ArticleJournal of clinical and diagnostic research : JCDR2014
A review of literature to understand the complexity of equity, ethics and management for achieving public health goals in India.
Article in Journal of clinical and diagnostic research : JCDR, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Kangaroo mother care: using formative research to design an acceptable community intervention.BMC public health · 2018Trial
- Contemporary Universal Health Coverage in India - The Case of Federal State of Odisha (Orissa).Risk management and healthcare policy · 2023Article
- How much do government and households spend on an episode of hospitalisation in India? A comparison for public and private hospitals in Chhattisgarh state.Health economics review · 2022Article
- Comparing the average cost of outpatient care of public and for-profit private providers in India.BMC health services research · 2021Article
- Does the medical insurance system really achieved the effect of poverty alleviation for the middle-aged and elderly people in China? Characteristics of vulnerable groups and failure links.BMC public health · 2020Article
- The ASKSP Revised (ASKSP-R) as a Measure of ASD Knowledge for Professional Populations.Journal of autism and developmental disorders · 2020Article
- One health collaboration for a resilient health system in India: Learnings from global initiatives.One health (Amsterdam, Netherlands) · 2019Review
- Mapping healthcare systems: a policy relevant analytic tool.International health · 2017Article
- Challenges to the surveillance of non-communicable diseases--a review of selected approaches.BMC public health · 2015Review
- Involving private healthcare practitioners in an urban NCD sentinel surveillance system: lessons learned from Pune, India.Global health actionArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the context of inadequate public spending on health care in India (0.9% of the GDP); government liberalized its policies in the form of subsidized lands and tax incentives, resulting in the mushrooming of private hospitals and clinics in India. Paradoxically, a robust framework was not developed for the regulation of these health care providers, resulting in disorganized health sector, inadequate financing models, and lack of prioritization of services, as well as a sub-optimal achievement of the Millennium Development Goals (MDG). We systematically reviewed the evidence base regarding regulation of private hospitals, applicability of private-public mix, state of health insurance and effective policy development for India, while seeking lessons on regulation of private health systems, from South African (a developing country) and Australian (a developed country) health care systems.
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.