Comparative Initial and Sustained Engagement in Web-Based Training by Behavioral Healthcare Providers in New York State

The Covid-19 pandemic exposed and amplified many problems in political and healthcare systems around the world, and the United States has been no exception. One such issue is racial injustice, including its impact as a social determinant of health and its manifestation in disparities in healthcare access - including behavioral healthcare. This paper examines this problem in detail and highlights the work of the Center for Practice Innovations. This intermediary organization provides training and implementation support to behavioral healthcare organizations across New York State. This work includes changes and awareness building related to racial injustice within its organization that will drive changes in training and supports provided to behavioral healthcare organizations across New York State.

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Shake-and-Bakeon the grid

Journal of Applied Crystallography ◽

10.1107/s0021889807034565 ◽

2007 ◽

Vol 40 (5) ◽

pp. 938-944 ◽

Cited By ~ 7

Author(s):

Russ Miller ◽

Naimesh Shah ◽

Mark L. Green ◽

William Furey ◽

Charles M. Weeks

Keyword(s):

New York ◽

Data Storage ◽

New York State ◽

Open Science ◽

Data Sets ◽

Distributed Resources ◽

Web Based ◽

York State ◽

Computational Data ◽

Computational Resources

Computational and data grids represent an emerging technology that allows geographically and organizationally distributed resources (e.g.computing and storage resources) to be linked and accessed in a fashion that is transparent to the user, presenting an extension of the desktop for users whose computational, data and visualization needs extend beyond their local systems. The New York State Grid is an integrated computational and data grid that provides web-based access for users from around the world to computational, application and data storage resources. This grid is used in a ubiquitous fashion, where the users have virtual access to their data sets and applications, but do not need to be made aware of the details of the data storage or computational devices that are specifically employed. Two of the applications that users worldwide have access to on a variety of grids, including the New York State Grid, are theSnBandBnPprograms, which implement theShake-and-Bakemethod of molecular structure (SnB) and substructure (BnP) determination, respectively. In particular, through our grid portal (i.e.logging on to a web site),SnBhas been run simultaneously on all computational resources on the New York State Grid as well as on more than 1100 of the over 3000 processors available through the Open Science Grid.

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ESTABLISHING A WEB BASED EVALUATION PROGRAM FOR BENCHMARKING OUTCOMES OF CARDIAC AND PULMONARY REHABILITATION PROGRAMS IN NEW YORK STATE

Journal of Cardiopulmonary Rehabilitation ◽

10.1097/00008483-200509000-00055 ◽

2005 ◽

Vol 25 (5) ◽

pp. 303

Author(s):

Manoj Mithal ◽

Michael J. Manfre

Keyword(s):

New York ◽

Pulmonary Rehabilitation ◽

New York State ◽

Web Based ◽

York State ◽

Evaluation Program ◽

Rehabilitation Programs

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Disseminating clinical and fiscal practices across the New York State behavioral healthcare system

Social Work in Health Care ◽

10.1080/00981389.2019.1593281 ◽

2019 ◽

Vol 58 (6) ◽

pp. 557-563

Author(s):

Mary Acri ◽

Ashley Ann Fuss ◽

Patricia Quintero ◽

Kimberly Hoagwood ◽

Mary M. McKay ◽

...

Keyword(s):

New York ◽

Healthcare System ◽

New York State ◽

York State ◽

Behavioral Healthcare

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STEADI in Primary Care: A Process Evaluation of the New York State Implementation

Innovation in Aging ◽

10.1093/geroni/igaa057.2800 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 774-775

Author(s):

Yvonne Johnston ◽

Chelsea Reome-Nedlik

Keyword(s):

Primary Care ◽

New York ◽

Process Evaluation ◽

Administrative Support ◽

Resistance To Change ◽

New York State ◽

Healthcare Providers ◽

Structured Interviews ◽

York State ◽

Clinic Staff

Abstract This session presents findings from a STEADI process evaluation that was conducted within a primary care setting in New York State. This process evaluation used mixed methods including quantitative analysis of surveys with clinic staff as well as qualitative methods such as intercept interviews with healthcare providers and clinic staff, and structured interviews with key stakeholders. The RE-AIM framework guided development of the process evaluation tools. The process evaluation was conducted over a 2-month period approximately 18 months post-implementation. Facilitators included: (a) Adoption - physician champion and administrative support; (b) Implementation - wellness coordinators, preparation and training, and organizational quality measures; (c) Maintenance - feedback from patients, local and national recognition, and impact on fall-related outcomes. Barriers included: (a) Adoption – organizational priorities and complexity of electronic health records; (b) Implementation – resistance to change and competing patient care demands; (c) Maintenance - staff turnover and follow through of referrals.

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Genomic Epidemiology of Historical Clostridium perfringens Outbreaks in New York State Using Two Web-based Platforms: National Center for Biotechnology Information-Pathogen Detection and FDA-GalaxyTrakr

Journal of Clinical Microbiology ◽

10.1128/jcm.02200-20 ◽

2020 ◽

Author(s):

Jaclyn Carey ◽

Jocelyn Cole ◽

Sai Laxmi Gubbala Venkata ◽

Hannah Hoyt ◽

Lisa Mingle ◽

...

Keyword(s):

New York ◽

Clostridium Perfringens ◽

Pathogen Detection ◽

New York State ◽

The United States ◽

Food Samples ◽

Whole Genome Sequence ◽

Web Based ◽

Phylogenetic Clustering ◽

York State

Clostridium perfringens is the second-leading cause of bacterial foodborne illness in the United States. The Wadsworth Center (WC) at the New York State Department of Health enumerates infectious dose from primary patient and food samples and until recently, identified C. perfringens to the species level only. We investigated whether whole-genome sequence-based subtyping could benefit epidemiological investigations of this pathogen, as it has with other enteric organisms. We retrospectively sequenced 76 patient and food samples received between May 2010-February 2020, including 52 samples linked epidemiologically to 13 outbreaks and 24 sporadic samples not linked to other samples. Phylogenetic trees were built using two web-based platforms; National Centers for Biotechnology Information Pathogen Detection (NCBI-PD) and GalaxyTrakr (a Galaxy instance supported by the GenomeTrakr initiative). For GalaxyTrakr analyses single nucleotide polymorphism (SNP) matrices and maximum likelihood (ML) trees were generated using 3 different reference genomes. Across the four separate analyses phylogenetic clustering was generally concordant with epidemiologically-identified outbreaks. SNP diversity among phylogenetically-linked samples in an outbreak ranged from 0-20 SNPs, excepting one outbreak ranging from 4-62 SNPs. Importantly, four of the 13 outbreaks harbored one or more samples that were phylogenetic outliers, and for two outbreaks, no samples were closely related. Three specimens were found harboring two distinct genotypes. For samples below CDC enumeration dose threshold, phylogenetic clustering was robust and linked patient and/or food samples. We concluded that WGS phylogenetic clusters are: 1) largely concordant with epidemiologically-defined outbreaks, irrespective of analysis platform or reference genome we employed; 2) have limited pairwise SNP diversity, allowing phylogenetic clusters to be distinguished from sporadic cases; 3) can aid in epidemiological investigations by identifying outlier and polyclonal samples.

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Assessing Training Interests of Latin American and Caribbean Immigrant-serving HIV/AIDS, STD, and Hepatitis C Providers in New York State, United States

International Journal of MCH and AIDS (IJMA) ◽

10.21106/ijma.373 ◽

2020 ◽

Vol 9 (2) ◽

pp. 186-190

Author(s):

Jahron P Marriott ◽

José G Pérez-Ramos ◽

Song Hoa Choi ◽

Gersandre Gonsalves-Domond ◽

Beatrice Aladin ◽

...

Keyword(s):

United States ◽

New York ◽

Hepatitis C ◽

Latin American ◽

Online Survey ◽

New York State ◽

Healthcare Providers ◽

Care Needs ◽

York State ◽

Hiv Aids

Healthcare providers may be ill-equipped to address the specific care needs of refugee/immigrant (RI) patient populations. We assessed continuing education (CE) training interests among HIV/AIDS, STD, and Hepatitis C (HASH) providers in New York State (NYS), United States, who serve RI patients from Latin America and the Caribbean (LAC). An online survey was completed by 156 HASH providers during a three-month period in Spring 2018. HASH providers serving LAC patients indicate interest in additional training to address the unique needs of the RI community. We noted a strong interest for more tailored learning opportunities in issues that impact refugee health. Copyright © 2020 Marriott et al. Published by Global Health and Education Projects, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution License CC BY 4.0.

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