Quality indicators for hospitals and clinics in Switzerland:

Readmissions (relapses)

number of 'unplanned readmissions'

The risk-adjusted re-admission rates (‘unplanned rehospitalisations’, simplified ‘relapse rates’) in 2022 show some major differences. It is pleasing to note that 41 of the 169 hospitals observed have a significantly below-average number of re-entries / relapses. This contrasts with 28 hospitals with significantly higher rates.

As in previous years, the Hôpitaux Universitaires de Genève (HUG) performed significantly better with a risk-adjusted re-entry rate of 5.3% within one month of discharge. The Swiss average is 6%. In contrast, the other four university hospitals (Bern, Zurich, Basel and Lausanne) again have significantly higher re-admission rates, the highest of which is the University Hospital Zurich.

The Clinique de la Plaine in Geneva has the lowest re-admission rate (1.1%), albeit with a small number of cases. The ANQ measurement methodology appears to favour specialist surgical clinics slightly - despite risk adjustment.

Best hospitals for readmissions (relapses)

... show less weniger
starstarstarstarstar  5.0
starstarstarstarstar  4.9
starstarstarstarstar  4.9
starstarstarstarstar  4.9
starstarstarstarstar  4.9
starstarstarstarstar  4.8
starstarstarstarstar  4.8
rank #7 to 162 hidden ... show mehr
starstarstarstarstar  4.8
starstarstarstarstar  4.8
starstarstarstarstar  4.8
starstarstarstarstar  4.8
starstarstarstarstar  4.7
starstarstarstarstar  4.7
starstarstarstarstar  4.7
starstarstarstarstar  4.7
starstarstarstarstar  4.6
starstarstarstarstar  4.6
starstarstarstarstar  4.6
starstarstarstarstar  4.6
starstarstarstarstar  4.6
starstarstarstarstar  4.6
starstarstarstarstar  4.5
starstarstarstarstar  4.5
starstarstarstarstar  4.5
starstarstarstarstar  4.4
starstarstarstarstar  4.4
starstarstarstarstar  4.4
starstarstarstarstar  4.3
starstarstarstarstar  4.3
starstarstarstarstar  4.3
starstarstarstarstar  4.3
starstarstarstarstar  4.2
starstarstarstarstar  4.2
starstarstarstarstar  4.2
starstarstarstarstar  4.1
starstarstarstarstar  4.1
starstarstarstarstar  4.1
starstarstarstarstar  4.1
starstarstarstarstar  3.9
starstarstarstarstar  3.8
starstarstarstarstar  3.8
starstarstarstarstar  3.8
starstarstarstarstar  3.8
starstarstarstarstar  3.7
starstarstarstarstar  3.7
starstarstarstarstar  3.7
starstarstarstarstar  3.6
starstarstarstarstar  3.6
#49:  Spital Thusis
starstarstarstarstar  3.6
starstarstarstarstar  3.6
starstarstarstarstar  3.5
starstarstarstarstar  3.5
starstarstarstarstar  3.4
starstarstarstarstar  3.4
starstarstarstarstar  3.3
starstarstarstarstar  3.3
starstarstarstarstar  3.3
starstarstarstarstar  3.2
starstarstarstarstar  3.1
starstarstarstarstar  3.1
starstarstarstarstar  3.1
starstarstarstarstar  3.1
starstarstarstarstar  3.1
starstarstarstarstar  3.0
starstarstarstarstar  3.0
starstarstarstarstar  3.0
starstarstarstarstar  3.0
starstarstarstarstar  3.0
starstarstarstarstar  3.0
starstarstarstarstar  3.0
starstarstarstarstar  2.9
starstarstarstarstar  2.9
starstarstarstarstar  2.9
starstarstarstarstar  2.9
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  2.8
starstarstarstarstar  2.8
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  2.6
starstarstarstarstar  2.6
starstarstarstarstar  2.6
starstarstarstarstar  2.6
starstarstarstarstar  2.6
starstarstarstarstar  2.6
starstarstarstarstar  2.6
#102:  Spital Schwyz
starstarstarstarstar  2.6
starstarstarstarstar  2.5
starstarstarstarstar  2.5
starstarstarstarstar  2.5
starstarstarstarstar  2.5
starstarstarstarstar  2.5
starstarstarstarstar  2.5
starstarstarstarstar  2.5
starstarstarstarstar  2.5
starstarstarstarstar  2.5
#112:  Spital Uster
starstarstarstarstar  2.5
starstarstarstarstar  2.5
starstarstarstarstar  2.5
starstarstarstarstar  2.4
starstarstarstarstar  2.4
starstarstarstarstar  2.4
#118:  Spital Zofingen
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  2.2
starstarstarstarstar  2.2
starstarstarstarstar  2.2
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  2.0
starstarstarstarstar  2.0
starstarstarstarstar  2.0
starstarstarstarstar  1.9
starstarstarstarstar  1.9
starstarstarstarstar  1.9
starstarstarstarstar  1.8
starstarstarstarstar  1.8
starstarstarstarstar  1.8
starstarstarstarstar  1.7
starstarstarstarstar  1.6
starstarstarstarstar  1.6
starstarstarstarstar  1.6
starstarstarstarstar  1.5
starstarstarstarstar  1.5
starstarstarstarstar  1.5
starstarstarstarstar  1.4
starstarstarstarstar  1.4
starstarstarstarstar  1.4
starstarstarstarstar  1.3
starstarstarstarstar  1.3
starstarstarstarstar  1.2
starstarstarstarstar  1.1
starstarstarstarstar  1.0
starstarstarstarstar  0.9
starstarstarstarstar  0.4
starstarstarstarstar  0.4
starstarstarstarstar  0.3
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 October 14, 2024.