Quality health care is an essential human right, on the agenda of sustainable development and presents a challenge in the twenty-first century. There are different perspectives regarding the price ...and quality of health care, and it is necessary to review the quality health care issue and how it influenced by price. The aim of this study is to explore the different dimensions of health care quality, examine the association with technology, health care market characteristics, additional and optional services of health care, sustainability, and some exceptional situations. We performed the narrative review searching by key words by main search engine Google and followed by their mother publication and or any first web database. We found that health care is a service industry, needs basic standards and specialized human resources to perform the procedure, and quality health care is not associated with an extra price. The quality of health care assures sustainability. Likewise, there are some additional choices during certain procedures, and those may have different price options and would be linked with quality. So, those optional health care and basic health need to define separately.
Accelerated globalisation has substantially contributed to the rise of emerging markets worldwide. The G7 and Emerging Markets Seven (EM7) behaved in significantly different macroeconomic ways ...before, during, and after the 2008 Global Crisis. Average real GDP growth rates remained substantially higher among the EM7, while unemployment rates changed their patterns after the crisis. Since 2017, however, approximately one half of the worldwide economic growth is attributable to the EM7, and only a quarter to the G7. This paper aims to analyse the association between the health spending and real GDP growth in the G7 and the EM7 countries.
In terms of GDP growth, the EM7 exhibited a higher degree of resilience during the 2008 crisis, compared to the G7. Unemployment in the G7 nations was rising significantly, compared to pre-recession levels, but, in the EM7, it remained traditionally high. In the G7, the austerity (measured as a percentage of GDP) significantly decreased the public health expenditure, even more so than in the EM7. Out-of-pocket health expenditure grew at a far more concerning pace in the EM7 compared to the G7 during the crisis, exposing the vulnerability of households living close to the poverty line. Regression analysis demonstrated that, in the G7, real GDP growth had a positive impact on out-of-pocket expenditure, measured as a percentage of current health expenditure, expressed as a percentage of GDP (CHE). In the EM7, it negatively affected CHE, CHE per capita, and out-of-pocket expenditure per capita.
The EM7 countries demonstrated stronger endurance, withstanding the consequences of the crisis as compared to the G7 economies. Evidence of this was most visible in real growth and unemployment rates, before, during and after the crisis. It influenced health spending patterns in both groups, although they tended to diverge instead of converge in several important areas.
Children may be exposed to tobacco products in multiple ways if their parents smoke. The risks of exposure to secondhand smoke (SHS) are well known. This study aimed to investigate the association ...between parental smoking and the children's cotinine level in relation to restricting home smoking, in Korea.
Using the Korea National Health and Nutrition Health Examination Survey data from 2014 to 2017, we analyzed urine cotinine data of parents and their non-smoking children (n = 1,403), in whose homes parents prohibited smoking. We performed linear regression analysis by adjusting age, sex, house type, and household income to determine if parent smoking was related to the urine cotinine concentration of their children. In addition, analysis of covariance and Tukey's post-hoc tests were performed according to parent smoking pattern.
Children's urine cotinine concentrations were positively associated with those of their parents. Children of smoking parents had a significantly higher urine cotinine concentration than that in the group where both parents are non-smokers (diff = 0.933, P < .0001); mothers-only smoker group (diff = 0.511, P = 0.042); and fathers-only smoker group (diff = 0.712, P < .0001). In the fathers-only smoker group, the urine cotinine concentration was significantly higher than that in the group where both parents were non-smoker (diff = 0.221, P < .0001), but not significantly different compared to the mothers-only smoker group (diff = - -0.201, P = 0.388). Children living in apartments were more likely to be exposed to smoking substances.
This study showed a correlation between parents' and children's urine cotinine concentrations, supporting the occurrence of home smoking exposure due to the parents' smoking habit in Korea. Although avoiding indoor home smoking can decrease the children's exposure to tobacco, there is a need to identify other ways of smoking exposure and ensure appropriate monitoring and enforcement of banning smoking in the home.
Compared to other countries in the South Asia Nepal has seen a slow progress in the coverage of health insurance. Despite of a long history of the introduction of health insurance (HI) and a high ...priority of the government of Nepal it has not been able to push rapidly its social health insurance to its majority of the population. There are many challenges while to achieve universal health insurance in Nepal ranging from existing policy paralysis to program operation. This study aims to identify the enrollment and dropout rates of health insurance and its determinants in selected districts of Nepal.
The study was conducted while using a mixed method including both quantitative and qualitative approaches. Numerical data related to enrollment and dropout rates were taken from Health Insurance Board (HIB) of Nepal. For the qualitative data, three districts, Bardiya, Chitwan, and Gorkha of Nepal were selected purposively. Enrollment assistants (EA) of social health insurance program were taken as the participants of study. Focus group discussions (FGD) were arranged with the selected EAs using specific guidelines along with unstructured questions. The results from numerical data and focus group discussions are synthesized and presented accordingly.
The findings of the study suggested variation in enrollment and dropout of health insurance in the districts. Enrollment coverage was 13,545 (1%), 249,104 (5%), 1,159,477 (9%) and 1,676,505 (11%) from 2016 to 2019 among total population and dropout rates were 9121(67%), 110,885 (44%) and 444,967 (38%) among total enrollment from 2016 to 2018 respectively. Of total coverage, more than one-third proportion was subsidy enrollment-free enrollment for vulnerable groups. The population characteristics of unwilling and dropout in social health insurance came from relatively well-off families, government employees, businessman, migrants' people, some local political leaders as well as the poor class families. The major determinants of poor enrollment and dropout were mainly due to unavailability of enough drugs, unfriendly behavior of health workers, and indifferent behavior of the care personnel to the insured patients in health care facilities and prefer to take health service in private clinic for their own benefits. The long maturation time to activate health service, limited health package and lack of copayment in different types of health care were the factors related to inefficient program and policy implementation.
There is a high proportion of dropout and subsidy enrollment, the key challenge for sustainability of health insurance program in Nepal. Revisiting of existing HI policy on health care packages, more choices on copayment, capacity building of enrollment assistants and better coordination between health insurance board and health care facilities can increase the enrollment and minimize the dropout.
Demography, politics, economy, and governance appear to be the major structural factors for health and well-being. These factors have a significant role to play in achieving universal health coverage ...(UHC). The majority of previous studies did not highlight those factors. The aim of this study is to explore the basic structural factors (political stability, demography, gross national income, governance, and transparency) associated with a UHC index of low- and middle-income countries because for a long time there has be a stagnation achieving universal health coverage.
This study was a cross-sectional study applying multiple indices as variables. Low- and middle-income countries' selected indicators were the study variables. Data concerned the current political stability, sociodemographic status, gross national income (GNI), and governance status as independent variables and the UHC index of the countries as the dependent variable. Mean and standard deviations were used for the average values of the variables, a raw correlation was shown among variables and a hierarchical linear regression model was used for multi variate analysis.
Government health expenditure is 6% out of the total budget in upper middle countries (UMIC) and ~5% in lower middle countries (LMIC) and low-income countries (LIC), population below poverty line is more than 2-fold higher in LIC in comparison with high income countries, UHC index, and socio-demographic index (SDI) index is similar in LMIC and LIC and slightly higher in UMIC. There is a positive association between government health expenditure, governance index, stability index, the SDI index, and GNI per capita and a negative association between populations below poverty line with UHC index. According to our full regression analysis model, governance, stability, and SDI index were associated with a significantly increased UHC index by 0.33, 0.41, and 0.57 (
< 0.05).
To achieve UHC, good governance, political stability, and demographic balance are prerequisites and addressing these factors would help to meet by 2030 across countries.
Challenges and opportunities towards the road of universal health coverage (UHC) in Nepal: a systematic review' is a policy review paper and we published in BMC - Archives of Public Health. Policy ...research is the process of conducting research, analysis of, a fundamental social problem in order to provide policymakers with pragmatic, action-oriented recommendations for alleviating the problem. The objective of this paper is to illustrate some methodological issues used in that paper.
Background The coronavirus disease 2019 (COVID-19) pandemic has transitioned to a third phase and many variants have been originated. There has been millions of lives loss as well as billions in ...economic loss. The morbidity and mortality for COVID-19 varies by country. There were different preventive approaches and public restrictions policies have been applied to control the COVID-19 impacts and usually measured by Stringency Index. This study aimed to explore the COVID-19 trend, public restriction policies and vaccination status with economic ranking of countries. Methods We received open access data from Our World in Data. Data from 210 countries were available. Countries (n = 110) data related to testing, which is a key variable in the present study, were included for the analysis and remaining 100 countries were excluded due to incomplete data. The analysis period was set between January 22, 2020 (when COVID-19 was first officially reported) and December 28, 2021. All analyses were stratified by year and the World Bank income group. To analyze the associations among the major variables, we used a longitudinal fixed-effects model. Results Out of the 110 countries included in our analysis, there were 9 (8.18%), 25 (22.72%), 31 (28.18%), and 45 (40.90%) countries from low income countries (LIC), low and middle income countries (LMIC), upper middle income countries (UMIC) and high income countries (HIC) respectively. New case per million was similar in LMIC, UMIC and HIC but lower in LIC. The number of new COVID-19 test were reduced in HIC and LMIC but similar in UMIC and LIC. Stringency Index was negligible in LIC and similar in LMIC, UMIC and HIC. New positivity rate increased in LMIC and UMIC. The daily incidence rate was positively correlated with the daily mortality rate in both 2020 and 2021. In 2020, Stringency Index was positive in LIC and HIC but a negative association in LMIC and in 2021 there was a positive association between UMIC and HIC. Vaccination coverage did not appear to change with mortality in 2021. Conclusion New COVID-19 cases, tests, vaccinations, positivity rates, and Stringency indices were low in LIC and highest in UMIC. Our findings suggest that the available resources of COVID-19 pandemic would be allocated by need of countries; LIC and UMIC. Keywords: COVID-19, SARS-CoV-2, Mortality, Reproductive ratio, Stringency index, Vaccine
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