Understanding Barriers Along the Patient Journey in Alzheimer's Disease Using Social Media Data.

ABSTRACT:

Introduction

We speculated that social media data from Alzheimer's disease (AD) stakeholders (patients, caregivers, and clinicians) could identify barriers along the patient journey in AD, and that insights gained may help devise strategies to remove barriers, and ultimately improve the patient journey.

Methods

Our sample was drawn from a repository of social media posts extracted from 112 public sources between January 1998 and December 2021 using natural language processing text-mining algorithms. The patient journey was classified into three phases: (1) early signs/experiences (Early Signs); (2) screening/assessment/diagnosis (Screening); and (3) treatment/management (Treatment). In the Early Signs phase, issues/challenges derived from a conceptual AD identification frame

SUBMITTER: Tahami Monfared AA 

PROVIDER: S-EPMC10195971 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature