A Multidimensional Poverty Index for Gauteng Province, South Africa: Evidence from Quality of Life Survey Data

2015 ◽  
Vol 130 (1) ◽  
pp. 277-303 ◽  
Author(s):  
Darlington Mushongera ◽  
Precious Zikhali ◽  
Phindile Ngwenya
Keyword(s):  
Quality Of Life ◽  
South Africa ◽  
Survey Data ◽  
Multidimensional Poverty ◽  
Poverty Index ◽  
Gauteng Province ◽  
Multidimensional Poverty Index

Towards a Universal Social Impact Metric for Engineered Products That Alleviate Poverty

2017 ◽  
Author(s):  
Phillip D. Stevenson ◽  
Christopher A. Mattson ◽  
Kenneth M. Bryden ◽  
Nordica A. MacCarty
Keyword(s):  
Quality Of Life ◽  
Developing Countries ◽  
Social Impact ◽  
Multidimensional Poverty ◽  
Social Impacts ◽  
Five Dimensions ◽  
Multidimensional Poverty Index ◽  
The Social ◽  
The Impact

More than ever before, engineers are creating products for developing countries. One of the purposes of these products is to improve the consumer’s quality of life. Currently, there is no established method of measuring the social impact of these types of products. As a result, engineers have used their own metrics to assess their product’s impact, if at all. Some of the common metrics used include products sold and revenue, which measure the financial success of a product without recognizing the social successes or failures it might have. In this paper we introduce a potential metric, the Product Impact Metric (PIM), which quantifies the impact a product has on impoverished individuals — especially those living in developing countries. It measures social impact broadly in five dimensions: health, education, standard of living, employment quality, and security. The PIM is inspired by the Multidimensional Poverty Index (MPI) created by the United Nations Development Programme. The MPI measures how the depth of poverty within a nation changes year after year, and the PIM measures how an individual’s quality of life changes after being affected by an engineered product. The Product Impact Metric can be used to predict social impacts (using personas that represent real individuals) or measure social impacts (using specific data from products introduced into the market).

scholarly journals Predictors of quality of life among community psychiatric patients in a peri-urban district of Gauteng province, South Africa

2018 ◽  
Vol 24 ◽  
Author(s):  
Dumakazi Mapatwana ◽  
Andrew Tomita ◽  
Jonathan Burns ◽  
Lesley Robertson
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
South Africa ◽  
Social Relationships ◽  
Psychiatric Symptoms ◽  
Psychiatric Patients ◽  
Community Dwelling ◽  
Gauteng Province ◽  
Community Psychiatric

Introduction: Few studies on quality of life (QoL) in the mentally ill population of South Africa have been conducted, but none in community-dwelling individuals. This study examined the QoL of psychiatric patients at community mental health clinics in Gauteng province of South Africa.Methods: A cross-sectional interview-based study was conducted on 121 adult patients attending community psychiatric clinics. To reduce the impact of acute psychiatric symptoms on subjective QoL, only clinically stable patients were included. Instruments used included the World Health Organization Quality of Life BREF domains (i.e. physical health, psychological health, social relationships and environment), the Brief Psychiatric Rating Scale (BPRS) for severity of illness and a socio-demographic and clinical questionnaire.Results: Just under half of the sample rated their overall QoL as good or very good. The strongest predictor of a poor QoL in all four domains was residual psychiatric symptomatology. The most severe BPRS scores were for the symptoms of depression, anxiety and somatic concern. Perceived social support significantly predicted a better QoL in the psychological, social relationships and environmental domains.Conclusion: This study highlights the negative impact of residual psychiatric symptoms on subjective QoL, and the importance of social support and enhancing QoL. If better QoL is the goal of care, then our findings highlight the importance of managing residual symptoms and promoting social support.

scholarly journals Predictors of quality of life among community psychiatric patients in a peri-urban district of Gauteng Province, South Africa

2019 ◽  
Vol 65 (4) ◽  
pp. 322-332
Author(s):  
Dumakazi Mapatwana ◽  
Andrew Tomita ◽  
Jonathan K Burns ◽  
Lesley J Robertson
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
South Africa ◽  
Psychiatric Symptoms ◽  
Psychiatric Patients ◽  
Community Dwelling ◽  
World Health ◽  
Gauteng Province ◽  
Community Psychiatric

Background: Few studies on quality of life (QoL) among people with mental illness have been conducted in South Africa, and none in community dwelling individuals. However, a greater understanding of subjective QoL may inform community-based medical, psychotherapeutic, or social interventions. This study examined the QoL, clinical and sociodemographic characteristics of psychiatric patients attending community mental health clinics in the Gauteng Province of South Africa. Methods: A cross sectional interview-based study was conducted with 121 adult patients attending community psychiatric clinics. To reduce the impact of acute psychiatric symptoms on subjective QoL, only clinically stable patients were included. Sociodemographic details and clinical characteristics were recorded. Subjective QoL was assessed using the World Health Organization QOL-Bref scale (WHOQOL-Bref), and severity of psychiatric illness measured with the Brief Psychiatric Rating Scale, expanded version 4.0 (BPRS-E). Results: Just over half of the sample rated their overall QoL as good or very good. Residual psychiatric symptomatology was the strongest predictor of a poor QoL in all four domains of the WHOQOL-Bref. The most severe BPRS scores were for the symptoms of depression, anxiety and somatic concern. Perceived social support significantly predicted a better QoL in the psychological, social relationships and environmental domains. Conclusion: This study highlights the negative impact of residual psychiatric symptoms on subjective QoL and the importance of social support in enhancing QoL.

scholarly journals Índice de pobreza humana municipal para Mato Grosso do Sul

2020 ◽  
Vol 8 (1) ◽  
pp. 47
Author(s):  
Francis Régis Gonçalves Mendes Barbosa ◽  
Cristiane de Matos Balsalobre ◽  
Claudia Maria Sonaglio
Keyword(s):  
Quality Of Life ◽  
Health Education ◽  
Multidimensional Poverty ◽  
Well Being ◽  
Regional Disparities ◽  
Poverty Index ◽  
Mato Grosso ◽  
The Social ◽  
Mato Grosso Do Sul

A identificação dos fatores que causam a pobreza multidimensional é imprescindível para a obtenção de uma visão apurada dos problemas enfrentados pela sociedade decorrentes desse problema. Nesse sentido, o objetivo geral foi mensurar a pobreza multidimensional e analisar a sua evolução para os municípios de Mato Grosso do Sul nos anos de 1991, 2000 e 2010. Foi criado o Índice de Pobreza Humana Municipal (IPHM) a partir das variáveis de saúde, educação e acesso a serviços básicos domiciliares. Os resultados apontam que os municípios de Japorã, Tacuru, Paranhos e Juti permanecem entre os mais pobres no período estudado. Os municípios de Campo Grande, Chapadão do Sul, São Gabriel do Oeste e Dourados permanecem entre os menos pobres. Conclui-se que houve melhoria no bem-estar social dos munícipes, como consequência de políticas públicas adotadas para o desenvolvimento e qualidade de vida da população. ABSTRACT The identification of the factors that cause the multidimensional poverty is essential for obtaining an accurate view of the problems faced by society arising from this reality. In this sense, the main objective was to measure the multidimensional poverty and to analyze its evolution for the municipalities of Mato Grosso do Sul in the years 1991, 2000 and 2010. The Municipal Human Poverty Index (MHPI) was created based on health, education and access to basic household services variables. The results indicate that the municipalities of Japorã, Tacuru, Paranhos and Juti remain among the poorest in the studied period. The municipalities of Campo Grande, Chapadão do Sul, São Gabriel do Oeste and Dourados remain among the poorest. It was concluded that there was an improvement in the social well-being of the counties, as consequence of public policies adopted for the development and quality of life of the population. Keywords: Multidimensional Poverty; Poverty Index; Regional Disparities.  

scholarly journals Tuberculosis patients with higher levels of poverty face equal or greater costs of illness

2019 ◽  
Vol 23 (11) ◽  
pp. 1205-1212 ◽  
Author(s):  
S. Erlinger ◽  
N. Stracker ◽  
C. Hanrahan ◽  
S. Nonyane ◽  
L. Mmolawa ◽  
...  
Keyword(s):  
South Africa ◽  
Multidimensional Poverty ◽  
Limpopo Province ◽  
Care Seeking ◽  
Poverty Index ◽  
Multidimensional Poverty Index ◽  
Targeted Interventions ◽  
Deprivation Score ◽  
Time Poverty ◽  
Reported Income

SETTING: Fifty-six public clinics in Limpopo Province, South Africa.OBJECTIVE: To evaluate the association between tuberculosis (TB) patient costs and poverty as measured by a multidimensional poverty index.DESIGN: We performed cross-sectional interviews of consecutive patients with TB. TB episode costs were estimated from self-reported income, travel costs, and care-seeking time. Poverty was assessed using the South African Multidimensional Poverty Index (SAMPI) deprivation score (a 12-item household-level index), with higher scores indicating greater poverty. We used multivariable linear regression to adjust for age, sex, human immunodeficiency virus status and travel time.RESULTS: Among 323 participants, 108 (33%) were ‘deprived' (deprivation score >0.33). For each 0.1-unit increase in deprivation score, absolute TB episode costs were 1.11 times greater (95%CI 0.97–1.26). TB episode costs were 1.19 times greater with each quintile of higher deprivation score (95%CI 1.00–1.40), but lower by a factor of 0.54 with each quintile of lower self-reported income (higher poverty, 95%CI 0.46–0.62).CONCLUSION: Individuals experiencing multidimensional poverty and the cost of tuberculosis illness in Limpopo, South Africa faced equal or higher costs of TB than non-impoverished patients. Individuals with lower self-reported income experienced higher costs as a proportion of household income but lower absolute costs. Targeted interventions are needed to reduce the economic burden of TB on patients with multidimensional poverty.

scholarly journals Measuring Vulnerability to Multidimensional Poverty

2019 ◽  
Vol 148 (1) ◽  
pp. 67-103 ◽  
Author(s):  
Mauricio Gallardo
Keyword(s):  
Multidimensional Poverty ◽  
Risk Behaviour ◽  
Poverty Measurement ◽  
Multidimensional Space ◽  
Poverty Index ◽  
Cross Sectional ◽  
Multidimensional Poverty Index ◽  
Wide Range ◽  
Vulnerability Indicators ◽  
Vulnerability To Poverty

Abstract A method to measure vulnerability to multidimensional poverty is proposed under a mean–risk behaviour approach. We extend the unidimensional downside mean–semideviation measurement of vulnerability to poverty towards the multidimensional space by incorporating this approach into Alkire and Foster’s multidimensional counting framework. The new approach is called the vulnerability to multidimensional poverty index (VMPI), alluding to the fact that it can be used to assess vulnerability to poverty measured by the multidimensional poverty index (MPI). The proposed family of vulnerability indicators can be estimated using cross-sectional data and can include both binary and metric welfare indicators. It is flexible enough to be applied for measuring vulnerability in a wide range of MPI designs, including the Global MPI. An empirical application of the VMPI and its related indicators is illustrated using the official MPI of Chile as the reference poverty measurement. The estimates are performed using the National Socioeconomic Characterisation Survey (CASEN) for the year 2017.

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