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  1. AU="Michaels, Zachary"
  2. AU="Sovel, Mindy"
  3. AU="Lukyanov, Sergey"
  4. AU="Baptistella, Amanda"
  5. AU="Dichter, Gabriel S"
  6. AU="D Urbano, Vanessa"
  7. AU="Farhad Shirini"
  8. AU="Wu, Wenming"
  9. AU="Wiedermann, Christian J"
  10. AU="Corradin, Giampietro"
  11. AU="Guan, Xiaodong"
  12. AU=Burmester Gerd R.
  13. AU="Mańczak, Rafał"
  14. AU="Cristina Ceron"
  15. AU=Scardapane Arnaldo
  16. AU="Taylor, Daniel J"
  17. AU="Sabanadzovic, Sead"
  18. AU=Lee Yangsoon AU=Lee Yangsoon
  19. AU="Sahoo, Aditi"
  20. AU="Reyes, Peter Andrew C"
  21. AU="Collobert, Géromine"
  22. AU="Guevara, Katterine"
  23. AU=Ahmadivand Arash

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  1. Dissertation / Habilitation ; Online: An Exploration of a Criteria Based Online Facilitation Tool

    Michaels, Zachary

    A Preliminary Examination of an Innovative Concept

    2020  

    Abstract: This thesis explores the utility of a tool designed by a private individual to help activist groups brainstorm and find consensus for decisions. A version of this tool was created for a human services nonprofit to use. Although the resulting data was not ...

    Abstract This thesis explores the utility of a tool designed by a private individual to help activist groups brainstorm and find consensus for decisions. A version of this tool was created for a human services nonprofit to use. Although the resulting data was not extensive, likely due to COVID-19 being a disruption, the public health implications and possibilities for future research are explored with comparisons to other tools and methodologies. Human service nonprofits may benefit in the future from tech tools using the consensus based brainstorming.
    Schlagwörter covid19
    Sprache Englisch
    Erscheinungsdatum 2020-07-30
    Erscheinungsland us
    Dokumenttyp Dissertation / Habilitation ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: Participation of Veterans Affairs Medical Centers in veteran-centric community-based service navigation networks: A mixed methods study.

    Hausmann, Leslie R M / Goodrich, David E / Rodriguez, Keri L / Beyer, Nicole / Michaels, Zachary / Cantor, Gilly / Armstrong, Nicholas / Eliacin, Johanne / Gurewich, Deborah A / Cohen, Alicia J / Mor, Maria K

    Health services research

    2024  Band 59, Heft 3, Seite(n) e14286

    Abstract: Objective: To understand the determinants and benefits of cross-sector partnerships between Veterans Affairs Medical Centers (VAMCs) and geographically affiliated AmericaServes Network coordination centers that address Veteran health-related social ... ...

    Abstract Objective: To understand the determinants and benefits of cross-sector partnerships between Veterans Affairs Medical Centers (VAMCs) and geographically affiliated AmericaServes Network coordination centers that address Veteran health-related social needs.
    Data sources and setting: Semi-structured interviews were conducted with AmericaServes and VAMC staff across seven regional networks. We matched administrative data to calculate the percentage of AmericaServes referrals that were successfully resolved (i.e., requested support was provided) in each network overall and stratified by whether clients were also VAMC patients.
    Study design: Convergent parallel mixed-methods study guided by Himmelman's Developmental Continuum of Change Strategies (DCCS) for interorganizational collaboration.
    Data collection: Fourteen AmericaServes staff and 17 VAMC staff across seven networks were recruited using snowball sampling and interviewed between October 2021 and April 2022. Rapid qualitative analysis methods were used to characterize the extent and determinants of VAMC participation in networks.
    Principal findings: On the DCCS continuum of participation, three networks were classified as networking, two as coordinating, one as cooperating, and one as collaborating. Barriers to moving from networking to collaborating included bureaucratic resistance to change, VAMC leadership buy-in, and not having VAMCs staff use the shared technology platform. Facilitators included ongoing communication, a shared mission of serving Veterans, and having designated points-of-contact between organizations. The percentage of referrals that were successfully resolved was lowest in networks engaged in networking (65.3%) and highest in cooperating (85.6%) and collaborating (83.1%) networks. For coordinating, cooperating, and collaborating networks, successfully resolved referrals were more likely among Veterans who were also VAMC patients than among Veterans served only by AmericaServes.
    Conclusions: VAMCs participate in AmericaServes Networks at varying levels. When partnerships are more advanced, successful resolution of referrals is more likely, especially among Veterans who are dually served by both organizations. Although challenges to establishing partnerships exist, this study highlights effective strategies to overcome them.
    Mesh-Begriff(e) Humans ; United States ; United States Department of Veterans Affairs/organization & administration ; Hospitals, Veterans/organization & administration ; Patient Navigation/organization & administration ; Interviews as Topic ; Community Health Services/organization & administration ; Veterans ; Qualitative Research ; Community Networks/organization & administration ; Interinstitutional Relations
    Sprache Englisch
    Erscheinungsdatum 2024-01-22
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 410435-3
    ISSN 1475-6773 ; 0017-9124
    ISSN (online) 1475-6773
    ISSN 0017-9124
    DOI 10.1111/1475-6773.14286
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel ; Online: Developing a brief assessment of social risks for the Veterans Health Administration Survey of Healthcare Experiences of Patients.

    Hausmann, Leslie R M / Cohen, Alicia J / Eliacin, Johanne / Gurewich, Deborah A / Lee, Richard E / McCoy, Jennifer L / Meterko, Mark / Michaels, Zachary / Moy, Ernest M / Procario, Gregory T / Russell, Lauren E / Schaefer, James H

    Health services research

    2023  Band 58, Heft 6, Seite(n) 1209–1223

    Abstract: Objective: To determine whether a 6- or 12-month look-back period affected rates of reported social risks in a social risk survey for use in the Veterans Health Administration and to assess associations of social risks with overall health and mental ... ...

    Abstract Objective: To determine whether a 6- or 12-month look-back period affected rates of reported social risks in a social risk survey for use in the Veterans Health Administration and to assess associations of social risks with overall health and mental health.
    Study design: Cross-sectional survey of respondents randomized to 6- or 12-month look-back period.
    Data sources and study setting: Online survey with a convenience sample of Veterans in June and July 2021.
    Data collection/extraction methods: Veteran volunteers were recruited by email to complete a survey assessing social risks, including financial strain, adult caregiving, childcare, food insecurity, housing, transportation, internet access, loneliness/isolation, stress, discrimination, and legal issues. Outcomes included self-reported overall health and mental health. Chi-squared tests compared the prevalence of reported social risks between 6- and 12-month look-back periods. Spearman correlations assessed associations among social risks. Bivariate and multivariable logistic regression models estimated associations between social risks and fair/poor overall and mental health.
    Principal findings: Of 3418 Veterans contacted, 1063 (31.10%) responded (87.11% male; 85.61% non-Hispanic White; median age = 70, interquartile range [IQR] = 61-74). Prevalence of most reported social risks did not significantly differ by look-back period. Most social risks were weakly intercorrelated (median |r| = 0.24, IQR = 0.16-0.31). Except for legal issues, all social risks were associated with higher odds of fair/poor overall health and mental health in bivariate models. In models containing all significant social risks from bivariate models, adult caregiving and stress remained significant predictors of overall health; food insecurity, housing, loneliness/isolation, and stress remained significant for mental health.
    Conclusions: Six- and 12-month look-back periods yielded similar rates of reported social risks. Although most individual social risks are associated with fair/poor overall and mental health, when examined together, only adult caregiving, stress, loneliness/isolation, food, and housing remain significant.
    Mesh-Begriff(e) Adult ; Humans ; Male ; Aged ; Female ; Cross-Sectional Studies ; Veterans Health ; Surveys and Questionnaires ; Mental Health ; Delivery of Health Care ; Veterans/psychology
    Sprache Englisch
    Erscheinungsdatum 2023-09-06
    Erscheinungsland United States
    Dokumenttyp Randomized Controlled Trial ; Journal Article ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 410435-3
    ISSN 1475-6773 ; 0017-9124
    ISSN (online) 1475-6773
    ISSN 0017-9124
    DOI 10.1111/1475-6773.14220
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Buch ; Online: Examples relating to Green's conjecture in low characteristics and genera

    Estu, Topik Teguh / Im, Mee Seong / Manning, Benjamin / Michaels, Zachary / Pasko, Joseph / Rulla, William / Wijesinghe, Nishan

    2019  

    Abstract: We exhibit approximately fifty Betti diagrams of free resolutions of rings of smooth, connected canonical curves of genera $9$-$14$ in prime characteristics between $2$ and $11$. Generic Green's conjecture is verified for genera $9$ and $10$ for ... ...

    Abstract We exhibit approximately fifty Betti diagrams of free resolutions of rings of smooth, connected canonical curves of genera $9$-$14$ in prime characteristics between $2$ and $11$. Generic Green's conjecture is verified for genera $9$ and $10$ for characteristics $2$, $5$, $7$, and $11$.

    Comment: 15 pages
    Schlagwörter Mathematics - Algebraic Geometry ; Computer Science - Computational Geometry
    Erscheinungsdatum 2019-12-12
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  5. Artikel: Clinic Versus Online Social Network-Delivered Lifestyle Interventions: Protocol for the Get Social Noninferiority Randomized Controlled Trial.

    Wang, Monica L / Waring, Molly E / Jake-Schoffman, Danielle E / Oleski, Jessica L / Michaels, Zachary / Goetz, Jared M / Lemon, Stephenie C / Ma, Yunsheng / Pagoto, Sherry L

    JMIR research protocols

    2017  Band 6, Heft 12, Seite(n) e243

    Abstract: Background: Online social networks may be a promising modality to deliver lifestyle interventions by reducing cost and burden. Although online social networks have been integrated as one component of multimodality lifestyle interventions, no randomized ... ...

    Abstract Background: Online social networks may be a promising modality to deliver lifestyle interventions by reducing cost and burden. Although online social networks have been integrated as one component of multimodality lifestyle interventions, no randomized trials to date have compared a lifestyle intervention delivered entirely via online social network with a traditional clinic-delivered intervention.
    Objective: This paper describes the design and methods of a noninferiority randomized controlled trial, testing (1) whether a lifestyle intervention delivered entirely through an online social network would produce weight loss that would not be appreciably worse than that induced by a traditional clinic-based lifestyle intervention among overweight and obese adults and (2) whether the former would do so at a lower cost.
    Methods: Adults with body mass index (BMI) between 27 and 45 kg/m
    Results: The final wave of data collection is expected to conclude in June 2019. Data analysis will take place in the months following and is expected to be complete in September 2019.
    Conclusions: Findings will extend the literature by revealing whether delivering a lifestyle intervention via an online social network is an effective alternative to the traditional modality of clinic visits, given the former might be more scalable and feasible to implement in settings that cannot support clinic-based models.
    Trial registration: ClinicalTrials.gov NCT02646618; https://clinicaltrials.gov/ct2/show/NCT02646618 (Archived by WebCite at http://www.webcitation.org/6v20waTFW).
    Sprache Englisch
    Erscheinungsdatum 2017-12-11
    Erscheinungsland Canada
    Dokumenttyp Journal Article
    ZDB-ID 2719222-2
    ISSN 1929-0748
    ISSN 1929-0748
    DOI 10.2196/resprot.8068
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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