ArticleAnales del sistema sanitario de Navarra2025
Six Sigma research in healthcare is associated with global health, research and development indicators: A scientometrics study based on countries by income groups.
Article in Anales del sistema sanitario de Navarra, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Measuring scientific coherence between global neglected tropical disease research and population health indicators: a 25-year meta-research study.Frontiers in research metrics and analytics · 2026Article
- Estimating scientific coherence using population-level indicators and research production data: a longitudinal analytical proof-of-concept study.Frontiers in research metrics and analytics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSix Sigma is widely implemented in healthcare to enhance efficiency, minimize medical errors, and improve patient safety. However, the global distribution and impact of Six Sigma research in healthcare remain underexplored. This study conducts a scientometrics analysis of Six Sigma research in healthcare, examining its association with global health, research, and development indicators across income groups. METHODOLOGY: A mixed-methods scientometrics study was employed, utilizing data from Scopus, PubMed, and other databases. Regression models and meta-analyses were applied to evaluate associations between Six Sigma research productivity and global health, research and development indicators. Publications were categorized by World Bank income groups, and bibliometric parameters such as impact were analysed.
resultsA total of 804 Six Sigma-related publications in healthcare were identified, with high-income countries contributing 70.8% of the total output. The number of publications was significantly associated with adult mortality reduction in high- and upper-middle income countries (p <0.01). Research and development expenditure showed a strong positive correlation with Six Sigma research output across all income groups. However, low-income countries exhibited minimal research activity, with no significant associations detected.
conclusionsSix Sigma research in healthcare is predominantly concentrated in high-income countries, with increasing but uneven growth in upper-middle and low-middle income countries. The limited engagement of low-income countries underscores a critical research gap.
Indexed as
Identifiers
What Socratic 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 Socratic graph.