| Literature DB >> 31650433 |
Guiyue Ma1,2, Aijing Luo3, Zhiying Shen4, Yinglong Duan1, Shuangjiao Shi1,2, Zhuqing Zhong5,6,7.
Abstract
The adverse consequence of low medication literacy is a major problem that threatens patients' health. The number of people with hypertension is increasing in China. We described the current situation of medication literacy of patients with hypertension in China and its related influencing factor. We conducted a cross-sectional study, which contains 590 hypertensive patients. Stratified sampling was adopted according to the hospital level in China. To determine the factors related to medication literacy, multiple linear regression analysis was used to determine associations between medication literacy of hypertensive patients and other factors. Among 590 respondents, results showed that they have poor medication literacy. Multiple linear regression analysis showed that level of education, annual income, occupation status, and type of medical insurance were significantly associated with medication literacy level of hypertensive patients. In addition, our study also demonstrates that we can identify the medication literacy level of hypertensive patients using the Chinese version Medication Literacy Scale for Hypertensive Patients. High medication literacy is an important factor for hypertensive patients to improve medication adherence, so as to better control blood pressure. We should pay attention to the improvement of medication literacy and take corresponding measures.Entities:
Keywords: Blood pressure control; Hypertensive patients; Medication literacy
Mesh:
Year: 2019 PMID: 31650433 PMCID: PMC7165129 DOI: 10.1007/s11739-019-02187-0
Source DB: PubMed Journal: Intern Emerg Med ISSN: 1828-0447 Impact factor: 3.397
Demographics of hypertensive patients (n = 540)
| Items | % | ||
|---|---|---|---|
| Age | 18–44 | 58 | 10.70 |
| 45–59 | 172 | 31.90 | |
| ≥ 60 | 310 | 57.40 | |
| Gender | Male | 298 | 55.20 |
| Female | 242 | 44.80 | |
| Education level | Primary or below | 149 | 27.60 |
| Junior middle school | 145 | 26.90 | |
| High school or polytechnic school | 101 | 18.70 | |
| Junior college | 62 | 11.50 | |
| Bachelor degree or above | 83 | 15.40 | |
| Annual Income | < 10,000/year | 94 | 17.40 |
| 10,000–29,000/year | 106 | 19.63 | |
| 30,000–49,000/year | 146 | 27.04 | |
| 50,000–99,000/year | 93 | 17.20 | |
| ≥ 100,000/year | 101 | 18.70 | |
| Marital status | Married | 479 | 88.70 |
| Unmarried | 10 | 1.90 | |
| Divorced or widowed | 51 | 9.50 | |
| Occupation | Occupied | 374 | 75.60 |
| Retired | 128 | 23.70 | |
| Jobless | 38 | 7.00 | |
| Habitation | Urban | 310 | 57.40 |
| Country | 230 | 42.60 | |
| Type of medical insurance | New rural cooperative medical insurance | 206 | 38.10 |
| Medical insurance for urban workers | 226 | 41.90 | |
| Medical insurance for urban residents | 86 | 15.90 | |
| Other | 15 | 2.80 | |
| Without medical insurance | 7 | 1.30 | |
| A history of hypertension | < 3 years | 101 | 18.70 |
| 3–4 years | 90 | 16.70 | |
| 5–9 years | 144 | 26.70 | |
| ≥ 10 years | 205 | 38.00 | |
| Family history of hypertension | Yes | 348 | 64.40 |
| No | 192 | 35.60 | |
| Hypertension complication | Yes | 146 | 27.00 |
| No | 394 | 73.00 | |
| One or none | 333 | 61.70 | |
| The number of antihypertensive medications being taken | 2–3 kinds | 185 | 34.30 |
| 4 kinds or above | 22 | 4.10 | |
| One or none | 24 | 4.40 | |
| The number of people who live together | 2–4 | 346 | 64.10 |
| 5–7 | 142 | 26.30 | |
| 8 or above | 28 | 5.20 |
Scores in each dimension of medication literacy of hypertensive patients
| Dimensions | Range of score | Overall average score | Average score of items | sequence |
|---|---|---|---|---|
| Knowledge literacy | 0.00–9.00 | 6.28 ± 2.21 | 0.70 ± 0.25 | 1 |
| Attitude literacy | 2.00–8.00 | 5.36 ± 1.20 | 0.67 ± 0.15 | 2 |
| Skill literacy | 0.00–7.00 | 4.51 ± 2.15 | 0.64 ± 0.31 | 4 |
| Practice literacy | 1.00–12.75 | 8.46 ± 1.95 | 0.65 ± 0.15 | 3 |
| Medication literacy | 11.50–35.5 | 24.61 ± 5.13 | 0.67 ± 0.14 |
Scores on medication literacy assessment scale of hypertensive patients of different characteristics
| Factors | Items | Knowledge literacy | Attitude literacy | Skill literacy | Practice literacy | Scores on medication literacy |
|---|---|---|---|---|---|---|
| Age | 18–44 | 7.16 ± 1.63 | 5.17 ± 1.35 | 5.53 ± 1.55 | 9.25 ± 1.70 | 27.10 ± 4.77 |
| 45–59 | 6.40 ± 2.17a | 5.40 ± 1.24 | 4.73 ± 2.10a | 8.33 ± 1.93a | 24.87 ± 5.02a | |
| ≥ 60 | 6.05 ± 2.29a | 5.37 ± 1.15 | 4.19 ± 2.20a | 8.38 ± 1.97a | 24.01 ± 5.11a | |
| | 6.539 | 0.878 | 11.300 | 5.430 | 9.510 | |
| | 0.002 | 0.416 | 0.000 | 0.000 | 0.000 | |
| Gender | Male | 6.66 ± 2.06 | 5.35 ± 1.22 | 4.77 ± 2.02 | 8.57 ± 1.99 | 25.35 ± 4.92 |
| Female | 5.81 ± 2.30 | 5.38 ± 1.18 | 4.19 ± 2.26 | 8.33 ± 1.88 | 23.71 ± 5.25 | |
| | 4.524 | 0.288 | 3.137 | 1.424 | 3.737 | |
| | 0.000 | 0.773 | 0.002 | 0.155 | 0.000 | |
| Degree of education | Primary or below | 5.21 ± 2.20 | 5.15 ± 1.17 | 3.95 ± 2.30 | 8.24 ± 1.99 | 22.55 ± 4.99 |
| Junior middle school | 5.92 ± 2.20a | 5.44 ± 1.21 | 4.14 ± 2.30 | 8.14 ± 1.88 | 23.64 ± 5.28 | |
| Senior school or technical secondary school | 6.49 ± 1.97a | 5.36 ± 1.14 | 4.69 ± 2.07a | 8.73 ± 1.66 | 25.27 ± 4.19ab | |
| Junior college | 7.31 ± 1.66abc | 5.44 ± 1.26 | 5.10 ± 1.64ab | 8.86 ± 2.08 | 26.70 ± 4.49abc | |
| College degree or above | 7.84 ± 1.59abc | 5.55 ± 1.23 | 5.48 ± 1.47abc | 8.79 ± 2.11 | 27.67 ± 4.43abc | |
| | 28.482 | 1.943 | 9.733 | 3.270 | 20.234 | |
| | 0.000 | 0.102 | 0.000 | 0.012 | 0.000 | |
| Annual income | ≤ 10,000/year | 5.45 ± 2.53 | 5.19 ± 1.14 | 4.11 ± 2.22 | 7.94 ± 1.92 | 22.68 ± 4.79 |
| 10,000–29,000/ year | 5.55 ± 1.09 | 5.33 ± 1.09 | 4.03 ± 2.36 | 8.13 ± 2.05 | 23.04 ± 5.39 | |
| 30,000–49,000/ year | 6.57 ± 2.01ab | 5.58 ± 1.20 | 4.54 ± 2.20 | 8.70 ± 1.77a | 25.40 ± 5.06ab | |
| 50,000–99,000/year | 6.80 ± 1.98ab | 5.21 ± 1.35 | 5.18 ± 1.85a | 8.64 ± 2.22a | 25.83 ± 5.09ab | |
| ≥ 100,000/year | 6.95 ± 1.76ab | 5.38 ± 1.19 | 4.72 ± 1.84 | 8.77 ± 8.46a | 25.82 ± 4.36ab | |
| | 11.249 | 2.154 | 4.832 | 3.908 | 10.017 | |
| | 0.000 | 0.073 | 0.001 | 0.004 | 0.000 | |
| Marital status | Unmarried | 6.40 ± 2.12 | 5.05 ± 1.09 | 5.60 ± 1.58 | 9.28 ± 1.71 | 26.33 ± 4.84 |
| Married | 6.33 ± 2.18 | 5.34 ± 1.22 | 4.53 ± 2.14 | 8.44 ± 1.98 | 24.65 ± 5.16 | |
| Divorced or widowed | 5.78 ± 2.46 | 5.60 ± 1.05 | 4.08 ± 2.25 | 8.51 ± 1.65 | 23.98 ± 4.91 | |
| | 1.441 | 1.431 | 2.355 | 0.926 | 0.962 | |
| | 0.238 | 0.240 | 0.096 | 0.397 | 0.383 | |
| Occupational status | On-the-job | 6.31 ± 2.24 | 5.38 ± 1.22 | 4.62 ± 2.17 | 8.52 ± 1.91 | 24.83 ± 5.16 |
| Retired | 6.63 ± 2.05 | 5.48 ± 1.09 | 4.41 ± 2.08 | 8.46 ± 2.10 | 24.97 ± 4.90 | |
| Jobless | 4.89 ± 1.93ab | 4.78 ± 1.25ab | 3.76 ± 2.03a | 7.86 ± 1.64 | 21.29 ± 4.51ab | |
| | 9.322 | 5.236 | 2.915 | 2.032 | 8.883 | |
| | 0.000 | 0.006 | 0.055 | 0.132 | 0.000 | |
| Residence | Urban | 6.68 ± 2.03 | 5.46 ± 1.20 | 4.68 ± 2.01 | 8.54 ± 1.96 | 25.37 ± 4.78 |
| Rural areas | 5.75 ± 2.33 | 5.22 ± 1.19 | 4.27 ± 2.31 | 8.35 ± 1.92 | 23.60 ± 5.41 | |
| | 4.910 | 2.323 | 2.201 | 1.140 | 4.022 | |
| | 0.000 | 0.021 | 0.028 | 0.255 | 0.000 | |
| Medical insurance type | Without medical insurance | 3.29 ± 1.70 | 4.25 ± 0.85 | 1.86 ± 2.34 | 7.39 ± 2.31 | 16.79 ± 4.90 |
| New rural cooperative medical insurance | 5.62 ± 2.33a | 5.29 ± 1.25a | 4.43 ± 2.33a | 8.28 ± 1.92 | 23.63 ± 5.46a | |
| Medical insurance for urban workers | 7.13 ± 1.85a | 5.45 ± 1.20a | 4.92 ± 1.82a | 8.55 ± 2.08 | 26.05 ± 4.59a | |
| Medical insurance for urban residents | 5.81 ± 1.94a | 5.31 ± 1.10a | 3.87 ± 2.22a | 8.70 ± 1.62 | 23.70 ± 4.56a | |
| Others | 6.73 ± 2.34a | 5.75 ± 0.86a | 4.33 ± 1.88a | 8.65 ± 1.71 | 25.47 ± 4.00a | |
| | 19.779 | 2.423 | 6.972 | 1.448 | 12.119 | |
| | 0.000 | 0.047 | 0.000 | 0.217 | 0.000 | |
| History of hypertension | < 3 year | 6.07 ± 2.24 | 5.20 ± 1.25 | 4.61 ± 2.24 | 8.67 ± 1.81 | 24.55 ± 5.30 |
| 3–4 year | 5.84 ± 2.11 | 5.23 ± 1.21 | 4.84 ± 2.14 | 8.38 ± 1.87 | 24.29 ± 5.07 | |
| 5–9 year | 6.47 ± 2.16 | 5.34 ± 1.22 | 4.37 ± 2.27 | 8.40 ± 2.04 | 24.57 ± 5.23 | |
| ≥ 10 year | 6.45 ± 2.26 | 5.52 ± 1.14 | 4.41 ± 2.01 | 8.44 ± 1.98 | 24.82 ± 5.02 | |
| | 2.243 | 2.291 | 1.165 | 0.497 | 0.24 | |
| | 0.082 | 0.077 | 0.322 | 0.684 | 0.868 | |
| Family history of hypertension | Yes | 6.57 ± 2.19 | 5.36 ± 1.24 | 4.67 ± 2.09 | 8.44 ± 2.04 | 25.04 ± 5.12 |
| No | 5.76 ± 2.16 | 5.36 ± 1.14 | 4.22 ± 2.23 | 8.50 ± 1.77 | 23.84 ± 5.07 | |
| | 4.142 | 0.043 | 2.344 | 0.345 | 2.611 | |
| | 0.000 | 0.966 | 0.019 | 0.730 | 0.009 | |
| Hypertension complication | Yes | 6.10 ± 2.39 | 5.35 ± 1.11 | 4.27 ± 2.32 | 8.35 ± 2.20 | 24.07 ± 5.68 |
| No | 6.35 ± 2.14 | 5.37 ± 1.23 | 4.60 ± 2.08 | 8.50 ± 1.84 | 24.82 ± 4.90 | |
| | 1.156 | 0.144 | 1.597 | 0.827 | 1.516 | |
| | 0.248 | 0.885 | 0.111 | 0.409 | 0.130 | |
| The number of antihypertensive medication being taken | ||||||
| 1 kind | 6.43 ± 2.10 | 5.29 ± 1.18 | 4.63 ± 2.13 | 8.45 ± 1.95 | 24.80 ± 4.85 | |
| 2–3 kinds | 6.17 ± 2.31 | 5.47 ± 1.22 | 4.31 ± 2.20 | 8.54 ± 1.93 | 24.49 ± 5.57 | |
| 4 kinds or above | 5.05 ± 2.59a | 5.53 ± 1.22 | 4.32 ± 1.94 | 7.95 ± 1.96 | 22.85 ± 5.15 | |
| | 4.485 | 1.616 | 1.389 | 0.883 | 1.578 | |
| | 0.012 | 0.200 | 0.250 | 0.414 | 0.207 | |
| The number of people who live together | 1 or below | 6.33 ± 2.41 | 5.14 ± 1.12 | 3.79 ± 2.25 | 8.75 ± 1.63 | 24.01 ± 5.50 |
| 2–4 | 6.44 ± 2.21 | 5.43 ± 1.22 | 4.61 ± 2.13 | 8.59 ± 1.92 | 25.07 ± 5.16 | |
| 5–7 | 6.02 ± 2.07 | 5.24 ± 1.14 | 4.43 ± 2.21 | 8.27 ± 2.05 | 23.96 ± 4.96 | |
| 8 or above | 5.61 ± 2.54 | 5.34 ± 1.27 | 4.25 ± 1.96 | 7.61 ± 1.72ab | 22.80 ± 4.58 | |
| | 2.151 | 1.166 | 1.364 | 2.916 | 2.987 | |
| | 0.093 | 0.322 | 0.253 | 0.034 | 0.031 |
aCompared with the first layer, P < 0.05
bCompared with the second layer, P < 0.05
cCompared with the third layer, P < 0.05
Variables assignment of analysis on influencing factors of medication literacy of hypertensive patients
| Variables | Assignment |
|---|---|
| Gender | Male = 1; female = 2 |
| Age group | 18–44 years old = 1; 45–60 years old = 2; ≥ 60 years old = 3 |
| Marital status | Referring to “unmarried” as dumb variable: M1 = married (1, 0), M2 = divorced or widowed (0, 1) |
| Degree of education | Primary level and below = 1; Junior middle school = 2; Senior school or technical secondary school = 3; Junior College = 4; College degree or above = 5 |
| Occupational status | Referring to the retired as dumb variable: P1 = on-the-job (1, 0), P2 = jobless (0, 1) |
| Annual income | ≤ 10,000/year = 1; 10,000–29,000/year = 2; 30,000–49,000/year = 3; 50,000–99,000/year = 4; ≥ 100,000/year = 5 |
| Residence | Urban area = 1; Rural area = 2 |
| The number of people who lived together | 1 or below = 1; 2–4 persons = 2; 5–7 persons = 3; 8 or above = 4 |
| Medical insurance type | Referring to “without medical insurance” as dumb variable: I1 = Medical insurance for urban workers (1, 0, 0, 0), I2 = Medical insurance for urban residents (0, 1, 0, 0), I3 = New rural cooperative medical insurance (0, 0, 1, 0), I4 = others (0, 0, 0, 1) |
| History of hypertension | < 3 years = 1; 3–4 years = 2; 5–9 years = 3; ≥ 10 years = 4 |
| Family history of hypertension | Yes = 1; no = 2 |
| Hypertension complication | Yes = 1; no = 2 |
| Kinds of antihypertensive medication being taken | 1 or below = 1; 2–3 kinds = 2; 4 or above = 3 |
Results of multiple linear regression analysis on each dimension of medication literacy of hypertensive patients
| Model summary | ||||
|---|---|---|---|---|
| Model | R | R2 | Adjusted R2 | Error of standard estimate |
| 1 | 0.349a | 0.122 | 0.117 | 5.278 |
aPredictive variables: (constant), education level, occupational status, and medical insurance