| Literature DB >> 35101123 |
Kei Yamamoto1, Yusuke Asai2, Issaku Nakatani3, Kenichi Hayashi4, Hidenori Nakagawa5, Koh Shinohara6, Shinichiro Kanai7, Michitsugu Shimatani8, Masaya Yamato9, Nobuyuki Shimono10, Tsuyoshi Kitaura11, Nobuhiro Komiya12, Atsushi Nagasaka13, Takahiro Mikawa14, Akihiro Manabe15, Takashi Matono16, Yoshihiro Yamamoto17, Taku Ogawa18, Satoshi Kutsuna2, Norio Ohmagari2.
Abstract
BACKGROUND: Awareness of pre-travel consultations (PTCs) and prevention methods for overseas travel-related diseases, and the understanding of PTCs among Japanese travelers and medical professionals remains low in Japan. A multicenter registry was established to examine PTCs in Japan. This study assessed the PTC implementation rate and examined the indicators of PTCs that can be used as criteria for evaluating quality.Entities:
Keywords: Health care; Japan; Pre-travel consultation; Quality indicators; Registries
Year: 2022 PMID: 35101123 PMCID: PMC8805374 DOI: 10.1186/s40794-021-00160-4
Source DB: PubMed Journal: Trop Dis Travel Med Vaccines ISSN: 2055-0936
Characteristics of the participants by age group
| All | Age 0 to 15 years | Age 16 to 64 years | Age 65 years or over | |
|---|---|---|---|---|
| Number of clients | 9700 | 880 | 8271 | 549 |
| Male (%) | 5806 (59.9) | 436 (49.5) | 5042 (61) | 328 (59.7) |
| Female (%) | 3894 (40.1) | 444 (50.5) | 3229 (39) | 221 (40.3) |
| Age, median, years [IQR] | 32 [21,45] | 6 [3,11] | 32 [23,43] | 69 [67,72] |
| Days from first consultation to travel, median, days [IQR] | 33 [17,60] | 50 [25,96] | 32 [16,57] | 35 [20,60] |
| Immunization record (%) | 4876 (50.3) | 666 (75.7) | 4113 (49.7) | 97 (17.7) |
| Request for vaccine (%) | 7793 (80.3) | 657 (74.7) | 6726 (81.3) | 410 (74.7) |
| Travel period (%) | ||||
| less than 7 days | 675 (7.3) | 14 (1.7) | 622 (7.9) | 39 (7.3) |
| 7–13 days | 2272 (24.7) | 75 (9.1) | 1936 (24.7) | 261 (48.8) |
| 14–27 days | 1468 (16) | 55 (6.6) | 1270 (16.2) | 143 (26.7) |
| 28–55 days | 811 (8.8) | 35 (4.2) | 732 (9.4) | 44 (8.2) |
| 56–181 days | 674 (7.3) | 29 (3.5) | 616 (7.9) | 29 (5.4) |
| more than 181 days | 3290 (35.8) | 620 (74.9) | 2651 (33.9) | 19 (3.6) |
| Travel purpose (%) | ||||
| Group tourism | 640 (6.6) | 26 (3.0) | 413 (5.0) | 201 (36.6) |
| Individual tourism | 1910 (19.7) | 70 (8.0) | 1681 (20.3) | 159 (29.0) |
| Business | 3930 (40.5) | 10 (1.1) | 3790 (45.8) | 130 (23.7) |
| Moving with family | 1198 (12.4) | 588 (66.8) | 602 (7.3) | 8 (1.5) |
| Migration | 26 (0.3) | 7 (0.8) | 17 (0.2) | 2 (0.4) |
| Study | 1330 (13.7) | 127 (14.4) | 1201 (14.5) | 2 (0.4) |
| Volunteer work | 472 (4.9) | 14 (1.6) | 441 (5.3) | 17 (3.1) |
| Visiting friends/relatives | 132 (1.4) | 42 (4.8) | 76 (0.9) | 14 (2.6) |
| Others | 214 (2.2) | 15 (1.7) | 167 (2.0) | 32 (5.8) |
| Most visited countries (%) | ||||
| First | USA 1118 (11.5) | USA 173 (19.7) | USA 916 (11.1) | Brazil 114 (20.8) |
| Second | Brazil 1001 (10.3) | China 101 (11.5) | Brazil 812 (9.8) | Kenya 85 (15.5) |
| Third | China 769 (7.9) | Brazil 75 (8.5) | China 662 (8.0) | Tanzania 53 (9.7) |
| Fourth | Kenya 750 (7.7) | Thailand 70 (8.0) | India 647 (7.8) | South Africa 49 (8.9) |
| Fifth | India 696 (7.2) | Indonesia 41 (4.7) | Kenya 647 (7.8) | Peru 39 (7.1) |
| Visit more than one country (%) | 1666 (17.2) | 20 (2.3) | 1471 (17.8) | 175 (31.9) |
| Visit low or lower-middle income countries included (%) | 5067 (52.2) | 252 (28.6) | 4502 (54.4) | 313 (57) |
IQR, interquartile range; USA, United States of America
Differences between the interventions that the participants wanted to use and the interventions that they actually used after the travel consultations
| Vaccines and prescriptions that the participants wanted to use themselves | Vaccines and prescriptions actually given after pre-travel consultation | *Percentage difference | **Change ratio | ||
|---|---|---|---|---|---|
| Hepatitis A vaccine | 3946 | 5655 | 17.6 | 1.43 | < 0.001 |
| Hepatitis B vaccine | 2562 | 2961 | 4.1 | 1.16 | < 0.001 |
| Rabies vaccine | 2804 | 3209 | 4.2 | 1.14 | < 0.001 |
| Vaccines containing tetanus toxoid | 3017 | 4625 | 16.6 | 1.53 | < 0.001 |
| Tdap | 151 | 597 | 4.6 | 3.95 | < 0.001 |
| DTaP | 471 | 2388 | 19.8 | 5.07 | < 0.001 |
| Typhoid fever vaccine | 1513 | 2468 | 9.8 | 1.63 | < 0.001 |
| Japanese encephalitis vaccine | 1231 | 1745 | 5.3 | 1.42 | < 0.001 |
| Meningococcal ACWY vaccine | 463 | 772 | 3.2 | 1.67 | < 0.001 |
| Meningococcal B vaccine | 8 | 32 | 0.2 | 4.00 | < 0.001 |
| Vaccines containing measles | 772 | 2012 | 12.8 | 2.61 | < 0.001 |
| Vaccines containing rubella | 682 | 2006 | 13.6 | 2.94 | < 0.001 |
| Yellow fever vaccine | 3014 | 3559 | 5.6 | 1.18 | < 0.001 |
| Prophylaxis for acute altitude sickness | 338 | 370 | 0.3 | 1.09 | < 0.05 |
| Prophylaxis for malaria | 1146 | 1252 | 1.12 | 1.10 | < 0.001 |
*Percentage difference: percentage after pretravel consultations minus that before pretravel consultations (after - before)
**Change ratio: Ratio of the number of cases after pretravel consultations to that before pretravel consultations (after/ before)
***Compared using the McNemar test
Advice given during consultations by region of travel
| All | Asia | Africa | South America | Others | Multi | |
|---|---|---|---|---|---|---|
| N (%) | 9700 | 4008 | 2593 | 1809 | 1660 | 1670 |
| Explanation of post-exposure prophylaxis for rabies | 6436 (66.4) | 3115 (77.7) | 1784 (68.8) | 1207 (66.7) | 597 (36) | 1097 (65.7) |
| How to use mosquito repellents | 6486 (66.9) | 2841 (70.9) | 2092 (80.7) | 1394 (77.1) | 457 (27.5) | 1248 (74.7) |
| Explanation of the risk of leptospirosis and/or schistosomiasis due to freshwater exposure | 2901 (29.9) | 1514 (37.8) | 740 (28.5) | 454 (25.1) | 314 (18.9) | 476 (28.5) |
| Explanation of dietary habits to avoid foodborne diseases | 5780 (59.6) | 2842 (70.9) | 1592 (61.4) | 1071 (59.2) | 507 (30.5) | 998 (59.8) |
| Avoiding traffic accidents | 3286 (33.9) | 1817 (45.3) | 626 (24.1) | 440 (24.3) | 501 (30.2) | 482 (28.9) |
| Preventive actions for acute mountain sickness | 768 (7.9) | 304 (7.6) | 121 (4.7) | 256 (14.2) | 134 (8.1) | 185 (11.1) |
| Discussing the risks and prevention of sexually transmitted diseases | 809 (8.3) | 321 (8) | 280 (10.8) | 179 (9.9) | 85 (5.1) | 198 (11.9) |
| Taking overseas travel accident insurance | 3359 (34.6) | 1436 (35.8) | 954 (36.8) | 640 (35.4) | 456 (27.5) | 596 (35.7) |
| Others | 116 (1.2) | 64 (1.6) | 18 (0.7) | 13 (0.7) | 26 (1.6) | 11 (0.7) |
Fig. 3Risk classification of typhoid fever and vaccinations administered during pre-travel consultations by each collaborated hospital. The numbers in the legend correspond to the “Hospital number.” Percentage of typhoid fever vaccination planning in clients without immunization history of typhoid fever vaccine within three years, categorized by the risk of typhoid fever. The risk categories, in order, from one to four, are the incidence of typhoid fever per 100,000 persons: “less than 20”; “20 to less than 50”; “50 to less than 100”; and “100 or more.” Cases in which typhoid fever vaccine within three years had been administered, with vaccination histories, were excluded. Of the 9333 patients included in the validation, data from 26 patients (two facilities) were excluded because they could not be classified into a risk category. * Refer to the supplementary materials for the country names (ISO 3166-1 codes, Alpha-3 code) included
Fig. 4Risk classification of mosquito-borne diseases and interventions implemented during pre-travel consultations by each collaborated hospital. The numbers in the legend correspond to the “Hospital number.”. A: The prescription rate of malaria prophylaxis in clients traveling for < 56 days is categorized by the risk of falciparum malaria. The risk categories, in order, from one to eight, are the incidence of falciparum malaria per 1000 persons: “no risk”; “less than 0.1”; “0.1 to less than 1.0”; “1.0 to less than 10”; “10 to less than 50”; “50 to less than 100”; “100 to less than 250”; and “250 or more.” Of the 5124 patients included in the validation, data from 403 patients (eight facilities) were excluded because they could not be classified into a risk category. B: Implementation of mosquito control advice about mosquito repellant, categorized by the risk of dengue fever: The risk categories, in order, from zero to three, are classified according to the reference 12 dengue risk categories: “no or unknown risk”; “risk varies based on region”; “sporadic/uncertain”; and “frequent/continuous.”. * Refer to the supplementary materials for the country names (ISO 3166-1 codes, Alpha-3 code) included
Fig. 5Catch-up immunization rate of measles-containing vaccines by age group in each facility. The numbers in the legend correspond to the “Hospital number.” Data with no more than five applicable cases in each category were excluded from the figure without calculating the percentage. A: Catch-up immunization rates of measles-containing vaccines by age group among participants without vaccination records (4643 patients were included in the validation). B: Catch-up immunization rates of measles-containing vaccines by age group among participants with vaccination records who have received none or one measles-containing vaccine (2551 patients included in the validation). C: Association between catch-up immunization rates among participants without vaccination records and subjects with vaccination records that require catch-up measles-containing vaccines