Use of Telehealth Information for Early Detection: Insights From the COVID-19 Pandemic.
Objectives. To examine whether the addition of telehealth data to existing surveillance infrastructure can improve forecasts of cases and mortality. Methods. In this observational study, we compared accuracy of 14-day forecasts using real-time data available to the National Syndromic Surveillance Pr...
| Publicado en: | American Journal of Public Health Vol. 114; no. 2; pp. 218 - 226 |
|---|---|
| Autores principales: | , , , , , , , |
| Formato: | Artículo |
| Publicado: |
American Public Health Association
Feb2024
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=175356716&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 175356716 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00900036 APH jtl: American Journal of Public Health issn: 00900036 maglogo: N pubinfo: dt: Feb2024 vid: 114 iid: 2 pid: 44 pub: American Public Health Association artinfo: ui: 175356716 10.2105/AJPH.2023.307499 ppf: 218 ppct: 8 formats: tig: atl: Use of Telehealth Information for Early Detection: Insights From the COVID-19 Pandemic. aug: au: Haenchen, Steven McCabe, Bridget Mack, Wendy J. Doctor, Jason N. Linder, Jeffrey A. Persell, Stephen D. Tibbels, Jason Meeker, Daniella su: United States Mortality Access to information Forecasting COVID-19 pandemic Scientific observation Comparative studies Research funding Descriptive statistics Telemedicine Early diagnosis sug: subj: Mortality Access to information Forecasting COVID-19 pandemic United States Scientific observation Comparative studies Research funding Descriptive statistics Telemedicine Early diagnosis ab: Objectives. To examine whether the addition of telehealth data to existing surveillance infrastructure can improve forecasts of cases and mortality. Methods. In this observational study, we compared accuracy of 14-day forecasts using real-time data available to the National Syndromic Surveillance Program (standard forecasts) to forecasts that also included telehealth information (telehealth forecasts). The study was performed in a national telehealth service provider in 2020 serving 50 US states and the District of Columbia. Results. Among 10.5 million telemedicine encounters, 169 672 probable COVID-19 cases were diagnosed by 5050 clinicians, with a rate between 0.79 and 47.8 probable cases per 100 000 encounters per day (mean = 8.37; SD = 10.75). Publicly reported case counts ranged from 0.5 to 237 916 (mean: 53 913; SD = 47 466) and 0 to 2328 deaths (mean = 1035; SD = 550) per day. Telehealth-based forecasts improved 14-day case forecasting accuracy by 1.8 percentage points to 30.9% (P =.06) and mortality forecasting by 6.4 percentage points to 26.9% (P <.048). Conclusions. Modest improvements in forecasting can be gained from adding telehealth data to syndromic surveillance infrastructure. (Am J Public Health. 2024;114(2):218–225. https://doi.org/10.2105/AJPH.2023.307499) pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|