ArticlePublic health reports (Washington, D.C. : 1974)
Using GIS and secondary data to target diabetes-related public health efforts.
Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- A Community Resource Map to Support Clinical-Community Linkages in a Randomized Controlled Trial of Childhood Obesity, Eastern Massachusetts, 2014-2016.Preventing chronic disease · 2017Trial
- Mapping disparities in diabetic eye exam adherence using geographic information systems.PloS one · 2026Article
- Article
- Neighborhood-Level Risk Factors for Severe Hyperglycemia among Emergency Department Patients without a Prior Diabetes Diagnosis.Journal of urban health : bulletin of the New York Academy of Medicine · 2023Article
- Prevalence and Associations of Type 2 Diabetes Risk and Sociodemographic Factors in Saudi Arabia: A Web-Based Cross-Sectional Survey Study.International journal of environmental research and public health · 2023Article
- Evaluating the usability and acceptability of a geographical information system (GIS) prototype to visualise socio-economic and public health data.BMC public health · 2021Article
- Identifying priority and bright spot areas for improving diabetes care: a geospatial approach.Family medicine and community health · 2021Article
- Linking the Flint Food Store Survey: Is Objective or Perceived Access to Healthy Foods Associated with Glycemic Control in Patients with Type 2 Diabetes?International journal of environmental research and public health · 2021Article
- Identifying Bright Spot Counties for Appropriate Diabetes Preventive Care: A Geospatial, Positive Deviance Approach.The journal of primary prevention · 2020Article
- Identifying Areas with Disproportionate Local Health Department Services Relative to Opioid Overdose, HIV and Hepatitis C Diagnosis Rates: A Study of Rural Illinois.International journal of environmental research and public health · 2019Article
- Using Geographic Information Systems (GIS) to Display Spatial Patterns of Diabetes in Delaware.Delaware journal of public health · 2019Article
- Tsunami evacuation simulation using geographic information systems for homecare recipients depending on electric devices.PloS one · 2018Article
- From Neighborhood to Genome: Three Decades of Nutrition-Related Research from the Atherosclerosis Risk in Communities Study.Journal of the Academy of Nutrition and Dietetics · 2017Article
- 2017 National Standards for Diabetes Self-Management Education and Support.Diabetes spectrum : a publication of the American Diabetes Association · 2017Article
- Academic and Government Partnerships to Address Diabetes in the USA: a Narrative Review.Current diabetes reports · 2017Review
- Geographic Information Systems to Assess External Validity in Randomized Trials.American journal of preventive medicine · 2017Article
- Geographic Information Systems Mapping of Diabetic Retinopathy in an Ocular Telemedicine Network.JAMA ophthalmology · 2017Article
- Linking community resources in diabetes care: a role for technology?Current diabetes reports · 2015Review
- Beyond HbAJournal of clinical & experimental ophthalmology · 2015Article
- Evaluation and Use of Registry Data in a GIS Analysis of Diabetes.AIMS public health · 2015Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo efficiently help communities prevent and manage diabetes, health departments need to be able to target populations with high risk but low resources. To aid in this process, we mapped county-level diabetes-related rates and resources/use using publicly available secondary data to identify Michigan counties with high diabetes prevalence and low or no medical and/or community resources.
methodsWe collected county-level diabetes-related rates and resources from Web-based sources and mapped them using geographic information systems (GIS) software. Data included age-adjusted county diabetes rates, diabetes-related medical resource and resource use (i.e., the number of endocrinologists and percentage of Medicare patients with diabetes who received hemoglobin A1c testing in the past year), community resources (i.e., the number of certified diabetes self-management education and diabetes support groups), as well as population estimates and demographics (e.g., rural residence, education, poverty, and race/ethnicity). We created GIS maps highlighting areas that had higher-than-median rates of disease and lower-than-median resources. We also conducted linear, logistic, and Poisson regression analyses to confirm GIS findings.
resultsThere were clear regional trends in resource distribution across Michigan. The 15 counties in the Upper Peninsula were lacking in medical resources but higher in community resources compared with the 68 counties in the Lower Peninsula. There was little apparent association between need (diabetes prevalence) and diabetes-related resources/use. Specific counties with high diabetes prevalence and low resources were easily identified using GIS mapping.
conclusionUsing public data and mapping tools identified diabetes health-service shortage areas for targeted public health programming.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.