ArticleJournal of education and health promotion2021
Health-care determinants of mortality and recovered cases from COVID-19: Do heath systems respond COVID-19 similarly?
Article in Journal of education and health promotion, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Understanding the relationships between health spending, treatable mortality and economic productivity in OECD countries.Frontiers in public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe COVID-19 pandemic has spread rapidly across the world and has currently impacted most countries and territories globally. This study aimed to identify health-care determinants of mortality and recovery rates of COVID-19 and compare the efficiency of health systems in response to this pandemic. MATERIALS AND
methodsA cross-sectional study was conducted using data obtained from the World Bank database, that provides free and open access to a comprehensive set of health- and socioeconomic-related data, by September 12, 2020. An adjusted linear regression model was applied to determine predictors of mortality (per 1 million population [MP]) and recovery rates (per 1 MP) in the included countries. One-way analysis of variance was applied to assess health systems' efficiency in response to COVID-19 pandemic using mortality and recovery rate (output variables) and current health expenditure (CHE) per capita (input variable).
resultsGlobally, San Marino and Qatar had the highest mortality rate (1237/1 MP) and confirmed case rate (43,280/1 MP) until September 12, 2020, respectively. Iran had a higher mortality rate (273/1 MP vs. 214.5/1 MP) and lower recovery rate (4091.5/1 MP vs. 6477.2/1 MP) compared to countries with high CHE per capita. CHE per capita (standardized coefficient [SC] = 0.605,
conclusionThis study revealed that countries with higher CHE per capita and higher proportion of older adults were more likely to have a higher recovery rate than those with lower ones. Furthermore, our study indicated that health systems with higher CHE per capita statistically had a greater efficiency in response to COVID-19 compared to those with lower CHE per capita. More attention to preventive strategies, early detection, and early intervention is suggested to improve the health system efficiency in controlling COVID-19 and its related mortalities worldwide.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.