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      How does regulating doctors’ admissions affect health expenditures? Evidence from Switzerland

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          Abstract

          Background

          Cost containment is a major issue for health policy, in many countries. Policymakers have used various measures to deal with this problem. In Switzerland, the national parliament and subnational (cantonal) governments have used moratoriums to limit the admission of specialist doctors and general practitioners.

          Methods

          We analyze the impact of these regulations on the number of doctors billing in free practice and on the health costs created by medical practice based on records from the data pool of Swiss health insurers (SASIS) from 2007 to 2018 using interrupted time series and difference-in-differences models.

          Results

          We demonstrate that the removal of the national moratorium in 2012 increased the number of doctors, but did not augment significantly the direct health costs produced by independent doctors. Furthermore, the reintroduction of regulations at the cantonal level in 2013 and 2014 decreased the number of doctors billing in free practice but, again, did not affect direct health costs.

          Conclusions

          Our findings suggest that regulating healthcare supply through a moratorium on doctors’ admissions does not directly contribute to limiting the increase in health expenditures.

          Supplementary Information

          The online version contains supplementary material available at (10.1186/s12913-022-07735-7).

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          Most cited references59

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          Interrupted time series regression for the evaluation of public health interventions: a tutorial

          Abstract Interrupted time series (ITS) analysis is a valuable study design for evaluating the effectiveness of population-level health interventions that have been implemented at a clearly defined point in time. It is increasingly being used to evaluate the effectiveness of interventions ranging from clinical therapy to national public health legislation. Whereas the design shares many properties of regression-based approaches in other epidemiological studies, there are a range of unique features of time series data that require additional methodological considerations. In this tutorial we use a worked example to demonstrate a robust approach to ITS analysis using segmented regression. We begin by describing the design and considering when ITS is an appropriate design choice. We then discuss the essential, yet often omitted, step of proposing the impact model a priori. Subsequently, we demonstrate the approach to statistical analysis including the main segmented regression model. Finally we describe the main methodological issues associated with ITS analysis: over-dispersion of time series data, autocorrelation, adjusting for seasonal trends and controlling for time-varying confounders, and we also outline some of the more complex design adaptations that can be used to strengthen the basic ITS design.
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            How much should we trust staggered difference-in-differences estimates?

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              Diagnosis related groups in Europe: moving towards transparency, efficiency, and quality in hospitals?

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                Author and article information

                Contributors
                michel.fuino@unil.ch
                philipp.trein@unil.ch
                joel.wagner@unil.ch
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                13 April 2022
                13 April 2022
                2022
                : 22
                : 495
                Affiliations
                [1 ]GRID grid.9851.5, ISNI 0000 0001 2165 4204, Department of Actuarial Science, , University of Lausanne, ; Chamberonne - Extranef, Lausanne, 1015 Switzerland
                [2 ]GRID grid.9851.5, ISNI 0000 0001 2165 4204, Department of Political Studies, , University of Lausanne, ; Géopolis, Lausanne, 1015 Switzerland
                [3 ]GRID grid.9851.5, ISNI 0000 0001 2165 4204, Swiss Finance Institute, , University of Lausanne, ; Chamberonne - Extranef, Lausanne, 1015 Switzerland
                Article
                7735
                10.1186/s12913-022-07735-7
                9008894
                35418090
                4194c3f6-a02f-43b6-a467-3ca1b77c6057
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 7 July 2021
                : 7 March 2022
                Funding
                Funded by: Schweizerischer Nationalfonds zur F?rderung der Wissenschaftlichen Forschung
                Award ID: 100018_169662
                Award ID: CRSII5_180350
                Award ID: 100018_169662
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Health & Social care
                healthcare system,doctors’ admissions,moratorium,cost containment
                Health & Social care
                healthcare system, doctors’ admissions, moratorium, cost containment

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