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Introduction Health literacy (HL) can be defined as the individual's ability to understand and process health information. A low level of HL can be viewed as a stronger predictor of a person's health status than age, education level, and race. Although HL is an important determinant of health, it is often underestimated. This systematic review investigates the evidence on HL assessment in hospital settings. Methods PubMed Medline, CINAHL, Scopus, Web of Science and Educational Resources Information Centre databases were searched, with the date last searched being 16 March 2020. The PRISMA guidelines were applied, and the protocol of the study was registered with PROSPERO (CRD42021236029). The quality of the included studies was appraised using the STrengthening the Reporting of OBservational Studies in Epidemiology (STROBE) guidelines for cross-sectional studies. Results Five studies reported HL assessments in hospital patients’ clinical records. Four main strategies were used to implement HL routine assessment in hospitals: multidisciplinary teams, stakeholders, training, and monitoring. Different performance measures were used to monitor the feasibility of incorporating HL assessment into electronic health records (EHRs). Conclusion This review examined how inpatients’ HL is recorded in hospital settings. HL is poorly measured in a hospital setting. These results guide hospital leadership in involving nurses in HL assessment implementation in hospitals and support nurses in creating a specific performance measure dashboard to monitor effective HL assessments in hospitals.

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Climate analyses at a local scale are an essential tool in the field of sustainable development. The evolution of reanalysis datasets and their greater reliability contribute to overcoming the scarcity of observed data in the southern areas of the world. The purpose of this study is to compute the reference monthly values and ranges of maximum and minimum temperatures for the eight main inhabited villages of North Horr Sub-County, in northern Kenya. The official ten-day dataset derived from the Kenyan Meteorological Department (KMD), the monthly datasets derived from the ERA-Interim reanalysis (ERA), the Observational-Reanalysis Hybrid (ORH) and the Climate Limited Area Mode driven by HadG-EM2-ES (HAD) are assessed on a local scale using the most common statistical indices to determine which is more reliable in representing monthly maximum and minimum temperatures. Overall, ORH datasets showed lower biases and errors in representing local temperatures. Through an innovative methodology, a new set of monthly mean temperature values and ranges derived from ORH datasets are calculated for each location in the study area, in order to guarantee to locals an historical benchmark to compare present observations. The findings of this research provide insights for environmental risk management, supporting local populations in reducing their vulnerability.