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

Long-term care use, hospitalizations and mortality during COVID-19 in Finland and Sweden: A nationwide register-based study in 2020

AIM

To describe long-term care (LTC) use in Finland and Sweden in 2020, by reporting residential entry and exit patterns including hospital admissions and mortality, compared with the 2018-2019 period and community-living individuals.

METHODS

From national registers in Finland and Sweden, all individuals 70+ were included. Using the Finnish and Swedish study populations in January 2018 as the standard population, we reported changes in sex- and age-standardized monthly rates of entry into and exit from LTC facilities, mortality and hospital admission among LTC residents and community-living individuals in 2020.

RESULTS

Around 850,000 Finns and 1.4 million Swedes 70+ were included. LTC use decreased in both countries from 2018 to 2020. In the first wave (March/April 2020), Finland experienced a decrease in LTC entry rates and an increase in LTC exit rates, both more marked than Sweden. This was largely due to short-term movements. Mortality rates peaked in April and December 2020 for LTC residents in Finland, while mortality peaked for both community-living individuals and LTC residents in Sweden. A decrease in hospital admissions from LTC facilities occurred in April 2020 and was less marked in Finland versus Sweden.

CONCLUSIONS

During the first wave of the pandemic mortality was consistently higher in Sweden. We also found a larger decrease in LTC use and, among LTC residents, a smaller decrease in hospital admissions in Finland than in Sweden. This study calls for assessing the health consequences of the differences observed between these two Scandinavian countries as part of the lessons from the COVID-19 pandemic.

Performing up to Nordic principles? Geographic and socioeconomic equity in ambulatory care sensitive conditions among older adults in capital areas of Denmark, Finland and Sweden in 2000-2015

BACKGROUND

Denmark, Finland and Sweden pursue equity in health for their citizens through universal health care. However, it is unclear if these services reach the older adult population equally across different socioeconomic positions or living areas. Thus, we assessed geographic and socioeconomic equity in primary health care (PHC) performance among the older adults in the capital areas of Denmark (Copenhagen), Finland (Helsinki) and Sweden (Stockholm) in 2000-2015. Hospitalisations for ambulatory care sensitive conditions (ACSC) were applied as a proxy for PHC performance.

METHODS

We acquired individual level ACSCs for those aged ≥ 45 in 2000-2015 from national hospitalisation registers. To identify whether the disparities varied by age, we applied three age groups (those aged 45-64, 65-75 and ≥ 75). Socioeconomic disparities in ACSCs were described with incidence rate ratios (IRR) and annual rates by education, income and living-alone; and then analysed with biennial concentration indices by income. Geographic disparities were described with biennial ACSC rates by small areas and analysed with two-level Poisson multilevel models. These models provided small area estimates of IRRs of ACSCs in 2000 and their slopes for development over time, between which Pearson correlations were calculated within each capital area. Finally, these models were adjusted for income to distinguish between geographic and socioeconomic disparities.

RESULTS

Copenhagen had the highest IRR of ACSCs among those aged 45-64, and Helsinki among those aged ≥ 75. Over time IRRs decreased among those aged ≥ 45, but only in Helsinki among those aged ≥ 75. All concentration indices slightly favoured the affluent population but in Stockholm were mainly non-significant. Among those aged ≥ 75, Pearson correlations were low in Copenhagen (-0.14; p = 0.424) but high in both Helsinki (-0.74; < 0.001) and Stockholm (-0.62; < 0.001) - with only little change when adjusted for income. Among those aged ≥ 45 the respective correlations were rather similar, except for a strong correlation in Copenhagen (-0.51, 0.001) after income adjustment.

CONCLUSIONS

While socioeconomic disparities in PHC performance persisted among older adults in the three Nordic capital areas, geographic disparities narrowed in both Helsinki and Stockholm but persisted in Copenhagen. Our findings suggest that the Danish PHC incorporated the negative effects of socio-economic segregation to a lesser degree.

Understanding geographical variations in health system performance: a population-based study on preventable childhood hospitalisations

OBJECTIVE

To investigate interdistrict variations in childhood ambulatory sensitive hospitalisation (ASH) over the years.

DESIGN

Observational population-based study over 2008-2018 using the Primary Health Organisation Enrolment Collection (PHO) and the National Minimum Dataset hospital events databases.

SETTING

New Zealand primary and secondary care.

PARTICIPANTS

All children aged 0-4 years enrolled in the PHO Enrolment Collection from 2008 to 2018.

MAIN OUTCOME MEASURE

ASH.

RESULTS

Only 1.4% of the variability in the risk of having childhood ASH (intracluster correlation coefficient=0.014) is explained at the level of District Health Board (DHB), with the median OR of 1.23. No consistent time trend was observed for the adjusted childhood ASH at the national level, but the DHBs demonstrated different trajectories over the years. Ethnicity (being a Pacific child) followed by deprivation demonstrated stronger relationships with childhood ASH than the geography and the health system input variables.

CONCLUSION

The variation in childhood ASH is explained only minimal at the DHB level. The sociodemographic variables also only partly explained the variations. Unlike the general ASH measure, the childhood ASH used in this analysis provides insights into the acute conditions sensitive to primary care services. However, further information would be required to conclude this as the DHB-level performance variations.

Avoidable Hospitalization Trends From Ambulatory Care-Sensitive Conditions in the Public Health System in México

OBJECTIVES

To estimate and identify the variations in rates of Avoidable Hospitalization for Ambulatory Care Sensitive Conditions (AH-ACSC) in public institutions of the Mexican health system during the period 2010-2017.

METHODS

Secondary analysis of the hospital discharge database of the Ministry of Health (MoH) from 2010 to 2017. AH for ACSC was calculated by age group and sex per 100,000. Variations per year between institutions were calculated with the extreme quotient (EQ), coefficient of variation (CV) and systematic component of variance (SCV). Adjusted AH rates were calculated by group of causes (acute, chronic and preventable by vaccination). Adjusted AH trend rates were analyzed by Join Point Regression.

RESULTS

For the period 2010-2017, the number of AH for ACSC decreased from 676,705 to 612,897, going from almost 13% to 10.7% of hospital discharges. There is consistency in terms of relative variance magnitude. But, with regards to SCV, the change remained constant, and in a second period of 2015-2017, high variation was observed by SCV ≥ 3. All-cause AH is diminishing in all institutions. AH rates for diabetes are the highest, but like other chronic diseases, there was a decline in the period from 2010 to 2017. The relative reduction varied from 15% for heart failure to 38% for complications from diabetes or hypertension, to 75% for angina.

CONCLUSIONS

AH for ACSC is an indirect indicator of quality and access to first-level care. Variations by institutions are observed. This variation in CV and SCV across subsystems and states may be due to inequities in the provision of services. The factors that contribute to the burden of AH for ACSC in the Mexican Health System require detailed analysis.

Low-value injury admissions in an integrated Canadian trauma system: A multicentre cohort study

BACKGROUND

Injury represents 260 000 hospitalisations and $27 billion in healthcare costs each year in Canada. Evidence suggests that there is significant variation in the prevalence of hospital admissions among emergency department presentations between countries and providers, but we lack data specific to injury admissions. We aimed to estimate the prevalence of potentially low-value injury admissions following injury in a Canadian provincial trauma system, identify diagnostic groups contributing most to low-value admissions and assess inter-hospital variation.

METHODS

We conducted a retrospective multicentre cohort study based on all injury admissions in the Québec trauma system (2013-2018). Using literature and expert consultation, we developed criteria to identify potentially low-value injury admissions. We used a multilevel logistic regression model to evaluate inter-hospital variation in the prevalence of low-value injury admissions with intraclass correlation coefficients (ICC). We stratified our analyses by age (1-15; 16-64; 65-74; 75+ years).

RESULTS

The prevalence of low-value injury admissions was 16% (n = 19 163) among all patients, 26% (2136) in children, 11% (4695) in young adults and 19% (12 345) in older adults. Diagnostic groups contributing most to low-value admissions were mild traumatic brain injury in children (48% of low-value paediatric injury admissions; n = 922), superficial injuries (14%, n = 660) or minor spinal injuries (14%, n = 634) in adults aged 16-64 and superficial injuries in adults aged 65+ (22%, n = 2771). We observed strong inter-hospital variation in the prevalence of low-value injury admissions (ICC = 37%).

CONCLUSION

One out of six hospital admissions following injury may be of low value. Children with mild traumatic brain injury and adults with superficial injuries could be good targets for future research efforts seeking to reduce healthcare services overuse. Inter-hospital variation indicates there may be an opportunity to reduce low-value injury admissions with appropriate interventions targeting modifications in care processes.

Predicting Future Geographic Hotspots of Potentially Preventable Hospitalisations Using All Subset Model Selection and Repeated K-Fold Cross-Validation

Long-term future prediction of geographic areas with high rates of potentially preventable hospitalisations (PPHs) among residents, or "hotspots", is critical to ensure the effective location of place-based health service interventions. This is because such interventions are typically expensive and take time to develop, implement, and take effect, and hotspots often regress to the mean. Using spatially aggregated, longitudinal administrative health data, we introduce a method to make such predictions. The proposed method combines all subset model selection with a novel formulation of repeated k-fold cross-validation in developing optimal models. We illustrate its application predicting three-year future hotspots for four PPHs in an Australian context: type II diabetes mellitus, heart failure, chronic obstructive pulmonary disease, and "high risk foot". In these examples, optimal models are selected through maximising positive predictive value while maintaining sensitivity above a user-specified minimum threshold. We compare the model's performance to that of two alternative methods commonly used in practice, i.e., prediction of future hotspots based on either: (i) current hotspots, or (ii) past persistent hotspots. In doing so, we demonstrate favourable performance of our method, including with respect to its ability to flexibly optimise various different metrics. Accordingly, we suggest that our method might effectively be used to assist health planners predict excess future demand of health services and prioritise placement of interventions. Furthermore, it could be used to predict future hotspots of non-health events, e.g., in criminology.

Partnership between Primary Health and Social Care Services in the Long-Term Care of Older People with Dementia: A Vignette Study

Dementia is considered to be a significant cause of disability and dependency for older people worldwide and it raises difficulties in providing adequate formal and informal assistance. Research on the experience of long-term care (LTC)services for older people with dementia is scarce in Eastern European countries. This study aimed to understand the system of care for older people with dementia from the perspective of health and social care workers providing LTC services in Lithuania. A total of 72 primary health care and social care professionals from public and private institutions in Kaunas city participated in this study. One-to-one interviews were conducted with family physicians, community nurses, psychiatrists, psychiatric nurses, and social workers. A vignette situation of 2 fictitious patients with dementia and their informal caregiver was discussed during the interviews. Data were analyzed using thematic analysis by induction approach. The data revealed 2 main themes: LTC provision trajectory, and three-dimensional relationship perception in realization of LTC activities. LTC provision trajectory reflected activities performed as a response to the described situation embracing formal procedures for the endorsement of LTC needs as well as the range of LTC services. The three-dimensional perception of relationships in LTC services' implementation reflected the participants' personal approach toward LTC, relationship with different specialists, and the informal caregiver. Our study revealed the potential of complex measures that could be instrumental for the refinement of the caregiving process. First, a change in the additional care requirements endorsement logic is needed, shifting focus from medical diagnosis to functional abilities assessment. Second, to establish clear procedures for formal cooperation between the health and social care sectors in the trajectory of LTC service provision. Finally, to find an adequate balance between LTC and institutional care by creating a more comprehensive range of LTC services. A more consistent and coordinated delivery of services by both health and social care sectors seems to be an untapped resource for the improvement of the LTC potential.

Individual and Area-level Factors Contributing to the Geographic Variation in Ambulatory Care Sensitive Conditions in Finland: A Register-based Study

BACKGROUND

Measuring primary health care (PHC) performance through hospitalizations for ambulatory care sensitive conditions (ACSCs) remains controversial-recent cross-sectional research claims that its geographic variation associates more with individual socioeconomic position (SEP) and health status than PHC supply.

OBJECTIVES

To clarify the usage of ACSCs as a PHC performance indicator by quantifying how disease burden, both PHC and hospital supply and spatial access contribute over time to geographic variation in Finland when individual SEP and comorbidities were adjusted for.

METHODS

The Finnish Care Register for Health Care provided hospitalizations for ACSCs (divided further into subgroups of acute, chronic, and vaccine-preventable causes) in 2011-2017. With 3-level nested multilevel Poisson models-individuals, PHC authorities, and hospital authorities-we estimated the proportion of the variance in ACSCs explained by selected factors at 3 time periods.

RESULTS

In age-adjusted and sex-adjusted analysis of total ACSCs the variances between hospital authorities was nearly twice that between PHC authorities. Individual SEP and comorbidities explained 19%-30% of the variance between PHC authorities and 25%-36% between hospital authorities; and area-level disease burden and arrangement and usage of hospital care a further 14%-16% and 32%-33%-evening out the unexplained variances between PHC and hospital authorities.

CONCLUSIONS

Alongside individual factors, areas' disease burden and factors related to hospital care explained the excess variances in ACSCs captured by hospital authorities. Our consistent findings over time suggest that the local strain on health care and the regional arrangement of hospital services affect ACSCs-necessitating caution when comparing areas' PHC performance through ACSCs.

Comparing data sources in estimating disability-adjusted life years (DALYs) for ischemic heart disease and chronic obstructive pulmonary disease in a cross-sectional setting in Finland

Background

The disability-adjusted life years (DALYs) summarize the burden of years of life lost (YLL) due to premature mortality and years lost due to disability (YLD). Our aim was to estimate the burden of ischemic heart disease (IHD) and chronic obstructive pulmonary disease (COPD) in Finland in 2012, and to examine, how much the YLD are affected by the use of different data sources.

Methods

The YLL were calculated using mortality data for the Finnish 25–74-year-old population in 2012. The YLD were calculated using data from the FINRISK 2012 survey (3041 males, 3383 females aged 25–74 years) and then directly adjusted to the corresponding population. Different administrative registers on 1) hospital inpatient episodes and specialist outpatient visits, 2) entitlement to specially reimbursed medicines, and 3) purchases of prescribed medicines were used for estimation of the YLD in addition to self-reported data. The DALYs were calculated without age-weighting.

Results

The YLL for IHD were 37.5 for males and 9.1 for females per 1000 population among 25–74-year-old people in Finland in 2012. The YLD for IHD varied markedly depending on which data sources were used. All data sources combined, the YLD per 1000 were 5.3 for males and 2.5 for females resulting in estimated 42.8 and 11.6 DALYs per 1000 due to IHD among males and females, respectively. For COPD, the YLL were 4.7 for males and 2.0 for females per 1000. Also for COPD, the YLD varied markedly depending on data sources used. The YLD per 1000 based on all data sources combined were 2.0 for males and 1.6 for females. As a result, estimated 6.7 and 3.6 DALYs per 1000 were due to COPD among males and females, respectively.

Conclusions

Especially for COPD, all mild disease cases could probably not be identified from the included registers. Thereby, including survey data improved the coverage of the data. The YLD of IHD and COPD varied markedly between the data sources used in the calculations. However, as YLL constituted a major part of DALYs for these diseases, the variation in YLD did not lead to substantial variation in DALYs.

Comparison and Impact of Four Different Methodologies for Identification of Ambulatory Care Sensitive Conditions

Ambulatory care sensitive conditions (ACSCs) are conditions for which hospitalizations are thought to be avoidable if effective and accessible primary health care is available. However, to define which conditions are considered ACSCs, there is a considerable number of different lists. Our aim was to compare the impact of using different ACSC lists considering mainland Portugal hospitalizations. A retrospective study with inpatient data from Portuguese public hospital discharges between 2011 and 2015 was conducted. Four ACSC list sources were considered: Agency for Healthcare Research and Quality (AHRQ), Canadian Institute for Health Information (CIHI), the Victorian Ambulatory Care Sensitive Conditions study, and Sarmento et al. Age-sex-adjusted rates of ACSCs were calculated by district (hospitalizations per 100,000 inhabitants). Spearman's rho, the intraclass correlation coefficient (ICC), the information-based measure of disagreement (IBMD), and Bland and Altman plots were computed. Results showed that by applying the four lists, different age-sex-adjusted rates are obtained. However, the lists that seemed to demonstrate greater agreement and consistency were the list proposed by Sarmento et al. compared to AHRQ and the AHRQ method compared to the Victorian list. It is important to state that we should compare comparable indicators and ACSC lists cannot be used interchangeably.

Mortality related to ambulatory care sensitive hospitalisations in Finland

Aims: Hospitalisations for ambulatory care sensitive conditions are used as an outcome indicator of access to and quality of primary care. Evidence on mortality related to these hospitalisations is scarce. This study analysed the effect of ambulatory care sensitive condition hospitalisations to subsequent mortality and time or geographical trends in the mortality indicating variations in ambulatory care sensitive conditions outcomes. Methods: This retrospective cohort study used individual-level data from national registers concerning ambulatory care sensitive condition hospitalisations. Crude and age-adjusted 365-day mortality rates for the first ambulatory care sensitive condition-related admission were calculated for vaccine-preventable, acute, and chronic ambulatory care sensitive conditions separately, and for three time periods stratified by gender. The mortality rates were also compared to mortality in the general Finnish population to assess the excess mortality related to ambulatory care sensitive condition hospitalisations. Results: The data comprised a total of 712,904 ambulatory care sensitive condition hospital admissions with the crude 365-day mortality rate of 14.2 per 100 person-years. Mortality for those hospitalised for vaccine-preventable conditions was approximately 10-fold compared to the general population and four-fold in chronic and acute conditions. Of the 10 most common ambulatory care sensitive conditions, bacterial pneumonia and influenza and congestive heart failure were associated with highest age-standardised mortality rates. Conclusions: Hospitalisations for ambulatory care sensitive conditions were shown to be associated with excess mortality in patients compared to the general population. Major differences in mortality were found between different types of ambulatory care sensitive condition admissions. There were also minor differences in mortality between hospital districts. These differences are important to consider when using preventable hospital admissions as an indicator of primary care performance.