The Experts below are selected from a list of 34737 Experts worldwide ranked by ideXlab platform

Peter A Margolis - One of the best experts on this subject based on the ideXlab platform.

  • Digital Social Network analysis as a strategy for understanding variation in the participation of patients in healthcare quality improvement
    BMJ Quality & Safety, 2016
    Co-Authors: Shannon Provost, Peter A Gloor, Michael Seid, Peter A Margolis
    Abstract:

    Background Healthcare improvement work benefits from diverse stakeholder participation. Great strides are being made towards formal collaborative relationships with patients and their caregivers. But how will we know if these overtures evolve into true partnerships? Reliable methods for tracking participation are needed to understand and enumerate how contributions of patients and families may impact costs, care, and outcomes. Objectives We share an innovative approach to evaluating participation in healthcare improvement initiatives. Social Network analysis (SNA) offers insight around the extent to which patient involvement on improvement teams is authentic and comparable to that of conventional contributors (e.g., clinicians and professional researchers). Methods Using Digital archives of email correspondence from 24 participants in a design project for pediatric chronic illness care, we generated email-Network graphs over 19 months (January 2013–July 2014) to visually identify collaborators, measure communication behaviors, and quantify their prominence within the group Network. We used scatterplots and Shewhart charts to compare Network-based measures for patients and parents over time and relative to other participants. Results Longitudinal email-based SNA provided evidence of a qualitative trend of increased patient and parent participation throughout the project. X-bar charts showed common cause variation in centrality measures for patients/parents alongside clinicians and researchers, evidence of similar positioning within the group Network as well as comparable levels of communication. Conclusions SNA is a reliable and relatively unobtrusive method to detect and monitor participation in collaborative work groups. Next, we explore how this approach could inform design and management of improvement efforts that meaningfully involve more patients and their caregivers.

Shannon Provost - One of the best experts on this subject based on the ideXlab platform.

  • Digital Social Network analysis as a strategy for understanding variation in the participation of patients in healthcare quality improvement
    BMJ Quality & Safety, 2016
    Co-Authors: Shannon Provost, Peter A Gloor, Michael Seid, Peter A Margolis
    Abstract:

    Background Healthcare improvement work benefits from diverse stakeholder participation. Great strides are being made towards formal collaborative relationships with patients and their caregivers. But how will we know if these overtures evolve into true partnerships? Reliable methods for tracking participation are needed to understand and enumerate how contributions of patients and families may impact costs, care, and outcomes. Objectives We share an innovative approach to evaluating participation in healthcare improvement initiatives. Social Network analysis (SNA) offers insight around the extent to which patient involvement on improvement teams is authentic and comparable to that of conventional contributors (e.g., clinicians and professional researchers). Methods Using Digital archives of email correspondence from 24 participants in a design project for pediatric chronic illness care, we generated email-Network graphs over 19 months (January 2013–July 2014) to visually identify collaborators, measure communication behaviors, and quantify their prominence within the group Network. We used scatterplots and Shewhart charts to compare Network-based measures for patients and parents over time and relative to other participants. Results Longitudinal email-based SNA provided evidence of a qualitative trend of increased patient and parent participation throughout the project. X-bar charts showed common cause variation in centrality measures for patients/parents alongside clinicians and researchers, evidence of similar positioning within the group Network as well as comparable levels of communication. Conclusions SNA is a reliable and relatively unobtrusive method to detect and monitor participation in collaborative work groups. Next, we explore how this approach could inform design and management of improvement efforts that meaningfully involve more patients and their caregivers.

Peter A Gloor - One of the best experts on this subject based on the ideXlab platform.

  • Digital Social Network analysis as a strategy for understanding variation in the participation of patients in healthcare quality improvement
    BMJ Quality & Safety, 2016
    Co-Authors: Shannon Provost, Peter A Gloor, Michael Seid, Peter A Margolis
    Abstract:

    Background Healthcare improvement work benefits from diverse stakeholder participation. Great strides are being made towards formal collaborative relationships with patients and their caregivers. But how will we know if these overtures evolve into true partnerships? Reliable methods for tracking participation are needed to understand and enumerate how contributions of patients and families may impact costs, care, and outcomes. Objectives We share an innovative approach to evaluating participation in healthcare improvement initiatives. Social Network analysis (SNA) offers insight around the extent to which patient involvement on improvement teams is authentic and comparable to that of conventional contributors (e.g., clinicians and professional researchers). Methods Using Digital archives of email correspondence from 24 participants in a design project for pediatric chronic illness care, we generated email-Network graphs over 19 months (January 2013–July 2014) to visually identify collaborators, measure communication behaviors, and quantify their prominence within the group Network. We used scatterplots and Shewhart charts to compare Network-based measures for patients and parents over time and relative to other participants. Results Longitudinal email-based SNA provided evidence of a qualitative trend of increased patient and parent participation throughout the project. X-bar charts showed common cause variation in centrality measures for patients/parents alongside clinicians and researchers, evidence of similar positioning within the group Network as well as comparable levels of communication. Conclusions SNA is a reliable and relatively unobtrusive method to detect and monitor participation in collaborative work groups. Next, we explore how this approach could inform design and management of improvement efforts that meaningfully involve more patients and their caregivers.

Michael Seid - One of the best experts on this subject based on the ideXlab platform.

  • Digital Social Network analysis as a strategy for understanding variation in the participation of patients in healthcare quality improvement
    BMJ Quality & Safety, 2016
    Co-Authors: Shannon Provost, Peter A Gloor, Michael Seid, Peter A Margolis
    Abstract:

    Background Healthcare improvement work benefits from diverse stakeholder participation. Great strides are being made towards formal collaborative relationships with patients and their caregivers. But how will we know if these overtures evolve into true partnerships? Reliable methods for tracking participation are needed to understand and enumerate how contributions of patients and families may impact costs, care, and outcomes. Objectives We share an innovative approach to evaluating participation in healthcare improvement initiatives. Social Network analysis (SNA) offers insight around the extent to which patient involvement on improvement teams is authentic and comparable to that of conventional contributors (e.g., clinicians and professional researchers). Methods Using Digital archives of email correspondence from 24 participants in a design project for pediatric chronic illness care, we generated email-Network graphs over 19 months (January 2013–July 2014) to visually identify collaborators, measure communication behaviors, and quantify their prominence within the group Network. We used scatterplots and Shewhart charts to compare Network-based measures for patients and parents over time and relative to other participants. Results Longitudinal email-based SNA provided evidence of a qualitative trend of increased patient and parent participation throughout the project. X-bar charts showed common cause variation in centrality measures for patients/parents alongside clinicians and researchers, evidence of similar positioning within the group Network as well as comparable levels of communication. Conclusions SNA is a reliable and relatively unobtrusive method to detect and monitor participation in collaborative work groups. Next, we explore how this approach could inform design and management of improvement efforts that meaningfully involve more patients and their caregivers.

John Kelly - One of the best experts on this subject based on the ideXlab platform.

  • Digital recovery management: Characterizing recovery-specific Social Network site participation and perceived benefit.
    Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors, 2017
    Co-Authors: Brandon G. Bergman, Nathaniel W. Kelly, Bettina B. Hoeppner, Corrie L. Vilsaint, John Kelly
    Abstract:

    Research shows that Digital Social Network sites (SNSs) may be valuable platforms to effect health behavior change. Little is known specifically about their ability to help address alcohol and other drug problems. This gap is noteworthy, given that individuals are already participating in existing, recovery-specific SNSs (hereafter referred to as recovery SNSs): online communities with the functionality of conventional SNSs (e.g., Facebook) that focus on substance use disorder (SUD) recovery. For example, InTheRooms.com (ITR) is a large, well-known recovery SNS that is available for free 24 hr/day via website and mobile smartphone applications. It offers recovery tools within a Digital Social milieu for over 430,000 registered users. To augment the knowledge base on recovery SNS platforms, we conducted an online survey of 123 ITR participants (M = 50.8 years old; 56.9% female; 93.5% White; M = 7.3 years of abstinence, range of 0-30 years; 65% cited alcohol as their primary substance). Respondents engaged with ITR, on average, for about 30 min/day several times each week. Daily meditation prompts and live online video meetings were the most commonly utilized resources. Participants generally endorsed ITR as a helpful platform, particularly with respect to increased abstinence/recovery motivation and self-efficacy. Compared to individuals abstinent for 1 or more years, those abstinent less than 1 year (including nonabstinent individuals) showed similar rates of engagement with ITR activities and similar levels of perceived benefit. Our findings suggest that longitudinal studies are warranted to examine the clinical utility of ITR and other recovery SNSs as SUD treatment adjuncts and/or recovery self-management tools. (PsycINFO Database Record