# Self-Medication Practices among Parents in Italy

Authors: Luca Garofalo; Gabriella Di Giuseppe; Italo F. Angelillo
Journal: BioMed Research International
 (2015)

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## Abstract

The aims of this cross-sectional survey were to document the prevalence, the determinants, and the reasons of oral medication use without the prescription of a physician among a random sample of 672 parents of students attending randomly selected public schools in Italy. A total of 69.2% practiced self-medication at least once. The odds of having performed a self-medication were higher in females, in younger population, and in those who have had a health problem in the preceding year and were lower in respondents with a middle or lower school level of education. Among those reporting experience of self-medication, 53.4% have practiced at least once in the last year and this was more likely for those who have had a health problem. Nonsteroidal anti-inflammatory drugs were more frequently used without a prescription in the last year. Two-thirds inappropriately self-medicated in the last year at least once. Of those who did not report a self-medication, 13.1% were willing to practice it. Females were more willing and those with a secondary school level of education less willing to practice self-medication. The frequency of oral self-medication was quite high and in most cases inappropriate with a potential impact on the health status and educative programs are needed.


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## Body

## 1. Introduction

Self-medication is still an important public health problem throughout the world, since it is a fairly common practice. Unjustified and inappropriate self-medication results in wastage of healthcare resources and increases resistance of pathogens, drug-drug interactions, and adverse drug reactions leading to hospital admissions [1–4]. Sociocultural and socioeconomic characteristics, the previous experience with a symptom or disease, the attitude toward a disease, the way in which healthcare is funded or reimbursed, the increased potential to manage illnesses through self-care, and the availability of medicinal products have been quoted as explanatory factors of the self-medication [5–7].In the past several years, self-medication has been studied in many areas and several articles have provided the prevalence among healthcare services attendants [4, 8–10], general population of adults [11–15] and adolescents [16–18], university students [19–22], and individuals with different health problems [23–26]. To our knowledge, no information is available regarding the self-medication prevalence in the community in Italy. Therefore, it is important to have data on self-medication in this area so that future interventions can be planned. Hence, the objectives of the present survey carried out in the general population in Italy were to document the prevalence of oral medication use without the prescription of a physician and to investigate the determinants and reasons that influence such practice.


## 2. Materials and Methods

From October through December 2012, a cross-sectional epidemiological study was conducted in the cities of Naples and Salerno, Italy. The study participants were a random sample of 989 parents of children aged 3–18 years within randomly selected classes in randomly selected public schools.The manager of each selected school provided permission to conduct the study. After the approval, each child in the randomly selected classes at a participating school received an envelope from the research team addressed to the parents including an information sheet, an informed consent form, a copy of the questionnaire, and a self-addressed envelope for returning to the research team only the questionnaire. The predefined information sheet included the purpose and the procedure of the study, that participant privacy and confidentiality would be protected since no names or other personally identifying information were recorded, and asking only one parent to participate. The information regarding the voluntary nature of participation and the anonymity of the responses was also printed at the beginning of the questionnaire. Written informed consent was obtained from all the respondents and returned to the school manager. The interviewees did not receive any incentive to participate in the study.The sample size necessary to reach the study objectives was estimated considering a 95% confidence interval, a 5% margin of error, and an expected 50% of subjects who have practiced an oral self-medication. With an allowance of 50% for nonresponse, the total sample size was estimated at 770 subjects.The study team designed the questionnaire and conducted a preliminary pilot test on 40 subjects in order to test items’ understandability and content validity. Data collected from these participants were used to make final refinements to the instrument. The questionnaire was reused on the same subjects to collect the same data a month later. The internal consistency and the reproducibility were assessed, respectively, by Cronbach’sα and Cohen’s kappa. The results of the pilot study showed a good consistency with α values higher than 0.9 and in relation to the reproducibility of each item, values were 0.8 or higher. Each enrolled participant filled in the questionnaire that had four sections. In the first section, there was included data on the basic demographics (gender, age, the highest attained education qualification, marital status, number of sons, and employment status), self-reported medical conditions, and self-rated health using a ten-point Likert-type scale ranging from poor (1 point) to excellent (10 points). In the second section, the participants were asked about the personal access to the healthcare services in the previous twelve months. In the third section, the respondents were asked whether they used an oral medication without the prescription of a physician. For those who reported a self-medication in the previous twelve months, information was asked regarding their medical history and the drugs/drug groups used for self-medication, the dosage and the duration of medication, and also the reasons for self-medication. For those who did not report a self-medication, they were asked about their willingness to practice medication without the prescription of a physician. In the last section, questions about the main source of and the needs of additional information regarding the use of medicines were collected.Assessment of appropriateness of the self-medication for individual subjects was conducted using a tool adapted from the validated instrument Medication Appropriateness Index (MAI) [27].Ethical approval was obtained from the Ethical Committee of the Second University of Naples which reviewed the proposal, questionnaire, and consent form before providing clearance.


## 3. Statistical Analysis

The statistical analysis has been completed in two stages. Initially, a series of Student’st-test for independent samples to assess differences between means and chi-square test to assess categorical differences were conducted to identify potential candidate variables for the logistic regression models. Following this stage, those variables achieving in the bivariate analysis a P value ≤ 0.25 were included in the multivariate logistic regression models, using backward stepwise regression of variables, to examine the effects of each independent variable on the different outcomes of interest. The criterion for entering and exiting the variables in the model was, respectively, being of P value > 0.2 and P value < 0.4. Four multivariate logistic regression models have been constructed: having used at least once some form of oral self-medication (Model 1); having used at least once some form of oral self-medication in the twelve-month period preceding the study (Model 2); appropriateness of oral self-medication (Model 3); and willingness to practice medication without the prescription of a physician (Model 4). The following characteristics of the respondent were included in all models: gender (male = 0; female = 1), age (continuous, in years), educational level (three categories: primary school or lower = 1; secondary school = 2; college degree or higher = 3), occupation (unemployed = 0; employed = 1), number of sons (three categories: one = 1; two = 2; three or more = 3), suffering of at least one chronic disease (cardiovascular diseases, diabetes, obesity, and hypertension) (no = 0; yes = 1), self-perceived health status (continuous), having personal health problem in the preceding twelve months (no = 0; yes = 1), visiting the physician in the preceding twelve months (no = 0; yes = 1), physicians as source of information about medicines (no = 0; yes = 1), and need of additional information about medicines (no = 0; yes = 1).The results of the logistic regression models are presented as adjusted odds ratios (ORs) along with their 95% confidence intervals (CIs). A probability level ofP
≤
0.05 based on two-sided statistical tests was considered as denoting statistical significance. Data was analyzed using Stata version 10.1 software package [28].


## 4. Results

Out of 989 randomly selected people, in total, 672 participated for a response rate of 67.9%. The principal characteristics of the parents who filled the survey and their relationship on having some form of self-medication are detailed in Table1. Approximately two-thirds were females; their mean age was 45.5 years and the vast majority had a secondary education level or higher; one-third were unemployed, the vast majority had more than one son; and three-quarters reported a personal history of chronic disease. Only 12.8% respondents rated their health as being very good, more than half reported never having a personal health problem in the preceding twelve months, and two-thirds reported that they had visited their doctor within the last twelve months.Table 1
Characteristics of study participants and self-medication practices.
Characteristics
Total
Self-medication practice
Last year self-medication practice
Last year appropriateness self-medication
Yes = 465 (69.2%)
No = 207 (30.8%)
Yes = 334 (71.8%)
No = 131 (28.2%)
Yes = 115 (34.4%)
No = 219 (65.6%)
N
%
N
%
N
%
N
%
N
%
N
%
N
%
Gender
Male
182
27.1
112
24.1
70
33.8
85
25.5
27
20.6
23
20
62
28.3
Female
490
72.9
353
75.9
137
66.2
249
74.5
104
79.4
92
80
157
71.7
P
=
0.009
P
=
0.27
P
=
0.1
Age
45.5   ±   6.7  (24–70)*
45   ±   6.5  (24–70)*
46.6   ±   7  (32–68)*
44.8   ±   6  (24–65)
45.5   ±   7.6  (30–70)
44.1 ± 6 (31–64)*
45.1 ± 6 (24–65)*
<40
106
15.8
82
17.6
24
11.6
57
17.1
25
19.1
21
18.3
36
16.4
40–44
205
30.5
144
31
61
29.5
104
31.1
40
30.5
41
35.6
63
28.8
45–49
216
32.1
150
32.3
66
31.9
113
33.8
37
28.2
39
33.9
74
33.8
>49
145
21.6
89
19.1
56
27
60
18
29
22.2
14
12.2
46
21
P
=
0.003
P
=
0.26
P
=
0.18
Educational level
Primary school or lower
94
14
45
9.7
49
23.7
34
10.2
11
8.4
9
7.8
25
11.4
Secondary school
308
45.8
217
46.7
91
43
150
44.9
67
51.1
51
44.4
99
45.2
College   degree or higher
270
40.2
203
43.6
67
32.3
150
44.9
53
40.5
55
47.8
95
43.4
P
≤
0.001
P
=
0.47
P
=
0.52
Occupation
Employed
436
64.9
311
66.9
125
60.4
228
68.3
83
63.4
75
65.2
153
69.9
Unemployed
236
35.1
154
33.1
82
39.6
106
31.7
48
36.6
40
34.8
66
30.1
P
=
0.1
P
=
0.31
P
=
0.39
Number of sons
1
96
14.3
67
14.4
29
14
48
14.4
19
14.5
15
13.1
33
15.1
2
395
58.8
274
58.9
121
58.5
198
59.3
76
58
71
61.7
127
58
≥3
181
26.9
124
26.7
57
27.5
88
26.3
36
27.5
29
25.2
59
26.9
P
=
0.97
P
=
0.97
P
=
0.79
Self-perceived health status
7.7   ±   1.5  (1–10)*
7.7   ±   1.4  (2–10)*
7.6   ±   1.7  (1–10)*
7.7   ±   1.4  (2–10)*
7.7   ±   1.4  (4–10)*
7.9 ± 1.4 (2–10)*
7.5 ± 1.4 (2–10)*
P
=
0.89
P
=
0.87
P
=
0.01
Suffering of at least one chronic disease
No
172
25.6
115
24.7
57
27.5
252
75.5
98
74.8
92
80
160
73.1
Yes
500
74.4
350
75.3
150
72.5
82
24.5
33
25.2
23
20
59
26.9
P
=
0.44
P
=
0.89
P
=
0.16
Personal health problem in the preceding twelve months
No
370
55.1
243
52.3
127
61.3
163
48.8
80
61.1
69
60
94
42.9
Yes
302
44.9
222
47.7
80
38.7
171
51.2
51
38.9
46
40
125
57.1
P
=
0.03
P
=
0.02
P
=
0.003
Had visited the physician in the preceding twelve months
No
176
26.2
123
26.5
53
25.6
81
24.2
42
32.1
36
31.3
45
20.5
Yes
496
73.8
342
73.5
154
74.4
253
75.8
89
67.9
79
68.7
174
79.5
P
=
0.82
P
=
0.09
P
=
0.03
Physicians as source of information about medicines
No
198
29.5
145
31.2
53
25.6
107
32
38
29
35
30.4
72
32.9
Yes
474
70.5
320
68.8
154
74.4
227
68
93
71
80
69.6
147
67.1
P
=
0.14
P
=
0.53
P
=
0.65
Need of additional information about medicines
No
228
33.9
302
65
142
68.6
215
64.4
87
66.4
83
72.2
132
60.3
Yes
444
66.1
163
35
65
31.4
119
35.6
44
33.6
32
27.8
87
39.7
P
=
0.36
P
=
0.68
P
=
0.03
*Mean ± standard deviation (range).Of the 672 participants, 465 (69.2%) stated that they had used an oral medication without the prescription of a physician at least once in their lives. The odds of having performed at least once some form of oral self-medication were higher in females (OR = 1.52; 95% CI 1.03–2.23), in those younger (OR = 0.96; 95% CI 0.93–0.99), and in individuals who have had a personal health problem in the preceding twelve months (OR = 1.64; 95% CI 1.15–2.34), whereas the odds were lower in respondents with a middle or lower school level of education (OR = 0.24; 95% CI 0.14–0.41) compared with those with a college degree or higher (Model 1 in Table2). Among participants reporting an experience of oral self-medication, 334 (71.8%) reported having done so at least once in the 12-month period preceding the study. The likelihood of having ever performed a self-medication in the last year was more likely for individuals who have had a personal health problem in the preceding twelve months (OR = 1.65; 95% CI 1.09–2.48) (Model 2 in Table 2). The analysis of the drugs/drug groups used for oral self-medication by the 334 respondents in the 12-month period preceding the study showed that a total of 560 episodes were reported and the nonsteroidal anti-inflammatory drugs (NSAIDs) (83.5%) were most commonly used, whereas less frequently antibiotics (26.7%), antacids (4.2%), and corticosteroids (3.4%) have been used.Table 2
Logistic regression models for potential determinants of the different outcomes of interest.
OR
95% CI
P value
Model 1. Have taken at least once some form of self-medication (n
=
672)
Educational level
Primary school or lower
0.24
0.14–0.41
<0.001
Secondary school
0.69
0.47–1.01
0.051
College degree or higher
1.0*
—
—
Age
0.96
0.93–0.99
0.003
Personal health problem in the preceding twelve months
1.64
1.15–2.34
0.006
Gender
1.52
1.03–2.23
0.03
Physician as source of information about medicines
0.69
0.47–1.02
0.06
Model 2: Self-medication in the twelve-month period preceding the study (n
=
465)
Health problem in the preceding twelve months
1.65
1.09–2.48
0.02
Model 3: Appropriateness of oral self-medication (n
=
334)
Gender
1.74
0.99–3.05
0.051
Need of additional information about medicines
0.63
0.38–1.04
0.07
Self-perceived health status
1.17
0.38–1.07
0.09
Personal health problem in the preceding twelve months
0.64
0.8–5.41
0.14
Had visited the physician in the preceding twelve months
0.74
0.42–1.31
0.31
Model 4: Willing to practice medication without the prescription of a physician (n
=
207)
Gender
3.4
1.15–10.1
0.03
Educational level
Primary school or lower
0.19
0.03–1.13
0.07
Secondary school
0.34
0.12–0.94
0.04
College degree or higher
1.0*
—
—
Occupation
2.89
0.81–10.24
0.1
Personal health problem in the preceding twelve months
2.07
0.8–5.41
0.14
Had visited the physician in the preceding twelve months
2.79
0.7–11.08
0.14
Age
1.05
0.98–1.12
0.19
*Reference category.Participants engaged in self-medication most frequently because they felt that the illness was too mild and they did not require the services of a doctor (84.1%); other reasons were that they used an old prescribed medication (32.9%) and that they were prompted by a pharmacist (29%). A total of 65.6% respondents inappropriately self-medicated in the 12-month period at least once. No variables were identified as significantly predictive of this outcome in the multivariate logistic regression model (Model 3 in Table2).Of the 207 participants who neither reported an oral self-medication, 13% were willing to practice medication without the prescription of a physician. A multiple logistic regression model was developed with several variables being independent predictors of intention to practice self-medication. Females (OR = 3.4; 95% CI 1.15–10.1) were willing to practice self-medication, whereas those having a secondary school level of education (OR = 0.34; 95% CI 0.12–0.94) were less willing compared with those of higher education (Model 4 in Table2). In the self-medication willingness group, an emergency (44.4%) and having a mild illness (40.7%) were motivating factors in their decision, whereas, among those who stated that they would not consider self-medication, the most common reasons were that they trust in the physician (65%) and that they were concerned about the risk of side effects (42.2%).For this sample, the main source of information on the use of medicines is the physician (70.5%), followed by information leaflet (63.5%) and pharmacist (39.9%), but they are also influenced by the internet (16.4%) and the media (4.6%). One-third (33.9%) of the respondents reported the need to obtain more information about the use of medicines.


## 5. Discussion

This observational survey provided the opportunity to examine the practices of oral self-medication among a large community in Italy and the findings represent a detailed characterization of the prevalence of this phenomenon and how different factors influence self-care, adding to the limited information and contributing to the existing literature.The results of the survey indicate that oral self-medication is a common experience in the general population. According to similar studies, the prevalence of self-medication was lower than the values of 87% among Palestinian population [15] and of 75% in consumers of community pharmacies in Chile [11]. A study in Nigeria showed that 67.7% of the mothers treated their infants with colic without consulting a doctor [29]. The prevalence observed was higher than that in the general population in Jordan with a self-medication reported by 42.5% of cases interviewed [12], by 53.5%, although during the last 30 days, among older residents in Mexico [16], and by 18.1% of the Spanish adult population [30]. Moreover, surveys regarding the frequency of self-medication of antibiotics showed a huge variation with values of 7.8% among the Chinese in Hong Kong [31], 23% in the population of twelve countries in Europe [32], and 32.7% in the general population in the same area of the present study [33]. Widespread use and misuse of antibiotics in the community are of particular concern since antimicrobial-resistant bacteria are common in communities with frequent nonprescription use and an excessive and inappropriate use determine an increased risk of side effects and a significant economic impact [34, 35]. Efforts to contain unnecessary antibiotic use are necessary in order to restrict the spread of antimicrobial-resistant organisms.The top drugs self-used by the respondents were the NSAIDs and this is in accordance with the already mentioned studies conducted in Chile [11, 13]. Motivating factors for self-medications were also investigated. The vast majority of the interviewees performed a self-medication because they felt that the illness was nonserious and they did not require the services of a doctor. This is consistent with previous studies where the most common reason was that the ailments were too minor to see a doctor [11, 12, 15]. It is interesting to observe that approximately one-fourth of those engaged in self-medication were prompted by pharmacists. Although our regulations do not allow pharmacists to prescribe drugs, this may be explained by the fact they are more easily accessible and the service is faster.In this population, the results of the multivariate logistic regression analysis demonstrated that several factors emerged as being significantly associated with the different outcomes of interest. Self-medication practice was strongly influenced by sociodemographic indicators such as gender, age, and educational level. Indeed, participants seeking self-treatment were predominantly female, younger, and more educated—a proxy for socioeconomic status. Differences in the frequency of self-medication by gender were well documented in the literature, with older women more frequently self-medicated. In Spain, the women had a higher probability of indulging in self-medication [30]; in Brazil, among first- and last-year students enrolled in healthcare and nonhealthcare programs; being male was a protection factor against self-medication [19] and women with endocrinopathies and metabolic diseases used more dietary supplements [24]. In adults in an urban setting in Jordan, those who had taken at least one medication without prescription were more likely to be younger [12] and in the survey in Hong Kong respondents aged below 40 were more likely to buy nonprescribed antibiotics [31]. Among the sample in Spain, a greater probability of self-medication was observed among those with a higher level of education [30]. Moreover, it is interesting to observe that respondents with a personal health problem in the preceding twelve months were more likely to perform self-medication.The results of this study should be interpreted keeping in mind some limitations. The primary limitation is the design that was used, in the sense that cross-sectional studies do not permit ascertaining causal inferences for the effects of the dependent variables on the outcomes. Second, this study utilized a sample of parents of schooled children from one Italian region and concern about generalizability of the results may arise. This population, compared to the general population, probably underestimates people older than 50 years and excludes those without sons. Third, this study utilized a sample of self-identified parent, which is vulnerable to selection bias as those in the family with strong interest in this topic might have preferentially responded. However, any significant difference within the family was not expected. Fourth, the participant self-reported the information, with the inability of the researchers to validate with objective measures the answers and some may overreport socially desirable attitudes and/or behaviors or underreport socially undesirable attitudes and/or behaviors. The absence of identifying data on the questionnaire sheets would tend to minimize such bias. Fifth, as in all survey research, those who did not return the survey may have beliefs and behaviors that differ from those that responded. However, in spite of these limitations, the main strength of this study is the use of a large and properly selected sample.In conclusion, the frequency of self-medication was quite high within this community, mainly in female, younger, and more educated groups, and was in most cases inappropriate with a potential impact on the health status and, therefore, educative and preventive programs are needed.



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