Psychometric validation of the French version of two scales measuring general (HLS-Q12) and navigational (HLS-NAV) health literacy using the Rasch model.

Background: To examine the psychometrics properties of the French version of two scales measuring general (HLS-Q12) and navigational (HLS-NAV) health literacy (HL) using validation methods based on modern psychometric test theories: a Rasch model analysis.

Methods: The data on representative samples of the French adult population came from the Health Literacy Survey (N = 2 003), conducted in France in two waves (2020 and 2021), and from the third wave of SLAVACO study (N = 2 022), conducted in December 2021. A Rasch analysis was performed using a partial credit model with marginal maximum likelihood estimation adapted to polytomous data.

Barriers and Enablers for Deprescribing Glucose-Lowering Treatment in Older Adults: A Systematic Review.

Objectives: Overtreatment with glucose-lowering treatment (GLT) is frequent and a source of high morbidity and mortality in older adults with type 2 diabetes mellitus (T2DM). This study aimed to identify and synthesize barriers and enablers for deprescribing GLT in older adults (≥65 years) with T2DM.

Design: Systematic review of qualitative and mixed-methods studies.

French translation and validation of the cross-cultural adaptation of the MSTS functional assessment questionnaire completed after tumor surgery.

Introduction: Malignant tumors of the extremities are uncommon. Their surgical treatment, whether conservative or not, may cause sequelae. Functional assessment of patients is essential for research purposes, but also follow-ups and adaptation of treatments.

Development and validation of search filters to identify articles on deprescribing in Medline and Embase.

Background: Deprescribing literature has been increasing rapidly. Our aim was to develop and validate search filters to identify articles on deprescribing in Medline via PubMed and in Embase via Embase.com .

Toward a rigorous assessment of the statistical performances of methods to estimate the Minimal Important Difference of Patient-Reported Outcomes: A protocol for a large-scale simulation study.

Interpreting observed changes over time in Patient-Reported Outcomes (PRO) measures is still considered a challenge. Indeed, concluding an observed change at group level is statistically significant does not necessarily equate this change is meaningful from the perspective of the patient. To help interpret within and/or between group changes in the measure over time, the estimation of the Minimal Important Difference (MID) of the instrument - the smallest value that patients consider as a perceived change - is useful.

The minimal perceived change: a formal model of the responder definition according to the patient's meaning of change for patient-reported outcome data analysis and interpretation.

Background: Patient-Reported Outcomes (PROs) are standardized questionnaires used to measure subjective outcomes such as quality of life in healthcare. They are considered paramount to assess the results of therapeutic interventions. However, because their calibration is relative to internal standards in people's mind, changes in PRO scores are difficult to interpret.

Response shift in patient-reported outcomes: definition, theory, and a revised model.

Purpose: The extant response shift definitions and theoretical response shift models, while helpful, also introduce predicaments and theoretical debates continue. To address these predicaments and stimulate empirical research, we propose a more specific formal definition of response shift and a revised theoretical model.

Methods: This work is an international collaborative effort and involved a critical assessment of the literature.

Practical issues encountered while determining Minimal Clinically Important Difference in Patient-Reported Outcomes.

Background: Using a real dataset, we highlighted several major methodological issues raised by the estimation of the Minimal Clinically Important Difference (MCID) of a Patient-Reported Outcomes instrument. We especially considered the management of missing data and the use of more than two times of measurement. While inappropriate missing data management and inappropriate use of multiple time points can lead to loss of precision and/or bias in MCID estimation, these issues are almost never dealt with and require cautious considerations in the context of MCID estimation.

An updated matrix to predict rapid radiographic progression of early rheumatoid arthritis patients: pooled analyses from several databases.

Objective: In early RA, some patients exhibit rapid radiographic progression (RRP) after one year, associated with poor functional prognosis. Matrices predicting this risk have been proposed, lacking precision or inadequately calibrated. We developed a matrix to predict RRP with high precision and adequate calibration.

Hospital production cost of transcranial direct current stimulation (tDCS) in the treatment of depression.

Objectives: Due to its ease of use, tolerance, and cost of acquisition, transcranial direct current stimulation (tDCS) could constitute a credible therapeutic option for non-resistant depression in primary care, when combined with drug management. This indication has yet to receive official recognition in France. The objective of this study is to evaluate the production cost of tDCS for the treatment of depression in hospitals, under realistic conditions.

Horizontal mixture model for competing risks: a method used in waitlisted renal transplant candidates.

When a patient is registered on renal transplant waiting list, she/he expects a clear information on the likelihood of being transplanted. Nevertheless, this event is in competition with death and usual models for competing events are difficult to interpret for non-specialists. We used a horizontal mixture model.