TY - JOUR
T1 - PRODIAB
T2 - Perspectives on the use of patient-reported outcome measures among diabetic patients
AU - Naïditch, Nicolas
AU - Hehn, Coline
AU - Ounajim, Amine
AU - Fagherazzi, Guy
AU - Gasch-Illescas, Antonia
AU - Braithwaite, Ben
AU - Thébaut, Jean François
N1 - Fundings:This study was funded by the French Federation of Diabetics
Publisher Copyright:
© 2023 The Author(s)
PY - 2023/1/1
Y1 - 2023/1/1
N2 - Patient Reported Outcome Measures (PROMs) are recognized by health authorities as fundamental and can be evaluated by several questionnaires. The main complexity of evaluating PROMs in People with Diabetes (PwD), be it type 1 (PwT1D) or type 2 (PwT2D), is choosing the right tool (generic or specific) with the right constructs. This study explores the use of PROMs in PwD. The main objective was to compare generic and specific QoL PROMs in a diabetic population. The secondary objective was to assess potential overlaps of assessed constructs in the different PROMs frequently used in diabetes. PRODIAB was an online quantitative survey conducted between January and February 2022. The scientific committee selected the following oft-used questionnaires: EuroQol 5-Dimensions 5-Level (EQ-5D-5L), Audit of Diabetes Dependent Quality of Life (ADDQOL), Treatment Burden Questionnaire (TBQ), Hospital Anxiety and-Depression Scale (HADS-A; HADS-D) and Patient-Health-Questionnaire-9 (PHQ-9). All PROMs used were validated in French. Responses from 2,796 French PwD were analyzed. Compared to PwT2D, PwT1D reported a better general Quality of Life (QoL) on the EQ-5D-5L index (0.75 vs 0.66; p < 0.001) and a lower specific QoL on the ADDQOL (-2.8 vs -2.5; p < 0.001). Adjusted analysis showed that age was inversely associated with EQ-5D-5L index score (-0.11; p < 0.001) and a positively associated with ADDQOL score (0.14; p < 0.001). All PROMs were significantly correlated with each other and the HADS-A, HADS-D and PHQ9 (r 0.60 to 0.72) even more so. While principal component analyses suggested that all PROMs measured only one dimension (mental health) (eigenvalue=3.39; first dimension percentage of variance 56.5), adjusted analyses suggested that the EQ-5D-5L is not adequate for assessing the specific impact of diabetes on QoL. Our study emphasizes the importance of identifying the constructs assessed by each PROM as well as the target population in order to choose the best-suited questionnaire type with the most appropriate constructs.
AB - Patient Reported Outcome Measures (PROMs) are recognized by health authorities as fundamental and can be evaluated by several questionnaires. The main complexity of evaluating PROMs in People with Diabetes (PwD), be it type 1 (PwT1D) or type 2 (PwT2D), is choosing the right tool (generic or specific) with the right constructs. This study explores the use of PROMs in PwD. The main objective was to compare generic and specific QoL PROMs in a diabetic population. The secondary objective was to assess potential overlaps of assessed constructs in the different PROMs frequently used in diabetes. PRODIAB was an online quantitative survey conducted between January and February 2022. The scientific committee selected the following oft-used questionnaires: EuroQol 5-Dimensions 5-Level (EQ-5D-5L), Audit of Diabetes Dependent Quality of Life (ADDQOL), Treatment Burden Questionnaire (TBQ), Hospital Anxiety and-Depression Scale (HADS-A; HADS-D) and Patient-Health-Questionnaire-9 (PHQ-9). All PROMs used were validated in French. Responses from 2,796 French PwD were analyzed. Compared to PwT2D, PwT1D reported a better general Quality of Life (QoL) on the EQ-5D-5L index (0.75 vs 0.66; p < 0.001) and a lower specific QoL on the ADDQOL (-2.8 vs -2.5; p < 0.001). Adjusted analysis showed that age was inversely associated with EQ-5D-5L index score (-0.11; p < 0.001) and a positively associated with ADDQOL score (0.14; p < 0.001). All PROMs were significantly correlated with each other and the HADS-A, HADS-D and PHQ9 (r 0.60 to 0.72) even more so. While principal component analyses suggested that all PROMs measured only one dimension (mental health) (eigenvalue=3.39; first dimension percentage of variance 56.5), adjusted analyses suggested that the EQ-5D-5L is not adequate for assessing the specific impact of diabetes on QoL. Our study emphasizes the importance of identifying the constructs assessed by each PROM as well as the target population in order to choose the best-suited questionnaire type with the most appropriate constructs.
KW - Diabetes
KW - Mental Health
KW - PROMs
KW - Quality of life
UR - http://www.scopus.com/inward/record.url?scp=85147482022&partnerID=8YFLogxK
U2 - 10.1016/j.deman.2023.100128
DO - 10.1016/j.deman.2023.100128
M3 - Article
AN - SCOPUS:85147482022
SN - 2666-9706
VL - 9
JO - Diabetes Epidemiology and Management
JF - Diabetes Epidemiology and Management
M1 - 100128
ER -