The objective of this study was to assess the validity of a Kiswahili translation of the SF-36 Health Survey (SF-36) among an urban population in Tanzania, using the method of known-groups validation. People were randomly selected from a demographic surveillance system in Dar es Salaam. The representative sample consisted of 3,802 adults (15 years and older). Health status differences were hypothesized among groups, who differed in sex, age, socioeconomic status and self-reported morbidity. Mean SF-36 scale scores were calculated and compared using t-test and ANOVA. Women had significantly lower mean SF-36 scale scores (indicating worse health status) than men on all scales and scores were lower for older people than younger on all domains, as hypothesized. On five of the eight SF-36 scales, means were higher for people of higher socioeconomic status compared to those of lower socioeconomic status. People who reported an illness within the previous 2 weeks scored significantly lower on all scales compared to those who were healthy, as did people who said they had a disability or a chronic condition.
The objective of the study was to translate and adapt the SF-36 Health Survey for use in Tanzania and to test the psychometric properties of the Kiswahili SF-36. A cross-sectional study was conducted as part of a household survey of a representative sample of the adult population of Dar es Salaam, Tanzania. The IQOLA method of forward and backward translation was used to translate the SF-36 into Kiswahili. The translated questionnaire was administered by trained interviewers to 3,802 adults (50% women, mean (SD) age 31 (13) years, 50% married and 60% with primary education). Data quality and psychometric assumptions underlying the scoring of the eight SF-36 scales were evaluated for the entire sample and separately for the least educated subgroup (n = 402), using multitrait scaling analysis. Forward and backward translation procedures resulted in a Kiswahili SF-36 that was considered conceptually equivalent to the US English SF-36. Data quality was excellent: only 1.2% of respondents were excluded because they answered less than half of the items for one or more scales; ninety percent of respondents answered mutually exclusive items consistently. Median item-scale correlations across the eight scales ranged from 0.47 to 0.81 for the entire sample. Median scaling success rates were 100% (range 87.5-100.0). The median internal consistency reliability of the eight scales for the entire sample was 0.81 (range 0.70-0.92). Floor effects were low and ceiling effects were high on five of the eight scales. Results for n = 402 people without formal education did not differ substantially from those of the entire sample. The results of data quality and psychometric tests support the scoring of the eight scales using standard scoring algorithms. The Kiswahili translation of the SF-36 may be useful in estimating the health of people in Dar es Salaam. Evidence for the validity of the SF-36 for use in Tanzania needs to be accumulated.
SummaryOBJECTIVE OBJECTIVE To assess the costs of tuberculosis at household level in Dar es Salaam and to compare them with the provider costs of the national tuberculosis control programme. DESIGN D ESIGN Tuberculosis patients were found by active case searching within a routine census in three areas of Dar es Salaam, and by examining records for residents already receiving treatment. Costs at household level were evaluated through a cross-sectional household survey. RESULTS RESULTSOne hundred and ninety-one tuberculosis cases were included in the survey. With treatment periods of 8 to 12 months, extrapolated average costs of a period of illness to patients and their families were as follows: US $2 for examination and laboratory costs, between US $17 and US $50 for consultation and drugs, less than US $1 for hospitalization and between US $13 and US $20 for transport. The analysis revealed high costs due to inability to work, ranging from US $154 to US $1384. These data were compared with the operation costs of the tuberculosis programme and proved to comprise 68% to 94% of total costs. CONCLUSIO NSCONCLUSIONS For patients and their families, tuberculosis implies three main types of cost: drugs, transportation and, most importantly, ®nancial loss due to inability to work. They represent around two thirds of total cost and are a high economic burden for households, in particular those with a lowincome. While assessing tuberculosis control strategies such as direct case ®nding at home, it is therefore important to also include costs incurred at household level.
There is still controversy concerning the reference ranges for glucose tolerance tests in pregnancy. The WHO has recommended the universal use of the 75 g oral glucose load with 2-h post-load values of greater than 6.7 mmol l-1 to be considered impaired glucose tolerance (IGT) in the non-pregnant, and equivalent to gestational diabetes in the pregnant. Some data are available for pregnant Caucasians but little information is available for other ethnic groups. Oral glucose tolerance tests (75 g) have therefore been performed in 189 pregnant women in rural Tanzania. Mean fasting blood glucose values were 4.0 mmol l-1 in non-pregnant women, and 3.7, 3.5, and 3.3 mmol l-1 in pregnant women in the first, second, and third trimesters, respectively. Two-hour OGTT values were 4.7 mmol l-1, and 4.6, 4.5, and 4.2 mmol l-1 while the upper limit of normal values (mean + 2SD) were 7.1 mmol l-1, and 6.8, 6.8, and 6.1 mmol l-1. The 2-h glucose levels are therefore close to WHO recommendations but lower than those reported for Caucasians. By contrast with reports for Caucasians, glucose tolerance did not deteriorate during pregnancy. The prevalence of diabetes and IGT was zero in the pregnant group.
Objectives:To estimate the prevalence of active trachoma (TF) in children aged one to nine years and potentially blinding trachoma (TT) in adults aged 15 years and older in six known trachomaendemic districts in Kenya. Design: Community based survey. Setting: Six known trachoma endemic districts in Kenya (Samburu, Narok, West Pokot, Kajiado Baringo and Meru North). Subjects: A total of 6,982 children aged one to nine years and 8,045 adults aged 15 years and older were randomly selected in a two stage random cluster sampling method: Twenty sub-locations (clusters) per district and three villages per sub-location were randomly selected. Eligible children and adults were enumerated and examined for signs of trachoma. Results: Blinding trachoma was found to be a public health problem in all the surveyed districts. Active trachoma was a district wide public health problem in four districts (Samburu, Narok, West Pokot and Kajiado) and only in some of the sub-locations of the other two (Baringo and Meru North). Conclusions: There is need for district trachoma control programmes preferably using the WHO recommended SAFE strategy in all the surveyed districts. Extrapolation of these survey results to the entire country could not be justified. There is need to survey the remaining 12 suspected endemic districts in Kenya.
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