• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Who uses telehealth? Setting a usage baseline for the early identification of pandemic influenza activity

tetano

Editor, Senior Moderator
Telemed J E Health. 2012 Mar;18(2):153-7.
Who uses telehealth? Setting a usage baseline for the early identification of pandemic influenza activity.
Rolland-Harris E, Mangtani P, Moore KM.
Source

1 Infectious Disease Epidemiology Unit, London School of Hygiene and Tropical Medicine , London, United Kingdom .
Abstract

Abstract Objective: To describe Ontario Telehealth usage for respiratory complaints during normal (i.e., interpandemic) circumstances. Methods: Descriptive analyses were conducted on symptom calls of a respiratory nature made to Ontario (Canada) Telehealth during a 25-month period. Results: Approximately 300,000 calls were made during the period under study, peaking annually in January/February. Calls were above average during the weekend and Mondays (p<0.0001). All-ages consultation rate was 0.21/1,000 (range, 0.11-0.43). Standardized call rates suggested an inverse relationship between age and call rate (except for >65 years of age). During peak activity, weekly telehealth call rates were up to more than twice the weekly mean and up to four times as high as the lowest weekly rate. Highest call rate was for under 5 years old (158.4/1,000). Male rates exceed female call rates in younger age groups; the pattern reversed in older age groups. The relationship between income and call pattern showed that income and call patterns were (1) directly related for under 5 years old, (2) inversely related for callers aged 45 years and above, and (3) bimodal (higher call rates in both the highest and lowest income groups) for callers 5-44 years old. Discussion: The advent of annual respiratory illness seasons under study here resulted in surge capacity. Data such as these can and should be used for exercises such as seasonal and pandemic forecasting. Also, recent pandemic experience has showed us monitoring both overall exceedances in usage and deviances from established demographic patterns could enhance existing routine surveillance.

PMID:
22381061
[PubMed - in process]

http://www.ncbi.nlm.nih.gov/pubmed/22381061
 
Back
Top Bottom