Last reviewed · How we verify

NCT06848725

Testing the Implementation of a Toolbox to Optimize Data Collection and Data Quality of the National Medical Quality Indicators in Long-term Care Facilities: A Pilot Study. (NIP-Q-UPGRADE Subaim 1.8)

Completed NA Last updated 25 February 2026
What this trial tests

NA trial testing Data quality development toolkit concerning the medical quality indicators (MQI) in Toolbox to Optimize Data Quality of the National MQIs in 22 participants. Completed in 30 June 2025.

Timeline
5 December 2024
Primary endpoint
30 April 2025
30 June 2025

Quick facts

Lead sponsorUniversity of Basel
PhaseNA
StatusCompleted
Study typeINTERVENTIONAL
Allocationna
Designsingle group
Maskingnone
Primary purposehealth services research
Enrollment22
Start date5 December 2024
Primary completion30 April 2025
Estimated completion30 June 2025
Sites3 locations across Switzerland

Drugs / interventions tested

Conditions studied

Sponsor

University of Basel

Who can join

16 and older, any sex, with Toolbox to Optimize Data Quality of the National MQIs. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Since 2019, long-term care facilities in Switzerland are obliged by the Federal Insurance Law (KVG, Art. 59a) to report data for the calculation and public reporting of medical quality indicators (MQI). By 2024, this is done in four clinical domains: polypharmacy, pain, malnutrition and the use of physical restraints. This data is used for both monitoring quality of care on a national level and for internal quality of care development. To be valid and reliable, MQI data needs to be collected according to specified measurement instructions. An ethnographic study conducted within the NIP-Q-UPGRADE identified numerous challenges, which can lead to poor data quality. The overall aim of this pilot study is to test the implementation of a data quality development toolkit concerning the MQI. The toolkit uses a train-the-trainer strategy. The research team will prepare external training providers to train delegated staff from the long-term care facilities (further called champions), who will then train and support their co-workers to collect reliable MQI data. The research team developed training and support materials and organized an e-mail contact centre for MQI related questions for the participating facilities. Implementation outcomes will be assessed at two levels: long-term care facilities and the external training providers. Objectives at the external training provider level: 1. To determine the acceptability and feasibility of the training and support materials. 2. To determine the fidelity to the training and adaptations made when implementing it. 3. To identify the barriers and facilitators for the implementation of the training. 4. To measure the costs associated with delivering the training. Objectives at the long-term care facility level: 1. To determine the acceptability and the feasibility of the data quality development toolkit components. 2. To determine the fidelity to toolkit components and adaptations made when implementing it. 3. To identify the barriers and facilitators for the implementation of the toolkit. 4. To measure the costs associated with implementing the toolkit.

Publications & conference data

1 peer-reviewed publication reference this trial (live from Europe PMC):

  1. The development of a multi-level intervention to improve data quality of the national quality indicators in Swiss long-term care facilities using an Intervention Mapping approach
    Osińska M, Braun D, Baumann S, Benkert B, et al ·

Verify or expand the search:

Other University of Basel trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06848725.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing