Representation of women on editorial boards of ophthalmology journals: protocol for a cross-sectional study.

INTRODUCTION: There is a notable under-representation of women in leadership positions in ophthalmology despite the increasing number of women as ophthalmologists. Gender inequality in editorial boards of ophthalmology journals has not been investigated on a global scale. This study will aim to evaluate the representation of women as editorial board members in ophthalmology journals across different regions, journal subspecialties and impact factors. METHODS AND ANALYSIS: This will be a cross-sectional study describing the gender composition of editorial boards in ophthalmology journals globally. Ulrich's Periodicals Directory and SCImago Journal & Country Rank will be used to comprehensively identify journals indexed with the keyword, 'ophthalmology'. All journals with active websites and lists of editorial boards will be included. Journals will be categorised according to the World Bank's 2021 classification of countries by income and region, and classified into ophthalmology subspecialties based on publication scope. Impact factors will be obtained from Journal Citation Reports. The gender and academic degrees of each editorial board member will be determined based on journal profiles, institutional websites or name query feature on an online interface. The research impact of each editorial board member will be ascertained from the author records on Web of Science. The gender proportion will be presented for all journals combined, and then for journals grouped by regions, subspecialties and impact factors. Editorial board member characteristics including academic degrees and research productivity measures will be compared between men and women. These comparisons will be made using the χ2 test for categorical variables and the independent samples t-test for continuous variables. ETHICS AND DISSEMINATION: This study did not require research ethics approval given the use of publicly available data and lack of human subjects. The results will be presented at scientific meetings and published in peer-reviewed journals.

Evidence-Based and Value-Based Decision Making About Healthcare Design: An Economic Evaluation of the Safety and Quality Outcomes.

OBJECTIVE: This study describes a vision and framework that can facilitate the implementation of evidence-based design (EBD), scientific knowledge base into the process of the design, construction, and operation of healthcare facilities and clarify the related safety and quality outcomes for the stakeholders. The proposed framework pairs EBD with value-driven decision making and aims to improve communication among stakeholders by providing a common analytical language. BACKGROUND: Recent EBD research indicates that the design and operation of healthcare facilities contribute to an organization's operational success by improving safety, quality, and efficiency. However, because little information is available about the financial returns of evidence-based investments, such investments are readily eliminated during the capital-investment decision-making process. METHOD: To model the proposed framework, we used engineering economy tools to evaluate the return on investments in six successful cases, identified by a literature review, in which facility design and operation interventions resulted in reductions in hospital-acquired infections, patient falls, staff injuries, and patient anxiety. RESULTS: In the evidence-based cases, calculated net present values, internal rates of return, and payback periods indicated that the long-term benefits of interventions substantially outweighed the intervention costs. This article explained a framework to develop a research-based and value-based communication language on specific interventions along the planning, design and construction, operation, and evaluation stages. CONCLUSIONS: Evidence-based and value-based design frameworks can be applied to communicate the life-cycle costs and savings of EBD interventions to stakeholders, thereby contributing to more informed decision makings and the optimization of healthcare infrastructures.