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)

Summary

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.

Conditions

• Toolbox to Optimize Data Quality of the National MQIs

Interventions

BEHAVIORAL

Data quality development toolkit concerning the medical quality indicators (MQI)

The toolkit uses a train-the-trainer strategy. The research team will: * develop training and support materials for external training providers and delegated staff (champions) from the long-term care facilities * prepare external training providers within a one 3h session to train champions from the long-term care facilities * organize an e-mail contact centre for MQI related questions for the participating facilities. The external training providers will: \- train the champions in one full day (8h) in-person training session and in 2 online sessions a 4h and 2h to support their co-workers to collect reliable MQI data. Based on the received training, the champions will: * provide internal trainings to the care and nursing team, * perform data quality monitoring, * provide feedback on data quality and act as a contact person for questions on MQI in their facility.

Sponsors & Collaborators

• University of Applied Sciences and Arts of Southern Switzerland

  collaborator OTHER

• Institut et Haute Ecole de la Santé la Source

  collaborator OTHER

• University of Basel

  lead OTHER

Principal Investigators

• Franziska Zúñiga, Prof. Dr. · University of Basel

Study Design

Allocation

NA

Purpose

HEALTH_SERVICES_RESEARCH

Masking

NONE

Model

SINGLE_GROUP

Eligibility

Min Age

16 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2024-12-05

Primary Completion

2025-03-31

Completion

2025-06-30

Countries

• Switzerland

Study Locations