Patricia B Nemec1, Steven Chan2. 1. Nemec Consulting. 2. Clinical Informatics, Division of Hospital Medicine, University of California, San Francisco.
Abstract
TOPIC: This column describes challenges for hiring, training, and supervising psychiatric rehabilitation service providers for positions that involve the use of digital health technology. PURPOSE: Adoption and implementation of any new technology or technique requires workforce development. This article outlines considerations for policymakers, funders, and service agency administrators as digital health technologies become more widespread. SOURCES USED: The article discusses issues based on professional experience of the authors and available literature. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: The literature on adoption of innovations in general, and the adoption of psychiatric evidence-based practices in particular, indicates that funding and adoption of new techniques and technologies are not adequate to ensure full and sustained implementation. The use of any new treatment or technology requires training and other supports to ensure that users have the competencies needed to make it work and that the workplace supports its use. As new digital health technologies become available, considerations of their cost and effectiveness need to include an examination of the required competencies of the service providers who will use them and the added cost of developing, enhancing, and maintaining those competencies. Specific attitudes, knowledge, and skills will be relevant to hiring decisions. Relevant preservice and on-the-job training opportunities, technical assistance, and supervision will be needed. Implementation needs to be monitored, not assumed, and the rights of the people who use technology-supported services must be fully protected. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
TOPIC: This column describes challenges for hiring, training, and supervising psychiatric rehabilitation service providers for positions that involve the use of digital health technology. PURPOSE: Adoption and implementation of any new technology or technique requires workforce development. This article outlines considerations for policymakers, funders, and service agency administrators as digital health technologies become more widespread. SOURCES USED: The article discusses issues based on professional experience of the authors and available literature. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: The literature on adoption of innovations in general, and the adoption of psychiatric evidence-based practices in particular, indicates that funding and adoption of new techniques and technologies are not adequate to ensure full and sustained implementation. The use of any new treatment or technology requires training and other supports to ensure that users have the competencies needed to make it work and that the workplace supports its use. As new digital health technologies become available, considerations of their cost and effectiveness need to include an examination of the required competencies of the service providers who will use them and the added cost of developing, enhancing, and maintaining those competencies. Specific attitudes, knowledge, and skills will be relevant to hiring decisions. Relevant preservice and on-the-job training opportunities, technical assistance, and supervision will be needed. Implementation needs to be monitored, not assumed, and the rights of the people who use technology-supported services must be fully protected. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Authors: Suepattra G May; Caroline Huber; Meaghan Roach; Jason Shafrin; Wade Aubry; Darius Lakdawalla; John M Kane; Felicia Forma Journal: J Med Internet Res Date: 2021-02-03 Impact factor: 5.428
Authors: William Perry; Laura Lacritz; Tresa Roebuck-Spencer; Cheryl Silver; Robert L Denney; John Meyers; Charles E McConnel; Neil Pliskin; Deb Adler; Christopher Alban; Mark Bondi; Michelle Braun; Xavier Cagigas; Morgan Daven; Lisa Drozdick; Norman L Foster; Ula Hwang; Laurie Ivey; Grant Iverson; Joel Kramer; Melinda Lantz; Lisa Latts; Shari M Ling; Ana Maria Lopez; Michael Malone; Lori Martin-Plank; Katie Maslow; Don Melady; Melissa Messer; Randi Most; Margaret P Norris; David Shafer; Nina Silverberg; Colin M Thomas; Laura Thornhill; Jean Tsai; Nirav Vakharia; Martin Waters; Tamara Golden Journal: Arch Clin Neuropsychol Date: 2018-09-01 Impact factor: 2.813
Authors: William Perry; Laura Lacritz; Tresa Roebuck-Spencer; Cheryl Silver; Robert L Denney; John Meyers; Charles E McConnel; Neil Pliskin; Deb Adler; Christopher Alban; Mark Bondi; Michelle Braun; Xavier Cagigas; Morgan Daven; Lisa Drozdick; Norman L Foster; Ula Hwang; Laurie Ivey; Grant Iverson; Joel Kramer; Melinda Lantz; Lisa Latts; Shari M Ling; Ana Maria Lopez; Michael Malone; Lori Martin-Plank; Katie Maslow; Don Melady; Melissa Messer; Randi Most; Margaret P Norris; David Shafer; Nina Silverberg; Colin M Thomas; Laura Thornhill; Jean Tsai; Nirav Vakharia; Martin Waters; Tamara Golden Journal: Innov Aging Date: 2018-10-12