96 research outputs found

    Trends, variations, and prediction of staff sickness absence rates among NHS ambulance services in England: a time series study

    Get PDF
    Objectives: Our aim was to measure ambulance sickness absence rates over time, comparing ambulance services and investigate the predictability of rates for future forecasting. Setting: All English ambulance services, UK. Design: We used a time series design analysing published monthly National Health Service staff sickness rates by gender, age, job role and region, comparing the 10 regional ambulance services in England between 2009 and 2018. Autoregressive Integrated Moving Average (ARIMA) and Seasonal ARIMA (SARIMA) models were developed using Stata V.14.2 and trends displayed graphically. Participants: Individual participant data were not available. The total number of full-time equivalent (FTE) days lost due to sickness absence (including non-working days) and total number of days available for work for each staff group and level were available. In line with The Data Protection Act, if the organisation had less than 330 FTE days available during the study period it was censored for analysis. Results: A total of 1117 months of sickness absence rate data for all English ambulance services were included in the analysis. We found considerable variation in annual sickness absence rates between ambulance services and over the 10-year duration of the study in England. Across all the ambulance services the median days available were 1 336 888 with IQR of 548 796 and 73 346 median days lost due to sickness absence, with IQR of 30 551 days. Among clinical staff sickness absence varied seasonally with peaks in winter and falls over summer. The winter increases in sickness absence were largely predictable using seasonally adjusted (SARIMA) time series models. Conclusion: Sickness rates for clinical staff were found to vary considerably over time and by ambulance trust. Statistical models had sufficient predictive capability to help forecast sickness absence, enabling services to plan human resources more effectively at times of increased demand

    The experiences and perceptions of wellbeing provision among English ambulance services staff: a multi-method qualitative study

    Get PDF
    Background: NHS ambulance service staff are at risk of poor physical and mental wellbeing because of the likelihood of encountering stressful and traumatic incidents. While reducing sickness absence and improving wellbeing support to ambulance staff is a key NHS priority, few studies have empirically documented a national picture to inform policy and service re-design. The study aimed to understand how ambulance service trusts in England deal with staff health and wellbeing, as well as how the staff perceive and use wellbeing services. Methods: To achieve our aim, we undertook semi-structured telephone interviews with health and wellbeing leads and patient-facing ambulance staff, as well as undertaking documentary analysis of ambulance trust policies on wellbeing. The study was conducted both before and during the UK first COVID-19 pandemic wave. The University of Lincoln ethics committee and the Health Research Authority (HRA) granted ethical approval. Overall, we analysed 57 staff wellbeing policy documents across all Trusts. Additionally, we interviewed a Health and Wellbeing Lead in eight Trusts as well as 25 ambulance and control room staff across three Trusts. Results: The study highlighted clear variations between organisational and individual actions to support wellbeing across Trust policies. Wellbeing leads acknowledged real ‘tensions’ between individual and organisational responsibility for wellbeing. Behaviour changes around diet and exercise were perceived to have a positive effect on the overall mental health of their workforce. Wellbeing leads generally agreed that mental health was given primacy over other wellbeing initiatives. Variable experiences of health and wellbeing support were partly contingent on the levels of management support, impacted by organisational culture and service delivery challenges for staff. Conclusion: Ambulance service work can impact upon physical and mental health, which necessitates effective support for staff mental health and wellbeing. Increasing the knowledge of line managers around the availability of services could improve engagement

    Mixed-methods feasibility cluster randomised controlled trial of a paramedic-administered breathlessness management intervention for acute-on-chronic breathlessness (BREATHE): Study findings

    Get PDF
    Introduction: One-fifth of emergency department presentations by ambulance are due to acute-on-chronic breathlessness. We explored the feasibility of an evaluation-phase, cluster randomised controlled trial (cRCT) of the effectiveness and cost-effectiveness of a paramedic-administered, non-pharmacological breathlessness intervention for people with acute-on-chronic breathlessness at ambulance call-out (BREATHE) regarding breathlessness intensity and conveyance to hospital.Methods: This mixed-methods, feasibility cRCT (ISRCTN80330546), randomised paramedics to usual care or intervention plus usual care. Retrospective patient consent to use call-out data (primary endpoint) and prospective patient/carer consent for follow-up was sought. Potential primary outcomes included breathlessness intensity (numerical rating scale) and conveyance. Follow-up included: interviews with patients/carers and questionnaires at 14 days, 1 and 6 months; paramedic focus groups and surveys.Results: Recruitment was during COVID-19, with high demands on paramedics and fewer call-outs by eligible patients. We enrolled 29 paramedics; nine withdrew. Randomisation/trial procedures were acceptable. Paramedics recruited thirteen patients, not meeting recruitment target (n=36); eight patients and three carers were followed up. Data quality was good but insufficient for future sample size estimation.The intervention did not extend call-out time, was delivered with fidelity and was acceptable to patients, carers and paramedics. There were no repeat call-outs within 48 hours. All trained paramedics strongly recommended BREATHE as a highly relevant, simple intervention. Conclusion: Patient recruitment to target was not feasible during the pandemic. Training and intervention were acceptable and delivered with fidelity. Results include valuable information on recruitment, consent, attrition, and data collection that will inform the design and delivery of a definitive trial

    Mixed-methods feasibility cluster randomised controlled trial of a paramedic-administered breathlessness management intervention for acute-on-chronic breathlessness (BREATHE) : study findings

    Get PDF
    INTRODUCTION: One-fifth of emergency department presentations by ambulance are due to acute-on-chronic breathlessness. We explored the feasibility of an evaluation-phase, cluster randomised controlled trial (cRCT) of the effectiveness and cost-effectiveness of a paramedic-administered, non-pharmacological breathlessness intervention for people with acute-on-chronic breathlessness at ambulance call-out (BREATHE) regarding breathlessness intensity and conveyance to hospital. METHODS: This mixed-methods, feasibility cRCT (ISRCTN80330546) randomised paramedics to usual care or intervention plus usual care. Retrospective patient consent to use call-out data (primary end-point) and prospective patient/carer consent for follow-up was sought. Potential primary outcomes included breathlessness intensity (numerical rating scale) and conveyance. Follow-up included: interviews with patients/carers and questionnaires at 14 days, 1 and 6 months; paramedic focus groups and surveys. RESULTS: Recruitment was during COVID-19, with high demands on paramedics and fewer call-outs by eligible patients. We enrolled 29 paramedics; nine withdrew. Randomisation/trial procedures were acceptable. Paramedics recruited 13 patients, not meeting recruitment target (n=36); eight patients and three carers were followed-up. Data quality was good but insufficient for future sample size estimation. The intervention did not extend call-out time, was delivered with fidelity and was acceptable to patients, carers and paramedics. There were no repeat call-outs within 48 h. All trained paramedics strongly recommended BREATHE as a highly relevant, simple intervention. CONCLUSION: Patient recruitment to target was not feasible during the pandemic. Training and intervention were acceptable and delivered with fidelity. Results include valuable information on recruitment, consent, attrition and data collection that will inform the design and delivery of a definitive trial

    Gestating bodies: sensing foetal movement in first-time pregnancy

    Get PDF
    A large body of literature engages with personal accounts of pregnancy to illustrate the subjugation of women's embodied experience by practices of biomedicine. This article explores this issue through women's accounts of sensing initial foetal movement, drawn from qualitative interviews with 15 women resident in the UK. Participants depict this aspect of pregnant embodiment as ambiguous and indefinite, in contrast to clinical and popular representations of foetal movement. In highlighting the uncertainties characteristic of this corporeal event, the article adds to literature destabilising understandings of pregnant women's and foetal bodies as bounded and distinct. Ambiguous experiences of foetal movement arise in the context of sociocultural framings of pregnancy as ‘at risk’, and in turn, may be seen to contribute to these representations, with some participants articulating that uncertain sensations could provoke anxiety. In this article, perceptions of foetal movement are emphasised as valuable to women, and as inextricable from the social settings in which they emerge. This research has implications for sociological and feminist discussions of pregnancy, and work exploring the mutual shaping of corporeality and sociocultural contexts more widely

    Call volume, triage outcomes and protocols during the first wave of the COVID-19 pandemic in the UK : results of a national survey

    Get PDF
    Objectives During the first wave of the COVID-19 pandemic in the United Kingdom (UK), to describe volume and pattern of calls to emergency ambulance services, proportion of calls where an ambulance was dispatched, proportion conveyed to hospital, and features of triage used. Methods Semistructured electronic survey of all UK ambulance services (n = 13) and a request for routine service data on weekly call volumes for 22 weeks (February 1–July 3, 2020). Questionnaires and data request were emailed to chief executives and research leads followed by email and telephone reminders. The routine data were analyzed using descriptive statistics, and questionnaire data using thematic analysis. Results Completed questionnaires were received from 12 services. Call volume varied widely between services, with a UK peak at week 7 at 13.1% above baseline (service range -0.5% to +31.4%). All services ended the study period with a lower call volume than at baseline (service range -3.7% to -25.5%). Suspected COVID-19 calls across the UK totaled 604,146 (13.5% of all calls), with wide variation between services (service range 3.7% to 25.7%), and in service peaks of 11.4% to 44.5%. Ambulances were dispatched to 478,638 (79.2%) of these calls (service range 59.0% to 100.0%), with 262,547 (43.5%) resulting in conveyance to hospital (service range 32.0% to 53.9%). Triage models varied between services and over time. Two primary call triage systems were in use across the UK. There were a large number of products and arrangements used for secondary triage, with services using paramedics, nurses, and doctors to support decision making in the call center and on scene. Frequent changes to triage processes took place. Conclusions Call volumes were highly variable. Case mix and workload changed significantly as COVID-19 calls displaced other calls. Triage models and prehospital outcomes varied between services. We urgently need to understand safety and effectiveness of triage models to inform care during further waves and pandemics

    Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019 : A systematic analysis for the Global Burden of Disease Study 2019

    Get PDF
    Background Achieving universal health coverage (UHC) involves all people receiving the health services they need, of high quality, without experiencing financial hardship. Making progress towards UHC is a policy priority for both countries and global institutions, as highlighted by the agenda of the UN Sustainable Development Goals (SDGs) and WHO's Thirteenth General Programme of Work (GPW13). Measuring effective coverage at the health-system level is important for understanding whether health services are aligned with countries' health profiles and are of sufficient quality to produce health gains for populations of all ages. Methods Based on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we assessed UHC effective coverage for 204 countries and territories from 1990 to 2019. Drawing from a measurement framework developed through WHO's GPW13 consultation, we mapped 23 effective coverage indicators to a matrix representing health service types (eg, promotion, prevention, and treatment) and five population-age groups spanning from reproductive and newborn to older adults (≥65 years). Effective coverage indicators were based on intervention coverage or outcome-based measures such as mortality-to-incidence ratios to approximate access to quality care; outcome-based measures were transformed to values on a scale of 0–100 based on the 2·5th and 97·5th percentile of location-year values. We constructed the UHC effective coverage index by weighting each effective coverage indicator relative to its associated potential health gains, as measured by disability-adjusted life-years for each location-year and population-age group. For three tests of validity (content, known-groups, and convergent), UHC effective coverage index performance was generally better than that of other UHC service coverage indices from WHO (ie, the current metric for SDG indicator 3.8.1 on UHC service coverage), the World Bank, and GBD 2017. We quantified frontiers of UHC effective coverage performance on the basis of pooled health spending per capita, representing UHC effective coverage index levels achieved in 2019 relative to country-level government health spending, prepaid private expenditures, and development assistance for health. To assess current trajectories towards the GPW13 UHC billion target—1 billion more people benefiting from UHC by 2023—we estimated additional population equivalents with UHC effective coverage from 2018 to 2023. Findings Globally, performance on the UHC effective coverage index improved from 45·8 (95% uncertainty interval 44·2–47·5) in 1990 to 60·3 (58·7–61·9) in 2019, yet country-level UHC effective coverage in 2019 still spanned from 95 or higher in Japan and Iceland to lower than 25 in Somalia and the Central African Republic. Since 2010, sub-Saharan Africa showed accelerated gains on the UHC effective coverage index (at an average increase of 2·6% [1·9–3·3] per year up to 2019); by contrast, most other GBD super-regions had slowed rates of progress in 2010–2019 relative to 1990–2010. Many countries showed lagging performance on effective coverage indicators for non-communicable diseases relative to those for communicable diseases and maternal and child health, despite non-communicable diseases accounting for a greater proportion of potential health gains in 2019, suggesting that many health systems are not keeping pace with the rising non-communicable disease burden and associated population health needs. In 2019, the UHC effective coverage index was associated with pooled health spending per capita (r=0·79), although countries across the development spectrum had much lower UHC effective coverage than is potentially achievable relative to their health spending. Under maximum efficiency of translating health spending into UHC effective coverage performance, countries would need to reach 1398pooledhealthspendingpercapita(US1398 pooled health spending per capita (US adjusted for purchasing power parity) in order to achieve 80 on the UHC effective coverage index. From 2018 to 2023, an estimated 388·9 million (358·6–421·3) more population equivalents would have UHC effective coverage, falling well short of the GPW13 target of 1 billion more people benefiting from UHC during this time. Current projections point to an estimated 3·1 billion (3·0–3·2) population equivalents still lacking UHC effective coverage in 2023, with nearly a third (968·1 million [903·5–1040·3]) residing in south Asia. Interpretation The present study demonstrates the utility of measuring effective coverage and its role in supporting improved health outcomes for all people—the ultimate goal of UHC and its achievement. Global ambitions to accelerate progress on UHC service coverage are increasingly unlikely unless concerted action on non-communicable diseases occurs and countries can better translate health spending into improved performance. Focusing on effective coverage and accounting for the world's evolving health needs lays the groundwork for better understanding how close—or how far—all populations are in benefiting from UHC
    corecore