Health care utilization and the associated costs attributable to cardiovascular disease in Ireland: a cross-sectional study.

BACKGROUND: Cardiovascular disease (CVD) is the leading cause of mortality and disability globally. We examined healthcare service utilization and costs attributable to CVD in Ireland in the period before the introduction of a major healthcare reform in 2016. METHODS: Secondary analysis of data from 8 113 participants of the first wave of The Irish Longitudinal Study on Ageing. CVD was defined as having a self-reported doctor's diagnosis of myocardial infarction, angina, heart failure, stroke, atrial fibrillation or transient ischaemic attack. Participants self-reported the utilization of healthcare services in the year preceding the interview. Negative binomial regression with average marginal effects (AME) was used to estimate the incremental number of general practitioner (GP) and outpatient department (OPD) visits, accident and emergency department attendances and hospitalisations in population with CVD relative to population without CVD. We calculated the corresponding costs at individual and population levels, by gender and age groups. RESULTS: The prevalence of CVD was 18.2% (95% CI: 17.3, 19.0) Participants with CVD reported higher utilization of all healthcare services. In adjusted models, having CVD was associated with incremental 1.19 (95% CI: 0.99, 1.39) GP and 0.79 (95% CI: 0.65, 0.93) OPD visits. There were twice as many incremental hospitalisations in males with CVD compared to females with CVD (AME (95% CI): 0.20 (0.16, 0.23) vs 0.10 (0.07, 0.14)). The incremental cost of healthcare service use in population with CVD was an estimated €352.2 million (95% CI: €272.8, €431.7), 93% of which was due to use of secondary care services. CONCLUSION: We identified substantially increased use of healthcare services attributable to CVD in Ireland. Continued efforts aimed at CVD primary prevention and management are required.

Barriers and enablers to screening and diagnosing diabetes distress and depression in people with type 2 diabetes mellitus: A qualitative evidence synthesis.

AIM: Synthesise qualitative evidence of healthcare professionals' (HCP) experiences of diabetes distress and depression screening in people with type 2 diabetes (T2DM) in primary care to identify HCP barriers and enablers to screening implementation. METHODS: Searched six electronic databases in October 2020 for qualitative studies exploring HCPs' experiences of diabetes distress and depression screening in T2DM populations. Applying a best-fit framework synthesis, data were coded to the theoretical domains framework (TDF), followed by thematic analysis of data that did not fit the TDF. Study quality and confidence in findings were assessed using CASP and GRADE-CERQual respectively. FINDINGS: Of 4942 unique records identified, 10 articles were included. We identified fifteen barriers and enablers in 8 TDF domains and 1 new domain; people with T2DM factors. One barrier (poor awareness about the rationale for screening) and 2 enablers (perceived impacts on T2DM care, receiving financial reimbursement) were assessed as findings of high confidence. CONCLUSION: HCPs experience many barriers and enablers to diabetes distress and depression screening among people with T2DM in primary care. Future interventions and policies should ensure HCPs understand the rationale for screening, highlight the benefits of screening, resource screening appropriately and address HCP group specific barriers.

An interrupted time-series analysis of the impact of emergency department reconfiguration on regional emergency department trolley numbers in Ireland from 2005 to 2015.

OBJECTIVES: To understand the impact of emergency department (ED) reconfiguration on the number of patients waiting for hospital beds on trolleys in the remaining EDs in four geographical regions in Ireland using time-series analysis. SETTING: EDs in four Irish regions; the West, North-East, South and Mid-West from 2005 to 2015. PARTICIPANTS: All patients counted as waiting on trolleys in an ED for a hospital bed in the study hospitals from 2005 to 2015. INTERVENTION: The system intervention was the reconfiguration of ED services, as determined by the Department of Health and Health Service Executive. The timing of these interventions varied depending on the hospital and region in question. RESULTS: Three of the four regions studied experienced a significant change in ED trolley numbers in the 12-month post-ED reconfiguration. The trend ratio before and after the intervention for these regions was as follows: North-East incidence rate ratio (IRR) 2.85 (95% CI 2.04 to 3.99, p<0.001), South IRR 0.68 (95% CI 0.51 to 0.89, p=0.006) and the Mid-West IRR 0.03 (95% 1.03 to 2.03, p=0.03). Two of these regions, the South and the Mid-West, displayed a convergence between the observed and expected trolley numbers in the 12-month post-reconfiguration. The North-East showed a much steeper increase, one that extended beyond the 12-month period post-ED reconfiguration. CONCLUSIONS: Findings suggest that the impacts of ED reconfiguration on regional level ED trolley trends were either non-significant or caused a short-term shock which converged on the pre-reconfiguration trend over the following 12 months. However, the North-East is identified as an exception due to increased pressures in one regional hospital, which caused a change in trend beyond the 12-month post reconfiguration.

Variation in resource allocation in urgent and emergency Care Systems in Ireland.

BACKGROUND: A key challenge for most systems is how to provide effective access to urgent and emergency care across rural and urban populations. Tensions about the placement and scope of hospital emergency services are longstanding in Irish political life and there has been recent reform to centralise hospital services in some regions. The focus of this paper is a system approach to examine the geographic variation in resourcing and utilisation of such care across GP practices, out-of-hours care, ambulance services, Emergency Departments and Local Injury Units in Ireland. METHODS: We used a cross-sectional study design to evaluate variation in resource allocation by aggregating geographic funding to various elements of the urgent and emergency care system and assessing patterns in hospital resource utilisation across the population. Expenditure, staffing, access and activity data were gathered from government sources, individual facilities and service providers, health professional bodies, private firms and central statistics. Data on costs and activity in 2014 are collated and presented at both county and regional levels. Analyses focus on resources spent on urgent and emergency care across geographic areas, the role of population concentration in allocation, the relationship between pre-hospital spending and in-hospital spending, and the utilisation of hospital-based emergency care resources by residents of each county. RESULTS: An array of funding mechanisms exists, resulting in a fragmented approach to the resourcing of urgent and emergency care. There are large differences in spending per capita at the county-level, ranging from between €50 and €200 per capita; however, these are less pronounced regionally. Distribution of hospital emergency care resources is highly skewed to the North East of the country, and away from the recently reconfigured South and Mid-West regions. CONCLUSIONS: This analysis advances the traditional approach of evaluating individual services or hospital resourcing. There are notable differences in utilisation of hospital-based emergency care resources at the regional level, indicating that populations within those regions which have been reconfigured have lower utilisation of hospital resources. There is a clear case for more integration in decision-making around funding and consideration of key principles, such as equity, to guide that process.

Acute hospital reconfiguration and self-harm presentations: a before-and-after study.

BACKGROUND: The evidence for improved patient outcomes following acute hospital reconfiguration is limited. AIMS: We assessed the impact of the reconfiguration of acute services within a hospital group in terms of the number and clinical management of self-harm presentations. METHODS: The study was conducted across the three Mid-Western regional hospitals in Ireland during 2004-2014. Reconfiguration in April 2009 involved two hospitals reducing the operation of their emergency departments (EDs) from 24 to 12 h. We used Poisson regression analysis of data from the National Self-Harm Registry Ireland to assess change in the hospital burden and clinical management of self-harm associated with the reconfiguration. RESULTS: We observed that the cumulative decrease in self-harm presentations at the two reconfigured hospitals was of a similar magnitude to the increase observed at the larger hospital. Despite this large increase in presentations, there was only a small increase in admissions. Reconfiguration of hospital services was also associated with changes in the provision of assessments for self-harm patients. CONCLUSIONS: There is evidence to suggest that acute hospital reconfiguration of hospital services impacts on patterns of patient flow. Findings have implications for those implementing reconfiguration of acute services.

Drivers of potentially avoidable emergency admissions in Ireland: an ecological analysis.

BACKGROUND: Many emergency admissions are deemed to be potentially avoidable in a well-performing health system. OBJECTIVE: To measure the impact of population and health system factors on county-level variation in potentially avoidable emergency admissions in Ireland over the period 2014-2016. METHODS: Admissions data were used to calculate 2014-2016 age-adjusted emergency admission rates for selected conditions by county of residence. Negative binomial regression was used to identify which a priori factors were significantly associated with emergency admissions for these conditions and whether these factors were also associated with total/other emergency admissions. Standardised incidence rate ratios (IRRs) associated with a 1 SD change in risk factors were reported. RESULTS: Nationally, potentially avoidable emergency admissions for the period 2014-2016 (266 395) accounted for 22% of all emergency admissions. Of the population factors, a 1 SD change in the county-level unemployment rate was associated with a 24% higher rate of potentially avoidable emergency admissions (IRR: 1.24; 95% CI 1.04 to 1.41). Significant health system factors included emergency admissions with length of stay equal to 1 day (IRR: 1.20; 95% CI 1.11 to 1.30) and private health insurance coverage (IRR: 0.92; 95% CI 0.89 to 0.96). The full model accounted for 50% of unexplained variation in potentially avoidable emergency admissions in each county. Similar results were found across total/other emergency admissions. CONCLUSION: The results suggest potentially avoidable emergency admissions and total/other emergency admissions are primarily driven by socioeconomic conditions, hospital admission policy and private health insurance coverage. The distinction between potentially avoidable and all other emergency admissions may not be as useful as previously believed when attempting to identify the causes of regional variation in emergency admission rates.

Case fatality ratios for serious emergency conditions in the Republic of Ireland: a longitudinal investigation of trends over the period 2002-2014 using joinpoint analysis.

BACKGROUND: In the past decade, the Republic of Ireland has undertaken significant reconfiguration programmes to improve emergency services. During this time the public healthcare system experienced a large real decrease in resources. This study assesses national and regional population outcomes over the period 2002-2014, and whether changes coincide with system reconfiguration and the financial restrictions imposed by the 2008 recession. METHODS: Case fatality ratios (CFRs) were constructed for emergency conditions for 2002-2014. Total emergency conditions and individual condition trends were analysed nationally using joinpoint analysis. National results informed the investigation of trends at a regional and county level using an inverse standard error weighted generalised linear model with a log link to construct funnel plots. County-level CFRs were compared for the first and last 3 years of the period to further investigate the changes to county results over the 13 year period, specifically in comparison to the national-level CFR. RESULTS: Nationally, there was an annual fall in CFRs (2.1%). The decline was faster from 2002 to 2007 (annual percentage change = - 3.4; 95% CI-4.4, - 2.4), compared to 2007-2014 (annual percentage change = - 1.2; 95% CI -1.9, - 0.5). The South-East had a lower rate of decrease and the West had a higher rate. Cross sectional analysis of two periods (2002-2004 and 2012-2014) showed high consistency in the counties performance relative to the national CFR in both periods. CONCLUSION: Change in the national trend coincided with the onset of economic stress on the public health system. Attributing the decline in CFR improvement to economic factors is weakened by the uneven nature of the trend change. No distinct pattern of change was identified among regions which underwent substantial reconfiguration of emergency services.

Ageing, health status and coverage rate effects on community prescription costs in Ireland.

AIMS AND OBJECTIVES: This paper aims to explore how GMS drug costs depend on age, gender, income, health status, community drug scheme coverage rates and whether they display significant differences across regions of Ireland. We also aim to find out whether the GMS drug costs of high and low income cohorts respond similarly to changes in their health status. The paper projects GMS drug costs in 2026 and examines the separate cost of population ageing and population growth over the period. We also aim to simulate the estimated model to show how much giving free prescription drugs to all persons aged 'under 5' would add to 2026 GMS drug costs, and also how much giving universal GMS coverage to all persons in 2026 would add to 2026 GMS drug costs. METHODS: We construct a multivariate logistic regression model of GMS community drug costs in Ireland. We progress the methodology used in earlier studies by explicitly modelling how regional incomes and regional health status interact in determining GMS drug costs in Ireland. An age cohort and region breakdown of the simulated GMS drug costs, of both projected demographic trends and public policy measures that have been adopted or are under consideration, are also investigated. FINDINGS: We find that GMS drug costs depend on age-but not gender-on income, health status, community drug scheme coverage rates, and they are significantly lower for all age cohorts in Donegal and the North West region. The GMS drug costs of high income cohorts tend to increase as their health status improves, whereas they tend to decrease as the health status of low income cohorts improves. A uniform 1% gain in health status has little impact on total GMS prescribing costs. Similarly, if the health status of all Irish regions improved to match that of the East region in 2010 it would only have reduced public prescription costs by around 32 € million of the 1.8 € billion GMS drugs bill. We find that giving free prescription drugs to all persons aged 'under 5' in 2010 would have only a minor impact on 2010 GMS drug costs, whereas giving universal GMS coverage to all persons would have doubled public prescription costs from 1.8 € billion to circa 3.6 € billion.