| Literature DB >> 24279604 |
Jean H Kim1, Elizabeth M S Kwong, Vincent C H Chung, John C O Lee, Terry Wong, William B Goggins.
Abstract
BACKGROUND: Although over-the-counter traditional Chinese herbal medicine (COTC) is commonly used to treat everyday illness in many parts of the world, no population-based study has been done to examine the prevalence and factors associated with COTC-related adverse events.Entities:
Mesh:
Substances:
Year: 2013 PMID: 24279604 PMCID: PMC4222756 DOI: 10.1186/1472-6882-13-336
Source DB: PubMed Journal: BMC Complement Altern Med ISSN: 1472-6882 Impact factor: 3.659
Figure 1Study recruitment.
Characteristics of the study respondents
| Gender | | | 0.284 | | |
| Male | 46.3% | 49.8% | | 47.3% (44.3-50.2) | 46.6%a |
| Female | 53.7% | 50.2% | | 52.7% (49.9-55.7) | 53.4% |
| Age group | | | 0.782 | | |
| 18 – 24 y | 10.0% | 9.0% | | 9.7% (8.0-11.5) | 10.2%a |
| 25 – 34 y | 18.4% | 21.5% | | 19.3% (16.9-21.6) | 18.2% |
| 35 – 44 y | 19.5% | 18.0% | | 19.1% (16.8-21.4) | 19.0% |
| 45 – 54 y | 22.1% | 20.3% | | 21.5% (19.1-24.0) | 21.6% |
| 55 – 64 y | 15.3% | 14.8% | | 15.2% (13.1-17.3) | 15.4% |
| 65 y or above | 14.7% | 16.4% | | 15.2% (13.9-17.3) | 15.6% |
| Education | | | 0.627 | | |
| No formal schooling/Primary | 15.9% | 16.8% | | 16.2% (13.9-18.3) | 25.4%b |
| Secondary 1 - 7 | 55.5% | 57.6% | | 56.1% (52.8-58.7) | 51.5% |
| At least some post-secondary | 28.6% | 25.7% | | 27.6% (24.9-30.2) | 22.9% |
| Household income (1 USD = 7.8 HKD) | | | < 0.001 | | |
| < 15000 HKD/month | 22.5% | 31.6% | | 25.1% (22.3-27.8) | 43.1%b |
| 15000 – 29999 HKD/month | 46.2% | 33.8% | | 42.8% (39.7-45.9) | 30.0% |
| > 30000 HKD/month | 31.2% | 34.6% | | 32.2% (29.2-35.1) | 26.9% |
| Employment status | | | 0.402 | | |
| Employed at least part-time | 51.2% | 50.0% | | 50.9% (47.9-53.8) | 52.1%c |
| Homemaker | 25.0% | 22.6% | | 24.3% (21.8-26.8) | 18.5% |
| Other (student, unemployed, retired) | 23.8% | 27.4% | | 24.9% (29.2-35.1) | 29.0% |
| Health insurance | | | | | |
| Have health insurance | 52.3% | 48.5% | 0.263 | 51.2% (48.2-54.1) | NA |
| Self-perceived health status | | | <0.001 | | |
| Very good/Good | 49.1% | 55.2% | | 50.8% (47.8-53.7) | NA |
| About average | 46.8% | 38.5% | | 44.5% (41.5-47.4) | |
| Bad/Very bad | 4.0% | 6.5% | | 4.8% (3.5-6.0) | |
| COTC-related adverse event history | | | | | |
| Reported past year adverse event | 3.2% | NA | | 2.3% (1.3-3.1) | NA |
| Correct response to COTC knowledge items (correct answer in parentheses) | | | | ||
| Cannot cause long term bodily damage (No) | 24.0% | 19.0% | 0.09 | 22.7% (20.2-25.2) | NA |
| Can negatively interact w/western drugs (Yes) | 80.5% | 77.5% | 0.224 | 79.5% (77.1-81.9) | NA |
| Can have interactions with herbal TCM (Yes) | 51.6% | 41.8% | 0.003 | 48.9% (45.9-51.8) | NA |
| COTC may have side effects (Yes) | 73.9% | 66.9% | 0.984 | 71.9% (69.2-74.5) | NA |
| Used only for acute illness (e.g. flu) (No) | 45.3% | 47.9% | 0.443 | 47.2% (44.2-50.1) | NA |
| Overdose is possible (Yes) | 53.3% | 53.2% | 0.982 | 53.3% (50.3-56.2) | NA |
a2011 Hong Kong Census provisional figures; b2006 Hong Kong Population By-Census; c2004 Hong Kong Population Health Survey; NA = Not available.
COTC-related perceptions and preventive practices among users (n=789)
| | Agree | Not sure | Disagree |
| Perceived benefits | |||
| At least as effective as western drugs | 31.9% | 22.8% | 45.2% |
| Less side effects than western drug | 69.1% | 15.7% | 15.2% |
| Cheaper than western drug | 37.4% | 18.8% | 43.9% |
| Help reduce medical costs | 42.1% | 17.9% | 39.9% |
| Safer than western drugs | 39.4% | 21.3% | 39.3% |
| Helps people to stay healthy | 54.9% | 21.4% | 23.6% |
| Perceived severity | | | |
| COTC poisoning is more serious than for western drugs* | 34.2% | 42.7% | 22.9% |
| COTC poisoning due to drug interaction could be fatal | 82.8% | 12.0% | 5.2% |
| COTC overdose could result in hospitalization | 87.5% | 7.7% | 4.8% |
| Perceived susceptibility | | | |
| Easy to misuse COTC due to unclear instruction | 33.8% | 5.9% | 60.4% |
| I am likely to experience COTC-related side effects | 9.9% | 8.4% | 81.7% |
| I am likely to experience drug interactions with COTC | 37.6% | 24.8% | 37.6% |
| Government has adequate regulation for COTC safety* | 15.0% | 20.6% | 64.5% |
| Perceived barriers | | | |
| Making TCM doctor appointments for COTC advice is inconvenient | 27.2% | 31.7% | 41.1% |
| TCM prescriptions are expensive | 36.9% | 25.5% | 37.6% |
| Easy to find COTC information on the internet | 16.2% | 62.4% | 21.4% |
| Physicians do not have reliable knowledge about COTC | 71.8% | 16.9% | 11.3% |
| Pharmacists do not have reliable COTC knowledge | 65.3% | 17.8% | 16.9% |
| COTC package instructions are inadequate or unclear | 42.9% | 18.1% | 39.0% |
| Preventive practices** | Habitually | Occasionally | Never |
| Read COTC labels | 66.8% | 24.0% | 9.3% |
| Read COTC package inserts | 55.9% | 32.0% | 12.2% |
| Ask COTC information from retailers | 13.2% | 35.7% | 51.1% |
| Search online for COTC information | 3.9% | 15.6% | 80.5% |
| Ask Western MDs or pharmacists about COTC use | 3.3% | 12.6% | 84.2% |
| Tell their medical doctor about TCM use | 33.2% | 20.6% | 46.2% |
| Asked TCM practitioner about COTC | 8.1% | 22.0% | 69.9% |
*Item not included in summative scale score due to low item-total correlation.
**Original 5-point Likert responses were recoded as: Habitually (Always or Often), Occasionally (Sometimes or Seldom) and Never due to small cell counts.
Comparison of COTC users (n = 789) who reported adverse events compared with those who did not report adverse events (AE)
| Conditions for past year COTC use | % (95% CI) | % (95% CI) | | % (95% CI) |
| Cold/Flu | 64.0% (43.8-84.2) | 53.7% (50.1-57.2) | 0.308 | 54.0% (50.5-57.5) |
| GI/Digestive problems | 44.0% (23.1-64.9) | 44.0% (40.8-47.9) | 0.971 | 44.0% (40.3-47.2) |
| Musculoskeletal pains | 76.0% (58.0-94.0) | 42.7% (39.2-46.2) | 0.001 | 43.9% (40.3-47.2) |
| “Qi” (氣) imbalancesa | 32.0% (12.3-51.7) | 23.4% (20.4-26.4) | 0.321 | 23.7% (20.7-26.7) |
| General health enhancement | 20.0% (3.1-36.9) | 13.5% (11.1-15.9) | 0.351 | 13.7% (11.3-16.1) |
| Sleep problems | 20.0% (3.1-36.9) | 4.8% (3.3-6.4) | 0.001 | 5.3% (3.8-6.9) |
| Skin and hair problems | 8.0% (0.0-19.4) | 4.1% (2.7-5.5) | 0.333 | 4.3% (2.8-5.6) |
| Treating open wounds | 8.0% (0.0-19.4) | 3.8% (2.4-5.2) | 0.287 | 4.1% (2.6-5.3) |
| Chronic respiratory problems | 0.0% (0.0-0.0) | 3.5% (2.2-4.8) | 0.339 | 3.5% (2.2-4.7) |
| Slimming/Weight loss | 8.0% (0.0-19.4) | 0.9% (0.2-1.6) | 0.001 | 1.1% (0.4-1.9) |
| Blood Pressure/heart conditions | 4.0% (0.0-12.3) | 0.4% (0.0-0.8) | 0.012 | 0.5% (0.0-1.0) |
| Improving mental functioning/memory | 8.0% (0.0-19.4) | 0.0% (0.0-0.0) | <0.001 | 0.3% (0.0-0.6) |
| Sexual health/reproductive conditions | 0.0% (0.0-0.0) | 0.4% (0.0-0.8) | 0.754 | 0.4% (0.0-0.8) |
| Vision problems | 0.0% (0.0-0.0) | 0.3% (0.0-0.6) | 0.798 | 0.3% (0.0-0.6) |
| All other conditionsb | 4.0% (0.0-12.3) | 1.7% (0.8-2.6) | 0.392 | 1.8% (0.9-2.7) |
| Usual source(s) of COTC information | | | | |
| TV | 24.0% (6.0-42.0) | 7.6% (5.7-9.5) | 0.003 | 8.1% |
| Retailers | 40.0% (19.4-60.6) | 22.2% (19.0-24.0) | 0.037 | 22.8% |
| Internet | 4.0% (0.0-12.3) | 5.7% (4.0-7.3) | 0.724 | 5.6% |
| Newspapers | 16.0% (0.6-31.4) | 7.4% (5.5-9.2) | 0.109 | 7.6% |
| Health professionals | 8.0% (0.0-19.4) | 11.6% (9.4-13.9) | 0.570 | 11.6% |
| Friends and Family | 52.0% (31.0-73.0) | 42.9% (39.4-46.4) | 0.377 | 43.4% |
| Magazines | 20.0% (3.1-36.9) | 4.9% (3.3-6.4) | 0.001 | 5.3% |
| Drug labels/inserts | 66.7% (39.4-90.0) | 56.4% (51.2-58.8) | 0.387 | 56.7% |
| Other sources (Books) | 16.0% (6.0-31.4) | 7.1% (5.2-8.9) | 0.092 | 7.6% |
| | Mean (SD) | Mean (SD) | | Mean (SD) |
| Practice score [out of-28] | 12.2 (5.8) | 9.12 (5.0) | 0.002 | 9.22 (5.00) |
| COTC Knowledge scores [max = 6) | 3.64 1.60) | 3.52 (1.45) | 0.712 | 3.52 (1.45) |
| Perceived benefits score [max = 12] | 6.76 (3.40) | 6.67 (3.01) | 0.851 | 6.67 (2.99) |
| Perceived COTC AE severity [max = 4] | 3.32 (1.14) | 3.61 (0.87) | 0.219 | 3.60 (0.88) |
| Perceived AE susceptibility [max = 6] | 2.00 (1.99) | 2.01 (1.71) | 0.902 | 2.01 (1.72) |
| Perceived COTC info barriers [max = 12] | 7.36 (2.31) | 7.24 (2.20) | 0.801 | 7.23 2.21) |
*χ2 or t-test p-value.
aQi (氣) imbalances refer to TCM concept of bodily vital energy disharmonies [38].
bOther conditions include: Headache, ear ache and multi-symptom conditions.
Correlates of adverse events (AE) among over-the-counter Chinese medicine users (n = 789)
| Total sample of COTC users | 3.2% (1.9-4.4) | | | -- |
| Gender | | 0.146 | | |
| Male | 2.2% (0.7-3.7) | | 1.00 | -- |
| Female | 4.0% (2.1-5.9) | | 1.40 (0.56-3.50) | |
| Age | | 0.043 | | |
| 18-44 | 1.9% (0.5-3.2) | | 1.00 | -- |
| 45+ | 4.4% (2.4-6.4) | | 1.30 (0.49-3.49) | |
| Educational level | | 0.002 | | |
| F6 and higher | 0.7% (0.0-1.6) | | 1.00 | 1.00 |
| Up to F5 (grade 11) | 4.8% (2.8-6.7) | | 7.43 (1.74-31.8)2 | 9.64 (2.20-42.3)2 |
| Household income | | 0.291 | | |
| HKD 15,000 or more | 4.3% (1.2-7.5) | | -- | -- |
| HKD 0–14,999 | 2.7% (1.4-4.1) | | | |
| Health insurance | | 0.100 | | |
| Insured | 4.3% (2.2-6.3) | | 1.00 | -- |
| Uninsured | 2.2% (0.1-3.6) | | 1.34 (0.57-3.16) | |
| Employment | | 0.008 | | |
| Employed or FT student | 1.8% (0.1-3.0) | | 1.00 | -- |
| All else | 5.1% (2.7-7.5) | | 1.92 (0.79-4.64) | |
| COTC Knowledge levels | | 0.307 | | |
| High knowledge score (> IQR) | 6.0% (0.1-12.0) | | | -- |
| Score in interquartile range | 2.9% (1.6-4.2) | | | |
| Low knowledge score (< IQR) | 2.9% (0.0-6.9) | | | |
| Perceived benefits | | 0.141 | | |
| High benefits score (>IQR) | 2.2% (0.3-4.1) | | | |
| Score in interquartile range | 4.2% (2.3-6.0) | | | |
| Low benefits score (< IQR) | 0.9% (0.0-2.8) | | | |
| Perceived barriers | | 0.472 | | |
| Low barriers score (< IQR) | 3.2% (0.4-5.9) | | | -- |
| Score in interquartile range | 2.8% (1.3-4.2) | | | |
| High barriers score (>IQR) | 4.9% (1.0-8.7) | | | |
| Perceived severity of COTC AE | | 0.260 | | -- |
| High severity score (>IQR) | 2.7% (1.4-4.0) | | | |
| Score in interquartile range | 4.3% (0.9-7.7) | | | |
| Low severity score (< IQR) | 7.7% (0.0-18.7) | | | |
| Perceived susceptibility to COTC AE | | 0.604 | | |
| High susceptibility Score (>IQR) | 2.9% (0.4-5.4) | | | -- |
| Score in interquartile range | 2.6% (1.1-4.2) | | | |
| Low susceptibility score (< IQR) | 4.1% (1.3-6.9) | | | |
| Preventive practices | | 0.008 | | |
| Low preventive practices Score (< IQR) | 1.4% (0.0-3.3) | | | 1.00 |
| Score in interquartile range | 2.5% (1.0-3.9) | | | 2.59 (0.55-12.1) |
| High preventive practices score(>IQR ) | 6.0% (2.7-9.4) | | | 6.47 (1.38-30.3)1 |
| Exposed to any TCM warnings | | 0.650 | | |
| Yes, | 2.9% (1.4-4.4) | | | -- |
| No/Can’t recall | 3.5% (1.3-5.6) | | | |
| Self-efficacy for obtaining reliable COTC info? | | 0.123 | | |
| Yes, have self-efficacy | 2.4% (1.0-3.8) | | | 1.00 |
| No/Not sure | 4.4% ( 2.1-6.7) | | | 1.42 (0.59-3.42) |
| Usual source of COTC info | | | | |
| Health professionals | 2.2% (0.0-5.3) | 0.570§ | | -- |
| Internet | 2.3% (0.0-6.9) | 0.724§ | | -- |
| Package labels & inserts | 3.1% (1.2-4.6) | 0.387§ | | -- |
| Family & Friends | 3.8% (1.8-5.9) | 0.377§ | | -- |
| Retailers | 5.6% (2.2-9.0) | 0.037§ | | 1.98 (0.78-5.09) |
| Newspapers | 6.7% (2.0-13.2) | 0.109§ | | 0.61 (0.11-3.26) |
| TV | 9.4% (2.0-16.7) | 0.003§ | | 2.93 (1.01-8.50)1 |
| Magazines | 11.9% (1.7-22.1) | 0.001§ | | 3.32 (1.03-10.7)1 |
| Books | 6.9% (0.2-13.6) | < 0.001§ | 2.74 (0.84-8.90) |
*Stepwise regression model using socio-demographic variables with p-value < 0.15 in the unadjusted analyses as candidate variables, non-significant covariates are shown with OR (95% CI) prior to removal from the final model.
**Stepwise regression model using educational attainment in addition to attitudinal and behavioral variables with p-value < 0.15 in the unadjusted analyses as candidate variables.
non-significant covariates are shown with OR (95% CI) prior to removal from the final model. Full Final model showed Hosmer-Lemeshow statistics = 0.595 and Variance Inflation Factor = 1.19.
§p-values for comparison with those not reporting those behaviors.
-- Variable not entered as candidate variable into multivariate model.
1p<0.05, 2p < 0.01.
Figure 2Description of adverse event dosage forms and types of adverse events.