Oladunni Oluwoye, Khairul A Siddiqi, Bryony Stokes, Sheldon Stokes
{"title":"在多地点协调专科护理计划网络中,为数据驱动的护理内容提供实施支持。","authors":"Oladunni Oluwoye, Khairul A Siddiqi, Bryony Stokes, Sheldon Stokes","doi":"10.1093/tbm/ibae011","DOIUrl":null,"url":null,"abstract":"<p><p>Beyond training providers prior to the roll-out of coordinated specialty care (CSC) for first-episode psychosis in clinical settings, implementation support for data-informed care remains an area that has received very little attention. The current paper describes the development and refinement of implementation support for the data-driven components of care in the New Journeys network, Washington State's CSC model for psychosis, comprised of 14 CSC programs. Using the Evidence-Based System for Innovation Support Logic Model, this paper outlines the individual components for implementation support, tools, training, technical assistance, and quality improvement/evaluation that have been developed for the New Journeys network. We present examples of modifications that have occurred over nine years to address the needs of clients, providers, and state-level network administrators to facilitate the data-driven components of care. We conclude with recommendations based on lessons learned in Washington State aimed at improving implementation of data-driven care in CSC models throughout the USA.</p>","PeriodicalId":48679,"journal":{"name":"Translational Behavioral Medicine","volume":" ","pages":"225-233"},"PeriodicalIF":3.6000,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10956960/pdf/","citationCount":"0","resultStr":"{\"title\":\"Implementation support for the data-driven components of care in a multisite network of coordinated specialty care programs.\",\"authors\":\"Oladunni Oluwoye, Khairul A Siddiqi, Bryony Stokes, Sheldon Stokes\",\"doi\":\"10.1093/tbm/ibae011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Beyond training providers prior to the roll-out of coordinated specialty care (CSC) for first-episode psychosis in clinical settings, implementation support for data-informed care remains an area that has received very little attention. The current paper describes the development and refinement of implementation support for the data-driven components of care in the New Journeys network, Washington State's CSC model for psychosis, comprised of 14 CSC programs. Using the Evidence-Based System for Innovation Support Logic Model, this paper outlines the individual components for implementation support, tools, training, technical assistance, and quality improvement/evaluation that have been developed for the New Journeys network. We present examples of modifications that have occurred over nine years to address the needs of clients, providers, and state-level network administrators to facilitate the data-driven components of care. We conclude with recommendations based on lessons learned in Washington State aimed at improving implementation of data-driven care in CSC models throughout the USA.</p>\",\"PeriodicalId\":48679,\"journal\":{\"name\":\"Translational Behavioral Medicine\",\"volume\":\" \",\"pages\":\"225-233\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2024-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10956960/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Translational Behavioral Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/tbm/ibae011\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational Behavioral Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/tbm/ibae011","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Implementation support for the data-driven components of care in a multisite network of coordinated specialty care programs.
Beyond training providers prior to the roll-out of coordinated specialty care (CSC) for first-episode psychosis in clinical settings, implementation support for data-informed care remains an area that has received very little attention. The current paper describes the development and refinement of implementation support for the data-driven components of care in the New Journeys network, Washington State's CSC model for psychosis, comprised of 14 CSC programs. Using the Evidence-Based System for Innovation Support Logic Model, this paper outlines the individual components for implementation support, tools, training, technical assistance, and quality improvement/evaluation that have been developed for the New Journeys network. We present examples of modifications that have occurred over nine years to address the needs of clients, providers, and state-level network administrators to facilitate the data-driven components of care. We conclude with recommendations based on lessons learned in Washington State aimed at improving implementation of data-driven care in CSC models throughout the USA.
期刊介绍:
Translational Behavioral Medicine publishes content that engages, informs, and catalyzes dialogue about behavioral medicine among the research, practice, and policy communities. TBM began receiving an Impact Factor in 2015 and currently holds an Impact Factor of 2.989.
TBM is one of two journals published by the Society of Behavioral Medicine. The Society of Behavioral Medicine is a multidisciplinary organization of clinicians, educators, and scientists dedicated to promoting the study of the interactions of behavior with biology and the environment, and then applying that knowledge to improve the health and well-being of individuals, families, communities, and populations.