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Background: Scales used to evaluate nurses' perspectives of mentoring programmes are mainly designed in developed countries, making them unsuitable for nurses and midwives working in resource‐poor developing countries. Aim: To explore the psychometric properties of the perceived cost of mentoring (PCM) scale, negative mentoring experiences (NME) scale and relational mentoring index (RMI) for adaptation in hospital settings in Uganda. Methods: A cross‐sectional study design was used. In total, 303 hospital nurses/midwives in Ugandan participated in the study to evaluate the psychometric properties of the three mentoring scales. Results: Revisions based on word choice were made in adapting the scales to the Ugandan context. The PCM showed three factors (risk to reputation, mentoring effort and nepotism) and had an intra‐class correlation (ICC) of 0.609 (95% CI, 0.324–0.793) and Cronbach's alpha of 0.705. The NME scale had two factors (lack of mentor expertise and mismatch between the dyad) consistent with the original scale with an ICC of 0.568 (95% CI, 0.271–0.767) and Cronbach's alpha of 0.841. The RMI showed two factors (individual influence and relational quality) with an ICC of 0.664 (95% CI, 0.410–0.824) and Cronbach's alpha of 0.933. Conclusions: The initial psychometric assessment indicates satisfactory validity and reliability of the scales for implementation among nurses and midwives within Ugandan hospital contexts. Subsequent research is warranted to validate the factor structures of the scales on a different sample. Implications for nursing and health policy: In using mentoring programmes to develop the hospital workforce, nurse and midwifery policymakers need to use culturally adapted and validated PCM, NME, and RMI scales to evaluate the quality of these mentoring programmes to maximise the benefits while avoiding unintended consequences. [ABSTRACT FROM AUTHOR]

Abstract Background To improve nutritional assessment and care pathways in the acute care setting, it is important to understand the indicators that may predict nutritional risk. Informed by a review of systematic reviews, this project engaged stakeholders to prioritise and reach consensus on a list of evidence based and clinically contextualised indicators for identifying malnutrition risk in the acute care setting. Methods A modified Delphi approach was employed which consisted of four rounds of consultation with 54 stakeholders and 10 experts to reach consensus and refine a list of 57 risk indicators identified from a review of systematic reviews. Weighted mean and variance scores for each indicator were evaluated. Consistency was tested with intra class correlation coefficient. Cronbach's alpha was used to determine the reliability of the indicators. The final list of indicators was subject to Cronbach’s alpha and exploratory principal component analysis. Results Fifteen indicators were considered to be the most important in identifying nutritional risk. These included difficulty self-feeding, polypharmacy, surgery and impaired gastro-intestinal function. There was 82% agreement for the final 15 indicators that they collectively would predict malnutrition risk in hospital inpatients. Conclusion The 15 indicators identified are supported by evidence and are clinically informed. This represents an opportunity for translation into a novel and automated systems level approach for identifying malnutrition risk in the acute care setting.