Biomedical subjects

Linda Williams Pickle

Publications and source records attributed to Linda Williams Pickle.

6 recordsLinked to original sources

PubMed2006

The crossroads of GIS and health information: a workshop on developing a research agenda to improve cancer control.

Cancer control researchers seek to reduce the burden of cancer by studying interventions, their impact in defined populations, and the means by which they can be better used. The first step in cancer control is identifying where the cancer burden is elevated, which suggests locations where interventions are needed. Geographic information systems (GIS) and other spatial analytic methods provide such a solution and thus can play a major role in cancer control. This report presents findings from a workshop held June 16-17, 2005, to bring together experts and stakeholders to address current issues in GIScience and cancer control. A broad range of areas of expertise and interest was represented, including epidemiology, geography, statistics, environmental health, social science, cancer control, cancer registry operations, and cancer advocacy. The goals of this workshop were to build consensus on important policy and research questions, identify roadblocks to future progress in this field, and provide recommendations to overcome these roadblocks.

Geographic Information Systems↗

PubMed2006

Current practices in spatial analysis of cancer data: mapping health statistics to inform policymakers and the public.

BACKGROUND: To communicate population-based cancer statistics, cancer researchers have a long tradition of presenting data in a spatial representation, or map. Historically, health data were presented in printed atlases in which the map producer selected the content and format. The availability of geographic information systems (GIS) with comprehensive mapping and spatial analysis capability for desktop and Internet mapping has greatly expanded the number of producers and consumers of health maps, including policymakers and the public.Because health maps, particularly ones that show elevated cancer rates, historically have raised public concerns, it is essential that these maps be designed to be accurate, clear, and interpretable for the broad range of users who may view them. This article focuses on designing maps to communicate effectively. It is based on years of research into the use of health maps for communicating among public health researchers. RESULTS: The basics for designing maps that communicate effectively are similar to the basics for any mode of communication. Tasks include deciding on the purpose, knowing the audience and its characteristics, choosing a media suitable for both the purpose and the audience, and finally testing the map design to ensure that it suits the purpose with the intended audience, and communicates accurately and effectively. Special considerations for health maps include ensuring confidentiality and reflecting the uncertainty of small area statistics. Statistical maps need to be based on sound practices and principles developed by the statistical and cartographic communities. CONCLUSION: The biggest challenge is to ensure that maps of health statistics inform without misinforming. Advances in the sciences of cartography, statistics, and visualization of spatial data are constantly expanding the toolkit available to mapmakers to meet this challenge. Asking potential users to answer questions or to talk about what they see is still the best way to evaluate the effectiveness of a specific map design.

Data Interpretation, Statistical↗

PubMed2006

Geographic patterns of advanced breast cancer in Los Angeles: associations with biological and sociodemographic factors (United States).

OBJECTIVE: Examination of patterns of advanced breast cancer may provide evidence needed to direct health care resources to those communities or population groups in greatest need. We assessed to what degree biologic, ethnic, and sociodemographic factors could explain such patterns within Los Angeles County. METHODS: The proportion of cases of advanced disease among all breast cancer cases identified during 1992-1996 were analyzed using generalized linear mixed models with random census tract effects. Models included characteristics of the individual and her tumor, census tract of residence, and aggregated health districts. RESULTS: Approximately 6% of cases, ranging from 4% for Asian to 10% for Black women, were diagnosed as advanced, exhibiting striking geographic patterns. Tumor histology and hormone receptor status were most predictive of advanced disease. Sociodemographic variables such as marital status, median income, and distance to nearest mammography unit showed additional association with risk. CONCLUSIONS: These models explain most of the geographical patterns and eliminate differences between White and Hispanic but not Asian or Black women, identify subpopulations at high risk of advanced disease, and suggest cancer control opportunities.

Adult↗

PubMed2005

Current practices in cancer spatial data analysis: a call for guidance.

There has long been a recognition that place matters in health, from recognition of clusters of yellow fever and cholera in the 1800s to modern day analyses of regional and neighborhood effects on cancer patterns. Here we provide a summary of discussions about current practices in the spatial analysis of georeferenced cancer data by a panel of experts recently convened at the National Cancer Institute.

Journal Article↗

PubMed2002

Spatial analysis of disease.

In this chapter, we have reviewed the history of the spatial analysis of disease and the statistical methods used for the exploratory analysis, testing and modeling of spatial patterns. In the next chapter, the principles described here will be illustrated.

Data Interpretation, Statistical↗

PubMed2002

Within-state geographic patterns of health insurance coverage and health risk factors in the United States.

BACKGROUND: A number of health risk factors have been associated with the incidence and mortality of common diseases. Although knowing risk factor patterns at a small-area level would be useful for ecologic analyses and prevention program planning, risk factor data are generally published only at the state or regional level in the United States. This study presents maps of within-state patterns of several such factors. METHODS: Responses to Behavioral Risk Factor Surveillance System (BRFSS) questions about smoking, obesity, health insurance, and mammography use were aggregated for 1992-1998 by county. These data were then geographically smoothed by adjusting each county's proportional response based on the responses of its neighboring counties. RESULTS: The maps show risk factor patterns consistent with published state-level maps, but also identify within-state variations masked by aggregation to the larger geographic units. CONCLUSIONS: The risk factor maps presented should permit a better understanding of localized patterns of health risk behaviors and access to health care as well as help to target intervention activities in the U.S. areas that most need them.

Adult↗