| Literature DB >> 28797080 |
Yoona A Kim1, Sam Trinh1, Si Thura2, Khin Pyone Kyi3, Thomas Lee2,4, Stan Sze5, Adam Richards6, Andrew Aronsohn7, Grace L H Wong8, Yasuhito Tanaka9, Geoffrey Dusheiko10, Mindie H Nguyen1,2.
Abstract
BACKGROUND: In Myanmar, over five million people are infected with hepatitis B virus (HBV) and hepatitis C virus (HCV). Hepatitis has been a recent focus with the development of a National Strategic Plan on Hepatitis and plans to subsidize HCV treatment.Entities:
Mesh:
Year: 2017 PMID: 28797080 PMCID: PMC5552252 DOI: 10.1371/journal.pone.0181603
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Participant demographics.
| Characteristic | n (%) | |
|---|---|---|
| Male | 22 (46.8%) | |
| Female | 25 (53.2%) | |
| 20–30 years | 14 (29.8%) | |
| 31–40 years | 10 (21.3%) | |
| 41–50 years | 13 (27.7%) | |
| 51–60 years | 2 (4.3%) | |
| 61–65 years | 5 (10.6%) | |
| 66–70 years | 3 (6.4%) | |
| ≥ 71 years | 0 (0%) | |
| 0–5 years | 17 (43.6%) | |
| 5–10 years | 7 (18.0%) | |
| 11–20 years | 8 (20.5%) | |
| >20 years | 7 (18.0%) | |
| None | 2 (4.6%) | |
| <25% | 10 (22.7%) | |
| 25–50% | 15 (34.1%) | |
| 51–75% | 14 (31.8%) | |
| 75–100% | 3 (6.8%) | |
| None | 12 (26.1%) | |
| <25% | 17 (37.0%) | |
| 25–50% | 8 (17.4%) | |
| 50–75% | 3 (6.5%) | |
| 75–100% | 6 (13.0%) | |
| None | 7 (15.2%) | |
| <25% | 19 (41.3%) | |
| 25–50% | 13 (28.3%) | |
| 50–75% | 5 (10.9%) | |
| 75–100% | 2 (4.4%) | |
| Family Medicine | 1 (2.2%) | |
| Internal Medicine | 10 (22.2%) | |
| Gastroenterology | 0 (0%) | |
| Hepatology | 5 (11.1%) | |
| Infectious Disease | 5 (11.1%) | |
| OB/GYN | 0 (0%) | |
| Pediatrics | 1 (2.2%) | |
| Other | 17 (37.8%) | |
| 6 (13.3%) | ||
| Internal + Hepatology | 1 (2.2%) | |
| Internal + Other | 2 (4.4%) | |
| Gastroenterology + Hepatology | 1 (2.2%) | |
| Hepatology + Infectious Disease | 1 (2.2%) | |
| Gastroenterology + Hepatology + Other | 1 (2.2%) | |
| Referral government hospital | 6 (13.3%) | |
| General government hospital | 30 (66.7%) | |
| Referral private hospital | 0 (0%) | |
| General private hospital | 1 (2.2%) | |
| Referral public clinic | 0 (0%) | |
| General primary care public clinic | 0 (0%) | |
| Referral private clinic | 0 (0%) | |
| General practice private clinic | 6 (13.3%) | |
| 2 (4.4%) | ||
| [Referral + General government hospital + General private clinic] | 1 (2.2%) | |
| [Referral + General government hospital] | 1 (2.2%) | |
| Yes–university on campus/trainees involved | 23 (50.0%) | |
| Yes–university unattached/trainees not involved | 4 (8.7%) | |
| Not affiliated | 19 (41.3%) | |
| ≥500 bed hospital | 4 (8.7%) | |
| 300–500 bed hospital | 1 (2.2%) | |
| 100–300 bed hospital | 5 (10.9%) | |
| ≤100 bed hospital | 4 (8.7%) | |
| Does not work in the hospital | 32 (69.6%) | |
| Single physician clinic | 10 (22.7%) | |
| 2–5 physician clinic | 6 (13.6%) | |
| 6–10 physician clinic | 4 (9.1%) | |
| ≥11 physician clinic | 10 (22.7%) | |
| Does not work in the clinic | 14 (31.8%) | |
| Yangon | 31 (72.1%) | |
| Other large cities (>100,000 population) | 7 (16.3%) | |
| Small cities (<100,000 population) | 3 (7.0%) | |
| Rural | 2 (4.7%) | |
| <10 | 26 (74.3%) | |
| 11–30 | 2 (5.7%) | |
| 31–50 | 1 (2.9%) | |
| 51–75 | 0 (0%) | |
| 76–100 | 1 (2.9%) | |
| 101–150 | 2 (5.7%) | |
| >150 | 3 (8.6%) | |
Physician’s level of comfort managing and monitoring patients with liver disease.
| Not comfortable | 5 (10.9%) |
| Somewhat comfortable | 7 (15.2%) |
| Neutral | 13 (28.3%) |
| Comfortable | 18 (39.1%) |
| Very comfortable | 3 (6.5%) |
| Not comfortable | 13 (31.7%) |
| Somewhat comfortable | 9 (22.0%) |
| Neutral | 8 (19.5%) |
| Comfortable | 9 (22.0%) |
| Very comfortable | 2 (4.9%) |
| Not comfortable | 4 (15.4%) |
| Somewhat comfortable | 4 (15.4%) |
| Neutral | 9 (34.6%) |
| Comfortable | 7 (26.9%) |
| Very comfortable | 3 (7.7%) |
| Not comfortable | 7 (20.6%) |
| Somewhat comfortable | 5 (14.7%) |
| Neutral | 10 (29.4%) |
| Comfortable | 7 (20.6%) |
| Very comfortable | 5 (14.7%) |
| Not comfortable | 14 (35.0%) |
| Somewhat comfortable | 9 (22.5%) |
| Neutral | 12 (30.0%) |
| Comfortable | 4 (10.0%) |
| Very comfortable | 1 (2.5%) |
| Not comfortable | 8 (18.2%) |
| Somewhat comfortable | 4 (9.1%) |
| Neutral | 5 (11.4%) |
| Comfortable | 23 (52.3%) |
| Very comfortable | 4 (9.1%) |
| Not comfortable | 2 (5.7%) |
| Somewhat comfortable | 5 (14.3%) |
| Neutral | 13 (37.1%) |
| Comfortable | 13 (37.1%) |
| Very comfortable | 2 (5.7%) |
| Not comfortable | 16 (40.0%) |
| Somewhat comfortable | 4 (10.0%) |
| Neutral | 1 (27.5%) |
| Comfortable | 8 (20.0%) |
| Very Comfortable | 1 (2.5%) |
| Not aware | 4 (8.5%) |
| Somewhat aware | 9 (19.2%) |
| Aware | 24 (51.1%) |
| Very aware | 10 (21.3%) |
Hepatitis knowledge score (% correct answers on knowledge-based questions).
| Parameter | Mean % Correct ± Standard Deviation |
|---|---|
| Overall score (n = 76) | 35.4 ± 22.1 |
| Overall score (n = 55) | 43.0 ± 18.5 |
| HBV (n = 66) | 31.8 ± 19.1 |
| HCV (n = 47) | 39.0 ± 26.4 |
| Special populations (n = 60) | 50.0 ± 17.6 |
| Cirrhosis (n = 66) | 36.5 ± 20.7 |
Fig 1Perceived barriers to liver disease management.
Fig 2Barriers to HBV and HCV disease management.
Fig 3Physician education choices for liver disease management.
Fig 4Preferred physician interventions to improve education and screening for liver disease management.