{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T13:38:26Z","timestamp":1770989906046,"version":"3.50.1"},"reference-count":40,"publisher":"Oxford University Press (OUP)","issue":"11","license":[{"start":{"date-parts":[[2023,7,26]],"date-time":"2023-07-26T00:00:00Z","timestamp":1690329600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,10,19]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>Theory-based research of social and behavioral determinants of health (SBDH) found SBDH-related patterns in interventions and outcomes for pregnant\/birthing people. The objectives of this study were to replicate the theory-based SBDH study with a new sample, and to compare these findings to a data-driven SBDH study.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and Methods<\/jats:title>\n                  <jats:p>Using deidentified public health nurse-generated Omaha System data, 2 SBDH indices were computed separately to create groups based on SBDH (0\u20135+ signs\/symptoms). The data-driven SBDH index used multiple linear regression with backward elimination to identify SBDH factors. Changes in Knowledge, Behavior, and Status (KBS) outcomes, numbers of interventions, and adjusted R-squared statistics were computed for both models.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>There were 4109 clients ages 13\u201340\u00a0years. Outcome patterns aligned with the original research: KBS increased from admission to discharge with Knowledge improving the most; discharge KBS decreased as SBDH increased; and interventions increased as SBDH increased. Slopes of the data-driven model were steeper, showing clearer KBS trends for data-driven SBDH groups. The theory-based model adjusted R-squared was 0.54 (SE\u2009=\u20090.38) versus 0.61 (SE\u2009=\u20090.35) for the data-driven model with an entirely different set of SBDH factors.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>The theory-based approach provided a framework to identity patterns and relationships and may be applied consistently across studies and populations. In contrast, the data-driven approach can provide insights based on novel patterns for a given dataset and reveal insights and relationships not predicted by existing theories. Data-driven methods may be an advantage if there is sufficiently comprehensive SBDH data upon which to create the data-driven models.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jamia\/ocad148","type":"journal-article","created":{"date-parts":[[2023,7,26]],"date-time":"2023-07-26T23:00:48Z","timestamp":1690412448000},"page":"1818-1825","source":"Crossref","is-referenced-by-count":9,"title":["Advantages and disadvantages of using theory-based versus data-driven models with social and behavioral determinants of health data"],"prefix":"10.1093","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1993-4623","authenticated-orcid":false,"given":"Robin R","family":"Austin","sequence":"first","affiliation":[{"name":"School of Nursing, University of Minnesota , Minneapolis, Minnesota, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4421-2083","authenticated-orcid":false,"given":"Tara M","family":"McLane","sequence":"additional","affiliation":[{"name":"Dakota County Public Health , Apple Valley, Minnesota, USA"}]},{"given":"David S","family":"Pieczkiewicz","sequence":"additional","affiliation":[{"name":"Institute for Health Informatics, University of Minnesota , Minneapolis, Minnesota, USA"}]},{"given":"Terrence","family":"Adam","sequence":"additional","affiliation":[{"name":"Institute for Health Informatics, University of Minnesota , Minneapolis, Minnesota, USA"},{"name":"College of Pharmacy, University of Minnesota , Minneapolis, Minnesota, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0196-9799","authenticated-orcid":false,"given":"Karen A","family":"Monsen","sequence":"additional","affiliation":[{"name":"School of Nursing, University of Minnesota , Minneapolis, Minnesota, USA"},{"name":"Institute for Health Informatics, University of Minnesota , Minneapolis, Minnesota, USA"}]}],"member":"286","published-online":{"date-parts":[[2023,7,26]]},"reference":[{"key":"2023101911525059500_ocad148-B1","author":"World Health Organization","year":"2019"},{"key":"2023101911525059500_ocad148-B2","volume-title":"Institute of Medicine of the National Academies Committee on the Recommended Social and Behavioral Domains and Measures for Electronic Health Records. 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