Study | Country | Type of Providers | N Providers | % Female | N Patients | Mean (SD) consultation time (min) | Mean CARE score (SD) |
---|---|---|---|---|---|---|---|
Aomatsu (2014) | Japan | Physicians/Primary Care | 9 | N/A | 272 | 17.2 (14.3) | 38.4 (8.6) |
Attar (2012) | India | Physicians/Specialists | N/A | 1.00 | 53 | N/A | 29.4 (10.9) |
Bikker (2005) | UK | Physicians/CAM | 9 | N/A | 187 | 50.1 (14.0) | 45.0 (7.0) |
Bikker (2015) | UK | Nurses | 17 | N/A | 774 | 13.0 (7.6) | 45.9 (5.9) |
Birhanu (2012) | Ethiopia | Mixed | N/A | N/A | 768 | 6.3 (2.6) | 31.3 (8.3) |
Buecken (2012) | Germany | Physicians/Specialists | N/A | N/A | 541 | N/A | 39.9 (9.1) |
Chen (2015) | Hong Kong | Medical Students | 158 | 0.39 | 9 | 15.0 (N/A) | 35.8 (7.3) |
Chung (2012) | South Korea | Physicians/CAM | 1 | 0.00 | 143 | 5.0 (N/A) | 38.0 (6.9) |
Chung, Yip (2016) | Hong Kong | TCM practitioners | N/A | N/A | 514 | N/A | 34.2 (8.1) |
Fogarty (2013) | Australia | TCM practitioners | 1 | 1.00 | 18 | 60.0 (N/A) | 49.8 (0.6) |
Fritzsche (2011a) | China | Physicians/Specialists | 2 | N/A | 28 | N/A | 45.0 (5.2) |
Fritzsche (2011b) | China | Physicians/Specialists | 5 | N/A | 37 | N/A | 36.7 (7.7) |
Fritzsche (2011c) | China | Physicians/CAM | 4 | N/A | 31 | N/A | 42.9 (7.3) |
Fung (2009) | Hong Kong | Physicians/Primary Care | 13 | N/A | 228 | 5.7 (3.9) | 31.8 (8.9) |
Griffin (2014a) | UK | Physicians/Primary Care | N/A | N/A | 444 | N/A | 39.7 (9.9) |
Griffin (2014b) | UK | Nurses | N/A | N/A | 444 | N/A | 30.4 (9.5) |
Gu (2015) | Hong Kong | N/A | 332 | N/A | 332 | N/A | 31.0 (9.3) |
Hanzevacki (2015) | Croatia | Physicians/Primary Care | 8 | N/A | 568 | 6.8 (N/A) | 35.9 (4.2) |
Jani (2012) | UK | Physicians/Primary Care | 47 | N/A | 163 | 9.5 (4.5) | 43.8 (6.9) |
Johnson (2012) | UK | Mixed | 21 | N/A | 1103 | N/A | 45.2 (6.2) |
Johnston (2015) | UK | Mixed | 17 | N/A | 30 | N/A | 39.9 (8.7) |
Joice (2010) | UK | Psychotherapist | N/A | N/A | 141 | N/A | 39.0 (8.0) |
Kersten (2012) | UK | TCM practitioners | N/A | N/A | 213 | N/A | 42.2 (6.8) |
Lafreniere (2015) | US | Physicians/Specialists | 44 | 0.57 | 244 | 41.2 (23.4) | 44.6 (6.7) |
LaVela (2015) | US | Physicians/Specialists | N/A | N/A | 389 | N/A | 40.1 (9.9) |
Lee (2012) | South Korea | Physicians/CAM | 1 | 0.00 | 110 | N/A | 36.0 (8.4) |
Lelorain (2015) | France | Physicians/Specialists | 28 | N/A | 201 | 26.0 (14.0) | 38.4 (8.9) |
MacPherson (2003) | UK | TCM practitioners | N/A | N/A | 135 | N/A | 45.5 (6.7) |
Menendez (2015) | US | Physicians/Specialists | 4 | N/A | 112 | 11.0 (7.0) | 46.0 (6.8) |
Mercer (2004) | UK | Physicians/Primary Care | N/A | N/A | 10 | N/A | 39.2 (10.8) |
Mercer (2005) | UK | Physicians/Primary Care | 26 | N/A | 3044 | N/A | 40.9 (8.8) |
Mercer (2008a) | UK | Physicians/Primary Care | 5 | 0.60 | 323 | 10.0 (N/A) | 42.4 (8.1) |
Mercer (2008b) | UK | Physicians/Specialists | 31 | N/A | 1582 | N/A | 43.8 (6.6) |
Mercer (2008c) | UK | Physicians/Specialists | 25 | N/A | 1015 | N/A | 43.5 (7.4) |
Mercer (2011) | Hong Kong | Physicians/Primary Care | 20 | 0.30 | 984 | 5.5 (2.9) | 34.6 (8.8) |
Murphy (2013a) | UK | Allied health professionals | N/A | N/A | 13 | N/A | 43.4 (7.4) |
Murphy (2013b) | UK | Physicians/Primary Care | N/A | N/A | 86 | N/A | 43.9 (7.6) |
Neumann (2007) | Germany | Physicians/Specialists | N/A | N/A | 326 | N/A | 37.1 (11.1) |
Nezenega (2013) | Ethiopia | Mixed | N/A | N/A | 531 | 7.1 (4.4) | 35.9 (8.5) |
Ohm (2013) | Germany | Medical Students | 30 | 0.73 | 5 | N/A | 41.3 (6.3) |
Parrish (2016) | US | Physicians/Specialists | 5 | N/A | 112 | 10.0 (5.6) | 43.0 (8.0) |
Place (2016a) | UK | Allied health professionals | Â | N/A | 53 | N/A | 45.7 (5.1) |
Place (2016b) | UK | Allied health professionals | Â | N/A | 217 | N/A | 46.3 (5.6) |
Pollak (2015) | US | Physicians/Specialists | 2 | N/A | 21 | N/A | 46.0 (4.2) |
Price (2006) | UK | TCM practitioners | 15 | N/A | 52 | N/A | 42.4 (6.9) |
Price (2008) | UK | Physicians/Primary Care | 35 | N/A | 2550 | 10.2 (5.5) | 43.2 (7.7) |
Quaschning (2013) | Germany | Mixed | N/A | N/A | 402 | N/A | 41.5 (7.3) |
Rees (2014) | UK | Allied health professionals | N/A | N/A | 225 | N/A | 43.1 (7.8) |
Scales (2008) | US | Allied health professionals | 1 | N/A | 411 | N/A | 47.6 (4.4) |
Scarpellini (2014) | Brazil | Physicians/Specialists | 12 | N/A | 12 | N/A | 41.4 (6.0) |
Scheffer (2013a) | Germany | Medical Students | N/A | N/A | 103 | N/A | 45.4 (5.5) |
Scheffer (2013b) | Germany | Medical Students | N/A | N/A | 94 | N/A | 41.7 (9.0) |
Steinhausen (2014) | Germany | Physicians/Specialists | N/A | N/A | 120 | N/A | 38.0 (9.8) |
Tran (2012) | Australia | Physicians/Primary Care | 3 | N/A | 38 | 15.0 (4.0) | 43.4 (4.2) |
Weiss (2015) | UK | Mixed | 51 | 0.69 | 207 | N/A | 43.0 (7.4) |
Wong (2013) | Hong Kong | Physicians/Primary Care | 9 | N/A | 1030 | 7.7 (4.7) | 34.4 (7.8) |
Wu (2015a) | China | Physicians/Specialists | N/A | N/A | 199 | N/A | 39.6 (8.3) |
Wu (2015b) | China | Physicians/CAM | N/A | N/A | 146 | N/A | 41.2 (8.6) |
Wu (2015c) | China | Physicians/Specialists | N/A | N/A | 139 | N/A | 38.4 (8.7) |
Yu (2015a) | Hong Kong | Physicians/not specified | 6 | 0.33 | 179 | 4.5 (2.4) | 29.2 (7.4) |
Yu (2015b) | Hong Kong | Physicians/Specialists | 7 | 0.57 | 207 | 10.5 (8.6) | 35.5 (8.9) |
Yu (2015c) | Hong Kong | Physicians/Primary Care | 14 | 0.50 | 435 | 7.4 (4.8) | 35.7 (8.3) |
Zilliacus (2011a) | Australia | Physicians/Specialists | N/A | N/A | 178 | N/A | 41.3 (9.6) |
Zilliacus (2011b) | Australia | Genetic Counselor | N/A | N/A | 152 | N/A | 44.6 (7.8) |