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  1. Book ; Online: SimCoach Evaluation

    Meeker, Daniella / Cerully, Jennifer L / Johnson, Megan D / Iyer, Neema / Kurz, Jeremy R

    A Virtual Human Intervention to Encourage Service-Member Help-Seeking for Posttraumatic Stress Disorder and Depression

    2015  

    Keywords Personnel & human resources management ; Information technology: general issues ; Medicolegal issues ; Abnormal psychology ; Technology ; Management & Organizational Behavior ; Psychology ; Health Sciences
    Language English
    Size 1 Online-Ressource
    Publisher RAND Corporation
    Document type Book ; Online
    Note English
    HBZ-ID HT030612360
    ISBN 9780833088130 ; 0833088130
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: Promoting Patient Safety Through Effective Health Information Technology Risk Management

    Schneider, Eric C / Ridgely, M. Susan / Meeker, Daniella / Hunter, Lauren E / Khodyakov, Dmitry

    2014  

    Keywords History of the Americas ; Health systems & services ; Medicolegal issues ; Clinical & internal medicine ; Health Sciences ; History
    Language English
    Size 1 Online-Ressource
    Publisher RAND Corporation
    Document type Book ; Online
    Note English
    HBZ-ID HT030612147
    ISBN 9780833089786 ; 0833089781
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article ; Online: Case report: evaluation of an open-source synthetic data platform for simulation studies.

    Meeker, Daniella / Kallem, Crystal / Heras, Yan / Garcia, Stephanie / Thompson, Casey

    JAMIA open

    2022  Volume 5, Issue 3, Page(s) ooac067

    Abstract: Simulation is a mainstay of comparative- and cost-effectiveness research when empirical data are not available. The Synthea platform, originally designed for generating realistically coded longitudinal health records for software testing, implements data ...

    Abstract Simulation is a mainstay of comparative- and cost-effectiveness research when empirical data are not available. The Synthea platform, originally designed for generating realistically coded longitudinal health records for software testing, implements data generation models specified in publicly contributed modules representing patients' life cycle and disease and treatment progression. We test the hypothesis that Synthea can be used for simulation studies that draw parameters from observational studies and randomized trials. We benchmarked the results and assessed the effort required to create a Synthea module that replicates a recently published cost-effectiveness simulation comparing levofloxacin prophylaxis to usual care for leukemia. A module was iteratively developed using published parameters from the original study; we replicated the initial conditions and simulation endpoints of demographics, health events, costs, and mortality. We compare Synthea's Generic Module Framework to platforms designed for simulation and show that Synthea can be used, with modifications, for some types of simulation studies.
    Language English
    Publishing date 2022-08-08
    Publishing country United States
    Document type Case Reports
    ISSN 2574-2531
    ISSN (online) 2574-2531
    DOI 10.1093/jamiaopen/ooac067
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Use of Telehealth Information for Early Detection: Insights From the COVID-19 Pandemic.

    Haenchen, Steven / McCabe, Bridget / Mack, Wendy J / Doctor, Jason N / Linder, Jeffrey A / Persell, Stephen D / Tibbels, Jason / Meeker, Daniella

    American journal of public health

    2024  Volume 114, Issue 2, Page(s) 218–225

    Abstract: Objectives. ...

    Abstract Objectives.
    MeSH term(s) Humans ; COVID-19/epidemiology ; Pandemics ; Telemedicine/methods ; District of Columbia ; Forecasting
    Language English
    Publishing date 2024-02-09
    Publishing country United States
    Document type Observational Study ; Journal Article
    ZDB-ID 121100-6
    ISSN 1541-0048 ; 0090-0036 ; 0002-9572
    ISSN (online) 1541-0048
    ISSN 0090-0036 ; 0002-9572
    DOI 10.2105/AJPH.2023.307499
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Un I Zs.279: Show issues Location:
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  5. Article ; Online: Integrating REDCap patient-reported outcomes with the HealtheIntent population health platform: proof of concept.

    Espinoza, Juan / Tut, Maurice / Shah, Payal / Kingsbury, Paul / Nagaraj, Gayathri / Meeker, Daniella / Bahroos, Neil

    JAMIA open

    2023  Volume 6, Issue 3, Page(s) ooad074

    Abstract: Objective: Patient-reported outcome measures (PROMs) are critical to drive patient-centered care and to understanding patients' perspectives on their health status, quality of life, and the overall effectiveness of the care they receive. PROMs are ... ...

    Abstract Objective: Patient-reported outcome measures (PROMs) are critical to drive patient-centered care and to understanding patients' perspectives on their health status, quality of life, and the overall effectiveness of the care they receive. PROMs are increasingly being used in clinical and research settings, but the mechanisms to aggregate data from different systems can be cumbersome.
    Materials and methods: As part of an FDA Real-World Evidence demonstration project, we enriched routine care clinical data from our Cerner electronic health record (EHR) with PROMs collected using REDCap. We used SSIS, sFTP, and the REDCap Application Programming Interface to aggregate both data sources into the Cerner HealtheIntent Population Health Platform.
    Results: We successfully built dashboards, reports, and datasets containing both REDCap and EHR data collected prospectively.
    Discussion: This technically straightforward approach using commonly available clinical and research tools can be readily adopted and adapted by others to better integrate PROMs with clinical data sources.
    Language English
    Publishing date 2023-08-29
    Publishing country United States
    Document type Journal Article
    ISSN 2574-2531
    ISSN (online) 2574-2531
    DOI 10.1093/jamiaopen/ooad074
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book: SimCoach evaluation

    Meeker, Daniella

    a virtual human intervention to encourage service-member help-seeking for posttraumatic stress disorder and depression

    ([Research report] ; RR-505-OSD)

    2015  

    Institution National Defense Research Institute (U.S.),
    Author's details Daniella Meeker, Jennifer L. Cerully, Megan D. Johnson, Neema Iyer, Jeremy R. Kurz, Deborah M. Scharf
    Series title [Research report] ; RR-505-OSD
    MeSH term(s) Military Personnel/psychology ; Mental Health Services ; Stress Disorders, Post-Traumatic/therapy ; Depressive Disorder/therapy ; Computer Simulation
    Keywords United States
    Language English
    Dates of publication 2015-2015
    Size xvi, 128 pages :, illustrations (some color) ;, 28 cm.
    Document type Book
    Note At head of title: Rand National Defense Research Institute. ; "Prepared for the Office of the Secretary of Defense."
    ISBN 9780833088130 ; 0833088130
    Database Catalogue of the US National Library of Medicine (NLM)

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  7. Article ; Online: Clinician Job Satisfaction After Peer Comparison Feedback: A Secondary Analysis of a Randomized Clinical Trial.

    Doctor, Jason N / Goldstein, Noah J / Fox, Craig R / Linder, Jeffrey A / Persell, Stephen D / Stewart, Emily P / Knight, Tara K / Meeker, Daniella

    JAMA network open

    2023  Volume 6, Issue 6, Page(s) e2317379

    Abstract: Importance: Interventions that improve clinician performance through feedback should not contribute to job dissatisfaction or staff turnover. Measurement of job satisfaction may help identify interventions that lead to this undesirable consequence.: ... ...

    Abstract Importance: Interventions that improve clinician performance through feedback should not contribute to job dissatisfaction or staff turnover. Measurement of job satisfaction may help identify interventions that lead to this undesirable consequence.
    Objective: To evaluate whether mean job satisfaction was less than the margin of clinical significance among clinicians who received social norm feedback (peer comparison) compared with clinicians who did not.
    Design, setting, and participants: This secondary, preregistered, noninferiority analysis of a cluster randomized trial compared 3 interventions to reduce inappropriate antibiotic prescribing in a 2 × 2 × 2 factorial design from November 1, 2011, to April 1, 2014. A total of 248 clinicians were enrolled from 47 clinics. The sample size for this analysis was determined by the number of nonmissing job satisfaction scores from the original enrolled sample, which was 201 clinicians from 43 clinics. Data analysis was performed from October 12 to April 13, 2022.
    Interventions: Feedback comparing individual clinician performance to top-performing peers, delivered in monthly emails (peer comparison).
    Main outcomes and measures: The primary outcome was a response to the following statement: "Overall, I am satisfied with my current job." Responses ranged from 1 (strongly disagree) to 5 (strongly agree).
    Results: A total of 201 clinicians (response rate, 81%) from 43 of the 47 clinics (91%) provided a survey response about job satisfaction. Clinicians were primarily female (n = 129 [64%]) and board certified in internal medicine (n = 126 [63%]), with a mean (SD) age of 48 (10) years. The clinic-clustered difference in mean job satisfaction was greater than -0.32 (β = 0.11; 95% CI, -0.19 to 0.42; P = .46). Therefore, the preregistered null hypothesis that peer comparison is inferior by resulting in at least a 1-point decrease in job satisfaction by 1 in 3 clinicians was rejected. The secondary null hypothesis that job satisfaction was similar among clinicians randomized to social norm feedback was not able to be rejected. The effect size did not change when controlling for other trial interventions (t = 0.08; P = .94), and no interaction effects were observed.
    Conclusions and relevance: In this secondary analysis of a randomized clinical trial, peer comparison did not lead to lower job satisfaction. Features that may have protected against dissatisfaction include clinicians' agency over the performance measure, privacy of individual performance, and allowing all clinicians to achieve top performance.
    Trial registration: ClinicalTrials.gov Identifiers: NCT05575115 and NCT01454947.
    MeSH term(s) Humans ; Female ; Middle Aged ; Job Satisfaction ; Surveys and Questionnaires ; Emotions ; Feedback ; Anti-Bacterial Agents/therapeutic use
    Chemical Substances Anti-Bacterial Agents
    Language English
    Publishing date 2023-06-01
    Publishing country United States
    Document type Randomized Controlled Trial ; Journal Article
    ISSN 2574-3805
    ISSN (online) 2574-3805
    DOI 10.1001/jamanetworkopen.2023.17379
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Development of a social and environmental determinants of health informatics maturity model.

    Espinoza, Juan C / Sehgal, Shruti / Phuong, Jimmy / Bahroos, Neil / Starren, Justin / Wilcox, Adam / Meeker, Daniella

    Journal of clinical and translational science

    2023  Volume 7, Issue 1, Page(s) e266

    Abstract: Introduction: Integrating social and environmental determinants of health (SEDoH) into enterprise-wide clinical workflows and decision-making is one of the most important and challenging aspects of improving health equity. We engaged domain experts to ... ...

    Abstract Introduction: Integrating social and environmental determinants of health (SEDoH) into enterprise-wide clinical workflows and decision-making is one of the most important and challenging aspects of improving health equity. We engaged domain experts to develop a SEDoH informatics maturity model (SIMM) to help guide organizations to address technical, operational, and policy gaps.
    Methods: We established a core expert group consisting of developers, informaticists, and subject matter experts to identify different SIMM domains and define maturity levels. The candidate model (v0.9) was evaluated by 15 informaticists at a Center for Data to Health community meeting. After incorporating feedback, a second evaluation round for v1.0 collected feedback and self-assessments from 35 respondents from the National COVID Cohort Collaborative, the Center for Leading Innovation and Collaboration's Informatics Enterprise Committee, and a publicly available online self-assessment tool.
    Results: We developed a SIMM comprising seven maturity levels across five domains: data collection policies, data collection methods and technologies, technology platforms for analysis and visualization, analytics capacity, and operational and strategic impact. The evaluation demonstrated relatively high maturity in analytics and technological capacity, but more moderate maturity in operational and strategic impact among academic medical centers. Changes made to the tool in between rounds improved its ability to discriminate between intermediate maturity levels.
    Conclusion: The SIMM can help organizations identify current gaps and next steps in improving SEDoH informatics. Improving the collection and use of SEDoH data is one important component of addressing health inequities.
    Language English
    Publishing date 2023-12-07
    Publishing country England
    Document type Journal Article
    ISSN 2059-8661
    ISSN (online) 2059-8661
    DOI 10.1017/cts.2023.691
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: SEnDAE: A resource for expanding research into social and environmental determinants of health.

    Kingsbury, Paul / Abajian, Hakob / Abajian, Mark / Angyan, Praveen / Espinoza, Juan / MacDonald, Beau / Meeker, Daniella / Wilson, John P / Bahroos, Neil

    Computer methods and programs in biomedicine

    2023  Volume 238, Page(s) 107542

    Abstract: Background and objective: Social and Environmental Determinants of Health (SEDoH) are of increasing interest to researchers in personal and public health. Collecting SEDoH and associating them with patient medical record can be challenging, especially ... ...

    Abstract Background and objective: Social and Environmental Determinants of Health (SEDoH) are of increasing interest to researchers in personal and public health. Collecting SEDoH and associating them with patient medical record can be challenging, especially for environmental variables. We announce here the release of SEnDAE, the Social and Environmental Determinants Address Enhancement toolkit, and open-source resource for ingesting a range of environmental variables and measurements from a variety of sources and associated them with arbitrary addresses.
    Methods: SEnDAE includes optional components for geocoding addresses, in case an organization does not have independent capabilities in that area, and recipes for extending the OMOP CDM and the ontology of an i2b2 instance to display and compute over the SEnDAE variables within i2b2.
    Results: On a set of 5000 synthetic addresses, SEnDAE was able to geocode 83%. SEnDAE geocodes addresses to the same Census tract as ESRI 98.1% of the time.
    Conclusion: Development of SEnDAE is ongoing, but we hope that teams will find it useful to increase their usage of environmental variables and increase the field's general understanding of these important determinants of health.
    MeSH term(s) Humans ; Public Health ; Medical Records
    Language English
    Publishing date 2023-04-08
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 632564-6
    ISSN 1872-7565 ; 0169-2607
    ISSN (online) 1872-7565
    ISSN 0169-2607
    DOI 10.1016/j.cmpb.2023.107542
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 521: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  10. Article ; Online: Antibiotic prescribing for acute respiratory infections during the coronavirus disease 2019 (COVID-19) pandemic: Patterns in a nationwide telehealth service provider.

    Linder, Jeffrey A / Persell, Stephen D / Kelley, Marcella A / Friedberg, Mark / Goldstein, Noah J / Knight, Tara K / Kaiser, Katrina M / Doctor, Jason N / Mack, Wendy J / Tibbels, Jason / McCabe, Bridget / Haenchen, Steve / Meeker, Daniella

    Infection control and hospital epidemiology

    2024  , Page(s) 1–4

    Abstract: We examined 3,046,538 acute respiratory infection (ARI) encounters with 6,103 national telehealth physicians from January 2019 to October 2021. The antibiotic prescribing rates were 44% for all ARIs; 46% were antibiotic appropriate; 65% were potentially ... ...

    Abstract We examined 3,046,538 acute respiratory infection (ARI) encounters with 6,103 national telehealth physicians from January 2019 to October 2021. The antibiotic prescribing rates were 44% for all ARIs; 46% were antibiotic appropriate; 65% were potentially appropriate; 19% resulted from inappropriate diagnoses; and 10% were related to coronavirus disease 2019 (COVID-19) diagnosis.
    Language English
    Publishing date 2024-02-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 639378-0
    ISSN 1559-6834 ; 0195-9417 ; 0899-823X
    ISSN (online) 1559-6834
    ISSN 0195-9417 ; 0899-823X
    DOI 10.1017/ice.2023.292
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1714: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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