ArticleBMC health services research2014
On decreasing inequality in health care in a cost-effective way.
Article in BMC health services research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- The effect of an innovative payment method on inpatient volume and bed resources and their regional distribution: the case of a central province in China.International journal for equity in health · 2024Article
- Perceived Factors Influencing the Public Intention to Use E-Consultation: Analysis of Web-Based Survey Data.Journal of medical Internet research · 2021Article
- Comparison of inpatient distribution amongst different medical alliances in a county: a longitudinal study on a healthcare reform in rural China.International journal for equity in health · 2020Article
- The willingness of patients to make the first visit to primary care institutions and its influencing factors in Beijing medical alliances: a comparative study of Beijing's medical resource-rich and scarce regions.BMC health services research · 2019Article
- Clinical Impact Research - how to choose experimental or observational intervention study?Annals of medicine · 2016Article
- System impact research - increasing public health and health care system performance.Annals of medicine · 2016Article
- Concepts of social epidemiology in health services research.BMC health services research · 2015Article
- Benchmarking Controlled Trial--a novel concept covering all observational effectiveness studies.Annals of medicine · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundScientific evidence indicates that access to health care services shown effective is often poorer among the disadvantaged people than among the non-disadvantaged. Advancing cost-effectiveness and equality in obtaining services shown effective are often stated as the two main objectives for health care. DISCUSSION: The important question is how to decrease inequality in a most cost-effective way. Some evidence indicates that effectiveness and cost-effectiveness of interventions may be high among the disadvantaged patient groups. However, the relationship between decreasing inequality and cost-effectiveness is complex and depend e.g. on clinical and health care system factors. SUMMARY: To expand the knowledge base for advancing equality in a cost-effective way, scientific efforts on four levels are suggested: research into ways how practitioners can provide efficient services for the disadvantaged patients, widening of scope at all levels of evidence based medicine to account also for the disadvantaged, research on quality improvement and evidence implementation, as well as benchmarking research including documentation of services among the disadvantaged.
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.