| Literature DB >> 25565895 |
Saja Almazrou1, Hind Alsahly1, Huda Alwattar1, Lamya Alturki1, Mona Alamri1.
Abstract
BACKGROUND: Most liquid medications are packaged with administration devices, which may be used inappropriately or inaccurately, and sometimes are not used at all. Because of the importance of their proper use for children's health, this study was designed to assess Saudi mothers' experiences with measuring cups, syringes, and droppers for oral liquid medications; to compare accuracy of dosing across these devices; and to determine the effects of mothers' education statuses and pharmacist counseling on dosing accuracy.Entities:
Keywords: accurate; counselling; cup; dropper; education; paracetamol; syringe
Year: 2014 PMID: 25565895 PMCID: PMC4278728 DOI: 10.2147/DHPS.S72315
Source DB: PubMed Journal: Drug Healthc Patient Saf ISSN: 1179-1365
Characteristics of the study population (n=575)
| Characteristic | Number of mothers | % |
|---|---|---|
| Age (years) | ||
| 17–25 | 73 | 13 |
| 26–35 | 265 | 46 |
| 36–45 | 190 | 33 |
| 46 and above | 47 | 8 |
| Education status | ||
| Illiterate | 29 | 5 |
| Elementary school | 84 | 15 |
| Middle school | 86 | 15 |
| High school | 169 | 29 |
| College and higher | 207 | 36 |
| Number of children | ||
| One | 102 | 18 |
| Two or more | 473 | 82 |
| Preferred measuring device | ||
| Dosing cup | 240 | 30 |
| Syringe | 447 | 56 |
| Dropper | 63 | 8 |
| Household spoon | 36 | 5 |
| Measuring spoon | 6 | 1 |
| Previous counseling | ||
| Yes | 133 | 23 |
| No | 442 | 77 |
Figure 1Observed dosing accuracy by dosing instrument type.
Multinomial logistic regression to determine the effect of participants’ demographic factors on dosing error using a cup
| Predictor factors | Relative risk ratio | 95% confidence interval | |
|---|---|---|---|
| Overdosing | |||
| Age (years) | |||
| 26–35 | 1.26 | 0.70–2.28 | 0.42 |
| 36–45 | 0.68 | 0.35–1.31 | 0.25 |
| 46 and above | 0.81 | 0.34–1.91 | 0.64 |
| Education | |||
| Elementary school | 0.46 | 0.17–1.24 | 0.12 |
| Middle school | 0.34 | 0.12–0.93 | 0.03 |
| High school | 0.17 | 0.06–0.45 | 0.00 |
| College and higher | 0.15 | 0.06–0.41 | 0.00 |
| Number of children | 5.2 | 1.8–14.6 | 0.001 |
| Pharmacist counseling | 1.11 | 0.73–1.69 | 0.61 |
| Underdosing | |||
| Age (years) | |||
| 26–35 | 0.40 | 0.13–1.19 | 0.10 |
| 36–45 | 0.39 | 0.12–1.22 | 0.01 |
| 46 and above | 0.14 | 0.01–1.37 | 0.09 |
| Education | |||
| Elementary school | 0.19 | 0.01–3.6 | 0.27 |
| Middle school | 0.80 | 0.07–8.2 | 0.85 |
| High school | 0.90 | 0.09–8.3 | 0.92 |
| College and higher | 0.699 | 0.07–6.4 | 0.75 |
| Number of children | 4.00 | 0.33–47.2 | 0.27 |
| Pharmacist counseling | 1.62 | 0.72–3.6 | 0.23 |
Notes:
No error was used as the base outcome;
the age category 17–25 was used as reference;
illiterate was used as reference;
one child was used as reference;
no counseling was used as reference.
Multinomial logistic regression to determine the effect of participants’ demographic factors on dosing error using a dropper
| Predictor factors | Relative risk ratio | 95% confidence interval | |
|---|---|---|---|
| Overdosing | |||
| Age (years) | |||
| 26–35 | 0.65 | 0.16–2.62 | 0.55 |
| 36–45 | 0.85 | 0.20–3.48 | 0.82 |
| 46 and above | 0.56 | 0.07–4.06 | 0.56 |
| Education | |||
| Elementary school | 2.23 | 0.23–21.7 | 0.48 |
| Middle school | 1.24 | 0.12–11.9 | 0.85 |
| High school | 0.54 | 0.05–5.39 | 0.60 |
| College and higher | 1.68 | 0.19–14.75 | 0.63 |
| Number of children | 3.58 | 0.26–48.9 | 0.33 |
| Pharmacist counseling | 1.24 | 0.56–2.74 | 0.58 |
| Underdosing | |||
| Age (years) | |||
| 26–35 | 0.51 | 0.29–0.92 | 0.027 |
| 36–45 | 0.54 | 0.28–1.03 | 0.063 |
| 46 and above | 0.97 | 0.41–2.30 | 0.95 |
| Education | |||
| Elementary school | 0.96 | 0.36–2.56 | 0.944 |
| Middle school | 0.34 | 0.13–0.90 | 0.03 |
| High school | 0.28 | 0.11–0.72 | 0.008 |
| College and higher | 0.29 | 0.11–0.74 | 0.009 |
| Number of children | 3.18 | 1.18–8.54 | 0.022 |
| Pharmacist counseling | 0.82 | 0.54–1.25 | 0.374 |
Notes:
No error was used as the base outcome;
the age category 17–25 was used as reference;
illiterate was used as reference;
one child was used as reference;
no counseling was used as reference.
Multinomial logistic regression to determine the effect of participants’ demographic factors on dosing error using a syringe
| Predictor factors | Relative risk ratio | 95% confidence interval | |
|---|---|---|---|
| Overdosing | |||
| Age (years) | |||
| 26–35 | 0.98 | 0.43–2.20 | 0.96 |
| 36–45 | 0.63 | 0.24–1.62 | 0.34 |
| 46 and above | 1.08 | 0.31–3.7 | 0.90 |
| Education | |||
| Elementary school | 0.29 | 0.09–0.88 | 0.02 |
| Middle school | 0.19 | 0.05–0.61 | 0.005 |
| High school | 0.08 | 0.02–0.26 | 0.00 |
| College and higher | 0.08 | 0.02–0.26 | 0.00 |
| Number of children | 3.77 | 1.14–12.4 | 0.02 |
| Pharmacist counseling | 1.09 | 0.60–1.99 | 0.76 |
| Underdosing | |||
| Age (years) | |||
| 26–35 | 1.18 | 0.61–2.28 | 0.61 |
| 36–45 | 1.55 | 0.76–3.16 | 0.227 |
| 46 and above | 3.37 | 1.35–8.38 | 0.009 |
| Education | |||
| Elementary school | 0.66 | 0.22–1.92 | 0.44 |
| Middle school | 0.58 | 0.19–1.73 | 0.33 |
| High school | 0.52 | 0.18–1.47 | 0.22 |
| College and higher | 0.52 | 0.18–1.44 | 0.21 |
| Number of children | 0.80 | 0.26–2.44 | 0.70 |
| Pharmacist counseling | 0.70 | 0.44–1.12 | 0.14 |
Notes:
No error was used as the base outcome;
the age category 17–25 was used as reference;
illiterate was used as reference;
one child was used as reference;
no counseling was used as reference.