FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3010812596> ?p ?o ?g. }

• W3010812596 abstract "Clinical trials embedded in health systems can randomize large populations using automated data sources to determine trial eligibility and assess outcomes. The suicide prevention outreach trial used real-world data for trial design and randomized 18,868 individuals in four health systems using patient-reported thoughts of death or self-harm (Patient Health Questionnaire item 9). This took 3.5 years. We consider if using predictive analytics, that is, suicide risk estimates based on prediction models, could improve trial “efficiency.” We used data on mental health outpatient visits between 1 January 2009 and 30 September 2017 in seven health systems (HealthPartners; Henry Ford Health System; and Colorado, Hawaii, Northwest, Southern California, and Washington Kaiser Permanente regions). We used a suicide risk prediction model developed in these same systems. We compared five trial designs with different eligibility criteria: a response of a 2 or 3 on Patient Health Questionnaire item 9, a response of a 3, suicide risk score above 90th, 95th, or 99th percentile. We compared the sample that met each criterion, 90-day suicide attempt rate following first eligible visit, and necessary sample sizes to detect a 15%, 25%, and 35% relative reduction in the suicide attempt rate, assuming 90% power, for each eligibility criterion. Our sample included 24,355,599 outpatient visits. Despite wide-spread use of Patient Health Questionnaire, 21,026,985 (86.3%) visits did not have a recorded Patient Health Questionnaire. Of the 2,928,927 individuals in our sample, 109,861 had a recorded Patient Health Questionnaire item 9 response of a 2 or 3 over the study years with a 1.40% 90-day suicide attempt rate and 50,047 had a response of a 3 (suicide attempt rate 1.98%). More patients met criteria requiring a certain risk score or higher: 331,273 had a 90th percentile risk score or higher (suicide attempt rate: 1.36%); 182,316 a 95th percentile or higher (suicide attempt rate 2.16%), and 78,655 a 99th percentile or higher (suicide attempt rate: 3.95%). Eligibility criterion of a Patient Health Questionnaire item 9 response of a 2 or 3 would require randomizing 44,081 individuals (40.2% of eligible population in our sample); eligibility criterion of a 3 would require 31,024 individuals (62.0% of eligible population). Eligibility criterion of a suicide risk score of 90th percentile or higher would require 45,675 individuals (13.8% of eligible population), 95th percentile 28,699 individuals (15.7% of eligible population), and 99th percentile 15,509 (19.7% of eligible population). A suicide risk prediction calculator could improve trial “efficiency”; identifying more individuals at increased suicide risk than relying on patient-report. It is an open scientific question if individuals identified using predictive analytics would respond differently to interventions than those identified by more traditional means." @default.
• W3010812596 created "2020-03-23" @default.
• W3010812596 creator A5006606212 @default.
• W3010812596 creator A5040344572 @default.
• W3010812596 date "2020-03-10" @default.
• W3010812596 modified "2023-10-12" @default.
• W3010812596 title "Using predictive analytics to improve pragmatic trial design" @default.
• W3010812596 cites W1480376833 @default.
• W3010812596 cites W2057468507 @default.
• W3010812596 cites W2078018971 @default.
• W3010812596 cites W2103725571 @default.
• W3010812596 cites W2118343190 @default.
• W3010812596 cites W2121468917 @default.
• W3010812596 cites W2128659393 @default.
• W3010812596 cites W2132322340 @default.
• W3010812596 cites W2135046866 @default.
• W3010812596 cites W2294027214 @default.
• W3010812596 cites W2473052010 @default.
• W3010812596 cites W2520553003 @default.
• W3010812596 cites W2549390881 @default.
• W3010812596 cites W2725461439 @default.
• W3010812596 cites W2804266670 @default.
• W3010812596 cites W2921684641 @default.
• W3010812596 cites W2921881483 @default.
• W3010812596 cites W2922251226 @default.
• W3010812596 cites W4211177544 @default.
• W3010812596 doi "https://doi.org/10.1177/1740774520910367" @default.
• W3010812596 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7931633" @default.
• W3010812596 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32153209" @default.
• W3010812596 hasPublicationYear "2020" @default.
• W3010812596 type Work @default.
• W3010812596 sameAs 3010812596 @default.
• W3010812596 citedByCount "0" @default.
• W3010812596 crossrefType "journal-article" @default.
• W3010812596 hasAuthorship W3010812596A5006606212 @default.
• W3010812596 hasAuthorship W3010812596A5040344572 @default.
• W3010812596 hasBestOaLocation W30108125962 @default.
• W3010812596 hasConcept C105795698 @default.
• W3010812596 hasConcept C118552586 @default.
• W3010812596 hasConcept C122048520 @default.
• W3010812596 hasConcept C129848803 @default.
• W3010812596 hasConcept C134362201 @default.
• W3010812596 hasConcept C141071460 @default.
• W3010812596 hasConcept C142724271 @default.
• W3010812596 hasConcept C168563851 @default.
• W3010812596 hasConcept C2776641880 @default.
• W3010812596 hasConcept C3017944768 @default.
• W3010812596 hasConcept C33923547 @default.
• W3010812596 hasConcept C512399662 @default.
• W3010812596 hasConcept C526869908 @default.
• W3010812596 hasConcept C535046627 @default.
• W3010812596 hasConcept C545542383 @default.
• W3010812596 hasConcept C71924100 @default.
• W3010812596 hasConceptScore W3010812596C105795698 @default.
• W3010812596 hasConceptScore W3010812596C118552586 @default.
• W3010812596 hasConceptScore W3010812596C122048520 @default.
• W3010812596 hasConceptScore W3010812596C129848803 @default.
• W3010812596 hasConceptScore W3010812596C134362201 @default.
• W3010812596 hasConceptScore W3010812596C141071460 @default.
• W3010812596 hasConceptScore W3010812596C142724271 @default.
• W3010812596 hasConceptScore W3010812596C168563851 @default.
• W3010812596 hasConceptScore W3010812596C2776641880 @default.
• W3010812596 hasConceptScore W3010812596C3017944768 @default.
• W3010812596 hasConceptScore W3010812596C33923547 @default.
• W3010812596 hasConceptScore W3010812596C512399662 @default.
• W3010812596 hasConceptScore W3010812596C526869908 @default.
• W3010812596 hasConceptScore W3010812596C535046627 @default.
• W3010812596 hasConceptScore W3010812596C545542383 @default.
• W3010812596 hasConceptScore W3010812596C71924100 @default.
• W3010812596 hasFunder F4320337346 @default.
• W3010812596 hasLocation W30108125961 @default.
• W3010812596 hasLocation W30108125962 @default.
• W3010812596 hasOpenAccess W3010812596 @default.
• W3010812596 hasPrimaryLocation W30108125961 @default.
• W3010812596 hasRelatedWork W11787883 @default.
• W3010812596 hasRelatedWork W13461986 @default.
• W3010812596 hasRelatedWork W15204632 @default.
• W3010812596 hasRelatedWork W17899251 @default.
• W3010812596 hasRelatedWork W20658653 @default.
• W3010812596 hasRelatedWork W22227414 @default.
• W3010812596 hasRelatedWork W3796400 @default.
• W3010812596 hasRelatedWork W4801731 @default.
• W3010812596 hasRelatedWork W5808571 @default.
• W3010812596 hasRelatedWork W18200682 @default.
• W3010812596 isParatext "false" @default.
• W3010812596 isRetracted "false" @default.
• W3010812596 magId "3010812596" @default.
• W3010812596 workType "article" @default.