{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T06:44:51Z","timestamp":1791614691476,"version":"4.3.4"},"reference-count":79,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100009633","name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["K12\u2010HD105253"],"award-info":[{"award-number":["K12\u2010HD105253"]}],"id":[{"id":"10.13039\/100009633","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Milbank Quarterly"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:sec>\n                    <jats:label\/>\n                    <jats:p>\n                      <jats:boxed-text content-type=\"box\" position=\"anchor\">\n                        <jats:caption>\n                          <jats:title>Policy Points<\/jats:title>\n                        <\/jats:caption>\n                        <jats:p>\n                          <jats:list list-type=\"bullet\">\n                            <jats:list-item>\n                              <jats:p>The rapid uptake of disadvantage indices during the pandemic highlights investment in implementing tools that address health equity to inform policy.<\/jats:p>\n                            <\/jats:list-item>\n                            <jats:list-item>\n                              <jats:p>Existing indices differ in their design, including data elements, social determinants of health domains, and geographic unit of analysis. These differences can lead to stark discrepancies in place\u2010based social risk scores depending on the index utilized.<\/jats:p>\n                            <\/jats:list-item>\n                            <jats:list-item>\n                              <jats:p>Disadvantage indices are useful tools for identifying geographic patterns of social risk; however, indiscriminate use of indices can have varied policy implications and unintentionally worsen equity. Implementers should consider which indices are suitable for specific communities, objectives, potential interventions, and outcomes of interest.<\/jats:p>\n                            <\/jats:list-item>\n                          <\/jats:list>\n                        <\/jats:p>\n                      <\/jats:boxed-text>\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Context<\/jats:title>\n                    <jats:p>There has been unprecedented uptake of disadvantage indices such as the Centers for Disease Control and Prevention Social Vulnerability Index (SVI) to identify place\u2010based patterns of social risk and guide equitable health policy during the COVID\u201019 pandemic. However, limited evidence around data elements, interoperability, and implementation leaves unanswered questions regarding the utility of indices to prioritize health equity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We identified disadvantage indices that were (a) used three or more times from 2018 to 2021, (b) designed using national\u2010level data, and (c) available at the census\u2010tract or block\u2010group level. We used a network visualization to compare social determinants of health (SDOH) domains across indices. We then used geospatial analyses to compare disadvantage profiles across indices and geographic areas.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Findings<\/jats:title>\n                    <jats:p>\n                      We identified 14 indices. All incorporated data from public sources, with half using only American Community Survey data (\n                      <jats:italic>n =<\/jats:italic>\n                      7) and the other half combining multiple sources (\n                      <jats:italic>n =<\/jats:italic>\n                      7). Indices differed in geographic granularity, with county level (\n                      <jats:italic>n =<\/jats:italic>\n                      5) and census\u2010tract level (\n                      <jats:italic>n =<\/jats:italic>\n                      5) being the most common. Most states used the SVI during the pandemic. The SVI, the Area Deprivation Index (ADI), the COVID\u201019 Community Vulnerability Index (CCVI), and the Child Opportunity Index (COI) met criteria for further analysis. Selected indices shared five indicators (income, poverty, English proficiency, no high school diploma, unemployment) but varied in other metrics and construction method. While mapping of social risk scores in Durham County, North Carolina; Cook County, Illinois; and Orleans Parish, Louisiana, showed differing patterns within the same locations depending on choice of disadvantage index, risk scores across indices showed moderate to high correlation (r\n                      <jats:sub>s<\/jats:sub>\n                      0.7\u20101). However, spatial autocorrelation analyses revealed clustering, with discrepant distributions of social risk scores between different indices.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Existing disadvantage indices use varied metrics to represent place\u2010based social risk. Within the same geographic area, different indices can provide differences in social risk values and interpretations, potentially leading to varied public health or policy responses.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/1468-0009.12588","type":"journal-article","created":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T13:48:46Z","timestamp":1669902526000},"page":"1028-1075","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":43,"title":["Assessment of Population\u2010Level Disadvantage Indices to Inform Equitable Health Policy"],"prefix":"10.1111","volume":"100","author":[{"given":"KAMARIA","family":"KAALUND","sequence":"first","affiliation":[{"name":"Duke Margolis Center for Health Policy  Durham NC and Washington, DC"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"ANDREA","family":"THOUMI","sequence":"additional","affiliation":[{"name":"Duke Margolis Center for Health Policy  Durham NC and Washington, DC"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"NRUPEN A.","family":"BHAVSAR","sequence":"additional","affiliation":[{"name":"Duke University Department of Medicine  Durham, NC"},{"name":"Duke University Department of Biostatistics and Bioinformatics  Durham, NC"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"AMY","family":"LABRADOR","sequence":"additional","affiliation":[{"name":"Duke Margolis Center for Health Policy  Durham NC and Washington, DC"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2843-3812","authenticated-orcid":false,"given":"RUSHINA","family":"CHOLERA","sequence":"additional","affiliation":[{"name":"Duke Margolis Center for Health Policy  Durham NC and Washington, DC"},{"name":"Duke University Department of Pediatrics  Durham NC"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2022,12]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/1468-0009.12463"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.2105\/AJPH.2021.306317"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2020.36462"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1093\/geronb\/gbaa114"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.15585\/mmwr.mm6933e1"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.2105\/AJPH.2021.306167"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1097\/EDE.0000000000001314"},{"key":"e_1_2_6_9_1","volume-title":"What is health equity? 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