Evidence map›Paper›PMID 37950292›Full record

ArticleBMC research notes2023

Estimating the impact of improved management of haemophilia a on clinical outcomes and healthcare utilisation and costs.

Ravichandran Chandrasekaran, Mauro Dávoli, Zulaiha Muda, Uendy Pérez-Lozano, Naouel Salhi, Nakul Saxena, Ming-Ching Shen, HyeRyoung Haylee Song, Darintr Sosothikul, Veronica Soledad Soto-Arellano and 1 more

Abstract read
In one paragraph

Article in BMC research notes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Review
  2. 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.

Ravichandran ChandrasekaranDepartment of Paediatric Hematology & Oncology, Institute of Child Health and Hospital for Children, Madras Medical College, Chennai, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-9221-1264
Mauro DávoliRosario Hemophilia Fundación, Rosario-Santa Fé, Argentina.ORCID https://orcid.org/0000-0003-0584-1901
Zulaiha MudaPaediatric Department, Hospital Tunku Azizah Women Children Hospital, Kuala Lumpur, Malaysia.
Uendy Pérez-LozanoHematology Service, Unidad Médica de Alta Especialidad "Manuel Avila Camacho", Instituto Mexicano del Seguro Social, Puebla, Mexico.ORCID https://orcid.org/0000-0003-2425-2037
Naouel SalhiDepartment of Hematology, University Hospital of Constantine, Constantine, Algeria.
Nakul SaxenaTakeda Pharmaceuticals International AG Singapore Branch, Singapore, Singapore.ORCID https://orcid.org/0000-0002-6717-4975
Ming-Ching ShenDepartment of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan.ORCID https://orcid.org/0000-0001-7789-2148
HyeRyoung Haylee SongTakeda Pharmaceuticals International AG Singapore Branch, Singapore, Singapore. Haylee.Song@takeda.com.
Darintr SosothikulIntegrative and Innovative Hematology/Oncology Research Unit, Division of Hematology/Oncology, Department of Paediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.ORCID https://orcid.org/0000-0003-1097-3482
Veronica Soledad Soto-ArellanoDepartment of Hematology, Hospital Roberto del Río, Santiago, Chile.ORCID https://orcid.org/0000-0002-0015-5219
Igor SolevTakeda Pharmaceuticals International AG Singapore Branch, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHaemophilia A (HA) is associated with high clinical and healthcare burden. We developed an Excel-based model comparing current practice to improved management in severe HA patients currently managed on demand (OD). Outcomes included short- and long-term bleed events. Expected annual bleeds were estimated based on locally-derived OD annualised bleed rate (ABR), adjusted by relative prophylaxis-related ABRs (published literature). The objective of our study was to explore the impact of improving HA prophylaxis in target countries with limited published data (Algeria, Argentina, Chile, India, Malaysia, Mexico, Taiwan and Thailand). Bleed-related healthcare resource use (HCRU) and costs were estimated as a function of bleed type, with inputs obtained from local expert estimates. Clotting factor concentrates (CFC) consumption related to treatment and prophylaxis was estimated based on locally relevant dosing. CFC costs were not included.

resultsWhen 20% of OD patients were switched to prophylaxis, projected reduction in bleeds was estimated between 3% (Taiwan) through 14% (Algeria and India); projected reductions in hospitalisations ranged from 3% (Taiwan) through 15% (India). Projected HCRU-related annual cost savings were estimated at USD 0.45 m (Algeria), 0.77 m (Argentina), 0.28 m (Chile), 0.13 m (India), 0.29 m (Malaysia), 2.79 m (Mexico), 0.15 m (Taiwan) and 0.78 m (Thailand). Net change in annual CFC consumption ranged from a 0.05% reduction (Thailand) to an overall 5.4% increase (Algeria). Our model provides a flexible framework to estimate the clinical and cost offsets of improved prophylaxis. Modest increase in CFC consumption may be an acceptable offset for improvements in health and healthcare capacity in resource constrained economies.

Indexed as

Hemophilia AData CollectionFactor VIIIHealth Care CostsHemorrhageHumansPatient Acceptance of Health CareFactor VIIIBleedsCost of illnessCostsHaemophilia aHealthcare resource use

Identifiers

PMID37950292
PMCPMC10638687

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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.