DBDavid Barash

David Barash

*This is an algorithmically generated author record based on publicly available information.

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David Barash has a total of 21 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    A practical tool for managing change: cross-sectional psychometric assessment of the safe surgery organizational readiness tool

    by Tuna Cem Hayirli, John G. Meara, Egide Abahuje, Barnabas Alayande, Sylvio Augustin, David Barash, Adeline A. Boatin, Albino Kalolo, James Kengia, Paul Kingpriest, et al.

    Background: Strengthening health systems through planned safety and quality improvement initiatives is an imperative to achieve more equitable, resilient, and effective care. And yet, years of organizational behavior research demonstrate that change initiatives often fall short because managers fail to account for organizational readiness for change. This finding remains true especially among surgical safety and quality improvement initiatives in low-income countries and middle-income countries. In this study, our aim was to psychometrically assess the construct validity and internal consistency of the Safe Surgery Organizational Readiness Tool (SSORT), a short survey tool designed to provide change leaders with insight into facility infrastructure that supports learning and readiness to undertake change. Materials and methods: To demonstrate generalizability and achieve a large sample size (n=1706) to conduct exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), a collaboration between seven surgical and anesthesia safety and quality improvement initiatives was formed. Collected survey data from health care workers were divided into pilot, exploration, and confirmation samples. The pilot sample was used to assess feasibility. The exploration sample was used to conduct EFA, while the confirmation sample was used to conduct CFA. Factor internal consistency was assessed using Cronbach’s alpha coefficient. Results: Results of the EFA retained 9 of the 16 proposed factors associated with readiness to change. CFA results of the identified 9 factor model, measured by 28 survey items, demonstrated excellent fit to data. These factors (appropriateness, resistance to change, team efficacy, team learning orientation, team valence, communication about change, learning environment, vision for sustainability, and facility capacity) were also found to be internally consistent. Conclusion: Our findings suggest that communication, team learning, and supportive environment are components of change readiness that can be reliably measured prior to implementation of projects that promote surgical safety and quality improvement in low-income countries and middle-income countries. Future research can link performance on identified factors to outcomes that matter most to patients.


  • Open Access

    Research capacity, motivators and barriers to conducting research among healthcare providers in Tanzania’s public health system: a mixed methods study

    by James T. Kengia, Albino Kalolo, David Barash, Cindy Chwa, Tuna Cem Hayirli, Ntuli A. Kapologwe, Ally Kinyaga, John G. Meara, Steven J. Staffa, Noor Zanial, et al.

    Background: Building health research capacity in low- and middle-income countries is essential to achieving universal access to safe, high-quality healthcare. It can enable healthcare workers to conduct locally relevant research and apply findings to strengthen their health delivery systems. However, lack of funding, experience, know-how, and weak research infrastructures hinders their ability. Understanding research capacity, engagement, and contextual factors that either promote or obstruct research efforts by healthcare workers can inform national strategies aimed at building research capacity. Methods: We used a convergent mixed-methods study design to understand research capacity and research engagement of healthcare workers in Tanzania’s public health system, including the barriers, motivators, and facilitators to conducting research. Our sample included 462 randomly selected healthcare workers from 45 facilities. We conducted surveys and interviews to capture data in five categories: (1) healthcare workers research capacity; (2) research engagement; (3) barriers, motivators, and facilitators; (4) interest in conducting research; and (5) institutional research capacity. We assessed quantitative and qualitative data using frequency and thematic analysis, respectively; we merged the data to identify recurring and unifying concepts. Results: Respondents reported low experience and confidence in quantitative (34% and 28.7%, respectively) and qualitative research methods (34.5% and 19.6%, respectively). Less than half (44%) of healthcare workers engaged in research. Engagement in research was positively associated with: working at a District Hospital or above (p = 0.006), having a university degree or more (p = 0.007), and previous research experience (p = 0.001); it was negatively associated with female sex (p = 0.033). Barriers to conducting research included lack of research funding, time, skills, opportunities to practice, and research infrastructure. Motivators and facilitators included a desire to address health problems, professional development, and local and international collaborations. Almost all healthcare workers (92%) indicated interest in building their research capacity. Conclusion: Individual and institutional research capacity and engagement among healthcare workers in Tanzania is low, despite high interest for capacity building. We propose a fourfold pathway for building research capacity in Tanzania through (1) high-quality research training and mentorship; (2) strengthening research infrastructure, funding, and coordination; (3) implementing policies and strategies that stimulate engagement; and (4) strengthening local and international collaborations.