<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">PP</journal-id><journal-title-group><journal-title>Pharmacology &amp; Pharmacy</journal-title></journal-title-group><issn pub-type="epub">2157-9423</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/pp.2019.101004</article-id><article-id pub-id-type="publisher-id">PP-89947</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Chemistry&amp;Materials Science</subject><subject> Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Access to Antibiotics through Prescription and Non-Prescription Media in Private Pharmacies in Lom&#233;, Togo
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yao</surname><given-names>Potchoo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Salou</surname><given-names>Mounerou</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rasak</surname><given-names>Soukouratou</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dossim</surname><given-names>Sika</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Koumavi</surname><given-names>D. Ekouevi</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yerima</surname><given-names>Mouhoudine</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Prince-David</surname><given-names>Mireille</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Anoumou</surname><given-names>Y. Dagnra</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Département de Santé Publique, Faculté des Sciences de la Santé, Université de Lomé, Lomé, Togo</addr-line></aff><aff id="aff1"><addr-line>Département des Sciences pharmaceutiques et biologiques, Faculté des Sciences de la Santé, Université de Lomé, Lomé, Togo</addr-line></aff><aff id="aff3"><addr-line>Département des Sciences fondamentales, Faculté des Sciences de la Santé, Université de Lomé, Lomé, Togo</addr-line></aff><pub-date pub-type="epub"><day>29</day><month>12</month><year>2018</year></pub-date><volume>10</volume><issue>01</issue><fpage>31</fpage><lpage>47</lpage><history><date date-type="received"><day>10,</day>	<month>December</month>	<year>2018</year></date><date date-type="rev-recd"><day>14,</day>	<month>January</month>	<year>2019</year>	</date><date date-type="accepted"><day>17,</day>	<month>January</month>	<year>2019</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution-NonCommercial International License (CC BY-NC).http://creativecommons.org/licenses/by-nc/4.0/</license-p></license></permissions><abstract><p>
 
 
   
   <b>Objectives:</b>
    The present study was conducted to describe and analyze antibiotic demands via prescription and non-prescription media received in private pharmacies in Lom&#233;. <b>Methods: </b>A cross
   -
   sectional study was conducted in 26 private pharmacies in Lom&#233; (Togo) from August to October 2013. The study was based on a survey conducted with a standardized questionnaire to collect data representing the daily activity of the pharmacies. Data on prescription documents, non-prescription media, patients’ and prescribers’ identification, and antibiotics requested were collected and analyzed. <b>Key findings: </b>During the study period, 596 antibiotic prescriptions were collected. Various prescription and non-prescription media permit
   ted
    available antibiotic access in private pharmacies. Seventy-nine percent (79%) of the received orders contained one antibiotic. All categories of health care professionals were found among antibiotic prescribers. Prescribers were not identifiable in 40.2% of all prescription tools received for antibiotics demand. Forty-four percent (44%) of antibiotic orders were supported by a prescription. The study 
   found
    that many people ordering antibiotic (61%) were not the direct users. Some elements of prescription compliance 
   were
    mentioned at the rate of 82%, 44.7% and 59% (date, prescribers’ identity and qualification), 3/4 of the prescription material (patients’ identity and sex), more than 87% (accuracy of the dosage), 79.7% (oral route of administration) and less than 1/3 (duration of treatment). The results also indicate
   d
    that Beta-lactams (41%), quinolones (17%), and 5-nitroimidazoles (15%) were the most prescribed classes of antibiotics. <b>Conclusions: </b>The study revealed that more than half of the antibiotics orders, received in pharmacies were non-compliant. This calls for an awareness of healthcare workers and populations on the rational use of antibiotics.
    
   Access to antibiotics should be further controlled (prescription dispensing), community should ban other media of obtaining antibiotics without a prescription and avoid particularly antimicrobial self-medication. 
  
 
</p></abstract><kwd-group><kwd>Antibiotics</kwd><kwd> Prescription Media</kwd><kwd> Non-Prescription Media</kwd><kwd> Antibiotic User</kwd><kwd> Prescription Compliance</kwd><kwd> Private Pharmacy</kwd><kwd> Togo</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Medicines are the weapons to fight against disease but may also cause serious harm when used improperly [<xref ref-type="bibr" rid="scirp.89947-ref1">1</xref>] . In developing countries, drug monitoring system is very poor and it is very easy to buy any drug with or without prescription [<xref ref-type="bibr" rid="scirp.89947-ref2">2</xref>] . This inappropriate way administering medicine is one of the key elements which promote irrational use of medicine [<xref ref-type="bibr" rid="scirp.89947-ref3">3</xref>] . More than 50% of all medicines prescribed, dispensed, or sold around the globe are somehow inappropriate and 50% of the patients fail to take medicines appropriately [<xref ref-type="bibr" rid="scirp.89947-ref4">4</xref>] . The irrational use of medicines may occur in different forms but self-medication is the most frequent forms [<xref ref-type="bibr" rid="scirp.89947-ref5">5</xref>] . Besides, the quality of drugs and inappropriate use of antibiotics constitute a growing concern [<xref ref-type="bibr" rid="scirp.89947-ref6">6</xref>] . Both non-quality drugs and inappropriate use can lead to some outcomes such as excess healthcare cost, adverse drug reaction, allergic reactions, toxic poisoning, exacerbation or extension of critical illness and antibiotic resistance [<xref ref-type="bibr" rid="scirp.89947-ref7">7</xref>] . In developing countries like Togo, people depend more on pharmacies due to expediency, shorter waiting time, cost reduction, and flexible opening hours [<xref ref-type="bibr" rid="scirp.89947-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.89947-ref9">9</xref>] . In public and private settings, we observe overprescriptions, misuse of antibiotics, lack of data on antibiotic consumption, lack of supervisory program and guidelines for antibiotic use and low adherence to treatment guidelines [<xref ref-type="bibr" rid="scirp.89947-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.89947-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.89947-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.89947-ref13">13</xref>] . Antimicrobial resistance (AMR) has become a global public health issue. ATBs should be prescribed after performing an antibiogram test. However, in our settings, because of the time frame to deliver the results of this laboratory test (24 to 48 hours), nearly 80% of ATBs prescriptions are probabilistic [<xref ref-type="bibr" rid="scirp.89947-ref14">14</xref>] . In addition, in sub-Saharan countries such as Togo, it is also observed that ATBs’ prescription is no longer under the sole responsibility of the physician. Thus, it is not rare to see some customers ordering ATBs just to provide well-being [<xref ref-type="bibr" rid="scirp.89947-ref15">15</xref>] . The outcome of these generalized prescriptions and presumably overconsumption of ATBs could lead to the emergence of bacteria strains multi-resistant to ATBs available [<xref ref-type="bibr" rid="scirp.89947-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.89947-ref16">16</xref>] . As shown by several studies, Togo does not escape the phenomenon of AMR [<xref ref-type="bibr" rid="scirp.89947-ref17">17</xref>] . This study aims at describing and analysing ATBs’ demands through prescribed or non-prescribed materials received in private pharmacies of Lom&#233; (Togo).</p></sec><sec id="s2"><title>2. Methods</title><p>A survey was carried out in private pharmacies in Lom&#233; from August to October 2013. The choice of Lom&#233; for this study is justified by the fact that it is the largest city and at the same time the capital of Togo. It is a cosmopolitan city characterized by a high concentration of care facilities (public, private and confessional), drug distribution structure, private pharmacies, health personnel of all categories (teachers, doctors, surgeons, medical-assistants, nurses, midwives...) and a better organized and more efficient health system. As a result, health needs are much more pronounced, with the attendant need for access to medicines, particularly antibiotics with or without prescriptions, which is the current problem because of the potential risk of resistance.</p><p>It was a cross-sectional study designated to provide a descriptive analysis of ATBs’ orders (or demands) received in private pharmacies. <xref ref-type="fig" rid="fig1">Figure 1</xref> is the map of the licensed pharmacies of Lom&#233; during the study.</p><sec id="s2_1"><title>2.1. Eligible Pharmacies</title><p>Inclusion Criteria</p><p>All the prescriptions’ media containing at least one ATB were collected.</p><p>Exclusion Criteria</p><p>The prescriptions’ tools containing antibiotics for which the carriers refused to take part in our study.</p></sec><sec id="s2_2"><title>2.2. Data Collection</title><p>We used the 2013 second semester duty program to select data collection sites. The area of Lom&#233; was divided into 7 parts rated from 1 to 7. The collections’ sites (private pharmacies) were selected randomly in each part. The pharmacies eligible for data collection are shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>.</p><p>We designed a questionnaire to collect the following information:</p><p>・ description of the prescription bearer: user or issuer;</p><p>・ description of the prescription document: prescription sheet, health record book, piece of paper, text message, drug packaging, oral request, and other media;</p><p>・ information on prescribed molecules: International Common Denomination (ICD), brand name, dosage, duration of treatment, route of administration;</p><p>・ qualification of the prescriber: physician (general practitioner, specialist), resident medical student, physician-assistant, nurse, mid-wife, and other prescribers (responsible, technical health officer, nursing aid, health scientist);</p><p>・ prescription issuing facility: university hospital, intermediate health care center (regional and district hospitals), health center, denominational facility, private facility, or unknown issuing facility;</p><p>・ patient information: identity, age, weight, and gender.</p><p>All drug prescription documents containing at least one ATB received at the research sites at the time of the survey were included in the study. The regulatory compliance of prescription documents was checked according to the standards of the World Health Organisation (WHO) [<xref ref-type="bibr" rid="scirp.89947-ref18">18</xref>] . The data were processed and analyzed using Epi Data 3.1 and Microsoft Excel<sup>&#174;</sup> software.</p></sec></sec><sec id="s3"><title>3. Results</title><p>596 antibiotic demand materials were received across 26 private eligible pharmacies during the period of the study.</p><sec id="s3_1"><title>3.1. Antibiotic Demand Materials and Their Delivery in Non-Prescription Pattern</title><p>About 61.0% (n = 366) of people who requested ATBs were not the direct beneficiaries. Patient’s verbal requests (23.3%) dominated among the demands without prescription followed by other media (8.9%) and external packaging (3.7%). The different kinds of antibiotic demand received are summarized in <xref ref-type="table" rid="table1">Table 1</xref>.</p></sec><sec id="s3_2"><title>3.2. Regulatory Compliance of Medical Prescriptions</title><p>Forty-four percent (44%) of ATB’s requests were made by submitting a formal prescription (prescription sheet (32.4%) and health record book (11.6%), n = 262) (<xref ref-type="table" rid="table1">Table 1</xref>). Seventy-nine (79%, n = 471) percent of the received media contained one ATB prescribed.</p><p>Eighty-two (82%, n = 310) percent of paper prescription media (prescription sheet, health record book, piece of paper, n = 378) were dated. Prescribers’ qualifications were mentioned in 59% of the orders registered. Three out of four paper prescription media mentioned patients’ identity and sex. The age of children is reported on 27% of prescription media and children’s weight on 23.1% (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p><p>Fifty one out of 193 antibiotic prescribers (40.2%) were not identified. The prescribers’ profile is summarized in <xref ref-type="table" rid="table2">Table 2</xref>. They were dominated by physician (18.8%) followed by other prescribers (16.7%), nurses (11.4%), physician-assistants</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Different prescriptions’ documents (n = 596) collected in private pharmacies</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Type of access</th><th align="center" valign="middle" >Type of document</th><th align="center" valign="middle" >n</th><th align="center" valign="middle" >Frequency (%)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="3"  >With prescription</td><td align="center" valign="middle" >Prescription sheet</td><td align="center" valign="middle" >193</td><td align="center" valign="middle" >32.4</td></tr><tr><td align="center" valign="middle" >Health record book</td><td align="center" valign="middle" >069</td><td align="center" valign="middle" >11.6</td></tr><tr><td align="center" valign="middle" >Piece of paper</td><td align="center" valign="middle" >116</td><td align="center" valign="middle" >19.5</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Without prescription</td><td align="center" valign="middle" >Patient's verbal request</td><td align="center" valign="middle" >139</td><td align="center" valign="middle" >23.3</td></tr><tr><td align="center" valign="middle" >External packaging</td><td align="center" valign="middle" >022</td><td align="center" valign="middle" >03.7</td></tr><tr><td align="center" valign="middle" >Short message system</td><td align="center" valign="middle" >004</td><td align="center" valign="middle" >00.7</td></tr><tr><td align="center" valign="middle" >Other media</td><td align="center" valign="middle" >053</td><td align="center" valign="middle" >08.9</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >596</td><td align="center" valign="middle" >100.0</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Prescription documents according to prescribers’ qualification (n = 378)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Prescription sheet</th><th align="center" valign="middle" >Health record book</th><th align="center" valign="middle" >Piece of paper</th><th align="center" valign="middle" >Total</th><th align="center" valign="middle" >(%)</th></tr></thead><tr><td align="center" valign="middle" >Physicians</td><td align="center" valign="middle" >63</td><td align="center" valign="middle" >03</td><td align="center" valign="middle" >05</td><td align="center" valign="middle" >71</td><td align="center" valign="middle" >18.8</td></tr><tr><td align="center" valign="middle" >Physician assistants</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >08</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >10.9</td></tr><tr><td align="center" valign="middle" >Midwives</td><td align="center" valign="middle" >02</td><td align="center" valign="middle" >06</td><td align="center" valign="middle" >00</td><td align="center" valign="middle" >08</td><td align="center" valign="middle" >02.1</td></tr><tr><td align="center" valign="middle" >Nurses</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >07</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >11.4</td></tr><tr><td align="center" valign="middle" >Other prescribers</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >63</td><td align="center" valign="middle" >16.7</td></tr><tr><td align="center" valign="middle" >Unidentified prescribers</td><td align="center" valign="middle" >51</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >78</td><td align="center" valign="middle" >152</td><td align="center" valign="middle" >40.2</td></tr></tbody></table></table-wrap><p>(10.9) and midwives (2.1%).</p></sec><sec id="s3_3"><title>3.3. Therapeutic Scheme of the Prescription</title><p>The oral route (79.7%) was the most frequent administration way reported on antibiotic demand media (n = 596). The accuracy of the dosage (strength) was documented by the different types of healthcare facilities as shown in <xref ref-type="fig" rid="fig4">Figure 4</xref>. The mention rate was more than 85% for confessional, regional hospital, health center, private and teaching hospital and about 68% for unknown health care facilities.</p><p>More than 87% of prescribers mentioned the dosage on prescription documents as shown in <xref ref-type="fig" rid="fig5">Figure 5</xref>. In decreasing order, the dosage specification was physicians (94.4%) followed by nurses (93%), physician-assistants (90.2%), midwives (87.5%) and other prescribers (79.4%).</p><p>The duration of the treatment was not specified in more than 3/4 of the prescriptions issued from each type of facility (<xref ref-type="fig" rid="fig6">Figure 6</xref>). The lack of mention of this order parameter of quality is in decreasing frequency: private facilities (89.3%), regional hospital (82.1%), teaching hospital (77.8%) and health center (75%). The duration of treatment was correctly mentioned on 22.2% of prescription media for teaching hospital, 21.2% for health center, 17.9% for regional hospital and 10.1% for private facility.</p><p><xref ref-type="fig" rid="fig7">Figure 7</xref> shows that, 100% of midwives do not mention the duration of treatment; followed by other prescribers (95.2%), physician-assistants (80.5%), nurses (79.0) and physicians (63.4%). Less than 50% of each category of prescribers reported correctly the duration of treatment (<xref ref-type="fig" rid="fig7">Figure 7</xref>). The frequency of reporting the duration of treatment is 33.8% for physicians, 17.1% for physician-assistants and 14% for nurses.</p></sec><sec id="s3_4"><title>3.4. Classes of Antibiotics Requested</title><p>The most prescribed or requested classes of ATBs were beta-lactams (40.9%),</p><p>quinolones (16.7%), 5-nitro-imidazoles (15.3%), aminosides (7.7%) and macrolides (5.7%) as shown in <xref ref-type="fig" rid="fig8">Figure 8</xref>.</p></sec></sec><sec id="s4"><title>4. Discussion</title><sec id="s4_1"><title>4.1. Limits of the Study</title><p>The present work did not collect data for clinical use of antibiotic requested and patient recovery; hence the treatment outcome could not be determined. Moreover, we did not consider self-medication and its determinants.</p><p>As reported by some authors in their studies, information on antibiotic consumption is needed to control the development and spread of resistant bacteria</p><p>[<xref ref-type="bibr" rid="scirp.89947-ref19">19</xref>] . Prudent use of antimicrobials helps to prevent the relentless increase in resistance [<xref ref-type="bibr" rid="scirp.89947-ref20">20</xref>] .</p></sec><sec id="s4_2"><title>4.2. Antibiotic Demand Materials and Their Delivery in Non-Prescription Pattern</title><p>About 61.0% (n = 366) of the people who requested ATBs were not the direct users. To the best of our knowledge, there is little literature related to this topic. In our context, it is common that the applicant for medicines in general and ATB in particular who visits private pharmacies is not the direct beneficiary but rather a friend or a parent or even a child. This further increases the risk of antibiotic therapy since in case of advice for an adequate use of ATB, it is not sure that these pieces of advice will be faithfully transmitted to the real beneficiary of the treatment. This situation could cause misunderstanding and non-compliance with the treatment by the patient, which is a source of antimicrobial resistance.</p><p>Patient’s verbal requests (23.3%) dominated among antibiotic demands without prescription. They were followed by other media (8.9%) and external packaging (3.7%). There is not much literature concerning the media through which clients access antibiotics in private pharmacies. However, in Northern Ireland, more than 25% and 55% respectively of all systemic and topical antimicrobials were initiated following telephone consultations [<xref ref-type="bibr" rid="scirp.89947-ref21">21</xref>] . This high rate of verbal requests and the use of external package and other media observed in our study show a practice of antibiotic self-medication favored by the weakness in antibiotic policies that could amplify the phenomenon of antimicrobial resistance.</p></sec><sec id="s4_3"><title>4.3. Antibiotic Demand Materials in Prescription Pattern</title><p>Forty-four percent (44%) out of 596 ATBs’ demand documents collected during the study period were supported by a formal prescription (prescription sheet, 32.4% and health record book, 11.6%). Chem et al. reported an overall percentage prescription with antibiotics of 36.7% in primary health care facilities in Cameroon [<xref ref-type="bibr" rid="scirp.89947-ref20">20</xref>] . In the evaluation of medicines administering pattern in private pharmacies in Rajshahi (Bangladesh), Saha and Hossain reported 65.83% of antimicrobials dispensed on prescription [<xref ref-type="bibr" rid="scirp.89947-ref1">1</xref>] . In hospitalized population, Prah et al. indicated 55.2% of antibiotics on prescriptions in primary facility in Ghana [<xref ref-type="bibr" rid="scirp.89947-ref22">22</xref>] , and Diarra (2007) observed a higher rate of antibiotic prescription (99.70%) during a study conducted at the Point G University Hospital in Bamako [<xref ref-type="bibr" rid="scirp.89947-ref23">23</xref>] . In urban areas, the rate of ATB prescription of our study is lower than that reported by Rajshahi in Bangladesh. At hospital, the rate of ATB prescription seems to increase from primary health care setting to teaching hospital setting. Globally, it is difficult to compare these results because various factors influence antibiotic prescription. These factors include patient characteristics such as low-socioeconomic status, age and co-morbidity; physician factors (educational qualification, experience, source of updating knowledge); and practice setting [<xref ref-type="bibr" rid="scirp.89947-ref24">24</xref>] - [<xref ref-type="bibr" rid="scirp.89947-ref29">29</xref>] . Moreover, other factors related to antibiotic prescription are diagnostic uncertainty, perceived demand and expectation from the patients, practice sustainability, influence from medical representatives and inadequate knowledge [<xref ref-type="bibr" rid="scirp.89947-ref30">30</xref>] [<xref ref-type="bibr" rid="scirp.89947-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.89947-ref32">32</xref>] ; antibiotic availability, prescriber in-service training [<xref ref-type="bibr" rid="scirp.89947-ref33">33</xref>] ; influence of patient demand for antibiotics on doctor’s decision [<xref ref-type="bibr" rid="scirp.89947-ref34">34</xref>] [<xref ref-type="bibr" rid="scirp.89947-ref35">35</xref>] , cultural aspects [<xref ref-type="bibr" rid="scirp.89947-ref36">36</xref>] etc. In this regard, it is necessary to understand physicians’ prescription behaviour in order to develop interventions that will effectively improve the use of antibiotics [<xref ref-type="bibr" rid="scirp.89947-ref20">20</xref>] .</p><p>Seventy-nine percent (79%) of the received documents in private pharmacies contained one ATB prescribed compared to the majority of prescriptions (87.42%) with one antibiotic in primary health care setting in Cameroon [<xref ref-type="bibr" rid="scirp.89947-ref20">20</xref>] . Almost every 48% of valid prescriptions had at least one antibiotic in private pharmacies, which is too high [<xref ref-type="bibr" rid="scirp.89947-ref1">1</xref>] . Differences in the incidence of infectious disease [<xref ref-type="bibr" rid="scirp.89947-ref37">37</xref>] probably explain the above different high rate of antibiotic consumption.</p></sec><sec id="s4_4"><title>4.4. Regulatory Compliance of Antibiotic Prescriptions</title><p>Our findings are compared with literature data as part of the prescriptions in general practice since antibiotic-specific prescription data are rare.</p><p>Eighty-two (82%, n = 310) percent of paper prescription media (prescription sheet, health record book, piece of paper, n = 378) were dated. In a study conducted in private and public pharmacies among random clients, Potchoo et al. reported that 73.04% of prescription media specified the date [<xref ref-type="bibr" rid="scirp.89947-ref38">38</xref>] . The date of the prescription (87.0%) was well mentioned in a study conducted in randomly chosen private pharmacies in Bobo Dioulasso (Burkina Faso) [<xref ref-type="bibr" rid="scirp.89947-ref39">39</xref>] and 56.60% of medical prescriptions were dated and signed [<xref ref-type="bibr" rid="scirp.89947-ref39">39</xref>] . The date of the prescription enables to determine the validity period of the prescription depending on the country (no time limit to three or six months) [<xref ref-type="bibr" rid="scirp.89947-ref18">18</xref>] . With regards to the signature of the prescriber, it is mandatory and is a component of the prescription authentication.</p><p>The identity and qualification of the prescribers were mentioned respectively in 44.7% and 59% of the orders received. Potchoo et al. reported that prescribers did not mention their name or their qualification in 47.75% and 33.04% of cases respectively [<xref ref-type="bibr" rid="scirp.89947-ref38">38</xref>] . Several medical prescriptions did not mention prescribers’ identities (75.8%) and the qualification of the prescriber was missing on 68.4% of prescriptions in a study carried out by Fofana et al. [<xref ref-type="bibr" rid="scirp.89947-ref39">39</xref>] . In France more than 2/3 of the orders carry the qualification of the prescriber [<xref ref-type="bibr" rid="scirp.89947-ref40">40</xref>] [<xref ref-type="bibr" rid="scirp.89947-ref41">41</xref>] . In Switzerland, 96.1% of prescriptions mention the qualification of the prescriber [<xref ref-type="bibr" rid="scirp.89947-ref42">42</xref>] . This higher rate of mention in developed countries may be due to the computerization of prescription system in which some information related to prescribers such as name, qualification, address and phone number are pre-printed on the form [<xref ref-type="bibr" rid="scirp.89947-ref18">18</xref>] . This detailed information protects the responsibility in the implementation of the therapy and are useful to identify patient’s care route. Besides, it facilitates the communication with the pharmacist. In Togo where dispensation is granted to physician-assistants, nurses and midwives, the mention of the prescriber’s qualification will allow to check the health care provider competence, the order authentication or entitlement to prescribe certain drugs in accordance with regulations.</p><p>Three out of four paper prescription media mentioned patients’ identity and sex. This rate is higher than that observed in the study carried out in 2009 by Potchoo et al. in which the orders did not mention patient’s name in 41.18% of prescription [<xref ref-type="bibr" rid="scirp.89947-ref38">38</xref>] . The age of children is reported on less than one third of prescription media and children’s weight on less than one fourth. These low rates of mention of the information related to patient and more particularly to children shows that the prescribers did not respect the regulations in force. Thus, they expose patients to certain drug risks (dispensing an adult dosage for a child in case of lack of children’s age and weight) and reduce the medicines’ traceability. In the study of Fofana et al., information on the patients was missing such as patient’s age in 79.4% of prescriptions, weight in 26 out of 27 cases of pediatric prescriptions and identity in 21.0% of prescriptions [<xref ref-type="bibr" rid="scirp.89947-ref39">39</xref>] . Again, the identity of the patient on a prescription form is mandatory [<xref ref-type="bibr" rid="scirp.89947-ref18">18</xref>] . Patient’s name allows individualisation and traceability of the prescription and permit to avoid delivery or treatment mistakes. Age, weight and sex are also distinctive features which lead to characterise two patients. Information on weight is required on children’s prescription, especially when the dosage is given in mg/kg of the patient body weight or in body weight group. The mention of the age is also required especially for children as certain medicines dosage are given in age or age group.</p><p>About 40.2% of ATB prescribers (51/193) were not identified against 33% as reported by Potchoo et al. in their study [<xref ref-type="bibr" rid="scirp.89947-ref38">38</xref>] . Prescribers’ profile was represented by physician (18.8%) followed by other prescribers (16.7%), nurses (11.4%), physician-assistants (10.9) and midwives (2.1%). A 2007 survey in Bamako, (Mali) examined 1000 prescriptions received in pharmacy. The survey showed that 17.90% of antibiotics prescriptions at the Point G Hospital were issued by a staff comprising technicians, aids and non-residents [<xref ref-type="bibr" rid="scirp.89947-ref23">23</xref>] . Potchoo et al. reported that 31.37% of physicians, 12.55% of physician-assistants, 14.71% of nurses and 8.33% of midwifes in their study [<xref ref-type="bibr" rid="scirp.89947-ref38">38</xref>] against 17.4% of physicians, 12.15% of nurse, 1.52% of medical trainees and 0.55% of midwife were observed in the study of Fofana et al. [<xref ref-type="bibr" rid="scirp.89947-ref39">39</xref>] . It should be pointed out that physician-assistants (medical assistants) are a category of trained health professionals between doctors and nurses in Togo for the needs of the national health system. For other health professionals, the differences observed remain at the level of the area of the study (capital of Togo and second city of Burkina Faso). The entitlement to prescribe is assessed according to the qualification of the prescriber to secure the use of prescribed drug. In Togo, the prescriptions of physicians and dentists’ are free within their respective competences as in the worldwide. Every country has its own laws and regulations to define which drugs require a prescription and who is entitled to prescribe it [<xref ref-type="bibr" rid="scirp.89947-ref18">18</xref>] .</p></sec><sec id="s4_5"><title>4.5. Therapeutic Scheme of Antibiotic Prescription</title><p>The accuracy of the dosage was documented by the different types of health care facilities and different category of prescribers but we did not find the data for comparison in literature. More than 87% of prescribers mentioned the dosage on prescription documents. This rate seems to be improved by sensitizations since Potchoo et al. (2009) report 54.51% of no dosage mention in their study [<xref ref-type="bibr" rid="scirp.89947-ref38">38</xref>] . The study conducted by Fofana et al. has revealed that pharmaceutical form and dosage were frequently omitted (56.6%) [<xref ref-type="bibr" rid="scirp.89947-ref39">39</xref>] . El Bara (2013) in Mauritania [<xref ref-type="bibr" rid="scirp.89947-ref43">43</xref>] and Shahaibi et al. (2012) in Oman [<xref ref-type="bibr" rid="scirp.89947-ref44">44</xref>] also found a high proportion of prescriptions without any mention of form or dosage (88% and 35% respectively). However, the precision of the pharmaceutical form is an important element of the prescription quality because it takes into account the characteristics of the patient (age, preference), the treatment objectives and pharmacokinetic characteristics (speed of action, delay of action, duration of action, bioavailability, prolonged action...) and the drug availability. The omission of the dosage mention expose child patients to certain drug harm (dispensing an adult dosage for a child in case of lack of children’s age and weight) and thus reducing the treatment security.</p><p>The oral route (79.7%) was the most frequent administration way reported on antibiotic demand media (n = 596) compared to 54.51% of non-mention of the route of administration in the study published by Potchoo et al. [<xref ref-type="bibr" rid="scirp.89947-ref38">38</xref>] . The rate of administration route mention recorded in our study is higher than that reported in the study of Fofana et al. in which 95.42% of route of administration was missing [<xref ref-type="bibr" rid="scirp.89947-ref39">39</xref>] . The author explained this low rate of reference by the fact that some prescribers deduct the route of administration from the pharmaceutical directions for use. However, some drugs exist in the same form but are administrated through distinctive route of administration (for example Nystatin, oral and vaginal tablet) [<xref ref-type="bibr" rid="scirp.89947-ref39">39</xref>] . The omission to indicate the route of administration is a source of therapeutic error [<xref ref-type="bibr" rid="scirp.89947-ref45">45</xref>] [<xref ref-type="bibr" rid="scirp.89947-ref46">46</xref>] . Indeed, the route of administration influences the rapidity of action, bioavailability and effectiveness of the drug.</p><p>The duration of treatment was not specified in more than 3/4 of prescriptions issued from all type of facility. The frequency of reporting the duration of treatment was less than 50% (33.8% for physicians, 17.1% for physician-assistants and 14% for nurses) compared with the study of Potchoo et al. in which the rate of mention of this parameter was 38.13% for physicians, 31.38% for physician-assistants, 27.06% for midwifes and 22% for nurses [<xref ref-type="bibr" rid="scirp.89947-ref38">38</xref>] . Globally, the rate for non-specifying the duration of treatment of the present study is almost similar to that reported by Potchoo et al. in their study (78.04%) [<xref ref-type="bibr" rid="scirp.89947-ref38">38</xref>] but lower compared to that observed by Fofana et al. who noted a lack of treatment duration on 85.5% of studied prescriptions [<xref ref-type="bibr" rid="scirp.89947-ref39">39</xref>] . This parameter is determined by taking into account the time necessary to achieve and maintain an effective steady state. The absence of the duration of the treatment can be particularly harmful in the field of anti-biotherapy. Indeed, it can induce a disease relapse, or resistances by insufficient treatment (shorter duration compared to the recommended duration) or lead to the leftover antibiotics stored at home [<xref ref-type="bibr" rid="scirp.89947-ref47">47</xref>] which could be responsible for self-medication and its outcomes.</p></sec><sec id="s4_6"><title>4.6. Classes of Antibiotics Requested</title><p>Beta-lactams (40.9%), quinolones (16.7%), 5-nitro-imidazoles (15.3%), aminosides (7.7%) and macrolides (5.7%) were the most purchased classes of ATBs. Musey et al. in a study finds 57.7% of beta-lactams, 14.9% of quinolones and 5.9% of 5-nitro-imidazoles [<xref ref-type="bibr" rid="scirp.89947-ref48">48</xref>] . However, for Coulibaly, the beta-lactams represented 47.4%, followed by aminoglycosides (28.10%), quinolones (10.30%), and 5-nitro-imidazoles (8.50%) [<xref ref-type="bibr" rid="scirp.89947-ref49">49</xref>] . In Uganda, the majority of drug shops sold antibiotics to their clients 2 weeks prior to the survey with amoxicillin (89.5%), trimethoprim-sulfamethoxazole (septrin, 95.6%), tetracycline (51.9%), gentamicin (41.3%), penicillin (56.9%) [<xref ref-type="bibr" rid="scirp.89947-ref50">50</xref>] . The major amount of antimicrobials (65.83%) dispensed on prescription in Rajshahi (Bangladesh) were macrolides, quinolones, metronidazoles and cephalosporins which are the most favourite drug of quacks, clients and pharmacists. The majority (92.9%) of these drugs were broad spectrum and mostly penicillin [<xref ref-type="bibr" rid="scirp.89947-ref1">1</xref>] . The study of Chem et al. in Cameroon reported that the most prescribed antibiotics were Amoxicillin (29.29%), Cotrimoxazole (19.08%) and Metronidazole (15.59%) in East West District facilities [<xref ref-type="bibr" rid="scirp.89947-ref20">20</xref>] . As previously discussed, differences in the incidence of infectious disease [<xref ref-type="bibr" rid="scirp.89947-ref36">36</xref>] , sensibility of bacterial stains, factors related to patients, prescribers, medical representatives, antibiotic availability, and the environment could explained the above profiles of antibiotic classes prescribed or requested.</p></sec></sec><sec id="s5"><title>5. Conclusion</title><p>In our context, various media with prescription or without prescription permitted antibiotic requestors to access antibiotic available in private pharmacies. The antibiotic requestor is either the direct beneficiary or a relative beneficiary including the children. The regulation in force in prescription matter is not fully respected with regard to the mention of information concerning the prescriber, the patient and those related to medicine (dosage, route and rhythm of administration, and duration of treatment) whatever the health care facility and the category of health professional. Almost all ATBs’ classes are prescribed in Lom&#233; with a high frequency of beta-lactams, quinolones and 5-nitro-imidazoles. They are prescribed in all kinds of health care centers in which all categories of professionals prescribe them in any available media. Moreover, it is not rare to see a patient in a drugstore asking for ATBs because they feel the need of taking them. All those habits contribute to maintain and increase AMR cases. Access to antibiotics should be further controlled (prescription dispensing). Community should ban other media of obtaining antibiotics without a prescription and avoid particularly antimicrobial self-medication.</p></sec><sec id="s6"><title>Acknowledgements</title><p>We would like to thank the pharmacy staff that took part in this study. We are also grateful to Professor Essowe K. Essizewa for reviewing the language quality of this work.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Potchoo, Y., Mounerou, S., Soukouratou, R., Sika, D., Ekouevi, K.D., Mouhoudine, Y., Mireille, P.-D. and Dagnra, A.Y. (2019) Access to Antibiotics through Prescription and Non-Prescription Media in Private Pharmacies in Lom&#233;, Togo. Pharmacology &amp; Pharmacy, 10, 31-47. https://doi.org/10.4236/pp.2019.101004</p></sec></body><back><ref-list><title>References</title><ref id="scirp.89947-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Saha, S. and Hossain, Md.T. (2017) Evaluation of Medicines Dispensing Pattern of Private Pharmacies in Rajshahi, Bangladesh. BMC Health Service Research, 17, 136. https://doi.org/10.1186/s12913-017-2072-z</mixed-citation></ref><ref id="scirp.89947-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Bennadi, D. (2013) Self-Medication: A Current Challenge. Journal of Basic and Clinical Pharmacy, 5, 19-23. https://doi.org/10.4103/0976-0105.128253</mixed-citation></ref><ref id="scirp.89947-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Chaturvedi, V.P., Mathur, A.G. and Anand, A.C. (2012) Rational Drug Use—As Common as Common Sense? Medical Journal Armed Forces India, 68, 206-208. https://doi.org/10.1016/j.mjafi.2012.04.002</mixed-citation></ref><ref id="scirp.89947-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">World Health Organization (2002) Promoting Rational Use of Medicines: Core Components—WHO Policy Perspectives on Medicines. http://apps.who.int/medicinedocs/en/d/Jh3011e/2.html</mixed-citation></ref><ref id="scirp.89947-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Shankar, P.R. (2009) Medicines Use in Primary Care in Developing and Transitional Countries: Fact Book Summarizing Results from Studies Reported between 1990 and 2006. Bull World Health Organ, 87, 804-805. https://doi.org/10.2471/BLT.09.070417</mixed-citation></ref><ref id="scirp.89947-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Morgan, D.J., Okeke, I.N., Laxminarayan, R., et al. (2011) Non-Prescription Antimicrobial Use Worldwide: A Systematic Review. The Lancet Infectious Diseases, 11, 692-701. https://doi.org/10.1016/S1473-3099(11)70054-8</mixed-citation></ref><ref id="scirp.89947-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Kamat, V.R. and Nichter, M. (1998) Pharmacies, Self-Medication and Pharmaceutical Marketing in Bombay, India. Social Science &amp; Medicine, 47, 779-794. https://doi.org/10.1016/S0277-9536(98)00134-8</mixed-citation></ref><ref id="scirp.89947-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Kafle, K.K., Gartoulla, R.P., Pradhan, Y.M., et al. (1992) Drug Retailer Training: Experiences from Nepal. Social Science &amp; Medicine, 35, 1015-1025. https://doi.org/10.1016/0277-9536(92)90241-H</mixed-citation></ref><ref id="scirp.89947-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Basak, S. and Sathyanarayana, D. (2010) Evaluating Medicines Dispensing Patterns at Private Community Pharmacies in Tamilnadu, India. Southern Med Review, 3, 27-31.</mixed-citation></ref><ref id="scirp.89947-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Pathak, A., Mahadik, K., Dhaneria, S.P., et al. (2011) Antibiotic Prescribing in Outpatients: Hospital and Seasonal Variations in Ujjain. India. Scandinavian Journal of Infectious Diseases, 43, 479-488. https://doi.org/10.3109/00365548.2011.554854</mixed-citation></ref><ref id="scirp.89947-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Kotwani, A. and Holloway, K. (2011) Trends in Antibiotic Use among Outpatients in New Delhi, India. BMC Infectious Diseases, 11, 99. https://doi.org/10.1186/1471-2334-11-99</mixed-citation></ref><ref id="scirp.89947-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Kotwani, A., Roy Chaudhury, R. and Holloway, K. (2012) Antibiotic Prescribing Practices of Primary Care Prescribers for Acute Diarrhoea in New Delhi India. Value Health, 15, S116-S119. https://doi.org/10.1016/j.jval.2011.11.008</mixed-citation></ref><ref id="scirp.89947-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Pathak, D., Pathak, A., Marrone, G., et al. (2011) Adherence to Treatment Guidelines for Acute Diarrhoea in Children Up to 12 Years in Ujjain India—A Cross-Sectional Prescription Analysis. BMC Infectious Diseases, 11, 32. https://doi.org/10.1186/1471-2334-11-32</mixed-citation></ref><ref id="scirp.89947-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Eholié, S.P., Bissagnené, E. and Crémieux, A.-C. (2013) Du bon usage des antibiotiques en Afrique sub-saharienne. IMEA, Paris.</mixed-citation></ref><ref id="scirp.89947-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Hansini Bhoobdasur, L. (2014) Automédication: L’abus d’antibiotiques peut s’avérer fatal. L’express. http://www.lexpress.mu/node/245250</mixed-citation></ref><ref id="scirp.89947-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Salou, M., Assimadzi, K., Wateba, I.M., et al. (2011) Résistance aux antibiotiques des bactéries isolées en 2009 au laboratoire de bactériologie du CHU-Tokoin Lomé-Togo. Journal de la Recherche Scientifique de l’Université de Lomé, 13, 151-159.</mixed-citation></ref><ref id="scirp.89947-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Dagnra, A.-Y., Akolly, K., Gbadoe, A., et al. (2007) émergence des souches de salmonelles multirésistantes aux antibiotiques à Lomé (Togo). Médecine et Maladies Infectieuses, 37, 266-2669. https://doi.org/10.1016/j.medmal.2007.02.002</mixed-citation></ref><ref id="scirp.89947-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">de Vries, T.P.G.M., Henning, R.H., Hogerzeil, H.V. and Fresle, A. (1994) Good Prescribing. A Practical Manual. WHO/DAP/94.11, 142 p.</mixed-citation></ref><ref id="scirp.89947-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Padget, M., Tamarelle, J., Herindrainy, P., et al. (2017) BIRDY Study Group. A Community Survey of Antibiotic Consumption among Children in Madagascar and Senegal: The Importance of Healthcare Access and Care Quality. Journal of Antimicrobial Chemotherapy, 72, 564-573. https://doi.org/10.1093/jac/dkw446</mixed-citation></ref><ref id="scirp.89947-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Chem, E.D., Anong, D.N., Jane-Francis, K.T., et al. (2018) Prescribing Patterns and Associated Factors of Antibiotic Prescription in Primary Health Care Facilities of Kumbo East and Kumbo West Health Districts, North West Cameroon. PLoS ONE, 13, e0193353. https://doi.org/10.1371/journal.pone.0193353</mixed-citation></ref><ref id="scirp.89947-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">McClean, P., Tunney, M., Gilpin, D., et al. (2012) Antimicrobial Prescribing in Residential Homes. Journal of Antimicrobial Chemotherapy, 67, 1781-1790. https://doi.org/10.1093/jac/dks085</mixed-citation></ref><ref id="scirp.89947-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Prah, J., Kizzie-Hayford, J., Walker, E., et al. (2017) Antibiotic Prescription Pattern in a Ghanaian Primary Health Care Facility. Pan African Medical Journal, 28, 214. https://doi.org/10.11604/pamj.2017.28.214.13940</mixed-citation></ref><ref id="scirp.89947-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Diarra, K.F. (2007) Prescription, dispensation et disponibilité des antibiotiques à la pharmacie hospitalière du CHU du Point-G. Thèse de Pharmacie, Université de Bamako, Mali. http://www.keneya.net/fmpos/theses/2006/pharma/pdf/06P47.pdf</mixed-citation></ref><ref id="scirp.89947-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Steinman, M.A., Landerfield, C.S. and Gonzales, R. (2003) Predictors of Broad-Spectrum Antibiotic Prescribing for Acute Respiratory Tract Infections in Adult Primary Care. JAMA, 289, 719-725. https://doi.org/10.1001/jama.289.6.719</mixed-citation></ref><ref id="scirp.89947-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Bharathiraja, R., Sivakumar, S., Chelliah, L., et al. (2005) Factor’s Affecting Antibiotic Prescribing Pattern in Pediatric Practice. The Indian Journal of Pediatrics, 72, 1-5. https://doi.org/10.1007/BF02731121</mixed-citation></ref><ref id="scirp.89947-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Huang, A.M., Newton, D. and Kunapuli, A. (2005) Antimicrobial Stewardship Team Intervention in Adult Patients with Bacteremia and Candidemia. Clinical Infectious Diseases, 57, 1237-1245. https://doi.org/10.1093/cid/cit498</mixed-citation></ref><ref id="scirp.89947-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Akkerman, A., Kuyvenhoven, M., Van der Wouden, J., et al. (2005) Prescribing Antibiotics for Respiratory Tract Infections by GPs: Management and Prescriber Characteristics. British Journal of General Practice, 55, 114-118.</mixed-citation></ref><ref id="scirp.89947-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Cadieux, G., Tamblyn, R., Dauphinee, D., et al. (2007) Predictors of Inappropriate Prescribing among Primary Care Physicians. CMAJ, 177, 877-883. https://doi.org/10.1503/cmaj.070151</mixed-citation></ref><ref id="scirp.89947-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Charan, N., Chandra, D.S., Adiveni, T., et al. (2013) A Prospective Study: Factors Affecting Antibiotic Prescribing Pattern in Surgery Wards in RMMCH. Journal of Biomedical and Pharmaceutical Research, 2, 71-73.</mixed-citation></ref><ref id="scirp.89947-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Kotwani, A., Wattal, C., Katewa, S., et al. (2010) Factors Influencing Primary Care Physicians to Prescribe Antibiotics in India. Family Practice, 27, 684-690. https://doi.org/10.1093/fampra/cmq059</mixed-citation></ref><ref id="scirp.89947-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Dekker, A.R., Verheij, T.J. and Velden, A.W. (2015) Inappropriate Antibiotic Prescription for Respiratory Tract Indications: Most Prominent in Adult Patients. Family Practice, 32, 401-407. https://doi.org/10.1093/fampra/cmv019</mixed-citation></ref><ref id="scirp.89947-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Ritabul Salami, M.R., Hassali, M.A., Alrasheedy, A.A., et al. (2015) Physicians’ Knowledge, Perceptions, and Behaviour towards Antibiotic Prescribing: A Systematic Review of the Literature. Expert Review of Anti-Infective Therapy, 13, 665-680. https://doi.org/10.1586/14787210.2015.1025057</mixed-citation></ref><ref id="scirp.89947-ref33"><label>33</label><mixed-citation publication-type="other" xlink:type="simple">Erah, P.O., Olumide, G.O. and Okhamafe, A.O. (2003) Prescribing Practices in Two Health Care Facilities in Warri, Southern Nigeria: A Comparative Study. Tropical Journal of Pharmaceutical Research, 2, 175-182. https://doi.org/10.4314/tjpr.v2i1.14583</mixed-citation></ref><ref id="scirp.89947-ref34"><label>34</label><mixed-citation publication-type="other" xlink:type="simple">World Health Organization (2001) WHO Global Strategy for Containment of Antimicrobial Resistance. WHO, Geneva.</mixed-citation></ref><ref id="scirp.89947-ref35"><label>35</label><mixed-citation publication-type="other" xlink:type="simple">Radyowijati, A. and Haak, H. (2003) Improving Antibiotic Use in Low-Income Countries: An Overview of Evidence on Determinants. Social Science &amp; Medicine, 57, 733-744. https://doi.org/10.1016/S0277-9536(02)00422-7</mixed-citation></ref><ref id="scirp.89947-ref36"><label>36</label><mixed-citation publication-type="other" xlink:type="simple">Kliemann, B.S., Levin, A.S., Moura, M.L., et al. (2016) Socioeconomic Determinants of Antibiotic Consumption in the State of S&amp;#227;o Paulo, Brazil: The Effect of Restricting Over-the-Counter Sales. PLoS ONE, 11, e0167885. https://doi.org/10.1371/journal.pone.0167885</mixed-citation></ref><ref id="scirp.89947-ref37"><label>37</label><mixed-citation publication-type="other" xlink:type="simple">Van Boeckel, T.P., Gandra, S., Ashok, A., et al. (2014) Global Antibiotic Consumption 2000 to 2010: An Analysis of National Pharmaceutical Sales Data. The Lancet Infectious Diseases, 14, 742-750. https://doi.org/10.1016/S1473-3099(14)70780-7</mixed-citation></ref><ref id="scirp.89947-ref38"><label>38</label><mixed-citation publication-type="other" xlink:type="simple">Potchoo, Y., Redah, D. and Guissou, I.P. (2009) Etude de la qualité de la prescription des médicaments au Togo: Résultats d’une enquête en milieu urbain à Lomé. Journal de la Recherche Scientifique de l’Université de Lomé, Série D, 11, 123-128.</mixed-citation></ref><ref id="scirp.89947-ref39"><label>39</label><mixed-citation publication-type="other" xlink:type="simple">Fofana, S., Sanogo, Z., Kaboré, L., et al. (2016) Regulatory Compliance of Medical Prescriptions in Bobo-Dioulasso, Burkina Faso. Indian Journal of Medical Research and Pharmaceutical Sciences, 3, 2349-5340.</mixed-citation></ref><ref id="scirp.89947-ref40"><label>40</label><mixed-citation publication-type="other" xlink:type="simple">Bontemps, H., Fauconnier, J., Bosson, J.L., et al. (1997) évaluation de la qualité de la prescription des médicaments dans un CHU. Journal of Clinical Pharmacy, 16, 49-53.</mixed-citation></ref><ref id="scirp.89947-ref41"><label>41</label><mixed-citation publication-type="other" xlink:type="simple">Bertrand, D., Labarere, J. and Fran&amp;#231;ois, P. (1999) Efficacité d’un programme d’amélioration des prescriptions médicamenteuses et des comptes-rendus d’hospitalisation dans un h&amp;#244;pital universitaire. Santé Publique, 11, 343-555.</mixed-citation></ref><ref id="scirp.89947-ref42"><label>42</label><mixed-citation publication-type="other" xlink:type="simple">Ruchet, L. (2010) Evaluation de la qualité des ordonnances communautaires provenant de l’h&amp;#244;pital de l’enfance de Lausanne. Ma&amp;#238;trise universitaire en pharmacie. Université de Lausanne, 50 p.</mixed-citation></ref><ref id="scirp.89947-ref43"><label>43</label><mixed-citation publication-type="other" xlink:type="simple">El Bara (2013) Etude de la conformité des prescriptions et de la délivrance des médicaments au niveau de 25 officines de la ville de Nouakchott. Mémoire de santé publique. Université de Nouakchott, 78 p.</mixed-citation></ref><ref id="scirp.89947-ref44"><label>44</label><mixed-citation publication-type="other" xlink:type="simple">Shahaibi, N., Said, L., Kini, T., et al. (2012) Identifying Errors in Hand Written Outpatient Prescriptions in Oman. Journal of Young Pharmacists, 4, 267-272. https://doi.org/10.4103/0975-1483.104371</mixed-citation></ref><ref id="scirp.89947-ref45"><label>45</label><mixed-citation publication-type="other" xlink:type="simple">Bohand, X., Simon, L., Perrier, E., et al. (2009) Frequency, Types, and Potential Clinical Significance of Medication-Dispensing Errors. Clinics, 64, 11-16. https://doi.org/10.1590/S1807-59322009000100003</mixed-citation></ref><ref id="scirp.89947-ref46"><label>46</label><mixed-citation publication-type="other" xlink:type="simple">Lesar, T. (2006) Medication Prescribing Errors Involving the Route of Administration. Hospital Pharmacy, 41, 1053-1066. https://doi.org/10.1310/hpj4111-1053</mixed-citation></ref><ref id="scirp.89947-ref47"><label>47</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Jasim</surname><given-names> A. </given-names></name>,<etal>et al</etal>. (<year>2014</year>)<article-title>Parental Self-Medication of Antibiotics for Children in Baghdad City</article-title><source> International Journal of Pharmacy and Pharmaceutical Sciences</source><volume> 6</volume>,<fpage> 485</fpage>-<lpage>489</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.89947-ref48"><label>48</label><mixed-citation publication-type="other" xlink:type="simple">Musey, K.L., Akafomo, K., Beuscart, C., et al. (1990) Autocontr&amp;#244;le de l’antibiothérapie. Evaluation d’un système de suivi informatisé. Médecine et Maladies Infectieuses, 20, 25-32. https://doi.org/10.1016/S0399-077X(05)81020-0</mixed-citation></ref><ref id="scirp.89947-ref49"><label>49</label><mixed-citation publication-type="other" xlink:type="simple">Coulibaly, Y., Konate, A., Kone, D., et al. (2014) étude de la prescription des antibiotiques en milieu hospitalier malien. Revue Malienne d’Infectiologie et de Microbiologie, No. 3, 2-8.</mixed-citation></ref><ref id="scirp.89947-ref50"><label>50</label><mixed-citation publication-type="other" xlink:type="simple">Mbonye, A.K., Buregyeya, E., Rutebemberwa, E., et al. (2016) Prescription for Antibiotics at Drug Shops and Strategies to Improve Quality of Care and Patient Safety: A Cross-Sectional Survey in the Private Sector in Uganda. BMJ Open, 6, e010632. https://doi.org/10.1136/bmjopen-2015-010632</mixed-citation></ref></ref-list></back></article>