Gulzar H. Shah

Impact of the 2008-2010 economic recession on local health departments.

We measured the impact of the 2008-2010 economic recession on local health departments (LHDs) across the United States. Between 2008 and 2010, we conducted 3 Web-based, cross-sectional surveys of a nationally representative sample of LHDs to assess cuts to budgets, workforce, and programs. By early 2010, more than half of the LHDs (53%) were experiencing cuts to their core funding. In excess of 23 000 LHDs jobs were lost in 2008-2009. All programmatic areas were affected by cuts, and more than half of the LHDs had to reduce or eliminate at least 1 programmatic area. The capacity of LHDs to provide core public health services was undermined by the economic recession.

Quality improvement in local health departments: results of the NACCHO 2008 survey.

OBJECTIVES To assess the current status of quality improvement (QI) within local health departments (LHDs) and examine the characteristics associated with such QI efforts. METHODS A QI module was administered to a representative sample of 545 LHDs along with the core instrument in the 2008 NACCHO Profile survey of all LHDs nationally. Using the Profile survey data set, a quantitative approach was employed to determine the current status of QI within LHDs. Statistical analysis was performed to identify characteristics of LHDs associated with QI. The response rate to the QI module was 82 percent. RESULTS Of the 448 LHDs that responded to the QI Module, 55 percent reported conducting formal QI efforts during the previous 2 years. Forty-four percent of these LHDs used a specific framework for QI, 56 percent used at least one of four commonly employed QI tools or techniques, and customer focus and satisfaction was the most frequently reported area (76%) of QI efforts. LHDs with large size of jurisdiction population and those with centralized governance were more likely to have engaged in quality or performance improvement, have managers who received formal QI training, and have provided QI training to staff. CONCLUSION The 2008 NACCHO Profile QI module furnishes an excellent baseline for measuring progress of health department QI activities as accreditation and other related activities intensify. A clear definition of QI in public health that is understood by practitioners will greatly increase our ability to measure the adoption of QI by LHDs. Further research is necessary to identify and explore some of the predictors and possible barriers to increasing the application of QI by LHDs.

The proof's in the partnerships: Are affordable care act and local health department accreditation practices influencing collaborative partnerships in community health assessment and improvement planning?

The strengthened requirement for nonprofit hospitals to complete a community health needs assessment and implementation plan in the Affordable Care Act, concurrent with a new voluntary accreditation process for local health departments that requires collaborative community health assessments and community health improvement plans, have led to a resurgence of interest in assessment and improvement planning. This study provides baseline data that will help determine whether the Affordable Care Act and public health accreditation will result in more collaborative community assessment and community health improvement activity by describing trends in collaborative community health assessment and community health improvement plan activities. Data sources include the National Profile of Local Health Departments studies and a database of community health assessment, community health needs assessment, community health improvement plan, and other implementation planning reports from across the country. The study finds that collaborative community assessment activity is positively associated with population size, governance type, and local health department and coalition-led efforts.

Small numbers, disclosure risk, security, and reliability issues in Web-based data query systems.

This article describes the process for developing consensus guidelines and tools for releasing public health data via the Web and highlights approaches leading agencies have taken to balance disclosure risk with public dissemination of reliable health statistics. An agencys choice of statistical methods for improving the reliability of released data for Web-based query systems is based upon a number of factors, including query system design (dynamic analysis vs preaggregated data and tables), population size, cell size, data use, and how data will be supplied to users. The article also describes those efforts that are necessary to reduce the risk of disclosure of an individuals protected health information.

Community Health Assessment by Local Health Departments: Presence of Epidemiologist, Governance, and Federal and State Funds are Critical

Using the data from the National Association of County and City Health Officials’ (NACCHO) 2010 Profile of Local Health Departments (LHDs) our study investigates whether or not infrastructural characteristics of LHDs were associated with completion of community health assessment (CHA). Our results show that local and shared LHD governance, greater share of revenue from federal and state sources, smaller population size in LHD jurisdiction, and having an epidemiologist significantly increased the odds of CHA completion in the past, after controlling for community characteristics and other independent variables. These findings have important implications for LHDs, PHAB and its partners.

Changes in Public Health Workforce Composition: Proportion of Part-Time Workforce and Its Correlates, 2008-2013

BACKGROUND State and local public health department infrastructure in the U.S. was impacted by the 2008 economic recession. The nature and impact of these staffing changes have not been well characterized, especially for the part-time public health workforce. PURPOSE To estimate the number of part-time workers in state and local health departments (LHDs) and examine the correlates of change in the part-time LHD workforce between 2008 and 2013. METHODS We used workforce data from the 2008 and 2013 National Association of County and City Health Officials (n=1,543) and Association of State and Territorial Health Officials (n=24) profiles. We employed a Monte Carlo simulation to estimate the possible and plausible proportion of the workforce that was part-time, over various assumptions. Next, we employed a multinomial regression assessing correlates of the change in staffing composition among LHDs, including jurisdiction and organizational characteristics, as well measures of community involvement. RESULTS Nationally representative estimates suggest that the local public health workforce decreased from 191,000 to 168,000 between 2008 and 2013. During that period, the part-time workforce decreased from 25% to 20% of those totals. At the state level, part-time workers accounted for less than 10% of the total workforce among responding states in 2013. Smaller and multi-county jurisdictions employed relatively more part-time workers. CONCLUSIONS This is the first study to create national estimates regarding the size of the part-time public health workforce and estimate those changes over time. A relatively small proportion of the public health workforce is part-time and may be decreasing.

Variation in delivery of the 10 essential public health services by local health departments for obesity control in 2005 and 2008.

OBJECTIVES To describe and compare the capacity of local health departments (LHDs) to perform 10 essential public health services (EPHS) for obesity control in 2005 and 2008, and explore factors associated with provision of these services. METHODS The data for this study were drawn from the 2005 and 2008 National Profile of Local Health Department surveys, conducted by the National Association of County and City Health Officials. Data were analyzed in SAS version 9.1 (SAS Institute Inc, Cary, North Carolina). RESULTS The proportion of LHDs that reported that they do not provide any of the EPHS for obesity control decreased from 27.9% in 2005 to 17.0% in 2008. In both 2005 and 2008, the 2 most frequently provided EPHS for obesity control by LHDs were informing, educating, and empowering the people (EPHS 3) and linking people to needed personal health services (EPHS 7). The 2 least frequently provided services were enforcing laws and regulations (EPHS 6) and conducting research (EPHS 10). On average, LHDs provided 3.05 EPHS in 2005 and 3.69 EPHS in 2008. Multiple logistic regression results show that LHDs with larger jurisdiction population, with a local governance, and those that have completed a community health improvement plan were more likely to provide more of the EPHS for obesity (P < .05). CONCLUSIONS The provision of the 10 EPHS for obesity control by LHDs remains low. Local health departments need more assistance and resources to expand performance of EPHS for obesity control. Future studies are needed to evaluate and promote LHD capacity to deliver evidence-based strategies for obesity control in local communities.

Public health spending in 2008: on the challenge of integrating PHSSR data sets and the need for harmonization.

In recent years, state and local public health department budgets have been cut, sometimes drastically. However, there is no systematic tracking of governmental public health spending that would allow researchers to assess these cuts in comparison with governmental public health spending as a whole. Furthermore, attempts to quantify the impact of public health spending are limited by the lack of good data on public health spending on state and local public health services combined. The objective of this article is to integrate self-reported state and local health department (LHD) survey data from 2 major national organizations to create state-level estimates of governmental public health spending. To create integrated estimates, we selected 1388 LHDs and 46 states that had reported requisite financial information. To account for the nonrespondent LHDs, estimates of the spending were developed by using appropriate statistical weights. Finally, funds from federal pass-through and state sources were estimated for LHDs and subtracted from the total spending by the state health agency to avoid counting these dollars in both state and local figures. On average, states spend

Athletes’ Perceptions of National Collegiate Athletic Association–Mandated Sickle Cell Trait Screening: Insight for Academic Institutions and College Health Professionals

106 per capita on traditional public health at the state and local level, with an average of 42% of spending occurring at the local level. Considerable variation exists in state and local public health funding. The results of this analysis show a relatively low level of public health funding compared with state Medicaid spending and health care more broadly.

Use of Facebook by Local Health Departments: Usage, Public Health Themes, and Maintenance

Abstract Objective: The study objective was to explore athletes’ perspectives of National Collegiate Athletic Association (NCAA)–mandated sickle cell trait (SCT)–screening policy by examining race- and gender-related differences in athletes’ perceptions regarding risk of having SCT and concern about loss of playing time. Participants: Participants were 259 athletes at a southeastern United States campus during April–August of 2010. Methods: Athletes completed a 21-question survey. Results: The majority of athletes (81.7%) perceived that they would have a high level of concern if found to carry the SCT. African Americans were 9.07 times more likely than Caucasians to perceive risk of having the SCT. The majority of athletes disagreed (38.4%) or did not know (50.8%) if they would lose playing time related to carrying the SCT. Conclusion: Campus health professionals must be aware of athletes’ perspectives on NCAAs SCT screening so that athletes are not unnecessarily subjected to stress or harm.