Evidence-informed Decision Research Articles

Using observational epidemiology to evaluate COVID-19 vaccines: integrating traditional methods with new data sources and tools.

Although clinical trials are necessary for vaccine approval, observational epidemiology will be required to evaluate the long-term effectiveness, safety, and population impacts of newly approved COVID-19 vaccines under real-world field conditions. In this commentary, I argue that a hybrid approach that combines new data sources and tools, including COVID-19 vaccine registries, with traditional epidemiological methods will be needed to evaluate COVID-19 vaccines using observational epidemiology. Wherever possible, primary data collection, active surveillance, and linkage with existing population-based cohorts should be leveraged to supplement secondary data sources and passive surveillance systems. Evidence-informed public health decision making around provincial COVID-19 immunization programs will need to account for potential biases, incomplete or conflicting information, and heterogeneity across subpopulations.

Managing borders during public health emergencies of international concern: a proposed typology of cross-border health measures

BackgroundThe near universal adoption of cross-border health measures during the COVID-19 pandemic worldwide has prompted significant debate about their effectiveness and compliance with international law. The number of measures used, and the range of measures applied, have far exceeded previous public health emergencies of international concern. However, efforts to advance research, policy and practice to support their effective use has been hindered by a lack of clear and consistent definition.ResultsBased on a review of existing datasets for cross-border health measures, such as the Oxford Coronavirus Government Response Tracker and World Health Organization Public Health and Social Measures, along with analysis of secondary and grey literature, we propose six categories to define measures more clearly and consistently – policy goal, type of movement (travel and trade), adopted by public or private sector, level of jurisdiction applied, stage of journey, and degree of restrictiveness. These categories are then brought together into a proposed typology that can support research with generalizable findings and comparative analyses across jurisdictions. Addressing the current gaps in evidence about travel measures, including how different jurisdictions apply such measures with varying effects, in turn, enhances the potential for evidence-informed decision-making based on fuller understanding of policy trade-offs and externalities. Finally, through the adoption of standardized terminology and creation of an agreed evidentiary base recognized across jurisdictions, the typology can support efforts to strengthen coordinated global responses to outbreaks and inform future efforts to revise the WHO International Health Regulations (2005).ConclusionsThe widespread use of cross-border health measures during the COVID-19 pandemic has prompted significant reflection on available evidence, previous practice and existing legal frameworks. The typology put forth in this paper aims to provide a starting point for strengthening research, policy and practice.

Academic-Policy Partnerships in Evidence-Based Practice Implementation and Policy Maker Use of Child Mental Health Research.

Strategies are needed to improve policy makers' evidence-informed decision making and the availability of evidence-based, state-supported services. This study examined whether academic-policy partnerships could promote these outcomes. Data from two national surveys of state mental health agency representatives were used to compare barriers to implementation of evidence-based practices (EBPs) and policy makers' use of child mental health research in states with strong academic-policy partnerships in workforce training or in program implementation/evaluation (IE) with barriers in states with no or limited partnerships in these areas. Strong IE partnerships were associated with more confidence in research use and fewer issues with provider readiness and capacity but with more issues with EBP fidelity. Strong training partnerships were associated with fewer endorsements of lack of time as a barrier to research use. Academic-policy partnerships had some benefit for states' research use and EBP implementation. Because these partnerships may reduce barriers, further research should explore characteristics of effective collaborations.

The National Collaborating Centre for Methods and Tools (NCCMT): Supporting evidence-informed decision-making in public health in Canada.

The National Collaborating Centre for Methods and Tools (NCCMT) is part of a network of six National Collaborating Centres for Public Health (NCC) created in 2005 by the federal government following the severe acute respiratory syndrome (SARS) epidemic to strengthen public health infrastructure in Canada. The work of the NCCMT, to support evidence-informed decision-making (EIDM) in public health in Canada, is accomplished by curating trustworthy evidence, building competence to use evidence and accelerating change in EIDM. Ongoing engagement with its target audiences ensures NCCMT's relevance and ability to respond to evolving public health needs. This has been particularly critical during the coronavirus disease 2019 (COVID-19) pandemic, which saw NCCMT pivot its activities to support the public health response by conducting rapid reviews on priority questions identified by decision-makers from federal to local levels as well as create and maintain a national repository of in-progress or completed syntheses. These efforts, along with partnering with the COVID-19 Evidence Network to support Decision-Making (COVID-END), sought to reduce duplication, increase coordination of synthesis efforts and support decision-makers to use the best available evidence in decision-making. Data from website statistics illustrate the successful uptake of these initiatives across Canada and internationally.

Rapid Evidence and Gap Map of virtual care solutions across a stepped care continuum for youth with chronic pain and their families in response to the COVID-19 pandemic.

Poor access to pediatric chronic pain care is a longstanding concern. The COVID-19 pandemic has necessitated virtual care delivery at an unprecedented pace and scale. We conducted a scoping review to create an interactive Evidence and Gap Map of virtual care solutions across a stepped care continuum (ie, from self-directed to specialist care) for youth with chronic pain and their families. Review methodology was codesigned with 8 youth with chronic pain and 7 parents/caregivers. Data sources included peer-reviewed scientific literature, gray literature (app stores and web sites), and a call for innovations. Records were independently coded and assessed for quality. Overall, 185 records were included (105 scientific records, 56 apps, 16 web sites, and 8 innovations). Most virtual care solutions were applicable across pediatric chronic pain diagnoses, with the greatest proportion at lower levels of stepped care (ie, >100 self-guided apps and web sites). Virtual delivery of psychological strategies was common. Evidence gaps were noted at higher levels of stepped care (ie, requiring more resource and health professional involvement), integration with health records, communication with health professionals, web accessibility, and content addressing social/family support, medications, school, substance use, sleep, diet, and acute pain flares or crises. Evidence and Gap Maps are a novel visual knowledge synthesis tool, which enable rapid evidence-informed decision-making by patients and families, health professionals, and policymakers. This evidence and gap map identified high-quality virtual care solutions for immediate scale and spread and areas with no evidence in need of prioritization. Virtual care should address priorities identified by youth with chronic pain and their families.

Integrated knowledge translation to advance noncommunicable disease policy and practice in South Africa: application of the Exploration, Preparation, Implementation, and Sustainment (EPIS) framework

BackgroundIn response to the “know–do” gap, several initiatives have been implemented to enhance evidence-informed decision-making (EIDM). These include individual training, organizational culture change management, and legislative changes. The importance of relationships and stakeholder engagement in EIDM has led to an evolution of models and approaches including integrated knowledge translation (IKT). IKT has emerged as a key strategy for ensuring that engagement is equitable, demand-driven, and responsive. As a result, the African-German Collaboration for Evidence-Based Healthcare and Public Health in Africa (CEBHA+) incorporated an IKT approach to influence noncommunicable diseases (NCD) policy and practice. We documented the phased process of developing, implementing, and monitoring the IKT approach in South Africa; and explored the appropriateness of using the exploration, preparation, implementation, and sustainment (EPIS) framework for this purpose.MethodsWe mapped the South Africa IKT approach onto the EPIS framework using a framework analysis approach. Notes of team meetings, stakeholder matrices, and engagement strategies were analysed and purposefully plotted against the four phases of the framework in order to populate the different constructs. We discussed and finalized the analysis in a series of online iterations until consensus was reached.ResultsThe mapping exercise revealed an IKT approach that was much more iterative, dynamic, and engaging than initially thought. Several constructs (phase-agnostic) remained important and stable across EPIS phases: stable and supportive funding; committed and competent leadership; skilled and dedicated IKT champions; diverse and established personal networks; a conducive and enabling policy environment; and boundary-spanning intermediaries. Constructs such as “innovations” constantly evolved and adapted to the changing inner and outer contexts (phase-specific).ConclusionsUsing the EPIS framework to interrogate, reflect on, and document our IKT experiences proved extremely relevant and useful. Phase-agnostic constructs proved critical to ensure resilience and agility of NCD deliberations and policies in the face of highly dynamic and changing local contexts, particularly in view of the current coronavirus disease 2019 (COVID-19) pandemic. Bridging IKT with a framework from implementation science helps to reflect on this process and can guide the development and planning of similar interventions and strategies.

Cochrane Rehabilitation: 2020 annual report.

During its fourth year of existence, Cochrane Rehabilitation went on to promote evidence-informed health decision-making in rehabilitation. In 2020, the outbreak of the COVID-19 pandemic has made it necessary to alter priorities. In these challenging times, Cochrane Rehabilitation has firstly changed its internal organisation and established a new relevant project in line with pandemic needs: the REH-COVER (Rehabilitation - COVID-19 evidence-based response) action. The aim was to focus on the timely collection, review and dissemination of summarised and synthesised evidence relating to COVID-19 and rehabilitation. Cochrane Rehabilitation REH-COVER action has included in 2020 five main initiatives: 1) rapid living systematic reviews on rehabilitation and COVID-19; 2) interactive living evidence map on rehabilitation and COVID-19; 3) definition of the research topics on "rehabilitation and COVID-19" in collaboration with the World Health Organization (WHO) rehabilitation programme; 4) Cochrane Library special collection on Coronavirus (COVID-19) rehabilitation; and 5) collaboration with COVID-END for the topics "rehabilitation" and "disability." Furthermore, we are still carrying on five different special projects: Be4rehab; RCTRACK; definition of rehabilitation for research purposes; ebook project; and a prioritization exercise for Cochrane Reviews production. The Review Working Area continued to identify and "tag" the rehabilitation-relevant reviews published in the Cochrane library; the Publication Working Area went on to publish Cochrane Corners, working more closely with the Cochrane Review Groups (CRGs) and Cochrane Networks, particularly with Cochrane Musculoskeletal, Oral, Skin and Sensory Network; the Education Working Area, the most damaged in 2020, tried to continue performing educational activities such as workshops in different online meetings; the Methodology Working Area organized the third and fourth Cochrane Rehabilitation Methodological (CRM) meetings respectively in Milan and Orlando; the Communication Working Area spread rehabilitation evidences through different channels and translated the contents in different languages.

Studying the social determinants of COVID-19 in a data vacuum.

Race‐based and other demographic information on COVID‐19 patients is not being collected consistently across provinces in Canada. Therefore, whether the burden of COVID‐19 is falling disproportionately on the shoulders of particular demographic groups is relatively unknown. In this article, we first provide an overview of the available geographic and demographic data related to COVID‐19. We then make creative use of these existing data to fill the vacuum and identify key demographic risk factors for COVID‐19 across Canada's health regions. Drawing on COVID‐19 counts and tabular census data, we examine the association between communities’ demographic composition and the number of COVID‐19 infections. COVID‐19 infections are higher in communities with larger shares of Black and low‐income residents. Our approach offers a way for researchers and policymakers to use existing data to identify communities nationwide that are vulnerable to the pandemic in the absence of more detailed demographic and more granular geographic data.

Applications of Markov model for cost-effectiveness analysis of screening in epidemiology

Cost-effectiveness analysis of screening in epidemiology is essential for public health decision-making. This paper describes the general principles, basic steps involved in implementation, analytic methods and other related issues of Markov model. Based on a practical research case of evaluating the cost-effectiveness of primary open-angle glaucoma screening in a Chinese population, key points in applications of Markov model for cost-effectiveness analysis of screening were discussed in detail, including model development, parameters definition, available software, base case analysis, sensitivity analysis and the interpretation of the results. For better supporting evidence-informed decision making in public health, future studies should be aware of the accuracy of parameters in Markov models and the transparency of the models and results, as well as complying with the relevant reporting standards.

Participation in the National Collaborating Centre for Methods and Tools’ Knowledge Broker Mentoring Program: a public health inspector perspective

Although evidence-informed decision making is an important part of the field of public health inspection, finding the time to stay informed of current research can be a challenge amidst day-to-day job expectations. This article will explore how two Public Health Inspectors (PHIs) from Ottawa Public Health, a municipal public health unit in Ontario, incorporated evidence-informed decision making (EIDM) into their work. They built their EIDM skills through participating in the 18-month Knowledge Broker (KB) Mentoring Program offered by the National Collaborating Centre for Methods and Tools. The program required a substantial time commitment, including nine in-person workshop days and dedicated hours to practice research appraisal skills and to complete a rapid review. The inspectors were approved and supported to spend the necessary time; however, they still found it difficult to designate hours for learning while balancing their frontline inspection workload. This article will share observations about the PHI’s involvement, including benefits and challenges as well as factors that facilitated their successful completion of the KB Mentoring Program.

Developing critical thinking skills for delivering optimal care

Healthcare systems across the world are challenged with problems of misdiagnosis, non-beneficial care, unwarranted practice variation and inefficient or unsafe practice. In countering these shortcomings, clinicians must be able to think critically, interpret and assimilate new knowledge, deal with uncertainty and change behaviour in response to compelling new evidence. Three critical thinking skills underpin effective care: clinical reasoning, evidence-informed decision-making and systems thinking. It is important to define these skills explicitly, explain their rationales, describe methods of instruction and provide examples of optimal application. Educational methods for developing and refining these skills must be embedded within all levels of clinician training and continuing professional development.

Addressing Complementary and Alternative Medicine Use Among Individuals With Cancer: An Integrative Review and Clinical Practice Guideline.

Complementary and alternative medicine (CAM) use is common among individuals with cancer, but many choose not to discuss CAM with health-care providers (HCPs). Moreover, there is variability in the provision of evidence-informed decision making about CAM use. A clinical practice guideline was developed to standardize how oncology HCPs address CAM use as well as to inform how individuals with cancer can be supported in making evidence-informed decisions about CAM. An integrative review of the literature, from inception to December 31, 2018, was conducted in MEDLINE, EMBASE, PsychINFO, CINAHL, and AMED databases. Eligible articles included oncology HCPs' practice related to discussing, assessing, documenting, providing decision support, or offering information about CAM. Two authors independently searched the literature, and selected articles were summarized. Recommendations for clinical practice were formulated from the appraised evidence and clinical experiences of the research team. An expert panel reviewed the guideline for usability and appropriateness and recommendations were finalized. The majority of the 30 studies eligible for inclusion were either observational or qualitative, with only 3 being reviews and 3 being experimental. From the literature, 7 practice recommendations were formulated for oncology HCPs regarding how to address CAM use by individuals with cancer, including communicating, assessing, educating, decision coaching, documenting, active monitoring, and adverse event reporting. It is imperative for safe and comprehensive care that oncology HCPs address CAM use as part of standard practice. This clinical practice guideline offers directions on how to support evidence-informed decision making about CAM among individuals with cancer.

Translating evidence into practice: a longitudinal qualitative exploration of allied health decision-making

BackgroundHealth policy and management decisions rarely reflect research evidence. As part of a broader randomized controlled study exploring implementation science strategies we examined how allied health managers respond to two distinct recommendations and the evidence that supports them.MethodsA qualitative study nested in a larger randomized controlled trial. Allied health managers across Australia and New Zealand who were responsible for weekend allied health resource allocation decisions towards the provision of inpatient service to acute general medical and surgical wards, and subacute rehabilitation wards were eligible for inclusion. Consenting participants were randomized to (1) control group or (2) implementation group 1, which received an evidence-based policy recommendation document guiding weekend allied health resource allocation decisions, or (3) implementation group 2, which received the same policy recommendation document guiding weekend allied health resource allocation decisions with support from a knowledge broker. As part of the trial, serial focus groups were conducted with a sample of over 80 allied health managers recruited to implementation group 2 only. A total 17 health services participated in serial focus groups according to their allocated randomization wave, over a 12-month study period. The primary outcome was participant perceptions and data were analysed using an inductive thematic approach with constant comparison. Thematic saturation was achieved.ResultsFive key themes emerged: (1) Local data is more influential than external evidence; (2) How good is the evidence and does it apply to us? (3) It is difficult to change things; (4) Historically that is how we have done things; and (5) What if we get complaints?ConclusionsThis study explored implementation of strategies to bridge gaps in evidence-informed decision-making. Results provide insight into barriers, which prevent the implementation of evidence-based practice from fully and successfully occurring, such as attitudes towards evidence, limited skills in critical appraisal, and lack of authority to promote change. In addition, strategies are needed to manage the risk of confirmation biases in decision-making processes.Trial registration This trial is registered with the Australian New Zealand Clinical Trials Registry (ANZCTR) (ACTRN12618000029291). Universal Trial Number (UTN): U1111-1205-2621.

Breaking Out of a Niche: Lessons for SMRs from Sustainability Transitions Studies

Small modular reactors (SMRs) are currently framed as a clean energy innovation with a vital role to play in decarbonizing power production. We review two popular sustainability transitions frameworks—strategic niche management and technological innovation systems— for case studies of analogous clean technology innovations. We focus on those that include policy-relevant recommendations that could be applied to the challenges posed by successfully scaling up SMRs from prototypes to commercial production. Particular attention is paid to how each approach understands the linkages between technology and the broader social and economic context. Innovative features of this paper include a systematic review of the lessons from renewable energy case studies for engagement with policy practitioners; reflections on the challenges of applying Euro-centric approaches in the sustainability transitions literature to non-European environments, including remote, northern, and indigenous communities; and some preliminary lessons for policy development that reflect the current situation with SMRs and support evidence-informed decision making in communities currently considering SMRs as part of a future clean energy mix.

Evidence-informed vaccination decision-making in countries: Progress, challenges and opportunities

Countries face an increasingly complex vaccination landscape. As well as ever-changing infectious disease epidemiology, the number and diversity of vaccine-preventable diseases, vaccine products, and vaccine technologies continue to increase. To ensure that vaccination decision-making is transparent, country-owned and informed by sound scientific evidence, many countries have established national immunization technical advisory groups (NITAGs) to provide independent expert advice. The past decade has seen substantial growth in NITAG numbers and functionality, and there is now a need to consolidate this progress, by further capacity building, to ensure that NITAGs are responsive to the changing face of immunization over the next decade.

Fostering Evidence-Informed Decision-Making for Protected Areas through the Alberta Parks Social Science Working Group

Since 2012, the Alberta Parks division in the Province of Alberta, Canada has been engaged in a process of building scientific, research, and evidence-informed capacity and practices across the parks system. Following a series of priority-setting workshops and agreements with the research, Parks management, and local communities, Alberta Parks has adopted a working group approach and subsequent framework, to support the research and decision-making goals of parks and protected areas management, and the research communities. This Social Science Framework is an innovative way to support evidence-informed decision-making in the public sphere by explicitly linking data-specific needs (benchmark data in social, natural, and applied sciences) with both established and emerging policy and research priorities. It is also a way to situate those needs within a broader goal of inter-organizational collaboration. This paper presents the background and developmental context to the framework, and its structure and desired functionality. The paper concludes with an assessment of the anticipated benefits and potential liabilities of this direction for linking academic and policy agents and organizations in a more formalized structure for environmental policy.

Benchmarking outcomes on multiple contextual levels in lean healthcare: a systematic review, development of a conceptual framework, and a research agenda

BackgroundReliable benchmarking in Lean healthcare requires widely relevant and applicable domains for outcome metrics and careful attention to contextual levels. These levels have been poorly defined and no framework to facilitate performance benchmarking exists.MethodsWe systematically searched the Pubmed, Scopus, and Web of Science databases to identify original articles reporting benchmarking on different contextual levels in Lean healthcare and critically appraised the articles. Scarcity and heterogeneity of articles prevented quantitative meta-analyses. We developed a new, widely applicable conceptual framework for benchmarking drawing on the principles of ten commonly used healthcare quality frameworks and four value statements, and suggest an agenda for future research on benchmarking in Lean healthcare.ResultsWe identified 22 articles on benchmarking in Lean healthcare on 4 contextual levels: intra-organizational (6 articles), regional (4), national (10), and international (2). We further categorized the articles by the domains in the proposed conceptual framework: patients (6), employed and affiliated staff (2), costs (2), and service provision (16). After critical appraisal, only one fifth of the articles were categorized as high quality.ConclusionsWhen making evidence-informed decisions based on current scarce literature on benchmarking in healthcare, leaders and managers should carefully consider the influence of context. The proposed conceptual framework may facilitate performance benchmarking and spreading best practices in Lean healthcare. Future research on benchmarking in Lean healthcare should include international benchmarking, defining essential factors influencing Lean initiatives on different levels of context; patient-centered benchmarking; and system-level benchmarking with a balanced set of outcomes and quality measures.

Artificial intelligence in educational leadership: a symbiotic role of human-artificial intelligence decision-making

PurposeArtificial intelligence (AI) refers to a type of algorithms or computerized systems that resemble human mental processes of decision-making. This position paper looks beyond the sensational hyperbole of AI in teaching and learning. Instead, this paper aims to explore the role of AI in educational leadership.Design/methodology/approachTo explore the role of AI in educational leadership, I synthesized the literature that intersects AI, decision-making, and educational leadership from multiple disciplines such as computer science, educational leadership, administrative science, judgment and decision-making and neuroscience. Grounded in the intellectual interrelationships between AI and educational leadership since the 1950s, this paper starts with conceptualizing decision-making, including both individual decision-making and organizational decision-making, as the foundation of educational leadership. Next, I elaborated on the symbiotic role of human-AI decision-making.FindingsWith its efficiency in collecting, processing, analyzing data and providing real-time or near real-time results, AI can bring in analytical efficiency to assist educational leaders in making data-driven, evidence-informed decisions. However, AI-assisted data-driven decision-making may run against value-based moral decision-making. Taken together, both leaders' individual decision-making and organizational decision-making are best handled by using a blend of data-driven, evidence-informed decision-making and value-based moral decision-making. AI can function as an extended brain in making data-driven, evidence-informed decisions. The shortcomings of AI-assisted data-driven decision-making can be overcome by human judgment guided by moral values.Practical implicationsThe paper concludes with two recommendations for educational leadership practitioners' decision-making and future scholarly inquiry: keeping a watchful eye on biases and minding ethically-compromised decisions.Originality/valueThis paper brings together two fields of educational leadership and AI that have been growing up together since the 1950s and mostly growing apart till the late 2010s. To explore the role of AI in educational leadership, this paper starts with the foundation of leadership—decision-making, both leaders' individual decisions and collective organizational decisions. The paper then synthesizes the literature that intersects AI, decision-making and educational leadership from multiple disciplines to delineate the role of AI in educational leadership.

Research use at the Ministry of Health in Burkina Faso: the decision-makers\u2019 perspective

BackgroundDespite the increased emphasis placed on the use of evidence for policy development, relatively few initiatives have been developed to support evidence-informed decision-making, especially in West Africa. Moreover, studies examining the conditions under which policy-makers use research-based evidence are still scarce, but they show that their attitudes and opinions about research are one of the main determinants of such use. In February 2017, Burkina Faso’s Minister of Health planned to create a unit to promote evidence-informed decision-making within the ministry. Before the unit was set up, documenting the attitudes towards research at the highest levels of his Ministry appeared profitable to the unit’s planning.MethodIndividual interviews were conducted by the author with 14 actors positioned to consider evidence during decision-making from the Burkina Faso’s Minister of health cabinet. An interview grid was used to explore several themes such as attitudes towards research, obstacles and facilitators to research use, example of research use in decision-making and finally, ways to increase decision-makers’ participation in knowledge transfer activities. Interviews were partially transcribed and analysed by the author.ResultsThe results show a mixed attitude towards research and relatively little indication of research use reported by respondents. Important obstacles were identified: evidence inaccessibility, lack of implementation guidelines, absence of clear communication strategy and studies’ lack of relevance for decision-making. Many suggestions were proposed such as raising awareness, improving access and research communication and prioritizing interactions with researchers. Respondents agree with the low participation of decision-makers in knowledge transfer activities: more leadership from the senior officials was suggested and greater awareness of the importance of their presence.ConclusionsThe conclusion presents avenues for reflection and action to increase the potential impact of the knowledge transfer unit planned within the Ministry of Health of Burkina Faso. This innovative initiative will be impactful if the obstacles identified in this study and policy-makers’ preferences and needs are taken into account during its development and implementation.

Developing competent public hospital managers: a qualitative study from Iran

PurposeHospitals need highly trained and competent managers to be responsible for the strategic development, overall operation and service provision. The identification and confirmation of core management competency requirements is a fundamental first step towards developing the competent management workforce for sustainable hospital service provision. This paper reports on the finding of a recent study focusing on identifying managerial competencies required by middle and senior-level managers in the public hospitals in Iran.Design/methodology/approachThe qualitative research design included position description analysis and focus group discussions with middle and senior-level public hospital managers in Iran. When analysing the identified knowledge, skills and attitudes, the validated MCAP framework was used to guide the grouping of them into associating management competencies.FindingsThe study identified 11 to 13 key tasks required by middle and senior-level managers and confirmed that the position descriptions used by current Iranian hospitals might not truly reflect the actual core responsibilities of the management positions. The study also confirmed seven core managerial competencies required to perform these tasks effectively. These core competencies included evidence-informed decision-making; operations, administration and resource management; knowledge of healthcare environment and the organisation; interpersonal, communication qualities and relationship management; leading people and organisation; enabling and managing change and professionalism.Research limitations/implicationsCompetencies were identified based on managers' perceptions. Views and experiences of other stakeholders were not captured.Practical implicationsThe seven core management competency identified in the current study provides a clear direction of competency development among senior and middle-level managers working at the Iranian public hospitals. The study also confirms that position descriptions do not reflect the actual responsibilities of current hospital managers, which are in need to urgent review.Originality/valueThis is the first study that has identified the core managerial competencies required by middle and senior-level hospital managers in Iran.