Evidence map›Paper›PMID 30029607›Full record

ArticleGlobalization and health2018

Development of a richer measure of health outcomes incorporating the impacts of income inequality, ethnic diversity, and ICT development on health.

Rezwanul Hasan Rana, Khorshed Alam, Jeff Gow

Abstract read
In one paragraph

Article in Globalization and health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Healthy from the Start: Co-Designing Sleep, Nutrition and Physical Activity Resources for Young Shiftworkers-Novel Implementation and Evaluation.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Rezwanul Hasan RanaSchool of Commerce, University of Southern Queensland, West, Street, Toowoomba, Qld, 4350, Australia. rezwanul_54@yahoo.com.ORCID http://orcid.org/0000-0002-3347-3205
Khorshed AlamSchool of Commerce, University of Southern Queensland, West, Street, Toowoomba, Qld, 4350, Australia.
Jeff GowSchool of Commerce, University of Southern Queensland, West, Street, Toowoomba, Qld, 4350, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the literature, measuring health outcomes usually entails examining one dependent variable using cross-sectional data. Using a combination of mortality and morbidity variables, this study developed a new, richer measure of health outcome. Using the health outcome index, this study investigated the impacts of income inequality, levels of ethnic diversity and information and communication technology (ICT) development on health using panel data.

methodsPartial least squares regression based on a structural equation model is used to construct a health outcome index for 30 OECD countries over the period of 2004 to 2015 using SmartPLS software. Then, panel corrected standard errors estimation and pooled ordinary least square regression with Driscoll and Kraay standard errors approaches were used to investigate the key determinants of health outcomes. Both methods are efficient when the panel data is heteroscedastic and the errors are cross-sectional dependent.

resultsIncome inequality, level of ethnic diversity and development in ICT access and use have an adverse effect on health outcomes, however, development in ICT skills has a significant positive impact. Moreover, OECD countries with a higher percentage of publicly funded healthcare showed better public health compared to countries where the percentage is smaller. Finally, rising incomes, development of technologies and tertiary education are key determinants for improving health outcomes.

conclusionsThe results indicate that countries with higher levels of income inequality and more ethnically diverse populations have lower levels of health outcomes. Policymakers also need to recognise the adverse effect of ICT use on public health and the benefits of public healthcare expenditure.

Indexed as

Global HealthHealth Status DisparitiesCommunicationCultural DiversityEthnicityHumansInformation TechnologyOutcome Assessment, Health CareSocioeconomic FactorsEthnic diversityHealth outcomesICT developmentIncome inequalityOECDPanel dataPublic health expenditureSmartPLS

Identifiers

PMID30029607
PMCPMC6054722

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Registered trials

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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.