GP supply, deprivation and emergency admission to hospital for COPD and diabetes complications in counties across Ireland: an exploratory analysis

The impact of social deprivation on development and progression of diabetic kidney disease

Introduction

Diabetes is one of the leading causes of chronic kidney disease. Social deprivation is recognised as a risk factor for complications of diabetes, including diabetic kidney disease. The effect of deprivation on rate of decline in renal function has not been explored in the Irish Health System to date. The objective of this study is to explore the association between social deprivation and the development/progression of diabetic kidney disease in a cohort of adults living with diabetes in Ireland.

Methods

This is a retrospective cohort study using an existing dataset of people living with diabetes who attended the diabetes centre at University Hospital Galway from 2012 to 2016. The variables included in this dataset include demographic variables, type and duration of diabetes, clinical variables such as medication use, blood pressure and BMI and laboratory data including creatinine, urine albumin to creatinine to ratio, haemoglobin A1c and lipids. This dataset will be updated with laboratory data until January 2023. Individual's addresses will be used to calculate deprivation indices using the Pobal Haase Pratschke (HP) deprivation index. Rate of renal function decline will be calculated using linear mixed-effect models. The relationship between deprivation and renal function will be assessed using linear regression (absolute and relative rate of renal function decline based on eGFR) and logistic regression models (rapid vs. non-rapid decline).

Aging-friendly cities: Investigating the effects of street usage on the psychological satisfaction of older adults in megacities

The psychological satisfaction of older adults is an important evaluation standard for the construction of elder-friendly cities. Meanwhile, as important space carriers carrying the travel activities and social participation of older adults, streets are also of great significance to improve psychological wellbeing. However, few studies pay attention to the street usage of aging population, especially in the context of megacities. Moreover, the previous literature rarely distinguishes the types of streets. Thus, employing a mixed approach, we investigate the relationships between street usage and psychological satisfaction for older adults. Based on the survey in Shanghai, we find that a clear role for different usage indicators in the determination of subjective psychological satisfaction of older adults. More specially, the street usage and psychological satisfaction for older adults are strongly correlated, especially for living streets. Psychological satisfaction for older adults in different types of streets is not always positively related to the positive perception of street usage. The psychological satisfaction of different streets depends on different factors. By focusing on the case of a megacity, our study emphasizes the differences between different types of streets, which will be conducive to the proposal of practical planning policies. In addition, employing mixed research methods not only explains how different street usage affects the psychological welfare of older adults on a macro scale, but also emphasizes the inner world of respondents.

Area-level deprivation and geographic factors influencing utilisation of General Practitioner services

Inequities in access to General Practitioner (GP) services are a key policy concern given the role of GPs as gatekeepers to secondary care services. Geographic or area-level factors, including local deprivation and supply of healthcare providers, are important elements of access. In considering how area-level deprivation relates to GP utilisation, two potentially opposing factors may be important. The supply of healthcare services tends to be lower in areas of higher deprivation. However, poorer health status among individuals in deprived areas suggests greater need for healthcare. To explore the relationship of area-level deprivation to healthcare utilisation, we use data from the Healthy Ireland survey, which provided a sample of 6326 respondents to face-to-face interviews.

A u-shaped relationship between GP supply and area-level deprivation is observed in the data. Modelling reveals that residing in more deprived communities has a strong, statistically significant positive association with having seen a GP within the last four weeks, controlling for individual characteristics and GP supply. All else equal, residing in an area ranked in the most deprived quintile increases the odds of a respondent having visited the GP in four weeks by 1.43 (95% Confidence Interval: 1.15–1.78), compared to the least deprived quintile (p-value< 0.001). The findings indicate that the level of deprivation in an area may be relevant to decisions about how to allocate primary care resources.

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GP utilisation is higher amongst those in more deprived areas.

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GP supply is lower in middle income areas compared to deprived or affluent areas.

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Differences in GP supply and GP utilisation occur across deprivation quintiles.

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Other geographic factors are not found to be significant in determining GP utilisation.

Geographical variation of emergency hospital admissions for ambulatory care sensitive conditions in older adults in Ireland 2012-2016

OBJECTIVE

Ambulatory care sensitive (ACS) conditions are those for which intensified primary care management could potentially prevent emergency admissions. This study aimed to quantify geographical variation in emergency admissions with ACS conditions in older adults and explore factors influencing variation.

DESIGN

Repeated cross-sectional study.

SETTING

34 public hospitals in the Ireland.

PARTICIPANTS

Adults aged ≥65 years hospitalised for seven ACS conditions between 2012 and 2016 (chronic obstructive pulmonary disease, congestive heart failure (CHF), diabetes, angina, pyelonephritis/urinary tract infections (UTIs), dehydration and pneumonia).

PRIMARY OUTCOME MEASURE

Age and sex standardised emergency admission rates (SARs) per 1000 older adults.

ANALYSIS

Age and sex SARs were calculated for 21 geographical areas. Extremal quotients and systematic components of variance (SCV) quantified variation. Spatial regression analyses was conducted for SARs with unemployment, urban population proportion, hospital turnover, supply of general practitioners (GPs), and supply of hospital-based specialists as explanatory variables.

RESULTS

Over time, an increase in UTI/pyelonephritis SARs was seen while SARs for angina and CHF decreased. Geographic variation was moderate overall and high for dehydration and angina (SCV=11.7-50.0). For all conditions combined, multivariable analysis showed lower urban population (adjusted coefficient: -2.2 (-3.4 to -0.9, p<0.01)), lower GP supply (adjusted coefficient: -5.5 (-8.2 to -2.9, p<0.01)) and higher geriatrician supply (adjusted coefficient: 3.7 (0.5 to 6.9, p=0.02)) were associated with higher SARs.

CONCLUSIONS

Future research should evaluate methods of preventing admissions for ACS conditions among older adults, including how resources are allocated at a local level.

Cumulative social disadvantage and hospitalisations due to ambulatory care-sensitive conditions in Finland in 2011─2013: a register study

OBJECTIVES

To study the interplay between several indicators of social disadvantage and hospitalisations due to ambulatory care-sensitive conditions (ACSC) in 2011─2013. To evaluate whether the accumulation of preceding social disadvantage in one point of time or prolongation of social disadvantage had an effect on hospitalisations due to ACSCs. Four common indicators of disadvantage are examined: living alone, low level of education, poverty and unemployment.

DESIGN

A population-based register study.

SETTING

Nationwide individual-level register data on hospitalisations due to ACSCs for the years 2011-2013 and preceding data on social and socioeconomic factors for the years 2006─2010.

PARTICIPANTS

Finnish residents aged 45 or older on 1 January 2011.

OUTCOME MEASURE

Hospitalisations due to ACSCs in 2011-2013. The effect of accumulation of preceding disadvantage in one point of time and its prolongation on ACSCs was studied using modified Poisson regression.

RESULTS

People with preceding cumulative social disadvantage were more likely to be hospitalised due to ACSCs. The most hazardous combination was simultaneously living alone, low level of education and poverty among the middle-aged individuals (aged 45-64 years) and the elderly (over 64 years). Risk ratio (RR) of being hospitalised due to ACSC was 3.16 (95% CI 3.03-3.29) among middle-aged men and 3.54 (3.36-3.73) among middle-aged women compared with individuals without any of these risk factors when controlling for age and residential area. For the elderly, the RR was 1.61 (1.57-1.66) among men and 1.69 (1.64-1.74) among women.

CONCLUSIONS

To improve social equity in healthcare, it is important to recognise not only patients with cumulative disadvantage but also-as this study shows-patients with particular combinations of disadvantage who may be more susceptible. The identification of these vulnerable patient groups is also necessary to reduce the use of more expensive treatment in specialised healthcare.

Regional variation of avoidable hospitalisations in a universal health care system: a register-based cohort study from Finland 1996-2013

OBJECTIVES

A persistent finding in research concerning healthcare and hospital use in Western countries has been regional variation in the medical practices. The aim of the current study was to examine trends in the regional variation of avoidable hospitalisations, that is, hospitalisations due to conditions treatable in ambulatory care in Finland in 1996-2013 and the influence of different healthcare levels on them.

SETTING

Use of hospital inpatient care in 1996-2013 among the total population in Finland.

PARTICIPANTS

Altogether 1 931 012 hospital inpatient care episodes among all persons residing in Finland identified from administrative registers in Finland in 1996-2013 and alive in 1 January 1996.

OUTCOME MEASURES

We examined hospitalisations due to avoidable causes including vaccine-preventable hospitalisations, hospitalisations due to complications of chronic conditions and acute conditions treatable in ambulatory care. We calculated annual age-adjusted rates per 10 000 person-years. Multilevel models were used for studying time trends in regional variation.

RESULTS

There was a steep decline in avoidable hospitalisation rates during the study period. The decline occurred almost exclusively in hospitalisations due to chronic conditions, which diminished by about 60%. The overall correlation between hospital district intercepts and slopes in time was -0.46 (p<0.05) among men and -0.20 (ns) among women. Statistically highly significant diminishing variation was found in hospitalisations due to chronic conditions among both men (-0.90) and women (-0.91). The variation was mainly distributed to the hospital district level.

CONCLUSIONS

The results suggest that chronic conditions are managed better in primary care in the whole country than before. Further research is needed on whether this is the case or whether this has more to do with supply of hospital care.

Prescriber Variation in Relation to Prescribing Trends within the Preferred Drugs Initiative in Ireland (2012-2015): An Interrupted Time-Series Study Using Latent Curve Models

OBJECTIVES

To examine the impact of the Preferred Drugs Initiative (PDI), an Irish health policy aimed at reducing prescribing variation.

DESIGN

Interrupted time series spanning 2012 to 2015.

SETTING

Health Service Executive pharmacy claims data for General Medical Services (GMS) patients, approximately 40% of the Irish population.

PARTICIPANTS

Prescribers issuing preferred drug group items to GMS adults before and after PDI guidelines.

PRIMARY OUTCOME

The percentage coverage of PDI medications within each drug class per calendar quarter per prescriber.

METHODS

Latent curve models with structured residuals (LCM-SRs) were used to model coverage of the preferred drugs over time. The number of GMS adults receiving medication and the percentage who were 65 years and older at the start of the study were included as covariates.

RESULTS

In the quarter following PDI guidelines, coverage of the preferred drugs increased most in absolute terms for proton pump inhibitors (PPIs) (1.50% [SE 0.15], P < 0.001) and selective and norepinephrine reuptake inhibitors (SNRIs) (1.17% [SE 0.26], P < 0.001). Variation between prescribers remained relatively unchanged and increased for urology medications. Prescribers who increased coverage of the preferred PPI also increased coverage of the preferred statin immediately following guidelines (correlation 0.47 [SE 0.13], P < 0.001). Where guidelines were disseminated simultaneously, coverage of one preferred drug did not significantly predict coverage of the other preferred drug in the next calendar quarter. Prescribing of preferred drugs was not moderated by prescriber-level factors.

CONCLUSIONS

Modest changes in prescribing of the preferred drugs have been observed over the course of the PDI. However, the guidelines have had little impact in reducing variation between prescribers. Further strategies may be necessary to reduce variation in clinical practice and enhance patient care.

A spotlight on chronic patients' hospitalization: Some exploratory insights

All over the world, health care systems are experiencing the challenges raised by the epidemiological transition from the prevalence of acute diseases to the preponderance of chronic illnesses. However, the traditional design for acute conditions of most of health care systems – which triggers a hospital-centric culture – is not consistent with the special health needs of people suffering from long-term conditions. In fact, the access of chronic patients to hospital services has been variously contested to be inappropriate and ineffective to meet their demand for care. Sticking to these considerations, this study investigates the factors that influence the occurrence of hospitalization and the length of hospital stays of a representative sample of Italian chronic patients. Secondary data were collected from the European Health Interview Survey. The sample consisted of 8,127 people. A probit model and a multiple regression analysis were performed to obtain some evidence on the regressors of Italian patients’ access to hospital care. Among others, gender, work condition, health services’ use and health status were found to have a role in influencing chronic patients’ behaviors. The study findings prompted the formulation of several avenues for future developments, which provide some food for thought to policy makers and inspire an agenda for further research.

An investigation of the effect of accessibility to General Practitioner services on healthcare utilisation among older people

Equity in access to healthcare services is regarded as an important policy goal in the organisation of modern healthcare systems. Physical accessibility to healthcare services is recognised as a key component of access. Older people are more frequent and intensive users of healthcare, but reduced mobility and poorer access to transport may negatively influence patterns of utilisation. We investigate the extent to which supply-side factors in primary healthcare are associated with utilisation of General Practitioner (GP) services for over 50s in Ireland. We explore the effect of network distance on GP visits, and two novel access variables: an estimate of the number of addresses the nearest GP serves, and the number of providers within walking distance of a person's home. The results indicate that geographic accessibility to GP services does not in general explain differences in the utilisation of GP services in Ireland. However, we find that the effect of the number of GPs is significant for those who can exercise choice in selecting a GP, i.e., those without public health insurance. For these individuals, the number of GPs within walking distance exerts a positive and significant effect on the utilisation of GP 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.