Evidence map›Paper›PMID 36732718›Full record

ArticleBMC medical informatics and decision making2023

Mapping patient pathways and understanding clinical decision-making in dengue management to inform the development of digital health tools.

Quang Huy Nguyen, Damien K Ming, An Phuoc Luu, Ho Quang Chanh, Dong Thi Hoai Tam, Nguyen Thanh Truong, Vo Xuan Huy, Bernard Hernandez, Jennifer Ilo Van Nuil, Chris Paton and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

16 authors at 4 institutions in 3 countries.

Quang Huy Nguyen *Centre for Tropical Medicine, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Damien K Ming *Centre for Antimicrobial Optimisation (CAMO), Imperial College London, London, UK. d.ming@imperial.ac.uk.
An Phuoc LuuCentre for Tropical Medicine, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Ho Quang ChanhCentre for Tropical Medicine, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Dong Thi Hoai TamCentre for Tropical Medicine, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Nguyen Thanh TruongHospital for Tropical Diseases, Ho Chi Minh City, Vietnam.
Vo Xuan HuyHospital for Tropical Diseases, Ho Chi Minh City, Vietnam.
Bernard HernandezCentre for BioInspired Technology, Imperial College London, London, UK.
Jennifer Ilo Van NuilCentre for Tropical Medicine, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Chris PatonDepartment of Information Science, University of Otago, Dunedin, New Zealand.
Pantelis GeorgiouCentre for BioInspired Technology, Imperial College London, London, UK.
Nguyet Minh NguyenCentre for Tropical Medicine, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Alison HolmesCentre for Antimicrobial Optimisation (CAMO), Imperial College London, London, UK.
Phan Vinh ThoHospital for Tropical Diseases, Ho Chi Minh City, Vietnam.
Sophie YacoubCentre for Tropical Medicine, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Vietnam ICU Translational Applications Laboratory (VITAL) investigators
Oxford University Clinical Research Unit · VNImperial College London · GBHospital for Tropical Diseases · VNUniversity of Oxford · GB

Funding

Wellcome TrustWellcome Trust 215010/Z/18/Z
6 · The paper itself

Abstract

backgroundDengue is a common viral illness and severe disease results in life-threatening complications. Healthcare services in low- and middle-income countries treat the majority of dengue cases worldwide. However, the clinical decision-making processes which result in effective treatment are poorly characterised within this setting. In order to improve clinical care through interventions relating to digital clinical decision-support systems (CDSS), we set out to establish a framework for clinical decision-making in dengue management to inform implementation.

methodsWe utilised process mapping and task analysis methods to characterise existing dengue management at the Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam. This is a tertiary referral hospital which manages approximately 30,000 patients with dengue each year, accepting referrals from Ho Chi Minh city and the surrounding catchment area. Initial findings were expanded through semi-structured interviews with clinicians in order to understand clinical reasoning and cognitive factors in detail. A grounded theory was used for coding and emergent themes were developed through iterative discussions with clinician-researchers.

resultsKey clinical decision-making points were identified: (i) at the initial patient evaluation for dengue diagnosis to decide on hospital admission and the provision of fluid/blood product therapy, (ii) in those patients who develop severe disease or other complications, (iii) at the point of recurrent shock in balancing the need for fluid therapy with complications of volume overload. From interviews the following themes were identified: prioritising clinical diagnosis and evaluation over existing diagnostics, the role of dengue guidelines published by the Ministry of Health, the impact of seasonality and caseload on decision-making strategies, and the potential role of digital decision-support and disease scoring tools.

conclusionsThe study highlights the contemporary priorities in delivering clinical care to patients with dengue in an endemic setting. Key decision-making processes and the sources of information that were of the greatest utility were identified. These findings serve as a foundation for future clinical interventions and improvements in healthcare. Understanding the decision-making process in greater detail also allows for development and implementation of CDSS which are suited to the local context.

Indexed as

Decision Support Systems, ClinicalDengueClinical Decision-MakingHumansReferral and ConsultationRisk FactorsClinical decision-makingDecision supportDengueDigital healthImplementation researchVietnam

Identifiers

PMID36732718
PMCPMC9893980
OpenAlexW4318982855

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.