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AccessPD as a next generation registry to accelerate Parkinson's disease research.
Chang, Yun-Hsuan; Periñan, Maria Teresa; Wilson, Matt; Noyce, Alastair J.
Afiliação
  • Chang YH; UMEDEOR LTD, 8 Warner Yard, London, EC1R 5EY, UK.
  • Periñan MT; Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/Consejo Superior de Investigaciones Científicas (CSIC)/Universidad de Sevilla, 41013, Seville, Spain.
  • Wilson M; Centre for Preventive Neurology, Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK.
  • Noyce AJ; UMEDEOR LTD, 8 Warner Yard, London, EC1R 5EY, UK.
NPJ Parkinsons Dis ; 10(1): 66, 2024 Mar 19.
Article em En | MEDLINE | ID: mdl-38503768
ABSTRACT
Recruitment is a major rate-limiting factor in Parkinson's disease (PD) research. AccessPD is a unique platform that aims to create a registry of more than 2000 PD patients and a rich database of PD-relevant information. Potential participants are identified using electronic health records (EHRs) in primary care. They are contacted via text message with an individualized link to the study portal. Electronic patient-reported outcomes (ePRO) are collected via online questionnaires and integrated with existing EHR. 200 participants were recruited within the first 6 months, of which 191 answered the follow-up questionnaire. Here, to showcase the potential of AccessPD, we described the most common diagnoses before and after PD diagnosis, the most commonly prescribed drugs, and identified participants who could benefit from device-aided therapies using consensus criteria. AccessPD shows its unique ability to link different data sources for patient stratification in longitudinal studies and recruitment into clinical trials.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article