EQ-5D-5L Population Norms and Health Inequality in Colombia

Bailey, Henry; Janssen, Mathieu F.; Varela, Rodrigo O.; Moreno, Jhon Alexander

doi:10.1016/j.vhri.2020.12.002

Cited by 14 publications

(8 citation statements)

References 29 publications

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“…Various regression models were used in the previously published population norms studies for the five countries: an ordinary least squares (OLS) model was developed for Trinidad and Tobago with EQ VAS as the dependent variable and age and gender as independent variables [ 16 ]. For Barbados, Belize, Colombia and Jamaica, generalized linear models (GLMs) with log-links and Poisson distributions were created with EQ VAS values as the dependent variable and various selected demographic variables as independent variables (different variables for each country) [ 14 , 15 , 17 ]. No GLMs were created for index values.…”

Section: Methodsmentioning

confidence: 99%

“…In 2014, the EQ-5D-5L questionnaire was included in the APS of another Caribbean Basin country, Belize. EQ-5D-5L population norms have been published for all five countries [14][15][16][17]. In this study, we evaluated EQ-5D-5L health inequality in these countries and compared the findings with other measures of health inequality that were available for these countries over the period 2012-2014.…”

Section: The Surveymentioning

confidence: 99%

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Evaluating Health Inequality in Five Caribbean Basin Countries Using EQ-5D-5L

Bailey

Janssen

Alladin

et al. 2022

Appl Health Econ Health Policy

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Background EQ-5D-5L is a standardized health outcomes instrument that can be added to national surveys to measure inequality in health outcomes. The aim of this study was to produce baseline values of health inequality using EQ-5D-5L for five countries in the Caribbean Basin region based on national surveys in 2012-2014. Methods The EQ-5D-5L questionnaire was included in adult population surveys of Barbados, Belize, Colombia, Jamaica and Trinidad and Tobago. EQ-5D-5L measures were calculated for demographic groups using stratifiers from the World Health Organization's PROGRESS-Plus framework, and generalized linear models were used to test for association between EQ-5D-5L and the PROGRESS-Plus variables. Ordered logit models were used to obtain odds ratios for the effect of the PROGRESS-Plus variables on reporting problems on the EQ-5D-5L dimensions. The Kakwani index was calculated for each country. Results Data were obtained for representative samples in each country, giving a combined total of 11,284 respondents. Different patterns of inequality were observed among the five countries. The biggest drivers of inequality were age and gender, and the biggest EQ-5D factors were self-care in Belize and pain/discomfort in the other four countries. Conclusion This study demonstrated that the EQ-5D-5L instrument can easily be added to national surveys. Inequality measures from this study can be used as baseline values for comparisons with future similar surveys in these five countries to infer changes in health inequality as measured by EQ-5D outcomes. These can be used to track the performance of policy initiatives aimed at specific demographic groups. Key Points for Decision MakersEQ-5D-5L is a standardized health outcomes instrument that can be added to national surveys to measure inequality in health outcomes.This study provides baseline values of inequality measures using EQ-5D-5L for five countries against which comparisons can be made with data from future studies.These can be used to track the performance of policy initiatives aimed at specific demographic groups.

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Section: Methodsmentioning

confidence: 99%

Section: The Surveymentioning

confidence: 99%

Evaluating Health Inequality in Five Caribbean Basin Countries Using EQ-5D-5L

Bailey

Janssen

Alladin

et al. 2022

Appl Health Econ Health Policy

Self Cite

View full text Add to dashboard Cite

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“…Furthermore, retrospective EQ-5D has been used previously in surveys for both COVID-19 [ 33 , 34 ] and other diseases [ 35 ]. Compared with prepandemic norms in countries where EQ-5D-5L population norms are available, in Australia [ 36 ], Canada [ 37 ], China [ 38 ], Colombia [ 39 ], Spain [ 40 ], and the US [ 6 ], our retrospective HRQoL values are relatively low, even when the country-specific value sets were used (i.e., the US). If there is some downward bias in our baseline population average HRQoL estimates, all else equal, this may at least have the advantage of helping to mitigate any upward bias in our estimates of HRQoL fall.…”

Section: Discussionmentioning

confidence: 99%

The COVID-19 pandemic and health-related quality of life across 13 high- and low-middle-income countries: A cross-sectional analysis

et al. 2023

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Background Most research on the Coronavirus Disease 2019 (COVID-19) health burden has focused on confirmed cases and deaths, rather than consequences for the general population’s health-related quality of life (HRQoL). It is also important to consider HRQoL to better understand the potential multifaceted implications of the COVID-19 pandemic in various international contexts. This study aimed to assess the association between the COVID-19 pandemic and changes in HRQoL in 13 diverse countries. Methods and findings Adults (18+ years) were surveyed online (24 November to 17 December 2020) in 13 countries spanning 6 continents. Our cross-sectional study used descriptive and regression-based analyses (age adjusted and stratified by gender) to assess the association between the pandemic and changes in the general population’s HRQoL, measured by the EQ-5D-5L instrument and its domains (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression), and how overall health deterioration was associated with individual-level (socioeconomic, clinical, and experiences of COVID-19) and national-level (pandemic severity, government responsiveness, and effectiveness) factors. We also produced country-level quality-adjusted life years (QALYs) associated to COVID-19 pandemic-related morbidity. We found that overall health deteriorated, on average across countries, for more than one-third of the 15,480 participants, mostly in the anxiety/depression health domain, especially for younger people (<35 years old) and females/other gender. This translated overall into a 0.066 mean “loss” (95% CI: −0.075, −0.057; p-value < 0.001) in the EQ-5D-5L index, representing a reduction of 8% in overall HRQoL. QALYs lost associated with morbidity were 5 to 11 times greater than QALYs lost based on COVID-19 premature mortality. A limitation of the study is that participants were asked to complete the prepandemic health questionnaire retrospectively, meaning responses may be subject to recall bias. Conclusions In this study, we observed that the COVID-19 pandemic was associated with a reduction in perceived HRQoL globally, especially with respect to the anxiety/depression health domain and among younger people. The COVID-19 health burden would therefore be substantially underestimated if based only on mortality. HRQoL measures are important to fully capture morbidity from the pandemic in the general population.

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“… [25] , [26] , [27] , [28] We use the average Colombian general population utility of 0·953 for Susceptible and Recovered states. 29 The utility of symptomatic infected individuals was reduced according to disutility weights obtained from patients experiencing influenza infection. 25 , 27 The disutility weight was applied only for the duration of infection, except for the dead cases, who have a utility equals to zero from the day of death.…”

Section: Methodsmentioning

confidence: 99%