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1.
Uganda Health Bulletin ; 9(3): 100-106, 2001.
Article in English | AIM (Africa) | ID: biblio-1273235

ABSTRACT

"The financial year 2001/2 is the second year of the Health Sector Strategic Plan (HSSP). It was agreed that the National Health Policy (NHP) and HSSP be implemented through Sector Wide Approach (SWAP). To quote; ""government shall promote a common framework to be used by all partners in the health sector for planning; budgeting and disbursement; programme management; support supervision; accounting; reporting; monitoring and evaluation"" (National health Policy 1999). For purposes of this paper; common planning; budgetingand disursement by the stakeholders are particularly pertinent. The modalities of funding for the HSSP are:- central budget support; district budget support; and projects. However ""It is expected that all partners will move towards central budget support as they wind up pipeline projects""."


Subject(s)
Health Expenditures , Health Policy , National Health Programs
2.
Health Transit Rev ; 7 Suppl: 175-88, 1997.
Article in English | MEDLINE | ID: mdl-10169643

ABSTRACT

The objective of the study was to establish the extent to which socio-economic status affects the acquisition of HIV. Data were collected in 1992 from 1784 respondents in Rakai district by the Rakai Project, with results for HIV serology and information on demographic, socio-economic and some behavioural variables. Level of education and urban residence were positively significantly related to HIV status both at bivariate and multivariate levels. Household wealth status was positively associated with HIV status at the bivariate level, but negatively related with HIV status at the multivariate level though not statistically significantly. Occupation was significantly associated with HIV status at the bivariate level and for one model at the multivariate level, but when occupation of the partner, travel destinations of partner and respondent, condom use and number of sexual partners in the previous year were introduced in a second model, occupation was not significantly related to HIV status.


PIP: Secondary 1992 data from the Rakai Project database on the HIV serology, demographic, socioeconomic, and some behavioral variables of 1784 respondents in Rakai district were used in this study to determine the extent to which socioeconomic status affects the acquisition of HIV. Higher level of education and urban residence were positively significantly related to positive HIV serostatus at the bivariate and multivariate levels. Relatively high household wealth status was positively associated with positive HIV serostatus at the bivariate level, but negatively related with HIV status at the multivariate level. The difference, however, was not statistically significant. Occupation was significantly associated with HIV status at the bivariate level and for one model at the multivariate level. However, when occupation of the partner, travel destinations of partner and respondent, condom use, and number of sex partners in the previous year were introduced into a second model, occupation was not significantly related to HIV status.


Subject(s)
HIV Seropositivity/epidemiology , Adolescent , Adult , Aged , Aged, 80 and over , Child , Demography , Female , Humans , Logistic Models , Male , Middle Aged , Multivariate Analysis , Odds Ratio , Sexual Behavior , Socioeconomic Factors , Uganda/epidemiology
3.
Health Transit Rev ; 7 Suppl: 157-74, 1997.
Article in English | MEDLINE | ID: mdl-10169642

ABSTRACT

The spread of HIV/AIDS is mostly through sexual intercourse and is largely influenced by behaviour and attitude. Data based on a sample of 1797 households are used to study changes in sexual behaviour and attitudes sickness and death in Ugandan communities, which were due to the realization that too many deaths were occurring in the community. Positive behaviour and attitudes include willingness to use condoms and go for HIV tests. Reasons for willingness and reluctance to test for HIV status are discussed. Changes of behaviour and attitude are significantly related to age, sex, education, ethnic group and number of AIDS patients and deaths known to a respondent.


Subject(s)
HIV Infections/psychology , Health Knowledge, Attitudes, Practice , Sexual Behavior , Adult , Ethnicity , Female , HIV Infections/prevention & control , Humans , Linear Models , Male , Middle Aged , Multivariate Analysis , Socioeconomic Factors , Uganda
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