Evidence map›Paper›PMID 25935737›Full record

ArticleBMC international health and human rights2015

Health and human rights: a statistical measurement framework using household survey data in Uganda.

Ronald Wesonga, Abraham Owino, Agnes Ssekiboobo, Leonard Atuhaire, Peter Jehopio

Abstract read
In one paragraph

Article in BMC international health and human rights, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ronald WesongaSchool of Statistics and Planning, Makerere University, Kampala, Uganda. wesonga@wesonga.com.
Abraham OwinoSchool of Statistics and Planning, Makerere University, Kampala, Uganda. ayowino@yahoo.co.uk.
Agnes SsekibooboSchool of Statistics and Planning, Makerere University, Kampala, Uganda. agssekiboobo@gmail.com.
Leonard AtuhaireSchool of Statistics and Planning, Makerere University, Kampala, Uganda. leonardatuhaire@gmail.com.
Peter JehopioSchool of Statistics and Planning, Makerere University, Kampala, Uganda. jehopio@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth is intertwined with human rights as is clearly reflected in the right to life. Promotion of health practices in the context of human rights can be accomplished if there is a better understanding of the level of human rights observance. In this paper, we evaluate and present an appraisal for a possibility of applying household survey to study the determinants of health and human rights and also derive the probability that human rights are observed; an important ingredient into the national planning framework.

methodsData from the Uganda National Governance Baseline Survey were used. A conceptual framework for predictors of a hybrid dependent variable was developed and both bivariate and multivariate statistical techniques employed. Multivariate post estimation computations were derived after evaluations of the significance of coefficients of health and human rights predictors.

resultsFindings, show that household characteristics of respondents considered in this study were statistically significant (p < 0.05) to provide a reliable assessment of human rights observance. For example, a unit increase of respondents' schooling levels results in an increase of about 34% level of positively assessing human rights observance. Additionally, the study establishes, through the three models presented, that household assessment of health and human rights observance was 20% which also represents how much of the entire continuum of human rights is demanded.

conclusionFindings propose important evidence for monitoring and evaluation of health in the context human rights using household survey data. They provide a benchmark for health and human rights assessments with a focus on international and national development plans to achieve socio-economic transformation and health in society.

Indexed as

Family CharacteristicsHealth StatusHuman RightsFemaleHumansMaleSurveys and QuestionnairesUganda

Identifiers

PMID25935737
PMCPMC4429314

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