Catastrophic Health Expenditure Before and After of the Implementation of Health Sector Evolution Plan

Objective: Methods: The data was collected through face-to-face interview during a single visit. The World Health Survey (WHS) questionnaire was completed by 400 households. The relationships between CHE and variables were examined by the Fisher exact tests, and the impacts of variables on CHE were assessed by logistic regression model. Methods: The data was collected through face-to-face interview during a single visit. The World Health Survey (WHS) questionnaire was completed by 400 households. The relationships between CHE and variables were examined by the Fisher exact tests, and the impacts of variables on CHE were assessed by logistic regression model. Results: The exposure of the households to CHE increased from 8.2% in 2011 to 14.25% in 2020, and percentage of the impoverished households due to health expenditures in 2020 was more than that in 2011(4.3% vs. 7.5%). The economic status, dental services and inpatients services were the key factor determining CHE. The most important determinant affecting the exposure to CHE was dental service utilization in 2011(92.64) and 2020(122.68). Conclusion: The results showed a negative incremental change for the households facing CHE in this period. The dental and inpatients services, as well as the presence of member ≥65 years and economic status were the key determining factors for CHE. The services need to be more widely covered by the basic health insurance and households having members ≥65 years and the poor households should be exempted from paying some of the healthcare expenditures for improving financial protection against CHE.

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Tuberculosis and Non-Communicable Disease Multimorbidity: An Analysis of the World Health Survey in 48 Low- and Middle-Income Countries

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18052439 ◽

2021 ◽

Vol 18 (5) ◽

pp. 2439

Author(s):

Brendon Stubbs ◽

Kamran Siddiqi ◽

Helen Elsey ◽

Najma Siddiqi ◽

Ruimin Ma ◽

...

Keyword(s):

Health Survey ◽

Low Income ◽

World Health ◽

Low Income Countries ◽

Multivariable Logistic Regression Analysis ◽

World Health Survey ◽

Middle Income ◽

Middle Income Countries ◽

The World ◽

Low And Middle Income

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.

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Coverage of the Brazilian population 18 years and older by private health plans: an analysis of data from the World Health Survey

Cadernos de Saúde Pública ◽

10.1590/s0102-311x2005000700013 ◽

2005 ◽

Vol 21 (suppl 1) ◽

pp. S119-S128 ◽

Cited By ~ 15

Author(s):

Francisco Viacava ◽

Paulo Roberto Borges de Souza-Júnior ◽

Célia Landmann Szwarcwald

Keyword(s):

Health Survey ◽

Demographic Variables ◽

World Health ◽

Health Plans ◽

World Health Survey ◽

Self Rated Health ◽

The World ◽

Use Of Services ◽

Formal Employment ◽

Household Assets

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.

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Sampling design for the World Health Survey in Brazil

Cadernos de Saúde Pública ◽

10.1590/s0102-311x2005000700010 ◽

2005 ◽

Vol 21 (suppl 1) ◽

pp. S89-S99 ◽

Cited By ~ 31

Author(s):

Mauricio Teixeira Leite de Vasconcellos ◽

Pedro Luis do Nascimento Silva ◽

Célia Landmann Szwarcwald

Keyword(s):

Health Survey ◽

Calibration Procedure ◽

World Health ◽

Sample Design ◽

World Health Survey ◽

Inclusion Probabilities ◽

The World ◽

Urban Rural ◽

Regional Estimates ◽

Respective Number

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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P04.10: A new logistic regression model for predicting ectopic pregnancies based on a single visit

Ultrasound in Obstetrics and Gynecology ◽

10.1002/uog.1384 ◽

2004 ◽

Vol 24 (3) ◽

pp. 290-290

Author(s):

E. Kirk ◽

G. Condous ◽

A. Khalid ◽

Z. Haider ◽

C. Lu ◽

...

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Logistic Regression Model ◽

Single Visit ◽

Ectopic Pregnancies

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Access to care and medicines, burden of health care expenditures, and risk protection: Results from the World Health Survey

Health Policy ◽

10.1016/j.healthpol.2010.08.004 ◽

2011 ◽

Vol 100 (2-3) ◽

pp. 151-158 ◽

Cited By ~ 77

Author(s):

Anita K. Wagner ◽

Amy Johnson Graves ◽

Sheila K. Reiss ◽

Robert LeCates ◽

Fang Zhang ◽

...

Keyword(s):

Health Care ◽

Access To Care ◽

Health Survey ◽

Health Care Expenditures ◽

World Health ◽

World Health Survey ◽

The World ◽

Risk Protection

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National income, self-reported wheezing and asthma diagnosis from the World Health Survey

European Respiratory Journal ◽

10.1183/09031936.00027509 ◽

2009 ◽

Vol 35 (2) ◽

pp. 279-286 ◽

Cited By ~ 58

Author(s):

G. Sembajwe ◽

M. Cifuentes ◽

S. W. Tak ◽

D. Kriebel ◽

R. Gore ◽

...

Keyword(s):

Health Survey ◽

National Income ◽

World Health ◽

Asthma Diagnosis ◽

World Health Survey ◽

The World

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Fifty years of violent war deaths from Vietnam to Bosnia: analysis of data from the world health survey programme

BMJ ◽

10.1136/bmj.a137 ◽

2008 ◽

Vol 336 (7659) ◽

pp. 1482-1486 ◽

Cited By ~ 61

Author(s):

Ziad Obermeyer ◽

Christopher J L Murray ◽

Emmanuela Gakidou

Keyword(s):

Health Survey ◽

World Health ◽

World Health Survey ◽

The World

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A Study on Significant Predictors for Prediction of Undiagnosed T2DM Using Binary Logistic Regression Model

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i4.30.22309 ◽

2018 ◽

Vol 7 (4.30) ◽

pp. 355

Author(s):

S. S. N. Zainal ◽

M. J. Masnan ◽

A. Ahmed ◽

N. A. M. Amin

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Logistic Regression Model ◽

Binary Logistic Regression ◽

World Health ◽

Binary Logistic Regression Model ◽

Premature Deaths ◽

The Many ◽

Health Organization

Type 2 Diabetes Mellitus (T2DM) is a chronic disease that can cause premature deaths worldwide. Malaysia is one of the many countries that facing this serious epidemic. The World Health Organization (WHO) has also estimated that Malaysia would have 2.8 million people having T2DM disease in 2030. This study aims to identify significant predictors for prediction of undiagnosed T2DM patients in one of the highest prevalence states of T2DM. Binary logistic regression model proposed to predict the presence of T2DM among undiagnosed respondents. The selection of significant predictors using univariate, multivariate and backward stepwise selection was implemented in this study. The study concludes that four predictors were found significant for prediction of undiagnosed T2DM patients.

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Factors predicting knowledge on COVID-19 misconceptions and perception of government efforts in Ghana: a cross-sectional study

International Journal of Scientific Reports ◽

10.18203/issn.2454-2156.intjscirep20203547 ◽

2020 ◽

Vol 6 (9) ◽

pp. 340

Author(s):

Emmanuel K. Bondah ◽

Daniel O. Agyemang

Keyword(s):

Social Media ◽

Logistic Regression ◽

Regression Model ◽

Logistic Regression Model ◽

Cross Sectional Study ◽

World Health ◽

Sectional Study ◽

Cross Sectional ◽

Level Of Knowledge ◽

The Government

Background: With the increasing rate of COVID-19 cases and mortality across the globe, countries and most people have adopted precautionary and preventive measures to avoid been infected with the disease. However, several trending myths and misconceptions also floods the world during this era.Methods: A cross-sectional study was conducted among 587 participants (53% males, 78% aged 18-30 years, and 74% having at least tertiary level education) in Ghana, using a convenience snowballing sampling approach. A self-designed questionnaire based on “World Health Organization (WHO) myth-busters” was used for data collection. A logistic regression model was developed to explore variables predicting misconceptions.Results: With about 75% of respondents believing they knew “a lot” about coronavirus, 41% (confidence interval: 37-45) reported a high level of knowledge on the new coronavirus misconceptions. Social media (87%), and television/radio (57%) were the major sources of knowledge. Masters/Ph.D. degree education, National democratic congress (NDC) political members, other political party members, excellent self-health ratings, social media, respondents that anticipate a remedy in 1-5 years, and the perception that the government is “not doing enough” in fighting the pandemic, were reported factors predicting knowledge in a multiple logistic regression model (p<0.05). Region of residence, political affiliation, self-health ratings, predicted time of remedy, and level of knowledge on covid-19 misconceptions were also associated with the perception of government efforts (p<0.05).Conclusion: Most Ghanaians have much belief in trending misinformation related to the pandemic. Public health education and campaigns should address these misconceptions and encourage the public to seek information from credible sources.

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