Abstract
Background
Unused medicines are those that are expired, discontinued, deteriorated, and/or not intended for any future use. The aim of this study was to assess the prevalence of unused medicines and predicting factors in households of Awi zone, Amhara regional state, Northwestern Ethiopia.
Methods
A community-based cross-sectional study was conducted. A survey of unused medicines was conducted through interviews with representatives of households. The collected data were entered with Epi Data version 3.1 and exported to SPSS version 21 for analysis. Predictors of storage of unused medicines were assessed through binary and multivariable logistic regression methods. A confidence interval of 95% and a P-value of <0.05 were considered to declare statistical significance.
Results
Of the total of 507 households surveyed, 70 (13.8%) were found to have unused medicines. These constituted twenty-eight types of unused medicines. Anti-infective medicines were the most commonly unused medicines, 58.9%. People who pay for medicines by themselves, those who lacked knowledge about medicines, and those who did not receive enough counseling about medicines they took were found to be 2.6, 4.8, and 3 times more likely to have unused medicines, respectively.
Conclusion
A significant amount of unused medicines was present in the community. Strategies aimed at educating the public regarding the safe disposal of unused medicines and an organized method of collection and disposal of unused medicines in the community need to be introduced.
1. Introduction
It is a common practice for patients to be in possession of unused medicines. Unused medicines represent those medicines that are expired, discontinued, deteriorated, and/or not intended for any future use. According to the World Health Organization report, globally there is only 50 percent adherence to prescriptions in long term condition medicines [1].
It was reported that about £37.6 million ($62.4 million US) of drugs were estimated to be wasted each year in England by disposal programs delivered by community pharmacies [2]. A similar study conducted at University Of Gondar Specialized Teaching Hospital found that the majority of the study participants (89.1%) had unused medicines [3].
Antipain medicines, antimicrobials, medicines for chronic conditions, and antipsychotic medicines were found to be among the most commonly reported unused medicines [4]. A study in Nigeria has also reported analgesics, antibiotics, and nutrition/blood preparations as the most commonly unused medicines in the community [5].
Unpleasant side effects, symptoms being relieved, forgetfulness, dosage changes/change of treatment, unclear instructions on medicine use, progression of illness, medicines reaching the expiration date, intention not to waste them, lack of knowledge about the proper disposal method, or the death of some patients due to life-ending morbidities while on medicine are the most commonly reported reasons for nonutilization of medicines [3, 6–13]. The high cost of medicines, lack of disposal method, or the possibility of needing these medicines again in the future may also cause patients to keep medicines [14].
When unused medicines are allowed to accumulate at home, they will pose a risk to public health through poisoning and suicide and to the environment through poor disposal practices [15]. Sharing of unused medicines is one of the major reasons for the various adverse health outcomes such as unmonitored adverse drug events [16], complications in clinical diagnosis [16], drug resistance [17], and delay in care-seeking [18].
Due to a lack of knowledge or a system for the proper disposal of unused medicines, people in possession of those medicines may manage them in different ways. Rinsing of unwanted medicines down a sink, flushing them down the toilet, and throwing them in the trash were some of the commonest disposal methods commonly practiced [4, 8, 11, 19–24].
There were reports of trace amounts of medicines found in groundwater, surface bodies of water, and drinking water [25]. There were also many reports of adverse effects of these pharmaceuticals in other species [26]. A study conducted in southeast Queensland identified a significantly higher level of antibiotic and multiple antibiotic resistance in E. coli at point source sites in wastewater treatment plants (WWTPs). Escherichia coli resistant to ampicillin, tetracycline, sulfamethoxazole, and ciprofloxacin was identified [27]. These findings may be a result of postconsumption excretion as well as improper disposal of medicines.
Many of the developed countries have advanced disposal programs of unused medicines. In Australia, there has been the National Return and Disposal of Unwanted Medicines Project since 1998, fully supported by the government and pharmaceutical industry [10]. In the United Kingdom, pharmacy take-back programs are more abundant [28]. In the United States, medication disposal programs have been implemented by pharmacies and law enforcement agencies under the Secure and Responsible Drug Disposal Act of 2010 (DEA, 2014) [29]. In developing countries like those in Africa, unused medicines disposal management appears to be more problematic as reports from many countries (Mozambique, South Africa, Kenya, and Swaziland) indicate unsafe disposal practices characterized by unregulated, illegal, and indiscriminate disposal of unused medicines [30, 31]. Thus, in most developing countries, including Ethiopia, besides the high economic impact of waste generation by itself, medical waste management currently receives very little attention [32].
National survey data indicated that, in Ethiopia, the national average for availability of key essential drugs in health facilities was 70%, 85%, and 91% for public health facilities, regional drug stores, and private drug retail outlets, respectively. Public health facilities were the main sources of medicines (71%) followed by private pharmacies (18%) while the contribution of the informal sector as source of drugs was insignificant (<1%). The average number of drugs prescribed per encounter was also found to be 1.9, and the percentage of antibiotic use was 58% [33]. In countries like Ethiopia, where the majority (>80%) of the national medicines need is supplied by importation, medication wastage is therefore an additional burden.
Lack of uniform and nationwide guidance on how patients should safely dispose unused medications is also of great concern. The extent and problem of unused, expired, and unwanted medicines have not been fully studied in Ethiopia. As such, with due regard to the environmental, financial, and health-related consequences of unused medicines, the main purpose of this study was to determine the magnitude, types, and financial cost of unused medicines together with their disposal practice at households of Awi zone, Amhara regional state.
2. Methods
2.1. Study Design
A community-based cross-sectional study was conducted. A structured interviewer-administered questionnaire was used for data collection.
2.2. Study Area and Period
The study was conducted on households in Awi zone, Amhara regional state, Ethiopia. Awi zone is one of the 15 zones (including the 3 special (city) zones) found in the Amhara National Regional State. It is located at 700–2920 meters above sea level, and its land area is estimated at about 857,886 hectares. Based on the 2015 national census data and using a conversion factor, its population in 2018 is estimated to be around 1,264,203, of which 1,057,604 are rural residents and 206,599 are urban residents. Of the total population, 50.1% are male and 49.9% are female residents. The study was conducted from 23 April to May 22, 2018.
2.3. Sample Size Determination
The sample size was calculated using a single population proportion formula [34]. In the absence of previous prevalence data, it is advised to take 50% to get a maximum sample size, and thus the proportion of households with unused medicines was assumed to be 50% [34]. Considering the homogeneity of the population, taking a design effect of 1.2 and a 10% nonresponse rate, the final sample size was 507 households.
2.4. Sampling Techniques
A total of 23 kebeles (the smallest administrative unit in Ethiopia) (2 urban and 21 rural kebeles) from four woredas were selected using a multistage sampling technique. In this technique, the first step was taking a sample of woredas; thus, among the total 12 woredas found in Awi zone, 4 woredas were selected by taking 30% of the total woredas, and specific woredas were then selected by lottery method. Three rural woredas and one town administration were selected. Then, the number of kebeles to be sampled at each of the sampled woredas was determined by taking 30% of the total number of kebeles at each of those woredas. Specific kebeles were then selected using systematic random sampling technique using name of kebeles in alphabetic order as a sampling frame. The number of households to be sampled in each of the selected kebeles was determined using sample proportional to size method (by assigning the total sample size at that specific woreda to the total number of households at each of the selected kebeles), and specific households were selected using systematic random sampling technique by using house numbers from respective kebele offices as a sampling frame.
2.5. Data Collection Procedure
An adapted structured questionnaire was used after being modified to fit with the current study setup [9, 19, 35].
Seven health extension workers participated in the data collection. An adult member of a household who was well informed about the medicine taking behavior of the family was interviewed, and in situations where more than one such member was available, interviewees were selected randomly by using a lottery method.
The monetary value of medicines was determined by multiplying the unit cost of the medicines by the actual number of pills remaining in the container according to the list of drug prices provided by the Ethiopian Ministry of Health (EMOH). The monetary value of medicines includes only the price of medicines, not costs associated with handling the medicines or disposing of them or any other related costs.
2.6. Data Quality Assurance
Two-day training was provided for the data collectors. Pretest of the data collection instrument was conducted on 25 households prior to the actual data collection in order to check the applicability of the instrument and make necessary adjustments. These samples were not included in the final analysis. The collected data were checked for its completeness, consistency, and accuracy before entry to statistical software for analysis. The data were also cleaned for inconsistencies and missing values after entry to SPSS.
2.7. Data Processing and Analysis
The collected data were entered into Epi Data version 3.1 and then exported to SPSS version 21 for analysis. A chi-square test was conducted between different sociodemographic variables (independent variables) and the presence of unused medicine (the dependent variable). P-value of <0.05 was taken to declare significance at a 95% confidence interval. Predictors of unused medicines were identified using binary and multivariable logistic regression methods. Model fitness was checked by Nagelkerke's R2 test with the final model fit at P=0.215.
3. Results
3.1. Characteristics of the Respondents
A total of 507 households were included in the study. The majority of the study participants, 368 (72.6%), were female. The mean age of the study participants was 40 years, and the majority were between the ages of 30 and 65 (67.9%) (Table 1).
Table 1.
Characteristics of study participants at sampled woreda-kebeles in Awi zone, Amhara regional state, Ethiopia, 2018 N = 507.
| Variables | Number | Percent |
|---|---|---|
| Sex | ||
| Male | 139 | 27.4 |
| Female | 368 | 72.6 |
|
| ||
| Age | ||
| 18–30 | 147 | 29 |
| 31–40 | 127 | 25 |
| 41–50 | 144 | 28.4 |
| 51–60 | 60 | 11.8 |
| >60 | 29 | 5.7 |
|
| ||
| Educational level | ||
| No formal education | 264 | 52.1 |
| Primary education | 164 | 32.3 |
| Secondary education | 67 | 13.2 |
| Higher education | 12 | 2.4 |
|
| ||
| Monthly income (in ETB) | ||
| <500 | 193 | 38.1 |
| 500–1500 | 196 | 38.7 |
| 1501–2500 | 99 | 19.5 |
| >2500 | 19 | 3.7 |
|
| ||
| Marital status | ||
| Single | 32 | 6.3 |
| Married | 430 | 84.8 |
| Divorced | 27 | 5.3 |
| Widowed | 18 | 3.6 |
|
| ||
| Residency | ||
| Urban | 58 | 11.4 |
| Rural | 449 | 88.6 |
|
| ||
| Family size | ||
| Less than 3 | 74 | 14.6 |
| 3–5 | 260 | 51.3 |
| >6 | 173 | 34.1 |
3.2. Prevalence of Unused Medicine
At the time of data collection, out of the total 507 households surveyed, 91 (17.9%) were found to have any kind of medicine at home. At the same time, 70 (13.8%) of the households among the total 507 were found to have unused medicines.
Among the total unused medicines found, 40 (44.4%) were expired at the time of the data collection period (between April 23 and May 22/2018), while the remaining 50 (55.6%) of the medicines were not expired and were usable.
Regarding the source of their medicines, 486 (95.9%) of the respondents reported that they collect their medicines from public health facilities (pharmacies), 13 (2.5%) of them from a friend, and 8 (1.6%) from other sources (using previously stored medicines instead of buying new). With regard to self-medication practices, 51 (10.1%) reported that they sometimes buy medicines by themselves without consulting their physician. The same number of study participants, 51 (10.1%), had also reported that they share their medicines with their family members and friends who are in need of those medicines.
More than two-thirds of the respondents, 343 (67.7%), obtain their medicines through out-of-pocket expenditure, while 151 (29.8%) reported that health insurance has covered their healthcare expenses including their medicines, and the remaining 13 (2.5%) obtained for free from their friends. More than half of the study participants 287 (56.6%) reported that current medicines are costly, while the remaining 220 (43.4%) thought that the prices are fair.
The majority of the study participants, 322 (63.5%), reported that they were informed about the medicines they took, while the remaining 185 (36.5%) reported that they were not informed about their medicines.
The chi-square result also showed that there was a statistically significant difference at P-value <0.05, in the presence of unused medications with regard to differences in monthly income, marital status, a view that medicines once purchased can be used with no time limit, medications sharing, and medicine awareness (Table 2).
Table 2.
Chi-square test between having unused medicines at home and the independent variables N = 70.
| Variables | Presence of unused medicines | Chi-square | P-value | ||
|---|---|---|---|---|---|
| Yes (%) | No (%) | ||||
| Educational level | No formal education | 36 (51.4) | 228 (52.1) | 1.999 | 0.573 |
| Primary education | 24 (34.3) | 140 (32) | |||
| Secondary education | 7 (10.0) | 60 (13.7) | |||
| Higher education | 3 (4.3) | 9 (2) | |||
|
| |||||
| Monthly income | <500 | 35 (50) | 158 (36.2) | 9.479 | 0.024 |
| 500–1500 | 27 (38.6) | 169 (38.7) | |||
| 1501–2500 | 5 (7.1) | 94 (21.5) | |||
| >2500 | 3 (4.3) | 16 (43.2) | |||
|
| |||||
| Marital status | Single | 3 (4.3) | 29 (6.6) | 10.413 | 0.015 |
| Married | 53 (75.7) | 377 (86.3) | |||
| Divorced | 9 (12.9) | 18 (4.1) | |||
| Widowed | 5 (7.1) | 13 (3) | |||
|
| |||||
| Residency | Urban | 5 (7.1) | 53 (12.1) | 1.480 | 0.311 |
| Rural | 65 (92.3) | 384 (87.9) | |||
|
| |||||
| Source of medicines | Pharmacy | 66 (94.3) | 420 (96.1) | 0.839 | 0.657 |
| Friends and other | 4 (5.7) | 17 (3.9) | |||
|
| |||||
| Source of payment | Health insurance | 16 (22.9) | 148 (33.9) | 3.342 | 0.068 |
| Out of pocket | 54 (77.1) | 289 (66.1) | |||
|
| |||||
| Expensiveness of medicines | Yes | 47 (67.1) | 240 (54.9) | 3.670 | 0.055 |
| No | 23 (32.9) | 197 (45) | |||
|
| |||||
| A view that medicines once purchased can be used with no time limit | Yes | 18 (25.7) | 17 (3.9) | 44.715 | 0.001 |
| No | 52 (74.3) | 420 (96.1) | |||
|
| |||||
| Self-medication practice | Yes | 6 (8.6) | 45 (10.3) | 0.199 | 0.831 |
| No | 64 (91.4) | 392 (89.7) | |||
|
| |||||
| Sharing of medicines | Yes | 18 (25.7) | 33 (7.6) | 22 | 0.001 |
| No | 52 (74.3) | 404 (92.4) | |||
|
| |||||
| Awareness about medicines taken | Yes | 57 (81.4) | 265 (60.6) | 11.251 | 0.001 |
| No | 13 (18.6) | 172 (39.4) | |||
|
| |||||
| Experiencing mass education about unused medicines management | Yes | 3 (4.3) | 29 (6.6) | 0.564 | 0.601 |
| No | 67 (95.7) | 408 (93.3) | |||
The maximum number of unused medicines possessed by households was 5. Some households possessed more than one type of medicines and a total of 28 types of medicines in different dosage forms; 0.17 medicines per household were found (Table 3).
Table 3.
Types of unused medicines at households in sampled woreda-kebeles, Awi zone, Amhara regional state, Ethiopia, 2018, N = 90.
| Name of medicine | Therapeutic category | Unit | Frequency | Percentage | Quantity left |
|---|---|---|---|---|---|
| Amoxicillin 125 mg/5 ml syrup | Antibiotic | Bottle | 4 | 4.4 | 4 |
| Amoxicillin 250 mg capsules | Antibiotic | Capsule | 5 | 5.6 | 60 |
| Amoxicillin 500 mg capsules | Antibiotic | Capsule | 11 | 12.2 | 104 |
| Amox + clavulanic acid 625 mg tablet | Antibiotic | Tablet | 1 | 1.1 | 5 |
| Ampicillin 500 mg capsules | Antibiotic | Capsule | 1 | 1.1 | 2 |
| Azithromycin 250 mg tablet | Antibiotic | Tablet | 1 | 1.1 | 4 |
| Berantin cough | Antitussive | Bottle | 1 | 1.1 | 1 |
| Ceftriaxone 1 g injection | Antibiotic | Vial | 1 | 1.1 | 1 |
| Chloramphenicol 250 mg capsules | Antibiotic | Capsule | 1 | 1.1 | 8 |
| Ciprofloxacin 500 mg tablet | Antibiotic | Tablet | 3 | 3.3 | 30 |
| Clobetasol propionate | Corticosteroid | Tube | 1 | 1.1 | 3 |
| Cotrimoxazole 240 mg/5 ml oral susp. | Antibiotic | Bottle | 4 | 4.4 | 4 |
| Cotrimoxazole 480 mg tablet | Antibiotic | Bottle | 1 | 1.1 | 10 |
| Coartem 140 mg tablet | Antimalarial | Tablet | 5 | 5.6 | 24 |
| Doxycycline 100 mg capsules | Antibiotic | Capsule | 4 | 4.4 | 40 |
| Hydrochlorothiazide 25 mg tablet | Diuretic | Tablet | 1 | 1.1 | 10 |
| Ibuprofen 400 mg tablet | Antipain | Tablet | 1 | 1.1 | 10 |
| Indomethacin 25 mg tablet | Antipain | Tablet | 1 | 1.1 | 9 |
| Iron tablet | Nutritional supp. | Tablet | 1 | 1.1 | 3 |
| Iron with folic acid tablet | Nutritional supp. | Tablet | 4 | 4.4 | 108 |
| Methyldopa 250 mg tablet | Antihypertensive | Tablet | 1 | 1.1 | 20 |
| Metronidazole 250 mg capsules | Antibiotic | Capsule | 5 | 5.6 | 52 |
| Metronidazole 125 mg/5 ml bottle | Antibiotic | Bottle | 1 | 1.1 | 1 |
| Norfloxacin 400 mg tablet | Antibiotic | Tablet | 1 | 1.1 | 13 |
| Omeprazole 20 mg capsule | Antigastric ulcer | Capsule | 4 | 4.4 | 91 |
| Microgynon/levonorgestrel/0.15 mg tab. | Contraceptive | Tablet | 1 | 1.1 | 28 |
| Oral rehydration salts (ORS) | Nutritional supp. | Sachet | 2 | 2.2 | 2 |
| Paracetamol 100 mg tablet | Antipain | Tablet | 1 | 1.1 | 6 |
| Paracetamol 500 mg tablets | Antipain | Tablet | 12 | 13.3 | 100 |
| Spironolactone 25 mg tablet | Diuretic | Tablet | 1 | 1.1 | 10 |
| Tramadol 50 mg capsule | Antipain | Capsule | 2 | 2.2 | 48 |
| TTC eye ointment | Antibiotic | Tube | 3 | 3.3 | 4 |
| TTC HCl cream | Antibiotic | Tube | 1 | 1.1 | 1 |
| Zinc sulphate 20 mg tablet | Nutritional supp. | Tablet | 3 | 3.3 | 20 |
| Total | 90 | 100.0 | 836 |
Anti-infective medicines were found to be the most common unused medicines, 53 (58.9%), followed by antipain medicines, 16 (17.8%) (Figure 1).
Figure 1.
Types of unused medicines based on therapeutic categories at households in Awi zone, Amhara regional state, Ethiopia, 2018 N = 90.
The study participants were asked where they store medications they use (despite the availability of in-use medications at the time of data collection) and unused medications, and the majority of them had reported that they store both in-use and unused medicines in a shelf (chegot), 326 (64.3%) for in-use medicines and 37 (39.4%) for unused medicines. Some had reported more than one place for storage (Table 4).
Table 4.
Storage conditions of in-use and unused medicines at households in sampled woreda-kebeles in Awi zone, Amhara regional state, Ethiopia, 2018 N = 507.
| Storage place | In-use medications | Unused medications | Chi-square | P-value | ||
|---|---|---|---|---|---|---|
| Frequency | Percent (%) | Frequency | Percent (%) | |||
| Shelf (chegot) | 326 | 64.3 | 37 | 7.3 | 71.021 | 0.003 |
| Box | 147 | 29.0 | 36 | 7.1 | ||
| 10 | 2.0 | 5 | 1.0 | |||
| Bag | 5 | 1.0 | 4 | 0.8 | ||
| Basket (agelgil) | 10 | 2.0 | 9 | 1.8 | ||
| Cupboard | 6 | 1.2 | 3 | 0.6 | ||
| Other (under a pillow) | 3 | 0.6 | 0 | 0 | ||
| Not storing | 0 | 0 | 413 | 81.5 | ||
| Total | 507 | 100 | 507 | 100 | ||
3.3. Reasons for the Presence of Unused Medicines
People who pay for medications out of pocket by themselves were found 2.6 times more likely to have unused medications (AOR = 2.59, 95% CI of (1.30, 5.16)). People who did not have enough knowledge about medications (those who think medications once purchased can be used forever) were also found 4.8 times more likely to have unused medications (AOR = 4.87, 95% CI of (1.97, 12.02)). Similarly, People who did not have enough awareness about medications they took were found 3 times more likely to have unused medications (AOR = 3.04, 95% CI of (1.45, 6.38)) (Table 5).
Table 5.
Predictors for the prevalence of unused medicines at sampled woreda-kebeles, Awi zone, Amhara regional state, Ethiopia, 2018 N = 507.
| Variables | Percentage of householders | Crude odds ratio | P-(<0.25) (COR) | Adjusted odds ratio | P-(<0.05) (AOR) |
|---|---|---|---|---|---|
| Monthly income (ETB) | |||||
| 1501–2500 | 99 (19.5%) | 3.52 (0.76,16.2) | 0.106 | 3.82 (0.78, 18.74) | 0.098 |
| >2500 | 19 (3.7%) | ||||
|
| |||||
| Marital status | |||||
| Single | 32 (6.3%) | 3.71 (0.77, 17.93) | 0.102 | 2.03 (0.32, 12.61) | 0.445 |
| Married | 430 (84.8%) | 2.73 (0.93, 7.98) | 0.065 | 1.87 (0.52, 6.66) | 0.331 |
| Widowed | 18 (3.6%) | ||||
|
| |||||
| Residence | |||||
| Urban | 58 (11.4%) | ||||
| Rural | 449 (88.6%) | 1.79 (0.69, 4.65) | 0.230 | 0.83 (0.25, 2.70) | 0.76 |
|
| |||||
| Source of payment for medicines | |||||
| Health insurance | 151 (29.8%) | ||||
| Out of pocket | 343 (67.7%) | 1.72 (0.95, 3.12) | 0.070 | 2.59 (1.30, 5.16) | 0.006 |
|
| |||||
| Feeling medicines are expensive | |||||
| Yes | 287 (56.6%) | 1.67 (0.98,2.85) | 0.057 | 1.85 (0.99, 3.48) | 0.053 |
| No | 220 (43.4%) | ||||
|
| |||||
| Thinking medicines have no expiry date (they can be used forever) | |||||
| Yes | 35 (6.9%) | 8.55 (4.15, 17.61) | 0.0000001 | 4.87 (1.97, 12.02) | 0.001 |
| No | 472 (93.1%) | ||||
|
| |||||
| Sharing of medicines with others | |||||
| Yes | 51 (10.1%) | 4.23 (2.22, 8.05) | 0.00001 | 1.49 (0.65, 3.40) | 0.339 |
| No | 456 (89.9%) | ||||
|
| |||||
| Awareness about medicines taken | |||||
| Yes | 322 (63.5%) | ||||
| No | 185 (36.5%) | 2.84 (1.51, 5.35) | 0.001 | 3.04 (1.45, 6.38) | 0.003 |
Forgetfulness was the most common reason for the presence of unused medicines, 35 (33.7%), followed by discontinuation of medicines due to fast improvement, 30 (28.8%). Unused medicines due to expiry, 18 (17.3%); intolerance of medicine side effects, 11 (10.6%); change of treatment, 9 (8.6%); and medicines left unused due to death of a patient, 1 (0.9%), were the most common reasons reported by the study participants for the presence of unused medicines at home. There were also participants, 35 (6.9%), who thought that medicines once purchased can be used indefinitely, thus having no expiry date.
3.4. Disposal Practice for Unused Medicines
Regarding awareness about management of unused medicines and proper disposal methods, only 145 (28.6%) study participants out of the total 507 reported that they have previously heard about management practices of unused medicines and proper disposal methods, while the remaining 362 (71.4%) reported that they have never heard of them before. Among the 145 study participants with previous information, 32 (22%) obtained information through mass education programs and the remaining 113 (78%) through other sources (mass media, friends, etc.). However, none of the study participants had reported that they have ever experienced a medicine take-back event. The majority of the study participants, 441 (87%), stated that they were not informed about proper medicines disposal methods by their physician or pharmacist.
When asked about how they manage unused medicines, 38 (7.5%) of the study participants reported that they share those medicines with others who need them, 82 (16.2%) reported that they might use them in the future, and the remaining 387 (76.3%) reported that they discarded those unused medicines. Flushing unused medicines down the toilet was the most common disposal method, 298 (58.8%), followed by throwing medicines in the trash, 83 (16.4%) (Figure 2).
Figure 2.
Disposal methods of unused medicines at households in Awi zone, Amhara regional state, Ethiopia, 2018 N = 70.
3.5. Monetary Value of Unused Medicines
The monetary value of unused medicines was determined for solid dosage forms (tablets and capsules) by multiplying the unit price of those medicines by the quantity left unused. A total of about 827ETB (29.5USD) worth of medicines, which is on average 1.6ETB (0.06USD) per household, was found unused (Table 6).
Table 6.
Cost of unused medicines at households in sampled woreda-kebeles in Awi zone, Amhara regional state, Ethiopia, 2018 N = 34.
| Name of medicine | Unit | Therapeutic category | Quantity left | Unit price | Total price |
|---|---|---|---|---|---|
| Amoxicillin 125 mg/5 ml syrup | Bottle | Antibiotic | 4 | — | — |
| Amoxicillin 250 mg capsules | Capsule | Antibiotic | 60 | 0.5 | 30 |
| Amoxicillin 500 mg capsules | Capsule | Antibiotic | 104 | 1.03 | 197.12 |
| Amox + clavulanic acid 625 mg tablet | Tablet | Antibiotic | 5 | 3.2 | 16 |
| Ampicillin 500 mg capsules | Capsule | Antibiotic | 2 | 1 | 2 |
| Azithromycin 250 mg tablet | Tablet | Antibiotic | 4 | 4.6 | 18.4 |
| Berantin cough | Vial | Antitussive | 1 | — | — |
| Ceftriaxone 1 g injection | Vial | Antibiotic | 1 | — | — |
| Chloramphenicol 250 mg capsules | Capsule | Antibiotic | 8 | 0.85 | 6.8 |
| Ciprofloxacin 500 mg tablet | Tablet | Antibiotic | 30 | 1.03 | 30.9 |
| Clobetasol propionate | Tube | Corticosteroid | 3 | — | — |
| Cotrimoxazole 240 mg/5 ml oral susp. | Bottle | Antibiotic | 4 | — | — |
| Cotrimoxazole 480 mg tablet | Bottle | Antibiotic | 10 | 0.4 | 4 |
| Coartem 140 mg tablet | Tablet | Antimalarial | 24 | 1.11 | 26.64 |
| Doxycycline 100 mg capsules | Capsule | Antibiotic | 40 | 0.86 | 34.4 |
| Hydrochlorothiazide 25 mg tablet | Tablet | Diuretic | 10 | 0.5 | 5 |
| Ibuprofen 400 mg tablet | Tablet | Antipain | 10 | 0.45 | 4.5 |
| Indomethacin 25 mg tablet | Tablet | Antipain | 9 | 0.41 | 3.69 |
| Iron tablet | Tablet | Nutritional supp. | 3 | 0.55 | 1.65 |
| Iron with folic acid tablet | Tablet | Nutritional supp. | 108 | 0.62 | 66.96 |
| Methyldopa 250 mg tablet | Tablet | Antihypertensive | 20 | 0.96 | 19.2 |
| Metronidazole 250 mg capsules | Capsule | Antibiotic | 52 | 0.33 | 17.16 |
| Metronidazole 125 mg/5 ml bottle | Bottle | Antibiotic | 1 | — | — |
| Norfloxacin 400 mg tablet | Tablet | Antibiotic | 13 | 1.12 | 14.56 |
| Omeprazole 20 mg capsule | Capsule | Antigastric ulcer | 91 | 0.46 | 41.86 |
| Microgynon/levonorgestrel/0.15 mg tab. | Tablet | Contraceptive | 28 | 6.9 | 193.2 |
| Oral rehydration salts (ORS) | Sachet | Nutritional supp. | 2 | 8.95 | 17.9 |
| Paracetamol 100 mg tablet | Tablet | Antipain | 6 | 0.13 | 0.78 |
| Paracetamol 500 mg tablets | Tablet | Antipain | 100 | 0.2 | 20 |
| Spironolactone 25 mg tablet | Tablet | Diuretic | 10 | 1.03 | 10.3 |
| Tramadol 50 mg capsule | Capsule | Antipain | 48 | 0.91 | 43.68 |
| TTC eye ointment | Tube | Antibiotic | 4 | — | — |
| TTC HCl cream | Tube | Antibiotic | 1 | — | — |
| Zinc sulphate 20 mg tablet | Tablet | Nutritional supp. | 20 | Free | — |
| Total | 836 | 826.7ETB |
4. Discussion
The prevalence of unused medicines in the current study was found to be lower than that in a similar study conducted in Nigeria, in which 105 (80.8%) households had 635 medicines at their homes, 65.8% of which were unused medicines (3.2 unused medicines per household) [24]. This could be attributed to differences in access to pharmacies in the two study areas as well as differences in self-medication practices in Nigeria and Ethiopia, in which evidence showed that there is a higher self-medication practice in Nigeria as compared to Ethiopia [36, 37]. The fact that in Ethiopia public health facilities are the main sources of medicines (71%) can also indicate the probability of low self-medication practice, as medications to be dispensed on public health facilities are mainly prescription only medications [33].
In the current study, anti-infective and antipain medicines were the most common unused medicines in the community. Similar findings were reported from a study in Cairo, Egypt, in which antibiotics were the most common medicines returned unused, 20.15%, followed by medicines for gastrointestinal problems, 16.27% [7]. The greater abundance of antibiotics reflects the potential for the generation of this waste at households, the problem of lack of treatment adherence, the problem of antibiotic resistance, and the risk of self-medication and associated problems [38].
The most commonly reported reasons for the presence of unused medicines were forgetfulness, 33.7%, followed by fast symptom improvement, 28.8%. Similar findings with varying frequencies were found in studies conducted in Egypt and University of Gondar Specialized Teaching Hospital, Ethiopia [3, 7]. In the current study, the number of reasons for the presence of unused medicines reported by the participants was higher than the number of households that had unused medicines. This was due to the fact that a single household sometimes had more than one type of unused medicines at home and perhaps sometimes had the same medicine but purchased at different times, and the reasons for the nonutilization of those medicines were also sometimes different.
In the current study, people who pay for medicines out of pocket by themselves were found 2.6 times more likely to have unused medicines compared to those for whom health insurance has covered their medical expenses. This could be attributed to the fact that people who pay for medicines immediately out of pocket could tend to save their medicines so as to avoid further expenses for them as compared to those who utilized health insurance services as they may not realize/pay attention to the money they pay/save in the insurance services as it is gradual and not much at once.
People who did not have enough knowledge about medicines (those who think medicines once purchased can be used forever) were also found 4.8 times more likely to have unused medicines. This could be a factor as those people will tend to save those medicines for future consumption.
Similarly, people who did not have enough awareness about medicines they took were found to be 3 times more likely to discontinue their medicines and thus have unused medicines compared with those who had good awareness. This could be due to poor counseling services by health professionals/pharmacists during dispensing the medicines or due to some other reasons such as lack of awareness of the person who took the medicines.
Flushing of medicines down the toilet was the most common disposal method for unused medicines, 58.8%, followed by throwing them in the trash, 16.4%. Similar disposal practices were reported by studies conducted in Nigeria and Ghana [23, 24]. In another study conducted in Ghana, the study participants reported throwing unused medicines in a wastage bin (29%), burying them in the ground (38%), and flushing them down the toilet or sink (4%) as the most common disposal methods for unused medicines, whereas 21% of them reported sharing of those medicines with their families and relatives [39]. Although flushing down a sink/toilet and throwing into the trash were convenient ways for removing medicines from households given the absence of disposal instructions on the prescription drug labeling and medicine take-back programs in the country, these methods pose a significant environmental concern [10, 40].
4.1. Limitation of the Study
The cost of medicines was calculated only for solid dosage forms and parenteral medicines, due to the difficulty in determining the amount remaining for liquid preparations, and thus may not accurately indicate the actual cost of unused medicines. In addition, the cost was also calculated using the unit price of the medicines at the time of the study, and thus depending on when the medicines were purchased there may be a fluctuation in the unit price of the medicines due to the difference between the current price and that at the time of purchase.
5. Conclusion
Unused medicines were present in the community. Strategies aimed at educating the public regarding the general properties of medicines are needed, and guidelines on the safe disposal of unused medicines and an organized method of collection in the community need to be introduced. Drug take-back programs aimed at collecting and safely disposing of unused medicines in the community are also required. One option for this could be disposing of unused medicines from households together with the disposal program in the health facilities. In Ethiopia, disposal of unused and expired pharmaceuticals is conducted by a team of experts from the regulatory body (Ethiopian Food and Drug Administration (EFDA)), pharmacists, laboratorists, security officers (police), and other relevant stakeholders in a common disposal area using the disposal guideline provided by EFDA (formerly FMHACA (Food, Medicine, and Healthcare Administration and Control Authority of Ethiopia)) [41]. This could be achieved by placing drug collection sites at various areas in the community and educating the public to put unused medicines on the nearby collection site, with a disposal team conducting the collection, segregation, and steps related to disposal.
One other option for the collection of those unused medicines could be achieved by utilization of private firms involved in collection and disposal of other household wastes. In many areas of the country including the current study area, there are many privately organized firms (entrepreneurs) conducting such activities as a formal work for living. One barrier to this could be the knowledge gap and cautions to be taken on handling of drugs, as many of them may not have health-related background. However, this could be overcome by providing all the necessary training for handling of medicines upon collection and all the necessary cautions to be taken and/or by putting and managing them in a system. All of this needs regular financing, and the government together with donor agencies and pharmaceutical companies in the country's market could be a good source.
Acknowledgments
The authors would like to acknowledge University of Gondar and Jimma University for their support and for facilitating the study.
Data Availability
The datasets generated and/or analyzed during the current study are not available in public due to the requirement of confidentiality, upon which the study was approved by the Institutional Review Board and consent was secured from the study participants, but are available from the corresponding author on reasonable request.
Ethical Approval
This study was approved by the Institutional Review Board (IRB) of Jimma University with an approval number of IHR-PGD/201/2018.
Consent
Written informed consent from the participants was obtained before conducting this study. Participants' information gained was kept confidential.
Conflicts of Interest
The authors declare that they have no conflicts of interest.
Authors' Contributions
Dawit Kumilachew carried out the statistical analysis and interpretation of the results, participated in the sequence alignment, and drafted the manuscript. Fitsum Sebsibe participated in the interpretation and revision of the work. Awol Jemal participated in the design of the study and performed the revision. All authors read and approved the final manuscript.
Supplementary Materials
Part I: sociodemographic data. Part II: medicine management related data. Part III: visual inspection of unused medicines.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Part I: sociodemographic data. Part II: medicine management related data. Part III: visual inspection of unused medicines.
Data Availability Statement
The datasets generated and/or analyzed during the current study are not available in public due to the requirement of confidentiality, upon which the study was approved by the Institutional Review Board and consent was secured from the study participants, but are available from the corresponding author on reasonable request.