Evidence map›Paper›PMID 32742940›Full record

ArticleAnnals of global health2020

Cost-Utility of Intermediate Obstetric Critical Care in a Resource-Limited Setting: A Value-Based Analysis.

Claudia Marotta, Francesco Di Gennaro, Luigi Pisani, Vincenzo Pisani, Josephine Senesie, Sarjoh Bah, Michael M Koroma, Claudia Caracciolo, Giovanni Putoto, Fabio Amatucci and 1 more

Abstract read
In one paragraph

Article in Annals of global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Article
  3. Antimicrobial Resistance in Sub-Saharan Africa: A Comprehensive Landscape Review.The American journal of tropical medicine and hygiene · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Malaria and COVID-19: Common and Different Findings.Tropical medicine and infectious disease · 2020
    Article
  9. 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

11 authors.

Claudia MarottaSection of Operational Research, Doctors with Africa Cuamm, Padova, IT.
Francesco Di GennaroSection of Operational Research, Doctors with Africa Cuamm, Padova, IT.
Luigi PisaniDepartment of Intensive Care, Amsterdam University Medical Centers, Location AMC, Amsterdam, NL.
Vincenzo PisaniPrincess Christian Maternity Hospital, University of Sierra Leone, Freetown, SL.
Josephine SenesiePrincess Christian Maternity Hospital, University of Sierra Leone, Freetown, SL.
Sarjoh BahPrincess Christian Maternity Hospital, University of Sierra Leone, Freetown, SL.
Michael M KoromaPrincess Christian Maternity Hospital, University of Sierra Leone, Freetown, SL.
Claudia CaraccioloPrincess Christian Maternity Hospital, University of Sierra Leone, Freetown, SL.
Giovanni PutotoSection of Operational Research, Doctors with Africa Cuamm, Padova, IT.
Fabio AmatucciDepartment of Law, Economics, Management and Quantitative Methods (DEMM), University of Sannio, IT.
Elio BorgonoviCentre for Research on Health and Social Care Management (CERGAS), Bocconi University, IT.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sierra Leone faces among the highest maternal mortality rates worldwide. Despite this burden, the role of life-saving critical care interventions in low-resource settings remains scarcely explored. A value-based approach may be used to question whether it is sustainable and useful to start and run an obstetric intermediate critical care facility in a resource-poor referral hospital. We also aimed to investigate whether patient outcomes in terms of quality of life justified the allocated resources. Objective: To explore the value-based dimension performing a cost-utility analysis with regard to the implementation and one-year operation of the HDU. The primary endopoint was the quality-adjusted life-years (QALYs) of patients admitted to the HDU, against direct and indirect costs. Secondary endpoints included key procedures or treatments performed during the HDU stay. Methods: The study was conducted from October 2, 2017 to October 1, 2018 in the obstetric high dependency unit (HDU) of Princess Christian Maternity Hospital (PCMH) in Freetown, Sierra Leone. Findings: 523 patients (median age 25 years, IQR 21-30) were admitted to HDU. The total 1 year investment and operation costs for the HDU amounted to €120,082 - resulting in €230 of extra cost per admitted patient. The overall cost per QALY gained was of €10; this value is much lower than the WHO threshold defining high cost effectiveness of an intervention, i.e. three times the current Sierra Leone annual per capita GDP of €1416. Conclusion: With an additional cost per QALY of only €10.0, the implementation and one-year running of the case studied obstetric HDU can be considered a highly cost-effective frugal innovation in limited resource contexts. The evidences provided by this study allow a precise and novel insight to policy makers and clinicians useful to prioritize interventions in critical care and thus address maternal mortality in a high burden scenario.

Indexed as

Maternal MortalityQuality-Adjusted Life YearsAdministration, IntravenousAdultAnti-Bacterial AgentsAnticonvulsantsAntihypertensive AgentsBlood TransfusionCost-Benefit AnalysisCritical CareFemaleHealth ResourcesHospitals, High-VolumeHospitals, MaternityHospitals, UrbanHospital UnitsAnti-Bacterial AgentsAnticonvulsantsAntihypertensive AgentsMagnesium SulfateVasoconstrictor Agents

Identifiers

PMID32742940
PMCPMC7380057

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.