CompletedNot Applicable

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)

Switzerland22 participantsStarted 2024-12-05

Plain-language 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.

Who can participate

Age range

16 Years

Sex

ALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion criteria

. External training providers:
. willing to implement trainings as designed by the research team and to all interested long-term care facilities
. have capacity to provide the trainers and infrastructure for the trainings - agree to non-commercial use of training materials
. Trainer:
. with competence in training staff of long-term care facilities
. with knowledge on data collection of the current MQIs
. Long-term care facilities:
. with a cantonal recognition as a residential long-term care facility

Questions worth asking your doctor

Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.

1Based on my diagnosis and history, is this trial worth exploring for me — or is there a standard treatment we should try first?
2What does this trial's phase tell us about how much is already known about its safety and benefit?
3What would taking part actually involve for me — visits, tests, time, and travel?
4What are the known and possible risks or side effects I should weigh, and how would they be monitored?
5If this trial isn't the right fit, what other options or trials would you suggest I look into?

Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.

Questions for the trial coordinator

The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.

1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?

A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.

What they're measuring

Acceptability of the toolbox

Timeframe: After each champion's training unit (baseline, 3 weeks and 9 weeks): interview with trainer. At 3 months: survey and focus groups with champions, leadership, nursing and care staff. At 6 months: focus group with champions.

Feasibility of the toolbox

Implementation fidelity

Barriers to the implementation of the toolbox

Timeframe: After each champion's training unit (baseline, 3 weeks and 9 weeks): interview with trainer. At 3 months: focus groups with champions, leadership, nursing and care staff. At 6 months: focus group with champions.

Facilitators to the implementation of the toolbox

Timeframe: At 3 months: focus groups with champions, leadership, nursing and care staff. At 6 months: focus group with champions.

Trial details

NCT IDNCT06848725

SponsorUniversity of Basel

Sponsor typeOTHER

Study typeINTERVENTIONAL

Primary completion2025-04-30

View on ClinicalTrials.gov More Toolbox to Optimize Data Quality of the National MQIs trials