Quality-indicators of hospitals and clinics in Switzerland:

Readmissions (relapses)

number of 'unplanned readmissions'

The risk-adjusted readmission rates ("unplanned rehospitalizations", simplified "relapse rates") in 2021 show some significant differences. It is encouraging that 41 of 164 monitored hospitals have a significantly below-average number of relapses. However, significantly increased rates were found in 34 hospitals.

As in previous years, the Hôpitaux Universitaires de Genève (HUG) perform significantly better with a risk-adjusted readmission rate of 5.6% within one month after discharge. The other university hospitals in Bern (Insel), Zurich, Basel and Lausanne (CHUV) again have significantly increased readmission rates.

The Hôpital de Rennaz (HRC) and the Schulthess Klinik in Zurich shine with significantly lower readmission rates.

Very low readmission rates are found in surgical and other speciality clinics, most of which are private clinics. Whether these good results can be attributed to particularly good treatment processes or the visiting doctor system, where patients are further cared for by the same doctor after their discharge, cannot be derived from the figures.

The best hospitals with regard to readmissions (relapses)

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starstarstarstarstar  5.0
starstarstarstarstar  5.0
starstarstarstarstar  4.9
starstarstarstarstar  4.8
starstarstarstarstar  4.8
starstarstarstarstar  4.8
starstarstarstarstar  4.7
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starstarstarstarstar  4.7
starstarstarstarstar  4.6
starstarstarstarstar  4.6
starstarstarstarstar  4.6
starstarstarstarstar  4.5
starstarstarstarstar  4.5
starstarstarstarstar  4.5
starstarstarstarstar  4.5
starstarstarstarstar  4.5
starstarstarstarstar  4.5
starstarstarstarstar  4.4
starstarstarstarstar  4.3
starstarstarstarstar  4.3
starstarstarstarstar  4.2
starstarstarstarstar  4.2
starstarstarstarstar  4.2
starstarstarstarstar  4.2
starstarstarstarstar  4.1
starstarstarstarstar  4.1
starstarstarstarstar  4.0
starstarstarstarstar  4.0
starstarstarstarstar  4.0
starstarstarstarstar  4.0
starstarstarstarstar  4.0
starstarstarstarstar  3.9
starstarstarstarstar  3.9
starstarstarstarstar  3.8
starstarstarstarstar  3.8
starstarstarstarstar  3.8
starstarstarstarstar  3.7
starstarstarstarstar  3.6
starstarstarstarstar  3.6
starstarstarstarstar  3.6
starstarstarstarstar  3.6
starstarstarstarstar  3.5
starstarstarstarstar  3.5
starstarstarstarstar  3.5
starstarstarstarstar  3.4
starstarstarstarstar  3.4
starstarstarstarstar  3.4
starstarstarstarstar  3.3
starstarstarstarstar  3.3
starstarstarstarstar  3.3
starstarstarstarstar  3.3
starstarstarstarstar  3.3
starstarstarstarstar  3.3
starstarstarstarstar  3.3
starstarstarstarstar  3.3
starstarstarstarstar  3.3
starstarstarstarstar  3.2
starstarstarstarstar  3.2
starstarstarstarstar  3.2
starstarstarstarstar  3.1
starstarstarstarstar  3.1
starstarstarstarstar  3.0
starstarstarstarstar  3.0
starstarstarstarstar  3.0
starstarstarstarstar  3.0
starstarstarstarstar  2.9
starstarstarstarstar  2.9
starstarstarstarstar  2.8
starstarstarstarstar  2.8
starstarstarstarstar  2.8
starstarstarstarstar  2.8
starstarstarstarstar  2.8
starstarstarstarstar  2.8
starstarstarstarstar  2.7
starstarstarstarstar  2.7
starstarstarstarstar  2.7
starstarstarstarstar  2.7
starstarstarstarstar  2.7
starstarstarstarstar  2.6
starstarstarstarstar  2.6
starstarstarstarstar  2.6
starstarstarstarstar  2.6
starstarstarstarstar  2.6
starstarstarstarstar  2.6
starstarstarstarstar  2.6
starstarstarstarstar  2.6
starstarstarstarstar  2.5
starstarstarstarstar  2.5
starstarstarstarstar  2.5
starstarstarstarstar  2.5
#91:  Spital Schwyz
starstarstarstarstar  2.5
starstarstarstarstar  2.5
starstarstarstarstar  2.5
starstarstarstarstar  2.5
starstarstarstarstar  2.5
starstarstarstarstar  2.4
starstarstarstarstar  2.4
starstarstarstarstar  2.4
starstarstarstarstar  2.4
starstarstarstarstar  2.4
starstarstarstarstar  2.4
starstarstarstarstar  2.4
starstarstarstarstar  2.4
starstarstarstarstar  2.3
starstarstarstarstar  2.3
starstarstarstarstar  2.3
starstarstarstarstar  2.3
starstarstarstarstar  2.3
#109:  Spital Bülach
starstarstarstarstar  2.3
#110:  Spital Uster
starstarstarstarstar  2.2
starstarstarstarstar  2.2
starstarstarstarstar  2.2
starstarstarstarstar  2.2
starstarstarstarstar  2.2
starstarstarstarstar  2.1
starstarstarstarstar  2.1
starstarstarstarstar  2.1
starstarstarstarstar  2.1
starstarstarstarstar  2.1
starstarstarstarstar  2.1
starstarstarstarstar  2.1
starstarstarstarstar  2.1
starstarstarstarstar  2.1
starstarstarstarstar  2.0
starstarstarstarstar  2.0
starstarstarstarstar  2.0
#127:  Spital Thusis
starstarstarstarstar  2.0
starstarstarstarstar  1.9
starstarstarstarstar  1.9
starstarstarstarstar  1.9
starstarstarstarstar  1.9
starstarstarstarstar  1.9
starstarstarstarstar  1.9
starstarstarstarstar  1.9
starstarstarstarstar  1.9
starstarstarstarstar  1.9
starstarstarstarstar  1.9
starstarstarstarstar  1.8
starstarstarstarstar  1.8
starstarstarstarstar  1.8
starstarstarstarstar  1.8
starstarstarstarstar  1.8
starstarstarstarstar  1.7
starstarstarstarstar  1.7
starstarstarstarstar  1.7
starstarstarstarstar  1.6
starstarstarstarstar  1.6
#148:  Spital Zofingen
starstarstarstarstar  1.5
starstarstarstarstar  1.5
starstarstarstarstar  1.4
starstarstarstarstar  1.3
starstarstarstarstar  1.3
starstarstarstarstar  1.3
starstarstarstarstar  1.2
starstarstarstarstar  1.2
starstarstarstarstar  1.1
starstarstarstarstar  1.0
starstarstarstarstar  0.9
starstarstarstarstar  0.8
starstarstarstarstar  0.7
starstarstarstarstar  0.5
starstarstarstarstar  0.1
starstarstarstarstar  0.1

Profile of the key figure readmissions (relapses)

About the indicator «Readmissions (relapses)»

Since 2018, the ANQ has been publishing data on the frequency of rehospitalizations - unfortunately, however, only for hospitals in the acute care sector. In 2021, he improved the methodology and now refers to the key figure as "unplanned rehospitalisations". This indicator shows how often patients have to return to hospital after a hospital stay.

What is an "unplanned hospital readmission"?

An "unplanned hospital readmission" occurs when a patient has to be readmitted to hospital within one month of a hospital stay for the same health problem. This can be an indication that the treatment was not sustainable and that the health problems have recurred.

Why is a low readmission rate important?

A hospital stay is stressful for patients and can be associated with high costs. A low readmission rate means that the treatment in the hospital was successful and that patients recover more quickly.

What are the reasons for a low readmission rate?

  • Good and sufficiently long treatment in hospital: The treatment in hospital should be tailored to the individual needs of the patients and should last long enough.
  • Careful planning of subsequent outpatient care: After the hospital stay, it is important that patients continue to receive good care. This can be provided by Spitex, family doctors or other specialists.
  • Good information for patients: Patients should be well informed about follow-up treatment and measures to promote healing.
  • Adequate reports to follow-up care providers: The treating doctors in the hospital should provide the follow-up care providers (e.g. family doctors) with all important information about the treatment and the patient's health status and upload the treatment-relevant documents to the patient's EPR.

Strengths:

  • Measuring unplanned readmissions highlights many important quality issues in healthcare.
  • The methodology is well thought-out and excludes diseases or circumstances where readmissions are inevitable or very likely.
  • The data is risk-adjusted, i.e. it takes into account that different patient groups have different risks of readmission.
  • The data comes from the Federal Office of Public Health's routine medical statistics and covers almost all cases in Swiss hospitals.

Limits:

  • Even with optimal treatment and aftercare, a certain number of relapses and readmissions are to be expected.
  • Risk adjustment is subject to certain uncertainties.
  • It is questionable whether large differences in the patient population (e.g. between a private clinic and a university hospital) can be fully compensated for by risk adjustment.

The data on this page was last updated on March 28, 2024.