{"id":5903,"date":"2024-01-11T15:13:00","date_gmt":"2024-01-11T21:13:00","guid":{"rendered":"https:\/\/uwm.edu\/icfw\/?p=5903"},"modified":"2024-01-18T14:22:20","modified_gmt":"2024-01-18T20:22:20","slug":"predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach","status":"publish","type":"post","link":"https:\/\/uwm.edu\/icfw\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\/","title":{"rendered":"Predicting mental and behavioral health service utilization among child welfare-involved caregivers: A machine learning approach"},"content":{"rendered":"\n<p>Janczewski, C. E., &amp; Nitkowski, J. (2023). Predicting mental and behavioral health service utilization among child welfare-involved caregivers: A machine learning approach.&nbsp;<em>Children and Youth Services Review<\/em>,&nbsp;<em>155<\/em>,&nbsp;107150.<\/p>\n\n\n\n<p><strong>Abstract<\/strong><\/p>\n\n\n\n<p id=\"sp0010\">Caregiver substance misuse (SM) and mental illness (MI) are risk factors for child abuse and neglect and are associated with more intensive CPS involvement including increased risk of foster care placement and multiple re-reports. This study examines the prevalence of SM and MI among 929 CPS-involved caregivers during the early phases of CPS involvement and explores the extent to which family and CPS-case characteristics predict referral and service receipt. We used a machine learning approach to identify the strongest predictors of SM and MI service receipt by comparing the predictive strength of random forest and&nbsp;logistic regression&nbsp;models. Results indicate a high prevalence of self-reported need for SM (13%) and MI (34%) services among caregivers. Nearly one-quarter (23.5%) of caregivers with SM needs and 34% of caregivers with MI needs did not receive needed services. Frequent contact with CPS workers, adverse experiences in adulthood, and court involvement were strong predictors of both SM and MI service uptake. Findings suggest the need for consistent screening for SM and MI among primary caregivers at the early stages of CPS-involvement, as well as enhanced referral practices. Machine learning applications for applied social science researchers are also discussed.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0190740923003468\">Link to publication<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Janczewski, C. E., &amp; Nitkowski, J. (2023). This study examines the prevalence of SM and MI among 929 CPS-involved caregivers during the early phases of CPS involvement and explores the extent to which family and CPS-case characteristics predict referral and service receipt.<\/p>\n","protected":false},"author":1289,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","uwm_wg_additional_authors":[]},"categories":[44,40,42,25,11],"tags":[],"class_list":["post-5903","post","type-post","status-publish","format-standard","hentry","category-all-publications","category-child-family-wellbeing-publications","category-health-mental-health-publications","category-journal-articles","category-publications"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Predicting mental and behavioral health service utilization among child welfare-involved caregivers: A machine learning approach - Institute for Child and Family Well-Being<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/uwm.edu\/icfw\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Predicting mental and behavioral health service utilization among child welfare-involved caregivers: A machine learning approach\" \/>\n<meta property=\"og:description\" content=\"Janczewski, C. E., &amp; Nitkowski, J. (2023). This study examines the prevalence of SM and MI among 929 CPS-involved caregivers during the early phases of CPS involvement and explores the extent to which family and CPS-case characteristics predict referral and service receipt.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/uwm.edu\/icfw\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\/\" \/>\n<meta property=\"og:site_name\" content=\"Institute for Child and Family Well-Being\" \/>\n<meta property=\"article:published_time\" content=\"2024-01-11T21:13:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-01-18T20:22:20+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/uwm.edu\\\/icfw\\\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/uwm.edu\\\/icfw\\\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\\\/\"},\"author\":{\"name\":\"\",\"@id\":\"\"},\"headline\":\"Predicting mental and behavioral health service utilization among child welfare-involved caregivers: A machine learning approach\",\"datePublished\":\"2024-01-11T21:13:00+00:00\",\"dateModified\":\"2024-01-18T20:22:20+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/uwm.edu\\\/icfw\\\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\\\/\"},\"wordCount\":239,\"articleSection\":[\"All Publications\",\"Child &amp; Family Well-Being\",\"Health &amp; Mental Health\",\"Journal Articles\",\"Publications\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/uwm.edu\\\/icfw\\\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\\\/\",\"url\":\"https:\\\/\\\/uwm.edu\\\/icfw\\\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\\\/\",\"name\":\"Predicting mental and behavioral health service utilization among child welfare-involved caregivers: A machine learning approach - Institute for Child and Family Well-Being\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/uwm.edu\\\/icfw\\\/#website\"},\"datePublished\":\"2024-01-11T21:13:00+00:00\",\"dateModified\":\"2024-01-18T20:22:20+00:00\",\"author\":{\"@id\":\"\"},\"breadcrumb\":{\"@id\":\"https:\\\/\\\/uwm.edu\\\/icfw\\\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/uwm.edu\\\/icfw\\\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/uwm.edu\\\/icfw\\\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/uwm.edu\\\/icfw\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Predicting mental and behavioral health service utilization among child welfare-involved caregivers: A machine learning approach\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/uwm.edu\\\/icfw\\\/#website\",\"url\":\"https:\\\/\\\/uwm.edu\\\/icfw\\\/\",\"name\":\"Institute for Child and Family Well-Being\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/uwm.edu\\\/icfw\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"\",\"url\":\"https:\\\/\\\/uwm.edu\\\/icfw\\\/author\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Predicting mental and behavioral health service utilization among child welfare-involved caregivers: A machine learning approach - Institute for Child and Family Well-Being","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/uwm.edu\/icfw\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\/","og_locale":"en_US","og_type":"article","og_title":"Predicting mental and behavioral health service utilization among child welfare-involved caregivers: A machine learning approach","og_description":"Janczewski, C. E., &amp; Nitkowski, J. (2023). This study examines the prevalence of SM and MI among 929 CPS-involved caregivers during the early phases of CPS involvement and explores the extent to which family and CPS-case characteristics predict referral and service receipt.","og_url":"https:\/\/uwm.edu\/icfw\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\/","og_site_name":"Institute for Child and Family Well-Being","article_published_time":"2024-01-11T21:13:00+00:00","article_modified_time":"2024-01-18T20:22:20+00:00","twitter_card":"summary_large_image","twitter_misc":{"Written by":""},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/uwm.edu\/icfw\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\/#article","isPartOf":{"@id":"https:\/\/uwm.edu\/icfw\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\/"},"author":{"name":"","@id":""},"headline":"Predicting mental and behavioral health service utilization among child welfare-involved caregivers: A machine learning approach","datePublished":"2024-01-11T21:13:00+00:00","dateModified":"2024-01-18T20:22:20+00:00","mainEntityOfPage":{"@id":"https:\/\/uwm.edu\/icfw\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\/"},"wordCount":239,"articleSection":["All Publications","Child &amp; Family Well-Being","Health &amp; Mental Health","Journal Articles","Publications"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/uwm.edu\/icfw\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\/","url":"https:\/\/uwm.edu\/icfw\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\/","name":"Predicting mental and behavioral health service utilization among child welfare-involved caregivers: A machine learning approach - Institute for Child and Family Well-Being","isPartOf":{"@id":"https:\/\/uwm.edu\/icfw\/#website"},"datePublished":"2024-01-11T21:13:00+00:00","dateModified":"2024-01-18T20:22:20+00:00","author":{"@id":""},"breadcrumb":{"@id":"https:\/\/uwm.edu\/icfw\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/uwm.edu\/icfw\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/uwm.edu\/icfw\/predicting-mental-and-behavioral-health-service-utilization-among-child-welfare-involved-caregivers-a-machine-learning-approach\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/uwm.edu\/icfw\/"},{"@type":"ListItem","position":2,"name":"Predicting mental and behavioral health service utilization among child welfare-involved caregivers: A machine learning approach"}]},{"@type":"WebSite","@id":"https:\/\/uwm.edu\/icfw\/#website","url":"https:\/\/uwm.edu\/icfw\/","name":"Institute for Child and Family Well-Being","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/uwm.edu\/icfw\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"","url":"https:\/\/uwm.edu\/icfw\/author\/"}]}},"acf":[],"_links":{"self":[{"href":"https:\/\/uwm.edu\/icfw\/wp-json\/wp\/v2\/posts\/5903","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/uwm.edu\/icfw\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/uwm.edu\/icfw\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/uwm.edu\/icfw\/wp-json\/wp\/v2\/users\/1289"}],"replies":[{"embeddable":true,"href":"https:\/\/uwm.edu\/icfw\/wp-json\/wp\/v2\/comments?post=5903"}],"version-history":[{"count":1,"href":"https:\/\/uwm.edu\/icfw\/wp-json\/wp\/v2\/posts\/5903\/revisions"}],"predecessor-version":[{"id":5904,"href":"https:\/\/uwm.edu\/icfw\/wp-json\/wp\/v2\/posts\/5903\/revisions\/5904"}],"wp:attachment":[{"href":"https:\/\/uwm.edu\/icfw\/wp-json\/wp\/v2\/media?parent=5903"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/uwm.edu\/icfw\/wp-json\/wp\/v2\/categories?post=5903"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/uwm.edu\/icfw\/wp-json\/wp\/v2\/tags?post=5903"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}