Evidence map›Paper›PMID 26814377›Full record

ReviewJournal of clinical and diagnostic research : JCDR2015

Green Hospital and Climate Change: Their Interrelationship and the Way Forward.

Vardeep Singh Dhillon, Dilpreet Kaur

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of clinical and diagnostic research : JCDR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Ecological preferences and patient autonomy.Journal of medical ethics · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Developing Green Healthcare Activities in the Total Quality Management Framework.International journal of environmental research and public health · 2022
    Article
  17. Article
  18. Review
  19. Article
  20. Article
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

2 authors.

Vardeep Singh DhillonAssistant Professor (Hospital Administration), Department of Sports Medicine and Physiotherapy, Guru Nanak Dev University , Amritsar, Punjab, India .
Dilpreet KaurConsultant Endodontist, Garewal Hospital and Trauma Care Centre , Amritsar, Punjab, India .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change is a reality, and the modern healthcare sector not just contributes towards this grave phenomenon but is itself being affected by it. The present review was thus conducted to understand the meaning of 'Green Hospital', to identify the many ways in which health sector is contributing towards climate change, to explore possibilities for countering this grave trend and last of all to look for institutions that are pioneering change. Data for the review was extracted from multiple online sources using the Google search engine. It was found that hospitals, being resource intensive establishments, consume vast amounts of electricity, water, food and construction materials to provide high quality care. It was also found that certain healthcare institutions, by employing simple, smart and sustainable measures can greatly reduce their environmental footprint. But constructing Green Hospitals can be a challenge considering the local conditions and growing customer expectations.

Indexed as

Environmental footprintResource intensive

Identifiers

PMID26814377
PMCPMC4717717

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.