Socioeconomic Inequality in Health Domains in Oman: Evidence from Oman World Health Survey

2020 ◽  
Vol 5 (1) ◽  
pp. 12-18
Author(s):  
M. Mazharul Islam ◽  
◽  
Ahmed Al-Hadhrami
BMJ Open ◽  
2018 ◽  
Vol 8 (2) ◽  
pp. e018298 ◽  
Author(s):  
Vali Baigi ◽  
Saharnaz Nedjat ◽  
Ahmad Reza Hosseinpoor ◽  
Majid Sartipi ◽  
Yahya Salimi ◽  
...  

ObjectiveReduction of socioeconomic inequality in health requires appropriate evidence on health and its distribution based on socioeconomic indicators. The objective of this study was to assess socioeconomic inequality in various health domains and self-rated health (SRH).MethodsThis study was conducted using data collected in a survey in 2014 on a random sample of individuals aged 18 and above in the city of Tehran. The standardised World Health Survey Individual Questionnaire was used to assess different health domains. The age-adjusted prevalence of poor health was calculated for each health domain and SRH based on levels of education and wealth quintiles. Furthermore, the Slope Index of Inequality (SII) and the Relative Index of Inequality (RII) were applied to assess socioeconomic inequality in each of the health domains and SRH.ResultsThe age-adjusted prevalence of poor health was observed in a descending order from the lowest to the highest wealth quintiles, and from the lowest level of education to the highest. RII also showed varying values of inequality among different domains, favouring rich subgroups. The highest wealth-related RII was observed in the ‘Mobility’ domain with a value of 4.16 (95% CI 2.01 to 8.62), and the highest education-related RII was observed in the ‘Interpersonal Activities’ domain with a value of 6.40 (95% CI 1.91 to 21.36).ConclusionsSubstantial socioeconomic inequalities were observed in different health domains in favour of groups of better socioeconomic status. Based on these results, policymaking aimed at tackling inequalities should pay attention to different health domains as well as to overall health.


PLoS ONE ◽  
2012 ◽  
Vol 7 (8) ◽  
pp. e42843 ◽  
Author(s):  
Ahmad Reza Hosseinpoor ◽  
Lucy Anne Parker ◽  
Edouard Tursan d'Espaignet ◽  
Somnath Chatterji

2013 ◽  
Vol 103 (7) ◽  
pp. 1278-1286 ◽  
Author(s):  
Ahmad R. Hosseinpoor ◽  
Jennifer A. Stewart Williams ◽  
Jeny Gautam ◽  
Aleksandra Posarac ◽  
Alana Officer ◽  
...  

2005 ◽  
Vol 21 (suppl 1) ◽  
pp. S65-S77 ◽  
Author(s):  
Giseli Nogueira Damacena ◽  
Mauricio Teixeira Leite de Vasconcellos ◽  
Célia Landmann Szwarcwald

As part of the World Health Organization (WHO) project focused on assessing the performance of national health systems, the World Health Survey (WHS) was carried out in many member countries. In order to enable comparison of self-rated health between different cultures of the same country or between different nations, the WHS questionnaire included vignettes of sample cases, that is, hypothetical stories that describe the health problems of third parties. The objective of the present study is to evaluate the possibility of using vignette ratings to implement a socioeconomic calibration scale for self-rated health in Brazil. Using Brazilian WHS data, perceptions of state of health, measured through two different strategies (self-rating and vignette-rating), were compared. The effects of socioeconomic status (educational level and number of household assets) on health domain ratings were estimated via multiple regression models, controlled for age and sex. The effects of socioeconomic status were significant for the majority of health domains in the case of self-perception, but statistically null in the case of third party ratings. It is concluded that the WHO vignettes are not appropriate for calibrating self-rated health measures in Brazil.


Author(s):  
Brendon Stubbs ◽  
Kamran Siddiqi ◽  
Helen Elsey ◽  
Najma Siddiqi ◽  
Ruimin Ma ◽  
...  

Tuberculosis (TB) is a leading cause of mortality in low- and middle-income countries (LMICs). TB multimorbidity [TB and ≥1 non-communicable diseases (NCDs)] is common, but studies are sparse. Cross-sectional, community-based data including adults from 21 low-income countries and 27 middle-income countries were utilized from the World Health Survey. Associations between 9 NCDs and TB were assessed with multivariable logistic regression analysis. Years lived with disability (YLDs) were calculated using disability weights provided by the 2017 Global Burden of Disease Study. Eight out of 9 NCDs (all except visual impairment) were associated with TB (odds ratio (OR) ranging from 1.38–4.0). Prevalence of self-reported TB increased linearly with increasing numbers of NCDs. Compared to those with no NCDs, those who had 1, 2, 3, 4, and ≥5 NCDs had 2.61 (95% confidence interval (CI) = 2.14–3.22), 4.71 (95%CI = 3.67–6.11), 6.96 (95%CI = 4.95–9.87), 10.59 (95%CI = 7.10–15.80), and 19.89 (95%CI = 11.13–35.52) times higher odds for TB. Among those with TB, the most prevalent combinations of NCDs were angina and depression, followed by angina and arthritis. For people with TB, the YLDs were three times higher than in people without multimorbidity or TB, and a third of the YLDs were attributable to NCDs. Urgent research to understand, prevent and manage NCDs in people with TB in LMICs is needed.


2005 ◽  
Vol 21 (suppl 1) ◽  
pp. S119-S128 ◽  
Author(s):  
Francisco Viacava ◽  
Paulo Roberto Borges de Souza-Júnior ◽  
Célia Landmann Szwarcwald

This study analyzes data from the World Health Survey (WHS) conducted in 2003, with a sample of 5,000 individuals 18 years and older. Some 24.0% of the interviewees had private health insurance, and the main variables associated with private coverage were number of household assets, age, level of education, formal employment, living in municipalities with more than 50,000 inhabitants, and good self-rated health. The socioeconomic profiles of needs for and use of health services in the population covered by private health plans are different, confirming the findings of other studies reporting that this population segment as a whole presents better health conditions and greater use of services as compared to the population without private coverage, even after adjusting for socio-demographic variables and self-rated health. The WHS data also suggest that individuals with private health plans do not always use their insurance to pay for services, except in the case of mammograms.


2005 ◽  
Vol 21 (suppl 1) ◽  
pp. S89-S99 ◽  
Author(s):  
Mauricio Teixeira Leite de Vasconcellos ◽  
Pedro Luis do Nascimento Silva ◽  
Célia Landmann Szwarcwald

This paper describes the sample design used in the Brazilian application of the World Health Survey. The sample was selected in three stages. First, the census tracts were allocated in six strata defined by their urban/rural situation and population groups of the municipalities (counties). The tracts were selected using probabilities proportional to the respective number of households. In the second stage, households were selected with equiprobability using an inverse sample design to ensure 20 households interviewed per tract. In the last stage, one adult (18 years or older) per household was selected with equiprobability to answer the majority of the questionnaire. Sample weights were based on the inverse of the inclusion probabilities in the sample. To reduce bias in regional estimates, a household weighting calibration procedure was used to reduce sample bias in relation to income, sex, and age group.


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