{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T22:11:22Z","timestamp":1777932682785,"version":"3.51.4"},"reference-count":37,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Population Health Management"],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:p>\n                    Population health research has long demonstrated that where someone lives is highly correlated with health outcomes and quality of life. This study explored if this relationship remained between zip code socioeconomic deprivation index (SDI) and member-reported healthy days among commercially insured adults interacting with virtual care and navigation services between May 1, 2023 and May 31, 2024, offered by Included Health. Members received an SMS-based survey that included the 4 Centers for Disease Control and Prevention Healthy Days questions after interacting with the digital health application. The proportion of members who reported frequent (14 or more) physically unhealthy, mentally unhealthy, and total unhealthy days during the past 30 days was calculated. The adjusted odds ratio for reporting frequent total unhealthy days was estimated by members\u2019 zip code SDI quartile, accounting for member demographic characteristics. Of the 6692 survey respondents, 13.7% reported frequent physically unhealthy days, 20.8% reported frequent mentally unhealthy days, and 29.2% reported frequent total unhealthy days. After adjusting for covariates, members in the highest SDI quartile were 1.2 times more likely to report frequent unhealthy days (\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    = 0.047) than those in the lowest SDI quartile. The results demonstrate the importance of geographic indices, in the absence of other data, to assist employers in identifying members with potentially higher need of digital health services. It also highlights the feasibility of collecting quality of life measures to identify members who could benefit from timely intervention.\n                  <\/jats:p>","DOI":"10.1089\/pop.2024.0202","type":"journal-article","created":{"date-parts":[[2025,1,31]],"date-time":"2025-01-31T07:59:21Z","timestamp":1738310361000},"page":"71-80","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Relationship Between Socioeconomic Deprivation and Healthy Days Among Commercially Insured Adults Using a Digital Health Application: An Observational Study"],"prefix":"10.1177","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3451-2624","authenticated-orcid":false,"given":"Jaclyn","family":"Marshall","sequence":"first","affiliation":[{"name":"Included Health, San Francisco, California, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oliver-John M.","family":"Bright","sequence":"additional","affiliation":[{"name":"Included Health, San Francisco, California, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicholas","family":"Leiby","sequence":"additional","affiliation":[{"name":"Included Health, San Francisco, California, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Todd","family":"Thames","sequence":"additional","affiliation":[{"name":"Included Health, San Francisco, California, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexandra","family":"Yurkovic","sequence":"additional","affiliation":[{"name":"Included Health, San Francisco, California, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2025,4,18]]},"reference":[{"key":"e_1_3_6_2_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2017.0918"},{"key":"e_1_3_6_3_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2022.35912"},{"key":"e_1_3_6_4_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2021.8799"},{"key":"e_1_3_6_5_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2023.46864"},{"key":"e_1_3_6_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.amepre.2015.08.024"},{"key":"e_1_3_6_7_2","unstructured":"Hostetter M Klein S Commonwealth Fund. Using patient-reported outcomes to improve health care quality. Available from: https:\/\/www.commonwealthfund.org\/publications\/newsletter-article\/using-patient-reported-outcomes-improve-health-care-quality [Accessed August 7 2024]."},{"key":"e_1_3_6_8_2","volume-title":"CMS\u2019s universal foundation measures are not universally good for primary care","author":"Phillips RL","year":"2023","unstructured":"Phillips RLJr, , Etz R. CMS\u2019s universal foundation measures are not universally good for primary care. Health Affairs Forefront; 2023."},{"key":"e_1_3_6_9_2","unstructured":"HealthyPeople.gov. Foundation health measures. General Health Measures. 2017. Available from: https:\/\/wayback.archive-it.org\/5774\/20170103200800\/https:\/\/www.healthypeople.gov\/2020\/about\/Foundation-Health-Measures [Accessed August 26 2024]."},{"key":"e_1_3_6_10_2","doi-asserted-by":"publisher","DOI":"10.1097\/PHH.0000000000001424"},{"key":"e_1_3_6_11_2","unstructured":"Centers for Disease Control and Prevention. Measuring Healthy Days. Atlanta Georgia: CDC November 2000. Available from: https:\/\/archive.cdc.gov\/#\/details?url=https:\/\/www.cdc.gov\/hrqol\/pdfs\/mhd.pdf [Accessed July 15 2024]."},{"key":"e_1_3_6_12_2","doi-asserted-by":"publisher","DOI":"10.1186\/1477-7525-1-37"},{"key":"e_1_3_6_13_2","doi-asserted-by":"publisher","DOI":"10.1089\/pop.2017.0142"},{"key":"e_1_3_6_14_2","doi-asserted-by":"publisher","DOI":"10.1089\/pop.2022.0079"},{"key":"e_1_3_6_15_2","doi-asserted-by":"publisher","DOI":"10.2196\/35352"},{"key":"e_1_3_6_16_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10900-009-9173-5"},{"key":"e_1_3_6_17_2","doi-asserted-by":"publisher","DOI":"10.1177\/21582440231194163"},{"key":"e_1_3_6_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.amepre.2018.04.045"},{"key":"e_1_3_6_19_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13524-018-0714-3"},{"key":"e_1_3_6_20_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10900-017-0366-z"},{"key":"e_1_3_6_21_2","doi-asserted-by":"publisher","DOI":"10.1089\/pop.2015.0162"},{"key":"e_1_3_6_22_2","unstructured":"Social deprivation index (SDI). Robert Graham Center - policy studies in family medicine & primary care. November 29 2021. Available from: https:\/\/www.graham-center.org\/maps-data-tools\/social-deprivation-index.html [Accessed November 5 2018]."},{"key":"e_1_3_6_23_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.mayocp.2022.01.018"},{"key":"e_1_3_6_24_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCHEARTFAILURE.120.007947"},{"key":"e_1_3_6_25_2","unstructured":"United States Census Bureau. North American Industry Classification System. September 3 2024. Available from: https:\/\/www.census.gov\/naics\/?58967?yearbck=2022"},{"key":"e_1_3_6_26_2","doi-asserted-by":"publisher","DOI":"10.5600\/mmrr2014-004-03-a03"},{"key":"e_1_3_6_27_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0292739"},{"key":"e_1_3_6_28_2","unstructured":"Centers for Disease Control & Prevention. Behavioral risk factor surveillance system web enabled analysis tool. August 15 2024. 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