| Literature DB >> 24644523 |
Olayinka O Shiyanbola1, Brittney A Meyer2, Michelle R Locke3, Sara Wettergreen4.
Abstract
OBJECTIVE: To understand how underserved populations attend to prescription warning label (PWL) instructions, examine the importance of PWL instructions to participants and describe the challenges associated with interpreting the information on PWLs.Entities:
Keywords: Drug Labeling; Health Literacy; Patient Education as Topic; Patient Safety; United States; Vulnerable Populations
Year: 2014 PMID: 24644523 PMCID: PMC3955868 DOI: 10.4321/s1886-36552014000100008
Source DB: PubMed Journal: Pharm Pract (Granada) ISSN: 1885-642X
Descriptive Characteristics of Participants (n=103)
| Socio-Demographic | Mean (SD) | Number (%) | |
|---|---|---|---|
| No Age | 50.25 (18.5) | ||
| Gender (Male) | 59 (57.3) | ||
| Race | White non-Hispanic | 47 (45.6) | |
| American Indians | 43 (41.7) | ||
| African American | 7 (6.8) | ||
| Asian | 1 (1) | ||
| Hispanic | 1 (1) | ||
| Other | 4 (3.9) | ||
| Highest Grade Completed | Grades <8 | 4 (3.9) | |
| Some high school | 12 (11.7) | ||
| High School or GEDa | 45 (43.7) | ||
| Some college/technical | 18 (17.5) | ||
| College degree | 18 (17.5) | ||
| Graduate degree | 6 (5.8) | ||
| Self-Reported Overall Health Status | Excellent | 21 (20.4) | |
| Very good | 28 (27.2) | ||
| Good | 37 (35.9) | ||
| Fair | 13 (12.6) | ||
| Poor | 4 (3.9) | ||
| Marital Status b | Single | 47 (45.6) | |
| Married | 23 (22.3) | ||
| Separated/Divorced | 23 (22.3) | ||
| Widowed | 9 (8.7) | ||
| Employment Status | Full time | 14 (13.6) | |
| Part time | 12 (11.7) | ||
| Unemployed/Laid off/Seeking employment | 28 (27.2) | ||
| Unemployed/Laid off/Not seeking employment | 6 (5.8) | ||
| Homemaker | 2 (1.9) | ||
| Retired | 21 (20.4) | ||
| In school | 2 (1.9) | ||
| Disabled | 12 (11.7) | ||
| Other | 6 (5.8) | ||
| Insurance Plan | Individual | 7 (6.8) | |
| Employer | 6 (5.8) | ||
| Military/Veteran Affairs | 5 (4.9) | ||
| Medicaid | 18 (17.5) | ||
| Medicare | 9 (8.7) | ||
| No Insurance | 41 (39.4) | ||
| Individual and Medicare | 10 (9.7) | ||
| Medicare and Medicaid | 3 (2.9) | ||
| Other | 4 (3.9) | ||
| Health literacy/NVS Literacy Score | Limited literacy (0-1) | 49 (47.6) | |
| Possible limited literacy (2-3) | 25 (24.3) | ||
| Adequate literacy (4-6) | 29 (28.2) | ||
| Currently on prescription medication | Yes | 62 (60.2) | |
| Average number of medications | 3.46 (10.24) | ||
| Reported their prescription medications usually have warning labels | 75 (72.8) | ||
| Number of pharmacies used to fill medications | 0 | 23 (22.3) | |
| 1 | 51 (49.5) | ||
| 2 | 23 (22.3) | ||
| >3 | 4 (3.9) | ||
| aGED=General Equivalency Diploma; bMissing data on one subject | |||
Percentage of participants who attended to the prescription warning label instruction based on label type (n=103)
| Label Type a | Number (%) |
|---|---|
| No Graphics | |
| Take with water | 71 (69.6) |
| Do not crush | 69 (67.6) |
| Take with food | 66 (64.1) |
| Avoid Sunlight | 59 (57.8) |
| Graphics | |
| Do not crush | 76 (75.2) |
| Take with food | 75 (73.5) |
| Take with water | 75 (73.5) |
| Avoid Sunlight | 64 (62.7) |
| a= Full label text condensed | |
Association of participants’ characteristics and attendance to the prescription warning label (n=103)
| Label Type a | Participant Characteristic | Chi-square value | P value |
|---|---|---|---|
| No Graphics | |||
| Take with food | Health literacy level (Individuals with limited literacy more likely to ignore) | 11.93 | 0.003 b |
| Gender (Males more likely to ignore than females) | 3.98 | 0.062 | |
| Currently not taking prescription medication | 5.78 | 0.021 b | |
| Highest grade completed | 0.57 | 0.989 | |
| Overall health status | 2.75 | 0.601 | |
| Health Insurance Plan | 4.35 | 0.824 | |
| Age | 2.73 | 0.256 | |
| Race | 3.72 | 0.591 | |
| Avoid Sunlight | Health literacy level (Individuals with limited literacy more likely to ignore) | 8.16 | 0.017 b |
| Gender (Males more likely to ignore than females) | 7.03 | 0.009 b | |
| Currently not taking prescription medication (likely to ignore than those currently taking medications) | 4.67 | 0.041 b | |
| Highest grade completed | 1.51 | 0.912 | |
| Overall health status | 5.03 | 0.284 | |
| Health Insurance Plan | 4.49 | 0.81 | |
| Age | 2.91 | 0.234 | |
| Race | 2.07 | 0.839 | |
| Take with water | Health literacy level (Individuals with limited literacy more likely to ignore) | 16.68 | 0.00 b |
| Gender (Males more likely to ignore than females) | 5.45 | 0.029 b | |
| Currently not taking prescription medication (likely to ignore than those currently taking medications) | 8.05 | 0.005 b | |
| Highest grade completed | 4.32 | 0.504 | |
| Overall health status | 5.08 | 0.28 | |
| Health Insurance Plan | 3.77 | 0.877 | |
| Age | 4.15 | 0.125 | |
| Race | 3.19 | 0.67 | |
| Do not crush | Health literacy level (Individuals with limited literacy more likely to ignore) | 10.08 | 0.006 b |
| Gender (Males more likely to ignore than females) | 9.56 | 0.003 b | |
| Currently not taking prescription medication | 5.16 | 0.031 b | |
| Highest grade completed | 1.92 | 0.86 | |
| Overall health status | 4.36 | 0.36 | |
| Health Insurance Plan | 6.67 | 0.57 | |
| Age | 4.75 | 0.093 | |
| Race | 3.44 | 0.63 | |
| a= Full label text condensed; b= p<0.05 | |||
Association of participants’ characteristics and attendance to the prescription warning label (n=103)
| Label Type a | Participant Characteristic | Chi-square value | P value |
|---|---|---|---|
| Graphics | |||
| Take with food | Health literacy level (Individuals with limited literacy more likely to ignore) | 13.92 | 0.001 b |
| Gender (Males more likely to ignore than females) | 6.55 | 0.013 b | |
| Currently not taking prescription medication | 3.11 | 0.109 | |
| Highest grade completed | 4.29 | 0.508 | |
| Overall health status | 0.31 | 0.989 | |
| Health Insurance Plan | 6.81 | 0.558 | |
| Age | 1.32 | 0.516 | |
| Race | 4.09 | 0.536 | |
| Avoid Sunlight | Health literacy level (Individuals with limited literacy more likely to ignore) | 19.02 | 0.00 b |
| Gender (Males more likely to ignore than females) | 6.98 | 0.013 b | |
| Currently not taking prescription medication (likely to ignore than those currently taking medications) | 4.85 | 0.037 b | |
| Highest grade completed | 4.95 | 0.422 | |
| Overall health status | 2.28 | 0.684 | |
| Health Insurance Plan | 3.12 | 0.927 | |
| Age | 1.74 | 0.418 | |
| Race | 5.09 | 0.405 | |
| Take with water | Health literacy level (Individuals with limited literacy more likely to ignore) | 14.48 | 0.001 b |
| Gender (Males more likely to ignore than females) | 6.55 | 0.013 b | |
| Currently not taking prescription medication (likely to ignore than those currently taking medications) | 7.18 | 0.011 b | |
| Highest grade completed | 3.79 | 0.58 | |
| Overall health status | 3.27 | 0.51 | |
| Health Insurance Plan | 4.77 | 0.78 | |
| Age | 1.89 | 0.389 | |
| Race | 3.18 | 0.672 | |
| Do not crush | Health literacy level (Individuals with limited literacy more likely to ignore) | 6.18 | 0.045 |
| Gender (Males more likely to ignore than females) | 7.50 | 0.01 b | |
| Currently not taking prescription medication | 0.29 | 0.645 | |
| Highest grade completed | 2.39 | 0.79 | |
| Overall health status | 0.37 | 0.99 | |
| Health Insurance Plan | 9.96 | 0.268 | |
| Age | 1.87 | 0.392 | |
| Race | 6.46 | 0.264 | |
| a= Full label text condensed; b= p<0.05 | |||
Participants’ views of prescription warning labels and their characteristics (N=103)
| Characteristic of Prescription Warning Label | Number (%) |
|---|---|
| Graphic on label | |
| Helpful | 62 (60.2) |
| Confusing | 20 (19.4) |
| Indifferent | 15 (14.6) |
| Unsure | 6 (5.8) |
| What makes the label easy to understand? | |
| The label is hard to understand | 21 (20.4) |
| Large print of prescription label | 19 (18.4) |
| Colored pictures | 18 (17.5) |
| Clear directions | 11 (10.7) |
| Nothing | 10 (9.6) |
| Both the large print and colored picture | 7 (6.8) |
| The picture | 7 (6.8) |
| Other | 7 (6.8) |
| What makes the label hard to understand? | |
| The label was easy to understand | 55 (53.4) |
| Small font/print | 17 (16.5) |
| Complex wording | 7 (6.8) |
| Vertical placement on the bottle | 6 (5.8) |
| Small picture | 7 (6.8) |
| Both the vertical placement and small print | 3 (2.9) |
| Other | 8 (7.8) |
| Participant looks at label when picking up their prescription at the pharmacy | 75 (72.8) |
| Perception of the importance of following the prescription drug warning label instructions | |
| Extremely Important | 86 (84.3) |
| Very Important | 8 (7.8) |
| Moderately Important | 5 (4.9) |
| Somewhat Important | 1 (1) |
| Not at all important | 2 (2) |
Ways a pharmacist can help participants understand prescription warning labels (n=103).
| Suggestion | Number (%) |
|---|---|
| Pharmacist counseling | 63 (61.2) |
| Other | 10 (9.7) |
| Nothing will be helpful | 8 (7.8) |
| Drug information sheet | 7 (6.8) |
| Counseling with information sheet | 7 (6.8) |
| Pharmacists are already doing well | 6 (5.8) |
Logistic regression (odds ratio and 95% confidence interval) analysis of predictors of attentiveness to prescription warning labels (n=97).
| Variable | Odd ratios (95% CI) |
|---|---|
| Age | 42 (38.2) |
| 18-29 | 1.0 |
| 30-64 | 0.42 (0.01-13.14) |
| ≥ 65 | 0.67 (0.09-5.22) |
| Gender † | |
| Female | 1.0 |
| Male | 0.17 (0.03-0.88) |
| Racial background | |
| White, not Hispanic | 1.0 |
| American Indian | 1.05 (0.12-9.18) |
| Other | 0.48 (0.07-3.33) |
| Health literacy | |
| Limited literacy | 1.0 |
| Possible limited literacy | 0.25 (0.04-1.57) |
| Adequate literacy | 2.67 (0.16-45.95) |
| Number of medications | 0.98 (0.93-1.04) |
| a. Original data n=103. n=6 respondents who
had missing data from all other variables and were excluded from
analysis. | |