Abstract
Background
Rapid diagnostics tests for malaria (RDT) have become established as a practical solution to the challenges of parasitological confirmation of malaria before treatment in the public sector. However, little is known of their impact in private health sector facilities, such as pharmacies and drug shops. This study aimed to assess the incidence of malaria among unwell patients seeking anti-malarial treatment in two community pharmacies in Nigeria and measure the impact RDTs have on anti-malarial sales.
Methods
This was a comparison study of two pharmacies located in the suburbs of Gwagwalada, in the Federal Capital Territory of Nigeria, between May and July 2012. In the intervention arm, patients seeking to purchase anti-malarials had an RDT performed before treatment while the control pharmacy continued normal routine practice.
Results
A total of 1,226 participants were enrolled into the study. The incidence of malaria in the intervention arm (n = 619) was 13.6% and adolescent participants had a statistically significant higher incidence (26.0%) compared to adults (11.9%) (P = 0.001). A history of fever in the last 48 hours was associated with a statistically significant higher incidence of malaria (28.3%) (P < 0.001). Having a RDT test reduced the chance of purchasing an anti-malarial by 42% (95% CI: 38%-46%) compared to not having a test. 51.6% (276) of the study participants with a RDT negative result still purchased anti-malarials, especially if anti-malarials had been recommended by a health professional (58.9%) compared to self-referral (44.2%) (P = 0.001). Patients with RDT negative results were also more likely to purchase an anti-malarial if there was a reported malaria positive laboratory test prior to presentation (66.2%; P = 0.007), a history of fever in the last 48 hours (60.5%; P = 0.027), and primary school education or less (69.4%; P = 0.009). After adjusting for age group and gender differences, having at least a secondary school education reduced the chance of buying an anti-malarial (OR 0.504 (95% CI: 0.256-0.993)) compared to having primary education or lower.
Conclusion
The study highlights the enormous potential for improving appropriate prescription of anti-malarials in pharmacies and preventing unnecessary use of artemisinin combination therapy (ACT).
Keywords: Rapid diagnostic test (RDT), Anti-malarial, Malaria, Pharmacy
Background
Malaria has been a global public health problem for more than a century, claiming the lives of millions each year and reducing the quality of life of many others, especially in sub-Saharan Africa (SSA), where it still remains a serious concern [1]. The declining morbidity and mortality from malaria [2-10] raises concerns about the rationale for presumptive management of malaria. Despite its questionable economic value, presumptive management of malaria is still common in SSA. Many patients are inappropriately treated with anti-malarials with no improvement, exposure to unnecessary potential side effects and missed opportunities to treat the real cause of fever [11,12]. However, prompt parasitological confirmation of malaria before treatment is unrealistic in many settings because expert laboratory diagnostic services are scarce or unavailable. The provision of cheap and accurate rapid point of care tests, that require little skill, is therefore appealing. In 2011, the World Health Organization (WHO) expanded their guidelines for the management of uncomplicated malaria to specifically include the use of rapid diagnostic tests (RDTs) for confirmation of malaria before treatment. Despite this, the use of RDTs remains disappointingly low in public health sector facilities in most malaria endemic countries [1]. Several studies also show that RDT use itself may or may not influence a change in the anti-malarial prescription behaviour of doctors and other health workers [13-17], but little is known about RDT use in private health sector facilities - even though the private sector manages a substantial burden of presumed malaria in SSA.
The WHO Global Malaria initiative in March 2012 launched the “T3 initiative” to reaffirm the importance of RDTs in malaria control. This initiative includes: testing all suspected cases; treating these cases with ACT; and tracking (monitoring) malaria control programmes. It aims to help policy makers and donors recognize the importance of scaling up diagnostic testing services (especially RDT) to match the funding that is already available for ACT. Studies are needed in private health sector facilities such as pharmacies and drug shops, to build upon existing evidence that demonstrates the value of RDTs in malaria control. This study examined the impact of the introduction of RDTs upon sales of anti-malarials in a community pharmacy in Gwagwalada, Nigeria, to assess the incidence of malaria among adolescents and adults who are unwell and seeking treatment for malaria and to determine the factors that influenced prescription of anti-malarials when the malaria RDT was negative.
Methods
Study area
The study was conducted in the suburbs of Gwagwalada area council, one of six area councils in the Federal Capital Territory of Nigeria, a region reported to be holo-endemic and perennial for malaria as at the time of the study [18], but now regarded as meso-endemic in an unpublished report by the National Malaria Control Programme (NMCP) [19]. ITN coverage and use are reportedly low among the population and malaria accounts for 52% of all inpatient and outpatient visits. Although the council is covered by a wide variety of government and privately owned health facilities, the health worker to patient ratio is still very low (1: 11335) [20]. Health services at these facilities are not free and the national anti-malarial treatment policy of Nigeria does not exclude the sale of anti-malarials without a doctors’ prescription. Thus, anti-malarials are easily accessible in the free market, especially in pharmacies. The national malaria treatment policy, since 2004, includes the use of artemether-lumefantrine and artemether-amodiaquine as first and second line treatment of uncomplicated malaria respectively [21]. However, the use of anti-malarials as monotherapies is still common.
Study design and sampling strategy
The study was a comparison between two pharmacies. Pharmacies with an average of at least 23 anti-malarial sales per day in the council area were identified from a list of eligible pharmacies obtained from the Association of Community Pharmacists of Nigeria. Pharmacies were approached to see if they would be willing to participate in the study. Two community pharmacies were chosen at random from the list of pharmacies willing to participate. An initial study was undertaken to determine the common symptoms of uncomplicated malaria that prompted patients who were unwell to seek anti-malarial treatment and to identify the routine prescription practice in both pharmacies, checking sales records to ensure that baseline average number of anti-malarial sales per day for both pharmacies were similar. The initial study also determined that anti-malarial prescription practice, the availability of different class of anti-malarials and their cost were similar in both pharmacies. The intervention pharmacy was then chosen at random and provided with RDTs: the control continued with its routine community pharmacy practice.
Participants were eligible if they had symptoms of uncomplicated malaria and were at least ten years of age or older. Patients were assessed by the study nurse and excluded from the study if they had symptoms of severe malaria or were pregnant. Severe malaria was considered as those with symptoms of malaria and pallor, extreme weakness and inability to walk, or an inability to tolerate oral medications. Female adult patients were excluded if they said they were pregnant, if their last menstrual period was more than 35 days prior to date of interview or if they could not remember the date of their last menstrual period.
In the intervention pharmacy, participants gave written consent after the study had been explained to them. Participants presenting to the intervention pharmacy (either with a malaria prescription or those seeking to buy anti-malarials for self-medication) with symptoms of uncomplicated malaria were tested using RDTs and shown the results before drugs were dispensed. The results were also revealed to the pharmacist. In the case of an RDT negative result, a decision to suspend anti-malarial treatment was made following further discussion between the pharmacist and the patient. The investigator was not involved in the decision.
An indicative sample size for the study was calculated assuming that the number of anti-malarial sales per day in both pharmacies (prior to the intervention) followed a statistical Poisson distribution with mean 23. Assuming 35 days of observation (during which time 1,610 patients were expected to participate) and no change in the sales rate in the control pharmacy, the study had 90% power to detect a reduction in the average daily number of anti-malarial sales in the intervention pharmacy from 23 to 19.2 (a 16% reduction).
Rapid tests were conducted using SD BIOLINE Malaria Antigen Pf (Lot Number: 082112, REF 05FK50, Manufacture date: 18-07-2011, Expiry date: 17-07-2013) by the study nurse. The kit is included in the WHO/Global Fund list of quality assured RDTs worldwide [22]. The tests were carried out in accordance to the instructions in the manufacturers’ manual. Standard universal precautions were observed. A positive result was indicated when there were two colour bands (Pf test line and C test line) within the result window. The presence of one colour band (C test line) and no colour band indicated a negative or an invalid result respectively. The test kit detects HRP-II antigen of Plasmodium falciparum and is reported to be very stable at temperatures up to 40°C. The sensitivity and specificity of the kit were reported by the manufacturers as 99.7% and 99.5% respectively. Quality assurance tests were carried out on the batch of kits used by the Liverpool School of Tropical Medicine (LSTM) laboratory by testing 25 samples of the RDTs with known positive and negative malaria samples (confirmed by expert microscopy), replicating field conditions as much as possible. The kits showed 100% sensitivity and specificity.
Data was collected using Epi-Info version 7 and analysed using SPSS version 20. The incidence of malaria was calculated for all participants and for specific sub groups of particular interest and presented as percentages. The risk factors for malaria were analysed by multivariate analysis first and then by multivariate linear regression analysis for statistical significance, adjusting for age group and gender differences in the population. The statistical significance level for this study was set at 5%. To determine the impact of RDTs on anti-malarial sales, a cross tabulation of anti-malarial sales between the two study arms was analysed for risk estimates with 95% Confidence Intervals (95% CI). The risk difference in sales was calculated by calculating risk ratios and testing it statistically with Chi-squared tests. To determine the effect of each variable on anti-malarial sale, a multivariate analysis comparing anti-malarial sales and each variable was tested for statistical significance using Chi-squared tests. All the variables that were statistically significant were then adjusted for age group and gender differences by including them into a multivariate linear regression model through a generalized linear model. The adjusted odds ratios obtained were interpreted with a 95% CI.
Ethical approval was granted by the National Health Research Ethics Committee of Nigeria (NHREC) and the LSTM Research Ethics Committee.
Results
12 of the 20 registered pharmacies in the area council were initially approached to participate in the study. Five pharmacies declined participation for fear of their records being published, while three pharmacies were excluded because they did not have sufficient daily anti-malarial sales to reach the intended sample size for the stipulated period of the study. Figure 1 shows a summary of the number and disposition of the pharmacies at each stage of selection.
The study took place between May and July 2012. A total of 1226 participants aged 10-78 years (mean age of 30.847, 51.7% females and 88.7% adults) were enrolled into the study. A large proportion of the study participants (90.4%) had at least a secondary education while 60.5% of the study population had a below average monthly income. A detailed summary of the baseline characteristics of participants in the study is shown in Table 1.
Table 1.
Control pharmacy |
Intervention pharmacy |
Total (n = 1226) frequency/mean difference (95% CI) | P value | |
---|---|---|---|---|
n = 607 | n = 619 | |||
Gender |
|
|
|
|
-Female |
328 (54.0%) |
306 (49.4%) |
634 (51.7%) |
0.107 |
-Male |
279 (46.0%) |
313 (50.6%) |
592 (48.3%) |
|
Age (years) |
30.12 (10.23) |
31.55 (11.46) |
1.42 (0.20-2.64) |
0.022 |
Age group |
|
|
|
|
-Adolescent |
65 (10.7%) |
73 (11.8%) |
138 (11.3%) |
0.548 |
-Adult |
542 (89.3%) |
546 (88.2%) |
1088 (88.7%) |
|
Level of education (whole population) |
|
|
|
|
-Primary or less |
61 (10%) |
57 (9.2%) |
118 (9.6%) |
0.618 |
-At least secondary |
546 (90%) |
562 (90.8%) |
1108 (90.4%) |
|
Level of income |
|
|
|
|
-Less than average income |
372 (61.3%) |
370 (60.5%) |
742 (60.5%) |
0.588 |
-Average income or more |
235 (38.7%) |
249 (40.2%) |
484 (39.5%) |
|
Reported last treatment for malaria |
|
|
|
|
-Less than 6 months ago |
381 (62.8%) |
386 (62.4%) |
767 (62.6%) |
0.882 |
-More than 6 months ago |
226 (37.2%) |
233 (37.6%) |
459 (37.4%) |
|
Who recommended anti-malarial |
|
|
|
|
-Self |
255 (42.0%) |
303 (48.9%) |
558 (45.5%) |
0.015 |
-Health professional |
352 (58.0%) |
316 (51.1%) |
668 (54.5%) |
|
Participants with a doctor’s prescription prior to purchase of anti-malarial |
169 (27.8%) |
52 (8.4%)) |
221 (18.0%) |
< 0.001 |
Reported positive lab test prior to purchase of anti-malarial |
103 (17.0%) |
96 (15.5%) |
199 (16.2%) |
0.488 |
History of fever in the last 48 hours | 394 (64.9%) | 166 (26.8%) | 560 (45.7%) | < 0.001 |
Incidence and risk factors for malaria
All 619 patients enrolled in the intervention arm were tested for malaria with RDTs and shown the results before an anti-malarial was dispensed. The incidence of malaria in the intervention arm was 13.6%. Adolescent participants had a statistically significant higher incidence (26.0%) compared to adults (11.9%) (P = 0.001). Table 2 summarizes the incidence of malaria in the different sub-study groups analysed. A history of fever in the last 48 hours (26.8% of the test population) was associated with a statistically significant higher incidence of malaria (28.3%) (P < 0.001) and 47.1% of adolescents with a history of fever in the last 48 hours had malaria. Only 22.9% of participants with a reported recent positive lab test for malaria at another clinic had malaria on RDT testing. There was no significant difference between the incidence of malaria in the sub-population of participants who either self-recommended malaria treatment (12.5%), or got a recommendation from a health professional (14.6%).
Table 2.
Sub-population | Incidence (%) | Total number of participants tested within sub-population (% distribution within the total population) |
---|---|---|
Gender |
|
|
Female |
11.4 |
306 (49.0%) |
Male |
15.7 |
313 (51.0%) |
Age group |
|
|
Adolescent |
26.0 |
73 (11.8%) |
Adult |
11.9 |
546 (88.2%) |
Level of education (adults) |
|
|
Primary education or less |
11.8 |
34 (33.5%) |
Secondary education or more |
11.9 |
512 (66.5%) |
Level of income (adults) |
|
|
Less than average |
10.8 |
297 (59.8%) |
Greater than average |
13.3 |
249 (40.2%) |
Who recommended anti-malarial? |
|
|
Self |
12.5 |
303 (49.0%) |
Health professional | 14.6 | 316 (51.0%) |
Table 3 shows the results of a multivariate regression model that examined risk factors for malaria in the study population. Adults were much less likely to have malaria than adolescents (OR 0.514 (95% CI: (0.280-0.946) and malaria was much more common if there was a history of fever in the last 48 hours (OR 4.027 (95% CI: 2.482-6.352)).
Table 3.
Risk factors for malaria |
Odds ratio |
Adjusted odds ratio |
---|---|---|
(95% CI) |
(95% CI) |
|
P value | P value | |
Adult age group |
0.384 (0.214-0.688) |
0.514 (0.280-0.946) |
0.001 |
0.033 |
|
Reported positive lab test prior to presentation |
2.221 (1.282-3.812) |
2.177 (1.208-3.925) |
0.004 |
0.010 |
|
A history of fever in the last 48 hours |
4.441 (2.757-7.151) |
4.027 (2.482-6.532) |
< 0.001 |
< 0.001 |
|
Reported last treatment for malaria (more than 6 months ago) | 1.611 (1.014-2.560) |
1.627 (1.002-2.640) |
0.042 | 0.049 |
Effect of RDT upon anti-malarial sales
An anti-malarial was only dispensed to 360 (59.2%) of the participants in the intervention pharmacy compared to 607 (100%) of the participants in the control arm. Having an RDT test reduced the chance of purchasing an anti-malarial by 42% (95% CI: 38%-46%) compared to not having a test. Figure 2 shows the daily anti-malarial sales for each pharmacy before and during the study. 51.6% (276) of the study participants with an RDT negative result still purchased anti-malarials. Patients were more inclined to purchase an anti-malarial, even though RDT result was negative, if it had been recommended by a health professional (58.9%) compared to self-referral (44.2%) (P = 0.001). Patients with RDT negative results were also more likely to purchase an anti-malarial if there was a reported malaria positive lab test prior to presentation (66.2%; P = 0.007), a history of fever in the last 48 hours (60.5%; P = 0.027), and primary school education or less (69.4%; P = 0.009).
A multivariate analysis (Table 4), showed that after adjusting for age group and gender differences, having at least a secondary school education reduced the chance of buying an anti-malarial (OR 0.504 (95% CI: 0.256-0.993)) compared to having primary education or lower. Having an anti-malarial recommended to the patient by a health professional and reporting a previous positive lab result prior to presentation significantly increased the chance of an anti-malarial sale. The prescription rates of different anti-malarial drugs and their disposition within both study arms and sub-groups in the intervention pharmacy are provided in Figure 3 and Table 5.
Table 4.
Risk factors for anti-malarial sale | Odds ratio intervention (RDT negatives only) (95% CI) P value | Adjusted odds ratio (RDT negatives only) (95% CI) P value |
---|---|---|
Average income or more |
0.658 (0.465-0.931) |
0.687 (0.468-1.007) |
0.018 |
0.054 |
|
At least secondary education |
0.438 (0.232-0.824) |
0.504 (0.256-0.993) |
0.009 |
0.048 |
|
Reported positive lab test prior to presentation |
2.020 (1.207-3.382) |
1.737 (1.007-2.996) |
0.007 |
0.047 |
|
Reported last treatment for malaria (more than 6 months ago) |
0.782 (0.549-1.114) |
0.714 (0.494-1.032) |
0.173 |
0.073 |
|
Anti-malarial recommended by a health professional |
1.812 (1.286-2.553) |
1.617 (1.134-2.305) |
0.001 |
0.008 |
|
A history of fever in the last 48 hours | 1.592 (1.051-2.410) |
1.440 (0.934-2.218) |
0.027 | 0.098 |
Table 5.
Antimalarial dispensed | Intervention pharmacy (frequency and % antimalarials within study arm) n = 360 | Control pharmacy (frequency and % antimalarials within study arm) n = 607 |
---|---|---|
Artemether-Lumefantrine |
180 |
337 |
(50.0%) |
(55.5%) |
|
Artesunate-Amodiaquine |
42 |
47 |
(11.7%) |
(7.7%) |
|
Dihydroartemisinin-Piperaquine |
30 |
33 |
(8.3%) |
(5.4%) |
|
Artesunate-Sulfadoxine-Pyrimethamine |
8 |
12 |
(2.2%) |
(2.0%) |
|
ACT (total) |
260 |
429 |
(72.2%) |
(70.6%) |
|
Sulfadoxine-Pyrimethamine alone |
39 |
75 |
(10.8%) |
(12.4%) |
|
Artesunate alone |
47 |
58 |
(13.1%) |
(9.6%) |
|
Chloroquine alone |
13 |
30 |
(3.6%) |
(4.9%) |
|
Quinine alone |
1 |
15 |
(0.3%) |
(2.5%) |
|
Non-ACT (total) | 100 |
178 |
(27.8%) | (29.4%) |
Discussion
This study is the first of its kind in West Africa, and only the second study in Africa, that attempts to show the effect of RDTs on anti-malarial sales in pharmacies and it highlighted a number of interesting findings. An overall incidence of 13.6% was slightly lower than expected, considering that the study was conducted at a time when the study area was considered holo-endemic for malaria [18]; however it now is regarded as meso-endemic in an unpublished report by the NMCP [19]. The result is in line with other studies that demonstrate the relatively low proportions of fever caused by malaria. The incidence in adolescents was higher (26.0%) compared to the adult age group (11.0%), especially if they had a history of fever in the last 48 hours (47.1%). Epidemiologically, adolescents and adults tend to be classified together on the basis of incidence and clinical presentation of malaria even though it is well documented that the incidence of malaria reduces progressively with increasing age after the age of five [23]. The results again highlight the need to better understand the dynamics of malaria in this age group.
Studies have suggested the introduction of RDTs to pharmacies in recognition of its importance in the treatment of malaria in most African settings [24], but only one previous African study has demonstrated its effect on anti-malarial prescription [25]. This study clearly shows that having an RDT before treatment reduces the chance of selling anti-malarials to adolescents or non-pregnant adults with symptoms of uncomplicated malaria in a community pharmacy by 42%. The estimated reduction from this study is considerably less than that reported by other studies, which showed a 77% [26] and 96% [27] reduction in anti-malarial prescriptions with RDT use. However, there are good reasons for this difference. Firstly, unlike these studies, this study did not interfere with the decision of pharmacists or patients to treat malaria, irrespective of the outcome of the result, as this is likely to be the case in most pharmacies in Nigeria. Secondly, as opposed to government owned public health facilities, pharmacies are primarily established for profit. Therefore, it may prove extremely difficult to persuade pharmacies to restrict the sale of anti-malarials to only RDT positive patients, unless alternative sources of income are made available. Zikusooka et al. [28] suggested that restricting anti-malarial treatment to only RDT positive patients will save up to $2.12 per person, assuming that RDT and ACT were sold at government approved prices of $0.95 and $2.40 respectively, when 25% or less of the population test positive for malaria. Bearing in mind the current cost of ACT in the free market (ACT accounted for 72.2% of anti-malarial prescriptions in the intervention study arm), a 42% reduction in anti-malarial sales would lead to considerable economic benefit if the overall incidence is 13.6%.
Prior to the start of this study, the study nurse, pharmacists and staff of the intervention pharmacy were trained on how to use RDTs. Most RDT tests were conducted by the study nurse, who was provided by the study team on the request of the intervention pharmacy, to reduce the workload on the pharmacists and other staff. This is representative of most pharmacies and drugs shops in Nigeria who employ nurses or Community Health Extension Workers, to assess patients, administer intravenous medications and give basic first aid treatment when required.
Substantial interest in the value of RDTs as a tool for proper case detection and management of malaria by trained health care personnel in the public health sector is well documented [29]. This study suggests that there should be more effort at extending proper case detection and management to pharmacies and other private health sector facilities, leveraging on already existing health care workers, with particular benefits in adults and adolescents seeking to buy anti-malarials without a reported history of fever in the last 48 hours.
In this study, only a previous reported positive laboratory result, greater than secondary education and recommendation of an anti-malarial by a health professional were found to significantly affect the sale of anti-malarials when the RDT result is negative. There is a wealth of evidence that better education is associated with improved health and better health seeking behaviour and the findings from this study are in line with this. It is understandable why anti-malarial recommendations from a health professional would significantly increase anti-malarial use even if the RDT was negative and this highlights the importance of educating health professionals to use appropriate diagnostic tests. Possessing a positive laboratory test (usually microscopy) prior to presentation also significantly increased the sale of anti-malarials to RDT negative patients. This is not consistent with findings from another study in Zambia, which suggests that anti-malarials are less likely to be prescribed if RDTs are used rather than microscopy [30]. The Zambian study was performed in a hospital with trained health professionals that had little faith in their microscopy results. Since RDT was a new intervention in that study and it seem to work, the clinicians were more inclined to adhere to the RDT results compared to microscopy. In this study, both pharmacists and patients were more inclined to believe the results of the laboratory test, as it was considered to be superior to the RDTs. However, considering that only 22.9% of participants with a reported positive laboratory test just prior to presentation tested positive for malaria, and in view of the quality assured RDT results, it is fair to say that the quality of routine microscopy in this setting is poor. Education campaigns aimed at pharmacists and patients might help to publicize the advantages of RDT use before anti-malarial prescription in this setting.
There are a number of limitations to this study; it involved only two sites and the presence of the investigator may have altered the behaviour of both pharmacist and patients- towards the end of the study, there was some evidence that the pharmacist in the intervention pharmacy was becoming concerned about loss of sales. Nevertheless, the magnitude of the change in anti-malarial prescription when using RDTs compared to the control pharmacy is considerable.
The authors believe that the pharmacies used are representative of registered community pharmacies in the study area because the pre-study assessment of registered pharmacies showed similarities in their daily average anti-malarial prescription rates and practices; including prescribing anti-malarials without a doctor’s prescription. In addition, there was no observed disparity in social class or educational status among patients patronizing the pharmacies. Furthermore, prices of drugs in community pharmacies are regulated by the Association of Community Pharmacies of Nigeria (ACPN), hence, prices and availability of anti-malarials were observed to be similar. However, because the study area is in the Federal Capital Territory of Nigeria, which hosts the ACPN, it is plausible that unregistered community pharmacies exist in the area. The study highlights the enormous potential for improving appropriate prescription of anti-malarials in pharmacies and preventing unnecessary ACT use. Further research on replicating the findings in other settings, and exploring how pharmacists could be incentivized to use this approach is urgently needed.
Competing interest
The authors declare that they have no competing interests.
Authors’ contributions
JI and GA conceived the study, and coordinated the acquisition of data. JI, BF and DL designed the study and participated in analysis and interpretation of data. JI and DL helped to draft the manuscript. All authors read and approved the final manuscript.
Contributor Information
John O Ikwuobe, Email: johnikwuobe@gmail.com.
Brian E Faragher, Email: faragher@liverpool.ac.uk.
Gafar Alawode, Email: galawode@yahoo.com.
David G Lalloo, Email: dlalloo@liverpool.ac.uk.
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