Background A One Health approach has been increasingly mainstreamed by the international community, as it provides for holistic thinking in recognizing the close links and inter-dependence of the health of humans, animals and the environment. However, the dearth of real-world evidence has hampered application of a One Health approach in shaping policies and practice. This study proposes the development of a potential evaluation tool for One Health performance, in order to contribute to the scientific measurement of One Health approach and the identification of gaps where One Health capacity building is most urgently needed. Methods We describe five steps towards a global One Health index (GOHI), including (i) framework formulation; (ii) indicator selection; (iii) database building; (iv) weight determination; and (v) GOHI scores calculation. A cell-like framework for GOHI is proposed, which comprises an external drivers index (EDI), an intrinsic drivers index (IDI) and a core drivers index (CDI). We construct the indicator scheme for GOHI based on this framework after multiple rounds of panel discussions with our expert advisory committee. A fuzzy analytical hierarchy process is adopted to determine the weights for each of the indicators. Results The weighted indicator scheme of GOHI comprises three first-level indicators, 13 second-level indicators, and 57 third-level indicators. According to the pilot analysis based on the data from more than 200 countries/territories the GOHI scores overall are far from ideal (the highest score of 65.0 out of a maximum score of 100), and we found considerable variations among different countries/territories (31.8–65.0). The results from the pilot analysis are consistent with the results from a literature review, which suggests that a GOHI as a potential tool for the assessment of One Health performance might be feasible. Conclusions GOHI—subject to rigorous validation—would represent the world’s first evaluation tool that constructs the conceptual framework from a holistic perspective of One Health. Future application of GOHI might promote a common understanding of a strong One Health approach and provide reference for promoting effective measures to strengthen One Health capacity building. With further adaptations under various scenarios, GOHI, along with its technical protocols and databases, will be updated regularly to address current technical limitations, and capture new knowledge. Graphical Abstract

Objectives: To investigate the period prevalence and risk factors for clinically important prescription and monitoring errors among adults managed in community care in Saudi Arabia (SA). Methods: This retrospective cohort study used electronic health record (HER) data. A random sample comprising of 2,000 adults (≥18 years old) visiting Family Medicine clinics in King Faisal Specialist Hospital and Research Center (KFSH & RC), Riyadh, SA, was selected. Data collection took 3 months (October December 2017). Descriptive analyses and logistic regression modeling were performed using STATA (version 14) statistical software. Results: The overall period prevalence of medication errors over 15 months was 8.1% (95% confidence interval [CI] 6.5-9.7). Risk factors that significantly predicted overall risk of patients experiencing one or more medication errors were: age ≥65 years, male gender, Saudi nationality, and polypharmacy (defined as the concurrent use of ≥5 drugs). Conclusions: Clinically important medication errors were commonly observed in relation to both drug prescription and monitoring.

Most of the new emerging and re-emerging zoonotic virus outbreaks in recent years stem from close interaction with dead or alive infected animals. Since late 2019, the coronavirus disease 2019 (COVID-19) has spread into 221 countries and territories resulting in close to 300 million known infections and 5.4 million deaths in addition to a huge impact on both public health and the world economy. This paper reviews the COVID-19 prevalence in animals, raise concerns about animal welfare and discusses the role of environment in the transmission of COVID-19. Attention is drawn to the One Health concept as it emphasizes the environment in connection with the risk of transmission and establishment of diseases shared between animals and humans. Considering the importance of One Health for an effective response to the dissemination of infections of pandemic character, some unsettled issues with respect to COVID-19 are highlighted.

Background Ethiopia has low skilled birth attendance rates coupled with low quality of care within health facilities contributing to one of the highest maternal mortality rates in Sub-Saharan Africa, at 412 deaths per 100,000 live births. There is lack of evidence on the readiness of health facilities to deliver quality labor and delivery (L&D) care. This paper describes the structural quality of routine L&D care in government hospitals of Ethiopia. Methods A facility-based cross-sectional study design, involving census of all government hospitals in Southern Nations Nationalities and People’s Region (SNNPR) (N = 20) was conducted in November 2016 through facility audit using a structured checklist. Data collectors verified the availability and functioning of the required items through observation and interview with the heads of labor and delivery case team. An overall mean score of structural quality was calculated considering domain scores such as general infrastructure, human resource and essential drugs, supplies, equipment and laboratory services. Summary statistics such as proportion, mean and standard deviation were computed to describe the degree of adherence of the hospitals to the standards related to structural quality of routine labor and delivery care. Results One third of hospitals had low readiness to provide quality routine L&D care, with only two approaching near fulfilment of all the standards. Hospitals had fulfilled 68.2% of the standards for the structural aspects of quality of L&D care. Of the facility audit criteria, the availability of essential equipment and supplies for infection prevention scored the highest (88.8%), followed by safety, comfort and woman friendliness of the environment (76.4%). Availability skilled health professionals and quality management practices scored 72.5% each, while availability of the required items of general infrastructure was 64.6%. The two critical domains with the lowest score were availability of essential drugs, supplies and equipment (52.2%); and laboratory services and safe blood supply (50%). Conclusion Substantial capacity gaps were observed in the hospitals challenging the provision of quality routine L&D care services, with only two thirds of required resources available. The largest gaps were in laboratory services and safe blood, and essential drugs, supplies and equipment. The results suggest the need to ensure that all public hospitals in SNNPR meet the required structure to enable the provision of quality routine L&D care with emphases on the identified gaps.

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