Evidence map›Paper›PMID 31098543›Full record

ArticleFuture healthcare journal2018

Beyond financial efficiency to support environmental sustainability in economic evaluations.

Laure de Preux, Dheeya Rizmie

Open access · bronzeAbstract read
In one paragraph

Article in Future healthcare journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 38% of its field
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Points to consider for incorporating climate impacts into health economic evaluation.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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  14. On spillovers in economic evaluations: definition, mapping review and research agenda.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Review
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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

2 authors at 2 institutions in 1 country.

Laure de PreuxImperial College Business School, Imperial College London, London, UK.
Dheeya RizmieImperial College Business School, Imperial College London, London, UK.
Imperial College London · GBThe London College · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The healthcare sector is one of the largest polluters in the UK, accounting for 25% of total emissions of carbon dioxide of the public sector. Ironically, it is the healthcare sector itself that is primarily affected by any deterioration in the environment affecting individuals' health and their demand for healthcare. Therefore, the healthcare sector is a direct beneficiary of its own steps towards sustainability and is more and more viewed as the one who should lead the change. In this article, we first review the concepts of financial and environmental sustainability. Second, we discuss the existing evidence of sustainable changes within this sector. Third, we propose a simple adaptation of the classic cost-effectiveness analysis to incorporate carbon footprinting to account for these external costs. We illustrate our method using the case of in-centre versus home haemodialysis. We conclude that home dialysis is always a preferable alternative to in-centre treatment based on a cost-effectiveness analysis. Finally, we discuss the limitations of our approach and the future research agenda.

Indexed as

carbon footprintEconomic evaluation­environmental sustainabilityICER

Identifiers

PMID31098543
PMCPMC6502566
OpenAlexW2807386702

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.