Demographic and health survey

"The 2005-2006 Zimbabwe Demographic and Health Survey (2005-06 ZDHS) was implemented by the Central Statistical Office (CSO) from August 2005 to March 2006. The 2005-06 ZDHS is one of a series of surveys undertaken by the CSO as part of the Zimbabwe National Household Survey Capability Programme (ZNHSCP). Macro International Inc. provided technical assistance and funding through the MEASURE DHS project, a USAIDfunded project providing support for the implementation of population and health surveys in countries worldwide. The Ministry of Health and Child Welfare (MOH&CW), the Zimbabwe Family Planning Council (ZNFPC) and the Musasa Project contributed significantly to the design, implementation, and analysis of the ZDHS results. Other agencies and organizations facilitating the successful implementation of the survey through technical and/or financial support include the Government of Zimbabwe, the National Microbiology Reference Laboratory (NMRL), the USAID/Zimbabwe Mission, the U.S. President's Emergency Plan for AIDS Relief (PEPFAR), the United Nations Population Fund (UNFPA), the United Nations Development Program (UNDP), the United Nations Children's Fund (UNICEF), the Centers for Disease Control and Prevention (CDC), and the United Kingdom Department for International Development (DFID). " - t.p. verso"March 2007."Also available via the World Wide Web.Includes bibliographical references (p. 297-298)

Complementary stereotyping of ethnic minorities predicts system justification in Poland

We investigate the phenomenon of complementary stereotyping of ethnic minorities in Poland and its relationship to system justification. Using results from a nationally representative survey we test the hypothesis that complementary stereotypes—according to which ethnic minorities are seen as possessing distinctive, offsetting strengths and weaknesses—would be associated with system justification among Polish majority citizens. For four minorities, results indicated that stereotyping them as (a) low in morality but high in competence or (b) high in morality but low in competence predicted greater system justification. These results suggest that even in a context that is low in support for the status quo, complementary stereotyping of ethnic minorities is linked to system justification processes. For the three minority groups that were lowest in social status, complementary stereotyping was unrelated to system justification. It appears that negative attitude towards these groups can be expressed openly, regardless of one’s degree of system justification

From social contract to 'social contrick' : the depoliticisation of economic policy-making under Harold Wilson, 1974–75

The 1974-79 Labour Governments were elected on the basis of an agreement with the TUC promising a redistribution of income and wealth known as the Social Contract. However, the Government immediately began to marginalise these commitments in favour of preferences for incomes policy and public expenditure cuts, which has led the Social Contract to be described as the 'Social Contrick'. These changes were legitimised through a process of depoliticisation, and using an Open Marxist framework and evidence from the National Archives, the paper will show that the Treasury's exchange rate strategy and the need to secure external finance placed issues of confidence at the centre of political debate, allowing the Government to argue there was no alternative to the introduction of incomes policy and the reduction of public expenditure

Explaining inconsistencies between data on condom use and condom sales

BACKGROUND: Several HIV prevention programs use data on condom sales and survey-based data on condom prevalence to monitor progress. However, such indicators are not always consistent. This paper aims to explain these inconsistencies and to assess whether the number of sex acts and the number of condoms used can be estimated from survey data. This would be useful for program managers, as it would enable estimation of the number of condoms needed for different target groups. METHODS: We use data from six Demographic and Health Surveys to estimate the total annual number of sex acts and number of condoms used. Estimates of the number of sex acts are based on self-reported coital frequency, the proportion reporting intercourse the previous day, and survival methods. Estimates of the number of condoms used are based on self-reported frequency of use, the proportion reporting condom use the previous day and in last intercourse. The estimated number of condoms used is then compared with reported data on condom sales and distribution. RESULTS: Analysis of data on the annual number of condoms sold and distributed to the trade reveals very erratic patterns, which reflect stock-ups at various levels in the distribution chain. Consequently, condom sales data are a very poor indicator of the level of condom use. Estimates of both the number of sexual acts and the number of condoms used vary enormously based on the estimation method used. For several surveys, the highest estimate of the annual number of condoms used is tenfold that of the lowest estimate. CONCLUSIONS: Condom sales to the trade are a poor indicator of levels of condom use, and are therefore insufficient to monitor HIV prevention programs. While survey data on condom prevalence allow more detailed monitoring, converting such data to an estimated number of sex acts and condoms used is not straightforward. The estimation methods yield widely different results, and it is impossible to determine which method is most accurate. Until the reliability of these various estimation methods can be established, estimating the annual number of condoms used from survey data will not be feasible. Collecting survey data on the number of sex acts and the number of condoms used in a fixed time period may enable the calculation of more reliable estimates of the number of sex acts and condoms used

How do Zimbabweans value health states?

Background Quality of life weights based on valuations of health states are often used in cost utility analysis and population health measures. This paper reports on an attempt to develop quality of life weights within the Zimbabwe context. Methods 2,384 residents in randomly selected small residential plots of land in a high-density suburb of Harare valued descriptors of 38 health states based on different combinations of the five domains of the EQ-5D (mobility, self-care, usual activities, pain or discomfort and anxiety or depression). The English version of the EQ-5D was used. The time trade-off method was used to determine the values, and 19,020 individual preferences for health states were analysed. A residual maximum likelihood linear mixed model was used to estimate a function for predicting the values of all possible combinations of levels on the five domains. The model was fit to a random subset of two-thirds of the observations, with the remaining observations reserved for analysis of predictive validity. The results were compared to a similar study undertaken in the United Kingdom. Results A credible model was developed to predict the values of states that were not valued directly. In the subset of observations reserved for validation, the mean absolute difference between predicted and observed values was 0.045. All domains of the EQ-5D were found to contribute significantly to the model, both at the moderate and severe levels. Severe pain was found to have the largest negative coefficient, followed by the inability to wash and dress oneself. Conclusion Despite a generally lower education level than their European counterparts, urban Zimbabweans appear to value health states in a consistent manner, and the determination of a global method of establishing quality of life weights may be feasible and valid. However, as the relative weightings of the different domains, although correlated, differed from the standard set of weights recommended by the EuroQol Group, the locally determined coefficients should be used within the Zimbabwean context