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question development tool of the johns hopkins nursing evidence-based practice model  (Johns Hopkins HealthCare)

 
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    Johns Hopkins HealthCare question development tool of the johns hopkins nursing evidence-based practice model
    Question Development Tool Of The Johns Hopkins Nursing Evidence Based Practice Model, supplied by Johns Hopkins HealthCare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/model+based+development+tools/johns+hopkins+research+evidence+appraisal+tool/pm40380250-92-31-29
    Average 90 stars, based on 1 article reviews
    question development tool of the johns hopkins nursing evidence-based practice model - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Evaluation of different fall risk screening tools for risk prediction of ophthalmology inpatients.
    Article Snippet: Abbreviations AUC Areas Under the Curve CI Confidence Interval FRAT The Falling Risk Assessment Tool in Ophthalmology Inpatients HFRM The Hendrich II fall-risk Model JHFRAT The Johns Hopkins fall-risk Assessment Tool MFS The Morse Fall Scale NPV Negative Predictive Value OR Odds ratio PPV Positive Predictive Value ROC Receiver operating characteristic STRATIFY The St Thomas Risk Assessment Tool Acknowledgements None.

    Article Title: Integrative Review of the Influence of Support Groups on Breastfeeding Duration Beyond 6 Months.
    Article Snippet: Study Selection: We included reports of qualitative and quantitative studies on breastfeeding support groups and reported breastfeeding durations beyond 6 months.. The articles were peer-reviewed, written in English, and published from 2013 to 2023.. We identified 1748 articles, removed 145 duplicates, screened 1603 titles and abstracts, and conducted a full-text review on the remaining 66.

    Article Title: Efficacy of a problem, intervention, control, and outcomes (PICO)-based perioperative blood management plan developed for patients undergoing long-segment lumbar spine posterior surgery.
    Article Snippet: Development of an evidence‐based perioperative blood management plan (1) Literature review: We retrieved publications from international and Chinese literature and analyzed these using the Question Development Tool of the Johns Hopkins Nursing Evidence-Based Practice Model. We formulated the nursing evidence-based questions as per the PICO format.

    Article Title: Association Between Preoperative Frailty Using Frailty Index‐Laboratory Test and Clinical Outcomes in Older Adults Undergoing Brain Tumor Surgery
    Article Snippet: Previous studies have used the Johns Hopkins Adjusted Clinical Group (JHACG) tool and the modified Frailty Index‐5 (mFI‐5) to quantify frailty in brain tumor patients (Huq et al. ).

    Article Title: Evaluation of different fall risk screening tools for risk prediction of ophthalmology inpatients.
    Article Snippet: Here, the criteria for being considered high risk was a score of 45 or greater. ii The Johns Hopkins Fall-Risk Assessment Tool.

    Article Title: Evaluation of different fall risk screening tools for risk prediction of ophthalmology inpatients.
    Article Snippet: The JHFRAT was developed by Johns Hopkins Hospital in 2005 and revised in 2007 [33, 34].

    Article Title: Creation and Implementation of a Multidisciplinary Pediatric Hematopoietic Stem Cell Transplant Discharge Coordination Program.
    Article Snippet: Appraisal of articles was performed via the Johns Hopkins Evidence-Based Practice Evidence Appraisal Tool [5].

    Article Title: Evaluation of different fall risk screening tools for risk prediction of ophthalmology inpatients.
    Article Snippet: The Morse Fall Scale (MFS) [26], the Johns Hopkins Fall-Risk Assessment Tool (JHFRAT) [27], the St Thomas Risk Assessment Tool (STRATIFY) and the Hendrich II Fall-Risk Model Keywords Fall, Ophthalmic patients, Risk assessment, Predictive validity (HFRM) [28, 29] are all commonly used and recognized fall risk assessment tools in hospital.



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