| Literature DB >> 26116373 |
Céline Caillet1, Chanvilay Sichanh2, Lamphone Syhakhang3, Cyrille Delpierre4, Chanthanom Manithip5, Mayfong Mayxay6,7, Maryse Lapeyre-Mestre8, Paul N Newton9,10,11, Anne Roussin12.
Abstract
BACKGROUND: While essential medicines have been made more available in all but the most remote areas in low and middle income countries (L/MICs) over the past years, inappropriate and incorrect use of good quality medicines remains a key impediment for public health. In addition, as medicines have a potential to cause harm (medicine risks), adequate awareness by medicine users of the risks of adverse reactions is essential, especially as self-medication is common in L/MICs. This study aimed to investigate the awareness of Lao residents regarding medicine risks in Vientiane Capital, Lao People's Democratic Republic.Entities:
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Year: 2015 PMID: 26116373 PMCID: PMC4483223 DOI: 10.1186/s12889-015-1948-2
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Questionnaire for survey of population awareness of risks related to medicinal products use
| Answers | ||||
|---|---|---|---|---|
| A. Sociodemographic characteristics | ||||
| 1. Gender | o Male | o Female | ||
| 2. Age | ____ | |||
| 3. Status in the household | o Head of household | o Spouse or husband of head of household | ||
| o Other, specify ________ | ||||
| 4. Occupation | o Housekeeper | o Farmer | o Other job | |
| o Retired/disabled | o Student | |||
| 5. Monthly household income (Lao kip) | o ≤ 1 000 000 | o >1 000 000 | ||
| 6. Religion | o Buddhism | o Animism | o Other, specify _______ | |
| 7. Level of education | o Secondary school or higher | o Primary school or no education | ||
| 8. Can you read? | o Yes | o No | ||
| 9. Do you have easy access to internet? | o Yes | o No | ||
| B. Medicinal product use | ||||
| 1. Have you ever consumed modern medicine(s)? | o Yes | o No | ||
| Was the last time during the last 12 months? | o Yes | o No | ||
| If yes, name(s) of the medicine(s) and its (their) indication(s) | ________ ________ | |||
| 2. Have you ever consumed traditional medicine(s)? | o Yes | o No | ||
| Was the last time during the last 12 months? | o Yes | o No | ||
| If yes, name(s) of the medicine(s) and its (their) indication(s) | ________ ________ | |||
| C. Awareness of medicinal product risks | ||||
| 1. Do you think that modern medicines can be harmful in case of normal use and normal doses? | o Yes | o No | o Do not know | |
| Comment(s)_____________________________________________ | ||||
| 2. Do you think that modern medicines can be harmful in case of overdosage? | o Yes | o No | o Do not know | |
| 3. Do you think that traditional medicines can be harmful in case of normal use and normal doses? | o Yes | o No | o Do not know | |
| 4. Do you think that traditional medicines can be harmful in case of overdosage? | o Yes | o No | o Do not know | |
| 5. Have you ever heard what an adverse drug reaction is? | o Yes | o No | ||
| Comment(s)_____________________________________________ | ||||
| 6. Have you ever heard of poor quality medicines? | o Yes | o No | ||
| If yes, do you think that poor quality medicines can be harmful? | o Yes | o No | o Do not know | |
| Comment(s)_____________________________________________ | ||||
| 7. Where have you heard of poor quality medicines? | o Healthcare providers | o Magazine, journal | ||
| o TV | o Relative, friend | o Other, specify ________ | ||
| D. Experience of adverse drug reaction | ||||
| 1. Have you (or one of your relative) ever taken a medicine (modern medicine, traditional medicine) that made you feel worse? | o Yes | o No | ||
| If yes, please describe the reaction and the name(s) of the medicine(s)_________________________ | ||||
| A Pharmacovigilance system is a ‘drug monitoring’ system. This system works through spontaneous reporting of drug-related problems by health care professionals and patients. | ||||
| 2. Would you agree to notify a drug-related problem to the national pharmacovigilance center? | o Yes | o No | ||
Socio-demographic characteristics of the respondents (N = 144) according to the awareness of medicine risks
| Aware of medicine risks n (%) | Unaware of medicine risks n (%) |
| |
|---|---|---|---|
|
| 55 (38.2) | 89 (61.8) | |
|
| 0.07 | ||
| Mean ± SD | 42.7 ± 10.6 | 46.5 ± 13.4 | |
|
| 0.24 | ||
| Male | 17 (30.9) | 19 (21.4) | |
| Female | 38 (69.1) | 70 (78.6) | |
|
| 0.76 | ||
| Head of household | 16 (29.1) | 31 (34.8) | |
| Husband/spouse of the head of household | 29 (52.7) | 45 (50.6) | |
| Other | 10 (18.2) | 13 (14.6) | |
|
| 0.10 | ||
| In employment (except farmers) | 35 (63.6) | 42 (47.2) | |
| Housekeeper | 13 (23.6) | 24 (27.0) | |
| Farmer | 7 (12.7) | 23 (25.8) | |
|
| 0.52 | ||
| Buddhism | 55 (100.0) | 87 (97.8) | |
| Animism | 0 | 2 (2.3) | |
|
| 0.13 | ||
| >1,000,000 | 7 (13.0) | 21 (24.1) | |
| ≤1,000,000 | 47 (87.0) | 66 (75.9) | |
|
| 0.03 | ||
| Secondary or higher | 36 (65.5) | 40 (44.9) | |
| No education or primary school | 19 (34.6) | 49 (55.1) | |
|
| 0.74 | ||
| Yes | 52 (94.6) | 82 (92.1) | |
| No | 3 (5.5) | 7 (7.9) | |
|
| 0.08 | ||
| Yes | 8 (14.6) | 5 (5.6) | |
| No | 47 (85.5) | 84 (94.4) | |
|
| 0.001 | ||
| Xaysetha | 22 (40.0) | 14 (15.7) | |
| Sikhottabong | 15 (27.3) | 21 (23.6) | |
| Naxaithong | 12 (21.8) | 24 (27.0) | |
| Sangthong | 6 (10.9) | 30 (33.7) |
*χ2, Fisher’s tests (qualitative characteristics) or t-test (quantitative characteristics)
Last medicines used within the previous 12 months by the 102 respondents
| Medicines | n (%) |
|---|---|
| Unknown/unidentified | 51 (50.0) |
| Analgesics | 18 (17.6) |
| Vitamins/minerals | 14 (13.7) |
| Traditional medicines | 13 (12.7) |
| Anti-infectious | 10 (9.8) |
| Medicines of gastro-intestinal disorders | 8 (7.8) |
| Cardiovascular medicines | 5 (4.9) |
| Antidiabetics | 5 (4.9) |
| Other | 2 (2.0) |
Factors influencing the awareness of the population regarding medicines risks: ‘unaware’ vs ‘aware’. Results of univariate and multivariate analysis
| Univariate analysis | Multivariate analysis | |||
|---|---|---|---|---|
| Variables | OR (95 % CI) |
| Adjusted OR (95 % CI) |
|
|
| 0.10 | 0.11 | ||
| ≤40 | 1 | 1 | ||
| [40–50] | 0.9 (0.4–2.0) | 0.8 (0.3–2.0) | ||
| >50 | 2.3 (0.9–5.5) | 2.3 (0.8–6.7) | ||
|
| 0.21 | |||
| Male | 1 | |||
| Female | 1.6 (0.8–3.5) | |||
|
| 0.72 | |||
| Head of household | 1 | |||
| Husband/spouse of the head of household | 0.8 (0.4–1.7) | |||
| Other | 0.7 (0.2–1.9) | |||
|
| 0.10 | |||
| In employment (except farmer) | 1 | |||
| Housekeeper | 1.5 (0.7–3.5) | |||
| Farmer | 2.7 (1.1–7.1) | |||
|
| 0.99 | |||
| Buddhism | 1 | |||
| Animism | N/A | |||
|
| 0.11 | 0.06 | ||
| >1,000,000 | 1 | 1 | ||
| ≤1,000,000 | 2.1 (0.8–5.4) | 2.8 (1.0–8.1) | ||
|
| 0.02 | 0.56 | ||
| Secondary or higher | 1 | 1 | ||
| Primary school or no education | 2.3 (1.2–4.7) | 1.3 (0.6–2.9) | ||
|
| 0.58 | |||
| Yes | 1 | |||
| No | 1.5 (0.4–6.0) | |||
|
| 0.08 | 0.22 | ||
| Yes | 1 | 1 | ||
| No | 2.9 (0.9–9.2) | 2.3 (0.6–8.5) | ||
|
| <0.01 | <0.01 | ||
| Xaysetha | 1 | 1 | ||
| Sikhottabong | 2.2 (0.9–5.6) | 1.7 (0.6–4.8) | ||
| Naxaithong | 3.1 (1.2–8.2) | 3.3 (1.1–9.4) | ||
| Sangthong | 7.9 (2.6–23.7) | 7.5 (2.3–24.2) | ||
OR, odds-ratio; CI, confidence interval
The occupation factor was not included in the multivariate model because of its strong collinearity with the district localization