Casey P Balio PhD, Olivia A Sullivan DrPH, MPH, EMT, E Grace Petty BBA, Benjamin Pelton MPH, RT(R), Nathan Dockery MPH, Kate E Beatty PhD, MPH
{"title":"区域脆弱性和恢复力指数的地理评估:城乡比较","authors":"Casey P Balio PhD, Olivia A Sullivan DrPH, MPH, EMT, E Grace Petty BBA, Benjamin Pelton MPH, RT(R), Nathan Dockery MPH, Kate E Beatty PhD, MPH","doi":"10.1111/jrh.70059","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Purpose</h3>\n \n <p>Area-level vulnerability and resilience indices combine multiple dimensions of demographic, economic, and environmental factors into a single measure of area-level risk. These indices are widely used to allocate resources in health care and public health. We investigated how commonly used, existing area-level indices correlate with each other, and how they differ by geography, comparing rural and urban areas.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Seven publicly available indices were selected for inclusion. Rurality was defined by Rural-Urban Continuum Codes and/or Rural-Urban Commuting Areas, depending on the geographic level of each index. Percentiles were obtained or calculated for each index and compared by rurality.</p>\n </section>\n \n <section>\n \n <h3> Findings</h3>\n \n <p>We find that these area-level indices are not substitutes for each other, and they differ significantly across the rural-urban continuum in conflicting ways. Three different patterns generally emerged from analysis: indices that increase as geography becomes more rural; indices that decrease as geography becomes more rural; and indices with the greatest values among middle levels of geography.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Findings from this work underscore the importance of better understanding how area-level indices may differ across the United States and by specific populations. When using area-level indices in policy and resource allocation, strategic selection and implementation considering differences by rurality may be warranted.</p>\n </section>\n </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 3","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An assessment of area-level vulnerability and resilience indices by geography: A rural-urban comparison\",\"authors\":\"Casey P Balio PhD, Olivia A Sullivan DrPH, MPH, EMT, E Grace Petty BBA, Benjamin Pelton MPH, RT(R), Nathan Dockery MPH, Kate E Beatty PhD, MPH\",\"doi\":\"10.1111/jrh.70059\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Purpose</h3>\\n \\n <p>Area-level vulnerability and resilience indices combine multiple dimensions of demographic, economic, and environmental factors into a single measure of area-level risk. These indices are widely used to allocate resources in health care and public health. We investigated how commonly used, existing area-level indices correlate with each other, and how they differ by geography, comparing rural and urban areas.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Seven publicly available indices were selected for inclusion. Rurality was defined by Rural-Urban Continuum Codes and/or Rural-Urban Commuting Areas, depending on the geographic level of each index. Percentiles were obtained or calculated for each index and compared by rurality.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Findings</h3>\\n \\n <p>We find that these area-level indices are not substitutes for each other, and they differ significantly across the rural-urban continuum in conflicting ways. Three different patterns generally emerged from analysis: indices that increase as geography becomes more rural; indices that decrease as geography becomes more rural; and indices with the greatest values among middle levels of geography.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Findings from this work underscore the importance of better understanding how area-level indices may differ across the United States and by specific populations. When using area-level indices in policy and resource allocation, strategic selection and implementation considering differences by rurality may be warranted.</p>\\n </section>\\n </div>\",\"PeriodicalId\":50060,\"journal\":{\"name\":\"Journal of Rural Health\",\"volume\":\"41 3\",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Rural Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/jrh.70059\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Rural Health","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jrh.70059","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
An assessment of area-level vulnerability and resilience indices by geography: A rural-urban comparison
Purpose
Area-level vulnerability and resilience indices combine multiple dimensions of demographic, economic, and environmental factors into a single measure of area-level risk. These indices are widely used to allocate resources in health care and public health. We investigated how commonly used, existing area-level indices correlate with each other, and how they differ by geography, comparing rural and urban areas.
Methods
Seven publicly available indices were selected for inclusion. Rurality was defined by Rural-Urban Continuum Codes and/or Rural-Urban Commuting Areas, depending on the geographic level of each index. Percentiles were obtained or calculated for each index and compared by rurality.
Findings
We find that these area-level indices are not substitutes for each other, and they differ significantly across the rural-urban continuum in conflicting ways. Three different patterns generally emerged from analysis: indices that increase as geography becomes more rural; indices that decrease as geography becomes more rural; and indices with the greatest values among middle levels of geography.
Conclusions
Findings from this work underscore the importance of better understanding how area-level indices may differ across the United States and by specific populations. When using area-level indices in policy and resource allocation, strategic selection and implementation considering differences by rurality may be warranted.
期刊介绍:
The Journal of Rural Health, a quarterly journal published by the NRHA, offers a variety of original research relevant and important to rural health. Some examples include evaluations, case studies, and analyses related to health status and behavior, as well as to health work force, policy and access issues. Quantitative, qualitative and mixed methods studies are welcome. Highest priority is given to manuscripts that reflect scholarly quality, demonstrate methodological rigor, and emphasize practical implications. The journal also publishes articles with an international rural health perspective, commentaries, book reviews and letters.