Feasibility and validation of a web-based platform for the self-administered patient collection of demographics, health status, anxiety, depression, and cognition in community dwelling elderly.
Matthew CalamiaDaniel S WeitznerAlyssa N De VitoJohn P K BernsteinH Raymond AllenJeffrey N KellerPublished in: PloS one (2021)
The coronavirus disease pandemic has brought a new urgency for the development and deployment of web-based applications which complement, and offer alternatives to, traditional one-on-one consultations and pencil-and-paper (PaP) based assessments that currently dominate clinical research. We have recently developed a web-based application that can be used for the self-administered collection of patient demographics, self-rated health, depression and anxiety, and cognition as part of a single platform. In this study we report the findings from a study with 155 cognitively healthy older adults who received established PaP versions, as well as our novel computerized measures of self-rated health, depression and anxiety, and cognition. Moderate to high correlations were observed between PaP and web- based measures of self-rated health (r = 0.77), depression and anxiety (r = 0.72), and preclinical Alzheimer's disease cognitive composite (PACC) (r = .61). Test-retest correlations were variable with high correlations for a measure of processing speed and a measure of delayed episodic memory. Taken together, these data support the feasibility and validity of utilization of this novel web-based platform as a new alternative for collecting patient demographics and the assessment of self-rated health, depression and anxiety, and cognition in the elderly.
Keyphrases
- community dwelling
- coronavirus disease
- public health
- healthcare
- mild cognitive impairment
- mental health
- case report
- health information
- white matter
- high throughput
- physical activity
- electronic health record
- big data
- risk assessment
- high intensity
- social media
- sleep quality
- human health
- working memory
- cell therapy
- respiratory syndrome coronavirus
- data analysis