| Literature DB >> 27644324 |
Paolo Zanaboni1, Richard Wootton2,3.
Abstract
BACKGROUND: Although Norway is well known for its early use of telemedicine to provide services for people in rural and remote areas in the Arctic, little is known about the pace of telemedicine adoption in Norway. The aim of the present study was to explore the statewide implementation of telemedicine in Norwegian hospitals over time, and analyse its adoption and level of use.Entities:
Keywords: Adoption; Barriers; Implementation; Telehealth; Telemedicine
Mesh:
Year: 2016 PMID: 27644324 PMCID: PMC5028940 DOI: 10.1186/s12913-016-1743-5
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Fig. 1Health regions and public hospitals in Norway
Outpatient visits and telemedicine consultations in the period 2009-2013 in the four health regions in Norway
| Health region | Centrality (0-20)a | Population (0-10)a | Outpatient visits (2009) | Outpatient visits (2010) | Outpatient visits (2011) | Outpatient visits (2012) | Outpatient visits (2013) | Telemedicine consultations (2009) | Telemedicine consultations (2010) | Telemedicine consultations (2011) | Telemedicine consultations (2012) | Telemedicine consultations (2013) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Western Norway | 10 | 0.80 | 879,911 | 930,840 | 947,303 | 994,769 | 1,027,463 | 240 (0.03 %) | 246 (0.03 %) | 821 (0.09 %) | 1586 (0.16 %) | 1686 (0.16 %) |
| Central Norway | 11 | 0.50 | 695,162 | 724,617 | 763,467 | 784,757 | 804,753 | 448 (0.06 %) | 23 (0.00 %) | 1 (0.00 %) | 0 (0.00 %) | 32 (0.00 %) |
| Northern Norway | 4 | 0.20 | 470,078 | 484,151 | 502,839 | 515,029 | 514,316 | 1739 (0.37 %) | 876 (0.18 %) | 986 (0.20 %) | 955 (0.19 %) | 991 (0.19 %) |
| South-Eastern Norway | 14 | 1.30 | 2,573,532 | 2,625,076 | 2,711,593 | 2,783,087 | 2,819,054 | 318 (0.01 %) | 41 (0.00 %) | 19 (0.00 %) | 159 (0.01 %) | 170 (0.01 %) |
| Total | 12 | 0.6 | 4,618,683 | 4,764,684 | 4,925,202 | 5,077,642 | 5,165,586 | 2745 (0.06 %) | 1186 (0.02 %) | 1827 (0.04 %) | 2700 (0.05 %) | 2879 (0.06 %) |
aValues are expressed as median
Values in brackets (%) represent the percentage of telemedicine consultations compared to the number of outpatient visits, by year
Fig. 2Telemedicine consultations in the period 2009-2013 in Norway and in the four health regions
Outpatient visits and telemedicine consultations in the period 2009-2013 in the publicly funded hospitals in Norway
| Hospital | Size | Outpatient visits (2009) | Outpatient visits (2010) | Outpatient visits (2011) | Outpatient visits (2012) | Outpatient visits (2013) | Telemedicine consultations (2009) | Telemedicine consultations (2010) | Telemedicine consultations (2011) | Telemedicine consultations (2012) | Telemedicine consultations (2013) |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Western Norway | 879,911 | 930,840 | 947,303 | 994,769 | 1,027,463 | 240 (0.03 %) | 246 (0.03 %) | 821 (0.09 %) | 1586 (0.16 %) | 1686 (0.16 %) | |
| Helse Stavanger HF | Large | 236,601 | 274,315 | 268,052 | 279,797 | 289,860 | 124 (0.05 %) | 201 (0.07 %) | 806 (0.30 %) | 1583 (0.57 %) | 1684 (0.58 %) |
| Helse Fonna HF | Medium | 115,059 | 118,160 | 117,049 | 121,380 | 122,381 | 103 (0.09 %) | 41 (0.03 %) | 13 (0.01 %) | 1 (0.00 %) | 0 (0.00 %) |
| Helse Bergen HF | Large | 376,996 | 388,058 | 409,798 | 432,519 | 448,597 | 0 (0.00 %) | 1 (0.00 %) | 2 (0.00 %) | 2 (0.00 %) | 0 (0.00 %) |
| Helse Førde HF | Medium | 110,630 | 109,995 | 112,956 | 114,554 | 119,052 | 11 (0.01 %) | 2 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 2 (0.00 %) |
| Betanien Hospital (Hordaland)a | Small | 1675 | 2059 | 2097 | 2104 | 2192 | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) |
| Haugesund San. Revmatismesykehusa | Small | 21,914 | 21,066 | 18,082 | 24,333 | 23,915 | 2 (0.01 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) |
| Haraldsplass Diakonale Sykehusa | Small | 17,036 | 17,187 | 19,269 | 20,082 | 21,466 | 0 (0.00 %) | 1 (0.01 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) |
| Central Norway | 695,162 | 724,617 | 763,467 | 784,757 | 804,753 | 448 (0.06 %) | 23 (0.00 %) | 1 (0.00 %) | 0 (0.00 %) | 32 (0.00 %) | |
| St. Olavs Hospital HF | Large | 327,390 | 350,338 | 368,701 | 382,669 | 393,556 | 448 (0.14 %) | 23 (0.01 %) | 1 (0.00 %) | 0 (0.00 %) | 10 (0.00 %) |
| Helse Nord-Trøndelag HF | Medium | 100,797 | 99,562 | 109,382 | 109,110 | 112,597 | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 22 (0.02 %) |
| Helse Møre og Romsdal HF | Large | 266,975 | 274,717 | 285,384 | 292,978 | 298,600 | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) |
| Northern Norway | 470,078 | 484,151 | 502,839 | 515,029 | 514,316 | 1739 (0.37 %) | 876 (0.18 %) | 986 (0.20 %) | 955 (0.19 %) | 991 (0.19 %) | |
| Helse Finnmark HF | Medium | 55,048 | 54,132 | 55,108 | 59,607 | 59,092 | 14 (0.03 %) | 33 (0.06 %) | 39 (0.07 %) | 105 (0.18 %) | 76 (0.13 %) |
| Universitetssykehuset i Nord-Norge HF | Large | 214,538 | 227,831 | 235,486 | 238,232 | 241,248 | 1325 (0.62 %) | 780 (0.34 %) | 848 (0.36 %) | 558 (0.23 %) | 778 (0.32 %) |
| Nordlandssykehuset HF | Medium | 122,723 | 126,532 | 130,953 | 132,566 | 133,766 | 147 (0.12 %) | 63 (0.05 %) | 99 (0.08 %) | 292 (0.22 %) | 137 (0.10 %) |
| Helgelandssykehuset HF | Medium | 77,769 | 75,656 | 81,292 | 84,624 | 80,210 | 253 (0.33 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) |
| South-Eastern Norway | 2,573,532 | 2,625,076 | 2,711,593 | 2,783,087 | 2,819,054 | 318 (0.01 %) | 41 (0.00 %) | 19 (0.00 %) | 159 (0.01 %) | 170 (0.01 %) | |
| Sunnaas sykehus HF | Small | 2691 | 3922 | 3598 | 3285 | 4388 | 0 (0.00 %) | 4 (0.10 %) | 5 (0.14 %) | 132 (4.02 %) | 154 (3.51 %) |
| Vestre Viken HF | Large | 287,427 | 277,960 | 296,535 | 306,315 | 326,293 | 0 (0.00 %) | 3 (0.00 %) | 1 (0.00 %) | 0 (0.00 %) | 1 (0.00 %) |
| Akershus universitetssykehus HF | Large | 175,830 | 185,536 | 233,530 | 254,194 | 248,798 | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) |
| Sykehuset Innlandet HF | Large | 317,634 | 320,325 | 327,537 | 335,019 | 341,459 | 97 (0.03 %) | 14 (0.00 %) | 1 (0.00 %) | 4 (0.00 %) | 1 (0.00 %) |
| Sykehuset Østfold HF | Large | 200,674 | 195,314 | 196,563 | 205,507 | 212,247 | 137 (0.07 %) | 5 (0.00 %) | 2 (0.00 %) | 3 (0.00 %) | 0 (0.00 %) |
| Sørlandet sykehus HF | Large | 267,781 | 271,263 | 279,041 | 292,567 | 298,291 | 74 (0.03 %) | 15 (0.01 %) | 8 (0.00 %) | 18 (0.01 %) | 13 (0.00 %) |
| Sykehuset i Vestfold HF | Large | 196,826 | 195,674 | 205,989 | 215,857 | 213,254 | 0 (0.00 %) | 0 (0.00 %) | 2 (0.00 %) | 1 (0.00 %) | 0 (0.00 %) |
| Sykehuset Telemark HF | Medium | 155,306 | 164,000 | 169,598 | 173,197 | 154,658 | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) |
| Oslo universitetssykehus HF | Large | 825,891 | 859,476 | 828,164 | 815,140 | 832,613 | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 1 (0.00 %) | 0 (0.00 %) |
| Betanien Hospital (Telemark)a | Small | 14,868 | 16,983 | 18,760 | 19,815 | 19,642 | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 1 (0.01 %) |
| Lovisenberga | Medium | 43,071 | 45,088 | 52,065 | 53,489 | 57,058 | 10 (0.02 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) |
| Martina Hansens hospitala | Small | 22,934 | 22,964 | 25,021 | 29,528 | 29,568 | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) |
| Revmatismesykehuset Lillehammera | Small | 10,701 | 10,803 | 12,351 | 13,916 | 13,960 | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) |
| Diakonhjemmeta | Medium | 51,898 | 55,768 | 62,841 | 65,258 | 66,825 | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) |
| Total | 4,618,683 | 4,764,684 | 4,925,202 | 5,077,642 | 5,165,586 | 2745 (0.06 %) | 1186 (0.02 %) | 1827 (0.04 %) | 2700 (0.05 %) | 2879 (0.06 %) |
aPrivate specialist health facilities
Values in brackets (%) represent the percentage of telemedicine consultations compared to the number of outpatient visits, by year and hospital
Fig. 3Telemedicine usage compared to hospital size, expressed as outpatient visits in 2013
Fig. 4Telemedicine growth compared to hospital size, expressed as outpatient visits in 2013
Outpatient visits and telemedicine consultations in the period 2009-2013 in the different clinical specialties
| Clinical specialty | Activity | Outpatient visits (2009) | Outpatient visits (2010) | Outpatient visits (2011) | Outpatient visits (2012) | Outpatient visits (2013) | Telemedicine consultations (2009) | Telemedicine consultations (2010) | Telemedicine consultations (2011) | Telemedicine consultations (2012) | Telemedicine consultations (2013) |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Neurosurgery | Small | 14,701 | 16,858 | 19,144 | 20,401 | 21,037 | 803 (5.46 %) | 384 (2.28 %) | 469 (2.45 %) | 274 (1.34 %) | 469 (2.23 %) |
| Rehabilitation | High | 162,434 | 174,216 | 194,161 | 203,567 | 198,229 | 389 (0.24 %) | 162 (0.09 %) | 789 (0.41 %) | 1719 (0.84 %) | 1853 (0.93 %) |
| Eye diseases | High | 228,680 | 266,363 | 287,130 | 301,316 | 311,324 | 154 (0.07 %) | 137 (0.05 %) | 231 (0.08 %) | 229 (0.08 %) | 291 (0.09 %) |
| Endocrinology | Medium | 108,866 | 117,577 | 119,423 | 125,502 | 130,146 | 16 (0.01 %) | 2 (0.00 %) | 5 (0.00 %) | 23 (0.02 %) | 26 (0.02 %) |
| Cardiovascular diseases | High | 222,183 | 228,739 | 249,516 | 260,106 | 263,619 | 152 (0.07 %) | 58 (0.03 %) | 51 (0.02 %) | 30 (0.01 %) | 42 (0.02 %) |
| Obstetrics | High | 482,661 | 502,400 | 513,143 | 508,829 | 510,189 | 102 (0.02 %) | 18 (0.00 %) | 14 (0.00 %) | 87 (0.02 %) | 71 (0.01 %) |
| Digestive diseases | Medium | 122,480 | 142,525 | 162,385 | 174,526 | 175,016 | 23 (0.02 %) | 1 (0.00 %) | 11 (0.01 %) | 31 (0.02 %) | 23 (0.01 %) |
| Pulmonary diseases | Medium | 100,842 | 112,729 | 118,963 | 121,942 | 124,625 | 16 (0.02 %) | 4 (0.00 %) | 20 (0.02 %) | 16 (0.01 %) | 16 (0.01 %) |
| Plastic surgery | Medium | 52,588 | 55,257 | 59,980 | 56,998 | 63,413 | 0 (0.00 %) | 1 (0.00 %) | 3 (0.01 %) | 0 (0.00 %) | 7 (0.01 %) |
| Kidney diseases | Medium | 53,312 | 52,288 | 54,164 | 57,058 | 58,516 | 12 (0.02 %) | 3 (0.01 %) | 3 (0.01 %) | 11 (0.02 %) | 6 (0.01 %) |
| Urology | Medium | 135,833 | 148,557 | 160,630 | 166,324 | 170,295 | 49 (0.04 %) | 9 (0.01 %) | 17 (0.01 %) | 32 (0.02 %) | 15 (0.01 %) |
| Neurology | Medium | 143,640 | 150,588 | 184,850 | 170,295 | 170,908 | 369 (0.26 %) | 12 (0.01 %) | 20 (0.01 %) | 32 (0.02 %) | 12 (0.01 %) |
| General surgery | Medium | 166,569 | 146,575 | 133,809 | 128,941 | 120,954 | 35 (0.02 %) | 10 (0.01 %) | 7 (0.01 %) | 16 (0.01 %) | 4 (0.00 %) |
| Children’s diseases | High | 212,285 | 215,727 | 198,207 | 219,036 | 218,822 | 120 (0.06 %) | 25 (0.01 %) | 5 (0.00 %) | 11 (0.01 %) | 7 (0.00 %) |
| Orthopaedic surgery | High | 647,839 | 708,595 | 739,050 | 744,014 | 782,384 | 60 (0.01 %) | 72 (0.01 %) | 76 (0.01 %) | 139 (0.02 %) | 23 (0.00 %) |
| Oncology and radiotherapy | High | 94,416 | 196,456 | 206,934 | 229,263 | 239,773 | 71 (0.08 %) | 9 (0.00 %) | 2 (0.00 %) | 6 (0.00 %) | 7 (0.00 %) |
| Skin and venereal diseases | High | 197,707 | 204,552 | 189,415 | 222,658 | 216,227 | 220 (0.11 %) | 239 (0.12 %) | 93 (0.05 %) | 9 (0.00 %) | 5 (0.00 %) |
| Gastroenterological surgery | Medium | 114,129 | 123,111 | 126,741 | 130,506 | 141,967 | 9 (0.01 %) | 4 (0.00 %) | 1 (0.00 %) | 25 (0.02 %) | 2 (0.00 %) |
| Anaesthesiology | Small | 41,515 | 44,411 | 36,567 | 47,811 | 47,342 | 2 (0.00 %) | 3 (0.01 %) | 1 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) |
| Haematology | Medium | 61,811 | 75,488 | 84,666 | 91,659 | 94,146 | 14 (0.02 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) |
| Cardiovascular surgery | Medium | 43,410 | 47,502 | 53,060 | 54,176 | 53,752 | 1 (0.00 %) | 1 (0.00 %) | 3 (0.01 %) | 4 (0.01 %) | 0 (0.00 %) |
| Ear, nose and throat diseases | High | 324,964 | 333,776 | 353,326 | 356,885 | 365,251 | 15 (0.00 %) | 9 (0.00 %) | 3 (0.00 %) | 2 (0.00 %) | 0 (0.00 %) |
| General internal medicine | Medium | 68,642 | 65,136 | 61,923 | 53,627 | 55,204 | 29 (0.04 %) | 2 (0.00 %) | 1 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) |
| Geriatrics | Small | 16,338 | 16,931 | 18,427 | 19,370 | 18,797 | 10 (0.06 %) | 0 (0.00 %) | 0 (0.00 %) | 2 (0.01 %) | 0 (0.00 %) |
| Infectious diseases | Small | 28,603 | 31,889 | 34,297 | 38,322 | 39,646 | 1 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 1 (0.00 %) | 0 (0.00 %) |
| Maxillofacial and mouth disease | Small | 29,634 | 27,554 | 26,746 | 28,005 | 29,006 | 10 (0.03 %) | 2 (0.01 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) |
| Other clinical specialities | High | 622,864 | 410,120 | 367,172 | 365,899 | 358,590 | 61 (0.01 %) | 18 (0.00 %) | 2 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) |
| Pregnancy/parathyroid surgery | Small | 2171 | 9883 | 15,717 | 17,186 | 21,182 | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) | 0 (0.00 %) |
| Rheumatology | Medium | 117,566 | 138,881 | 155,656 | 163,420 | 165,226 | 2 (0.00 %) | 1 (0.00 %) | 0 (0.00 %) | 1 (0.00 %) | 0 (0.00 %) |
| Total | 4,618,683 | 4,764,684 | 4,925,202 | 5,077,642 | 5,165,586 | 2745 (0.06 %) | 1186 (0.02 %) | 1827 (0.04 %) | 2700 (0.05 %) | 2879 (0.06 %) |
Values in brackets (%) represent the percentage of telemedicine consultations compared to the number of outpatient visits, by year and clinical specialty
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] [ | 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] [ | VC and SF | 2009 | 248 sites, more than 700 health-care providers | 700,000 | 14,000 | 20.0 |
| Ontario, Canada | [O’Gorman 2015] [ | VC and SF | 2013 | 2026 sites | 13,550,900 | 221,353 | 16.3 |
| African Francophone Telemedicine Network, Bolivia | [Vargas 2014] [ | VC and SF | 2013 | more than 20 health institutions | 200,000 | 700 | 3.5 |
| Alberta, Canada | [Ohinmaa 2006] [ | VC | 2003 | 212 sites | 3,000,000 | 5766 | 1.9 |
| Georgia, USA | [Brewer 2011] [ | VC and SF | 2009 | 51 statewide access points | 9,829,211 | 18,000 | 1.8 |
| Nebraska, USA | [Meyers 2012] [ | Mainly VC | 2010 | over 110 sites | 1,800,000 | 2600 | 1.4 |
| Western Australia | [Dillon 2005] [ | 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
Fig. 5Telemedicine activity in nine statewide networks compared to the population served. The fitted line is a sigmoid. Networks mainly using videoconferencing are shown with red symbols; networks using both videoconferencing and store-and-forward telemedicine are shown with blue symbols. The square symbol represents Norway