Health-seeking behaviour of human brucellosis cases in rural Tanzania
© Kunda et al; licensee BioMed Central Ltd. 2007
Received: 17 November 2006
Accepted: 03 November 2007
Published: 03 November 2007
Brucellosis is known to cause debilitating conditions if not promptly treated. In some rural areas of Tanzania however, practitioners give evidence of seeing brucellosis cases with symptoms of long duration. The purpose of this study was to establish health-seeking behaviour of human brucellosis cases in rural Tanzania and explore the most feasible ways to improve it.
This was designed as a longitudinal study. Socio-demographic, clinical and laboratory data were collected from patients who reported to selected hospitals in rural northern Tanzania between June 2002 and April 2003. All patients with conditions suspicious of brucellosis on the basis of preliminary clinical examination and history were enrolled into the study as brucellosis suspects. Blood samples were taken and tested for brucellosis using the Rose-Bengal Plate Test (RBPT) and other agglutination tests available at the health facilities and the competitive ELISA (c-ELISA) test at the Veterinary Laboratory Agencies (VLA) in the UK. All suspects who tested positive with the c-ELISA test were regarded as brucellosis cases. A follow-up of 49 cases was made to collect data on health-seeking behaviour of human brucellosis cases.
The majority of cases 87.7% gave a history of going to hospital as the first point of care, 10.2% purchased drugs from a nearby drug shop before going to hospital and 2% went to a local traditional healer first. Brucellosis cases delayed going to hospital with a median delay time of 90 days, and with 20% of the cases presenting to hospitals more than a year after the onset of symptoms. Distance to the hospital, keeping animals and knowledge of brucellosis were significantly associated with patient delay to present to hospital.
More efforts need to be put on improving the accessibility of health facilities to the rural poor people who succumb to most of the diseases including zoonoses. Health education on brucellosis in Tanzania should also stress the importance of early presentation to hospitals for prompt treatment.
Brucellosis is caused by gram-negative bacilli, of the genus Brucella (Brucella abortus, B. suis, B. melitensis and B. canis) . The most common clinical features of brucellosis include fever, fatigue, headache, sweating, joint pain, loss of appetite, muscular pain, lumber pain, weight loss, hepatomegally, splenomegally and arthritis. The multiple and non-specific features of brucellosis contribute to difficulties in the diagnosis of brucellosis in areas where diseases with similar clinical features such as malaria, tuberculosis, typhoid and joint diseases co-exist [1, 2].
Although generally speaking, any member of the public is at risk of getting brucellosis through consumption of poorly prepared dairy products in the form of meat, milk, cheese and butter, certain occupations such as veterinarians, butchers, abattoir workers, meat inspectors, farmers and those working in meat packing and dairy processing industries are known to be at a greater risk [3, 4].
In many sub-Sahara African countries, febrile or flu-like conditions with similar manifestations occur commonly and have significantly contributed to difficulties in the diagnoses of such diseases as brucellosis, typhoid, malaria, amoeba and tuberculosis [5, 6]. In Narok, Kenya, 12% of flu-like patients were diagnosed using the RBPT as brucellosis patients and 40% typhoid patients . In Kampala, Uganda, of patients with joint pain, general malaise, and/or constant headache, 73% were found to be suffering from malaria and 13.3% from brucellosis .
Clinical features and laboratory investigation form the basis for the diagnosis of brucellosis in humans . The definitive diagnosis of brucellosis is by culture and isolation of the causative organisms. However, the procedure requires special media, takes several weeks of incubation and has low sensitivity [9, 10]. The laboratory diagnosis of brucellosis therefore often depends on serologic tests. These include the Serum Agglutination Tests (SAT) , the Complement Fixation Test , the Fluoroscent Polarization Assay [13, 14] and the Enzyme-Linked immunosorbent Assays (ELISA) tests . Other tests include the radioimmunoassay , the indirect immunofluorescence assay , and the 2-mercaptoethanol test (2ME) .
In the sub-acute or chronic phase of brucellosis however, the agglutination tests may be particularly difficult to interpret or may be negative and other tests need to be done to confirm the results. This is because the serum agglutination test depends very much on the presence of IgM immunoglobulin that could be low or absent in chronic and sub-acute states. This also explains why the SAT is negative during the incubation period and following abortion .
The c-ELISA test for the detection of serum antibodies to the organisms of the genus Brucella has been shown to be a suitable test for human brucellosis . The c-ELISA test uses a monoclonal antibody (mAb) specific for a common and repeating epitope on the polysaccharide portion of the smooth lipopolysaccharide molecule of Brucella to compete with antibody in the sample. This results in an assay with higher specificity than other assays because it frequently eliminates cross-reactions with other antigens while retaining its high sensitivity. The c-ELISA test therefore could be adopted as the confirmatory test for human brucellosis .
Most of the hospital laboratories in rural sub-Saharan Africa have limited capacity for the diagnosis of brucellosis. Brucellosis is commonly diagnosed after failure to respond to malaria, typhoid or tuberculosis treatments [20, 21]. In the current study, it was observed that serological diagnosis was only conducted in districts or designated district hospitals. In Kenya, local clinics were conducting the RBPT, but additional tests such as the SAT were only conducted in central veterinary or medical testing facilities [7, 20]. Most of these facilities are not easily accessible to the majority of people in rural areas of Africa due to their geographical location and poor infrastructure.
Brucellosis caused by B. melitensis is the most important clinically apparent disease in humans and is the one usually associated with occupational exposure or consumption of poorly prepared dairy products , followed by infection with B. abortus and by B. suis. Because of its greater severity, infections with B. melitensis are generally considered more likely to be diagnosed than infection with other Brucella species .
Health-seeking behaviour of patients suffering from infectious and non-infectious diseases have been evaluated in many parts of Africa. These include those suffering from tuberculosis [24–27], sleeping sickness  and non-infectious diseases . Factors that determine when patients get hospital treatment vary from the patients' own reasons to those due to health providers. Patient factors include expectations that the symptoms might improve, visit to local traditional healer and self medication from a nearby drug shop or private clinic.
Other factors that have been documented as causing delay in patients seeking health facilities' treatment include the distance to the nearest health facility and socio-economic status. Some households are far from hospitals and poor infrastructure make accessibility to health care difficult. In areas where there is transportation, affordability of the costs of transport made patients unable to present to hospitals in time. Factors related to health provider included poor referral system, high work load and diagnostic difficulties [24–28]. The purpose of this study was to investigate factors that play role in determining when brucellosis cases present to hospital, where they go first to seek treatment and try to come up with most feasible solutions.
Study design, laboratory investigation and cases enrolment
This was designed as a longitudinal study. Any patient who presented to the hospitals between June 2002 and April 2003 with any of the clinical features including fever, headache, joint pain, malaise, backache, fatigue and loss of appetite was enrolled into the study by a practitioner attending the patient as a suspected brucellosis case. Other information such as personal particulars, data on clinical history, level of education, whether they keep livestock, economic status etc. were also recorded by an attending practitioner. Laboratory investigations at the health facilities using the rapid agglutination tests including the RBPT were conducted and patients were managed according to the clinical features and laboratory results. An aliquot of each sample was stored for c-ELISA test at the VLA in the UK. Any patient with any two or more of the clinical features such as fever, headache, joint pain, waist pain, backache, malaise, fatigue and tested positive with the c-ELISA test at the VLA was defined as a brucellosis case.
Distance to the nearest hospital
The GIS coordinates of the households and of the hospitals were recorded from a hand-held Garmin® GPS machine. All coordinates were then transferred to Excel 2003 spreadsheets (Microsoft Corporation, Redmond, Washington, USA) and the distance between the hospitals and the households calculated in kilometers using ArcGIS 9 software (ESRI, Redlands, California).
Due to time constraints and difficulties in accessing brucellosis cases, the principal investigator was able to collect data on health-seeking behavior for 49 cases. Patient delay was defined as the time interval between the development of first symptoms of brucellosis to the time the case presented to hospital. Thirty days since the onset of first symptoms was taken as the cut-off point during which any patient with brucellosis symptoms was supposed to have presented to hospital for diagnosis and treatment . All cases who presented to hospital 30 days or more after the onset of the first symptoms were defined as delayed going to hospital and those who presented earlier than 30 days not delayed.
Data were entered on Excel 2003 spreadsheets (Microsoft Corporation, Redmond, Washington, USA) and analyzed using Minitab version 1.4 (Minitab Inc. 2000, Release 14 for Windows, State College, Pennsylvania). Chi-square tests were used to analyze all data and Fisher's exact test was used where 2 × 2 tabular results were obtained with any expected counts of less than 5. A p-value of < 0.05 was considered statistically significant. In multivariate analysis, Minitab version 1.4 was used to run logistic regression analysis. A backward stepwise method was used to find the best suite of variables (model simplification). The least significant variables were considered first for removal. Any variables that caused an insignificant increase in deviance on removal from the model was left out of the model while the variable that caused a significant increase in deviance on removal was retained in the model.
The study was peer reviewed and cleared for ethics by the Medical Research Coordinating Committee of the National Institute for Medical Research in the Republic of Tanzania. Verbal consent was also sought from all the patients before they were enrolled into the study and before any diagnostic procedure was conducted.
Of the 1586 samples that were collected from suspected brucellosis patients over a ten-month period and sent to VLA for the c-ELISA test, 98 (6.2%) tested positive for brucellosis. These 98 cases were considered to be confirmed positive cases.
Patient delay and treatment delay
Site of first treatment
The majority of brucellosis cases 43 (87.7%) gave a history of going to hospital as the first point of care, five (10.2%) purchased drugs from a nearby drug shop before going to hospital and one patient (2%) went to a local traditional healer first
Factors responsible for patient delays
Univariate analysis of factors responsible for patient delay
95% confidence interval
Likelihood ratio p-value
Distance to village centre
Distance to hospital
Knowledge of brucellosis
Level of education
If any member of the household suffered from brucellosis
Final model of multivariate analysis of causes of patient delay
95% confidence interval
Distance to hospital
If keeps livestock
Knowledge of brucellosis
Cases that live far from hospitals were found to have a higher chance of delaying going to hospital compared to those living close to hospitals. In the study area, many households are far from health facilities and the infrastructures are still poor. Delay to present to hospital is therefore associated with how accessible the hospitals are. The government should try with little resources available to bring health care closer to the people particularly those in rural areas who make the majority of the population  and who form the workforce of the country.
Cases keeping livestock were also found to delay going to hospital. Possibly it was difficult for them to leave their livestock with nobody to attend to or they were too occupied with caring for the livestock causing them to have hardly any time to present to hospital. They probably presented to hospital when they were less engaged with caring for livestock. Since the majority of the people living in the study area keep livestock , awareness on the importance of going to hospital early requires considerable resources and commitment.
Cases with the knowledge of how brucellosis is transmitted and how it manifests also delayed going to hospital. Brucellosis is known to run a chronic course with some of the symptoms that may not be very severe at the onset and a fatality rate of 0.2% if untreated [32–34]. This could explain the reason why cases with the knowledge of brucellosis delayed going to hospital.
In the present study, the majority of brucellosis cases presented to hospital with a long history of symptoms. Some of the cases had been to hospital several times and had received treatment for other diseases such as malaria before being diagnosed as suffering from brucellosis. It became apparent that persistence of symptoms rather than the severity of the symptoms was the main complaint of brucellosis cases.
As a result of false negative results, 22 (44.8%) brucellosis cases were not diagnosed at the hospitals on their first presentations. These were treated for other diseases such as malaria which is much more common in the study area than brucellosis and hence they continued to suffer from brucellosis. The delay to present to hospitals could have caused brucellosis to turn into chronic form which could not be detected by the agglutinations tests performed at the hospitals .
The majority of the cases (87.8%) first sought treatment at a hospital and a few either treated themselves at home by buying medicine from a nearby drug shop (10.2%) or attended to a local traditional healer (2%). In the study area, a purely private health system has not been fully established, the majority of patients therefore, go to public hospitals which are run by government or religious groups (missionary hospitals). It was hence unlikely for cases to be delayed in private commercial health providers such as those found in urban areas. Studies conducted elsewhere on the causes of patients suffering form different to delay to present to hospital established that patients spent longer periods seeking treatment from traditional healers, profit making or private hospitals or delayed due to poor referral systems. This caused their financial resources to be wasted at times without getting proper treatment [24, 35, 36].
More efforts need to be put on improving the accessibility of health facilities to the rural poor people who succumb to most of the diseases including zoonoses. Health education to the public should also include emphasis on patients to present to hospital early when chronic clinical features and complications have not developed as late presentation may carry poor prognosis even after treatment.
We would like to thank all the field staff in Arusha and Manyara regions for their co-operation. Thanks should particularly go to the staff of selected hospitals, and all individuals who agreed to participate in the study. Last but not least we would like to extend our sincere appreciation to the DFID for funding the study.
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