Evidence map›Paper›PMID 37178434›Full record

ArticlePharmacoEconomics - open2023

Cost Effectiveness of Strategies for Caring for Critically Ill Patients with COVID-19 in Tanzania.

Hiral Anil Shah, Tim Baker, Carl Otto Schell, August Kuwawenaruwa, Khamis Awadh, Karima Khalid, Angela Kairu, Vincent Were, Edwine Barasa, Peter Baker and 1 more

Abstract read
In one paragraph

Article in PharmacoEconomics - open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
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  9. 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

11 authors.

Hiral Anil ShahCenter for Global Development, London, UK.ORCID http://orcid.org/0000-0003-0204-451X
Tim BakerDepartment of Clinical Research, London School of Hygiene and Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0001-8727-7018
Carl Otto SchellDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-7904-1336
August KuwawenaruwaIfakara Health Institute, Dar es Salaam, Tanzania.ORCID http://orcid.org/0000-0001-8459-443X
Khamis AwadhIfakara Health Institute, Dar es Salaam, Tanzania.
Karima KhalidIfakara Health Institute, Dar es Salaam, Tanzania.ORCID http://orcid.org/0000-0001-9917-9853
Angela KairuHealth Economics Research Unit, KEMRI Wellcome Trust Research Programme, Nairobi, Kenya.ORCID http://orcid.org/0000-0002-0965-4460
Vincent WereHealth Economics Research Unit, KEMRI Wellcome Trust Research Programme, Nairobi, Kenya.ORCID http://orcid.org/0000-0002-3554-795X
Edwine BarasaHealth Economics Research Unit, KEMRI Wellcome Trust Research Programme, Nairobi, Kenya.ORCID http://orcid.org/0000-0001-5793-7177
Peter BakerCenter for Global Development, London, UK.ORCID http://orcid.org/0000-0001-9028-9976
Lorna GuinnessCenter for Global Development, London, UK. lornaguinness@gmail.com.ORCID http://orcid.org/0000-0002-1013-4200

Funding

Wellcome TrustWellcome Trust 221571/Z/20/Z
6 · The paper itself

Abstract

backgroundThe resources for critical care are limited in many settings, exacerbating the significant morbidity and mortality associated with critical illness. Budget constraints can lead to choices between investing in advanced critical care (e.g. mechanical ventilators in intensive care units) or more basic critical care such as Essential Emergency and Critical Care (EECC; e.g. vital signs monitoring, oxygen therapy, and intravenous fluids).

methodsWe investigated the cost effectiveness of providing EECC and advanced critical care in Tanzania in comparison with providing 'no critical care' or 'district hospital-level critical care' using coronavirus disease 2019 (COVID-19) as a tracer condition. We developed an open-source Markov model ( https://github.com/EECCnetwork/POETIC_CEA ) to estimate costs and disability-adjusted life-years (DALYs) averted, using a provider perspective, a 28-day time horizon, patient outcomes obtained from an elicitation method involving a seven-member expert group, a normative costing study, and published literature. We performed a univariate and probabilistic sensitivity analysis to assess the robustness of our results. ,

resultsEECC is cost effective 94% and 99% of the time when compared with no critical care (incremental cost-effectiveness ratio [ICER] $37 [-$9 to $790] per DALY averted) and district hospital-level critical care (ICER $14 [-$200 to $263] per DALY averted), respectively, relative to the lowest identified estimate of the willingness-to-pay threshold for Tanzania ($101 per DALY averted). Advanced critical care is cost effective 27% and 40% of the time, when compared with the no critical care or district hospital-level critical care scenarios, respectively.

conclusionFor settings where there is limited or no critical care delivery, implementation of EECC could be a highly cost-effective investment. It could reduce mortality and morbidity for critically ill COVID-19 patients, and its cost effectiveness falls within the range considered 'highly cost effective'. Further research is needed to explore the potential of EECC to generate even greater benefits and value for money when patients with diagnoses other than COVID-19 are accounted for.

Identifiers

PMID37178434
PMCPMC10181924

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.