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Background: Promoting safe patient mobility for providers and patients is a safety priority in the hospital setting. Safe patient handling equipment aids safe mobility but can also deter active movement by the patient if used inappropriately. Nurses need guidance to choose equipment that ensures their safety and that of the patients while promoting active mobility and preventing workplace-related injury. Methods: Using a modified Delphi approach with a diverse group of experts, we created the Johns Hopkins Safe Patient Handling Mobility (JH-SPHM) Guide. This diverse group of 10 experts consisted of nurses, nurse leaders, physical and occupational therapists, safe patient handling committee representatives, and a fall prevention committee leader. The application of the tool was then tested in the hospital environment by two physical therapists. Findings: Consensus was reached for safe patient handling (SPH) equipment recommendations at each level of the Johns Hopkins Mobility Goal Calculator (JH-Mobility Goal Calculator). Expert SPH equipment recommendations were then added to JH-Mobility Goal Calculator levels to create the JH-Safe Patient Handling Mobility Guide. JH-Safe Patient Handling Mobility Guide equipment suggestions were compared with equipment recommendations from physical therapists revealing strong agreement (n = 125, 88%). Conclusion: The newly created JH-Safe Patient Handling Mobility Guide provides appropriate safe patient-handling equipment recommendations to help accomplish patients' daily mobility goals. Applications to Practice: The Johns Hopkins Safe Patient Handling Mobility Guide simultaneously facilitates patient mobility and optimizes safety for nursing staff through recommendations for safe patient handling equipment for use with hospitalized patients. [ABSTRACT FROM AUTHOR]

Aims Design Results Conclusion Implication for the Profession and/or Patient Care Reporting Method Patient or Public Contribution Our study aimed to (1) validate the accuracy of nursing mobility documentation and (2) identify the most effective timings for behavioural mapping.We monitored the mobility of 55 inpatients using behavioural mapping throughout a nursing day shift, comparing the observed mobility levels with the nursing charting in the electronic health record during the same period.Our results showed a high level of agreement between nursing records and observed mobility, with improved accuracy observed particularly when documentation was at 12 PM or later. Behavioural mapping observations revealed that the most effective timeframe to observe the highest levels of patient mobility was between 10 AM AND 2 PM.To truly understand patient mobility, comparing nursing charting with methods like behavioural mapping is beneficial. This comparison helps evaluate how well nursing records reflect actual patient mobility and offers insights into the best times for charting to capture peak mobility. While behavioural mapping is a valuable tool for auditing patient mobility, its high resource demands limit its regular use. Thus, determining the most effective times and durations for observations is key for practical implementation in hospital mobility audits.Nurses are pivotal in ensuring patient mobility in hospitals, an essential element of quality care. Their role involves safely mobilizing patients and accurately charting their mobility levels during each shift. For nursing practice, this research underscores that nurse charting can accurately reflect patient mobility, and highlights that recording the patient's highest level of mobility later in the shift offers a more precise representation of their actual mobility.Strobe.No Patient or Public Contribution. [ABSTRACT FROM AUTHOR]

Background Purpose Method Findings Discussion Nurses routinely perform multiple risk assessments related to patient mobility in the hospital. Use of a single mobility assessment for multiple risk assessment tools could improve clinical documentation efficiency, accuracy and lay the groundwork for automated risk evaluation tools.We tested how accurately Activity Measure for Post‐Acute Care (AM‐PAC) mobility scores predicted the mobility components of various fall and pressure injury risk assessment tools.AM‐PAC scores along with mobility and physical activity components on risk assessments (Braden Scale, Get Up and Go used within the Hendrich II Fall Risk Model®, Johns Hopkins Fall Risk Assessment Tool (JHFRAT) and Morse Fall Scale) were collected on a cohort of hospitalised patients. We predicted scores of risk assessments based on AM‐PAC scores by fitting of ordinal logistic regressions between AM‐PAC scores and risk assessments. STROBE checklist was used to report the present study.AM‐PAC scores predicted the observed mobility components of Braden, Get Up and Go and JHFRAT with high accuracy (≥85%), but with lower accuracy for the Morse Fall Scale (40%).These findings suggest that a single mobility assessment has the potential to be a good solution for the mobility components of several fall and pressure injury risk assessments. [ABSTRACT FROM AUTHOR]