Regional variation of potentially avoidable hospitalisations in Switzerland: an observational study
Gygli et al. BMC Health Services Research
(2021) 21:849
https://doi.org/10.1186/s12913-021-06876-5
RESEARCH
Open Access
Regional variation of potentially avoidable
hospitalisations in Switzerland: an
observational study
Niklaus Gygli1,2, Franziska Zúñiga1 and Michael Simon1,3*
Abstract
Background: Primary health care is subject to regional variation, which may be due to unequal and inefficient
distribution of services. One key measure of such variation are potentially avoidable hospitalisations, i.e.,
hospitalisations for conditions that could have been dealt with in situ by sufficient primary health care provision.
Particularly, potentially avoidable hospitalisations for ambulatory care-sensitive conditions (ACSCs) are a substantial
and growing burden for health care systems that require targeting in health care policy.
Aims: Using data from the Swiss Federal Statistical Office (SFSO) from 2017, we applied small area analysis to
visualize regional variation to comprehensively map potentially avoidable hospitalisations for five ACSCs from Swiss
nursing homes, home care organisations and the general population.
Methods: This retrospective observational study used data on all Swiss hospitalisations in 2017 to assess regional
variations of potentially avoidable hospitalisations for angina pectoris, congestive heart failure, chronic obstructive
pulmonary disease, diabetes complications and hypertension. We used small areas, utilisation-based hospital service
areas (HSAs), and administrative districts (Cantons) as geographic zones. The outcomes of interest were age and sex
standardised rates of potentially avoidable hospitalisations for ACSCs in adults (> 15 years). Our inferential analyses
used linear mixed models with Gaussian distribution.
Results: We identified 46,479 hospitalisations for ACSC, or 4.3% of all hospitalisations. Most of these occurred in the
elderly population for congestive heart failure and COPD. The median rate of potentially avoidable hospitalisation
for ACSC was 527 (IQR 432–620) per 100.000 inhabitants. We found substantial regional variation for HSAs and
administrative districts as well as disease-specific regional patterns.
Conclusions: Differences in continuity of care might be key drivers for regional variation of potentially avoidable
hospitalisations for ACSCs. These results provide a new perspective on the functioning of primary care structures in
Switzerland and call for novel approaches in effective primary care delivery.
Keywords: Potentially avoidable hospitalisations, Ambulatory care sensitive conditions, Switzerland, Primary health
care, Regional variation
* Correspondence:
1
Faculty of Medicine, Department of Public Health, Institute of Nursing
Science, University of Basel, Bernoullistr. 28, CH-4056 Basel, Switzerland
3
Nursing and Midwifery Research Unit, Department of Nursing, University
Hospital Bern, Freiburgstrasse 18, CH-3010 Bern, Switzerland
Full list of author information is available at the end of the article
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Gygli et al. BMC Health Services Research
(2021) 21:849
Background
Primary health care is vital to population health. However, regional variability of its quality and accessibility
may lead to unequal and inefficient distribution of services. One key measure of this variability is the rate of
avoidable hospitalizations, i.e., those for conditions that
could have been treated with appropriate chronic disease
management in place in primary health care [1–3]. In
addition to incurring considerable extra costs, treating
these conditions in hospital disrupts the affected patients’ normal care provision [4, 5].
Ambulatory care-sensitive conditions (ACSC) support
the measurement and comparison of rates of potentially
avoidable hospitalisations. These were originally defined
by international organisations such as the Organisation
for Economic Co-operation and Development (OECD)
and further developed by scientific experts [3]. Potentially avoidable hospitalisations for ACSCs are most
common in the elderly population and increase with age
[6, 7]. Chronic conditions account for up to 60% of total
potentially avoidable hospitalisations and their respective
costs [6, 7]. Additionally, ACSCs account for up to 48%
of annual emergency department visits and 20% of overall hospitalisations [7–10]. The total cost of potentially
avoidable hospitalisations for ACSCs are a growing economic burden for health care systems [6, 7, 11]. Approximately 42% of hospitalized nursing home residents
are referred for ACSCs, thus generating unnecessary
costs of up to 102 million Swiss francs annually in
Switzerland [12]. Furthermore, there is a socio-economic
gradient, with lower ACSC rates in higher income regions [13] However, it is unclear how different settings
and respective primary healthcare providers handle
ACSC. Therefore, especially for the elderly population, it
is vital not only to assess total rates of avoidable ACSCbased hospitalisations, but also to differentiate between
the involved settings.
We identified five conditions that are both commonly
used in health services research literature and highly
prevalent amongst chronically ill populations [1–3, 5–7,
10]. In descending order of occurrence, these are: congestive heart failure, chronic obstructive pulmonary disease (COPD), diabetes complications, hypertension and
angina pectoris.
A large proportion of hospitalisations for these conditions are deemed preventable, i.e., they can normally be
positively influenced via effective chronic disease management by primary care providers [10].
Switzerland offers a unique opportunity to explore regional variations in potentially avoidable hospitalisations.
Because of its status as a confederation, Swiss health law
includes relatively high levels of regional autonomy,
allowing regions to establish their own care structures
and approaches [14]. Mandatory health insurance with
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