{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T03:46:05Z","timestamp":1787024765043,"version":"build-2736575974"},"reference-count":32,"publisher":"JMIR Publications Inc.","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Med Internet Res"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Disease status (eg, cancer stage) has been used in routine clinical practice to determine more accurate treatment plans. Health-related indicators, such as mortality, morbidity, and population group life expectancy, have also been used. However, few studies have specifically focused on the comprehensive and objective measures of individual health status.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>The aim of this study was to analyze the perspectives of the public toward 29 health indicators obtained from a literature review to provide evidence for further prioritization of the indicators. The difference between health status and disease status should be considered.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This study used a cross-sectional design. Online surveys were administered through Ohio University, ResearchMatch, and Clemson University, resulting in three samples. Participants aged 18 years or older rated the importance of the 29 health indicators. The rating results were aggregated and analyzed as follows (in each case, the dependent variables were the individual survey responses): (1) to determine the agreement among the three samples regarding the importance of each indicator, where the independent variables (IVs) were the three samples; (2) to examine the mean differences between the retained indicators with agreement across the three samples, where the IVs were the identified indicators; and (3) to rank the groups of indicators into various levels after grouping the indicators with no mean differences, where the IVs were the groups of indicators.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In total, 1153 valid responses were analyzed. Descriptive statistics revealed that the top five\u2013rated indicators were drug or substance abuse, smoking or tobacco use, alcohol abuse, major depression, and diet and nutrition. Among the 29 health indicators, the three samples agreed upon the importance of 13 indicators. Inferential statistical analysis indicated that some of the 13 indicators held equal importance. Therefore, the 13 indicators were categorized by rank into seven levels: level 1 included blood sugar level and immunization and vaccination; level 2 included LDL cholesterol; level 3 included HDL cholesterol, blood triglycerides, cancer screening detection, and total cholesterol; level 4 included health literacy rate; level 5 included personal care needs and air quality index greater than 100; level 6 included self-rated health status and HIV testing; and level 7 included the supply of dentists. Levels 1 to 3 were rated significantly higher than levels 4 to 7.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>This study provides a baseline for prioritizing 29 health indicators, which can be used by electronic health record or personal health record system designers or developers to determine what can be included in the systems to capture an individual\u2019s health status. Currently, self-rated health status is the predominantly used health indicator. Additionally, this study provides a foundation for tracking and measuring preventive health care services more accurately and for developing an individual health status index.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2196\/38099","type":"journal-article","created":{"date-parts":[[2022,5,27]],"date-time":"2022-05-27T16:47:18Z","timestamp":1653670038000},"page":"e38099","source":"Crossref","is-referenced-by-count":18,"title":["Health Indicators as Measures of Individual Health Status and Their Public Perspectives: Cross-sectional Survey Study"],"prefix":"10.2196","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7542-3804","authenticated-orcid":false,"given":"Temiloluwa","family":"Sokoya","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0925-5507","authenticated-orcid":false,"given":"Yuchun","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7155-6466","authenticated-orcid":false,"given":"Sebastian","family":"Diaz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3899-072X","authenticated-orcid":false,"given":"Timothy","family":"Law","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2641-1655","authenticated-orcid":false,"given":"Lina","family":"Himawan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3921-3092","authenticated-orcid":false,"given":"Francisca","family":"Lekey","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8352-2813","authenticated-orcid":false,"given":"Lu","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8185-4013","authenticated-orcid":false,"given":"Ronald W","family":"Gimbel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1916-4588","authenticated-orcid":false,"given":"Xia","family":"Jing","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2022,6,21]]},"reference":[{"key":"ref1","unstructured":"WoldCHealth Indicators: A Review of Reports Currently in Use2008072022-06-03Washington, DCThe State of the USAhttps:\/\/www.uc.pt\/fluc\/gigs\/GeoHealthS\/doc_apoio\/6_Health_Indicators_review_of_reports_currently_in_use_2008.pdf"},{"key":"ref2","author":"Blumenthal, D","year":"2015","journal-title":"Vital Signs: Core Metrics for Health and Health Care Progress"},{"key":"ref3","year":"2013","journal-title":"Toward Quality Measures for Population Health and the Leading Health Indicators"},{"key":"ref4","year":"2015","journal-title":"Capturing Social and Behavioral Domains and Measures in Electronic Health Records. Phase 2"},{"key":"ref5","year":"2014","journal-title":"Capturing Social and Behavioral Domains in Electronic Health Records. Phase 1"},{"key":"ref6","unstructured":"National Health Interview SurveyCenters for Disease Control and Prevention, National Center for Health Statistics2021-08-29https:\/\/www.cdc.gov\/nchs\/nhis\/index.htm"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.4065\/75.2.165"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.4065\/75.3.255"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48335-1_18"},{"key":"ref10","unstructured":"WardBWClarkeTCNugentCNSchillerJSEarly Release of Selected Estimates Based on Data From the 2015 National Health Interview Survey20162022-06-03Atlanta, GAUS Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statisticshttps:\/\/www.cdc.gov\/nchs\/data\/nhis\/earlyrelease\/earlyrelease 201605.pdf"},{"key":"ref11","year":"2009","journal-title":"State of the USA Health Indicators: Letter Report"},{"key":"ref12","unstructured":"State of Global Well-being: Results of the Gallup-Healthways Global Well-being Index20142022-06-12Washington, DCGallup, Inc, and Healthways, Inchttps:\/\/wellbeingindex.sharecare.com\/wp-content\/uploads\/2017\/12\/State-of-Global-Well-Being -2014.pdf"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10995-010-0575-x"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1186\/1478-4505-12-40"},{"key":"ref15","unstructured":"Healthy People 2020 Leading Health Indicators: Progress UpdateHealthyPeople.gov20142022-06-03Washington, DCUS Department of Health and Human Serviceshttps:\/\/www.healthypeople.gov\/2020\/leading-health-indicators\/Healthy-People -2020-Leading-Health-Indicators%3A-Progress-Update"},{"key":"ref16","year":"2020","journal-title":"Leading Health Indicators 2030: Advancing Health, Equity, and Well-Being"},{"key":"ref17","unstructured":"Measures codesArchive-It Wayback Machine20162022-06-12Baltimore, MDCenters for Medicare & Medicaid Serviceshttps:\/\/wayback.archive-it.org\/2744\/20160513011238\/https:\/\/www.cms.gov\/Medicare\/Quality-Initiatives-Patient-Assessment -Instruments\/PQRS\/MeasuresCodes.html"},{"key":"ref18","unstructured":"JingXOgundeyiTLekeyFLawTDiazSHealth indicators to measure individual health status: Public perspectives\u2013preliminary resultsProceedings of the AMIA 2019 Informatics Summit2019The AMIA 2019 Informatics SummitMarch 25-28, 2019San Francisco, CA970971"},{"key":"ref19","unstructured":"ResearchMatch2021-09-19https:\/\/www.researchmatch.org\/"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmva.2005.05.012"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/0021-9681(87)90171-8"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1080\/00273171.2011.568786"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2021.5686"},{"key":"ref24","unstructured":"Johns Hopkins ACG\u00ae System2021-09-19https:\/\/www.hopkinsacg.org\/"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1097\/00005650-199206000-00002"},{"key":"ref26","unstructured":"12-Item Short Form Survey (SF-12)RAND Corporation2021-09-28https:\/\/www.rand.org\/health-care\/surveys_tools\/mos\/12-item-short-form.html"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1046\/j.1525-1497.2001.016009606.x"},{"key":"ref28","unstructured":"Leading Health IndicatorsHealth.gov2021-08-30https:\/\/health.gov\/healthypeople\/objectives-and-data\/leading-health-indicators"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1186\/s12913-017-2303-3"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18553\/jmcp.2018.24.9-a.s5"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMsr1809937"},{"key":"ref32","unstructured":"UK Biobank2022-06-03https:\/\/www.ukbiobank.ac.uk\/"}],"container-title":["Journal of Medical Internet Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jmir.org\/2022\/6\/e38099","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T17:33:34Z","timestamp":1782840814000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jmir.org\/2022\/6\/e38099"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,21]]},"references-count":32,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2022]]}},"URL":"https:\/\/doi.org\/10.2196\/38099","relation":{"has-preprint":[{"id-type":"doi","id":"10.2196\/preprints.38099","asserted-by":"object"},{"id-type":"doi","id":"10.1101\/2022.03.04.22271701","asserted-by":"object"}]},"ISSN":["1438-8871"],"issn-type":[{"value":"1438-8871","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,21]]}}}