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Examining characteristics, knowledge and regulatory practices of specialized drug shops in Sub-Saharan Africa: a systematic review of the literature

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Abstract

Background

Specialized drug shops such as pharmacies and drug shops are increasingly becoming important sources of treatment. However, knowledge on their regulatory performance is scarce. We set out to systematically review literature on the characteristics, knowledge and practices of specialized drug shops in Sub-Saharan Africa.

Methods

We searched PubMed, EMBASE, WEB of Science, CAB Abstracts, PsycINFO and websites for organizations that support medicine policies and usage. We also conducted open searches using Google Scholar, and searched manually through references of retrieved articles. Our search included studies of all designs that described characteristics, knowledge and practices of specialized drug shops. Information was abstracted on authors, publication year, country and location, study design, sample size, outcomes investigated, and primary findings using a uniform checklist. Finally, we conducted a structured narrative synthesis of the main findings.

Results

We obtained 61 studies, mostly from Eastern Africa, majority of which were conducted between 2006 and 2011. Outcome measures were heterogeneous and included knowledge, characteristics, and dispensing and regulatory practices. Shop location and client demand were found to strongly influence dispensing practices. Whereas shops located in urban and affluent areas were more likely to provide correct treatments, those in rural areas provided credit facilities more readily. However, the latter also charged higher prices for medicines. A vast majority of shops simply sold whatever medicines clients requested, with little history taking and counseling. Most shops also stocked popular medicines at the expense of policy recommended treatments. Treatment policies were poorly communicated overall, which partly explained why staff had poor knowledge on key aspects of treatment such as medicine dosage and side effects. Overall, very little is known on the link between regulatory enforcement and practices of specialized drug shops.

Conclusions

Evidence suggests that characteristics and practices of specialized drug shops differ across rural and urban locations, and that these providers are highly responsive to client demand. However, there is a dearth in knowledge on how regulatory enforcement influences their characteristics and practices, and what strategies can be employed to strengthen the governance of the retail pharmaceutical sector.

Background

Private medicine retailers (PMRs) are fast becoming key players in promoting access to medicines in low and middle-income countries [14]. Previously viewed largely as informal providers operating at the fringes of legitimacy, PMRs have gained prominence in the recent past, with recent global initiatives such as the Affordable Medicines Facility for malaria (AMFm) exploring ways of utilizing them as a vehicle for expanding coverage for essential health services. The rising interest in retailers has resulted in increased frequency of interventions targeting their performance [5, 6]. In Sub-Saharan Africa (SSA), PMRs include shops that specialize in selling medicines, and those licensed to sell a limited range of pre-packaged medicines alongside groceries and other household items. The term specialized drug shops (SDSs) denotes the former category; the latter is commonly referred to in the literature as general shops [2, 6]. Specialized drug shops primarily include pharmacies; legally recognized non-pharmacy drug shops (part II drug shops); unregistered drug shops; and community-owned drug shops [6]. The typology was discussed in a previous review [6].

Like other providers, SDSs are subject to regulations stipulating the minimum requirements for entry into the business and quality of care. However, widespread regulatory infringement has been reported [2, 711]. Reviews have previously examined consumer behavior [1] and interventions for improving services provided by retailers [1, 6, 12]. However, no review has described regulatory practices of SDSs, despite the fact that this is the group of PMRs most often seen as an integral part of the formal health system, particularly where strategies such as the AMFm are concerned. This is the main purpose of the review.

Methods

Original studies of all designs that described knowledge, characteristics, and practices of stand-alone SDSs in SSA were included. These included independent primary studies, evaluations conducted by non-governmental organizations, and reports commissioned by development partners. Reviews and opinion pieces were excluded, as were studies on pharmacies operating within health facilities, those looking at drug content, and those that failed to specify whether study units were SDSs or general shops. Finally, the review timeline was restricted to 20 years (1989–2009, later expanded to include studies published in 2010 and January 2011). The time cap was added to ensure the capture of studies reporting relatively recent SDS experiences.

A search strategy that combines population and geographical location search terms was then developed and applied to PubMed, EMBASE, CAB Abstracts and PsycINFO (Table 1). We searched websites for the International Network for the Rational Use of Drugs (INRUD), e-Drug, WHO Essential Medicines and Management Sciences for Health, for project reports and references to articles that may have some relevance. Additionally, we conducted cited-reference searches in the Web of Science database to identify studies citing other relevant studies, and did open Google Scholar searches using the terms outlined in Table 1. Finally, references of retrieved articles were searched manually for other relevant studies, and all references imported into an EndNote X library. Duplicated articles were removed from the library.

Table 1 Search terms used in searching electronic databases

A total of 5,608 articles were identified (Figure 1) (Last search: 11th February 2011), and screened separately by 2 reviewers (FW and EM) using the inclusion criteria outlined above. Articles that did not meet the requirements were removed from the list. Where there was lack of clarity, the 2 reviewers (FW and EM) discussed the article’s content, and made a joint decision on whether or not it should be included. At the end of the process, 62 articles were retrieved and included in the review. Information was abstracted on author, year of publication, country and location (rural or urban), study design and sample size, outcomes investigated, and the key findings (Table 2). For intervention studies, baseline values - rather than post-intervention data - were abstracted, with the underlying thought that pre-intervention values were a better reflection of typical SDS practices within the respective regions. Similarly, data was abstracted from the control group in post-hoc evaluations. The studies were heterogeneous in terms of outcomes reported, thus rendering a meta-analysis of results inappropriate. Consequently, a structured narrative synthesis was undertaken.

Figure 1
figure1

Summary of the literature searching and reviewing processes.

Table 2 Summary of study characteristics and findings

Results

A vast majority of the studies were descriptive cross-sectional surveys. Studies from the Eastern African region contributed more than half of all studies reviewed (Figure 2), with Tanzania alone having 17 studies. Nigeria had the highest number in West Africa, with 13 studies. The Southern and Central African regions had few studies overall. More studies were conducted in rural/peri-urban areas compared to urban locations (42 compared to 34), with a few studies including both locations. A pattern showing an increase in the number of studies over recent years emerged, with nearly two-thirds of the studies reviewed being conducted over the last 5 year band (2006–2011) (Figure 3). Studies reported a wide range of outcomes including dispensing practices (41 studies), availability of medicines [13], staff knowledge [14], staff and/or shop characteristics [15], and adherence to policy guidelines or regulatory requirements (16 studies) (Figure 4).

Figure 2
figure2

Distribution of studies by geographical location.

Figure 3
figure3

Distribution of studies across different time periods.

Figure 4
figure4

Distribution of the main outcomes reported.

Characteristics of staff, commodities stocked, and shops

A wide variety of SDSs were encountered, including pharmacies and non-pharmacy outlets. Non-pharmacy SDSs included accredited drug dispensing outlets (ADDOs) and the older part II drug stores (also referred to as ‘duka la dawa baridi’ in Swahili) in Tanzania, licensed chemical sellers (LCSs) in Ghana, patent medicine vendors (PMVs) in Nigeria, rural drug vendors in Eritrea, and drug shops in Uganda among others. Pharmacies were found mainly in urban areas, with the non-pharmacy SDSs operating more in rural areas [1619]. Specialized drug shops were more likely to be found in affluent and highly populated areas overall. In Tanzania and Eritrea, for instance, a positive correlation was reported between the number of medicine outlets and village or town size [20, 21]. As distribution of health facilities follows similar patterns, there is danger of low density areas having neither a health facility nor an SDS; indeed, half of ADDOs in Tanzania were located less than one kilometer from a health facility [22].

Shop ownership varied across studies, but rural SDSs were more likely to have owners or relatives working as staff, whereas urban shops had a higher likelihood of having employees. This phenomenon, seen in Kenya and Nigeria [9, 23, 24], may explain Greer et al’s observation of relatively low staff turnover among rural PMVs in Nigeria, where over half of staff had worked at the same shop for over 4 years [25]. Although staff qualification varied substantially, those working in pharmacies and part II drug shops generally held higher qualifications compared to those working in PMVs. In Kenyan pharmacies for instance, nearly all staff were found to have tertiary health-related training [24]; similarly, nearly all staff working in Tanzanian part II drug stores and Ugandan drug shops were reported to have some health-related training [11, 26, 27]. The majority of staff were nurse aides. In Nigeria on the other hand, PMVs were found employing children under the legally mandated age for dispensing (21 years), most being school going children [9, 28]. However, pharmacies in some areas were also guilty of hiring staff with no qualifications after obtaining registration; in Mali, for instance, majority of individuals dispensing in pharmacies were found to have no professional qualifications [15]. Although pharmacies usually require pharmacy-trained staff, Somaliland was a notable exception; there, medical doctors and nurses were allowed to run pharmacies due to an acute shortage of pharmaceutical staff [29].

SDSs were well stocked overall, although urban pharmacies were generally better stocked compared to their rural counterparts. In Somaliland for instance, urban and rural pharmacies had 70% and 40% of specified essential medicines respectively [29]. Drug shops were found to have good availability of a narrower range of medicines, usually fever and malaria drugs [20, 30]. However, good availability did not always mean good geographical access to recommended treatments. This was particularly seen in the case of antimalarials, where the more widely available drugs were not the recommended first-line treatments. This trend was seen in Kenya, Uganda, Tanzania, Madagascar, Nigeria, Zambia, Somalia and the Central African Republic [13, 14, 3139]. In Tanzania, pharmacies were more likely to stock non-recommended antimalarials if they were located near health facilities that stocked the recommended drugs [40]. Drug expiry was a problem in some areas but not others. In Uganda, nearly half of the shops reported cases of drugs expiring, whereas only one case was observed in Somaliland [17, 29]. Generic substitution was rarely done; in South Africa for instance, only 14% of pharmacists substituted branded drugs, despite the fact that nearly half of prescribed medicines had generic equivalents [41].

Knowledge and perceptions

Staff knowledge was assessed at two broad levels; knowledge specific to treatment, and knowledge on wider aspects of practice such as treatment policies. Knowledge on drug specific aspects was found to vary substantially, although certain patterns were consistent across studies. Majority of staff knew what drugs to give for tracer conditions, but had less knowledge on appropriate dosing. This was seen in Tanzania [7, 26, 27, 4244], Uganda [25, 45], Eritrea [21], and Nigeria [31, 46]. Misconceptions were also reported: for instance, most South African pharmacists erroneously believed that emergency contraceptive pills (ECPs) posed health risks if used repeatedly [47], majority of Nigerian PMVs believed fever medicines could cure malaria on their own [48], and that white colored medicines were less efficacious overall [49], and nearly one-fifth of Tanzanian drug sellers thought that antibiotics could cure viral infections [50]. Where pharmacies and non-pharmacy SDSs were compared, the former performed better overall. In Ghana for instance, three quarters of pharmacy staff knew symptoms of complicated malaria compared to 43% for LCSs [51]. A few studies went further and compared knowledge to practice. In Nigeria, 70% of pharmacies and PMVs knew oral rehydration therapy (ORT) to be the treatment of choice for diarrhea and yet a vast majority sold antidiarrhoeals and antibiotics instead [52], whereas only 10% of Eritrean rural drug vendors gave correct diarrhea treatment, despite the fact that 63% knew the correct treatment [21]. Similarly, amodiaquine and quinine were sold as much as sulphur medicines in Tanzanian drug stores, despite staff knowing that only the latter was recommended for uncomplicated malaria at the time [26]. Discordances between knowledge and practice extended beyond treatment; in another Tanzanian study for instance, only a few ADDOs advised malaria clients to sleep under an ITN, despite the majority knowing about the effectiveness of bednets as a preventive strategy [22]. Similarly, although 55% of Nigerian pharmacies knew about pharmacovigilance, only one fifth of pharmacies had actually made an attempt to report an ADR to relevant authorities [53]. Knowledge on broader policy issues was good overall, with all PMVs in a Nigerian survey knowing about prescription-only medicine status [28], and majority of Tanzanian drug stores being aware that they were only allowed to sell certain medicine categories, although there was considerable confusion on which malaria medicines fell in this category [54]. There were rural-urban differences in knowledge on policy issues in Somaliland, with rural pharmacies being less aware of the difference between prescription and non-prescription drugs, and rationale behind restricting the former [29].

Dispensing practices

Dispensing practices were grouped into three categories; treatment practices, communication, and client referral. Most studies touched on more than one category, with some exploring associations between dispensing practices and factors such as shop location, staff qualification, and client characteristics (age, sex, level of education and familiarity to the attendant).

Studies assessing treatment practices looked at a wide range of factors, including drug selection, adherence to treatment protocols and dispensing without prescription. The degree to which SDSs adhered to treatment guidelines was varied but low overall. Adherence to national guidelines when managing STI clients was low in Kenya (27% adherence) [55], Ghana (20-23%) [56, 57], and Uganda (8-14%) [16, 25]. Inappropriate dispensing was also observed for diarrhoea in Kenya [58], Tanzania [43, 59], Nigeria [9, 52] and Sudan [60]. However, good performers were also noted; in Tanzania for instance, 80 - 90% of drug stores dispense drugs recommended in national guidelines for STIs, although the authors noted the irony in the fact that the shops were not allowed to stock the medicines in the first place [27]. It appeared that some respondents were not completely honest in their responses, possibly because they knew that they were engaged in unlawful behavior. In another Tanzanian study for instance, three-quarters of drug stores reported not having medicines for sexually transmitted infections (STIs) in stock, and yet these drugs were dispensed to 63% and 78% of female and male mystery shoppers respectively [27].

Like treatment practices, communication with clients gave mixed results. Shops were more likely to communicate basic medication instructions after selling medicines than take patient history before treatment, or offer advice on alternative management strategies. Basic advice and treatment instructions (how and when to take medicines) were given in Ghanaian pharmacies (89% of clients), and Tanzanian drug stores and ADDOs (89 and 93% respectively) [22, 27, 61], but rarely done in Kenyan pharmacies (17%) and Nigerian PMVs (10-13%) [9, 55]. More technical aspects such as side effects and contra-indications were rarely discussed among drug stores in Tanzania and PMVs in Nigeria [22, 27, 48]. Clients who requested specific drugs, or those who failed to disclose the purpose of purchasing medicines were less likely to receive advice in Nigeria and Uganda [16, 62]. Pharmacies on the other hand performed relatively well in counseling, with nearly two-thirds of South African pharmacies discussing prevention of pregnancy with contraception clients [47], and majority of Ghanaian and Kenyan pharmacies counseling STI clients on the importance of partner treatment (81 and 84% respectively) [55, 61]. Pharmacies also offered more privacy during counseling, as seen in Zimbabwe, Kenya and Somaliland [29, 63, 64]. In Ghana, three quarters of pharmacies had designated counseling areas compared to 19% of LCSs [65]. Patient history taking was observed to be poorly done in a number of studies. This was seen in Ghana, Nigeria and Sudan [9, 56, 60]. Nigerian PMVs were more likely to ask questions about illness if the shop was located in a rural setting, if the attending staff was the owner, or if the client was buying the drug for another person [62].

Majority of staff interviewed in Ethiopia, Tanzania, Somaliland, Nigeria and Ghana expressed willingness to refer clients when necessary [26, 29, 48, 61, 66]. However, actual referral practices were rarely investigated, and where this was done, the practice was scarcely reported. In Nigeria and Uganda for instance, nearly all staff failed to refer clients when required [11, 62]. What made referral particularly hard to assess was poor record keeping, an observation made in Ugandan and Tanzanian drug stores, as well as Ghanaian LCSs [22, 65, 67]. Pharmacies kept better records , although it was not clear whether this included referral records [65].

So, what factors influence dispensing behavior among SDSs? A number of studies explored determinants of SDS practices across different countries. In Nigeria, 3 separate studies found demand to be an important influence, with 40% of pharmacists and 62-69% of PMVs selling medicines at the request of clients [48, 62, 68]. Similarly, Ugandan and Tanzanian drug shops sold whichever medicines clients requested [11, 43, 69], whereas in Kenya and Somaliland, demand was reported to influence pharmacies’ choice of medicines to stock [24, 29]. Another important determinant of dispensing practices was shop location, with shops situated in urban and affluent areas providing better services overall. This was seen in Zimbabwe and Kenya for instance. In Zimbabwe, pharmacies located in the capital had a higher likelihood of dispensing correct STI treatments, whereas clients visiting pharmacies located in urban or affluent areas were more likely to receive appropriate treatment in Kenya [58, 64]. Additionally, shops located near towns, those operating close to other shops, and shops situated in more populous areas were found to have a higher likelihood of stocking the first line antimalarial treatments in Tanzania, meaning individuals staying within such localities had better geographical access to policy recommended treatments [40]. The same study also found shops operating in remote areas to have a higher likelihood of selling antipyretics in place of antimalarials for fever (the policy at the time was to treat all fevers as malaria cases in high transmission areas). Shop location was associated with medicine prices and credit facilities. In Tanzania, ADDOs operating in more rural areas were found to have higher mark-ups compared to those in urban locations [42], whereas medicines prices were higher in pharmacies operating in more affluent parts of Mozambique’s capital [19]. In Somaliland, four-fifths of rural pharmacies offered credit facilities compared to only half in urban locations [29]. Prices also varied with shop type, with non-pharmacy drug shops having lower prices compared to pharmacies in Nigeria, Uganda, Benin and Zambia [14, 31, 33, 70]. Regulation of retail mark-ups was only encountered in Mali and Mozambique [19, 71, 72]. Age and sex of client also had some association with dispensing, with women receiving correct diarrhoea treatment more often than men in Kenya, and drug shops expressing higher willingness to sell medicines for sick adults than infants in Tanzania [26, 58]. Finally, familiarity with the clients influenced dispensing in Zimbabwe, where one-fifth of pharmacy staff admitted they could sell an antibiotic to an acquaintance without asking for a prescription [64].

Regulatory and policy issues

Regulatory practices were rarely reported overall. Frequency of regulatory visits varied across countries, with only a third of PMVs in Nigeria reporting visits over the last 2 years in contrast to drug stores in Tanzania, majority of whom had received visits over the last year [28, 54]. Low frequency of regulatory inspection was blamed for poor regulatory compliance among pharmacies in Zaire (now the Democratic Republic of Congo), where 87% of drugs were sold without prescription [8]. The sale of unregistered medicines was fairly common in Kenya and Ghana. In Kenya for instance, only 5 out of 12 brands of amodiaquine syrup were registered by the regulatory authority [35], whereas 6-29% of pharmacies and 11-23% of LCSs were found selling various brands of unregistered antimalarials in Ghana [73]. In Tanzania, different patterns were observed across different shop cadres; whereas 19 of 30 drug stores were found stocking unregistered antimalarial imports, nearly all pharmacies were reported to only stock registered malaria medicines [54, 74]. Other forms of regulatory infringement included providing clinical management without authorization in Uganda, and failure to display practice permits in Tanzania [54, 75]. Drug policy issues were poorly communicated in Tanzania overall, with three-quarters of dispensers reporting that they heard about malaria treatment policy changes over the radio and other news media [7]. This may partly explain the high availability of unrecommended treatments such as artemisinin monotherapies in Tanzanian pharmacies and drug stores [74, 76].

Discussion

The role of SDSs in public health has expanded over recent years, resulting in an overall increase in studies looking at various dimensions of their characteristics and performance, and ways of improving their impact. A recent increase in studies on the topic was demonstrated in the review, with nearly two thirds coming over the last five years. The surge can be explained in part by the fact that the Tanzanian authorities allowed upgrading of part II drug stores into ADDOs, thus resulting in the relatively high number of studies seen from Tanzania.

Majority of studies came from Anglophone countries, possibly due to any one of two reasons; a weakness in the search strategy, or an overall lack of interest in SDSs by the biomedical communities in Francophone countries. Similar concerns have been expressed in previous reviews in SSA [2, 6]. Majority of studies were cross-sectional descriptive surveys employing provider questionnaires and/or simulated clients for data collection. Simulated client surveys have gained popularity over recent years because of the ability to minimize bias [77, 78]. Studies included in the review were highly heterogeneous, reporting a wide range of outcomes including characteristics of staff and shops, knowledge, and reported and observed practices. This made it impossible to pool estimates or assess overall patterns using any quantitative methods. As a result, a structured narrative synthesis was undertaken to describe the findings from the studies. However, unlike the more rigorous meta-analysis approach, the narrative synthesis approach gives each study equal weight, regardless of sample size and methodological rigour. Consequently, the risk of bias can be expected to be higher in this type of review, thus calling for a higher degree of caution when interpreting findings. In an attempt to minimize this, we placed more emphasis on discussing patterns that emerged across a number of studies and/countries.

Overall, the presence of SDSs correlated positively with population density, with majority operating either in urban areas, or rural areas with larger populations. Incidentally, these also happen to be areas with better health facility networks [79, 80]. As far as prices are concerned, no consistent patterns were observed across the countries. In some areas like Tanzania, ADDOs operating in rural areas reportedly charged higher prices for medicines in some areas, presumably to cater for transport costs and compensate for low business activity (although higher competition may also explain lower prices in urban locations). On the other hand, non-pharmacy drug shops (usually found more in rural locations) were reported to charge lower prices compared to the more urban location-linked pharmacies across a number of countries. This observation may reflect a number of factors, including higher purchasing power among the urban clientele, and higher operational costs in the usually larger urban shops. More research needs to explore reasons behind price variations, and find interventions that may reduce such disparities. This is particularly important in the context of the roll-out of Global Fund supported AMFm program, where prices are expected to be standard across all subsidized artemisinin combination therapies (ACTs) [81, 82].

Two outcomes with important policy implications are staff turnover and qualifications. Overall, low staff turnover can be expected to maximize benefits of introducing interventions such as training. Evidence points at relatively low staff turnover, particularly among drug shops and PMVs. It is not clear why this is the case, although low capital base has been cited previously as one possible reason [2]. Another possibility stems from the fact that the lower cadre shops are more often manned by owners compared to pharmacies. Of greater concern perhaps, is the issue of unqualified staff serving clients, even where SDSs carry registration certificates from qualified persons. Although reported across all shop cadres, this behaviour was particularly dire among PMVs, some of whom went as far as employing school going children to dispense medicines. Creation of lower practice levels such as part II drug shops and allowing non-pharmaceutical personnel to run SDSs are viewed as policy responses to low numbers of pharmacists; thus meant to ensure better access to medicines and health information. However, the success of the strategy rides on the expectation that license holders (usually people with some health-related training) be available at the premises at all times. The question is; what happens to the quality of care when lower-level providers delegate dispensing responsibilities further? Reliable information on characteristics of staff manning SDSs is vital if policymakers are to make informed decisions on what roles these providers should play. Regrettably though, this knowledge remains inadequate, a view expressed in a previous review on a related subject [2].

Staff knowledge was fairly good on areas such as drug selection, but relatively poor on the more technical aspects such as drug dosages and side-effects, particularly among non-pharmacy drug shops. This is understandable, considering such shops are usually licensed to only sell pre-packaged medicines. However, the role of non-pharmacy SDSs has been gradually expanding over recent years, with Tanzania for instance, relicensing part II drug stores into ADDOs, and granting the accredited shops permission to sell a wider range of medicines. This trend is likely to spread to other areas, particularly following the roll out of the AMFm programme. If the role of SDSs is to be bumped up without compromising quality, comprehensive training approaches are vital. This will ensure misconceptions about medicines are addressed (see for instance, Rutebemberwa et al on how auditory pain, a side-effects of quinine, was perceived to be an indicator of how strong the drug was in Uganda, and Dodoo et al on how fear of side-effects of amodiaquine made clients prefer artemisinin monotherapy over amodiaquine-containing ACTs in Ghana) [83, 84]. The observation that practice did not always reflect knowledge suggests that factors beyond staff awareness are equally important in influencing practices. Unfortunately, interventions for improving the quality of services provided by SDS almost always entail training and related strategies only [5, 6]. More studies need to describe other factors, and how interventions can be designed to achieve the highest quality. Goel et al, for instance, identified client demand/expectations, physician practice and local regulatory factors as potential determinants of pharmacy staff behaviour [85]. In this review, demand was found to strongly influence drug selection and dispensing. This can be inferred as resulting from market forces, and presents a unique opportunity for policy drivers to influence SDS behaviour through manipulating the demand side preferences. This can be achieved using mass media campaigns targeting perverse community behaviours such as taking incomplete doses of antibiotics. The idea of manipulating preferences to influence private sector behaviour has been reported to be effective in some settings [1].

Shop location was associated with several practices, with clients visiting pharmacies in larger towns or affluent areas receiving better care compared to those in smaller towns or poorer areas. This may have resulted because individuals living in poorer areas had less knowledge on drugs (thus more likely to buy wrong medicines), or it could be an indication of skewed distribution of trained staff in favour of urban and affluent areas. However, such disparities may also occur if staff in urban and affluent areas get more continuous medical training opportunities overall. The observation that rural shops offered credit more readily may reflect better familiarity with the clients, or lower purchasing power overall. This nonetheless points at differences in the nature of relationships between SDSs and clients across the two locations, thus underscoring the value of recognizing rural-urban differences when designing interventions to improve practice.

The high willingness to refer clients reported in some studies is encouraging, although actual referral practices were rarely ascertained in practice. Willingness to refer clients where required presents an opportunity for collaborative partnerships between SDS and health facilities. A similar arrangement formed the basis of a considerably successful programme aimed at improving community management of TB in Bolivia [86]. Such partnerships may also expand the role of SDSs towards preventive services, thus addressing concerns that retailers over provide curative commodities at the expense of advising and counselling clients on broader aspects of health [29].

Few studies looked at regulatory factors overall. Where this was done, the frequency of regulatory visits and severity of sanctions were linked to regulatory compliance, with lower frequency and less severe sanctions being blamed for poor compliance. However, little has been done to examine the exact relationship between regulatory enforcement and SDS performance overall, an observation also made nearly a decade and a half ago [85]. Concerns over evidence gaps on effectiveness of regulation have been expressed in a previous review on SDSs [6]. Finally, proper knowledge is required on the retail sector, particularly considering their growing role in public health. Furthermore, public health interventions appear to be increasingly looking beyond the traditionally legitimated categorization of providers, recognizing instead the blurred boundaries between informal and formal providers, and the fluid nature of line separating legitimate and illegitimate practitioners [87]. As lower levels of practice become increasingly embraced, information on performance and determinants of SDS practices is required to inform policy on allocating appropriate roles and designing interventions to improve their practice.

Conclusion

Characteristics and practices of SDSs vary across countries and shop cadres. Overall, it appears that the practice of unqualified staff manning shops is common, even where shops carry legitimate licenses. Although the design of pharmacies allowed for better communication with clients, this was rarely done overall. Non-pharmacy drug shop premises were generally more basic in structure. Differences in the structure and location of SDSs should be considered when designing policy interventions aimed at expanding their roles. Similarly, regulations should be responsive to differences in the size, location and nature of business of pharmacies and non-pharmacy drug shops. Whereas majority of staff performed had basic knowledge on drug choice, knowledge on more technical, but equally useful aspects such as side-effects was generally poor, particularly among non-pharmacy shops. As this is likely to be a result of non-qualified staff manning SDSs, more innovative ways of implementing regulatory enforcement need to be developed. With regard to dispensing practices, evidence points at client demand as an important influence, meaning it would be difficult to influence dispensing practices without involving certain aspects of public awareness. Strategies for manipulating demand-side preferences such as social marketing and targeted subsidies could generate additional benefit if included as part of interventions for improving dispensing practices of SDS.

References

  1. 1.

    Brieger W, Unwin A, Greer G, Meek S: Interventions to improve the role of medicine sellers in Malaria Case Management for Children in Africa. 2005, The Malaria Consortium and BASICS for the United States Agency for International Development; prepared for Roll Back Malaria's Sub-group for Communication and Training and Malaria Case Management Working Group, London, UK & Arlington, VA, USA

  2. 2.

    Goodman C, Brieger W, Unwin A, Mills A, Meek S, Greer G: Medicine sellers and malaria treatment in sub-Saharan Africa: what do they do and how can their practice be improved?. Am J Trop Med Hyg. 2007, 77 (6 Suppl): 203-218.

  3. 3.

    Hanson K, Berman P: Private health care provision in developing countries: a preliminary analysis of levels and composition. Health Policy Plan. 1998, 13 (3): 195-211. 10.1093/heapol/13.3.195.

  4. 4.

    WHO: Task shifting to tackle health worker shortages. 2007, World Health Organization, HIV/AIDS Programme.

  5. 5.

    Smith F: The quality of private pharmacy services in low and middle-income countries: a systematic review. Pharm World Sci. 2009, 31 (3): 351-361. 10.1007/s11096-009-9294-z.

  6. 6.

    Wafula FN, Goodman CA: Are interventions for improving the quality of services provided by specialized drug shops effective in sub-Saharan Africa? A systematic review of the literature. Int J Qual Health Care. 2010, 22 (4): 316-323. 10.1093/intqhc/mzq022.

  7. 7.

    Minzi OM, Haule AF: Poor knowledge on new malaria treatment guidelines among drug dispensers in private pharmacies in Tanzania: the need for involving the private sector in policy preparations and implementation. East Afr J Public Health. 2008, 5 (2): 117-121.

  8. 8.

    Ntambwe M, Luwombo I, Djurna O: Who sells drugs in rural Zaire?. World Health Forum. 1994, 15 (1): 62-63.

  9. 9.

    Ojuawo A, Oyaniyi OT: Treatment of diarrhoea by proprietary-medicine vendors. Niger J Paediatr. 1993, 20 (2): 41-44.

  10. 10.

    Trostle J: Inappropriate distribution of medicines by professionals in developing countries. Soc Sci Med. 1996, 42 (8): 1117-1120. 10.1016/0277-9536(95)00384-3.

  11. 11.

    Tumwikirize WA, Ekwaru PJ, Mohammed K, Ogwal-Okeng JW, Aupont O, Suppl: Management of acute respiratory infections in drug shops and private pharmacies in Uganda: a study of counter attendants' knowledge and reported behaviour. East Afr Med J. 2004, : S33-S40.

  12. 12.

    Smith F: Private local pharmacies in low- and middle-income countries: a review of interventions to enhance their role in public health. Trop Med Int Health. 2009, 14 (3): 362-372. 10.1111/j.1365-3156.2009.02232.x.

  13. 13.

    Sabot OJ, Mwita A, Cohen JM, Ipuge Y, Gordon M, Bishop D, et al: Piloting the global subsidy: the impact of subsidized artemisinin-based combination therapies distributed through private drug shops in rural Tanzania. PLoS One. 2009, 4 (9): e6857-10.1371/journal.pone.0006857.

  14. 14.

    ACTwatch Group: Outlet Survey Report (Baseline). 2008, , Zambia, www.actwatch.info/results.

  15. 15.

    Maiga FI, Haddad S, Fournier P, Gauvin L: Public and private sector responses to essential drugs policies: a multilevel analysis of drug prescription and selling practices in Mali. Soc Sci Med. 2003, 57 (5): 937-948. 10.1016/S0277-9536(02)00462-8.

  16. 16.

    Jacobs B, Whitworth J, Kambugu F, Pool R: Sexually transmitted disease management in Uganda's private-for-profit formal and informal sector and compliance with treatment. Sex Transm Dis. 2004, 31 (11): 650-654. 10.1097/01.olq.0000143087.08185.17.

  17. 17.

    Nakyanzi JK, Kitutu FE, Oria H, Kamba PF: Expiry of medicines in supply outlets in Uganda. Bull World Health Organ. 2010, 88 (2): 154-158. 10.2471/BLT.08.057471.

  18. 18.

    Palafox B, Patouillard E, Tougher S, Goodman C, Hanson K: The private commercial sector distribution chain for antimalarial drugs in Nigeria: Findings from a rapid survey. 2009, ACT watch & London School of Hygiene and Tropical Medicine.

  19. 19.

    Russo G, McPake B: Medicine prices in urban Mozambique: a public health and economic study of pharmaceutical markets and price determinants in low-income settings. Health Policy Plan. 2010, 25 (1): 70-84. 10.1093/heapol/czp042.

  20. 20.

    Hetzel MW, Msechu JJ, Goodman C, Lengeler C, Obrist B, Kachur SP, et al: Decreased availability of antimalarials in the private sector following the policy change from chloroquine to sulphadoxine-pyrimethamine in the Kilombero Valley, Tanzania. Malar J. 2006, 5: 109-10.1186/1475-2875-5-109.

  21. 21.

    Murray J, Asgedom M, Kifleyesus B, Orobaton N: Rural Drug Vendors in Eritrea: A study of practices and Training Needs. 1998, Published for USAID by Basic Support for Institutionalizing Child Survival (BASICS) Project, Arlington, VA

  22. 22.

    RPM Plus, Rational Pharmaceutical Management (RPM) Plus Program, Centre for Enhancement of Effective Malaria Interventions (CEEMI) and Basic Support for Institutionalizing Child Survival (BASICS): Improving Child Health through the Accredited Drug Dispensing Outlet Program: Baseline Survey from Five Districts in Tanzania, September 2006. 2006, Submitted to the U.S. Agency for International Development by BASICS and RPM Plus/MSH, Arlington, VA

  23. 23.

    Fayemi MM, Oduola OL, Ogbuji QC, Osinowo KA, Oyewo AE, Osiberu OM: The knowledge of emergency contraception and dispensing practices of Patent Medicine Vendors in South West Nigeria. J Public Health Policy. 2010, 31 (3): 281-294. 10.1057/jphp.2010.14.

  24. 24.

    Kwena Z, Sharma A, Wamae N, Muga C, Bukusi E: Provider characteristics among staff providing care to sexually transmitted infection self-medicating patients in retail pharmacies in Kibera slum, Nairobi, Kenya. Sex Transm Dis. 2008, 35 (5): 480-483. 10.1097/OLQ.0b013e3181644b84.

  25. 25.

    Greer G, Akinpelumi A, Madueke L, Plowman B, Fapohunda B, Tawfik Y, et al: Improving Management of Childhood Malaria in Nigeria and Uganda by Improving Practices of Patent Medicine Vendors. 2004, BASICS II for the United States Agency for International Development, Arlington, Va

  26. 26.

    Hetzel MW, Dillip A, Lengeler C, Obrist B, Msechu JJ, Makemba AM, et al: Malaria treatment in the retail sector: knowledge and practices of drug sellers in rural Tanzania. BMC Public Health. 2008, 8: 157-10.1186/1471-2458-8-157.

  27. 27.

    Viberg N, Mujinja P, Kalala W, Kumaranayake L, Vyas S, Tomson G, et al: STI management in Tanzanian private drugstores: practices and roles of drug sellers. Sex Transm Infect. 2009, 85 (4): 300-307. 10.1136/sti.2008.032888.

  28. 28.

    Adikwu MU: Sales practices of patent medicine sellers in Nigeria. Health Policy Plan. 1996, 11 (2): 202-205. 10.1093/heapol/11.2.202.

  29. 29.

    Mazzilli C, Ahmed R, Davis A: The Private Sector and Health: A survey of Somaliland private pharmacies: UNICEF Somalia. 2009, The European Union, Somaliland Pharmaceutical Association

  30. 30.

    Goodman CA: An Economic Analysis of the Retail Market for Fever and Malaria Treatment in Rural Tanzania: PhD Thesis. 2004, Department of Public Health and Policy, London School of Hygiene and Tropical Medicine, University of London

  31. 31.

    ACTwatch Group: Outlet Survey Report (Baseline), Nigeria. 2008, , , www.actwatch.info/results.

  32. 32.

    ACTwatch Group: Outlet Survey Report (Baseline). 2008, The Democratic Republic of the Congo, , www.actwatch.info/results.

  33. 33.

    ACTwatch Group: Outlet Survey Report (Baseline). 2008, , Uganda, www.actwatch.info/results.

  34. 34.

    ACTwatch Group: Outlet Survey Report (Baseline). 2008, , Madagascar, www.actwatch.info/results.

  35. 35.

    Amin AA, Snow RW: Brands, costs and registration status of antimalarial drugs in the Kenyan retail sector. Malar J. 2005, 4 (1): 36-10.1186/1475-2875-4-36.

  36. 36.

    Manirakiza A, Njuimo SP, Le Faou A, Malvy D, Millet P: Availability of antimalarial drugs and evaluation of the attitude and practices for the treatment of uncomplicated malaria in bangui, central african republic. J Trop Med. 2010, 2010: 510834.

  37. 37.

    Noor AM, Rage IA, Moonen B, Snow RW: Health service providers in Somalia: their readiness to provide malaria case-management. Malar J. 2009, 8: 100-10.1186/1475-2875-8-100.

  38. 38.

    Onwujekwe O, Obikeze E, Uzochukwu B, Okoronkwo I, Onwujekwe OC: Improving quality of malaria treatment services: assessing inequities in consumers' perceptions and providers' behaviour in Nigeria. Int J Equity Health. 2010, 9: 22-10.1186/1475-9276-9-22.

  39. 39.

    van den Boogaard J, Semvua HH, Boeree MJ, Aarnoutse RE, Kibiki GS: Sale of fluoroquinolones in northern Tanzania: a potential threat for fluoroquinolone use in tuberculosis treatment. J Antimicrob Chemother. 2010, 65 (1): 145-147. 10.1093/jac/dkp413.

  40. 40.

    Cohen JM, Sabot O, Sabot K, Gordon M, Gross I, Bishop D, et al: A pharmacy too far? Equity and spatial distribution of outcomes in the delivery of subsidized artemisinin-based combination therapies through private drug shops. BMC Health Serv Res. 2010, 10 (Suppl 1): S6-10.1186/1472-6963-10-S1-S6.

  41. 41.

    Karim SS, Pillai G, Ziqubu-Page TT, Cassimjee MH, Morar MS: Potential savings from generic prescribing and generic substitution in South Africa. Health Policy Plan. 1996, 11 (2): 198-205. 10.1093/heapol/11.2.198.

  42. 42.

    Health Research for Action: Review of the Accredited Drug Dispensing Outlets (ADDO) Roll out Programme in Tanzania. 2006, Report by Health Research for Action (HERA).

  43. 43.

    Kagashe GA, Minzi O, Matowe L: An assessment of dispensing practices in private pharmacies in Dar-es-Salaam, Tanzania. Int J Pharm Pract. 2011, 19 (1): 30-35. 10.1111/j.2042-7174.2010.00075.x.

  44. 44.

    Massele AY, Sayi J, Nsimba SE, Ofori-Adjei D, Laing RO: Knowledge and management of malaria in Dar es Salaam, Tanzania. East Afr Med J. 1993, 70 (10): 639-642.

  45. 45.

    Nshakira N, Kristensen M, Ssali F, Whyte SR: Appropriate treatment of malaria? Use of antimalarial drugs for children's fevers in district medical units, drug shops and homes in eastern Uganda. Trop Med Int Health. 2002, 7 (4): 309-316. 10.1046/j.1365-3156.2002.00858.x.

  46. 46.

    Oshiname FO, Brieger WR: Primary care training for patent medicine vendors in rural Nigeria. Soc Sci Med. 1992, 35 (12): 1477-1484. 10.1016/0277-9536(92)90050-Z.

  47. 47.

    Blanchard K, Harrison T, Sello M: Pharmacists' knowledge and perceptions of emergency contraceptive pills in Soweto and the Johannesburg Central Business District, South Africa. Int Fam Plan Perspect. 2005, 31 (4): 172-178. 10.1363/3117205.

  48. 48.

    Okeke TA, Uzochukwu BS, Okafor HU: An in-depth study of patent medicine sellers' perspectives on malaria in a rural Nigerian community. Malar J. 2006, 5: 97-10.1186/1475-2875-5-97.

  49. 49.

    Brieger WR, Salami KK, Oshiname FO: Perceptions of drug color among drug sellers and consumers in rural southwestern Nigeria. Res Social Adm Pharm. 2007, 3 (3): 303-319. 10.1016/j.sapharm.2006.10.004.

  50. 50.

    Viberg N, Kalala W, Mujinja P, Tomson G, Lundborg CS: "Practical knowledge" and perceptions of antibiotics and antibiotic resistance among drugsellers in Tanzanian private drugstores. BMC Infect Dis. 2010, 10: 270-10.1186/1471-2334-10-270.

  51. 51.

    Buabeng KO, Matowe LK, Smith F, Duwiejua M, Enlund H: Knowledge of medicine outlets' staff and their practices for prevention and management of malaria in Ghana. Pharm World Sci. 2010, 32 (4): 424-431. 10.1007/s11096-010-9397-6.

  52. 52.

    Igun UA: Reported and actual prescription of oral rehydration therapy for childhood diarrhoeas by retail pharmacists in Nigeria. Soc Sci Med. 1994, 39 (6): 797-806. 10.1016/0277-9536(94)90041-8.

  53. 53.

    Oreagba IA, Ogunleye OJ, Olayemi SO: The knowledge, perceptions and practice of pharmacovigilance amongst community pharmacists in Lagos state, south west Nigeria. Pharmacoepidemiol Drug Saf. 2010, 20 (1): 30-35.

  54. 54.

    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. 2007, 22 (6): 393-403. 10.1093/heapol/czm033.

  55. 55.

    Kwena ZA, Sharma A, Muga C, Wamae N, Bukusi EA: Management of simulated patients with sexually transmitted infections by staff of retail pharmacies in Kibera slums of Nairobi. East Afr Med J. 2008, 85 (9): 419-424.

  56. 56.

    Adu-Sarkodie Y, Steiner MJ, Attafuah J, Tweedy K: Syndromic management of urethral discharge in Ghanaian pharmacies. Sex Transm Infect. 2000, 76 (6): 439-442. 10.1136/sti.76.6.439.

  57. 57.

    Buabeng KO, Duwiejua M, Dodoo AN, Matowe LK, Enlund H: Self-reported use of anti-malarial drugs and health facility management of malaria in Ghana. Malar J. 2007, 6: 85-10.1186/1475-2875-6-85.

  58. 58.

    Goel PK, Ross-Degnan D, McLaughlin TJ, Soumerai SB: Influence of location and staff knowledge on quality of retail pharmacy prescribing for childhood diarrhea in Kenya. Int J Qual Health Care. 1996, 8 (6): 519-526. 10.1093/intqhc/8.6.519.

  59. 59.

    Nsimba SE: Assessing the performance, practices and roles of drug sellers/dispensers and mothers'/guardians' behaviour for common childhood conditions in Kibaha district, Tanzania. Trop Doct. 2007, 37 (4): 197-201. 10.1258/004947507782333099.

  60. 60.

    Berih AA, McIntyre L, Lynk AD: Pharmacy dispensing practices for Sudanese children with diarrhoea. Public Health. 1989, 103 (6): 455-458. 10.1016/S0033-3506(89)80056-3.

  61. 61.

    Mayhew S, Nzambi K, Pepin J, Adjei S: Pharmacists' role in managing sexually transmitted infections: policy issues and options for Ghana. Health Policy Plan. 2001, 16 (2): 152-160. 10.1093/heapol/16.2.152.

  62. 62.

    Brieger WR, Osamor PE, Salami KK, Oladepo O, Otusanya SA: Interactions between patent medicine vendors and customers in urban and rural Nigeria. Health Policy Plan. 2004, 19 (3): 177-182. 10.1093/heapol/czh021.

  63. 63.

    Liambila W, Obare F, Keesbury J: Can private pharmacy providers offer comprehensive reproductive health services to users of emergency contraceptives? Evidence from Nairobi, Kenya. Patient Educ Couns. 2010, 81 (3): 368-373. 10.1016/j.pec.2010.09.001.

  64. 64.

    Nyazema N, Viberg N, Khoza S, Vyas S, Kumaranayake L, Tomson G, et al: Low sale of antibiotics without prescription: a cross-sectional study in Zimbabwean private pharmacies. J Antimicrob Chemother. 2007, 59 (4): 718-726. 10.1093/jac/dkm013.

  65. 65.

    Buabeng KO: The Role of the Pharmaceutical Sector in Malaria Control in Ghana: Doctoral dissertation. 2010, Publications of the University of Eastern Finland, Dissertations in Health Sciences.

  66. 66.

    Abula T, Worku A, Thomas K: Assessment of the dispensing practices of drug retail outlets in selected towns, north west Ethiopia. Ethiop Med J. 2006, 44 (2): 145-150.

  67. 67.

    Mbonye AK, Ndyomugyenyi R, Turinde A, Magnussen P, Clarke S, Chandler C: The feasibility of introducing rapid diagnostic tests for malaria in drug shops in Uganda. Malar J. 2010, 9 (367): 367.

  68. 68.

    Adisa R, Fakeye T: Assessment of the Knowledge of Community Pharmacists Regarding Common Phytopharmaceuticals Sold in South Western Nigeria. Tropical Journal of Pharmaceutical Research. 2006, 5 (2): 619-625.

  69. 69.

    Kachur SP, Schulden J, Goodman C, Kassala H, Elling BF, Khatib RA, et al: Prevalence of malaria parasitemia among clients seeking treatment for fever or malaria at drug stores in rural Tanzania 2004. Trop Med & Int Health. 2006, 11 (4): 441-451. 10.1111/j.1365-3156.2006.01588.x.

  70. 70.

    ACTwatch Group: Outlet Survey Report (Baseline). 2008, , Benin, www.actwatch.info/results.

  71. 71.

    Maiga D, Maiga S, Maiga MD: Mechanism and implication of regulation of the pricing of essential medicines in the private pharmaceutical sector in Mali. Med Trop. 2010, 70 (2): 184-188.

  72. 72.

    Maiga D, Williams-Jones B: Assessment of the impact of market regulation in Mali on the price of essential medicines provided through the private sector. Health Policy. 2010, 97 (2–3): 130-135.

  73. 73.

    Buabeng K, Duwiejua M, Matowe L, Smith F, Enlund H: Availability and Choice of Antimalarials at Medicine Outlets in Ghana: The Question of Access to Effective Medicines for Malaria Control. Clin Pharmacol Ther. 2008, : .

  74. 74.

    Kachur SP, Black C, Abdulla S, Goodman C: Putting the genie back in the bottle? Availability and presentation of oral artemisinin compounds at retail pharmacies in urban Dar-es-Salaam. Malar J. 2006, 5: 25-10.1186/1475-2875-5-25.

  75. 75.

    Tawfik Y, Nsungwa-Sabitii J, Greer G, Owor J, Kesande R, Prysor-Jones S: Negotiating improved case management of childhood illness with formal and informal private practitioners in Uganda. Trop Med Int Health. 2006, 11 (6): 967-73. 10.1111/j.1365-3156.2006.01622.x.

  76. 76.

    Alba S, Hetzel MW, Goodman C, Dillip A, Liana J, Mshinda H, et al: Improvements in access to malaria treatment in Tanzania after switch to artemisinin combination therapy and the introduction of accredited drug dispensing outlets - a provider perspective. Malar J. 2010, 9: 164-10.1186/1475-2875-9-164.

  77. 77.

    Madden JM, Quick JD, Ross-Degnan D, Kafle KK: Undercover careseekers: simulated clients in the study of health provider behavior in developing countries. Soc Sci Med. 1997, 45 (10): 1465-82. 10.1016/S0277-9536(97)00076-2.

  78. 78.

    Watson M, Norris P, AG: A systematic review of the use of simulated patients and pharmacy practice research. International Journal of Pharmacy Practice. 2006, 14: 83-93. 10.1211/ijpp.14.2.0002.

  79. 79.

    Chuma J, Gilson L, Molyneux C: Treatment-seeking behaviour, cost burdens and coping strategies among rural and urban households in Coastal Kenya: an equity analysis. Trop Med Int Health. 2007, 12 (5): 673-86. 10.1111/j.1365-3156.2007.01825.x.

  80. 80.

    Molyneux CS, Mung'Ala-Odera V, Harpham T, Snow RW: Maternal responses to childhood fevers: a comparison of rural and urban residents in coastal Kenya. Trop Med Int Health. 1999, 4 (12): 836-45. 10.1046/j.1365-3156.1999.00489.x.

  81. 81.

    Laxminarayan R, Gelband H: A global subsidy: key to affordable drugs for malaria?. Health Aff (Millwood). 2009, 28 (4): 949-61. 10.1377/hlthaff.28.4.949.

  82. 82.

    MoH/CCM: Affordable Medicines Facility - Malaria (AMFm) Phase I. 2009, Country Coordinating Mechanism, Kenya Application

  83. 83.

    Dodoo AN, Fogg C, Asiimwe A, Nartey ET, Kodua A, Tenkorang O, et al: Pattern of drug utilization for treatment of uncomplicated malaria in urban Ghana following national treatment policy change to artemisinin-ombination therapy. Malar J. 2009, 8: 2-10.1186/1475-2875-8-2.

  84. 84.

    Rutebemberwa E, Nsabagasani X, Pariyo G, Tomson G, Peterson S, Kallander K: Use of drugs, perceived drug efficacy and preferred providers for febrile children: implications for home management of fever. Malar J. 2009, 8: 131-10.1186/1475-2875-8-131.

  85. 85.

    Goel P, Ross-Degnan D, Berman P, Soumerai S: Retail pharmacies in developing countries: a behavior and intervention framework. Soc Sci Med. 1996, 42 (8): 1155-61. 10.1016/0277-9536(95)00388-6.

  86. 86.

    Lambert ML, Delgado R, Michaux G, Vols A, Speybroeck N, Van der Stuyft P: Collaboration between private pharmacies and national tuberculosis programme: an intervention in Bolivia. Trop Med Int Health. 2005, 10 (3): 246-50. 10.1111/j.1365-3156.2004.01383.x.

  87. 87.

    Cross J, MacGregor HN: Knowledge, legitimacy and economic practice in informal markets for medicine: A critical review of research. Soc Sci Med. 2010, 71: 1593-600. 10.1016/j.socscimed.2010.07.040.

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Funding

This work was made possible through a fellowship grant from the Wellcome Trust to the first author (grant number #083078/Z/07/Z). All three authors are affiliated with the KEMRI/Wellcome Trust Research Programme, which is funded by the Wellcome Trust (UK).

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Correspondence to Francis N Wafula.

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FW and EM conducted the literature searches and screening. All three authors participated in retrieving articles, conducting the review, and drafting of the manuscript. All authors read and approved the final manuscript.

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Keywords

  • Malaria
  • Artemisinin
  • Amodiaquine
  • Affluent Area
  • Drug Shop