Apollo 2028 project in details

Leader: Kaunas University of Technology. Contributors: CHU Montpellier, CHU Nimes, Eötvös Loránd University, Karolinska Institute, Massachusetts General Hospital, University of Montpellier

WP2 objective

Achieve specific objective 2 “study and identify organizational level factors affecting positively or negativelyphysiological health, mental health, and resilience of health workers ”.

WP2 tasks

Task 2.1. Literature review

Leader: Kaunas University of Technology - Support: Karolinska Institute, University of Montpellier

Start: Month 01 - End: Month 06

A literature review on organizational resilience will be performed so that we are up to date with the latest developments. It will also allow to have a first list of variables to study in the next tasks. We will submit this literature review as a report (deliverable 2.1).

Task 2.2. Exploratory - sequential mixed research protocol development

Leader: Kaunas University of Technology - Support: Eötvös Loránd University, Karolinska Institute

Start: Month 02 - End: Month 07

The detailed exploratory-sequential mixed research methodology will be prepared, in which research methods, respondent selection criteria, etc. will be presented. The guidelines for exploratory-sequential mixed research methodology will be presented in Deliverable 2.2.

Task 2.3. Multiple case study (qualitative research)

Leader: Kaunas University of Technology - Support: CHU Montpellier, CHU Nimes, Karolinska Institute, Massachusetts General Hospital

Start: Month 08 - End: Month 17

The multiple case study (qualitative research) will consist of an analysis of secondary data (M08 to M12), semi structured
interviews (M08 to M12), and focus groups (M13 to M17). All qualitative research data collected (semi structured
interviews, focus groups and secondary data analysis) will be transferred to the analytical matrix. Qualitative data will
be analyzed using the MAXQDA tool. The multiple case study report will be prepared as a Deliverable 2.3.

Task 2.4. Survey (quantitative research)

Leader: University of Montpellier - Support: CHU Montpellier, CHU Nimes, Eötvös Loránd University, Karolinska Institute, Massachusetts General Hospital

Start: Month 18 - End: Month 27

First, the questionnaire will be prepared. After that, the pilot data collection will be done. Based on the results of thepilot data analysis, the survey questionnaire will be revised and if needed changes will be done. Survey data will becollected (issued for open access as deliverable 2.4).

Task 2.5. Data analysis and reporting

Leader: University of Montpellier - Support:  Eötvös Loránd University, Karolinska Institute, Kaunas University of Technology

Start: Month 28 - End: Month 32

Based on prior assistance to the parallel data collection tasks to ensure the proper IT background, this task focuseson the analysis of the collected data. Standard statistical tools and software will be used for basic analysis. This willbe complemented by the selection and implementation of suitable methods from data science and machine learning(artificial intelligence) to gain new insights from the growing set of available data. Creating informative visualizationsof the findings and the appropriate data-driven reports is also part of the task. The qualitative and quantitative researchanalysis data will be summarized in the report as Deliverable 2.5.

Leader: Bocconi University. Contributors: CHU Montpellier, CHU Nimes, Eötvös Loránd University, Karolinska Institute, Massachusetts General Hospital.

WP3 objective

Achieve specific objective 3 “Identify and study meso-organizational (team, middle-manager) level factors affectingpositively or negatively mental health, wellbeing, and resilience of health and care workers”.

WP3 tasks

Task 3.1. Scoping review

Leader: Bocconi University - Support: Karolinska Institute

Start: Month 02 - End: Month 07

A scoping review will be conducted to identify available evidence in the literature regarding meso-level factors thatinfluence individual resilience in health care settings. Relevant databases (PubMed, Scopus, Embase, Web of Science)will be searched using structured (i.e., replicable) review techniques to identify the prevalence of emerging factors andthe nature of observed relationships. At the end of the scoping review, we expect to select the most studied variables inthe literature, to identify those that are relevant but not yet sufficiently explained (through the analysis of emerging gapsin the literature), and to pave the way for the operationalization of these variables in preparation for subsequent tasks.We will submit this scoping review as a report (deliverable 3.1)

Task 3.2. Focus groups and interviews (qualitative research)

Leader: Karolinska Institute  - Support: Bocconi University, CHU Montpellier, CHU Nimes, Massachusetts General Hospital

Start: Month 08 - End: Month 17

Focus group interviews will be performed with participants from middle manager teams from the different participatinghospitals. Interviews will be conducted with an interviews guide. Topics that will be evaluated are the managers' viewson strategies that promote individual, team and organizational resilience and their role in supporting these strategies.The interviews and focus groups will be audio-recorded, transcribed, and analyzed using thematic analysis.

Task 3.3. Survey (quantitative research)

Leader: Bocconi University - Support: CHU Montpellier, CHU Nimes, Karolinska Institute, Massachusetts General Hospital

Start: Month 18 - End: Month 27

Based on the results of the scoping review a questionnaire will be drafted. The preliminary version of the questionnairewill be revised based on the insights gathered through qualitative inquiries (i.e., cognitive interviews with key informantsand focus groups). After that, a pilot data collection will be run to test the reliability of the questionnaire. Based on theresults of the pilot data analysis, the survey questionnaire will be refined and if needed changes will be made. The surveywill then be administered at two points in time using a commercial electronic platform for survey services (QualtricsXM©). The generated data will be shared on an open access repository (deliverable 3.2).

Task 3.4. Data analysis and reporting

Leader: Eötvös Loránd University - Support: Bocconi University, Karolinska Institute

Start: Month 28 - End: Month 32

Based on prior assistance to the parallel data collection tasks to ensure the proper IT background, this task focuseson the analysis of the collected data. Standard statistical tools and software will be used for basic analysis. This willbe complemented by the selection and implementation of suitable methods from data science and machine learning(artificial intelligence) to gain new insights from the growing set of available data. Creating informative visualizations of the findings and the appropriate data-driven reports is also part of the task. The qualitative and quantitative researchanalysis data will be summarized in the report as Deliverable 3.3.

Leader: University of Montpellier. Contributors: Abo Akademi, Bocconi University, Eötvös Loránd University, Karolinska Institute, Kaunas University of Technology, Massachusetts General Hospital, Vilnius University.

WP4 objective

Achieve specific objective 4 “Study the interplay between individual, organizational and team resilience and provide managerial tools”.

WP4 tasks

Task 4.1. Integrated model definition

Leader: University of Montpellier - Support: Abo Akademi, Bocconi University, Karolinska Institute, Kaunas University of Technology, Massachusetts General Hospital, Vilnius University.

Start: Month 28 - End: Month 40

In this task, we will create an integrated model based on the data collected from WP1-2-3. This will constitute a core deliverable of our project, since it will be shared with all our targeted stakeholders (health and care workers, health managers, health care system manager / funders / policy makers) to provide the core knowledge necessary to help them better manage the resilience of health and care workers.

Drawing upon data collected about individual (WP1), teams (WP3), and organizational (WP2) factors, we will test how the interaction of theses multilevel analysis can affect individual resilience. We will develop an integrated model, accounting for the feedback loops connecting the various components (e.g., individual resilience influencing team resilience, which in turn may influence organizational resilience, which could feed back on individual resilience, etc.) To this end will use state-of-the art tools, including machine learning and agent-based computational modeling.The model will be shared as a report (deliverable 4.4).

Task 4.2. Creating a training program

Leader: University of Montpellier - Support: Abo Akademi, Bocconi University, Karolinska Institute, Kaunas University of Technology, Massachusetts General Hospital, Vilnius University.

Start: Month 20 - End: Month 32

We will create a training program for managers, such as nurse managers based on previous literature and the experience gained in the project. We will first examine the literature about psycap and enhance this program by including results from interplay between individual, team and organizational factors. The first version of the training program and content will be issued as deliverable 4.3.

Task 4.3. Testing the training program through a before/after study

Leader: University of Montpellier - Support: Abo Akademi, Bocconi University, Karolinska Institute, Kaunas University of Technology, Massachusetts General Hospital, Vilnius University.

Start: Month 33 - End: Month 41

We will constitute a sample of physicians and nurses to test the effect of the training program provided to managers and directors. We will evaluate it on the basis of a controlled before-after study. We will make amendments to our training program based on the outcomes of our test. A report of the test and the updated version of the training program and content will be issued as deliverable 4.5.

Task 4.4. Mapping user needs for a scenario analysis (AI) tool

Leader: Eötvös Loránd University - Support: Abo Akademi, Bocconi University, Karolinska Institute, Kaunas University of Technology, Massachusetts General Hospital, Vilnius University, University of Montpellier.

Start: Month 06 - End: Month 18

A software tool will be developed to assist decision makers (hospital managers) in the assessment of the consequences of their decisions with respect to the resilience of their workers, teams, and organization. The tool will offer interactive visualizations of the scenarios emerging from a given situation as a consequence of the selected actions (decisions).These visualizations will be complemented by summary statistics about the emerging predicted scenario.In this task, we will collect the needs of our key users (hospital managers) through a combination of focus groups andone survey. We will use the value proposition design model to list the expected features of our tool based on the feedback from our surveyed users. We will report our research and the feature list in the user needs mapping report (deliverable 4.1)

Task 4.5. Co-design a scenario analysis (AI) tool with users

Leader: Eötvös Loránd University - Support: Abo Akademi, Bocconi University, Karolinska Institute, Kaunas University of Technology, Massachusetts General Hospital, Vilnius University, University of Montpellier.

Start: Month 19 - End: Month 27

Once the features of our tool are defined in task 4.4., we will engage in a user-centered design process together withend-users to co-design our tool. We will issue the final mock-up of our platform as deliverable 4.2.

Task 4.6. Iterative prototyping of the scenario analysis (AI) tool

Leader: Eötvös Loránd University - Support: Abo Akademi, Bocconi University, Karolinska Institute, Kaunas University of Technology, Massachusetts General Hospital, Vilnius University, University of Montpellier.

Start: Month 28 - End: Month 40

In the final task of our tool development, we will create a series of working prototypes and test them with users to collect their feedbacks about its meaningfulness, effectiveness, and easiness to use. We will carry out several iterations of these development/test/feedback/improvement approach until we reach a final tool ready to be deployed (deliverable 4.6).The scenario analysis (AI) tool will be based on the simulation of an agent-based computational model (ABM). This simulation will model the main actors of the scenarios analyzed together with their interactions. The ABM will be informed by the results of WP1-WP3 and it will be an integrated model accounting for the feedback loops connecting the various components. On the other hand, the ABM will also be data driven: its rules will be derived from the datasets collected in WP1-WP3. We will use state of the art methods from Artificial Intelligence (AI) and data science (e.g.,machine learning) to derive the rules of the model from the data collected. The theoretical work of the other workpackages will constrain the possible rule structures and agent-agent interactions, but the actual rules will be derivedfrom data.

Leader: CHU Nimes. Contributors: Karolinska Institute, Kaunas University of Technology, Massachusetts General Hospital, Trinity College Dublin, University of Montpellier, Vilnius University.

WP5 objective

Achieve specific objective 5 “provide health system funders with cost-efficient solutions to improve mental health andwell-being of health and care workers at individual, organization, and sector levels”.

WP5 tasks

Task 5.1. Literature review

Leader: CHU Nimes

Start: Month 25 - End: Month 27

We will run a literature review to list variables to be used in task 5.2. This review will be published as deliverable 5.1.

Task 5.2. Baseline data collection

Leader: CHU Nimes - Support: Karolinska Institute, Kaunas University of Technology, Massachusetts General Hospital, University of Montpellier, Vilnius University.

Start: Month 28 - End: Month 40

We will use collection of data on physiological and mental health at individual level from objective 1, and also the results from objectives 2 and 3. We will pair these data with new data collected in this task through two questionnaires: the World Health Organization Well-Being Index (WHO-5) and the Mental Health Continuum Short Form (MHC-SF). Thanks to the Delphi method, we will collect consequences in terms of care consumption and carry out the necessary monetary valuation according to each country in the methodological plan of the study. This research will be reported in deliverable 5.2.

Task 5.3. Simulations

Leader: CHU Nimes

Start: Month 41 - End: Month 48

The mental health status n°2 (corresponding to the potential improvement of the health status after the use of the solutions from objective 4) will be estimated by simulation thanks to a new survey by the Delphi method. The simulations will be reported in deliverable 5.3.

Task 5.4. Economic valuation

Leader: CHU Nimes - Support: Trinity College Dublin

Start: Month 41 - End: Month 48

Economic data will be collected to estimate the value of the proposed solutions. This will allow to estimate the amount to invest. The economic evaluation will be the subject of an analysis report containing the objectives described in the protocol and will follow the detailed statistical analysis plan. This analysis report will be presented to the project leader. The economic assessment will be shared in deliverable 5.4.

Leader: Innotrope. Contributors: All

WP6 objective

Implement the dissemination, exploitation, and communication plans. Achieve specific objective 6“increase collaboration between policy makers and stakeholders to jointly fight against factors of stress at the workplace”.

WP6 tasks

Task 6.1. Production of dissemination, exploitation and communication plan / performance monitoring and reporting

Leader: Innotrope - Support: all

Start: Month 01 - End: Month 48

InnoT will produce a dissemination, exploitation, and communication (DEC) plan by month 4 (deliverable 5.2). This plan will be a living document that can be updated later in the project if our performance review requires updates in strategy. The performance monitoring will be ensured by the DEC committees and reported to the EC in the progress reports of the project.

Task 6.2. Dissemination management

Leader: Innotrope - Support: all

Start: Month 01 - End: Month 48

All the dissemination actions, as described in the plan (workshops, seminars, documents, participation in events, publications, etc.) will be managed in this task.

Task 6.3. Exploitation management

Leader: Innotrope - Support: all

Start: Month 01 - End: Month 48

All the exploitation actions, as described in the plan (i.e. FTO analyses, background list, exploitation discussions, patenting process, etc.) will be managed in this task.

Task 6.4. Communication actions

Leader: Innotrope - Support: all

Start: Month 01 - End: Month 48

All the communication actions, as described in the plan will be managed in this task. It includes the design of a graphical charter and the publication of our project website by month 3 (deliverable 6.1) and subsequent communication in social media, as well as press releases or production of videos.

Task 6.5. Outreach to stakeholders

Leader: University of Montpellier - Support: Innotrope

Start: Month 01 - End: Month 48

We will organise several events as detailed in the plan (workshops, webinars, conference, etc.) to reach out to key stakeholders, namely healthcare workers representative institutions, policy makers, and health systems funders. The aim of these events will be to share our knowledge, introduce our solutions, and collect feedback on them.

Task 6.6. Collaboration with other projects and initiatives

Leader: University of Montpellier - Support: Innotrope  

Start: Month 01 - End: Month 48

We will liaise with relevant EU initiatives and projects including but not limiting to the European partnership on Transforming Health and Care Systems. The aim will be to find ways to collaborate, especially with regards todissemination and promotion of our project’s results.

Leader: University of Montpellier. Contributors:  All

WP7 objective

Coordinate the project. Organize consortium meetings. Ensure proper administrative and financial management. Manage the quality of the work, deliverables, and good achievement of milestones. Monitor risks. Ensure ethical issues are considered.

WP7 tasks

Task 7.1. Project coordination / organization of meetings

Leader: University of Montpellier - Support: all

Start: Month 01 - End: Month 48

A project’s Steering Committee (SC) with a member representing each consortium partner will be formed at the beginning of the project. It will be the decision-making body of the project. It will be chaired by the Project Coordinator(PC) UM and will meet every six months (M01 in Montpellier, France, M06 in Milan, Italy, M12 in Kaunas, Lithuania, M18 in Stockholm, Sweden, M24 in Turku, Finland, M30 in Dublin, Ireland, M36 in Budapest, Hungary, M42 in Boston,USA, and M48 in Montpellier, France) or in online extra-ordinary meetings if required. The SC will review the progress of the project reported by the project manager and will make the needed decision using votes with simple majority.

Task 7.2. Administrative and financial management

Leader: University of Montpellier - Support: all

Start: Month 01 - End: Month 48

A project manager (PM) and a project assistant (PA) will be assigned to the consortium at UM and will manage the day-to-day implementation of the project. The PM will chair the Executive Board (EB) made of all the work package leaders that will meet every month online and discuss together about the implementation of the project. If any decision or important event or step needs to be reported to the SC, the PM will do so. Otherwise, the PM with the help of the PA will ensure all administrative and financial issues are managed. They will also prepare the periodic reports to the European Commission, to be validated by the PC before submission.

Task 7.3. Risk, ethics, and quality management

Leader: University of Montpellier - Support: all

Start: Month 01 - End: Month 48

This task, led by the PC, will consist in monitoring all potential risks, ethical issues, and check the quality of each deliverable and the proper achievement of all the milestones. If any problem occurs, the PC will report it back immediately to the SC, calling for an extra-ordinary meeting if needed, to request a decision-making process. This task will also consist in producing the data management plan (deliverable 7.1).

Leader: University of Montpellier. Contributors: All

WP8 objective

The objective is to ensure compliance with the 'ethics requirements' set out in this work package.

WP8 tasks

This work package sets out the 'ethics requirements' that the project must comply with.