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  1. Article ; Online: CORR Insights®: How Much Perioperative Pain and Dysfunction Underlie the HOOS JR and KOOS JR?

    Madden, Kim

    Clinical orthopaedics and related research

    2023  Volume 481, Issue 9, Page(s) 1811–1812

    MeSH term(s) Humans ; Pain/surgery ; Arthroplasty, Replacement, Knee ; Patient Reported Outcome Measures ; Osteoarthritis, Knee/surgery ; Arthroplasty, Replacement, Hip
    Language English
    Publishing date 2023-04-21
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 80301-7
    ISSN 1528-1132 ; 0009-921X
    ISSN (online) 1528-1132
    ISSN 0009-921X
    DOI 10.1097/CORR.0000000000002666
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Uk I Zs.188: Show issues Location:
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  2. Article ; Online: CORR Insights®: Discordance Abounds in Minimum Clinically Important Differences in THA: A Systematic Review.

    Madden, Kim

    Clinical orthopaedics and related research

    2023  Volume 481, Issue 4, Page(s) 715–716

    MeSH term(s) Humans ; Arthroplasty, Replacement, Hip/adverse effects ; Hip Prosthesis ; Minimal Clinically Important Difference
    Language English
    Publishing date 2023-02-02
    Publishing country United States
    Document type Systematic Review ; Journal Article ; Comment
    ZDB-ID 80301-7
    ISSN 1528-1132 ; 0009-921X
    ISSN (online) 1528-1132
    ISSN 0009-921X
    DOI 10.1097/CORR.0000000000002582
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Uk I Zs.188: Show issues Location:
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  3. Article ; Online: Cochrane in CORR ® : Psychological Therapies for Women Who Experience Intimate Partner Violence.

    Irish, Kim / Madden, Kim

    Clinical orthopaedics and related research

    2023  Volume 481, Issue 11, Page(s) 2091–2097

    MeSH term(s) Female ; Humans ; Intimate Partner Violence/psychology ; Prevalence
    Language English
    Publishing date 2023-09-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80301-7
    ISSN 1528-1132 ; 0009-921X
    ISSN (online) 1528-1132
    ISSN 0009-921X
    DOI 10.1097/CORR.0000000000002838
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Uk I Zs.188: Show issues Location:
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  4. Article ; Online: Cochrane in CORR ®: Pharmacological Interventions for the Prevention of Bleeding in People Undergoing Definitive Fixation or Joint Replacement for Hip, Pelvic and Long Bone Fractures.

    Madden, Kim / Adili, Anthony

    Clinical orthopaedics and related research

    2024  Volume 482, Issue 3, Page(s) 423–430

    MeSH term(s) Humans ; Hip Fractures/surgery ; Pelvis/surgery ; Arthroplasty, Replacement ; Fractures, Multiple/surgery ; Fracture Fixation, Internal/adverse effects ; Fractures, Bone/surgery
    Language English
    Publishing date 2024-02-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80301-7
    ISSN 1528-1132 ; 0009-921X
    ISSN (online) 1528-1132
    ISSN 0009-921X
    DOI 10.1097/CORR.0000000000002987
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: The effects of self-disclosure and gender on a climate scientist's credibility and likability on social media.

    Kim, Nahyun / Skurka, Chris / Madden, Stephanie

    Public understanding of science (Bristol, England)

    2024  , Page(s) 9636625231225073

    Abstract: To examine whether different types of disclosure made by climate scientists on social media influence perceived source credibility (i.e. competence, integrity, benevolence) and likability, we conducted a 2 (self-disclosure type: personal vs political) × ... ...

    Abstract To examine whether different types of disclosure made by climate scientists on social media influence perceived source credibility (i.e. competence, integrity, benevolence) and likability, we conducted a 2 (self-disclosure type: personal vs political) × 3 (proportion of posts including a self-disclosure: 20% vs 50% vs 80%) × 2 (gender identity of scientist: male vs female) between-subjects experiment (
    Language English
    Publishing date 2024-02-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 1421272-9
    ISSN 1361-6609 ; 0963-6625
    ISSN (online) 1361-6609
    ISSN 0963-6625
    DOI 10.1177/09636625231225073
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Cochrane in CORR®: Non-pharmacological Interventions for Preventing Delirium in Hospitalized Non-ICU Patients.

    Khaled, Maram / Madden, Kim

    Clinical orthopaedics and related research

    2023  

    Language English
    Publishing date 2023-11-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80301-7
    ISSN 1528-1132 ; 0009-921X
    ISSN (online) 1528-1132
    ISSN 0009-921X
    DOI 10.1097/CORR.0000000000002942
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Uk I Zs.188: Show issues Location:
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  7. Article ; Online: Cochrane in CORR ®: Physical Interventions to Interrupt or Reduce the Spread of Respiratory Viruses.

    Madden, Kim / Adili, Anthony

    Clinical orthopaedics and related research

    2023  Volume 481, Issue 7, Page(s) 1273–1280

    MeSH term(s) Humans ; Viruses ; Respiratory Tract Infections/prevention & control ; Respiratory Tract Infections/virology
    Language English
    Publishing date 2023-05-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80301-7
    ISSN 1528-1132 ; 0009-921X
    ISSN (online) 1528-1132
    ISSN 0009-921X
    DOI 10.1097/CORR.0000000000002721
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Uk I Zs.188: Show issues Location:
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  8. Article ; Online: CORR Insights®: Patient Perceptions Correlate Weakly With Observed Patient Involvement in Decision-making in Orthopaedic Surgery.

    Madden, Kim

    Clinical orthopaedics and related research

    2018  Volume 476, Issue 9, Page(s) 1866–1868

    MeSH term(s) Decision Making ; Humans ; Orthopedic Procedures ; Orthopedics ; Patient Participation
    Language English
    Publishing date 2018-08-15
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 80301-7
    ISSN 1528-1132 ; 0009-921X
    ISSN (online) 1528-1132
    ISSN 0009-921X
    DOI 10.1097/CORR.0000000000000396
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Uk I Zs.188: Show issues Location:
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  9. Article: Prospective evaluation of intimate partner violence in fracture clinics (PRAISE-2): protocol for a multicentre pilot prospective cohort study.

    Madden, Kim

    Pilot and feasibility studies

    2018  Volume 4, Page(s) 115

    Abstract: Background: One third of women experience intimate partner violence (IPV) in their lifetime. Orthopaedic health care professionals are in a good position to identify women experiencing escalating physical violence and act to promote their immediate ... ...

    Abstract Background: One third of women experience intimate partner violence (IPV) in their lifetime. Orthopaedic health care professionals are in a good position to identify women experiencing escalating physical violence and act to promote their immediate safety, connect them to IPV resources, and reduce the risk of further harm. However, there have been no studies that explore whether experiencing a musculoskeletal injury can trigger or worsen IPV, and there have been no studies on how experiences of IPV affect orthopaedic outcomes. The primary objective of the PRAISE-2 pilot study is to assess the feasibility of conducting a large cohort study to determine the association between IPV and injury-related complications. The secondary clinical objectives are to preliminarily explore how a history of IPV affects orthopaedic outcomes and how patterns of IPV change over time following an orthopaedic injury.
    Methods: We will complete a pilot multicentre prospective cohort study of 250 women with musculoskeletal injuries to determine the feasibility of a multinational prospective cohort study that will determine if prior or ongoing IPV affects orthopaedic outcomes following an injury, and how patterns of IPV change over time. Our primary outcome is feasibility measured using recruitment rate (success criterion 50 patients/site in 12 months), adherence to visit windows (success criterion 75%), participant retention (success criterion 85%), and data completeness (success criterion 80%). Our secondary exploratory clinical outcomes are injury-related complications, return to function, new IPV disclosures, utilization and cost of support services, changes in abuse patterns, quality of life, and readiness to make relationship changes. We will assess feasibility based on pre-defined criteria for feasibility success and we will analyze secondary outcomes in an exploratory fashion.
    Discussion: The PRAISE-2 pilot study is the first step toward determining how experiences of IPV affect orthopaedic outcomes such as injury-related complications. This study will determine feasibility and assist in the development of large-scale multinational prospective IPV studies for our future IPV research program. This study will engage health care professionals from around the world to increase awareness of how IPV affects patients' musculoskeletal and injury outcomes.
    Trial registration: clinicaltrials.gov NCT02529267. Registered 20 Aug 2015.
    Language English
    Publishing date 2018-06-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 2809935-7
    ISSN 2055-5784
    ISSN 2055-5784
    DOI 10.1186/s40814-018-0301-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Can adverse childhood experiences predict chronic health conditions? Development of trauma-informed, explainable machine learning models.

    Afzal, Hanin B / Jahangir, Tasfia / Mei, Yiyang / Madden, Annabelle / Sarker, Abeed / Kim, Sangmi

    Frontiers in public health

    2024  Volume 11, Page(s) 1309490

    Abstract: Introduction: Decades of research have established the association between adverse childhood experiences (ACEs) and adult onset of chronic diseases, influenced by health behaviors and social determinants of health (SDoH). Machine Learning (ML) is a ... ...

    Abstract Introduction: Decades of research have established the association between adverse childhood experiences (ACEs) and adult onset of chronic diseases, influenced by health behaviors and social determinants of health (SDoH). Machine Learning (ML) is a powerful tool for computing these complex associations and accurately predicting chronic health conditions.
    Methods: Using the 2021 Behavioral Risk Factor Surveillance Survey, we developed several ML models-random forest, logistic regression, support vector machine, Naïve Bayes, and K-Nearest Neighbor-over data from a sample of 52,268 respondents. We predicted 13 chronic health conditions based on ACE history, health behaviors, SDoH, and demographics. We further assessed each variable's importance in outcome prediction for model interpretability. We evaluated model performance via the Area Under the Curve (AUC) score.
    Results: With the inclusion of data on ACEs, our models outperformed or demonstrated similar accuracies to existing models in the literature that used SDoH to predict health outcomes. The most accurate models predicted diabetes, pulmonary diseases, and heart attacks. The random forest model was the most effective for diabetes (AUC = 0.784) and heart attacks (AUC = 0.732), and the logistic regression model most accurately predicted pulmonary diseases (AUC = 0.753). The strongest predictors across models were age, ever monitored blood sugar or blood pressure, count of the monitoring behaviors for blood sugar or blood pressure, BMI, time of last cholesterol check, employment status, income, count of vaccines received, health insurance status, and total ACEs. A cumulative measure of ACEs was a stronger predictor than individual ACEs.
    Discussion: Our models can provide an interpretable, trauma-informed framework to identify and intervene with at-risk individuals early to prevent chronic health conditions and address their inequalities in the U.S.
    MeSH term(s) Adult ; Humans ; Adverse Childhood Experiences ; Bayes Theorem ; Blood Glucose ; Chronic Disease ; Diabetes Mellitus ; Myocardial Infarction ; Lung Diseases ; Machine Learning
    Chemical Substances Blood Glucose
    Language English
    Publishing date 2024-01-15
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2023.1309490
    Database MEDical Literature Analysis and Retrieval System OnLINE

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