Understanding cost variations in STD service delivery as state and federal agencies reduce funding

Sexually transmitted diseases (STD) continue to be a major health problem in the U.S. Despite the persistence of STDs and the critical role of the public health sector in controlling these diseases, STD services continue to be reduced. A linear regression was performed using county demographic and cost variables. Many of these variables in county public health agencies and the populations they serve were not significantly correlated with cost of service. However, the availability of local tax funding for county health departments (CHDs), which varies extensively across counties within the state, is statistically linked to higher STD expenditure per case. County STD rates were also negatively correlated with cost of service. As the STD rate increases, the cost per STD case decreases implying some economies of scale. County population size did not have any effect on the cost per case. Understanding the factors contributing to the unit costs of STD services is critical to be able to make actionable and prudent decisions about continued financial support for public health agency based STD prevention/control services

The Health Status of Southern Children: A Neglected Regional Disparity

Purpose: Great variations exist in child health outcomes among states in the United States, with southern states consistently ranked among the lowest in the country. Investigation of the geographical distribution of children’s health status and the regional factors contributing to these outcomes has been neglected. We attempted to identify the degree to which region of residence may be linked to health outcomes for children with the specific aim of determining whether living in the southern region of the United States is adversely associated with children’s health status. Methods: A child health index (CHI) that ranked each state in the United States was computed by using statespecific composite scores generated from outcome measures for a number of indicators of child health. Five indicators for physical health were chosen (percent low birth weight infants, infant mortality rate, child death rate, teen death rate, and teen birth rates) based on their historic and routine use to define health outcomes in children. Indicators were calculated as rates or percentages. Standard scores were calculated for each state for each health indicator by subtracting the mean of the measures for all states from the observed measure for each state. Indicators related to social and economic status were considered to be variables that impact physical health, as opposed to indicators of physical health, and therefore were not used to generate the composite child health score. These variables were subsequently examined in this study as potential confounding variables. Mapping was used to redefine regional groupings of states, and parametric tests (2-sample t test, analysis of means, and analysis-of-variance F tests) were used to compare the means of the CHI scores for the regional groupings and test for statistical significance. Multiple regression analysis computed the relationship of region, social and economic indicators, and race to the CHI. Simple linear-regression analyses were used to assess the individual effect of each indicator. Results: A geographic region of contiguous states, characterized by their poor child health outcomes relative to other states and regions of the United States, exists within the “Deep South” (Mississippi, Louisiana, Arkansas, Tennessee, Alabama, Georgia, North Carolina, South Carolina, and Florida). This Deep-South region is statistically different in CHI scores from the US Census Bureau– defined grouping of states in the South. The mean of CHI scores for the Deep-South region was \u3e1 SD below the mean of CHI scores for all states. In contrast, the CHI score means for each of the other 3 regions were all above the overall mean of CHI scores for all states. Regression analysis showed that living in the Deep- South region is a stronger predictor of poor child health outcomes than other consistently collected and reported variables commonly used to predict children’s health. Conclusions: The findings of this study indicate that region of residence in the United States is statistically related to important measures of children’s health and may be among the most powerful predictors of child health outcomes and disparities. This clarification of the poorer health status of children living in the Deep South through spatial analysis is an essential first step for developing a better understanding of variations in the health of children. Similar to early epidemiology work linking geographic boundaries to disease, discovering the mechanisms/pathways/causes by which region influences health outcomes is a critical step in addressing disparities and inequities in child health and one that is an important and fertile area for future research. The reasons for these disparities may be complex and synergistically related to various economic, political, social, cultural, and perhaps even environmental (physical) factors in the region. This research will require the use and development of new approaches and applications of spatial analysis to develop insights into the societal, environmental, and historical determinants of child health that have been neglected in previous child health outcomes and policy research. The public policy implications of the findings in this study are substantial. Few, if any, policies identify these children as a high-risk group on the basis of their region of residence. A better understanding of the depth and breadth of disparities in health, education, and other social outcomes among and within regions of the United States is necessary for the generation of policies that enable policy makers to address and mitigate the factors that influence these disparities. Defining and clarifying the regional boundaries is also necessary to better inform public policy decisions related to resource allocation and the prevention and/or mitigation of the effects of region on child health. The identification of the Deep South as a clearly defined sub-region of the Census Bureau’s regional definition of the South suggests the need to use more culturally and socially relevant boundaries than the Census Bureau regions when analyzing regional data for policy development

Enhancing Sexually Transmitted Infection Notification: A Quality Improvement Collaborative Case Report

This case study illustrates how a quality improvement (QI) Collaborative supports an implementation study of using mobile phone texting technology for notification of sexually transmitted infections (STI) test results. The County Health Departments making up the QI Collaborative meet monthly to discuss their progress in using QI to advance the use of texting for STI test results. The main purpose of QI Collaboratives is to maximize implementation outcomes through sharing of successes and challenges. The case study report describes how implementation research can adapt to the context of each unique CHD and the users of new knowledge rather than emphasizing the creation of new knowledge

Assessing a Quality Improvement Project in a Georgia County Health Department

The study and evaluation of quality improvement among Georgia’s public health systems continues to be a major priority for the Georgia Public Health Practice Based Research Network (GAPH-PBRN). This article focuses on the application and evaluation of a Quality Improvement project in a Georgia County Health Department. The QI team sought to reduce the waiting time in the teen clinic; thereby, increasing the Quality Improvement culture one project at a time in this Health Department. The project revealed that Quality Improvement is a continuous process that requires change and adaptation by employees. This initial Quality Improvement project was the first step in helping to establish Quality Improvement culture in the County Health Department

Health Districts as Quality Improvement Collaboratives and Multi-Jurisdictional Entities

Research Objective: The Georgia Public Health PBRN assessed the utility of the Multi-county Health District as a structured Quality Improvement Collaborative (QIC), and as multi jurisdictional entities for purposes of meeting standards for accreditation by the Public Health Accreditation Board. Data Sets and Sources: Data were collected from online surveys followed up with phone interviews or paper surveys to maximize participation. A newly developed clinical care QIC instrument (Schouten et al, 2010) was modified to collect data with a revised focus on QICs for public health. We retained QI culture constructs in the instrument while shifting the focus from healthcare to public health essential services related to accreditation standards. Study Design: Data was collected from a purposeful sample of local public health key informants in Georgia who were identified by the District Directors’ office as local key informants. Invitations Key informants included county and district staff and county board of health members. Analysis: Psychometric testing of the QIC assessment instrument included tests for validity and reliability. Census-based and self-reported demographic characteristics were used to compare responses. Principal Findings: Strong consensus emerged across various constituencies that Districts were critical for local public health to provide essential services. Key opinion leaders from both the rural and non-rural counties agreed that the Districts were important. Conclusion: Regionalization using Georgia Districts has major potential for supporting QI and meeting quality assurance standards associated with accreditation. Implications for Field of PHSSR: Accreditation has the potential to substantially clarify and enhance the role of public health in the 21st century. But local public health agencies, based on small municipality or county populations, are unlikely to possess and sustain capacity to meet the challenges of comprehensive essential services. Regionalization of local public health capacity is a critical emerging issue with the launching of public health accreditation

Clarifying and Expanding Concepts of Cross-Jurisdictional Sharing: Early Lessons Learned from Conducting QI with Georgia’s Health Districts

Research Objective: Assess the legal and organization cultural foundations for Cross-Jurisdictional Sharing (CJS) in support of local public health accreditation and QI in Georgia. Data Sets and Sources: Archival data (primarily state statutes), secondary data from previous qualitative comparative research on Deep South public health organization, secondary data from previous surveys, and oral interviews and written communication. Study Design: Primarily Qualitative design combining ethnographic and participatory research methods. Analysis: Qualitative Content analysis based on predetermined and emergent themes. Principal Findings: Georgia’s Health Districts have emerged as major CJS entities that support delivery of essential services and local public health (LPH) QI and LPH accreditation readiness, driven primarily by local organizational leadership and culture that is facilitated through enabling statutes in contrast to more top-down state-mandating statutes, regulations and directives. Conclusion: Georgia’s use of districts as multi-county public health entities serves as a primary structure for providing local public health services and has become a critical structure to address the looming demands for QI and accreditation, even though the statutes clearly establish the county as the primary local public health entity. Implications for the Field of PHSSR: This CJS structure to facilitate public health QI and accreditation in Georgia illustrates how agency cultures can emerge from local demands for economies of scale, more than formal policies generated at state level. This is a model that could be very important for advancing CJS in other regions of the country

Evaluating Quality Improvement to Improve HIV Reporting

The incorporation and evaluation of Quality Improvement into Georgia’s public health systems continues to be a focus of the Georgia Public Health Practice Based Research Network. This report describes the process, preliminary results and lessons learned from incorporating Quality Improvement into one of Georgia’s public health districts

Comparison of practice based research network based quality improvement technical assistance and evaluation to other ongoing quality improvement efforts for changes in agency culture

Abstract Background Public health agencies in the USA are increasingly challenged to adopt Quality Improvement (QI) strategies to enhance performance. Many of the functional and structural barriers to effective use of QI can be found in the organizational culture of public health agencies. The purpose of this study was to assess the impact of public health practice based research network (PBRN) evaluation and technical assistance for QI interventions on the organizational culture of public health agencies in Georgia, USA. Methods An online survey of key informants in Georgia’s districts and county health departments was used to compare perceptions of characteristics of organizational QI culture between PBRN supported QI districts and non-PBRN supported districts before and after the QI interventions. The primary outcomes of concern were number and percentage of reported increases in characteristics of QI culture as measured by key informant responses to items assessing organizational QI practices from a validated instrument on QI Collaboratives. Survey results were analyzed using Multi-level Mixed Effects Logistic Model, which accounts for clustering/nesting. Results Increases in QI organizational culture were consistent for all 10- items on a QI organizational culture survey related to: leadership support, use of data, on-going QI, and team collaboration. Statistically significant odds ratios were calculated for differences in increased QI organizational culture between PBRN-QI supported districts compared to Non-PBRN supported districts for 5 of the 10 items, after adjusting for District clustering of county health departments. Conclusions Agency culture, considered by many QI experts as the main goal of QI, is different than use of specific QI methods, such as Plan-Do-Study-Act (PDSA) cycles or root-cause analyses. The specific use of a QI method does not necessarily reflect culture change. Attempts to measure QI culture are newly emerging. This study documented significant improvements in characteristics of organizational culture and demonstrated the potential of PBRNs to support agency QI activities

¿Cuándo Es La Adherencia En Las Intervenciones De Promoción De Salud Intencional? Predicción De Regreso A Las Intervenciones De Promoción De La Salud En Función De La ocupación

To test when intentional decisions enhance retention in health-promotion interventions, we analyzed the rate of return of 278 clients of HIV-prevention counseling at a state health department in Florida. Specifically, the role of intentions as a facilitator of returns was analyzed as a function of busyness (more children and work hours), while demographic and health factors that also influenced returns were controlled for. Consistent with the notion that actions depend on ability, intentions predicted the behavior of the less busy participants but failed to facilitate retention when participants were occupied with children and work. These findings suggest the efficacy of different retention strategies –one emphasizing explicit intention formation, and the other either attracting clients to counseling on the spot or using more ubiquitous technologies