Avoidable Hospitalizations in Persons with Dementia: a Population-Wide Descriptive Study (2000–2015)

Background Whether avoidable hospitalizations in community-dwelling persons with dementia have decreased during primary care reforms is unknown. Methods We described the prevalence and trends in avoidable hos­pitalizations in population-based repeated yearly cohorts of 192,144 community-dwelling persons with incident dementia (Quebec, 2000–2015) in the context of a province-wide pri­mary care reform, using the provincial health administrative database. Results Trends in both types of Ambulatory Care Sensitive Condition (ACSC) hospitalization (general and older population) and 30-day readmission rates remained constant with average rates per 100 person-years: 20.5 (19.9–21.1), 31.7 (31.0–32.4), 20.6 (20.1–21.2), respectively. Rates of delayed hospital discharge (i.e., alternate level of care (ALC) hospitalizations) decreased from 23.8 (21.1–26.9) to 17.9 (16.1–20.1) (relative change -24.6%). Conclusions These figures shed light on the importance of the phenomenon, its lack of improvement for most outcomes over the years, and the need to develop evidence-based policies to prevent avoidable hospitalizations in this vulnerable population.

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.

Using geographic variation in unplanned ambulatory care sensitive condition admission rates to identify commissioning priorities: an analysis of routine data from England

Objectives To use geographic variation in unplanned ambulatory care sensitive condition admission rates to identify the clinical areas and patient subgroups where there is greatest potential to prevent admissions and improve the quality and efficiency of care. Methods We used English Hospital Episode Statistics data from 2011/2012 to describe the characteristics of patients admitted for ambulatory care sensitive condition care and estimated geographic variation in unplanned admission rates. We contrasted geographic variation across admissions with different lengths of stay which we used as a proxy for clinical severity. We estimated the number of bed days that could be saved under several scenarios. Results There were 1.8 million ambulatory care sensitive condition admissions during 2011/2012. Substantial geographic variation in ambulatory care sensitive condition admission rates was commonplace but mental health care and short-stay (<2 days) admissions were particularly variable. Reducing rates in the highest use areas could lead to savings of between 0.4 and 2.8 million bed days annually. Conclusions Widespread geographic variations in admission rates for conditions where admission is potentially avoidable should concern commissioners and could be symptomatic of inefficient care. Further work to explore the causes of these differences is required and should focus on mental health and short-stay admissions.