title: A Population-Level Data Analytics Portal for Self-Administered Lifestyle and Mental Health Screening.
abstract: This paper describes development of a prototype data analytics portal for analysis of accumulated screening results from eCHAT (electronic Case-finding and Help Assessment Tool). eCHAT allows individuals to conduct a self-administered lifestyle and mental health screening assessment, with usage to date chiefly in the context of primary care waiting rooms. The intention is for wide roll-out to primary care clinics, including secondary school based clinics, resulting in the accumulation of population-level data. Data from a field trial of eCHAT with sexual health questions tailored to youth were used to support design of a data analytics portal for population-level data. The design process included user personas and scenarios, screen prototyping and a simulator for generating large-scale data sets. The prototype demonstrates the promise of wide-scale self-administered screening data to support a range of users including practice managers, clinical directors and health policy analysts.
authors: Department of Computer Science, Health Care, University of Auckland, Auckland 1142, New Zealand.
authors: Xindi
authors: X
authors: Zhang
authors: Department of Computer Science, Health Care, University of Auckland, Auckland 1142, New Zealand.
authors: Jim
authors: J
authors: Warren
authors: Department of General Practice and Primary, Health Care, University of Auckland, Auckland 1142, New Zealand.
authors: Arden
authors: A
authors: Corter
authors: Department of General Practice and Primary, Health Care, University of Auckland, Auckland 1142, New Zealand.
authors: Felicity
authors: F
authors: Goodyear-Smith
mesh_terms: D006801:Humans; D020407:Internet; D008019:Life Style; D008403:Mass Screening / Q000379:methods*; D008490:Medical Informatics; D008603:Mental Health; D009520:New Zealand; D011320:Primary Health Care; D011795:Surveys and Questionnaires