Table 4.
Comparison of telemedicine activity among nine different statewide networks delivering multispecialty services
| Reference | Technology | Year | Network size | Population served | Telemedicine consultations | Pro capita ratea | |
|---|---|---|---|---|---|---|---|
| Veterans Health Administration, USA | [Darkins 2014] [22] | VC and SF | 2013 | 152 Medical Centers, 600 community-based outpatient clinics, patients’ homes | 21,600,000 | 600,000 | 27.8 |
| Alaska, USA | [Kokesh 2011] [26] | VC and SF | 2009 | 248 sites, more than 700 health-care providers | 700,000 | 14,000 | 20.0 |
| Ontario, Canada | [O’Gorman 2015] [17] | VC and SF | 2013 | 2026 sites | 13,550,900 | 221,353 | 16.3 |
| African Francophone Telemedicine Network, Bolivia | [Vargas 2014] [23] | VC and SF | 2013 | more than 20 health institutions | 200,000 | 700 | 3.5 |
| Alberta, Canada | [Ohinmaa 2006] [24] | VC | 2003 | 212 sites | 3,000,000 | 5766 | 1.9 |
| Georgia, USA | [Brewer 2011] [25] | VC and SF | 2009 | 51 statewide access points | 9,829,211 | 18,000 | 1.8 |
| Nebraska, USA | [Meyers 2012] [27] | Mainly VC | 2010 | over 110 sites | 1,800,000 | 2600 | 1.4 |
| Western Australia | [Dillon 2005] [28] | VC | 2003 | 104 sites | 2,000,000 | 2151 | 1.1 |
| Norway | [present study] | VC | 2013 | 28 hospitals | 5,165,802 | 2879 | 0.6 |
aPro capita rate: consultations/1000 inhabitants
Abbreviations: VC videoconferencing, SF store-and-forward