Community Healh Assessments: A Data Warehousing Approach

The measurement and assessment of health status in communities throughout the world is a massive information technology challenge. The Comprehensive Assessment for Tracking Community Health (CATCH) methodology provides a systematic framework for community-level assessment that can be a valuable tool for resource allocation and health care policy formulation. CATCH utilizes health status indicators from multiple data sources, using an innovative comparative framework and weighted evaluation process to produce a rank-ordered list of critical community health care challenges. The community-level focus is intended to empower local decision-makers and provide a clear methodology for organizing and interpreting relevant health care data. The effectiveness of the CATCH methodology is based on a data warehousing approach. The data warehouse allows a core set of reports to be produced at a reasonable cost for community use. In addition, online analytic processing (OLAP) functionality can be used to gain a deeper understanding of the health care issues. The data warehouse in conjunction with Internet-enabled dissemination methods will allow the information to be presented in a variety of formats and be distributed more widely in the decision-making community. On-going research directions in community health care decision making conclude the paper

Extent and patterns of community collaboration in local health departments: An exploratory survey

<p>Abstract</p> <p>Background</p> <p>Local public health departments (LHDs) in the United States have been encouraged to collaborate with various other community organizations and individuals. Current research suggests that many forms of active partnering are ongoing, and there are numerous examples of LHD collaboration with a specific organization for a specific purpose or program. However, no existing research has attempted to characterize collaboration, for the defined purpose of setting community health status priorities, between a defined population of local officials and a defined group of alternative partnering organizations. The specific aims of this study were to 1) determine the range of collaborative involvement exhibited by a study population of local public health officials, and, 2) characterize the patterns of the selection of organizations/individuals involved with LHDs in the process of setting community health status priorities.</p> <p>Methods</p> <p>Local health department officials in North Carolina (n = 53) responded to an exploratory survey about their levels of involvement with eight types of possible collaborator organizations and individuals. Descriptive statistics and the stochastic clustering technique of Self-Organizing Maps (SOM) were used to characterize their collaboration.</p> <p>Results</p> <p>Local health officials vary extensively in their level of collaboration with external collaborators. While the range of total involvement varies, the patterns of involvement for this specific function are relatively uniform. That is, regardless of the total level of involvement (low, medium or high), officials maintain similar hierarchical preference rankings with Community Advisory Boards and Local Boards of Health most involved and Experts and Elected Officials least involved.</p> <p>Conclusion</p> <p>The extent and patterns of collaboration among LHDs with other community stakeholders for a specific function can be described and ultimately related to outcome measures of LHD performance.</p

Late-Term Abortion and Medical Necessity: A Failure of Science

Roe V. Wade (1973) placed the concept of medical necessity at the center of the public discourse on abortion. Nearly a half century later, 2 laws dealing with late-term abortion, 1 passed in New York and 1 set aside in Virginia, are an indication that the medical necessity argument regarding abortion has been rendered irrelevant. More importantly for this discussion, these laws are an indication of the failure of the US scientific and medical communities to inform this consequential topic with transparency, logical coherence, and evidence-based objectivity

Determining Community Health Status Priorities in an Online Analytic Processing (OLAP) Environment

Introduction: The determination of priorities is an essential component of community health status assessment. Yet, there is an acknowledged need for a systematic method which will utilize data in standardized comparisons to yield priorities based on objective analyses. Method: We have deployed a web-based system with: a flexible online analytic processing (OLAP) interface; multiple sources of event-level data conformed to common definitions in a data warehouse structure; and, centralized technical infrastructure with distributed analytical capabilities. The PRIORITIZATION TOOL integrated into the system takes full advantage of the granularity of multidimensional sources of data to: apply a series of defined objective criteria; vary the weight of those criteria and detect the reordering of the rankings in real-time; and, apply the prioritization algorithm to different categories of health status outcomes. Results: In our example, mortality outcomes for Miami-Dade County, Florida, were considered with three different weighting combinations of the four primary ranking criteria. The resultant analyses return markedly different mortality priority rankings based upon the selection and weighting of the criteria. Conclusion: Rankings of community health outcomes based on a static set of criteria with fixed weighting factors may not provide sufficient information necessary for priority setting and may, in fact, be misleading

A Cross-Sectional Retrospective Analysis of the Racial and Geographic Variations in Cataract Surgery.

Cataract surgery is the most common surgery performed on beneficiaries of Medicare, accounting for more than $3.4 billion in annual expenditures. The purpose of this study is to examine racial and geographic variations in cataract surgery rates and determine the association between the racial composition of the community population and the racial disparity in the likelihood of receiving necessary cataract surgery.Using the national prevalence rates from the National Institute of Eye Health and the 2010 Healthcare Cost and Utilization Project-Florida State Ambulatory Surgery Database, we determined the estimated cases of cataract and the actual number of cataract procedures performed, on four race/gender determined groups aged 65 and over in the state of Florida in 2010. The utilization rates and disparity ratios were also calculated for each Florida county. The counties were segmented into groups based on their racial composition. The association between racial composition and disparity ratios in receiving necessary cataract surgery was examined. The Geographic Information System was used to display county-level geospatial relationships.African-Americans have a lower gender-specific cataract prevalence (African-American male = 0.246, African-American female = 0.392, white male = 0.368, and white female = 0.457), but they are also less likely than whites to receive necessary cataract surgery (utilization rate: African-American male = 7.92%, African-American female = 6.17%, white male = 12.08%, and white female = 10.54%). The statistical results show no overall differences between the disparity ratios and the racial composition of the communities. However, our geospatial analyses revealed a concentration of high racial disparity/high white population counties largely along the West Coast and South Central portion of the state.There are racial differences in the likelihood of receiving necessary cataract surgery. However, there is no significant statewide association between the racial composition of the community population and the racial disparity in the likelihood of receiving necessary cataract surgery. Geospatial techniques did, however, identify subpopulations of interest which were not otherwise identifiable with typical statistical approaches, nor consistent with their conclusions