Dataset Information

Adoption of clinical and business trainings by child mental health clinics in New York State.

ABSTRACT: OBJECTIVE:This study prospectively examined the naturalistic adoption of clinical and business evidence-informed training by all 346 outpatient mental health clinics licensed to treat children, adolescents, and their families in New York State. METHODS:The study used attendance data (September 2011-August 2013) from the Clinic Technical Assistance Center, a training, consultation, and educational center funded by the state Office of Mental Health, to classify the clinics' adoption of 33 trainings. Adoption behavior was classified by number, type, and intensity of trainings. The clinics were classified into four adopter groups reflecting the highest training intensity in which they participated (low, medium, and high adopters and "super-adopters"). RESULTS:A total of 268 clinics adopted trainings (median=5); business and clinical trainings were about equally accessed (82% versus 78%). Participation was highest for hour-long Webinars (96%) followed by learning collaboratives, which take six to 18 months to complete (34%). Most (73%-94%) adopters of business learning collaboratives and all adopters of clinical learning collaboratives had previously sampled a Webinar, although maintaining participation in learning collaboratives was a challenge. The adopter groups captured meaningful adopter profiles: 41% of clinics were low adopters that selected fewer trainings and participated only in Webinars, and 34% were high or super-adopters that accessed more trainings and participated in at least one learning collaborative. CONCLUSIONS:More nuanced definitions of adoption behavior can improve the understanding of clinic adoption of training and hence promote the development of efficient rollout strategies by state systems.

SUBMITTER: Chor KH

PROVIDER: S-EPMC4312734 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature

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Adoption of clinical and business trainings by child mental health clinics in New York State.

Chor Ka Ho Brian KH Olin Su-Chin Serene SC Weaver Jamie J Cleek Andrew F AF McKay Mary M MM Hoagwood Kimberly E KE Horwitz Sarah M SM

Psychiatric services (Washington, D.C.) 20141031 12

<h4>Objective</h4>This study prospectively examined the naturalistic adoption of clinical and business evidence-informed training by all 346 outpatient mental health clinics licensed to treat children, adolescents, and their families in New York State.<h4>Methods</h4>The study used attendance data (September 2011-August 2013) from the Clinic Technical Assistance Center, a training, consultation, and educational center funded by the state Office of Mental Health, to classify the clinics' adoption ...[more]

PMID: 25082362

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Project description:OBJECTIVE: To analyze the effects of health reform efforts in two large states--New York and Massachusetts. DATA SOURCES/STUDY SETTING: National Health Interview Survey (NHIS) data from 1999 to 2008. STUDY DESIGN: We take advantage of the "natural experiments" that occurred in New York and Massachusetts to compare health insurance coverage and health care access and use for adults before and after the implementation of the health policy changes. To control for underlying trends not related to the reform initiatives, we subtract changes in the outcomes over the same time period for comparison groups of adults who were not affected by the policy changes using a differences-in-differences framework. The analyses are conducted using multiple comparison groups and different time periods as a check on the robustness of the findings. DATA COLLECTION/EXTRACTION METHODS: Nonelderly adults ages 19-64 in the NHIS. PRINCIPAL FINDINGS: We find evidence of the success of the initiatives in New York and Massachusetts at expanding insurance coverage, with the greatest gains reported by the initiative that was broadest in scope--the Massachusetts push toward universal coverage. There is no evidence of improvements in access to care in New York, reflecting the small gains in coverage under that state's reform effort and the narrow focus of the initiative. In contrast, there were significant gains in access to care in Massachusetts, where the impact on insurance coverage was greater and a more comprehensive set of reforms were implemented to improve access to a full array of health care services. The estimated gains in coverage and access to care reported here for Massachusetts were achieved in the early period under health reform, before the state's reform initiative was fully implemented. CONCLUSIONS: Comprehensive reform initiatives are more successful at addressing gaps in coverage and access to care than are narrower efforts, highlighting the potential gains under national health reform. Tracking the implications of national health reform will be challenging, as sample sizes and content in existing national surveys are not currently sufficient for in-depth evaluations of the impacts of reform within many states.

Project description:BackgroundArtificial intelligence (AI) is transforming the mental health care environment. AI tools are increasingly accessed by clients and service users. Mental health professionals must be prepared not only to use AI but also to have conversations about it when delivering care. Despite the potential for AI to enable more efficient and reliable and higher-quality care delivery, there is a persistent gap among mental health professionals in the adoption of AI.ObjectiveA needs assessment was conducted among mental health professionals to (1) understand the learning needs of the workforce and their attitudes toward AI and (2) inform the development of AI education curricula and knowledge translation products.MethodsA qualitative descriptive approach was taken to explore the needs of mental health professionals regarding their adoption of AI through semistructured interviews. To reach maximum variation sampling, mental health professionals (eg, psychiatrists, mental health nurses, educators, scientists, and social workers) in various settings across Ontario (eg, urban and rural, public and private sector, and clinical and research) were recruited.ResultsA total of 20 individuals were recruited. Participants included practitioners (9/20, 45% social workers and 1/20, 5% mental health nurses), educator scientists (5/20, 25% with dual roles as professors/lecturers and researchers), and practitioner scientists (3/20, 15% with dual roles as researchers and psychiatrists and 2/20, 10% with dual roles as researchers and mental health nurses). Four major themes emerged: (1) fostering practice change and building self-efficacy to integrate AI into patient care; (2) promoting system-level change to accelerate the adoption of AI in mental health; (3) addressing the importance of organizational readiness as a catalyst for AI adoption; and (4) ensuring that mental health professionals have the education, knowledge, and skills to harness AI in optimizing patient care.ConclusionsAI technologies are starting to emerge in mental health care. Although many digital tools, web-based services, and mobile apps are designed using AI algorithms, mental health professionals have generally been slower in the adoption of AI. As indicated by this study's findings, the implications are 3-fold. At the individual level, digital professionals must see the value in digitally compassionate tools that retain a humanistic approach to care. For mental health professionals, resistance toward AI adoption must be acknowledged through educational initiatives to raise awareness about the relevance, practicality, and benefits of AI. At the organizational level, digital professionals and leaders must collaborate on governance and funding structures to promote employee buy-in. At the societal level, digital and mental health professionals should collaborate in the creation of formal AI training programs specific to mental health to address knowledge gaps. This study promotes the design of relevant and sustainable education programs to support the adoption of AI within the mental health care sphere.

Dataset Information

Adoption of clinical and business trainings by child mental health clinics in New York State.

Publications

Adoption of clinical and business trainings by child mental health clinics in New York State.

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