The Causal Effect of Community Hospitals on General Hospital Admissions. Evaluation of a Natural Experiment Using Register Data

Int J Integr Care. 2023 May 3;23(2):10. doi: 10.5334/ijic.6515. eCollection 2023 Apr-Jun.

Abstract

Background: To reduce overall healthcare costs, several countries have attempted to shift services from specialist to primary care. This was also the main strategy of the Coordination Reform introduced in Norway in 2012. An important part of the reform was the introduction of Municipal Acute Wards (MAWs), a type of community hospital aimed at reducing admissions to general hospitals. The main objective of this paper is to investigate whether the implementation of MAWs had a causal effect on hospital admissions.

Methods: Monthly admission rates in total and by age groups for patients admitted with acute or elective conditions at internal medicine or surgical departments were analyzed using panel data regression techniques. We identified causal effects by exploiting the sequential roll out of the MAWs within fixed effect analyses. Our data covered all municipalities from start of 2010 until the end of 2017.

Results: The sequential implementation of the MAWs started during the summer of 2012. By the beginning of 2016 close to all municipalities had an operative MAW. The introduction of MAWs significantly reduced acute hospital admissions. The effect was strongest for patients ≥80 years admitted acutely to internal medicine departments. The effects were even stronger if the MAW had a physician on site 24/7 or was located close to a local emergency center.

Conclusion: Our findings suggest that this type of intermediate care unit is a viable option to alleviate the burden on hospitals by reducing acute secondary care admission volumes.

Keywords: community hospital; cottage hospital; health system; hospital services; integrated care; local emergency beds; primary care.

Grants and funding

The paper is funded by the Norwegian Research Council (NRC) through the Norwegian Centre for Health Services Research (NORCHER), NRC-number 296114.