| Literature DB >> 28222647 |
Feng Zheng1, Siqing Ding2, Aijing Luo3,4, Zhuqing Zhong2,3,4, Yinglong Duan5, Zhiying Shen5.
Abstract
Objective To assess medication literacy status and to examine risk factors of inadequate medication literacy of outpatients in ambulatory care settings. Methods Study participants were recruited randomly from outpatient departments in four tertiary hospitals (Xiangya Hospital of Central South University, Second Xiangya Hospital of Central South University, Third Xiangya Hospital of Central South University, People's Hospital of Hunan Province) in Changsha, Hunan, China, between October 2014 and January 2015. Medication literacy was assessed using the Medication Literacy Scale, Chinese version. Demographic and clinical data were collected using structured interviews. Multiple logistic regression analysis was used to estimate the independent effects of demographic and clinical factors on medication literacy. Results Of 465 participants, 425 (91.4%) produced valid responses for analysis. The mean medication literacy score was 8.31 (standard deviation = 3.47). Medication literacy was adequate in 131 participants (30.8%), marginally adequate in 248 (58.4%), and inadequate in 46 (10.8%). The risk of inadequate medication literacy was greater for older and unmarried patients but lower for more educated patients. Conclusion Many Chinese outpatients in ambulatory care have inadequate medication literacy. Greater age, low education, and unmarried status are important risk factors of inadequate medication literacy.Entities:
Keywords: Outpatients; ambulatory care; medication literacy; risk factors
Mesh:
Year: 2017 PMID: 28222647 PMCID: PMC5536586 DOI: 10.1177/0300060516676726
Source DB: PubMed Journal: J Int Med Res ISSN: 0300-0605 Impact factor: 1.671
Characteristics of participants.
| Variable name | No. of participants (N = 425) | Percentage (%) |
|---|---|---|
| Gender | ||
| Male | 267 | 63 |
| Female | 158 | 37 |
| Age (years) | ||
| ≤25 | 11 | 3 |
| 26–35 | 30 | 7 |
| 36–45 | 31 | 7 |
| 46–55 | 43 | 10 |
| 56–65 | 142 | 33 |
| >65 | 168 | 40 |
| Employment | ||
| Full-time | 138 | 32 |
| Unemployed/ Retired | 287 | 68 |
| Education (years) | ||
| ≤6 | 138 | 32 |
| 7–9 | 179 | 42 |
| 10–12 | 56 | 13 |
| 13–16 | 45 | 11 |
| >16 | 7 | 2 |
| Marital status | ||
| Married | 356 | 84 |
| Unmarried | 69 | 16 |
| Monthly income (¥)a | ||
| <1000 | 47 | 11 |
| 1000–3000 | 147 | 35 |
| >3000 | 231 | 54 |
| Number of health problems | ||
| 1 | 192 | 45 |
| 2 | 150 | 35 |
| ≥3 | 83 | 20 |
| Number of medicines currently taken | ||
| 1 | 69 | 16 |
| 2–3 | 91 | 21 |
| 4–5 | 118 | 28 |
| ≥6 | 147 | 35 |
¥1 = US$0.1545.
Medication literacy by case scenario for outpatients, Changsha, Hunan, China, October 2014 to January 2015 (n = 425).
| Item | Percentage with correct answer | |
|---|---|---|
| Case Scenario 1 | ||
| a1 | According to the label, how many times per day should your mother inject the medicine? | 72.3 |
| a2 | Please show me how much medicine you should put into the syringe in the morning, and mark it on the syringe. | 62.0 |
| a3 | According to the instruction, please tell us or point out the three parts of the body into which your mother could inject the medicine. | 48.3 |
| a4 | According to the instruction, please tell me what is the correct angle at which you should inject the medicine. | 55.5 |
| a5 | Looking at the prescription, if your mother’s medicine has run out, from whom should you get a new prescription? | 63.6 |
| Case Scenario 2 | ||
| a6 | Looking at the instructions on this box, how much of the medicine should you give to your niece? | 50.2 |
| a7 | If you know the dosage of medicine that your niece needs to take, please mark on the cup to which line you poured the medicine. | 48.9 |
| a8 | According to the directions, what is the maximum dosage your niece should take? | 49.8 |
| Case Scenario 3 | ||
| a9 | Looking at this prescription, what is the name of the medicine that you need to buy at the pharmacy? | 70.4 |
| a10 | According to the prescription, how many pills should you take? | 64.2 |
| a11 | Looking at this bottle, the medicine in the bottle has an action similar to the medicine on the prescription. If you need to take 30 pills to cure the infection, how many boxes should you buy to obtain the correct amount of antibiotic required by the original prescription? | 63.9 |
| Case Scenario 4 | ||
| a12 | Looking at the box, when does the medicine go out of date? | 59.8 |
| a13 | According to the directions, what is or what are the active ingredient(s) in each pill? | 71.0 |
| a14 | Please look carefully at the box. For what reason should you stop taking the medicine? | 54.2 |
Results of univariate analysis of determinants of medication literacy for outpatients, Changsha, Hunan, China, October 2014 to January 2015 (n = 425).
| Variable name | Mean (SD) of total score | t/ H/ F |
|
|---|---|---|---|
| Gender | |||
| Male | 8.81 ± 3.36 | 3.19 | <0.01 |
| Female | 8.64 ± 3.01 | ||
| Age (years) | |||
| ≤25 | 11.50 ± 1.51 | 123.44 | <0.01 |
| 26–35 | 11.39 ± 1.67 | ||
| 36–45 | 11.26 ± 2.16 | ||
| 46–55 | 10.45 ± 1.80 | ||
| 56–65 | 8.95 ± 2.69 | ||
| >65 | 5.97 ± 3.34 | ||
| Employment | |||
| Full-time | 10.50 ± 2.35 | 9.64 | <0.01 |
| Unemployed/ Retired | 7.32 ± 3.45 | ||
| Education (years) | |||
| ≤6 | 5.10 ± 2.76 | 163.78 | <0.01 |
| 7–9 | 9.11 ± 2.62 | ||
| 10–12 | 10.95 ± 1.53 | ||
| 13–16 | 11.79 ± 1.72 | ||
| >16 | 11.80 ± 3.54 | ||
| Marital status | |||
| Married | 8.62 ± 3.35 | 3.41 | <0.01 |
| Unmarried | 6.84 ± 3.749 | ||
| Monthly income (¥)a | |||
| <1000 | 6.75 ± 3.61 | 12.13 | <0.01 |
| 1000–3000 | 7.56 ± 3.51 | ||
| >3000 | 9.15 ± 3.20 | ||
| Number of health problems | |||
| 1 | 9.03 ± 3.32 | 5.64 | <0.01 |
| 2 | 7.89 ± 3.47 | ||
| ≥3 | 7.52 ± 3.56 | ||
| Number of medicines currently taken | |||
| 1 | 9.38 ± 3.12 | 16.50 | <0.01 |
| 2–3 | 9.28 ± 2.98 | ||
| 4–5 | 7.85 ± 3.24 | ||
| ≥6 | 7.63 ± 4.00 | ||
¥1 = US$0.1545; t, two-sample t-test; H, Kruskal–Wallis test; F, analysis of variance.
Results of logistic regression analysis of determinants of medication literacy for outpatients, Changsha, Hunan, China, October 2014 to January 2015 (n = 425).
| Effect |
| Sb |
|
| OR (95% CI) |
|---|---|---|---|---|---|
| Age (years) | 0.66 | 0.16 | <0.01 | 1.94 | (1.42, 2.64) |
| Education (years of schooling) | −0.93 | 0.17 | <0.01 | 0.39 | (0.28, 0.55) |
| Marital status (Unmarried) | 0.85 | 0.34 | 0.01 | 2.34 | (1.20, 4.58) |
b, partial regression coefficient; S