Unsupervised clustering analysis of data from an online community to identify lupus patient profiles with regards to treatment preferences
| Autor: | Julien Mancini, Laurent Chiche, Damien Testa, Lise Radoszycki, Noémie Jourde-Chiche, Pasquale Varriale |
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| Přispěvatelé: | Carenity [Paris] (Else Care), Centre recherche en CardioVasculaire et Nutrition = Center for CardioVascular and Nutrition research (C2VN), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Hôpital de la Conception [CHU - APHM] (LA CONCEPTION), Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale (SESSTIM - U1252 INSERM - Aix Marseille Univ - UMR 259 IRD), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital de la Timone [CHU - APHM] (TIMONE), Biostatistique et technologies de l'information et de la communication (BioSTIC) - [Hôpital de la Timone - APHM] (BiosTIC ), Assistance Publique - Hôpitaux de Marseille (APHM)- Hôpital de la Timone [CHU - APHM] (TIMONE), Hôpital Européen [Fondation Ambroise Paré - Marseille], Service Biostatistique et Technologies de l’Information et de la Communication [AP-HM Hôpital de la Timone] (BioSTIC), Malbec, Odile |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Adult
Male medicine.medical_specialty treatment preferences [SDV]Life Sciences [q-bio] online community Affect (psychology) Medication Adherence 03 medical and health sciences Young Adult 0302 clinical medicine Therapeutic Adherence Rheumatology systemic lupus erythematosus Surveys and Questionnaires medicine Cluster Analysis Humans Lupus Erythematosus Systemic 030212 general & internal medicine Intensive care medicine Aged 030203 arthritis & rheumatology Autoimmune disease Clinical Trials as Topic Internet Systemic lupus erythematosus business.industry Social Support Patient Preference lupus Middle Aged medicine.disease Online community [SDV] Life Sciences [q-bio] Pharmaceutical Preparations therapeutic adherence Female France Unsupervised clustering business Attitude to Health Social Media |
| Zdroj: | Lupus Lupus, 2021, 30 (11), pp.1837-1843. ⟨10.1177/09612033211033977⟩ |
| ISSN: | 0961-2033 |
| Popis: | Objective Lupus is a chronic complex autoimmune disease. Non-adherence to treatment can affect patient outcomes. Considering patients’ preferences into medical decisions may increase acceptance to their medication. The PREFERLUP study used unsupervised clustering analysis to identify profiles of patients with similar treatment preferences in an online community of French lupus patients. Methods An online survey was conducted in adult lupus patients from the Carenity community between August 2018 and April 2019. Multiple Correspondence Analysis (MCA) was used with three unsupervised clustering methods (hierarchical, kmeans and partitioning around medoids). Several indicators (measure of connectivity, Dunn index and Silhouette width) were used to select the best clustering algorithm and choose the number of clusters. Results The 268 participants were mostly female (96%), with a mean age of 44.3 years 83% fulfilled the American College of Rheumatology (ACR) self-reported diagnostic criteria for systemic lupus erythematosus. Overall, the preferred route of administration was oral (62%) and the most important feature of an ideal drug was a low risk of side-effects (32%). Hierarchical clustering identified three clusters. Cluster 1 (59%) comprised patients with few comorbidities and a poor ability to identify oncoming flares; 84% of these patients desired oral treatments with limited side-effects. Cluster 2 (13%) comprised younger patients, who had already participated in a clinical trial, were willing to use implants and valued the compatibility of treatments with pregnancy. Cluster 3 (28%) comprised patients with a longer lupus duration, poorer control of the disease and more comorbidities; these patients mainly valued implants and injections and expected a reduction of corticosteroid intake. Conclusions Different profiles of lupus patients were identified according to their drug preferences. These clusters could help physicians tailor their therapeutic proposals to take into account individual patient preferences, which could have a positive impact on treatment acceptance and then adherence. The study highlights the value of data acquired directly from patient communities. |
| Databáze: | OpenAIRE |
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