Toolbox to Optimize Data Quality of the National MQIsNCT06848725
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)
A study testing Data quality development toolkit concerning the medical quality indicators (MQI) in people with Toolbox to Optimize Data Quality of the National MQIs, run by University of Basel at 3 sites in Switzerland.
Trial 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. Read more about this study
- Who is it for?
- Ages 16 years and olderHealthy volunteers can take part
- Conditions the study is for
- Toolbox to Optimize Data Quality of the National MQIs
- What is being tested?
- Data quality development toolkit concerning the medical quality indicators (MQI)
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 22 participants
- Where
- 3 sitesSwitzerland
- Study dates
- 5 Dec 2024to 30 Jun 2025
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 16 years and older
- All sexes
- Healthy volunteers accepted
- Child, Adult, Older adult
Who may be able to join
- 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
Show all 20Show fewer
- Long-term care facilities:
- with a cantonal recognition as a residential long-term care facility
- willing to implement the toolkit
- which can nominate at least one champion
- Champions:
- Long-term care facility employees motivated to take up the role
- having sufficient knowledge of the residents, infrastructure and processes in the facility (e.g., resident care, needs assessment instrument, electronic health records)
- Ideally with experience in leadership, staff training, MQI data collection and quality monitoring, e.g., nurse, nurse expert, quality manager, needs assessment instrument manager
- Management and staff responsible for quality:
- any level of management staff and staff responsible for quality in long-term care facility e.g., director of nursing, team leader, quality manager
- directly involved in supporting the implementation of the toolkit or exposed to its content
- Nursing and care staff:
- Any level of nursing or care staff e.g., registered nurses, licensed practical nurses, nurse aids involved in collecting data for MQI
- exposed to the content of the toolkit (i.e., internal trainings, feedback, support materials), e.g., registered nurses, licensed practical nurses, nurse aids
Who cannot join
- 1. long-term care facilities that are participants of the study "Data Quality and National Quality Indicators in Long-term Care Facilities: a Validation Study and Evaluation Study"
Trial locations and contacts
3 sites in 1 country.
Switzerland3 sites
Institut für Pflegewissenschaft - Nursing Science (INS), University of Basel
Basel, 4056
La Source School of Nursing, HES-SO University of Applied Sciences and Arts of Western Switzerland, Lausanne, Switzerland
Lausanne
Department of Business Economics, Health and Social Care, University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Manno, Switzerland.
Manno, Canton Ticino, 6928
About this study
Official title: 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 Within the National Implementation Programme NIP-Q-UPGRADE
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.
Read more
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:
- To determine the acceptability and feasibility of the training and support materials.
- To determine the fidelity to the training and adaptations made when implementing it.
- To identify the barriers and facilitators for the implementation of the training.
- To measure the costs associated with delivering the training.
Objectives at the long-term care facility level:
- To determine the acceptability and the feasibility of the data quality development toolkit components.
- To determine the fidelity to toolkit components and adaptations made when implementing it.
- To identify the barriers and facilitators for the implementation of the toolkit.
- To measure the costs associated with implementing the toolkit.
Read the detailed description
A one-group experimental study will be performed including a multiple methods evaluation.
Participants will be recruited at two levels:
- the provider responsible for delivering the training to the champions from the long-term care facilities,
- long-term care facilities who will implement the data quality development toolkit and select the champions to be sent to the training.
The external training provider is a company with experience in training staff of long-term care facilities in performing needs assessment with residents and in understanding and using the current MQI. The company will nominate employees to be instructed by the research team (December 2024) on how to conduct the developed training for facility champions. They will take up the organization and conduct of the trainings in three languages all regions of Switzerland. The research team will inform the training participants about the study and the data collection.
At facility level, five to ten long-term care facilities per Swiss language region (German, French and Italian speaking) will be recruited between November and December 2024 to implement the data quality development toolkit (i.e., a max. of 30 facilities in total over all language regions). At least one person per facility will be trained between January and March 2025 to act as a champion in the data quality development toolkit and perform tasks such as training of fellow staff and data quality monitoring (1 full day training onsite, two online trainings of 4h, resp. 2h with 2-4 weeks in-between). Trainings will be language-specific.
Individual study participants will be persons involved in delivering and coordinating champion trainings. In long-term care facilities we aim to collect data from the champions, the direct care staff at different educational levels, management staff and staff responsible for quality in the facilities. All individual participants will be asked to consent for data collection.
Data will be collected between November 2024 and June 2025:
At the training provider level
Quantitative data:
Activity logs: The costs of organizing and delivering the trainings will be assessed by using activity logbooks filled in continuously by the staff organizing and conducting the training (November to March 2025)
Qualitative data:
Interviews or group discussion: Acceptability, feasibility, fidelity, and adaptations to the toolkit, and barriers and facilitators to the implementation of the champion training will be assessed through interviews or group discussions with the involved staff after each of the three training session (January to March 2025, in total 9 interviews or group discussions, 3 per language region).
At the long-term care facility level
Quantitative data:
Online survey: Acceptability, feasibility and fidelity will be assessed via online surveys of involved staff at different levels (e.g., nurses, nurse assistants, management, champions) in March 2025. The surveys will also ask for background information on the facilities and participants.
Survey data will be collected in a secure online electronic data collection platform (REDCap).
Activity logbooks: Costs associated with the implementation will be assessed by using activity logbooks filled in by the champions and management.
Qualitative data:
Focus groups: Acceptability, feasibility, fidelity, and adaptations to the toolkit, and barriers and facilitators to implementation will be assessed through focus group per language region per staff group coming from different facilities:
- 1-2 focus groups with management staff and staff responsible for quality (March 2025, total over all language regions 3-6 focus groups).
- 1-2 focus groups with champions (March 2025 and June 2025, over all language regions 3-6 focus groups per time point, 6-12 in total)
- 1-2 focus groups with nurses and care staff exposed to the toolkit (March 2025, total over all language regions 3-6 focus groups)
- Being tested
- Data quality development toolkit concerning the medical quality indicators (MQI)
- Keywords
- NIP-Q-UPGRADE, quality indicators, long-term care, data quality improvement
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Data quality development toolkit concerning the medical quality indicators (MQI)Behavioural
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.
| Study group | Role | What they receive |
|---|---|---|
| Long-term care facilities | Experimental | All participating facilities will be offered the same toolbox Receives: Behavioral: Data quality development toolkit concerning the medical quality indicators (MQI) |
What is being measured
The primary outcome is the main question the study is designed to answer.
Acceptability of the toolbox
Acceptability of toolbox components will be assessed in a survey with Acceptability of Intervention Measure (AIM), a 4-item instrument measuring the acceptability of an intervention.
Further exploration of acceptability in qualitative interviews and focus groups
Measured: 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
Feasibility of toolbox components will be assessed in a survey with Feasibility of Intervention Measure (FIM), a 4-item instrument measuring the feasibility of an intervention.
Further exploration of feasibility in qualitative interviews and focus groups.
Measured: 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.
Implementation fidelity
Degree of fidelity to each component (yes, partial, no) will be measured using a questionnaire survey.
Further exploration of implementation fidelity in qualitative interviews and focus groups.
Measured: 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.
Barriers to the implementation of the toolbox
Barriers to the implementation will be explored in qualitative interviews and focus groups, and categorized according to the Consolidated Framework of Implementation Research (CFIR)
Measured: 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
Facilitators to the implementation will be explored in qualitative interviews and focus groups, and categorized according to the Consolidated Framework of Implementation Research (CFIR)
Measured: At 3 months: focus groups with champions, leadership, nursing and care staff. At 6 months: focus group with champions.
Sum of costs associated with implementation of the toolkit in Swiss francs
Costs will be calculated based on time spent on implementation activities per staff group with corresponding hourly salary estimate, recorded in an activity logbook
Measured: Continuously from baseline training to 3 months after
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted27 Feb 2025
- Study start5 Dec 2024
- Primary completion30 Apr 2025
- Study completion30 Jun 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Toolbox to Optimize Data Quality of the National MQIsStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Health services research
- Allocation
- Not applicable
- Intervention model
- Single group
- Model description
- The study addresses long-term care facilities
- Masking
- None (open label)
- Enrolment
- 22 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of Basel
- Sponsor type
- University, hospital or other
- Collaborators
- University of Applied Sciences and Arts of Southern Switzerland, Institut et Haute Ecole de la Santé la Source
- Responsible party
- Principal investigator, Franziska Zúñiga, University of Basel
- Investigators
- Franziska Zúñiga, Prof. Dr., Principal investigator, University of Basel
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06848725
- Sponsor's protocol ID
- NIP-Q-UPGRADE WP 1.8
- Status last verified
- Feb 2025
- First submitted
- 3 Jan 2025
- Last updated
- 25 Feb 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 25 Feb 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- 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 Within the National Implementation Programme NIP-Q-UPGRADE
- ClinicalTrials.gov ID
- NCT06848725
- Acronym / sponsor ID
- NIP-Q-UPGRADE WP 1.8
- Keywords
- NIP-Q-UPGRADE, quality indicators, long-term care, data quality improvement
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 22 participants (actual)
- Lead sponsor
- University of BaselUniversity, hospital or other
- Collaborators
- University of Applied Sciences and Arts of Southern Switzerland, Institut et Haute Ecole de la Santé la Source
- Study start
- 5 Dec 2024 (actual)
- Primary completion
- 30 Apr 2025 (actual)
- Study completion
- 30 Jun 2025 (actual)
- First posted
- 27 Feb 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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:
- To determine the acceptability and feasibility of the training and support materials.
- To determine the fidelity to the training and adaptations made when implementing it.
- To identify the barriers and facilitators for the implementation of the training.
- To measure the costs associated with delivering the training.
Objectives at the long-term care facility level:
- To determine the acceptability and the feasibility of the data quality development toolkit components.
- To determine the fidelity to toolkit components and adaptations made when implementing it.
- To identify the barriers and facilitators for the implementation of the toolkit.
- To measure the costs associated with implementing the toolkit.
Detailed description
A one-group experimental study will be performed including a multiple methods evaluation.
Participants will be recruited at two levels:
- the provider responsible for delivering the training to the champions from the long-term care facilities,
- long-term care facilities who will implement the data quality development toolkit and select the champions to be sent to the training.
The external training provider is a company with experience in training staff of long-term care facilities in performing needs assessment with residents and in understanding and using the current MQI. The company will nominate employees to be instructed by the research team (December 2024) on how to conduct the developed training for facility champions. They will take up the organization and conduct of the trainings in three languages all regions of Switzerland. The research team will inform the training participants about the study and the data collection.
At facility level, five to ten long-term care facilities per Swiss language region (German, French and Italian speaking) will be recruited between November and December 2024 to implement the data quality development toolkit (i.e., a max. of 30 facilities in total over all language regions). At least one person per facility will be trained between January and March 2025 to act as a champion in the data quality development toolkit and perform tasks such as training of fellow staff and data quality monitoring (1 full day training onsite, two online trainings of 4h, resp. 2h with 2-4 weeks in-between). Trainings will be language-specific.
Individual study participants will be persons involved in delivering and coordinating champion trainings. In long-term care facilities we aim to collect data from the champions, the direct care staff at different educational levels, management staff and staff responsible for quality in the facilities. All individual participants will be asked to consent for data collection.
Data will be collected between November 2024 and June 2025:
At the training provider level
Quantitative data:
Activity logs: The costs of organizing and delivering the trainings will be assessed by using activity logbooks filled in continuously by the staff organizing and conducting the training (November to March 2025)
Qualitative data:
Interviews or group discussion: Acceptability, feasibility, fidelity, and adaptations to the toolkit, and barriers and facilitators to the implementation of the champion training will be assessed through interviews or group discussions with the involved staff after each of the three training session (January to March 2025, in total 9 interviews or group discussions, 3 per language region).
At the long-term care facility level
Quantitative data:
Online survey: Acceptability, feasibility and fidelity will be assessed via online surveys of involved staff at different levels (e.g., nurses, nurse assistants, management, champions) in March 2025. The surveys will also ask for background information on the facilities and participants.
Survey data will be collected in a secure online electronic data collection platform (REDCap).
Activity logbooks: Costs associated with the implementation will be assessed by using activity logbooks filled in by the champions and management.
Qualitative data:
Focus groups: Acceptability, feasibility, fidelity, and adaptations to the toolkit, and barriers and facilitators to implementation will be assessed through focus group per language region per staff group coming from different facilities:
- 1-2 focus groups with management staff and staff responsible for quality (March 2025, total over all language regions 3-6 focus groups).
- 1-2 focus groups with champions (March 2025 and June 2025, over all language regions 3-6 focus groups per time point, 6-12 in total)
- 1-2 focus groups with nurses and care staff exposed to the toolkit (March 2025, total over all language regions 3-6 focus groups)
Study design
- Primary purpose
- Health services research
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
- Model description
- The study addresses long-term care facilities
| Arm | Type | Receives |
|---|---|---|
| Long-term care facilities | Experimental | Behavioral: Data quality development toolkit concerning the medical quality indicators (MQI)All participating facilities will be offered the same toolbox |
Who may qualify
- Ages
- 16 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (20 listed)
- External training providers:
- Trainer:
- Long-term care facilities:
- Champions:
- Management and staff responsible for quality:
Key exclusion criteria (1 listed)
- 1. long-term care facilities that are participants of the study "Data Quality and National Quality Indicators in Long-term Care Facilities: a Validation Study and Evaluation Study"
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| 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. | Behavioural | Long-term care facilities |
Primary outcome
Acceptability of the toolbox
Time frame: 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.
Acceptability of toolbox components will be assessed in a survey with Acceptability of Intervention Measure (AIM), a 4-item instrument measuring the acceptability of an intervention. Further exploration of acceptability in qualitative interviews and focus groups
Feasibility of the toolbox
Time frame: 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 toolbox components will be assessed in a survey with Feasibility of Intervention Measure (FIM), a 4-item instrument measuring the feasibility of an intervention. Further exploration of feasibility in qualitative interviews and focus groups.
Implementation fidelity
Time frame: 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.
Degree of fidelity to each component (yes, partial, no) will be measured using a questionnaire survey. Further exploration of implementation fidelity in qualitative interviews and focus groups.
Barriers to the implementation of the toolbox
Time frame: 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.
Barriers to the implementation will be explored in qualitative interviews and focus groups, and categorized according to the Consolidated Framework of Implementation Research (CFIR)
Facilitators to the implementation of the toolbox
Time frame: At 3 months: focus groups with champions, leadership, nursing and care staff. At 6 months: focus group with champions.
Facilitators to the implementation will be explored in qualitative interviews and focus groups, and categorized according to the Consolidated Framework of Implementation Research (CFIR)
Sum of costs associated with implementation of the toolkit in Swiss francs
Time frame: Continuously from baseline training to 3 months after
Costs will be calculated based on time spent on implementation activities per staff group with corresponding hourly salary estimate, recorded in an activity logbook
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 25 Feb 2026.
- Individual participant dataSharing planned: No
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Franziska Zúñiga, Prof. Dr. principal investigator
University of Basel
3 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Data quality development toolkit concerning the medical quality indicators (MQI) in people with Toolbox to Optimize Data Quality of the National MQIs, run by University of Basel at 3 sites in Switzerland.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 20 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 25 Feb 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 3 sites in Switzerland. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Acceptability of the toolbox (time frame: 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.). The study lists 6 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 25 Feb 2026.