{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T23:56:01Z","timestamp":1778025361822,"version":"3.51.4"},"reference-count":29,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T00:00:00Z","timestamp":1764892800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002341","name":"Academy of Finland","doi-asserted-by":"publisher","award":["339390"],"award-info":[{"award-number":["339390"]}],"id":[{"id":"10.13039\/501100002341","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,2,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>There is a need to efficiently identify groups at risk of unmet health service needs. In response, we developed and evaluated the performance of a regression model to assess unmet health service needs in the Finnish population. The study population consisted of population-based Healthy Finland 2022-cohort participants (N\u2009=\u200918\u00a0442), aged 20\u2013104. The primary outcome was self-reported unmet need for physician\u2019s or nurse\u2019s services. A total of 38 potential risk factors were evaluated. Statistical models were developed using bootstrap-enhanced LASSO regression (bolasso). Of the participants, 5875 (32%) were classified as experiencing unmet health care need. The C-index from the final model including 15 predictors from the best bolasso models varied between 0.73 and 0.76 and pooled C-index over the imputed data sets was 0.75 (95% CI 0.70\u20130.79). Fifteen factors\u2014including health-related, socioeconomic variables, heavy alcohol use, experiences with health services, caregiving for others, and language group\u2014were found to be strongly associated with an increased risk of unmet health care needs and may be a useful targets for preventing unmet health care need.<\/jats:p>","DOI":"10.1093\/eurpub\/ckaf217","type":"journal-article","created":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T12:28:48Z","timestamp":1763382528000},"page":"64-70","source":"Crossref","is-referenced-by-count":1,"title":["Risk factors for unmet health care need: evidence from the large population-based Healthy Finland 2022-cohort"],"prefix":"10.1093","volume":"36","author":[{"given":"Marko","family":"Elovainio","sequence":"first","affiliation":[{"name":"Research Program Unit, Faculty of Medicine, University of Helsinki , Helsinki,","place":["Finland"]},{"name":"Department of Psychology, Faculty of Medicine, University of Helsinki , Helsinki,","place":["Finland"]},{"name":"Department of Health service Research, Finnish Institute for Health and Welfare , Helsinki,","place":["Finland"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6263-2298","authenticated-orcid":false,"given":"Tuija","family":"J\u00e4\u00e4skel\u00e4inen","sequence":"additional","affiliation":[{"name":"Department of Public Health and Welfare, Finnish Institute for Health and Welfare , Helsinki,","place":["Finland"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seppo","family":"Koskinen","sequence":"additional","affiliation":[{"name":"Department of Public Health and Welfare, Finnish Institute for Health and Welfare , Helsinki,","place":["Finland"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anna-Mari","family":"Aalto","sequence":"additional","affiliation":[{"name":"Department of Health service Research, Finnish Institute for Health and Welfare , 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