Assessing healthcare workers' confidence level in diagnosing and managing emerging infectious virus of human mpox in hospitals in Amhara Region, Northwest Ethiopia: multicentre institution-based cross-sectional study.

OBJECTIVE: To assess healthcare workers' (HCWs) confidence level in diagnosing and managing mpox disease and its associated factors in hospitals in the Amhara Region. DESIGN: Institution-based cross-sectional study. SETTING: Hospitals in the Amhara Region, Northwest Ethiopia. PARTICIPANTS: A total of 640 HCWs, with a response rate of 96.9%, participated from 1 October to 30 December 2022. A multistage stratified random sampling technique with proportional allocation was used to recruit study participants. Data were collected using the KoboCollect toolbox and exported to STATA V.17 for analysis. Descriptive statistics were used to describe data. Ordinal logistic regression analysis was used to identify predictors of confidence level to diagnose and manage mpox at p<0.05. PRIMARY OUTCOME: HCWs' confidence level in diagnosing and managing mpox disease and its associated factors. RESULTS: The overall proportion of HCWs who had high confidence level in diagnosing and managing mpox disease was found to be 31.5% (95% CI: 27.9%, 35.2%). Similarly, 26.8% (95% CI: 23.2%, 30.3%) and 41.8% (95% CI: 38.1%, 45.4%) of HCWs expressed medium and low confidence level to diagnose and manage the disease, respectively. The odds of higher confidence versus lower or medium confidence level in diagnosing and managing mpox were greater for HCWs who regularly visit amenable websites (adjusted OR (AOR)=1.59, 95% CI: 1.16, 2.2), were physicians (AOR=1.9, 95% CI: 1.32, 2.73), were aged 30-35 years old (AOR=1.64, 95% CI: 1.12, 2.39), had got public health emergency epidemic disease management training (AOR=2.8, 95% CI: 1.94, 4.04) and had positive attitudes (AOR=1.72, 95% CI: 1.26, 2.36) compared with their counterparts. CONCLUSION: The overall confidence level of HCWs in diagnosing and managing mpox disease in the study area was low. Therefore, the HCWs should be regularly updated about mpox disease through morning sessions and training in the diagnosis and clinical management of mpox disease including infection prevention and control.

Implications of interhospital patient transfers for emergency medical services transportation systems in the Netherlands: a retrospective study.

OBJECTIVES: Interhospital patient transfers have become routine. Known drivers are access to specialty care and non-clinical reasons, such as limited capacity. While emergency medical services (EMS) providers act as main patient transfer operators, the impact of interhospital transfers on EMS service demand and fleet management remains understudied. This study aims to identify patterns in regional interhospital patient transfer volumes and their spatial distribution, and to discuss their potential implications for EMS service demand and fleet management. DESIGN: A retrospective study was performed analysing EMS transport data from the province of Drenthe in the Netherlands between 2013 and 2019 and public hospital listings. Yearly volume changes in urgent and planned interhospital transfers were quantified. Further network analysis, including geomapping, was used to study how transfer volumes and their spatial distribution relate to hospital specialisation, and servicing multihospital systems. Organisational data were considered for relating transfer patterns to fleet changes. SETTING: EMS in the province of Drenthe, the Netherlands, 492 167 inhabitants. PARTICIPANTS: Analyses are based on routinely collected patient data from EMS records, entailing all 248 114 transports (137 168 patients) of the Drenthe EMS provider (2013-2019). From these interhospital transports were selected (24 311 transports). RESULTS: Interhospital transfers represented a considerable (9.8%) and increasing share of transports (from 8.6% in 2013 to 11.3% in 2019). Most transfers were related to multihospital systems (47.3%, 11 509 transports), resulting in a considerable growth of planned EMS transports (from 2093 in 2013 to 3511 in 2019). Geomapping suggests increasing transfer distances and diminishing resource efficiencies due to lacking follow-up rides. Organisational data clarify how EMS fleets were adjusted by expanding resources and reorganising fleet operation. CONCLUSIONS: Emerging interhospital network transfers play an important role in EMS service demand. Increased interhospital transport volumes and geographical spread require a redesign of current EMS fleets and management along regional lines.

Personalising veteran healthcare: recognising barriers to access for minority and under-represented groups of veterans.

Veterans are not a demographically homogenous group, yet minority groups continue to be under-represented in research and report feeling less able to access clinical services to seek support. While veteran-specific healthcare has responded to the needs of the majority, the success of veteran mental health services is contingent on serving the whole veteran population. Key to the personalisation of healthcare is the question of access and a need to address specific inequalities and barriers to help-seeking behaviour. In this paper, we explore the issues of access to veteran healthcare at three levels: those barriers common to all veterans; those common to all minority groups of veterans; and those relevant to specific minority groups of veterans. Stigma, military attitudes and culture (eg, stoicism), and access to services and professionals with veteran-specific knowledge are universal barriers across veteran groups. Minority groups report a heightening of these barriers, alongside being 'othered' in veteran care settings, a lack of representation of them or their experiences in service descriptions and advertising, a lack of professional cultural competencies on specific issue, and the veteran environment potentially being retraumatising. Finally, barriers specific to individual groups are discussed. Attending to these is essential in developing holistic approaches to personalised healthcare that meets the needs of all veterans.

Public preferences and willingness to pay for a net zero NHS: a protocol for a discrete choice experiment in England and Scotland.

INTRODUCTION: Climate change poses a major threat to our health, livelihoods and the planet. In 2020, the UK National Health Service (NHS) committed to reducing its Scope 1, 2 and 3 emissions to reach net zero by 2045. Although a net zero NHS would help to limit the consequences of climate change, little is known about the UK general public's values and preferences for the proposed service changes needed to reach net zero. METHODS: This study will elicit the public's preferences for actions to help achieve net zero NHS in England and Scotland using a discrete choice experiment (DCE). The DCE attributes and levels describe actions that can be taken by the NHS across key areas: buildings and estates, outdoor space, travel and transport, provision of care, goods and services and food and catering. The survey was designed using online think-aloud interviews with 17 members of the public. Two versions of the survey will be administered to a sample of up to 2200 respondents. One will include a payment vehicle as income tax increases. We will estimate the relative importance of each attribute and, for the former survey, the monetary trade-offs which individuals are willing to make between attributes. Where possible, we will match both samples to gauge preference robustness with the inclusion of the monetary payment. We will test whether respondents' preferences differ based on their socioeconomic circumstances and attitudes toward the NHS and climate change. ETHICS AND DISSEMINATION: The University of Aberdeen's School of Medicine, Medical Sciences and Nutrition Ethics Research Board has approved the study (reference: SERB/690090). All participants will provide informed consent. Results will be submitted to peer-reviewed publications and presented at relevant conferences and seminars. A lay summary of the research will be published on the Health Economics Research Unit website.

How do patients perceive the retirement of their general practitioner? A qualitative interview study in France.

OBJECTIVES: The perspective of general practitioners' (GPs) on retirement and the factors influencing their attitude towards retirement have been previously investigated. However, while the number of GPs has been declining for many years in France, leading to the emergence of medical deserts, the impact on their patients remains to be explored. The aim of this study was to understand patients' perceptions of their GP's retirement. DESIGN: A semistructured interview-based qualitative study was conducted, using Interpretative Phenomenological Analysis. SETTING: Interviews were conducted in two general practices located in Essonne, Ile-de-France, France, between January and April 2014. PARTICIPANTS: Thirteen women and five men, aged 21-94 years, were included in this study. Exclusion criteria were the non-declaration of the physician as the declared doctor and being under 18 years of age. RESULTS: The GP-patient relationship is a link that is built up over time, over the course of several consultations. Patients choose their GP based on qualities or skills they value. In this way, the physician chosen is unique for their patients; this choice reflects a certain loyalty to their physician. The interaction with the family sphere reinforces this relationship through the multiple links created during care. When a GP retires, this link is broken. Patients' reactions can range from indifference to real grief. CONCLUSION: This study confirms the importance of the link between the GPs and their patients and highlights the need to prepare patients for their GP's retirement.

Modelling years of life lost due to acute type A aortic dissection in the German healthcare setting: a predictive study.

OBJECTIVES: This study aimed to develop a patient-centred approach to the burden of acute type A aortic dissection (ATAAD) through modelling. The main objective was to identify potential improvements in managing this life-threatening cardiovascular condition and to provide evidence-based recommendations to optimise outcomes. DESIGN: We developed a predictive model along patient pathways to estimate the burden of ATAAD through the years of life lost (YLLs) metric. The model was created based on a systematic review of the literature and was parameterised using demographic data from the German healthcare environment. The model was designed to allow interactive simulation of different scenarios resulting from changes in key impact factors. SETTING: The study was conducted using data from the German healthcare environment and results from the literature review. PARTICIPANTS: The study included a comprehensive modelling of ATAAD cases in Germany but did not directly involve participants. INTERVENTIONS: There were no specific interventions applied in this study based on the modelling design. PRIMARY AND SECONDARY OUTCOME MEASURES: The single outcome measure was the estimation of YLL due to ATAAD in Germany. RESULTS: Our model estimated 102 791 YLL per year for ATAAD in Germany, with 62 432 and 40 359 YLL for men and women, respectively. Modelling an improved care setting yielded 93 191 YLL or 9.3% less YLL compared with the current standard while a worst-case scenario resulted in 113 023 or 10.0% more YLL. The model is accessible at https://acuteaorticdissection.com/ to estimate custom scenarios. CONCLUSIONS: Our study provides an evidence-based approach to estimating the burden of ATAAD and identifying potential improvements in the management of pathways. This approach can be used by healthcare decision-makers to inform policy changes aimed at optimising patient outcomes. By considering patient-centred approaches in any healthcare environment, the model has the potential to improve efficient care for patients suffering from ATAAD.

The 6I model: an expanded 4I framework to conceptualise interorganisational learning in the global health sector.

INTRODUCTION: An organisation's ability to learn and adapt is key to its long-term performance and success. Although calls to improve learning within and across health organisations and systems have increased in recent years, global health is lagging behind other sectors in attention to learning, and applications of conceptual models for organisational learning to this field are needed. LEVERAGING THE 4I FRAMEWORK: This article proposes modifications to the 4I framework for organisational learning (which outlines the processes of intuition, interpretation, integration and institutionalisation) to guide the creation, retention and exchange of knowledge within and across global health organisations. PROPOSED EXPANSIONS: Two expansions are added to the framework to account for interorganisational learning in the highly interconnected field: (1) learning pathways across organisations via formal or informal partnerships and communities of practice and (2) learning pathways to and from macro-level 'coordinating bodies' (eg, WHO). Two additional processes are proposed by which interorganisational learning occurs: interaction across partnerships and communities of practice, and incorporation linking global health organisations to coordinating bodies. Organisational politics across partnerships, communities of practice and coordinating bodies play an important role in determining why some insights are institutionalised while others are not; as such, the roles of the episodic influence and systemic domination forms of power are considered in the proposed additional organisational learning processes. DISCUSSION: When lessons are not shared across partnerships, communities of practice or the research community more broadly, funding may continue to support global health studies and programmes that have already been proven ineffective, squandering research and healthcare resources that could have been invested elsewhere. The '6I' framework provides a basis for assessing and implementing organisational learning approaches in global health programming, and in health systems more broadly.

Exploring the influence of health system factors on adaptive capacity in diverse hospital teams in Norway: a multiple case study approach.

OBJECTIVES: Understanding flexibility and adaptive capacities in complex healthcare systems is a cornerstone of resilient healthcare. Health systems provide structures in the form of standards, rules and regulation to healthcare providers in defined settings such as hospitals. There is little knowledge of how hospital teams are affected by the rules and regulations imposed by multiple governmental bodies, and how health system factors influence adaptive capacity in hospital teams. The aim of this study is to explore the extent to which health system factors enable or constrain adaptive capacity in hospital teams. DESIGN: A qualitative multiple case study using observation and semistructured interviews was conducted between November 2020 and June 2021. Data were analysed through qualitative content analysis with a combined inductive and deductive approach. SETTING: Two hospitals situated in the same health region in Norway. PARTICIPANTS: Members from 8 different hospital teams were observed during their workday (115 hours) and were subsequently interviewed about their work (n=30). The teams were categorised as structural, hybrid, coordinating and responsive teams. RESULTS: Two main health system factors were found to enable adaptive capacity in the teams: (1) organisation according to regulatory requirements to ensure adaptive capacity, and (2) negotiation of various resources provided by the governing authorities to ensure adaptive capacity. Our results show that aligning to local context of these health system factors affected the team's adaptive capacity. CONCLUSIONS: Health system factors should create conditions for careful and safe care to emerge and provide conditions that allow for teams to develop both their professional expertise and systems and guidelines that are robust yet sufficiently flexible to fit their everyday work context.

Frontline health workers' experiences of providing care for people living with non-communicable diseases during the COVID-19 pandemic in Ghana: a qualitative study.

BACKGROUND: The COVID-19 pandemic has significantly impacted frontline health workers. However, a neglected dimension of this discourse was the extent to which the pandemic impacted frontline healthcare workers providing non-communicable diseases (NCDs) care. This study aims to understand the experiences of healthcare workers with no prior exposure to pandemics who provided care to people living with NCDs (PLWNCDs). METHODS: A qualitative study design was employed, using a face-to-face in-depth interviews. Interviews were conducted in primary healthcare facilities in three administrative regions of Ghana, representing the Northern, Southern and Middle Belts. Only frontline health workers with roles in providing care for PLWNCDs were included. Purposive snowballing and convenience sampling methods were employed to select frontline health workers. An open-ended interview guide was used to facilitate data collection, and thematic content analysis was used to analyse the data. RESULTS: A total of 47 frontline health workers were interviewed. Overall, these workers experienced diverse patient-driven and organisational challenges. Patient-level challenges included a decline in healthcare utilisation, non-adherence to treatment, a lack of continuity, fear and stigma. At the organisational levels, there was a lack of medical logistics, increased infection of workers and absenteeism, increased workload and burnout, limited motivational packages and inadequate guidelines and protocols. Workers coped and responded to the pandemic by postponing reviews and consultations, reducing inpatient and outpatient visits, changing their prescription practices, using teleconsultation and moving to long-shift systems. CONCLUSION: This study has brought to the fore the experiences that adversely affected frontline health workers and, in many ways, affected the care provided to PLWNCDs. Policymakers and health managers should take these experiences into account in plans to mitigate the impact of future pandemics.

General practitioner workforce sustainability to maximise effective and equitable patient care: a realist review protocol.

INTRODUCTION: There are not enough general practitioners (GPs) in the UK National Health Service. This problem is worse in areas of the country where poverty and underinvestment in health and social care mean patients experience poorer health compared with wealthier regions. Encouraging more doctors to choose and continue in a GP career is a government priority. This review will examine which aspects of the healthcare system affect GP workforce sustainability, how, why and for whom. METHODS AND ANALYSIS: A realist review is a theory-driven interpretive approach to evidence synthesis, that brings together qualitative, quantitative, mixed-methods research and grey literature. We will use a realist approach to synthesise data from the available published literature to refine an evidence-based programme theory that will identify the important contextual factors and underlying mechanisms that underpin observed outcomes relating to GP workforce sustainability. Our review will follow Pawson's five iterative stages: (1) finding existing theories, (2) searching for evidence, (3) article selection, (4) data extraction and (5) synthesising evidence and drawing conclusions. We will work closely with key stakeholders and embed patient and public involvement throughout the review process to refine the focus of the review and enhance the impact and relevance of our research. ETHICS AND DISSEMINATION: This review does not require formal ethical approval as it draws on secondary data from published articles and grey literature. Findings will be disseminated through multiple channels, including publication in peer-reviewed journals, at national and international conferences, and other digital scholarly communication tools such as video summaries, X and blog posts. PROSPERO REGISTRATION NUMBER: CRD42023395583.

Low back pain management in primary healthcare: findings from a scoping review on models of care.

INTRODUCTION: Models of care (MoCs) describe evidence-informed healthcare that should be delivered to patients. Several MoCs have been implemented for low back pain (LBP) to reduce evidence-to-practice gaps and increase the effectiveness and sustainability of healthcare services. OBJECTIVE: To synthesise research evidence regarding core characteristics and key common elements of MoCs implemented in primary healthcare for the management of LBP. DESIGN: Scoping review. DATA SOURCES: Searches on MEDLINE (PubMed), EMBASE, Cochrane Central Register of Controlled Trials, PEDro, Scopus, Web of Science and grey literature databases were conducted. ELIGIBILITY CRITERIA: Eligible records included MoCs implemented for adult LBP patients in primary healthcare settings. DATA EXTRACTION AND SYNTHESIS: Data extraction was carried out independently by two researchers and included a summary of the studies, the identification of the MoCs and respective key elements, concerning levels of care, settings, health professionals involved, type of care delivered and core components of the interventions. Findings were investigated through a descriptive qualitative content analysis using a deductive approach. RESULTS: 29 studies reporting 11 MoCs were included. All MoCs were implemented in high-income countries and had clear objectives. Ten MoCs included a stratified care approach. The assessment of LBP patients typically occurred in primary healthcare while care delivery usually took place in community-based settings or outpatient clinics. Care provided by general practitioners and physiotherapists was reported in all MoCs. Education (n=10) and exercise (n=9) were the most common health interventions. However, intervention content, follow-ups and discharge criteria were not fully reported. CONCLUSIONS: This study examines the features of MoCs for LBP, highlighting that research is in its early stages and stressing the need for better reporting to fill gaps in care delivery and implementation. This knowledge is crucial for researchers, clinicians and decision-makers in assessing the applicability and transferability of MoCs to primary healthcare settings.

Operational patient care pathway: building pragmatic medical interoperability through health engagements.

The future operational demand for medical support in Western militaries will likely outstrip available resources, necessitating burden-sharing through medical interoperability with allies and partners. However, the current North Atlantic Treaty Organization (NATO) model of interoperability through standardisation, while achieving high levels of commonality and integration along the operational patient care pathway (OPCP), is high-cost and resource-intensive. We have termed this model assured interoperability. Assured interoperability, while applicable to well-established partnerships with high-resource nations, is unlikely to be feasible when working with resource-limited partners or, potentially, when in a sustained conflict with a near-peer adversary. In these circumstances, there will be a requirement to develop a far less resource-intensive model of medical interoperability with lower levels of commonality, assurance and standardisation than assured interoperability, but that provides a 'good enough' OPCP for the operational context. We have termed this pragmatic interoperability. By considering these two types of interoperability, the complete continuum of medical interoperability can be mapped with the full spectrum of partners demonstrating increasing levels of interoperability from pragmatic through to assured interoperability, integrateability and interchangeability, reducing the gap between demand and provision of medical support for operations, increasing operational resilience. This is a paper commissioned as a part of the Defence Engagement special issue of BMJ Military Health.

Solving poverty or tackling healthcare inequalities? Qualitative study exploring local interpretations of national policy on health inequalities under new NHS reforms in England.

OBJECTIVES: Major reforms to the organisation of the National Health Service (NHS) in England established 42 integrated care systems (ICSs) to plan and coordinate local services. The changes are based on the idea that cross-sector collaboration is needed to improve health and reduce health inequalities-and similar policy changes are happening elsewhere in the UK and internationally. We explored local interpretations of national policy objectives on reducing health inequalities among senior leaders working in three ICSs. DESIGN: We carried out qualitative research based on semistructured interviews with NHS, public health, social care and other leaders in three ICSs in England. SETTING AND PARTICIPANTS: We selected three ICSs with varied characteristics all experiencing high levels of socioeconomic deprivation. We conducted 32 in-depth interviews with senior leaders of NHS, local government and other organisations involved in the ICS's work on health inequalities. Our interviewees comprised 17 leaders from NHS organisations and 15 leaders from other sectors. RESULTS: Local interpretations of national policy objectives on health inequalities varied, and local leaders had contrasting-sometimes conflicting-perceptions of the boundaries of ICS action on reducing health inequalities. Translating national objectives into local priorities was often a challenge, and clarity from national policy-makers was frequently perceived as limited or lacking. Across the three ICSs, local leaders worried that objectives on tackling health inequalities were being crowded out by other short-term policy priorities, such as reducing pressures on NHS hospitals. The behaviour of national policy-makers appeared to undermine their stated priorities to reduce health inequalities. CONCLUSIONS: Varied and vague interpretations of NHS policy on health inequalities are not new, but lack of clarity among local health leaders brings major risks-including interventions being poorly targeted or inadvertently widening inequalities. Greater conceptual clarity is likely needed to guide ICS action in future.

Can proactive support prevent unscheduled care? A controlled observational retrospective cohort study in cancer patients in Scotland.

INTRODUCTION: Preventative spend is a global health and social care strategy. Improving Cancer Journeys (ICJ) is a proactive, holistic, multidisciplinary project consistent with this agenda, currently being rolled out across Scotland and parts of UK. ICJ helps people with cancer access whatever support they need to mitigate their most pressing concerns. This study hypothesised that ICJ service users should subsequently use less unscheduled care than matched cohorts not using ICJ. METHODS: Retrospective observational cohort study using linked national datasets. N = 1,214 ICJ users in Glasgow were matched for age, sex, deprivation, cancer type, stage, and diagnosis year to two control groups: 1. Cancer patients from Glasgow before ICJ (pre-2014), 2. Cancer patients from rest of Scotland during study period (2014-2018). Cancer registrations were linked for 12-month baseline and study periods to: NHS24 calls, A&E admissions, inpatient hospital admissions, unscheduled care, number & cost of psychotropic prescriptions. Per-person mean service uses were compared between groups. RESULTS: There was a significant increase in NHS24 calls in the ICJ group (0.36 per person vs. -0.03 or 0.35), more and longer A&E attendances in ICJ (0.37 per person vs. 0.19 or 0.26; 2.19 h per person vs. 0.81-0.92 h), more and longer hospital admissions in ICJ (4.25 vs. 2.59 or 2.53; 12.05 days vs. 8.37 or 8.64), more care pathways involving more steps in ICJ (0.77 spells vs. 0.39 or 0.57; 1.88 steps vs. 1.56 or 1.21), more psychotropic drug prescriptions and higher costs in ICJ (1.88 prescription vs. 1.56 or 1.21; £9.51 vs. £9.57 or £6.95) in comparison to both control groups. DISCUSSION: ICJ users sourced significantly more unscheduled care than matched cohorts. These findings were consistent with much of the comparable literature examining the impact of non-health interventions on subsequent health spend. They also add to the growing evidence showing that ICJ reached its intended target, those with the greatest need. Together these findings raise the possibility that those choosing to use ICJ may also be self-identifying as a cohort of people more likely to use unscheduled care in future. This needs to be tested prospectively, because this understanding would be very helpful for health and social care planners in all countries where proactive holistic services exist.

Social care data and its fitness for integrated health and social care service governance: an exploratory qualitative analysis in the Dutch context.

INTRODUCTION: To date, little is known on how social care data could be used to inform performance-based governance to accelerate progress towards integrated health and social care. OBJECTIVES AND DESIGN: This study aims to perform a descriptive evaluation of available social care data in the Netherlands and its fitness for integrated health and social care service governance. An exploratory mixed-method qualitative study was undertaken based on desktop research (41 included indicators), semi-structured expert interviews (13 interviews including 18 experts) and a reflection session (10 experts). SETTING: The Netherlands; social care is care provided in accordance with the Social Support Act, the Participation Law and the Law for Municipal debt-counselling. RESULTS: This study found six current uses for social care data: (a) communication and accountability, (b) monitoring social care policy, (c) early warning systems, (d) controls and fraud detection, (e) outreaching efforts and (f) prioritisation. Further optimisation should be sought through: standardisation, management of data exchange across domains, awareness of the link between registration and financing, strengthening the overall trust in data sharing. The study found five ways the enhanced social care data could be used to improve the governance of integrated health and social care services: (a) cross-domain learning and cooperation (eg, through benchmarks), (b) preventative measures and early warning systems, (c) give insight regarding the quality and effectivity of social care in a broader perspective, (d) clearer accountability of social care towards contracting parties and policy, (e) enable cross-sector data-driven governance model. CONCLUSION: Although there are several innovative initiatives for the optimisation of the use of social care data in the Netherlands, the current social care data landscape and management is not yet fit to support the new policy initiatives to strengthen integrated health and social care service governance. Directions for addressing the shortcomings are provided.

Carbon footprint of healthcare systems: a systematic review of evidence and methods.

OBJECTIVE: Given the demand for net-zero healthcare, the carbon footprint (CF) of healthcare systems has attracted increasing interest in research in recent years. This systematic review investigates the results and methodological transparency of CF calculations of healthcare systems. The methodological emphasis lies specifically on input-output based calculations. DESIGN: Systematic review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline. DATA SOURCES: PubMed, Web of Science, EconBiz, Scopus and Google Scholar were initially searched on 25 November 2019. Search updates in PubMed and Web of Science were considered until December 2023. The search was complemented by reference tracking within all the included studies. ELIGIBILITY CRITERIA: We included original studies that calculated and reported the CF of one or more healthcare systems. Studies were excluded if the specific systems were not named or no information on the calculation method was provided. DATA EXTRACTION AND SYNTHESIS: Within the initial search, two independent reviewers searched, screened and extracted information from the included studies. A checklist was developed to extract information on results and methodology and assess the included studies' transparency. RESULTS: 15 studies were included. The mean ratio of healthcare system emissions to total national emissions was 4.9% (minimum 1.5%; maximum 9.8%), and CFs were growing in most countries. Hospital care led to the largest relative share of the total CF. At least 71% of the methodological items were reported by each study. CONCLUSIONS: The results of this review show that healthcare systems contribute substantially to national carbon emissions, and hospitals are one of the main contributors in this regard. They also show that mitigation measures can help reduce emissions over time. The checklist developed here can serve as a reference point to help make methodological decisions in future research reports as well as report homogeneous results.

Heart failure clinic inclusion and exclusion criteria: cross-sectional study of clinic's and referring provider's perspectives.

OBJECTIVES: There are substantial variations in entry criteria for heart failure (HF) clinics, leading to variations in whom providers refer for these life-saving services. This study investigated actual versus ideal HF clinic inclusion or exclusion criteria and how that related to referring providers' perspectives of ideal criteria. DESIGN, SETTING AND PARTICIPANTS: Two cross-sectional surveys were administered via research electronic data capture to clinic providers and referrers (eg, cardiologists, family physicians and nurse practitioners) across Canada. MEASURES: Twenty-seven criteria selected based on the literature and HF guidelines were tested. Respondents were asked to list any additional criteria. The degree of agreement was assessed (eg, Kappa). RESULTS: Responses were received from providers at 48 clinics (37.5% response rate). The most common actual inclusion criteria were newly diagnosed HF with reduced or preserved ejection fraction, New York Heart Association class IIIB/IV and recent hospitalisation (each endorsed by >74% of respondents). Exclusion criteria included congenital aetiology, intravenous inotropes, a lack of specialists, some non-cardiac comorbidities and logistical factors (eg, rurality and technology access). There was the greatest discordance between actual and ideal criteria for the following: inpatient at the same institution (κ=0.14), congenital heart disease, pulmonary hypertension or genetic cardiomyopathies (all κ=0.36). One-third (n=16) of clinics had changed criteria, often for non-clinical reasons. Seventy-three referring providers completed the survey. Criteria endorsed more by referrers than clinics included low blood pressure with a high heart rate, recurrent defibrillator shocks and intravenous inotropes-criteria also consistent with guidelines. CONCLUSIONS: There is considerable agreement on the main clinic entry criteria, but given some discordance, two levels of clinics may be warranted. Publicising evidence-based criteria and applying them systematically at referral sources could support improved HF patient care journeys and outcomes.

Systematic review of individual-level, community-level, and healthcare system-level factors contributing to socioeconomic differences in healthcare utilisation in OECD countries with universal health coverage.

OBJECTIVES: Countries with universal health coverage (UHC) strive for equal access for equal needs without users getting into financial distress. However, differences in healthcare utilisation (HCU) between socioeconomic groups have been reported in countries with UHC. This systematic review provides an overview individual-level, community-level, and system-level factors contributing to socioeconomic status-related differences in HCU (SES differences in HCU). DESIGN: Systematic review following the Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) guidelines. The review protocol was published in advance. DATA SOURCES: Embase, PubMed, Web of Science, Scopus, Econlit, and PsycInfo were searched on 9 March 2021 and 9 November 2022. ELIGIBILITY CRITERIA: Studies that quantified the contribution of one or more factors to SES difference in HCU in OECD countries with UHC. DATA EXTRACTION AND SYNTHESIS: Studies were screened for eligibility by two independent reviewers. Data were extracted using a predeveloped data-extraction form. Risk of bias (ROB) was assessed using a tailored version of Hoy's ROB-tool. Findings were categorised according to level and a framework describing the pathway of HCU. RESULTS: Of the 7172 articles screened, 314 were included in the review. 64% of the studies adjusted for differences in health needs between socioeconomic groups. The contribution of sex (53%), age (48%), financial situation (25%), and education (22%) to SES differences in HCU were studied most frequently. For most factors, mixed results were found regarding the direction of the contribution to SES differences in HCU. CONCLUSIONS: SES differences in HCU extensively correlated to factors besides health needs, suggesting that equal access for equal needs is not consistently accomplished. The contribution of factors seemed highly context dependent as no unequivocal patterns were found of how they contributed to SES differences in HCU. Most studies examined the contribution of individual-level factors to SES differences in HCU, leaving the influence of healthcare system-level characteristics relatively unexplored.

Interventions to improve latent and active tuberculosis treatment completion rates in underserved groups in low incidence countries: a scoping review.

BACKGROUND: People in underserved groups have higher rates of tuberculosis (TB) and poorer treatment outcomes compared with people with no social risk factors. OBJECTIVES: This scoping review aimed to identify interventions that improve TB treatment adherence or completion rates. ELIGIBILITY CRITERIA: Studies of any design focusing on interventions to improve adherence or completion of TB treatment in underserved populations in low incidence countries. SOURCES OF EVIDENCE: MEDLINE, Embase and Cochrane CENTRAL were searched (January 2015 to December 2023). CHARTING METHODS: Piloted data extraction forms were used. Findings were tabulated and reported narratively. Formal risk of bias assessment or synthesis was not undertaken. RESULTS: 47 studies were identified. There was substantial heterogeneity in study design, population, intervention components, usual care and definition of completion rates. Most studies were in migrants or refugees, with fewer in populations with other risk factors (eg, homelessness, imprisonment or substance abuse). Based on controlled studies, there was limited evidence to suggest that shorter treatment regimens, video-observed therapy (compared with directly observed therapy), directly observed therapy (compared with self-administered treatment) and approaches that include tailored health or social support beyond TB treatment may lead to improved outcomes. This evidence is mostly observational and subject to confounding. There were no studies in Gypsy, Roma and Traveller populations, or individuals with mental health disorders and only one in sex workers. Barriers to treatment adherence included a lack of knowledge around TB, lack of general health or social support and side effects. Facilitators included health education, trusted relationships between patients and healthcare staff, social support and reduced treatment duration. CONCLUSIONS: The evidence base is limited, and few controlled studies exist. Further high-quality research in well-defined underserved populations is needed to confirm the limited findings and inform policy and practice in TB management. Further qualitative research should include more people from underserved groups.

Differences in inpatient performance of public general hospitals following implementation of a points-counting payment based on diagnosis-related group: a robust multiple interrupted time series study in Wenzhou, China.

OBJECTIVES: This study measures the differences in inpatient performance after a points-counting payment policy based on diagnosis-related group (DRG) was implemented. The point value is dynamic; its change depends on the annual DRGs' cost settlements and points of the current year, which are calculated at the beginning of the following year. DESIGN: A longitudinal study using a robust multiple interrupted time series model to evaluate service performance following policy implementation. SETTING: Twenty-two public general hospitals (8 tertiary institutions and 14 secondary institutions) in Wenzhou, China. INTERVENTION: The intervention was implemented in January 2020. OUTCOME MEASURES: The indicators were case mix index (CMI), cost per hospitalisation (CPH), average length of stay (ALOS), cost efficiency index (CEI) and time efficiency index (TEI). The study employed the means of these indicators. RESULTS: The impact of COVID-19, which reached Zhejiang Province at the end of January 2020, was temporary given rapid containment following strict control measures. After the intervention, except for the ALOS mean, the change-points for the other outcomes (p<0.05) in tertiary and secondary institutions were inconsistent. The CMI mean turned to uptrend in tertiary (p<0.01) and secondary (p<0.0001) institutions compared with before. Although the slope of the CPH mean did not change (p>0.05), the uptrend of the CEI mean in tertiary institutions alleviated (p<0.05) and further increased (p<0.05) in secondary institutions. The slopes of the ALOS and TEI mean in secondary institutions changed (p<0.05), but not in tertiary institutions (p>0.05). CONCLUSIONS: This study showed a positive effect of the DRG policy in Wenzhou, even during COVID-19. The policy can motivate public general hospitals to improve their comprehensive capacity and mitigate discrepancies in treatment expenses efficiency for similar diseases. Policymakers are interested in whether the reform successfully motivates hospitals to strengthen their internal impetus and improve their performance, and this is supported by this study.