Abstract
Self-medication is very common especially in developing countries and is documented to be associated with many health risks including antibiotic resistance. This study investigated the prevalence, determinants and knowledge of self-medication among residents of Siha District in Tanzania. A cross-sectional study was conducted among 300 residents in a rural District of Kilimanjaro region, North-eastern Tanzania from 1st to 28th April 2017. A semi-structured questionnaire was used to collect information regarding drugs used, knowledge, history and reasons for antibiotic self-medication. Log—binomial regression analysis was done using STATA 13 to examine factors associated with self-medication. A slightly majority of the respondents (58%) admitted to self-medication. Antibiotics most commonly utilized were amoxycillin (43%) and an antiprotozoal drug metronidazole (10%). The most common symptoms that led to self-medication were cough (51.17%), headache/ fever/ malaria (25.57%) and diarrhoea (21.59%). The most common reasons for self-medication were emergency illness (24.00%), health facility charges (20.33%), proximity of pharmacy to home (17.00%) and no reason (16.66%). Almost all reported that self-medication is not better than seeking medical consultation, 98% can result into harmful effects and 96% can result to drug resistance. The level of self-medication in this study is comparable with findings from other studies in developing countries. Pharmacies were commonly used as the first point of medical care. There is therefore a need for educative antibiotic legislative intervention to mitigate the adverse effects of antibiotic self-medication in Siha district in Tanzania.
Introduction
Self-medication is defined as the use of drugs to treat self-diagnosed disorders or symptoms or the intermittent or continued use of drugs for chronic or recurrent disease or symptoms without a prescription or guidance from a physician[1]. Antibiotic self-medication causes excessive antibiotic exposure to humans[2,3] and is one of the documented factors responsible for development of the currently rapidly rising public health crisis, the resistance to antibiotics[2,4–10]. A clear relationship exists between microbial resistance and amount of antibiotic use[2]. Other causes of antibiotic resistance are antibiotic overuse[4][11–15], clinicians’ over-prescription[1,16,17], a strong belief by the public in antibiotics such as hoarding and non–prescription purchase[18] and veterinary antibiotic use for prophylaxis and growth promotion[19]. Other human malpractices that have contributed to the emergence and spread of antibiotic resistance include inappropriate antibiotic use, inadequate dosing and incomplete doses[20].
Among the measures taken by a person who feels unwell in a typical developing country is the use of traditional medication alongside modern medicine[21]. The latter involves buying medicines from a pharmacy as the first point of care without necessarily seeking medical consultation[18]. Medicines can be accessed often without a prescription both in developed world[22] and in developing countries[18]. The majority of patients resort to self medication[23,24], a breeding ground for antimicrobial resistance (AMR).
The adverse effects of self-medication include incorrect self-diagnosis, delays in seeking medical advice when needed, infrequent but severe adverse reactions, dangerous drug interactions, incorrect manner of administration, incorrect dosage, incorrect choice of therapy, masking of a severe disease and a risk of dependence and abuse[25]. Many of the mentioned self-medication risks lead to AMR. This study is justified due to the fact that only a small number of studies have been done in the North Eastern zone of Tanzania on antibiotic self-medication and that self-medication and non-doctor prescription with antibiotics is associated with development of antibiotic resistance, cross-resistance, and treatment failure.
This study was therefore designed to determine the prevalence and predictors of self-medication with antibiotics in North-eastern Tanzania and propose appropriate interventions in mitigating the globally rising crisis of antibiotic resistance.
Materials and methods
Study design, site and population
This was a community based cross sectional study which was conducted in SanyaJuu ward, Siha district in Kilimanjaro region, North-eastern Tanzania with a population of 116,313[26]. Siha is one of the seven administrative districts of Kilimanjaro Region with mostly a rural mixed small business and peasant inhabitants. It covers approximately 1158 square kilometers (447 square miles) and administratively divided into 12 wards. It is bordered to the west by Arusha region and to the east by Rombo and Hai districts. The western part of Mount Kilimanjaro is located within the district boundaries. The distribution of health facilities is such that there is a district hospital, five health centres and thirteen dispensaries, minimally equipped as in many rural areas in a developing country. Pharmacies and drug outlets are evenly spread throughout the district.
Sample size and data collection
On the basis of the prevalence of self-medication of 71.5% in Ilala district, Dar es Salaam, Tanzania[27] and a relative precision of 5% at 95% confidence interval the minimum sample size was estimated to be 313 using the Kish Lisle et al (1965)[28] formula to determine the sample size for cross—sectional studies: n = Z2P (1-P)/d2.
Out of seven districts of Kilimanjaro region Siha district was randomly selected. Sanya Juu ward was randomly selected. Systematic sampling was used to select households in all villages of Sanya Juu ward. Head of the household was selected to participate in the study or, in his absence, any adult member above 18 years present was selected. In the presence of more than one adult, always the oldest was chosen as the respondent. Individuals not willing to participate were excluded. A total of 300 respondents were interviewed. Data were collected using a semi-structured questionnaire developed by a research team.
Validity of the questionnaire
The validity and reliability of the questionnaire were determined by using computer software IBM SPSS Version 20. To maximize its validity, the questionnaire was pre-tested on relevant respondents before data collection. Ten community members were selected. These respondents were excluded during data collection for this study. In addition two experts in the field of survey design approved the quality of the questionnaire. After the pre-test, adjustments in phrasing were made.
Data collection
The principal investigator together with two trained research assistants administered the questionnaire from 1st to 28th April 2017. The questionnaire captured socio–demographics, self–medication practices with antibiotics and other associated conditions like sources of drugs used, reasons for antibiotic self- medication and type of antibiotics employed for self medication.
Data management and analysis
Data were entered into an excel spreadsheet and STATA version 13 (StataCorp, College Station, TX, USA) was used for statistical analyses. Data were visually examined for distribution, missing values and outliers using univariable analysis. We described baseline characteristics of the study population by using descriptive statistics. Median (inter-quartile range) was used to summarize continuous variables and frequencies and proportions for categorical variables. Log-binomial regression was performed to determine the association between socio-demographic characteristics and self-medication. Crude and adjusted Odds Ratio (ORs) or prevalence ratios together with their 95% confidence intervals were estimated as measures of association. We added all variables from the bivariate log-binomial regression into a multivariate log-binomial regression model regardless of their significance. In the final model, the p-value of <0.05 was considered to be significant.
Ethical considerations
Ethical approval to conduct this study was obtained from Kilimanjaro Christian Medical University College Ethics Committee Certificate number 892. Permission to conduct the study was obtained from the District Executive Director of Siha District and Sanya Juu Ward Executive Officer (WEO). Written informed consent to participate was obtained from all individuals who agreed to participate in the study prior to participation. All measures to protect the privacy and confidentiality were considered in that neither names nor house registration numbers were mentioned and recorded during data collection.
Results
Characteristics of the study participants
A total of 300 individuals participated in this study. The median (IQR) age of participants was 23 (20.5–36.5) years. The majority of the participants, 222 (74.00%) were youth and the proportion of males and females was almost similar among the study participants and comparable to the study population. More than half of the participants had attained primary education or higher and a higher proportion (94.67%) were unemployed. The prevalence of antibiotic self-medication was 58% (Table 1).
Table 1. Prevalence of self-medication and characteristics of study participants (N = 300).
Variable | Self–medication n (%) | |||
---|---|---|---|---|
Overall (N = 300) |
Yes (n = 174) |
No (n = 126) |
χ2 p-value |
|
Median age years (IQR)* | 23(20.5–36.5) | |||
Age groups | ||||
18–35 | 222 | 124 (55.9) | 98 (44.1) | 0.114 |
36–60 | 68 | 46 (67.60) | 22 (32.4) | |
61–78 | 10 | 04 (40.0) | 06 (60.0) | |
Sex | ||||
Male | 160 | 91 (56.9) | 69 (43.1) | 0.673 |
Female | 140 | 83 (59.3) | 57(40.7) | |
Marital status | ||||
Married | 139 | 80 (57.6) | 59 (42.4) | 0.884 |
Unmarried | 161 | 94 (58.4) | 67 (41.6) | |
Educational level | ||||
No formal education | 17 | 09 (52.9) | 08 (47.1) | 0.389 |
Primary | 111 | 70 (63.1) | 41 (36.9) | |
Above primary | 172 | 95 (55.2) | 77 (44.8) | |
Occupation | ||||
Employed | 16 | 13 (81.2) | 03 (18.8) | 0.053 |
Unemployed | 284 | 161(56.7) | 123 (43.3) | |
Income (TZs) | ||||
<180,000 | 287 | 166 (57.8) | 121 (42.2) | 0.792 |
>180,000 | 13 | 08 (61.5) | 05 (38.5) |
*IQR = Interquartile range.
Symptoms, antibiotics and reasons for self-medication
Above ninety percent of the participants reported to go to the pharmacy for care when they fall sick. The most common symptoms reported by self-medicating participants were cough (51%), fever (23%) and diarrhoea (22%). The most common self- medicating antibiotics employed were amoxicillin (43%) and an antiprotozoal drug metronidazole (10%). The most commonly reported reasons for self-medication were emergency illness (24.0%), health facility charges (20.33%), proximity of pharmacy to home place (17.00%) and no reported reason (16.66%) (Table 2).
Table 2. Symptoms, antibiotics and reasons for self-medication (N = 300).
Variable | n(%) |
---|---|
Action on falling sick | |
Go to hospital | 20 (6.67) |
Go to pharmacy | 276(92.00) |
Treating myself at home | 03 (1.00) |
Others | 01 (0.33) |
Symptoms | |
Headache/ Fever/ Malaria | 45 (25.57) |
Diarrhoea | 38 (21.59) |
Cough | 90 (51.14) |
Injury | 3 (1.70) |
Antibiotics | |
Amoxicillin | 130 (43.33) |
Tetracycline | 5 (1.67) |
Chloramphenicol | 3 (1.00) |
Ciprofloxacin | 1 (0.33) |
Ampiclox | 3 (1.00) |
Others Antiprotozoa |
1 (0.33) |
Metronidazole | 31 (10.33) |
Reasons | |
Emergency illness | 72 (24.00) |
Long distance from the health facility | 38 (12.67) |
Proximity of pharmacy to home place | 51 (17.00) |
Health facility charges | 61 (20.33) |
No medicine in the health facility | 3 (1.00) |
Delaying of hospital services | 25 (8.33) |
No reason given | 50 (16.66) |
Factors associated with self-medication
On a bivariate log-binomial regression, being an adult (OR: 1.65; 95% CI (0.93–2.93), female (OR: 1.10; 95% CI (0.69–1.75), unmarried (OR: 1.03; 95% CI (0.65–1.63), having a primary education (OR: 1.51; 95% CI (0.54–4.23) and having an income of more than TShs180,000 (OR: 1.16; 95% CI (0.37–3.65), were associated with the increased risk of self-medication. Other factors were not statistically significant (Wald test p value > 0.05). On a multivariate log-binomial regression after adjusting for variables (age, sex, education, marital status), being an adult (OR: 1.73; 95% CI (0.86–3.50), female (OR: 1.09; 95% CI (0.80–1.79), unmarried (OR: 1.14; 95% CI (0.80–2.75), and having a primary education (OR: 1.45; 95% CI (0.46–4.51), remained to be associated with the increased risk of self—medication although the association was not statistically significant (Wald test p-value >0.05) (Table 3).
Table 3. Bivariate and multivariate logistic regression of factors associated with self-medication.
Variable | Total | Self-medication | CRUDE | ADJUSTED | ||
---|---|---|---|---|---|---|
n | Yes (n (%)) |
OR (95% CI) | p- value |
OR (95% CI) | p- value |
|
Age group | ||||||
18–35 | 222 | 124 (55.9) | 1(baseline) | 1 (baseline) | ||
36–60 | 68 | 46 (67.6) | 1.65(0.93–2.93) | 0.086 | 1.73(0.86–3.50) | 0.126 |
61–78 | 10 | 04 (40.0) | 0.52(0.14–1.91) | 0.331 | 0.64(0.32–1.67) | 0.554 |
Sex | ||||||
Male | 160 | 91 (56.9) | 1(baseline) | 1 (baseline) | ||
Female | 140 | 83 (59.3) | 1.10(0.69–1.75) | 0.673 | 1.09(0.68–1.78) | 0.705 |
Marital status | ||||||
Married | 139 | 80 (57.6) | 1(baseline) | 1 (baseline) | ||
Unmarried | 161 | 94 (58.4) | 1.03(0.65–1.63) | 0.884 | 1.49(0.80–2.75) | 0.206 |
Educational level | ||||||
No formal education | 17 | 09 (52.9) | 1(baseline) | 1 (baseline) | ||
Primary | 111 | 70 (63.1) | 1.51(0.54–4.23) | 0.426 | 1.45(0.46–4.51) | 0.522 |
Above primary | 172 | 95 (55.2) | 1.09 (0.40–2.97) | 0.856 | 1.02(0.32–3.25) | 0.978 |
Occupation | ||||||
Employed | 16 | 13 (81.2) | 1(baseline) | a | a | |
Unemployed | 284 | 161 (56.7) | 0.30 (0.08–1.08) | 0.066 | ||
Income (TZS†) | ||||||
<180,000 | 287 | 166 (57.8) | 1(baseline) | |||
>180,000 | 13 | 08 (61.5) | 1.16(0.37–3.65) | 0.792 | a | a |
†TZS = Tanzanian shillings (1 United States Dollar = 2, 230 TZS).
a Multivariate estimates were too small to be interpreted and therefore omitted.
Knowledge on self-medication
All study participants had heard about antibiotic self-medication and 98% said self-medication couldn’t be practiced with all drugs. When sick, 92% went to pharmacy for care. 98% responded that self-medication could result to harmful effects. Ninety nine percent knew that self—medication was not better than medical consultation and above 95% of the participants reported to know that self-medication could result to delays for one to seek medical care as well as development of drug resistance (Table 4).
Table 4. Knowledge on self–medication.
Variable | Yes | No | Don't know |
---|---|---|---|
n (%) | n (%) | n (%) | |
Ever heard about self-medication | 300(100.00) | 0(0) | 0(0) |
Self-medication can be practiced with all drugs | 06(02.00) | 294(98) | 0(0) |
Self-medication is better than seeking med consultation | 0 (0.00) | 299(99.67) | 1(0.33) |
Same medicine can be shared between two people with different ailment | 09 (03.00) | 265(88.33) | 26(08.66) |
Self-medication practices result into harmful effects | 294(98.00) | 04(01.33) | 02(0.67) |
Self-medication causes addiction | 298(99.33) | 00(0.00) | 02(0.67) |
Self-medication delays one to seek medical care | 289(96.33) | 02(0.67) | 09(03.00) |
Self-medication results to drug resistance | 289(96.33) | 02(0.67) | 09(03.00) |
Self-medication results int complications | 269(89.67) | 04(01.33) | 27(09.00) |
Discussion
The study aimed at determining the prevalence and factors for antibiotic self-medication in a rural area of Kilimanjaro Region. It is important to establish and quantify existence of antibiotic self-medication and associated factors due to its consequent antimicrobial resistance for control and mitigation of the vice. The prevalence of antibiotic self–medication in this population was 58%.
Our data indicate that more than half of the study population self-medicated with antibiotics. This may be due to lack of health care facilities that adequately cater for the health care needs of the community. One may resort to self-medication in a rural developing country due to non-sustainable medicine supply in health facilities, difficulties in seeing a clinician due to congestion, lack of money to pay for health services, long distance to the health facility, delaying of hospital services, ignorance of the consequences and lack of antibiotic regulatory control[29–32]. Dissatisfaction with medical care has also been documented[29,33]. Among other effects, antibiotic self–medication has been associated with development of antibiotic resistance[3,34–37].
The data show that more than nine out of ten individuals went to pharmacy for care when they fall sick. It is a common practice in developing countries to directly resort to pharmacy visits instead of medical consultation for care[38]. One of the factors identified from the data was health facility charges. High health care costs causes people avoid attending clinics thus self-medicate. This practice has deleterious effects on fostering development of antibiotic resistance. An attempt to avail health care plans, as health insurance, coupled with control of access to antibiotics and enforcement of the laws and regulations on antibiotic dispensing would mitigate this problem.
Diarrhoea was the second common symptom for self-medication. Most of the management of diarrhoea is supportive by oral rehydration and intravenous infusions[39]. Antibiotic self-medication with diarrhoea is largely inappropriate. An antibiotic is only indicated for a laboratory confirmed infective diarrhoea[39]. In Tanzania there is a habit of taking metronidazole for self-treatment of diarrhoea[23]. The 22 percent diarrhoea patients that self–medicated with antibiotics are an indication of the extent of inappropriate antibiotic use–a practice that eventually leads to development of antibiotic resistance. Mass education should be routinely implemented to raise awareness of people to employ fluid replacement as the first line of action when one contracts diarrhoea. One study showed that most diarrhoea to be of viral origin than bacterial hence in most cases antibiotics are not warranted as part of management[40].
The antibiotics mostly used for self-medication were penicillins (43%). We observe that penicillins are the most commonly known of many antibiotics and freely available, hence potential for self-medication in many countries since they are believed to treat many ailments[41–43]. It is thus not surprising that bacterial resistance against this class of antibiotics is on the rise[44,45]. More evidence of isolates of Escherichia coli resistant against penicillins has been published to be between 30%-81.6%[46–49]. Amoxicillin has been found in other studies to be the most self-medicated antibiotic in Kenya (36%)[42], Ghana (23.9%)[50], United Arab Emirates (46.3%)[51], Iran (40.5%)[52] and in Karachi, Pakistan (41.4%)[31,53].
The second most common drug used for self-medicated was antiprotozoal medicine metronidazole (10%). An observation on the most frequent self-medication with metronidazole occurs in treatment of diarrhoea[23]. Since diarrhoea is very common and the standard treatment is mostly supportive, this antiprotozoal drug is inappropriately consumed. Metronidazole was concomitantly the second most self-medicated antiprotozoa in another study in India[54]. However most studies have not reported a high bacterial resistance against metronidazole especially in developing countries[25,55]. The risk is therefore high for development of drug resistance against amoxycillin and metronidazole due to their excessive and inappropriate use.
In Tanzania antibiotics can be available and accessed in rural and peri-urban areas through Accredited Drug Dispensing Outlets (ADDO) Programme[56–58]. Dispensing antibiotics even through ADDO requires a prescription. The antibiotic access policy in Tanzania requires that antibiotics are strictly prescription only medicines. In order to increase access to antibiotics to the needy so that minor infections may be controlled countrywide, considering the lack of enough trained pharmacy personnel the government of Tanzania introduced a programme called Accredited Drug Dispensing Outlets (ADDO). This entails a short course training on dispensing knowledge and skills with certification after which the graduate gets employed in a drug shop where majority of such drug outlets are in rural Tanzania [56,57]. In this course, it is well emphasized that antibiotics are prescription only drugs.
The accessibility of antibiotics through ADDO initiative has occasionally negatively resulted to abuse with evidence of non-prescription purchase of antibiotics[59–61]. A more serious supportive supervision, enforcement of dispensing regulations and massive dispenser and consumer education need to be instituted by TFDA.
We found a high level of awareness of the negative consequences of antibiotic self-medication despite a reported high practice of the same. All the study population were aware of harmful effects of antibiotic self-medication including antibiotic resistance. They also reported to have heard of self-medication, but, surprisingly 98% had practiced self-medication. This is cognitive dissonance theory at work. Sixteen percent of the self-medicating respondents had no reason why they practiced it. Clearly, a deliberate and a serious government initiative to enforce the restriction of availability and inappropriate accessibility to antibiotics may not be over emphasized.
The most important reasons for antibiotic self–medication given by participants were emergency illness (24%) and health facility charges (20%). Emergency illness are taken care of at home instead of health care facility thereby encouraging self-medication mostly from “left over” antibiotics[43]. Health facility charges contribute greatly to self-medication as people try “cutting medical costs” in avoiding high cost of doctor consultation, and other economic factors like logistics to reach the health facility[41,62–64]. Relative to purchasing power of the rural mass in Tanzania majority cannot afford even the supposedly free healthcare in public health facilities. Despite subsidies effected by the government in health care provision, there are still mandatory costs that must be paid by patients seeking medical care, including transport costs, card opening, laboratory and medicine costs.
This study commands strength by involving the general population, which is an attempt to describe in practical terms a reality on the ground in self-medication practice, unlike other studies that involved institutionalized populations like university students, health-care workers or outpatients in a hospital [31,33,64–69]. The inherent limitation in this study was recall bias. Some of the participants had difficulties in remembering antibiotic names and whether or not they had self-medicated in the previous six months thus impacting on the prevalence of self-medication. However, in the current study six months recall bias was minimized by encouraging the respondents to relate important life events such as birthdays, planting season and religious festivals to illness so that a self medication event could easily be recalled. Secondly, our calculated sample size was 313 but we managed to interview 300 respondents. 13 could not be reached despite our two consecutive attempts to visit them at home. However, we believe the results of this study are important as baseline information to health care managers and policy makers to plan intervention programs related to antibiotic self-medication.
Conclusions
Self-medication with antibiotics is practiced by more than a half of Siha district residents predominantly by adults than youth and elderly. Majority (92%) of respondents go to pharmacy for care on falling sick. Antibiotic self-medication is mostly due to cough, fever and diarrhoea. Factors associated with increased risk of antibiotic self-medication are being an unmarried adult female with a primary school education. Despite a high awareness of the negative effects of self-medication, self-medication practice remains high in Siha district. The findings of this study warrant government intervention through TFDA by mass education, dispensers’ education and lawfully enforcing restriction on access to antibiotics on prescription only policy. An avenue for further study should envisage identifying, through a qualitative methodology, whether the same respondents in this study understand the consequences of antibiotic resistance caused by antibiotic self-medication.
Supporting information
Acknowledgments
The authors would like to sincerely thank the Administration of Kilimanjaro Christian Medical University College (KCMUCo) and Kilimanjaro Clinical Research Institute (KCRI) for being supportive of the study ethically and academically and The Siha District residents who volunteered to provide the information on antibiotic self medication.
Data Availability
All data for this research are included in the manuscript.
Funding Statement
The author(s) received no specific funding for this work.
References
- 1.Kuehn BM. Excessive Antibiotic Prescribing for Sore Throat and Acute Bronchitis Remains Common. JAMA. 2013;310: 2135 10.1001/jama.2013.281452 [DOI] [PubMed] [Google Scholar]
- 2.Spellberg B, Gilbert DN. The future of antibiotics and resistance: a tribute to a career of leadership by John Bartlett. Clin Infect Dis. Oxford University Press; 2014;59 Suppl 2: S71–5. 10.1093/cid/ciu392 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Llor C, Bjerrum L. Antimicrobial resistance: risk associated with antibiotic overuse and initiatives to reduce the problem. Ther Adv drug Saf. SAGE Publications; 2014;5: 229–41. 10.1177/2042098614554919 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Bell BG, Schellevis F, Stobberingh E, Goossens H, Pringle M. A systematic review and meta-analysis of the effects of antibiotic consumption on antibiotic resistance. BMC Infect Dis. 2014;14: 13 10.1186/1471-2334-14-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Michael CA, Dominey-Howes D, Labbate M. The antimicrobial resistance crisis: causes, consequences, and management. Front public Heal. Frontiers Media SA; 2014;2: 145 10.3389/fpubh.2014.00145 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Donnan PT, Wei L, Steinke DT, Phillips G, Clarke R, Noone A, et al. Presence of bacteriuria caused by trimethoprim resistant bacteria in patients prescribed antibiotics: multilevel model with practice and individual patient data. BMJ. BMJ Publishing Group; 2004;328: 1297 10.1136/bmj.328.7451.1297 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Chung A, Perera R, Brueggemann AB, Elamin AE, Harnden A, Mayon-White R, et al. Effect of antibiotic prescribing on antibiotic resistance in individual children in primary care: prospective cohort study. BMJ. 2007;335: 429–429. 10.1136/bmj.39274.647465.BE [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.London N, Nijsten R, Mertens P, v d Bogaard A, Stobberingh E. Effect of antibiotic therapy on the antibiotic resistance of faecal Escherichia coli in patients attending general practitioners. J Antimicrob Chemother. 1994;34: 239–46. [DOI] [PubMed] [Google Scholar]
- 9.Del Mar C. Prescribing antibiotics in primary care. BMJ. BMJ Publishing Group; 2007;335: 407–8. 10.1136/bmj.39307.642963.80 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Coles CL, Mabula K, Seidman JC, Levens J, Mkocha H, Munoz B, et al. Mass distribution of azithromycin for trachoma control is associated with increased risk of azithromycin-resistant streptococcus pneumoniae carriage in young children 6 months after treatment. Clin Infect Dis. 2013;56: 1519–1526. 10.1093/cid/cit137 [DOI] [PubMed] [Google Scholar]
- 11.Lipsitch M, Samore MH. Antimicrobial use and antimicrobial resistance: a population perspective. Emerg Infect Dis. Centers for Disease Control and Prevention; 2002;8: 347–354. 10.3201/eid0804.010312 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Wright GD. Antibiotic resistance in the environment: a link to the clinic? Curr Opin Microbiol. 2010;13: 589–594. 10.1016/j.mib.2010.08.005 [DOI] [PubMed] [Google Scholar]
- 13.Baquero F, Martínez J-L, Cantón R. Antibiotics and antibiotic resistance in water environments. Curr Opin Biotechnol. 2008;19: 260–265. 10.1016/j.copbio.2008.05.006 [DOI] [PubMed] [Google Scholar]
- 14.Nesme J, Cécillon S, Delmont TO, Monier J-M, Vogel TM, Simonet P. Large-Scale Metagenomic-Based Study of Antibiotic Resistance in the Environment. Curr Biol. 2014;24: 1096–1100. 10.1016/j.cub.2014.03.036 [DOI] [PubMed] [Google Scholar]
- 15.Zhu Y-G, Johnson TA, Su J-Q, Qiao M, Guo G-X, Stedtfeld RD, et al. Diverse and abundant antibiotic resistance genes in Chinese swine farms. Proc Natl Acad Sci U S A. National Academy of Sciences; 2013;110: 3435–40. 10.1073/pnas.1222743110 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Kuehn BM. IDSA: Better, Faster Diagnostics for Infectious Diseases Needed to Curb Overtreatment, Antibiotic Resistance. JAMA. American Medical Association; 2013;310: 2385 10.1001/jama.2013.283828 [DOI] [PubMed] [Google Scholar]
- 17.McNulty CAM, Boyle P, Nichols T, Clappison P, Davey P. The public’s attitudes to and compliance with antibiotics. J Antimicrob Chemother. Royal College of General Practitioners, London; 2007;60: i63–i68. 10.1093/jac/dkm161 [DOI] [PubMed] [Google Scholar]
- 18.Van Duong D, Binns CW, Van Le T. Availability of antibiotics as over-the-counter drugs in pharmacies: a threat to public health in Vietnam. Trop Med Int Heal. Blackwell Publishing Ltd; 1997;2: 1133–1139. 10.1046/j.1365-3156.1997.d01-213.x [DOI] [PubMed] [Google Scholar]
- 19.Van Boeckel TP, Brower C, Gilbert M, Grenfell BT, Levin SA, Robinson TP, et al. Global trends in antimicrobial use in food animals. Proc Natl Acad Sci U S A. National Academy of Sciences; 2015;112: 5649–54. 10.1073/pnas.1503141112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Omolase CO, Adeleke OE, Afolabi AO, Afolabi OT. Self medication amongst general outpatients in a nigerian community hospital. Ann Ibadan Postgrad Med. Association of Resident Doctors, University College Hospital, Ibadan; 2007;5: 64–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Vandebroek I, Calewaert J-B, De jonckheere S, Sanca S, Semo L, Van Damme P, et al. Use of medicinal plants and pharmaceuticals by indigenous communities in the Bolivian Andes and Amazon. Bull World Health Organ. 2004;82: 243–250. [PMC free article] [PubMed] [Google Scholar]
- 22.Mainous AG, Everett CJ, Post RE, Diaz VA, Hueston WJ, Hueston WJ. Availability of antibiotics for purchase without a prescription on the internet. Ann Fam Med. American Academy of Family Physicians; 2009;7: 431–435. 10.1370/afm.999 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Chipwaza B, Mugasa JP, Mayumana I, Amuri M, Makungu C, Gwakisa PS. Self-medication with anti-malarials is a common practice in rural communities of Kilosa district in Tanzania despite the reported decline of malaria. Malar J. BioMed Central; 2014;13: 252 10.1186/1475-2875-13-252 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Geissler PW, Nokes K, Prince RJ, Achieng’ Odhiambo R, Aagaard-Hansen J, Ouma JH. Children and medicines: self-treatment of common illnesses among Luo schoolchildren in western Kenya. Soc Sci Med. 2000;50: 1771–1783. 10.1016/S0277-9536(99)00428-1 [DOI] [PubMed] [Google Scholar]
- 25.Ventola CL. The antibiotic resistance crisis: part 1: causes and threats. P T. MediMedia, USA; 2015;40: 277–83. [PMC free article] [PubMed] [Google Scholar]
- 26.Ministry of Planning E and E. Tanzania Population and Housing Census. 2012.
- 27.Levson G, Monjeza U. PEOPLE’S KNOWLEDGE, ATTITUDE AND PRACTICES ABOUT SELF MEDICATION AND ITS IMPLICATIONS IN ILALA MUNICIPALITY, DAR ES SALAAM. 2013; [Google Scholar]
- 28.Singh AS, Masuku MB. SAMPLING TECHNIQUES & DETERMINATION OF SAMPLE SIZE IN APPLIED STATISTICS RESEARCH: AN OVERVIEW. Int J Econ Commer Manag United Kingdom. 2014;II. [Google Scholar]
- 29.Loyola Filho AI de, Uchoa E, Guerra HL, Firmo JOA, Lima-Costa MF. [Prevalence and factors associated with self-medication: the Bambuí health survey]. Rev Saude Publica. 2002;36: 55–62. [DOI] [PubMed] [Google Scholar]
- 30.Mukonzo JK, Namuwenge PM, Okure G, Mwesige B, Namusisi OK, Mukanga D. Over-the-counter suboptimal dispensing of antibiotics in Uganda. J Multidiscip Healthc. 2013; 10.2147/JMDH.S49075 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Shah SJ, Ahmad H, Rehan RB, Najeeb S, Mumtaz M, Jilani MH, et al. Self-medication with antibiotics among non-medical university students of Karachi: a cross-sectional study. BMC Pharmacol Toxicol. BioMed Central; 2014;15: 74 10.1186/2050-6511-15-74 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Rather IA, Kim B-C, Bajpai VK, Park Y-H. Self-medication and antibiotic resistance: Crisis, current challenges, and prevention. Saudi J Biol Sci. Elsevier; 2017;24: 808–812. 10.1016/j.sjbs.2017.01.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Corrêa da Silva MG, Soares MCF, Muccillo-Baisch AL. Self-medication in university students from the city of Rio Grande, Brazil. BMC Public Health. 2012;12: 339 10.1186/1471-2458-12-339 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Mainous AG, Everett CJ, Post RE, Diaz VA, Hueston WJ, Hueston WJ. Availability of antibiotics for purchase without a prescription on the internet. Ann Fam Med. American Academy of Family Physicians; 2009;7: 431–5. 10.1370/afm.999 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Sapkota AR, Coker ME, Rosenberg Goldstein RE, Atkinson NL, Sweet SJ, Sopeju PO, et al. Self-medication with antibiotics for the treatment of menstrual symptoms in southwest Nigeria: a cross-sectional study. BMC Public Health. 2010; 10.1186/1471-2458-10-610 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Raz R, Edelstein H, Grigoryan L, Haaijer-Ruskamp FM. Self-medication with antibiotics by a population in northern Israel. Isr Med Assoc J. 2005;7: 722–5. [PubMed] [Google Scholar]
- 37.Ogunfowokan AA, Babatunde OA, Goldstein RER, Atkinson NL, Sweet SJ, Sopeju PO, et al. Management of Primary Dysmenorrhea by School Adolescents in ILE-IFE, Nigeria. J Sch Nurs. BioMed Central; 2010;26: 131–136. 10.1177/1059840509349723 [DOI] [PubMed] [Google Scholar]
- 38.Goodman C, Kachur SP, Abdulla S, Bloland P, Mills A. Drug shop regulation and malaria treatment in Tanzania—why do shops break the rules, and does it matter? Health Policy Plan. Europe PMC Funders; 2007;22: 393–403. 10.1093/heapol/czm033 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Casburn-Jones AC, Farthing MJG. Management of infectious diarrhoea. Gut. BMJ Publishing Group; 2004;53: 296–305. 10.1136/gut.2003.022103 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Pawlowski SW, Warren CA, Guerrant R. Diagnosis and treatment of acute or persistent diarrhea. Gastroenterology. NIH Public Access; 2009;136: 1874–86. 10.1053/j.gastro.2009.02.072 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Al Rasheed A, Yagoub U, Alkhashan H, Abdelhay O, Alawwad A, Al Aboud A, et al. Prevalence and Predictors of Self-Medication with Antibiotics in Al Wazarat Health Center, Riyadh City, KSA. Biomed Res Int. Hindawi; 2016;88: 930–936. 10.1155/2016/3916874 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Kiragu Ngigi C, Mwagiru P, Wala J. Self-Medication with Antibiotics Prior To Seeking Treatment among Adult Patients Attending Outpatient Department at Gatundu Sub-County Hospital, Kiambu County, Kenya. Imp J Interdiscip Res. 2016;2: 2454–1362. [Google Scholar]
- 43.Ocan M, Bbosa GS, Waako P, Ogwal-Okeng J, Obua C. Factors predicting home storage of medicines in Northern Uganda. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Marwa KJ, Mushi MF, Konje E, Alele PE, Kidola J, Mirambo MM. Resistance to Cotrimoxazole and Other Antimicrobials among Isolates from HIV/AIDS and Non-HIV/AIDS Patients at Bugando Medical Centre, Mwanza, Tanzania. AIDS Res Treat. Hindawi; 2015;2015: 1–8. 10.1155/2015/103874 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Justin-Temu M, Mwambete DK, Nyaki D. Public knowledge, attitude and perception of over the counter medicines: case study in Dar es Salaam region, Tanzania. East Afr J Public Health. 2010;7: 282–285. [DOI] [PubMed] [Google Scholar]
- 46.Mshana SE, Matee M, Rweyemamu M. Antimicrobial resistance in human and animal pathogens in Zambia, Democratic Republic of Congo, Mozambique and Tanzania: an urgent need of a sustainable surveillance system. Ann Clin Microbiol Antimicrob. BioMed Central; 2013;12: 28 10.1186/1476-0711-12-28 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Colom K, Pérez J, Alonso R, Fernández-Aranguiz A, Lariño E, Cisterna R. Simple and reliable multiplex PCR assay for detection of blaTEM, blaSHVand blaOXA-1genes in Enterobacteriaceae. FEMS Microbiol Lett. BioMed Central; 2003;223: 147–151. 10.1016/S0378-1097(03)00306-9 [DOI] [PubMed] [Google Scholar]
- 48.Mwanyika GO, Subbiah M, Buza J, Rugumisa BT, Call DR. African Journal of Microbiology Research A systematic review of antibiotic-resistant Escherichia coli and Salmonella data obtained from Tanzanian healthcare settings (2004–2014). 2017;11: 45–54. 10.5897/AJMR2016.8282 [DOI] [Google Scholar]
- 49.Lyimo B, Buza J, Subbiah M, Smith W, Call DR. Comparison of antibiotic resistant Escherichia coli obtained from drinking water sources in northern Tanzania: a cross-sectional study. BMC Microbiol. 2016;16: 254 10.1186/s12866-016-0870-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Donkor ES, Tetteh-Quarcoo PB, Nartey P, Agyeman IO. Self-Medication Practices with Antibiotics among Tertiary Level Students in Accra, Ghana: A Cross- Sectional Study. Int J Environ Res Public Heal Int J Environ Res Public Heal Int J Environ Res Public Heal. 2012;9: 3519–3529. 10.3390/ijerph9103519 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Abasaeed A, Vlcek J, Abuelkhair M, Kubena A, Kubena A. Self-medication with antibiotics by the community of Abu Dhabi Emirate, United Arab Emirates. J Infect Dev Ctries. 2009;3: 491–497. 10.3855/jidc.466 [DOI] [PubMed] [Google Scholar]
- 52.Williams-Nguyen J, Sallach JB, Bartelt-Hunt S, Boxall AB, Durso LM, McLain JE, et al. Antibiotics and Antibiotic Resistance in Agroecosystems: State of the Science. J Environ Qual. 2016; 10.2134/jeq2015.07.0336 [DOI] [PubMed] [Google Scholar]
- 53.Shah SJ, Ahmad H, Rehan RB, Najeeb S, Mumtaz M, Jilani MH, et al. Self-medication with antibiotics among non-medical university students of Karachi: a cross-sectional study. BMC Pharmacol Toxicol. 2014; 10.1186/2050-6511-15-74 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Bansal D, Mangla S, Undela K, Gudala K, D’Cruz S, Sachdev A, et al. Measurement of adult antimicrobial drug use in tertiary care hospital using defined daily dose and days of therapy. Indian J Pharm Sci. 2014;76: 211–7. [PMC free article] [PubMed] [Google Scholar]
- 55.Mukonzo JK, Namuwenge PM, Okure G, Mwesige B, Namusisi OK, Mukanga D. Over-the-counter suboptimal dispensing of antibiotics in Uganda. J Multidiscip Healthc. Dove Press; 2013;6: 303–10. 10.2147/JMDH.S49075 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Centre for Pharmaceutical Management. Accredited Drug Dispensing Outlets in Tanzania: Strategies for Enhancing Access to Medicines Program Management Sciences for Health; 2008. [Google Scholar]
- 57.Chalker JC, Vialle-Valentin C, Liana J, Mbwasi R, Semali IA, Kihiyo B, et al. What roles do accredited drug dispensing outlets in Tanzania play in facilitating access to antimicrobials? Results of a multi-method analysis. Antimicrob Resist Infect Control. 2015;4: 33 10.1186/s13756-015-0075-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Valimba R, Liana J, Joshi MP, Rutta E, Embrey M, Bundala M, et al. Engaging the private sector to improve antimicrobial use in the community: experience from accredited drug dispensing outlets in Tanzania. J Pharm Policy Pract. 2014;7: 11 10.1186/2052-3211-7-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Rutta E, Liana J, Embrey M, Johnson K, Kimatta S, Valimba R, et al. Accrediting retail drug shops to strengthen Tanzania’s public health system: an ADDO case study. J Pharm Policy Pract. 2015;8: 23 10.1186/s40545-015-0044-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Liana JH. The Accredited Drug Dispensing Outlet (ADDO) Model in Tanzania. 10.1186/s40545-015-0044-4 [DOI] [Google Scholar]
- 61.Accredited Drug Dispensing Outlets in Tanzania Strategies for Enhancing Access to Medicines Program Final Report Accredited Drug Dispensing Outlets in Tanzania: Strategies for Enhancing Access to Medicines Program Final Report About SEAM.
- 62.Saradamma RD, Higginbotham N, Nichter M. Social factors influencing the acquisition of antibiotics without prescription in Kerala State, south India. Soc Sci Med. Elsevier Limited; 2000;50: 891–903. 10.1016/S0277-9536(99)00380-9 [DOI] [PubMed] [Google Scholar]
- 63.Esimone CO, Nworu CS, Udeogaranya OP. Utilization of antimicrobial agents with and without prescription by out-patients in selected pharmacies in South-eastern Nigeria. Pharm World Sci. 2007;29: 655–660. 10.1007/s11096-007-9124-0 [DOI] [PubMed] [Google Scholar]
- 64.Zafar SN, Syed R, Waqar S, Zubairi AJ, Vaqar T, Shaikh M, et al. Self-medication amongst university students of Karachi: prevalence, knowledge and attitudes. J Pak Med Assoc. 2008;58: 214–7. [PubMed] [Google Scholar]
- 65.Osemene KP, Lamikanra A. A study of the prevalence of self-medication practice among university students in southwestern Nigeria. Trop J Pharm Res. 2012; 10.4314/tjpr.v11i4.21 [DOI] [Google Scholar]
- 66.Núñez M, Tresierra-Ayala M, Gil-Olivares F. Antibiotic self-medication in university students from Trujillo, Peru. Med Univ. 2016;18: 205–209. 10.1016/j.rmu.2016.10.003 [DOI] [Google Scholar]
- 67.Lucet J-C, Nicolas-Chanoine M-H, Roy C, Riveros-Palacios O, Diamantis S, Le Grand J, et al. Antibiotic use: knowledge and perceptions in two university hospitals. J Antimicrob Chemother. 2011;66: 936–40. 10.1093/jac/dkq541 [DOI] [PubMed] [Google Scholar]
- 68.Pan H, Cui B, Zhang D, Farrar J, Law F, Ba-Thein W. Prior knowledge, older age, and higher allowance are risk factors for self-medication with antibiotics among University students in Southern China. PLoS One. 2012; 10.1371/journal.pone.0041314 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Sarahroodi S, Arzi A, Sawalha AF, Ashtarinezhad A. Antibiotics self-medication among southern iranian university students. Int J Pharmacol. 2010;6: 48–52. 10.3923/ijp.2010.48.52 [DOI] [Google Scholar]
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