Healthcare Workers: Heroes or Victims? Context of the Western World and Proposals to Prevent Violence.

Episodes of direct violence against healthcare workers and social workers represent a worrying and widespread phenomenon in Western countries. These violent attacks, whether verbal or physical, occur in various work environments, targeting professionals working in private facilities, medical practices, or those employed within the National Health System facilities. We conducted a search using a single search engine (PubMed) using the terms "violence against healthcare workers AND Western" for the period 2003-2023, identifying 45 results to which we added to the literature through hand searching. Our review thus analyzed the sector literature to highlight the phenomenon of violence against healthcare workers, particularly in Western countries. We began with an analysis of the problem and then focused on the true purpose of the study, which is to propose new solutions to protect healthcare workers in all work settings. Consequently, we aim to improve both the working environment for healthcare professionals and to enhance the overall healthcare and public health outcomes.

"They think we wear loincloths": Spatial stigma, coloniality, and physician migration in Puerto Rico.

Puerto Rico (PR) is facing an unprecedented healthcare crisis due to accelerating migration of physicians to the mainland United States (US), leaving residents with diminishing healthcare and excessively long provider wait times. While scholars and journalists have identified economic factors driving physician migration, our study analyzes the effects of spatial stigma within the broader context of coloniality as unexamined dimensions of physician loss. Drawing on 50 semi-structured interviews with physicians throughout PR and the US, we identified how stigmatizing meanings are attached to PR, its people, and its biomedical system, often incorporating colonial notions of the island's presumed backwardness, lagging medical technology, and lack of cutting-edge career opportunities. We conclude that in addition to economically motivated policies, efforts to curb physician migration should also address globally circulating ideas about PR, acknowledge their roots in coloniality, and valorize local responses to the crisis that are in danger of being lost to history.

Performance Evaluation of Hospitals under Data Uncertainty: An Uncertain Common-Weights Data Envelopment Analysis.

In the context of healthcare systems, the performance evaluation of hospitals plays a crucial role in assessing the quality of healthcare systems and facilitating informed decision-making processes. However, the presence of data uncertainty poses significant challenges to accurate performance measurement. This paper presents a novel uncertain common-weights data envelopment analysis (UCWDEA) approach for evaluating the performance of hospitals under uncertain environments. The proposed UCWDEA approach addresses the limitations of traditional data envelopment analysis (DEA) models by incorporating the uncertainty theory (UT) to model the inherent uncertainty in input and output data. Also, by utilizing a common set of weights (CSW) technique, the UCWDEA method provides a more robust and reliable assessment of hospital performance. The main advantages of the proposed UCWDEA approach can be succinctly summarized as follows. Firstly, it allows for the comparison of all hospitals on a consistent basis to calculate a realistic efficiency score, rather than an overly optimistic efficiency score. Secondly, the uncertain common-weights DEA approach exhibits linearity, enhancing its applicability. Thirdly, it possesses the capability to extend its utility under various other prevalent uncertainty distributions. Moreover, it enhances the discriminatory power of results, facilitates the ranking of hospitals in the presence of data uncertainty, and aids in identifying the sensitivity and stability levels of hospitals towards data uncertainty. Notably, in order to showcase the pragmatic application and efficacy of the uncertain common-weights DEA model, a genuine dataset has been utilized to evaluate the efficiency of 20 public hospitals in Tehran, all of which are affiliated with the Iran University of Medical Sciences. The results of the experiment demonstrate the efficacy of the UCWDEA approach in assessing and ranking hospitals amidst uncertain conditions. In summary, the research outcomes can offer policymakers valuable insights regarding hospital performance amidst data uncertainty. Additionally, it can provide practical recommendations on optimizing resource allocation, benchmarking performance, and formulating effective policies to augment the overall efficiency and effectiveness of healthcare services.

Health Workers' Responses to COVID-19 Pandemic's Impact on Service Delivery to Adolescents in HIV Treatment in Cape Town, South Africa: A Qualitative Study.

Adolescents living with HIV (ALHIVs) are considered a priority population in the fight against HIV, requiring dedicated services. The COVID-19 pandemic and subsequent disruptions deprived ALHIVs on antiretroviral therapy (ART) of the care and social support essential for treatment adherence and positive treatment outcomes. This study describes health managers' and healthcare workers' responses to the impact of COVID-19 on service delivery to ALHIVs in HIV treatment in the Cape Town Metropole. A descriptive qualitative design was employed, where semi-structured individual interviews (n = 13) were conducted with senior and programme managers as well as healthcare workers between April and October 2023. Inductive thematic analysis was performed using Atlas.ti version 23. Two main themes emerged from these interviews: "HIV service delivery to adolescents during the COVID-19 pandemic" and "Lessons learnt-the way forward". The de-escalation of health services at primary health facilities and the disruption of HIV services resulted in disengagement from care by ALHIVs, increasing mental health and treatment challenges. This warrants the restoration of psychosocial support services and the re-engagement of ALHIVs. The findings from this study can function as a guide for health systems and healthcare providers to navigate future pandemics to ensure that vulnerable populations such as ALHIVs continue to receive care and treatment.

Getting our ducks in a row: The need for data utility comparisons of healthcare systems data for clinical trials.

BACKGROUND: Better use of healthcare systems data, collected as part of interactions between patients and the healthcare system, could transform planning and conduct of randomised controlled trials. Multiple challenges to widespread use include whether healthcare systems data captures sufficiently well the data traditionally captured on case report forms. "Data Utility Comparison Studies" (DUCkS) assess the utility of healthcare systems data for RCTs by comparison to data collected by the trial. Despite their importance, there are few published UK examples of DUCkS. METHODS-AND-RESULTS: Building from ongoing and selected recent examples of UK-led DUCkS in the literature, we set out experience-based considerations for the conduct of future DUCkS. Developed through informal iterative discussions in many forums, considerations are offered for planning, protocol development, data, analysis and reporting, with comparisons at "patient-level" or "trial-level", depending on the item of interest and trial status. DISCUSSION: DUCkS could be a valuable tool in assessing where healthcare systems data can be used for trials and in which trial teams can play a leading role. There is a pressing need for trials to be more efficient in their delivery and research waste must be reduced. Trials have been making inconsistent use of healthcare systems data, not least because of an absence of evidence of utility. DUCkS can also help to identify challenges in using healthcare systems data, such as linkage (access and timing) and data quality. We encourage trial teams to incorporate and report DUCkS in trials and funders and data providers to support them.

Access to healthcare by undocumented Zimbabwean migrants in post-apartheid South Africa.

BACKGROUND:  Zimbabwean undocumented migrants rely on the South African public health care system for treatment of non-communicable and communicable diseases, surgery and medical emergency services. A gap remains to understand undocumented migrant experiences at a time when accessing public healthcare has been topical in South Africa. AIM:  This article aimed to describe and understand the experiences, challenges and health-seeking alternatives of undocumented Zimbabwean migrants in accessing healthcare services in Nellmapius in Pretoria. SETTING:  The study was conducted at Nellmapius in Pretoria. METHODS:  A qualitative descriptive research design was used. Structured interviews with 13 undocumented migrants were conducted by applying purposive and snowballing sampling techniques. The data were thematically analysed. RESULTS:  Migrants reported that the attitudes by healthcare officials suggest unwillingness to provide services to undocumented migrants, aggravating their vulnerability and perennial illness. Migrants faced challenges of discrimination, a lack of professional service delivery, a lack of financial capacity to pay for services and a lack of documentation evoking health-seeking alternatives. CONCLUSION:  Migrants continue to face challenges while accessing subsidised health care. This study confirms that medical xenophobia is generally present in the public health care centres, at least for the sampled undocumented Zimbabwean migrants. The majority of undocumented migrants cannot afford to pay for private healthcare.Contribution: The findings of this study inform national, provincial and local healthcare facilities to be ethical and provide dignified quality healthcare to undocumented migrants in line with international practices.

Analyzing the 20-year declining trend of hospital length-of-stay in European countries with different healthcare systems and reimbursement models.

The study aims to investigate the last 20-year (2000-2019) of hospital length of stay (LOS) trends and their association with different healthcare systems (HS) among 25 European countries. A panel dataset was created using secondary data from Eurostat and Global Burden of Disease study databases, with dependent and control variables aggregated at the national level over a period of 20 years. A time trend analysis was conducted using a weighted least squares model for panel data to investigate the association between LOS, HS models [National Health Service (NHS), National Health Insurance, Social Health Insurance (SHI), and Etatist Social Health Insurance], healthcare reimbursement schemes [Prospective Global Budget (PGB), Diagnosis Related Groups (DRG), and Procedure Service Payment (PSP)], and control variables. The study showed a reduction of average LOS from 9.20 days in 2000 to 7.24 in 2019. SHI was associated with a lower LOS compared to NHS (b = - 0.6327, p < 0.05). Both DRG (b = 1.2399, p < 0.05) and PSP (b = 1.1677, p < 0.05) reimbursement models were positively associated with LOS compared to PGB. Our results confirmed the downward trend of LOS in the last 20 years, its multifactorial nature, and the influence of the SHI model of HS. This could be due to the financial incentives present in fee-for-service payment models and the role of competition in creating a market for healthcare services. These results offer insight into the factors influencing healthcare utilization and can inform the design of more effective, efficient, and sustainable HS.

Workforce readiness for pharmacogenomics and key elements for sustainment within the Veterans Health Administration.

Aim: Understanding barriers and facilitators to pharmacogenomics (PGx) implementation and how to structure a clinical program with the Veterans Health Administration (VA). Materials & methods: Healthcare provider (HCP) survey at 20 VA facilities assessing PGx knowledge/acceptance and qualitative interviews to understand how best to design and sustain a national program. Results: 186 (12% response rate) surveyed believed PGx informs drug efficacy (74.7%) and adverse events (71.0%). Low confidence in knowledge (43.0%) and ability to implement (35.4-43.5%). 23 (60.5% response rate) interviewees supported a nationally program to oversee VA education, consultation and IT resources. Prescribing HCPs should be directing local activities. Conclusion: HCPs recognize PGx value but are not prepared to implement. Healthcare systems should build system-wide programs for implementation education and support.

Anti-Amyloid Therapies for Alzheimer's Disease: An Alzheimer Europe Position Paper and Call to Action.

The growing prevalence and burden of Alzheimer's disease has catalysed huge investments in research on its causes, diagnosis, treatment and care. After many high-profile failures, recent clinical trials of anti-amyloid drugs have marked a turning point for the field, leading to the approval of the first disease-modifying therapies for Alzheimer's disease by the FDA. It is now up to European regulators to determine whether there is sufficient evidence to approve these drugs for patients with mild cognitive impairment or mild dementia due to Alzheimer's disease. Here, we outline Alzheimer Europe's position on anti-amyloid therapies for Alzheimer's disease, which was adopted by the Board of Alzheimer Europe following consultations with our member associations and with the European Working Group of People with Dementia. Beyond questions of drug efficacy, safety and cost, we highlight important issues that must be addressed by industry, regulators, payers, healthcare systems and governments, to ensure that patients have timely, appropriate and equitable access to innovative treatments, regardless of their socio-economic background, insurance status, or place of residence. We also call for continued investment in research on treatments that might benefit people with more advanced Alzheimer's disease - as well as support and care services that can help people live well with dementia at all stages of the disease.

Values Beyond "Health" in Budget-Constrained Healthcare Systems.

OBJECTIVES: Most current methods to value healthcare treatments only incorporate measures such as quality-adjusted life-years, combining gains in health-related quality of life and life expectancy in specific ways. Failure of these methods to recognize other dimensions of value has led to calls for methods to include additional values that are associated with the healthcare treatments but not captured directly by quality-adjusted life-years. This article seeks to provide methodologically sound ways to incorporate additional health-related outcomes, focusing on budget-constrained healthcare systems, in which using standard welfare economics methods are often eschewed. METHODS: The analysis develops standard extra-welfarist approaches to maximizing aggregate health, subject to fixed-budget constraints, using Lagrange multiplier methods. Then, additional valuable health-related outcomes, eg, reduced caregiver burden, real option value, and market- and non-market productivity are introduced. The article also introduces a social welfare function approach to illuminate how disability, disease severity and other equity-related issues can be incorporated into complete welfare measures. RESULTS: Resulting analysis, fully developed in an Appendix in Supplemental Materials found at https://doi.org/10.1016/j.jval.2024.02.005 and summarized in the main text, show that understanding how average and marginal healthcare costs increase with output and how health augments "additional values" provides ways to assess willingness to pay for them in these fixed-budget situations. CONCLUSIONS: In budget-constrained healthcare systems, only from actual budget allocations can values both of health itself and "additional values" be inferred. These methods, combined with methodologically sound social welfare functions, demonstrate how to move from "health" to "welfare" in measuring the value of increased healthcare use.

Multirole of the internet of medical things (IoMT) in biomedical systems for managing smart healthcare systems: An overview of current and future innovative trends.

Internet of Medical Things (IoMT) is an emerging subset of Internet of Things (IoT), often called as IoT in healthcare, refers to medical devices and applications with internet connectivity, is exponentially gaining researchers' attention due to its wide-ranging applicability in biomedical systems for Smart Healthcare systems. IoMT facilitates remote health biomedical system and plays a crucial role within the healthcare industry to enhance precision, reliability, consistency and productivity of electronic devices used for various healthcare purposes. It comprises a conceptualized architecture for providing information retrieval strategies to extract the data from patient records using sensors for biomedical analysis and diagnostics against manifold diseases to provide cost-effective medical solutions, quick hospital treatments, and personalized healthcare. This article provides a comprehensive overview of IoMT with special emphasis on its current and future trends used in biomedical systems, such as deep learning, machine learning, blockchains, artificial intelligence, radio frequency identification, and industry 5.0.

The development of inherited cardiac conditions services: current position and future perspectives.

BACKGROUND: Over the last two decades, inherited cardiac conditions (ICC) centres have emerged with the aim of improving outcomes for patients and their families, through early diagnosis, genetic testing, risk assessment and specialist treatment. SOURCES OF DATA: A literature search was performed using PubMed (https://pubmed.ncbi.nlm.nih.gov/). Commissioned ICC service reviews from NHS England, NHS Improvement and PHG Foundation were evaluated. AREAS OF AGREEMENT: ICC patient management requires a multi-disciplinary approach. ICC services are predominantly based within tertiary centres. Despite expansion, provision of care remains inadequate to meet rising demands. Access to services is inconsistent, partly due to geographic variation and lack of standardized pathways. AREAS OF CONTROVERSY: The optimal ICC care model remains undecided, although there is growing interest in 'hub-and-spoke' networks, which could aid secondary and tertiary service integration and repatriation of care. GROWING POINTS: Genetic mainstreaming is a priority for the Genomic Medicine Service Alliance. The benefits of telehealth and virtual clinics have been validated by their use during the COVID-19 pandemic. Other innovations to improve resource efficiency, such as clinical scientist-led and nurse-led clinics, show promise. AREAS TIMELY FOR DEVELOPING RESEARCH: An update for the NHS ICC service specifications is planned that appears well timed given the rapid evolution of the ICC landscape in the decade since last review. This has the potential to address needs including national audit, standardized pathways and ICC networks to improve governance and equity of care. Delegation of commissioning for specialist services to integrated care systems may also provide opportunity for increased regional direction.

Making Oneself "Fit": Community Perspectives on Disaggregated Race and Ethnicity Data Collection and Reporting in Healthcare Settings.

Patient race/ethnicity data collection in most U.S. health systems abide by federal standards, determined by the federal Office of Management and Budget. Yet, decades of research show that reliance on these categories alone limits understanding of within-group health disparities, systematically erasing key groups from health data. Because granular race/ethnicity data is complex and patients may be hesitant to disclose this personal information, it is important for health leaders to consider community perspectives when making decisions about race/ethnicity data procedures. As such, this study uses community focus groups to understand: (1) how individuals representing different racial/ethnic identities perceive the collection of race/ethnicity in healthcare settings; (2) differences in opinions between disaggregated race/ethnicity data collection instruments and those using federal standards; and (3) recommended practices for collecting race/ethnicity from patients. Participants self-selected into 13 focus groups and one key informant interview based on the race/ethnicity with which they most closely identified. Audio recordings from these groups were transcribed and evaluated using thematic content analysis. Among the 83 total participants in this study, there was a strong preference for more flexible and specific options for self-identifying race/ethnicity in healthcare settings. Participants also felt comfortable disclosing granular race/ethnicity to health providers but expressed discomfort with disclosing this information for other purposes. Recommendations for healthcare leaders include ensuring patients receive detailed communication about race/ethnicity data use and purpose, allowing multiple category selection, keeping the list of disaggregated response options short so as to not overwhelm patients, and providing a free text option to ensure inclusivity.

Using healthcare systems data for outcomes in clinical trials: issues to consider at the design stage.

BACKGROUND: Healthcare system data (HSD) are increasingly used in clinical trials, augmenting or replacing traditional methods of collecting outcome data. This study, PRIMORANT, set out to identify, in the UK context, issues to be considered before the decision to use HSD for outcome data in a clinical trial is finalised, a methodological question prioritised by the clinical trials community. METHODS: The PRIMORANT study had three phases. First, an initial workshop was held to scope the issues faced by trialists when considering whether to use HSDs for trial outcomes. Second, a consultation exercise was undertaken with clinical trials unit (CTU) staff, trialists, methodologists, clinicians, funding panels and data providers. Third, a final discussion workshop was held, at which the results of the consultation were fed back, case studies presented, and issues considered in small breakout groups. RESULTS: Key topics included in the consultation process were the validity of outcome data, timeliness of data capture, internal pilots, data-sharing, practical issues, and decision-making. A majority of consultation respondents (n = 78, 95%) considered the development of guidance for trialists to be feasible. Guidance was developed following the discussion workshop, for the five broad areas of terminology, feasibility, internal pilots, onward data sharing, and data archiving. CONCLUSIONS: We provide guidance to inform decisions about whether or not to use HSDs for outcomes, and if so, to assist trialists in working with registries and other HSD providers to improve the design and delivery of trials.

Sepsis in Latvia-Incidence, Outcomes, and Healthcare Utilization: A Retrospective, Observational Study.

This study explores the incidence, outcomes, and healthcare resource utilization concerning sepsis in Latvia's adult population. Using a merged database from the National Health Service and the Latvian Centre for Disease Prevention and Control, sepsis-related hospitalizations were analyzed from 2015-2020. Findings revealed a 53.1% surge in sepsis cases from 2015-2018 with subsequent stabilization. This spike was more prominent among elderly patients. The age/sex adjusted case fatality rate rose from 34.7% in 2015 to 40.5% in 2020. Of the 7764 sepsis survivors, the one-year mortality rate was 12% compared to 2.2% in a reference group of 20,686 patients with infections but no further signs of sepsis. Sepsis survivors also incurred higher healthcare costs, driven by longer rehospitalizations and increased pharmaceutical needs, though they accessed outpatient services less frequently than the reference group. These findings underscore the growing detection of sepsis in Latvia, with survivors facing poorer outcomes and suggesting the need for enhanced post-sepsis outpatient care.

Descriptive Analysis of Trauma Admission Trends before and during the COVID-19 Pandemic.

INTRODUCTION: Traumatic injuries are a significant global health concern, with profound medical and socioeconomic impacts. This study explores the patterns of trauma-related hospitalizations in the Lublin Province of Poland, with a particular focus on the periods before and during the COVID-19 pandemic. AIM OF THE STUDY: The primary aim of this research was to assess the trends in trauma admissions, the average length of hospital stays, and mortality rates associated with different types of injuries, comparing urban and rural settings over two distinct time periods: 2018-2019 and 2020-2021. METHODS: This descriptive study analyzed trauma admission data from 35 hospitals in the Lublin Province, as recorded in the National General Hospital Morbidity Study (NGHMS). Patients were classified based on the International Classification of Diseases Revision 10 (ICD-10) codes. The data were compared for two periods: an 11-week span during the initial COVID-19 lockdown in 2020 and the equivalent period in 2019. RESULTS: The study found a decrease in overall trauma admissions during the pandemic years (11,394 in 2020-2021 compared to 17,773 in 2018-2019). Notably, the average length of hospitalization increased during the pandemic, especially in rural areas (from 3.5 days in 2018-2019 to 5.5 days in 2020-2021 for head injuries). Male patients predominantly suffered from trauma, with a notable rise in female admissions for abdominal injuries during the pandemic. The maximal hospitalization days were higher in rural areas for head and neck injuries during the pandemic. CONCLUSIONS: The study highlights significant disparities in trauma care between urban and rural areas and between the pre-pandemic and pandemic periods. It underscores the need for healthcare systems to adapt to changing circumstances, particularly in rural settings, and calls for targeted strategies to address the specific challenges faced in trauma care during public health crises.

The use of healthcare systems data for RCTs.

BACKGROUND: Healthcare systems data (HSD) has the potential to optimise the efficiency of randomised controlled trials (RCTs), by decreasing trial-specific data demands. Therefore, the use of HSD in trials is expected to increase. In 2019, it was estimated that 47% of NIHR-funded trials were planning to use HSD. We aim to understand the extent and nature of its current use and its evolution over time. METHODS: We identified a cohort of RCTs within the NIHR Journals Library that commenced after 2019 and were described as being in progress on 6 June 2022. Details on the source and use of HSD were extracted from eligible RCTs. The use of HSD was categorised according to whether it was used as the sole data source for outcomes and whether the outcomes were primary or secondary. HSD is often insufficient for patient-reported outcomes (PROs). We aimed to determine methods used by trialists for collecting PRO data alongside HSD. RESULTS: Of the 84 eligible studies, 52 (62%) planned to use HSD and 79 (94%) planned to collect PROs. The number of RCTs planning to use HSD for at least one outcome was 28 (54%) with 24 of these planning to use HSD as the sole data source for at least one outcome. The number of studies planning to use HSD for primary and secondary outcomes was 10 (20%) and 21 (40%) respectively. The sources of HSD were National Health Service (NHS) Digital (n = 37, 79%), patient registries (n = 7, 29%), primary care (n = 5, 21%), The Office for National Statistics (ONS) (n = 3, 13%) and other (n = 2, 8%). PROs were collected for 92% of the trials planning to use HSD. Methods for collection of PROs included in-person (n = 26, 54%), online (n = 22, 46%), postal (n = 18, 38%), phone (n = 14, 29%) and app (n = 2, 4%). CONCLUSIONS: HSD is being used in around two thirds of the studies but cannot yet be used to support PRO data collection within the cohort we examined. Comparison with an earlier cohort demonstrates an increase in the number of RCTs planning to use HSD.

Factors associated with delay or avoidance of medical care during the COVID-19 pandemic in Armenia: results from a nationwide survey.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has disrupted healthcare systems throughout the world. Many patients faced delays and cancellation of care due to scaled back services, mobility restrictions, and concerns related to the risk of infection. The present study aimed to assess the prevalence of and risk factors associated with the avoidance or delay of medical care due to COVID-19 in Armenia. METHODS: We conducted a cross-sectional telephone survey of 3,483 adults across Armenia. We used stratified two-stage cluster sampling to select the participants from different age groups proportionate to their size in the population. Logistic regression analysis assessed the association of risk factors with avoidance/delay of routine, urgent/emergency, and any medical care. RESULTS: The mean age of the sample was 49.5 (SD = 14.8), ranging from 18 to 90. About 9.9% of the respondents avoided/delayed any type of medical care; whereas 5.5% avoided/delayed urgent/emergency care and 6.6% routine care. In the adjusted analysis, female gender and higher monthly expenditures were associated with avoidance/delay of routine medical care. Factors associated with delay/avoidance of urgent/emergency care included female gender and higher perceived threat of COVID-19. Younger age, female gender, higher perceived threat and not being vaccinated against COVID-19 were associated with avoidance/delay of any medical care in the adjusted analysis. CONCLUSION: Since avoiding or delaying care might increase morbidity and mortality associated with conditions not related to COVID-19, identifying population groups that are more likely to avoid care is important. Targeting such groups with educational interventions focusing on the risks of using versus not using medical care in times of pandemic might be crucial. Ensuring the provision of in-home healthcare services for high-risk groups might help to address important medical care needs during the pandemic.

The effect of primary healthcare on mortality: Evidence from Costa Rica.

This paper uses the gradual implementation of a primary healthcare (PHC) intervention in Costa Rica to examine the long-term effect of PHC on mortality. Nine years after opening a primary care center, known as a Health Area, there was an associated 13% reduction in age-adjusted mortality rate in the assigned patient population. The effect was highest among adults over 65 years of age and for those with noncommunicable diseases, such as cardiovascular-related causes of death. We also show that as Health Areas opened, more individuals sought care at primary care clinics, while fewer sought care at emergency rooms; these changes may have partially mediated the effect of the intervention on mortality.

Surgical leadership in a culture of safety: An inter-professional study of metrics and tools for improving clinical practice.

BACKGROUND: Leadership in a safety culture environment is essential in avoiding patient harm. However, leadership in surgery is not routinely taught or assessed. This study aims to identify a framework, metrics and tools to improve surgical leadership and safety outcomes. METHODS: Qualitative interviews were performed with leadership experts from safety-critical professions. Non-probability-based sampling was undertaken in major international airlines. Data underwent thematic analysis and clinical adaptation by multiple surgeon-analysts using the framework method. RESULTS: 583 codes were synthesised into 10 themes. Leaders were identified as 'threat and error managers' who placed safety first. Their core attribute was humble confidence. This allowed them to set the tone for high standards of practice, whilst empowering individuals to speak up about safety issues. Safety-oriented leaders assumed complete responsibility and applied their authority discerningly to obtain optimal outcomes. Finally, effective leaders rallied support for their mission by instilling confidence, building collaborations and managing conflict. CONCLUSIONS: Surgical leadership requires the ability to manage risk, opportunity and people. The study provides an assessment matrix and deliverable tools for improving surgical safety.