Clinical trial NCT05932030: Assessment of Knowledge and Perceptions of Artificial Intelligence in Solid Organ Transplantation
Official title: Assessment of Knowledge and Perceptions of Artificial Intelligence in Solid Organ Transplantation
Study type: INTERVENTIONAL
Overall status: UNKNOWN
Phase: NA
Conditions: Solid Organ Transplantation
Artificial Intelligence
Lead sponsor: University Hospital, Grenoble
Sponsor class: OTHER
First posted: 2023-07-06
Enrollment: 6750
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Allocation: NA
Intervention model: SINGLE_GROUP
Primary purpose: OTHER

Brief summary: The increasing abundance of clinical, genetic, radiological, and metabolic data in transplantation has led to a growing interest in applying artificial intelligence (AI) tools to optimize immunosuppression and overall patient management.

However, the majority of these applications exist only in the preclinical state and the field of artificial intelligence remains unknown to the general public. In view of the potential applications of AI and the growing research interest in this topic, it is essential to assess the knowledge and perceptions of those directly involved in solid organ transplantation.

Primary Objective: To assess the knowledge and perceptions of solid organ transplant patients and healthcare professionals working in the field of solid organ transplantation

Primary endpoint:

* Analysis of verbatim and closed-ended questionnaire data
* Comparison of the averages obtained by the subgroups of patients and health professionals and analysis of the verbatim by grouping them by themes

Detailed description: Solid organ transplantation is the treatment of last resort for end-stage organ disease. In France, 51860 patients receive transplants, and the number of candidates awaiting transplantation has doubled in 10 years. At the same time as considerable progress has been made in recent decades, new challenges have emerged. The growing disparity between demand and supply of organs calls for optimal selection and matching of patients and donors. Improving long-term graft and patient survival requires data-driven diagnosis and management of post-transplant complications. The increasing abundance of clinical, genetic, radiological and metabolic data in transplantation has led to growing interest in applying artificial intelligence (AI) tools to optimize immunosuppression and overall patient management.

However, the majority of these applications are still in the pre-clinical stage, and the field of artificial intelligence remains largely unknown to the general public. In view of the potential applications of AI and the growing research interest in the subject, it is essential to assess the knowledge and perceptions of those directly involved in solid organ transplantation.

This is a prospective, observational, multicenter study. The questionnaire will be submitted face-to-face to healthcare professionals working in solid organ transplantation and solid organ transplant patients at Grenoble Alpes University Hospital. It will be put online on the LimeSurvey platform and offered to healthcare professionals at France's various transplant centers via the federations of each organ specialty, as well as to all organ transplant patients in France via patient associations.

The data included will be collected from paper questionnaires and online on the LimeSurvey platform. They will be stored on a secure server at the TIMC research laboratory department. Data will be anonymized for inclusion in the database. An identifier will be assigned to each volunteer at the time of inclusion.

Categorical data will be reported as frequency, percentage, and continuous data as mean and standard deviation or median and interquartile range if they do not follow a normal distribution. The normality of quantitative variables will be tested by graphical verification.

Continuous variables will be compared using a Student's t test if the conditions of application are valid (or Mann-Whitney if applicable). Categorical variables will be compared using a Chi2 test (or Fisher's test if validity conditions are not met).

We consider p values \<0.05 to be significant. Statistical analysis will be carried out using RStudio software (version 4.2.1).

Eligibility criteria: Inclusion Criteria:

* age greater than or equal to 18 years
* solid organ transplant patients or health professionals working in transplantation
* no opposition to the study

Exclusion Criteria:

* subject under guardianship or deprived of liberty
* hematopoietic stem cell transplantation

Primary outcomes:
measure: Knowledge and perceptions evaluation of solid organ transplant patients and healthcare professionals working with solid organ transplantation
timeFrame: 15 minutes
Secondary outcomes:
measure: Level of knowledge comparison between different healthcare professionals on artificial intelligence
timeFrame: 15 minutes
measure: Perceptions comparison between different healthcare professionals on artificial intelligence
timeFrame: 15 minutes
measure: Comparison of level of artificial intelligence knowledge of patients based on the transplanted organ
timeFrame: 15 minutes
measure: Comparison of the perception on artificial intelligence of patients according to the transplanted organ
timeFrame: 15 minutes
measure: Comparison of the average level of knowledge about artificial intelligence of healthcare professionals and patients.
timeFrame: 15 minutes
measure: Comparison of the levels of perception of artificial intelligence among healthcare professionals and patients
timeFrame: 15 minutes
Other outcomes:
Locations:
Study officials:
affiliation: University Hospital, Grenoble
name: Pierrick Bedouch, Pr
role: PRINCIPAL_INVESTIGATOR
References: