions about national trends, and demographics. The analysis included 22 items.

PARTICIPANTS

All public health staff in participating agencies were eligible to complete the survey. The national data set included participants from 47 state health agencies, 26 large local health departments (LHDs), and 71 mid-sized LHDs across all 10 Health and Human Services regions in the United States (including LHDs from all states). The analytic sample was n = 9630 in tier 1, n = 4829 in tier 2, and n = 714 in tier 3 staff.

MAIN OUTCOME MEASURE

Three factors were identified within the skills portion of PH WINS, using exploratory factor analysis. To interpret retained factors, the following parameters were used: factor loadings greater than 0.4, factor cross-loadings less than 0.4 or higher than loadings on other factors, and communalities greater than 0.5.

RESULTS

Factors included (1) data and systems thinking, (2) planning and management, and (3) community collaboration, with slight variation in item loadings between tier 1 and tier 2 and 3 staff analyses.

CONCLUSION

This study was the first known factor analysis of the training needs and workforce skills portion of PH WINS in the published literature. This study advances our conceptualization of public health workforce skills and has the potential to shape future critical workforce training development.

Local health department engagement with workplaces during the COVID-19 pandemic—Examining barriers of and facilitators to outbreak investigation and mitigation

Objectives

To document local health department (LHD) COVID-19 prevention or mitigation activities at workplaces in the United States and identify facilitators for and barriers to these efforts.

Methods

We conducted a web-based, cross-sectional national probability survey of United States LHDs (n = 181 unweighted; n = 2,284 weighted) from January to March 2022, collecting information about worker complaints, surveillance, investigations, relationships and interactions with employers/businesses, and LHD capacity.

Results

Overall, 94% LHD respondents reported investigating workplace-linked COVID-19 cases; however, 47% reported insufficient capacity to effectively receive, investigate and respond to COVID-19-related workplace safety complaints. Prior relationships with jurisdiction employers and LHD personnel with formal occupational health and safety (OHS) training were predictors of proactive outreach to prevent COVID-19 spread in workplaces (p < 0.01 and p < 0.001). LHD size predicted OHS personnel and sufficient financial resources to support workplace investigation and mitigation activities (p < 0.001).

Conclusions

Differences in LHD capacity to effectively respond to communicable disease spread in workplaces may exacerbate health disparities, especially between rural and urban settings. Improving LHD OHS capacity, especially in smaller jurisdictions, could facilitate effective prevention and mitigation of workplace communicable disease spread.

The DASH model: Data for addressing social determinants of health in local health departments

Recent frameworks, models, and reports highlight the critical need to address social determinants of health for achieving health equity in the United States and around the globe. In the United States, data play an important role in better understanding community-level and population-level disparities particularly for local health departments. However, data-driven decision-making-the use of data for public health activities such as program implementation, policy development, and resource allocation-is often presented theoretically or through case studies in the literature. We sought to develop a preliminary model that identifies the factors that contribute to data-driven decision-making in US local health departments and describe relationships between them. Guided by implementation science literature, we examined organizational-level capacity and individual-level factors contributing to using data for decision-making related to social determinants of health and the reduction of county-level disparities. This model has the potential to improve implementation of public health interventions and programs aimed at upstream structural factors, by elucidating the factors critical to incorporating data in decision-making.

Generation and Use of Evidence by Local Health Departments: The Role of Leader Attributes

OBJECTIVE

The purpose of this study was to examine whether certain types of leaders were associated with the degree to which local health departments (LHDs) generate and use evidence to inform their service offering.

DESIGN

Pooled, cross-sectional analysis using 4 waves (2010, 2013, 2016, and 2019) of the National Profiles of Local Health Departments sponsored by the National Association of County and City Health Officials (NACCHO). Univariate analysis was used to assess the extent to which LHDs were generating and using evidence to improve the health of their local communities and whether this changed over time. Multinomial logistic regression models were used to examine the relationships between LHD leader attributes and the extent to which LHDs were generating and using evidence.

PARTICIPANTS

Between 1496 and 2087 (varied by survey round) LHDs from throughout the United States.

MAIN OUTCOME MEASURES

Two outcome variables pertaining to the generation of evidence: (1) how recently an LHD completed a community health assessment and (2) how recently an LHD completed a community health improvement plan. A third outcome variable reflected how extensively an LHD used the Community Guide, a compendium of evidence-based findings.

RESULTS

In 2010, 25.1% and 41.4% of all LHDs had not completed a community health assessment or a community health improvement plan, respectively; by 2019, those figures declined significantly to 14.6% and 24.7%. Similarly, in 2010, 61.7% of all LHDs were not using the Community Guide; by 2019, that percentage declined significantly to 42.5%. Multivariable analysis revealed that leader experience was a more robust correlate of evidence generation and use by LHDs than leader education.

CONCLUSIONS

While LHDs' generation and use of evidence have grown over the past decade, there is room for improvement. Local health department leader attributes-education and experience-highlight targeted opportunities to fill gaps in the use of evidence-based public health practices.

Assessing Public Health Workforce Informatics Competencies: A Study of 3 District Health Departments in Georgia

CONTEXT

Despite the increased recognition of the importance of having informatics-competent public health professionals, the competency level of the public health workforce in public health informatics (PHI) has not been examined extensively in the literature.

OBJECTIVE

The purpose of this study was to assess public health workforce informatics competencies in select Georgia health districts and determine the correlates of PHI proficiency.

METHODS

This study is based on a cross-sectional quantitative study design. We conducted an online self-administered survey of employees from 3 selected district health departments to assess proficiency in foundational PHI competency domains. Three hundred thirty-three respondents completed the survey, with a response rate of 32.5%. A gap score was calculated as a proxy to identify informatics training needs. A path analysis was conducted to assess the relationships among contextual factors and foundational PHI competency domains.

RESULTS

The public health employees participating in this study reported relatively high proficiency in foundational PHI competency. Psychometric testing of the competency assessment instrument revealed 2 foundational informatics competency domains-effective information technology (IT) use and effective use of information. The effective use of IT mediated the relationship between employee-level factors of age and past informatics training and the effective use of information.

CONCLUSION

The study highlights the importance of improving the ability of public health professionals to leverage IT and information to advance population health. Periodic assessment of staff PHI competencies can help proactively identify competency gaps and address needs for additional training. Short assessment tools, such as presented in this study, can be validated and used for such assessments.

Examining Training Motivations Among Public Health Workers

CONTEXT

As public health needs and priorities evolve, maintaining a trained public health workforce is critical to the success of public health efforts. Researchers have examined training needs in various contexts and subpopulations, but a nationally representative study of what motivates public health workers to seek out training has yet to be conducted. By understanding these motivations, public health agencies and policy makers can appeal to worker motivations in both training programs and organizational incentives.

OBJECTIVE

The purpose of this article was to describe overall training motivations and identify patterns of training motivations among public health workers. This study also explored whether or not training needs differ across prevalent motivational patterns.

DESIGN AND PARTICIPANTS

Using data from the 2017 Public Health Workforce Interests and Needs Survey (PH WINS), the study used latent class analysis (LCA) to identify motivational patterns and logistic regression to analyze associations with training needs.

RESULTS

The most prominent motivation to seek training was personal growth (82.7% of respondents). LCA identified 4 motivational classes of public health workers: those motivated by organizational pressure and requirements (31.8%), those motivated indiscriminately by all factors (28.4%), those motivated primarily by personal growth (21.7%), and those motivated by organizational accommodations and supports (18.2%). Motivational class was not associated with indicating training needs in any of 8 training domains, nor was it associated with indicating any training need in any domain.

CONCLUSIONS

Public health agencies should consider the different motivational classes present in the public health workforce. In particular, motivational classes that represent organizational choices suggest that public health agencies should both motivate workers with organizational requirements and pressure from managers and offer institutional support via paid travel and covered time for training.

Public Health Informatics in Local and State Health Agencies: An Update From the Public Health Workforce Interests and Needs Survey

Objective:

To characterize public health informatics (PHI) specialists and identify the informatics needs of the public health workforce.

Design:

Cross-sectional study.

Setting:

US local and state health agencies.

Participants:

Employees from state health agencies central office (SHA-COs) and local health departments (LHDs) participating in the 2017 Public Health Workforce Interests and Needs Survey (PH WINS). We characterized and compared the job roles for self-reported PHI, “information technology specialist or information system manager” (IT/IS), “public health science” (PHS), and “clinical and laboratory” workers.

Main Outcome Measure:

Descriptive statistics for demographics, income, education, public health experience, program area, job satisfaction, and workplace environment, as well as data and informatics skills and needs.

Results:

A total of 17 136 SHA-CO and 26 533 LHD employees participated in the survey. PHI specialist was self-reported as a job role among 1.1% and 0.3% of SHA-CO and LHD employees. The PHI segment most closely resembled PHS employees but had less public health experience and had lower salaries. Overall, fewer than one-third of PHI specialists reported working in an informatics program area, often supporting epidemiology and surveillance, vital records, and communicable disease. Compared with PH WINS 2014, current PHI respondents' satisfaction with their job and workplace environment moved toward more neutral and negative responses, while the IT/IS, PHS, and clinical and laboratory subgroups shifted toward more positive responses. The PHI specialists were less likely than those in IT/IS, PHS, or clinical and laboratory roles to report gaps in needed data and informatics skills.

Conclusions:

The informatics specialists' role continues to be rare in public health agencies, and those filling that role tend to have less public health experience and be less well compensated than staff in other technically focused positions. Significant data and informatics skills gaps persist among the broader public health workforce.

Geovisualization and Spatial Analysis of Infant Mortality and Preterm Birth in Ohio, 2008-2015: Opportunities to Enhance Spatial Thinking

OBJECTIVES

Geovisualization and spatial analysis are valuable tools for exploring and evaluating the complex social, economic, and environmental interactions that lead to spatial inequalities in health. The objective of this study was to describe spatial patterns of infant mortality and preterm birth in Ohio by using interactive mapping and spatial analysis.

METHODS

We conducted a retrospective cohort study using Ohio vital statistics records from 2008-2015. We geocoded live births and infant deaths by using residential address at birth. We used multivariable logistic regression to adjust spatial and space-time cluster analyses that examined the geographic clustering of infant mortality and preterm birth and changes in spatial distribution over time.

RESULTS

The overall infant mortality rate in Ohio during the study period was 6.55 per 1000 births; of 1 097 507 births, 10.3% (n = 112 552) were preterm. We found significant geographic clustering of both infant mortality and preterm birth centered on large urban areas. However, when known demographic risk factors were taken into account, urban clusters disappeared and, for preterm birth, new rural clusters appeared.

CONCLUSIONS

Although many public health agencies have the capacity to create maps of health outcomes, complex spatial analysis and geovisualization techniques are still challenging for public health practitioners to use and understand. We found that actively engaging policymakers in reviewing results of the cluster analysis improved understanding of the processes driving spatial patterns of birth outcomes in the state.

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.

Developing Workforce Capacity in Public Health Informatics: Core Competencies and Curriculum Design

We describe a master's level public health informatics (PHI) curriculum to support workforce development. Public health decision-making requires intensive information management to organize responses to health threats and develop effective health education and promotion. PHI competencies prepare the public health workforce to design and implement these information systems. The objective for a Master's and Certificate in PHI is to prepare public health informaticians with the competencies to work collaboratively with colleagues in public health and other health professions to design and develop information systems that support population health improvement. The PHI competencies are drawn from computer, information, and organizational sciences. A curriculum is proposed to deliver the competencies and result of a pilot PHI program is presented. Since the public health workforce needs to use information technology effectively to improve population health, it is essential for public health academic institutions to develop and implement PHI workforce training programs.

Public Health, Population Health, and Epidemiology Informatics: Recent Research and Trends in the United States

Objectives: To survey advances in public and population health and epidemiology informatics over the past 18 months. Methods: We conducted a review of English-language research works conducted in the domain of public and population health informatics and published in MEDLINE or Web of Science between January 2015 and June 2016 where information technology or informatics was a primary subject or main component of the study methodology. Selected articles were presented using a thematic analysis based on the 2011 American Medical Informatics Association (AMIA) Public Health Informatics Agenda tracks as a typology. Results: Results are given within the context developed by Dixon et al., (2015) and key themes from the 2011 AMIA Public Health Informatics Agenda. Advances are presented within a socio-technical infrastructure undergirded by a trained, competent public health workforce, systems development to meet the business needs of the practice field, and research that evaluates whether those needs are adequately met. The ability to support and grow the infrastructure depends on financial sustainability. Conclusions: The fields of public health and population health informatics continue to grow, with the most notable developments focused on surveillance, workforce development, and linking to or providing clinical services, which encompassed population health informatics advances. Very few advances addressed the need to improve communication, coordination, and consistency with the field of informatics itself, as identified in the AMIA agenda. This will likely result in the persistence of the silos of public health information systems that currently exist. Future research activities need to aim toward a holistic approach of informatics across the enterprise.

Health Informatics in the Public Health 3.0 Era: Intelligence for the Chief Health Strategists

This commentary discusses health informatics in the Public Health 3.0 era and the role of chief health strategists to leverage data and partnerships to address the inputs to the public's health, including the broader social determinants.

Urgent Challenges for Local Public Health Informatics

This editorial highlights the urgent challenges for local public health informatics and provides solutions to face these challenges.