- Open Access
Adverse drug events resulting from use of drugs with sulphonamide-containing anti-malarials and artemisinin-based ingredients: findings on incidence and household costs from three districts with routine demographic surveillance systems in rural Tanzania
© Njau et al.; licensee BioMed Central Ltd. 2013
- Received: 26 February 2013
- Accepted: 24 June 2013
- Published: 11 July 2013
Anti-malarial regimens containing sulphonamide or artemisinin ingredients are widely used in malaria-endemic countries. However, evidence of the incidence of adverse drug reactions (ADR) to these drugs is limited, especially in Africa, and there is a complete absence of information on the economic burden such ADR place on patients. This study aimed to document ADR incidence and associated household costs in three high malaria transmission districts in rural Tanzania covered by demographic surveillance systems.
Active and passive surveillance methods were used to identify ADR from sulphadoxine-pyrimethamine (SP) and artemisinin (AS) use. ADR were identified by trained clinicians at health facilities (passive surveillance) and through cross-sectional household surveys (active surveillance). Potential cases were followed up at home, where a complete history and physical examination was undertaken, and household cost data collected. Patients were classified as having ‘possible’ or ‘probable’ ADR by a physician.
A total of 95 suspected ADR were identified during a two-year period, of which 79 were traced, and 67 reported use of SP and/or AS prior to ADR onset. Thirty-four cases were classified as ‘probable’ and 33 as ‘possible’ ADRs. Most (53) cases were associated with SP monotherapy, 13 with the AS/SP combination (available in one of the two areas only), and one with AS monotherapy. Annual ADR incidence per 100,000 exposures was estimated based on ‘probable’ ADR only at 5.6 for AS/SP in combination, and 25.0 and 11.6 for SP monotherapy. Median ADR treatment costs per episode ranged from US$2.23 for those making a single provider visit to US$146.93 for patients with four visits. Seventy-three per cent of patients used out-of-pocket funds or sold part of their farm harvests to pay for treatment, and 19% borrowed money.
Both passive and active surveillance methods proved feasible methods for anti-malarial ADR surveillance, with active surveillance being an important complement to facility-based surveillance, given the widespread practice of self-medication. Household costs associated with ADR treatment were high and potentially catastrophic. Efforts should be made to both improve pharmacovigilance across Africa and to identify strategies to reduce the economic burden endured by households suffering from ADR.
- Adverse drug reactions
- Household costs
The development of malaria parasite resistance to commonly used drugs such as chloroquine and sulphadoxine-pyrimethamine (SP) has complicated global efforts to mitigate the burden of malaria disease especially in the poorest countries [1, 2]. The last decade has witnessed major changes in malaria treatment protocols with most malaria-endemic countries switching from cheap and ineffective drugs to relatively expensive but more efficacious artemisinin-based combination therapy (ACT) [3, 4]. ACT has been hailed by the World Health Organization (WHO) as the best new hope for malaria treatment in Africa and other endemic regions . Until the end of the 1990s, experience with large-scale use of ACT was mainly confined in Southeast Asia . At the turn of the new century, larger scale ACT trials began in other parts of the world including sub-Saharan Africa [7, 8]. By 2011, 79 countries and territories in malaria-endemic regions had adopted ACT as first-line treatment for Plasmodium falciparum malaria . Meanwhile, SP continues to be used as a drug of choice for intermittent presumptive treatment for malaria in pregnancy (IPTp). Nevertheless, sulphonamide medicines are widely used as antibiotic regimens for acute respiratory infections, urinary tract infections and as prophylaxis for HIV + patients [10, 11]. The use of sulphonamide-containing anti-malarials and other anti-malarial drugs with artemisinin ingredients has in the last decade become widespread .
Adverse drug reactions (ADR) can be defined as any drug action that is not of diagnostic, therapeutic or prophylactic benefit to the user . To date, most studies documenting the incidence of ADR caused by sulphonamides have been outside Africa [14–17]. Sulphonamide-containing anti-malarials have been found to cause severe adverse reactions, including severe skin rash (toxic epidermal necrolysis (TEN) and Stevens-Johnson syndrome (SJS)), liver disorders, and bone marrow suppression . Furthermore, the spread of HIV infection is thought to have increased the number of patients experiencing sulpha-related reactions because of multiple drug use in the context of a compromised immune system [18, 19]. Conflicting results associating overdose of artemisinin containing drugs with unusual and selective patterns of damage to certain brainstem nuclei in animals and humans have also been reported [20–23].
Concerns about the incidence of ADR in sub-Saharan Africa have increased for a number of reasons. First, there is widespread self-medication and presumptive treatment of malaria, which tends to lead to over- prescription of anti-malarials for febrile illnesses. Second, there are concerns about proliferation of substandard and counterfeit medicines, exacerbated by weak national regulatory authorities [24–26]. The third reason relates to increasing numbers of new anti-malarials entering the market in the context of an almost complete lack of phase IV post-marketing surveillance in the region [27, 28].
Because of these concerns, public health researchers and policy makers are supporting efforts to establish effective and reliable drug surveillance programmes in Africa [27–29]. However, only a few studies have investigated the frequency of anti-malarial ADR in sub Saharan Africa [30–32]. This study aims to address this gap. It is a component of the Interdisciplinary Monitoring Programme for Anti-malarial Combination Therapy (IMPACT-Tz) which was jointly designed and implemented by the Ifakara Health Institute (IHI) and the US Centers for Disease Control and Prevention (CDC) in collaboration with the Government of Tanzania . The study implemented both passive and active ADR surveillance systems in health and demographic surveillance sites (HDSS) covering parts of the three districts of Rufiji, Kilombero and Ulanga . The HDSS sites cover a combined population of over 157,000, roughly about 22% of the total population residing in the three districts (estimated at 716,892 in 2002) . Three times a year, HDSS staff visit households sampled from a cluster of 56 enumerated villages to collect data on health, demographic and socio-economic indicators.
The aim of the ADR surveillance system was to document both household-level incidence and economic burden of ADR resulting from use of anti-malarials. The study used community and health facility-based surveillance to register and follow up all potential ADR resulting from use of sulphonamide- and artemisinin-containing anti-malarials. This investigation covered over 157,000 individuals and successfully completed 24 months of clinical surveillance on ADR events caused by use of SP and/or AS anti-malarials in moderate to high transmission settings in rural Tanzania. Additionally the study provides the first data on the cost burden incurred by households in treatment of patients with anti-malarial ADR. This information has two key uses: first, it should help prioritize pharmacovigilance activities and the provision of services to ADR sufferers; and secondly, these cost estimates can contribute to large cost-effectiveness analyses of, for example, changing national drug policy as well as providing more accurate and complete estimates of the household economic burden of malaria.
Description of the study sites
This study was part of a multi-year project involving evaluation of large-scale use of anti-malarial combination drugs implemented in three rural districts of Kilombero, Ulanga, and Rufiji located in Morogoro and Coastal Regions in south-eastern Tanzania. The project is described in detail elsewhere [36, 37]. The districts are geographically contiguous, but the Rufiji population is separated from those of Kilombero and Ulanga by the Selous Game Reserve. The most common occupation in the study areas is subsistence farming, with rice, maize and cassava being predominant food crops. Other economic activities include animal husbandry, fishing and small-scale trading. The districts have very limited paved roads and some villages are cut off from major market centres during rainy seasons. At the time this study was being conducted, malaria transmission was year round intense with very high estimated mean entomological inoculation rate of between 79 and 1,209 infective bites per person per year . Malaria remains the leading cause of outpatient diagnoses, and reported inpatient deaths.
Health care is provided by a network of public and faith-based health facilities, including hospitals, health centres and dispensaries, but a significant portion of care is also provided by private sources, predominately drug shops and kiosks . Moreover, studies have shown that up to 40% of patients seek care from private sources [37, 40].
In Tanzania, anti-malarial treatment policy was changed in August 2001 when chloroquine was replaced with SP as first-line drug for uncomplicated P. falciparum malaria. By this time chloroquine treatment failures had reached a record level of over 60% of all outpatient malaria cases . The switch to SP led to widespread public concern due to fear of ADR, which was extensively covered in the media, leading many people to avoid SP use . From 2003 through 2006 the IMPACT-Tz project piloted district-wide ACT use in Rufiji, using the combination of SP + artesunate (SP/AS). As evidence of increasing SP clinical failures accumulated, the national first-line policy was changed again after only five years, with the ACT artemether-lumefantrine (ALu) being nationally adopted as first-line drug in 2006 . To accomplish this study, data collection was carried out during the year 2003 to 2005. Therefore, during the period of data collection for this study, the first-line anti-malarial was SP monotherapy in Kilombero and Ulanga, and AS/SP in Rufiji. For this reason, the ADR surveillance findings are presented separately for Rufiji District. During the same period, approximately 58% of patients with febrile illnesses were given anti-malarials upon their visit to health facilities or drug outlets.
ADR cases were identified through both passive and active surveillance. For the passive surveillance system from February 2003 clinical personnel in public and faith-based health facilities in the HDSS were trained on the signs and causes of ADR reactions. At least one health worker from a network of one hospital, four health centres and 28 dispensaries was trained to recognize, treat, document and report ADR cases presenting at their health facilities. The majority of trained health practitioners were clinical officers and nurses, with a few general physicians. Colour photographs of patients with SJS/TEN were provided and potential ADR were discussed in detail.
A screening case definition for suspected severe cutaneous ADR was defined as having at least two of the following symptoms: (i) a widespread, disseminated rash, (ii) blisters or skin detachment greater than 3 cm in diameter, or (iii) lesions on at least one mucous membrane. Additionally, clinicians were instructed to report all patients suffering from ataxia, impaired fine finger dexterity, balance problems, facial oedema, shortness of breath, urticarial rashes, or if the patient felt lightheaded within 30 min of taking the medication. Moreover, following active surveillance implementation (see below), additional symptoms of vomiting, stomach ache, diarrhoea and headache were added to the standard protocol definition after these were reported on multiple case follow-up visits.
Clinicians were asked to document clinical and demographic information of patients presenting with ADR symptoms on standard Tanzania Food and Drug Authority (TFDA) adverse event reporting forms and in specially provided log books. These reports were forwarded to the District Health Management Teams (DHMTs) and the Project ADR Surveillance Officer (ADR SO) for follow-up investigation. All ADR SOs were medical professionals with background in clinical training as clinical officers and/or assistant medical officers. Standard screening procedure based on review of ADR clinical literature and the expert advice from SJS dermatologist was developed and adopted for training the ADR SOs to assess and categorize ADR events. Additionally, a set of standard questions based on many years of field data collection experience in this area, were jointly developed by IHI and CDC Malaria Branch researchers to help clinicians ascertain any additional side-effects not captured in the standard protocol. The ADR SO conducted a complete history and physical examination of each patient with particular attention on the drug-use history and dermatologic examination. In the event of fatalities, the parent or caretaker of the patient was interviewed. This study reports on ADR events detected through passive surveillance, from January 2004 to December 2005.
To increase the number of cases reported, passive surveillance was supplemented by active case detection in 2004 and 2005. Questions on uptake of anti-malarials, particularly SP and/or AS, in the past 90 days and any related side effects were asked through cross-sectional household surveys completed in 2004 and 2005. The surveys were conducted from June to September of each year, capturing the typical high malaria transmission season in the study area. For each year’s survey, independent samples from the same clusters of 56 census enumerated villages (31 in Rufiji and 25 in Kilombero/Ulanga) were randomly selected . Following informed consent, questionnaires were administered to a total of 16,290 individuals from over 5,300 households in the two years combined. Of those interviewed, 46.5% were from Rufiji and the remaining 53.5% were from Kilombero/Ulanga. Respondents were asked whether they, or their children, experienced specified side effects defined in the study protocol following their SP and/or AS intake during the last three months. Respondents were also asked to list other side effects/experiences related to these drugs. The ADR SO reviewed the completed questionnaires and selected all potential ADR cases for detailed clinical examination. Each suspected ADR case reported through active surveillance was visited at home by the ADR SO after the completion of each round of the household survey. As with cases identified through passive surveillance, the ADR SO conducted a detailed history and physical examination of ADR patients and interviewed the patient or their caretaker/close relatives. To avoid double counting by active and passive surveillance systems, the ADR SOs contacted clinicians at local health facilities to harmonize their information.
All completed case follow-up reports were forwarded to study physicians who classified the suspected cases into one of five categories: i) probable or ii) possible severe adverse reaction (TEN/SJS and/or severe neurological reaction and/or anaphylaxis) associated with sulphonamide and/or artesunate intake; iii) probable or iv) possible severe adverse reaction (TEN/SJS and/or severe neurological reaction and/or anaphylaxis) not associated with sulphonamide and/or artesunate intake; or (v) skin condition, neurological reaction and/or anaphylactic reaction not consistent with an expected side effect from sulphonamide-containing anti-malarial and/or artesunate drug intake. Side effects like headaches, diarrhoea and nausea that did not occur concurrently with the ADR symptoms (i.e. skin conditions including lesions and blisters) were not included in the ADR incidence calculations but their related household treatment costs were accounted because of their economic significance. A patient was considered exposed if s/he reported any use of SP and/or AS in the 30 days before initial symptoms of drug reactions were observed.
The interviews for all suspected ADR cases identified included questions on care-seeking and household treatment costs. Household cost data collected covered both health facility based expenditures (drugs, registration/consultation, inpatient admission, laboratory test expenses, informal payments), and non-facility expenditures (travel costs, food and accommodation costs for patients and those accompanying them to providers). Respondents incurring cash expenditures were asked how these expenses were paid for. The study did not attempt to estimate the indirect productivity costs in terms of working days lost for patients and caretakers.
Estimation of ADR occurrence rates
To obtain the numerators for calculation of ADR occurrence rates due to exposure to SP and/or AS, events meeting the physicians’ classification of ‘probable’ ADR cases were included (‘possible’ ADR were not included in incidence estimates). For the denominator, the proportions of the population exposed to sulphonamide and artemisinin-based anti-malarial drugs was obtained through the household surveys in 2004 and 2005 described above, together with similar surveys conducted in 2001 and 2002, to help capture the variations of malaria prevalence in the study area. In these cross-sectional surveys, individuals within households were asked about their use of sulphonamide-containing anti-malarials in the past two weeks. The two weeks reported anti-malarial use was multiplied by 26 to ascertain their annual usage rates. Annualized SP and/or AS exposure rates were extrapolated for the entire HDSS study sites populations expressed as proportion of ADR occurrence per 100,000 exposures.
Data management and analysis
Data were double entered in FOXPRO 2.6a (Microsoft Inc, Redmond, WA, USA), and analysis was performed using STATA version 10 (Stata Corp, College Station, TX, USA). Costs are presented in 2005 US$ (exchange rate US$1 = TZS1,150/=).
This study received ethical approval from the institutional review boards of the Ifakara Health Institute, the Tanzanian Medical Research Coordinating Committee and the US Centers for Disease Control and Prevention.
Suspected ADR cases recorded through active and passive surveillance
Adverse drug reactions reported through active and passive surveillance and dominant symptoms reported
Total suspected adverse drug events reported
Identified through active surveillance
Identified through passive surveillance
Number of cases successfully traced
Of the successfully traced cases:
N = 79 (100)
Events associated with SP monotherapy
Events associated with AS/SP combination therapy
Events associated with AS monotherapy
Events outside DSS area (excluded)
Events unrelated to SP and/or AS (excluded)
Dominant symptoms reported for those included:
N = 67 (100)
Body blisters and skin detachment
Body swelling, itching and urticarial rashes
Multiple lésions on mucus membranes
Facial edema, sore mouth/nose conjunctiva
Deaths attributable to SP and/or AS caused ADR
Classification of adverse drug reactions by type of surveillance, site and type of drugs used
Type of Surveillance
Type of Drug Used
About 78% of patients or caretakers interviewed reported experiencing/seeing multiple ADR symptoms within 36 hours of SP and/or AS intake. The dominant illness conditions reported by the 67 patients included a combination of one or multiple illness diagnostic conditions such as; body blisters and skin detachment, body swelling, itching and urticarial rashes, multiple lesions on mucous membranes around the mouths, nose or conjunctivae, and facial oedema, and other side effects like light-headedness, headache, shortness of breath, stomach ache, diarrhoea, vomiting, and also severe kidney pain (Table 1).
Four patients died at health facilities following clinical deterioration within three weeks following onset of drug reactions associated with SP use. A further three patients died outside health facilities with reported treatment of drug reactions prior to their deaths. Four of the deceased had reported SP intake, two had used the AS/SP combination and one had used sulphonamide-containing antibiotics to treat other illnesses. Two of the victims were reported to have had swollen bodies and blisters, including mouth, nose and ear membrane lesions. Other fatalities suffered multiple complications including kidney failures (n = 3), with one case exhibiting pneumonia-like symptoms. All reported deaths were classified as ‘probable’ ADR events.
Estimation of ADR occurrence rate
Parameters for estimation of ADR incidence from both active and passive surveillance, January 2004 to December 2005
KILOMBERO/ ULANGA Districts
Probable ADR events detected by passive surveillance:
Combination of AS/SP
Probable ADR events detected by active surveillance:
Combination of AS/SP
Total probable ADR events detected:
Combination of AS/SP
Total Population Under DSS Surveillance
Estimates of average annual anti-malarial drug exposure rates in the DSS areas per capita:
Combination of AS/SP
Estimate of total doses used by the DSS population in 2004/5 (population * average annual exposure)
Combination of AS/SP
Estimated ADR incidence per 100,000 exposures 1
Combination of AS/SP
Patient characteristics, care-seeking and type of payments: (Includes all probable and possible cases with complete cost information)
Number of cases with complete cost information
Health outcomes on day of interview:
Age under-five years
Patient care-seeking sources:
Public health facilities
Faith based/NGO facilities
Private drug shop outlets
Obtained drugs from family & neighbours
Treatment expenditure pattern
Patients with no expenses
Patients with one or multiple expenses
Payment mechanisms for patients with treatment expenses N = 37
Only cash that was to hand/past savings
Health insurance (community/employer)
Cash to hand and/or selling household assets or part of farm harvest
Borrowed from friends or relatives
Report of any informal payments
Made informal payments at the place of care
Forty-five patients reported visiting government or private health facilities, three obtained drugs from private drug outlets only and two obtained drugs from relatives and friends. Of those visiting healthcare providers, patients made one to four visits to single or different providers. A total of 77 visits to different healthcare providers were made. The majority (44 (57%)) were to public health facilities, mainly government dispensaries and health centres, followed by 24 (31%) to faith-based and NGO facilities, with only seven (9%) to commercial retail drug stores. There were two (3%) patients who obtained drugs from their relatives and friends only. Furthermore, two patients made four visits each, three patients made three visits, 15 made two visits, and the remaining 30 patients sought care from one provider. Reasons given for multiple visits included poor case diagnosis, slow recovery and lack of appropriate drugs or drug stock-outs. For the two patients making four visits, one patient made two visits to a government dispensary, one visit to a mission dispensary, one visit to a disability hospital in Dar es Salaam and a government district hospital in Rufiji District. The other visited a drug shop, a government dispensary, a government health centre and finally a mission hospital.
Of all 50 ADR patients with complete cost information, 22 (44%) were admitted at some point during the illness episode, with admissions lasting from 24 hours up to 60 days. The mean number of admission days was 14.5 (SD-17.12) with a median of 7.5 days and an interquartile range (IQR) of 13 days.
Household costs of treatment-seeking
Household treatment expenditure per ADR episode (2005 USD)
Expenses for patients with and without expenditures
Number of episodes
Episodes with complete cost information (with and without expenses)
0.00 – 226.04
0.00 – 115.91
Treatment costs by admission status:
0.00 – 226.04
0.00 – 35.39
Treatment costs by survivorship
Costs for patients surviving
0.00 – 125.87
Costs for Patients dying
0.00 – 226.04
Number of visits:
0.00 – 44.04
1.74 – 115.91
43.91 – 125.87
67.83 – 226.04
0.00 – 226.04
Kilombero / Ulanga
0.00 – 115.91
Under 5 years
0 – 32.91
5 years or over
0 – 226.04
By drug use
9.74 – 9.74
0 – 226.04
SP + Artesunate
0 – 125.87
Household treatment expenditure per visit by provider type (2005 USD) 1
Source of care visited
Number of visits
0 – 87.74
Faith based and NGO facilities
0.09 – 81.04
Private drug outlets
0.56 – 33.83
Drugs from relatives and friends
0.00 – 0.00
All patients visits 1
0 – 87.74
Drug costs constituted the largest component of total treatment expenditures at 43.3%, followed by transport, food and accommodation (32.9%), and registration, consultation, laboratory tests and other fees (23.8%) (data not shown). In one case the family of a deceased patient reported hiring a vehicle to transport the patient from Dar es Salaam to Rufiji District costing them about US$130. The expenditure pattern was fairly similar for both government and non-governmental facilities, with expenditure at private drug retailers being mostly on drugs alone. For those reporting informal expenses, payments ranged from US$0.21 to 4.34 per visit, with a mean informal payment of US$1.07 and median of US$0.36.
For the four patients reporting to have sold some of their assets or farm harvests, they mentioned selling various items including animals, bags of rice and corn and household furniture. Additionally, seven had to borrow from relatives or friends to pay their treatment bills.
ADR occurrence rates in rural Tanzania were estimated at 11.6 and 25.0 due to exposure to SP in Rufiji and Kilombero/Ulanga respectively. Incidence due to use of AS/SP combination was substantially lower at 5.6 per 100,000 exposures. A number of reasons might have been responsible for this trend, including differences in quality of care, frequency of drug use between the sites and a relatively sporadic supply chain for the AS/SP combination drugs. At least in Kilombero and Ulanga district, there was a project engaged in improving access to anti-malarials which might have also influenced the use of sulphonamide containing anti-malarials amongst the targeted population . Our study design may also have been somehow biased as it was more geared to identify ADR cases caused by use of SP monotherapy than AS/SP combination drugs. Following the national anti-malarial policy change, there were anecdotal reports of ADR events caused by SP drugs resulting to general public outcry and resistance in using SP drugs for malaria treatment. Therefore, ADR SOs in districts with SP monotherapy enjoyed closer supervision and follow-up of their activities than those in Rufiji which includes the highly inaccessible Rufiji delta area where reporting and tracing cases for confirmation might have been more difficult. Seven of the 67 cases successfully traced and clinically classified died for reasons associated with ADR. Of those dying, four were recorded in Rufiji and three were from Kilombero and Ulanga districts. Estimations of ADR occurrence rates were based on cases classified as ‘probable’ ADR events only, and would have been higher if ‘possible’ ADR had also been included. It is also important to note that most of the ADR cases reported were associated with SP and SP/AS (but none for AS alone).
These findings may be compared with studies conducted in other malaria-endemic settings including Malaysia, Peru and Malawi [16, 17, 30]. In the Malaysian study, ADR incidence was estimated at 2.4 per 100,000 exposures to SP. SP was used prophylactically by almost a half of those exposed and almost certainly involved repeated dosing . The study in Peru followed up patients exposed to the combination of SP plus artesunate in selected clinics for two years, with 8% reporting some associated ADR, although very mild reactions were included in the ADR definition . A study in Blantyre, Malawi beginning early 2001 used a definition more comparable to that used in this study, and estimated ADR associated with use of SP or trimethoprim-sulphamethoxazole (cotrimoxazole) at 0.3 to 8.4 per 100,000 exposures . ADR incidence among HIV positive persons was higher at 20.4 per 100,000 exposures. This study did not collect information on HIV status during the IMPACT-Tz study, however, other sources indicate that HIV prevalence rates at the time ranged from 4 to 7% across the study districts . The studies from Peru and Malawi relied on health facility-based surveillance only, with no active community surveillance. The authors of the Malawi study in particular acknowledged this limitation and suggested that that the number of ADR cases might have been under-reported, especially in areas where access to health facilities was difficult . Following the nature of active surveillance component of this study, it is not surprising that incidence rates are higher. Studies on healthcare-seeking behaviour in the three study districts have reported that government health facilities see less than 60% of all healthcare seekers with fever/malaria, with many patients purchasing drugs at drug shops, general shops and small kiosks [40, 47], an indication that reliance on passive surveillance only is likely to miss some cases. However, it is possible that the figures presented in this study are underestimated, as recall bias and the assumption of homogeneity in the level of exposure to these drugs may have led to under-reporting during active surveillance, especially of more minor ADR. It is also important to note that this study’s surveillance estimates were based on areas with routine demographic surveillance where a range of health interventions are continually evaluated. It is possible that exposure to anti-malarial drugs in the study sites was therefore higher than might be reported from the rest of the country.
Analysis of the household costs of treating probable and possible ADR events resulting from use of anti-malarials showed that despite these events being rare occurrences, their associated treatment expenses can have important economic consequences. Mean treatment expenditure for an ADR episode was US$24.45 with a median of US$10.00, with average expenditure rising rapidly with number of providers visited. Average household costs of care were ten-fold higher than those reported for treating an episode of fever or malaria [48, 49]. For example, studies conducted in the same districts in mid-2001 reported a mean household expenditure of US$0.30 and a median of US$0.06 (all in 2001 prices) per fever episodes .
Furthermore, some patients with ADR endured lengthy periods of illness as indicated by median admission days of 7.5 with the longest hospital admission lasting 60 days. Data were not collected on the total number of disability days caused by ADR events, but it seems likely that the number of productive days lost was higher than those usually reported in most malaria studies which do not consider ADR [48, 49]. By the time this study was completed, of the 50 patients with complete cost information, five (10%) patients said they were yet to fully recover.
The costs for treating ADR resulting from use of SP monotherapy were found to be higher than those from ACT use. However, this may be confounded by the different health financing policies in place in the two study areas during the study period. In Kilombero and Ulanga Districts where SP monotherapy was routinely delivered as first-line treatment, government facilities had started implementing user fees for all patients except pregnant mothers and children aged below five years in early 2003. In contrast, in Rufiji District, where SP/AS was available, services at government-owned facilities were officially free until late 2005 when user fees were introduced for the first time.
There are indications that the costs associated with treatment of drug reactions placed substantial financial burden on the households concerned. Of the 37 ADR patients who paid money while seeking treatment, only six patients made payments through a health insurance scheme, an indication of very low health insurance coverage in these areas. Additionally, eight patients reported having to sell part of their farm harvests or household assets; and two had to borrow money to finance their treatment. An alternative way to understand the magnitude of the treatment burden placed on households because of ADR events is by comparison with total household per capita income or expenditure. Tanzania’s GDP per capita was estimated at US$326 in 2005 , and median monthly household expenditure in the HDSS study sites ranged from US$77 to 96 with 75% of expenditure on food . Following the WHO criteria for catastrophic expenditures, households spending 50% or more of their non-food expenditure on healthcare are likely to be impoverished by the cost [52, 53]. Other studies have defined household expenditures as catastrophic whenever household healthcare spending exceeds 40% of income remaining after subsistence needs are met [54, 55]. In either case, these findings indicate that a majority of treatment expenditures on adverse events could be considered catastrophic.
Finally, it is important to note that full cost information was only available for 50 patients classified as ‘possible or probable’ ADR events. This is an inherent problem with studying rare events. Some respondents had to recall costs over a relatively long period compared to standard household surveys, which may have increased the likelihood of recall bias. However, perhaps reflecting the fact that ADR are unusual and possibly catastrophic events, during data collection interviewees did not have difficulties in remembering treatment sought and costs incurred. Meanwhile it is also important to note that five cases included in the costing analysis had not fully recovered on the day of interview. This may have slightly underestimated the total cost of their treatment. However, all except one had already obtained all their drugs for treating their conditions and were unlikely to visit healthcare facilities or drug shops for additional treatment to the same illness.
While these drugs were found to be generally safe, this study underscores the importance of improving ADR surveillance for anti-malarial drugs. The use of active surveillance especially in places with HDSS research platforms may play an important part in enhancing post marketing drug safety surveillance. Efforts to increase access to effective anti-malarials should go hand in hand with implementation of effective drug safety surveillance across nations , especially given the new generation of anti-malarial drugs in the pipeline and concerns about fake and substandard anti-malarials [26, 56].
Household ADR occurrence rates in rural Tanzania were estimated at 11.6 and 25.0 per 100,000 exposures to SP in Rufiji and Kilombero/Ulanga Districts respectively, and at 5.6 per 100,000 exposures to AS/SP in Rufiji. Both passive and active surveillance methods proved to be feasible for carrying out SP and/or AS related ADR surveillance. Active surveillance provided an important complement to the health facility-based passive surveillance, given the widespread practice of self-medication in Tanzania. The costs of treating patients suffering from ADR were high and potentially catastrophic to the majority of poor households, with particularly high costs for those reporting hospital admissions. Efforts should be made to both strengthen pharmacovigilance monitoring across Africa and to identify strategies to reduce the economic burden for households suffering from ADR.
We would like to thank the clinicians: Aggrey Malila, Aggrey Ngajilo, and Faustin Gabriel for their invaluable efforts during the nearly three years of data collection throughout the three districts. The study would not have been accomplished without the field logistic support of two outstanding HDSS field managers: the late Mr Yahaya Mkilindi from Rufiji and Mr Jensen Charles at the Ifakara field site. The authors are also grateful to the district medical officers and clinicians in Rufiji, Kilombero and Ulanga Districts for their dedication during the study period. Finally, this report is published with permission of the Director-General for Tanzania’s National Institute for Medical Research (NIMR).
The Interdisciplinary Monitoring Project for Antimalarial Combination Therapy in Tanzania (IMPACT-Tz) is a collaborative implementation research platform resting on: Ifakara Health Institute, US Centers for Disease Control and Prevention, London School of Hygiene and Tropical Medicine, and the Ministry of Health and Social Welfare including its National Malaria Control Programme, the Tanzania Essential Health Interventions Project and the Council Health Management Teams of Kilombero, Rufiji, and Ulanga Districts. Financial support for IMPACT-Tz comes primarily from CDC, the U.S. Agency for International Development and the Wellcome Trust.
The authors are grateful to the US Centers for Disease Control and Prevention and USAID for funding this study. CG is a member of the LSHTM Malaria Centre.
The findings and opinions expressed by authors in this article do not necessarily reflect the opinion of the Centers for Disease Control and Prevention or the institutions with which the authors are affiliated.
- Wongsrichanalai C, Pickard AL, Wernsdorfer WH, Meshnick SR: Epidemiology of drug-resistant malaria. Lancet Infect Dis. 2002, 2: 209-218. 10.1016/S1473-3099(02)00239-6.View ArticlePubMedGoogle Scholar
- Greenwood B, Mutabingwa T: Malaria in 2002. Nature. 2002, 415: 670-672. 10.1038/415670a.View ArticlePubMedGoogle Scholar
- Berman D: ACT NOW to get malaria treatment that works to Africa. 2003, Brussels, Belgium: MSFGoogle Scholar
- WHO-Roll Back Malaria(RBM): Antimalarial Drug Combination Therapy: A report of WHO technical consultation. 2001, Geneva: WHOGoogle Scholar
- World Health Organization: World Malaria Report 2008. 2008, Geneva: WHO PressView ArticleGoogle Scholar
- Bloland PB, Ettling M, Meek S: Combination therapy for malaria in Africa: hype or hope?. Bull World Health Organ. 2000, 78: 1378-1388.PubMed CentralPubMedGoogle Scholar
- White NJ, Olliaro P: Artemisinin and derivatives in the treatment of uncomplicated malaria. Med Trop (Mars). 1998, 58: 54-56.Google Scholar
- Ashley EA, White NJ: Artemisinin-based combinations. Curr Opin Infect Dis. 2005, 18: 531-536. 10.1097/01.qco.0000186848.46417.6c.View ArticlePubMedGoogle Scholar
- WHO: World Malaria Report 2012. In WHO Global Malaria Programme: World Malaria Report. 2012, Geneva: WHO, 105.Google Scholar
- Graham NM: The epidemiology of acute respiratory infections in children and adults: a global perspective. Epidemiol Rev. 1990, 12: 149-178.PubMedGoogle Scholar
- Peters PJ, Thigpen MC, Parise ME, Newman RD: Safety and toxicity of sulfadoxine/pyrimethamine: implications for malaria prevention in pregnancy using intermittent preventive treatment. Drug Saf. 2007, 30: 481-501. 10.2165/00002018-200730060-00003.View ArticlePubMedGoogle Scholar
- Bosman A, Mendis KN: A major transition in malaria treatment: the adoption and deployment of artemisinin-based combination therapies. Am J Trop Med Hyg. 2007, 77: 193-197.PubMedGoogle Scholar
- Phillips-Howard PA, Bjorkman AB: Ascertainment of risk of serious adverse reactions associated with chemoprophylactic antimalarial drugs. Bull World Health Organ. 1990, 68: 493-504.PubMed CentralPubMedGoogle Scholar
- Bjorkman A, Phillips-Howard PA: Adverse reactions to sulfa drugs: implications for malaria chemotherapy. Bull World Health Organ. 1991, 69: 297-304.PubMed CentralPubMedGoogle Scholar
- Miller KD, Lobel HO, Satriale RF, Kuritsky JN, Stern R, Campbell CC: Severe cutaneous reactions among American travelers using pyrimethamine-sulfadoxine (Fansidar) for malaria prophylaxis. Am J Trop Med Hyg. 1986, 35: 451-458.PubMedGoogle Scholar
- Cairo J, Durand S, Marquiño W, Cabezas C, Lachira A, Quintana F, Vegas W, Ruebush TK, Utz G, Bacon DJ: Surveillance for adverse drug reactions to combination antimalarial therapy with sulfadoxine-pyrimethamine plus artesunate in Peru. American J Trop Med Hyg. 2008, 79: 42-44.Google Scholar
- Lyn PC, Fernandez E: Severe cutaneous adverse reactions and sulphadoxine-pyrimethamine in Sabah, Malaysia. Med J Australia. 1987, 146: 335-336.PubMedGoogle Scholar
- Caumes E, Bocquet H, Guermonprez G, Rogeaux O, Bricaire F, Katlama C, Gentilini M: Adverse cutaneous reactions to pyrimethamine sulfadiazine and pyrimethamine/clindaycin in patients with AIDS and toxoplasmic encephalitis. Clin Infect Dis. 1995, 21: 656-658. 10.1093/clinids/21.3.656.View ArticlePubMedGoogle Scholar
- Uneke CJ, Ogbonna A: Malaria and HIV co-infection in pregnancy in sub-Saharan Africa: impact of treatment using antimalarial and antiretroviral agents. Trans R Soc Trop Med Hyg. 2009, 103: 761-767. 10.1016/j.trstmh.2008.06.017.View ArticlePubMedGoogle Scholar
- Nontprasert A, Pukrittayakamee S, Nosten-Bertrand M, Vanijanonta S, White NJ: Studies of the neurotoxicity of oral artemisinin derivatives in mice. American J Trop Med Hyg. 2000, 62: 409-412.Google Scholar
- Kissinger E, Hien TT, Hung NT, Nam ND, Tuyen NL, Dinh BV, Mann C, Phu NH, Loc PP, Simpson JA, White NJ, Farrar JJ: Clinical and neurophysiological study of the effects of multiple doses of artemisinin on brain-stem function in Vietnamese patients. Am J Trop Med Hyg. 2000, 63: 48-55.PubMedGoogle Scholar
- Brewer TG, Grate SJ, Peggins JO, Weina PJ, Petras JM, Levine BS, Heiffer MH, Schuster BG: Fatal neurotoxicity of arteether and artemether. Am J Trop Med Hyg. 1994, 51: 251-259.PubMedGoogle Scholar
- Genovese RF, Newman DB, Li Q, Peggins JO, Brewer TG: Dose-dependent brainstem neuropathology following repeated arteether administration in rats. Brain Res Bull. 1998, 45: 199-202. 10.1016/S0361-9230(97)00339-0.View ArticlePubMedGoogle Scholar
- Cockburn R, Newton PN, Agyarko EK, Akunyili D, White NJ: The global threat of counterfeit drugs: why industry and governments must communicate the dangers. PLoS Med. 2005, 2: e100. 10.1371/journal.pmed.0020100.PubMed CentralView ArticlePubMedGoogle Scholar
- Newton P, Green M, Mildenhall D, Plancon A, Nettey H, Nyadong L, Hostetler D, Swamidoss I, Harris G, Powell K, Timmermans A, Amin A, Opuni S, Barbereau S, Faurant C, Soong R, Faure K, Thevanayagam J, Fernandes P, Kaur H, Angus B, Stepniewska K, Guerin P, Fernandez F: Poor quality vital anti-malarials in Africa - an urgent neglected public health priority. Malar J. 2011, 10: 352. 10.1186/1475-2875-10-352.PubMed CentralView ArticlePubMedGoogle Scholar
- Dondorp AM, Newton PN, Mayxay M, Van Damme W, Smithuis FM, Yeung S, Petit A, Lynam AJ, Johnson A, Hien TT, McGready R, Farrar JJ, Looareesuwan S, Day NPJ, Green MD, White NJ: Fake antimalarials in Southeast Asia are a major impediment to malaria control: multinational cross-sectional survey on the prevalence of fake antimalarials. Trop Med Int Health. 2004, 9: 1241-1246. 10.1111/j.1365-3156.2004.01342.x.View ArticlePubMedGoogle Scholar
- Pirmohamed M, Atuah KN, Dodoo AN, Winstanley P: Pharmacovigilance in developing countries. BMJ. 2007, 335: 462. 10.1136/bmj.39323.586123.BE.PubMed CentralView ArticlePubMedGoogle Scholar
- Talisuna AO, Staedke SG, D'Alessandro U: Pharmacovigilance of antimalarial treatment in Africa: is it possible?. Malar J. 2006, 5: 50. 10.1186/1475-2875-5-50.PubMed CentralView ArticlePubMedGoogle Scholar
- Lang T, Hughes D, Kanyok T, Kengeya-Kayondo J, Marsh V, Haaland A, Pirmohamed M, Winstanley P: Beyond registration–measuring the public-health potential of new treatments for malaria in Africa. Lancet Infect Dis. 2006, 6: 46-52. 10.1016/S1473-3099(05)70326-1.View ArticlePubMedGoogle Scholar
- Gimnig JE, MacArthur JR, M'Bang'ombe M, Kramer MH, Chizani N, Stern RS, Mkandala C, Newman RD, Steketee RW, Campbell CH: Severe cutaneous reactions to sulfadoxine-pyrimethamine and trimethoprim-sulfamethoxazole in Blantyre District, Malawi. Am J Trop Med Hyg. 2006, 74: 738-743.PubMedGoogle Scholar
- Mehta U, Durrheim D, Mabuza A, Blumberg L, Allen E, Barnes KI: Malaria pharmacovigilance in Africa: lessons from a pilot project in Mpumalanga Province, South Africa. Drug Saf. 2007, 30: 899-910. 10.2165/00002018-200730100-00008.View ArticlePubMedGoogle Scholar
- Oshikoya KA, Njokanma OF, Chukwura HA, Ojo IO: Adverse drug reactions in Nigerian children. Paediatr Perinat Drug Ther. 2007, 8: 81-88. 10.1185/146300907X199858.View ArticleGoogle Scholar
- IHRDC: IMPACT Project Annual Report. 2005, Dar es Salaam: Ifakara Health Research and Development CentreGoogle Scholar
- Network INDEPTH: Population and health in developing countries: 1st edn. 2002, IDRC, Canada: OttawaGoogle Scholar
- United Republic of Tanzania: 2002 National Pupulation and Housing Census- General Report. In National Census (NBS). 2003, Dar es Salaam: NBSGoogle Scholar
- Njau JD, Goodman CA, Kachur SP, Mulligan J, Munkondya JS, McHomvu N, Abdulla S, Bloland P, Mills A: The costs of introducing artemisinin-based combination therapy: evidence from district-wide implementation in rural Tanzania. Malar J. 2008, 7: 4. 10.1186/1475-2875-7-4.PubMed CentralView ArticlePubMedGoogle Scholar
- Khatib R, Skarbinski J, Njau J, Goodman C, Elling B, Kahigwa E, Roberts J, MacArthur J, Gutman J, Kabanywanyi A, Smith E, Somi M, Lyimo T, Mwita A, Genton B, Tanner M, Mills A, Mshinda H, Bloland P, Abdulla S, Kachur SP: Routine delivery of artemisinin-based combination treatment at fixed health facilities reduces malaria prevalence in Tanzania: an observational study. Malar J. 2012, 11: 140. 10.1186/1475-2875-11-140.PubMed CentralView ArticlePubMedGoogle Scholar
- Abdulla S, Gerry K: MTIMBA Interim Report-Tanzania site. 2005, Dar es Salaam: IHRDCGoogle Scholar
- Goodman C, Kachur SP, Abdulla S, Mwageni E, Nyoni J, Schellenberg JA, Mills A, Bloland P: Retail supply of malaria-related drugs in rural Tanzania: risks and opportunities. Trop Med Int Health. 2004, 9: 655-663. 10.1111/j.1365-3156.2004.01245.x.View ArticlePubMedGoogle Scholar
- Hausmann Muela S: Community understanding of malaria, and treatment-seeking behaviour, in a holoendemic area of southeastern Tanzania. 2000, Basel, Switzerland: PhD Thesis, University of Basel, Faculty of ScienceGoogle Scholar
- Premji Z, Makwaya C, Minjas JN: Current clinical efficacy of chloroquine for the treatment of Plasmodium falciparum infections in urban Dar es Salaam, United Republic of Tanzania. Bull World Health Organ. 1999, 77: 740-744.PubMed CentralPubMedGoogle Scholar
- Mwita A: Malaria treatment and drug resistance status in Tanzania. 2000, MoH: Dar es SalaamGoogle Scholar
- Mugittu K, Abdulla S, Falk N, Masanja H, Felger I, Mshinda H, Beck H-P, Genton B: Efficacy of sulfadoxine-pyrimethamine in Tanzania after two years as first-line drug for uncomplicated malaria: assessment protocol and implication for treatment policy strategies. Malar J. 2005, 4: 55. 10.1186/1475-2875-4-55.PubMed CentralView ArticlePubMedGoogle Scholar
- Currency Exchange Rate History: [http://www.oanda.com/currency/historical-rates/]
- Hetzel M, Iteba N, Makemba A, Mshana C, Lengeler C, Obrist B, Schulze A, Nathan R, Dillip A, Alba S, Mayumana I, Khatib R, Njau J, Mshinda H: Understanding and improving access to prompt and effective malaria treatment and care in rural Tanzania: the ACCESS programme. Malar J. 2007, 6: 83. 10.1186/1475-2875-6-83.PubMed CentralView ArticlePubMedGoogle Scholar
- Tanzania Commission for AIDS (TACAIDS): Tanzania National Bureau of Statistics (NBS), MEASURE DHS: 2003–04 Tanzania HIV/AIDS Indicator Survey. 2004, (MEASURE DHS) ed. Calverton, MD 20705 USA: TACAIDSGoogle Scholar
- de Savigny D, Mayombana C, Mwageni E, Masanja H, Minhaj A, Mkilindi Y, Mbuya C, Kasale H, Reid G: Care-seeking patterns for fatal malaria in Tanzania. Malar J. 2004, 3: 27. 10.1186/1475-2875-3-27.PubMed CentralView ArticlePubMedGoogle Scholar
- Chima RI, Goodman CA, Mills A: The economic impact of malaria in Africa: a critical review of the evidence. Health Policy. 2003, 63: 17-36. 10.1016/S0168-8510(02)00036-2.View ArticlePubMedGoogle Scholar
- Castillo-Riquelme M, McIntyre D, Barnes K: Household burden of malaria in South Africa and Mozambique: is there a catastrophic impact?. Trop Med Int Health. 2008, 13: 108-122. 10.1111/j.1365-3156.2007.01979.x.View ArticlePubMedGoogle Scholar
- Njau JD, Goodman C, Kachur SP, Palmer N, Khatib RA, Abdulla S, Mills A, Bloland P: Fever treatment and household wealth: the challenge posed for rolling out combination therapy for malaria. Trop Med Int Health. 2006, 11: 299-313. 10.1111/j.1365-3156.2006.01569.x.View ArticlePubMedGoogle Scholar
- United Republic Of Tanzania: The Economic Survey 2005. 2005, Ministry of Finance ed. Dar es Salaam: Gov. of Tanzania: URT Government Printing PressGoogle Scholar
- WHO: The World health report 2000. Health Systems: improving performance. 2000, Geneva: WHOGoogle Scholar
- Tin Tin S, Kouyate B, Flessa S: Catastrophic household expenditure for health care in a low-income society: a study from Nouna District, Burkina Faso. Bull World Health Organ. 2006, 84: 21-27.Google Scholar
- Xu K, Evans DB, Carrin G, Aguilar-Rivera AM, Musgrove P, Evans T: Protecting households from catastrophic health spending. Health Aff. 2007, 26: 972-983. 10.1377/hlthaff.26.4.972.View ArticleGoogle Scholar
- Xu K, Evans DB, Kawabata K, Zeramdini R, Klavus J, Murray CJL: Household catastrophic health expenditure: a multicountry analysis. Lancet. 2003, 362: 111-117. 10.1016/S0140-6736(03)13861-5.View ArticlePubMedGoogle Scholar
- Bate R, Coticelli P, Tren R, Attaran A: Antimalarial drug quality in the most severely malarious parts of Africa – a six country study. PLoS One. 2008, 3: e2132. 10.1371/journal.pone.0002132.PubMed CentralView ArticlePubMedGoogle Scholar
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