| Literature DB >> 31647001 |
Sophie Tran1,2, Gabrielle Bennett3,4, Jacqui Richmond3,4,5, Tin Nguyen3,4, Marno Ryan3,4, Thai Hong3,4, Jessica Howell3,4, Barbara Demediuk3,4, Paul Desmond3,4, Sally Bell3,4, Alexander Thompson6,7.
Abstract
BACKGROUND: The low diagnosis rate and poor access to clinical care among people with CHB is a major barrier to reducing HBV-related morbidity and mortality in Australia. One explanation for this is a lack of disease-specific knowledge among people living with CHB. Health literacy has been shown to be important for maximising engagement with medical care and adherence to recommended management. The 'teach-back' communication strategy has been shown to improve patient understanding in other clinical areas. This study aims to assess disease-specific knowledge; and evaluate the efficacy of the teach-back strategy for improving HBV knowledge, compared to a standard medical consultation.Entities:
Keywords: Cirrhosis; Communication; Education; HBV; Health literacy; Liver; Teach-back; This study has been retrospectively registered with the Australian and New Zealand Trials Registry on 29th March 2019 - ACTRN12619000512123.
Year: 2019 PMID: 31647001 PMCID: PMC6813056 DOI: 10.1186/s12889-019-7658-4
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Sociodemographic features of the study cohort
| Sociodemographic characteristics | Control | Teach-back | Overall | ||
|---|---|---|---|---|---|
| Age (years) | |||||
| Mean ± SD | 42.5 ± 11.8 | 43.2 ± 13.2 | 42.9 ± 12.5 | 0.80 | |
| Gender | |||||
| Male | 18 (56) | 21 (55) | 39 (56) | 0.93 | |
| Female | 14 (44) | 17 (45) | 31 (44) | ||
| Region of Birth* | |||||
| Australia | 2 (6) | 7 (18) | 9 (13) | 0.51 | |
| South-East Asiaa | 16 (50) | 17 (45) | 33 (47) | ||
| North Asiab | 10 (31) | 10 (26) | 20 (29) | ||
| Otherc | 4 (12) | 4 (11) | 8 (11) | ||
| Time spent in Australia (years) | |||||
| Mean ± SD | 21.9 ± 10.4 | 23.6 ± 11.3 | 22.8 ± 10.9 | 0.51 | |
| Refugee Camp | 5 (15) | 5 (13) | 10 (14) | 0.99 | |
| Education level | |||||
| Primary/Secondary | 7 (22) | 12 (32) | 19 (27) | 0.36 | |
| Tertiary | 25 (78) | 26 (68) | 51 (73) | ||
| Self-rated English proficiency | |||||
| Limited-Good | 20 (62) | 16 (42) | 36 (51) | 0.089 | |
| Very Good | 12 (38) | 22 (58) | 34 (49) | ||
| Occupational status | |||||
| Employed (full-time) | 18 (56) | 24 (63) | 42 (60) | 0.78 | |
| Employed (part-time) | 5 (16) | 6 (16) | 11 (16) | ||
| Other | 9 (28) | 8 (21) | 17 (23) | ||
| Time since diagnosis (years) | |||||
| Mean ± SD | 12.4 ± 8.7 | 14.4 ± 10.2 | 13.5 ± 10.9 | 0.39 | |
| Time since intial consultation at SVHM (years) | |||||
| Mean ± SD | 7.9 ± 7.2 | 6.5 ± 5.8 | 7.2 ± 6.5 | 0.38 | |
| Cirrhosis | 1 (3) | 1 (3) | 2 (2.8) | 0.99 | |
| Treatment | |||||
| Current | 21 (66) | 17 (45) | 38 (54) | 0.15 | |
| Previous | 2 (6) | 7 (18) | 9 (13) | ||
| Never | 9 (28) | 14 (37) | 23 (33) | ||
*Regions of birth were as follow:
aSouth-East Asia: Vietnam, Malaysia, Thailand, Indonesia, Philippines, Myanmar, Brunei, East Timor
bNorth Asia: China, Hong Kong, Taiwan, South Korea, Japan
cOther: France, Macedonia, India, Sudan, Mali, Pakistan, Papua New Guinea, Mauritius
Baseline Knowledge - Proportion of participants correctly answered HBV questions
| Questions | Control | Teach-back | Overall |
|---|---|---|---|
| Transmission routes | |||
| By having unprotected sex with a person with hepatitis B (true) | 26 (81) | 30 (79) | 56 (80) |
| Through mother to child at birth (true) | 29 (91) | 28 (74) | 57 (81) |
| By touching a person with hepatitis B (false) | 31 (97) | 35 (92) | 66 (94) |
| By kissing a person with hepatitis B (false) | 21 (66) | 21 (55) | 42 (60) |
| By eating food prepared and cooked by a person with hepatitis B (false) | 27 (84) | 30 (79) | 57 (81) |
| Through the air when a person with hepatitis B coughs or sneezes (false) | 26 (81) | 36 (95) | 62 (89) |
| By sharing eating utensils (false) | 17 (53) | 23 (61) | 40 (57) |
| By sharing toothbrushes or razor blades (true) | 28 (88) | 31 (82) | 59 (84) |
| By sharing injecting equipments, e.g. Needles used in acupuncture, tattooing, body piercing or drug use (true) | 32 (100) | 37 (97) | 69 (99) |
| Natural history | |||
| Hepatitis B can cause liver damage (true) | 32 (100) | 38 (100) | 70 (100) |
| Hepatitis B can cause liver cancer (true) | 29 (91) | 33 (87) | 62 (89) |
| Most people infected with hepatitis b have no symptoms (true) | 25 (78) | 28 (74) | 53 (76) |
| People with hepatitis B can be infected for life (true) | 29 (91) | 36 (95) | 65 (93) |
| Alcohol further damages the liver for people with hepatitis B (true) | 31 (97) | 35 (92) | 66 (94) |
| Epidemiology and prevention | |||
| Asians are more likely to be infected with hepatitis B than other people (true) | 22 (69) | 24 (63) | 46 (66) |
| There is a vaccination to prevent hepatitis B (true) | 28 (88) | 35 (92) | 63 (90) |
| Washing hands before eating prevents getting hepatitis B (false) | 19 (59) | 21 (55) | 40 (57) |
| People with hepatitis B should use condoms when having sex (true) | 30 (94) | 31 (82) | 61 (87) |
| People with hepatitis B should tell their family members to get tested (true) | 32 (100) | 38 (100) | 70 (100) |
| Clinical management | |||
| Hepatitis B can be cured (false) | 20 (63) | 23 (61) | 43 (61) |
| There are effective treatments for hepatitis B (true) | 28 (88) | 34 (90) | 62 (89) |
| Hepatitis B can be cured by taking traditional Chinese medicine (false) | 31 (97) | 32 (84) | 61 (87) |
| Healthy people with hepatitis B do not need regular check-up (false) | 31 (97) | 33 (87) | 64 (91) |
Regression analysis of association between HBV knowledge scores and sociodemographic features
| Sociodemographic characteristics | Mean Total knowledge score (SD) | Beta co-efficient (95% CI) | Beta co-efficient (95% CI) | |||
|---|---|---|---|---|---|---|
| Univariable analysis | Multivariable analysis | |||||
| Gender | ||||||
| Male | 39 (56) | 18.9 (2.4) | ||||
| Female | 31 (44) | 19.3 (2.5) | 0.075 (−0.80, 1.52) | 0.54 | ||
| Age | ||||||
| > 35 | 49 (70) | 18.7 (2.4) | ||||
| ≤ 35 | 21 (30) | 20 (2.3) | 0.26 (0.13, 2.57) | 0.031 | 1.06 (−1.53–2.27) | 0.086 |
| Birth Region | ||||||
| Australia/Europe | 11 (16) | 18.9 (2.2) | ||||
| Asia | 54 (77) | 19.2 (2.4) | −0.051 (− 1.85, 1.23) | 0.69 | ||
| Others | 5 (7) | 17.6 (3.4) | 0.25 (−1.66, 4.28) | 0.36 | ||
| Time spent in Australia | ||||||
| ≤ 15 years | 21 (30) | 19.2 (2.7) | ||||
| > 15 years | 49 (70) | 19.0 (2.3) | 0.037 (−1.07, 1.45) | 0.76 | ||
| Refugee Camp | ||||||
| Yes | 10 (14) | 18.4 (2.2) | ||||
| No | 60 (86) | 19.1 (2.5) | 0.078 (−1.11, 2.18) | 0.52 | ||
| Education level | ||||||
| Secondary and under | 19 (27) | 18.4 (2.2) | ||||
| Tertiary | 51 (73) | 19.3 (2.5) | 0.15 (−0.49, 2.09) | 0.22 | ||
| Self-rated English Proficiency | ||||||
| Limited-good | 36 (51) | 18.3 (2.7) | ||||
| Very good | 34 (49) | 19.9 (1.8) | 0.34 (0.52, 2.70) | 0.005 | 1.36 (0.26–2.45) | 0.016 |
| Occupational Status | ||||||
| Employed (full time) | 42 (60) | 18.8 (2.3) | ||||
| Other | 28 (40) | 19.5 (2.6) | −0.15(−1.91, 0.43) | 0.21 | ||
| Time since diagnosis (years) | ||||||
| ≤ 10 years | 41 (59) | 19.0 (2.0) | ||||
| > 10 years | 29 (41) | 19.1 (2.7) | −0.008 (−1.21, 1.14) | 0.95 | ||
| Time since initial consult at SVHM | ||||||
| ≤ 5 year | 14 (20) | 19.3 (1.9) | ||||
| > 5 year | 56 (80) | 19.0 (2.5) | 0.048 (−1.16, 1.73) | 0.69 | ||
| Treatment | ||||||
| Never | 23 (32) | 18.5 (3.1) | ||||
| Current/Previous | 47 (68) | 19.3 (1.9) | 0.17 (−0.35, 2.08) | 0.16 | 1.16 (0.01–2.31) | 0.047 |
Comparison of knowledge scores according to domain
| Domain | Mean ± SD | Mean ± SD | |||
|---|---|---|---|---|---|
| Control | Teach-back | ||||
| Transmission | Baseline | 7.4 ± 1.3 | > 0.99 | 7.1 ± 1.6 | < 0.001 |
| Early recall | 7.4 ± 1.3 | 8.9 ± 0.4 | |||
| Natural history | Baseline | 4.6 ± 0.7 | 0.03 | 4.5 ± 0.8 | < 0.001 |
| Early recall | 4.8 ± 0.5 | 5.0 ± 0.0 | |||
| Epidemiology & Prevention | Baseline | 4.1 ± 0.6 | > 0.99 | 3.9 ± 0.7 | < 0.001 |
| Early recall | 4.1 ± 0.6 | 4.8 ± 0.5 | |||
| Clinical Management | Baseline | 3.4 ± 0.7 | 0.68 | 3.2 ± 0.9 | < 0.001 |
| Early recall | 3.3 ± 0.9 | 3.8 ± 0.5 |
Comparison of knowledge scores at 1-month post-intervention
| Median (IQR) Control | Median (IQR) Teach-back | |||
|---|---|---|---|---|
| Baseline | 19.5 (18.25,21) | 0.65 | 19 (17.75,20) | < 0.001 |
| Late recall | 19 (18,21.75) | 22 (21,23) | ||
| Early recall | 20 (18,21) | 0.72 | 23 (22,23) | 0.03 |
| Late recall | 19 (18,21.75) | 22 (21, 23) |