Evidence map›Paper›PMID 41004258›Full record

ArticleJMIR formative research2025

Health Care Providers' Perspectives of Clinical Decision Support Tools for Pediatric Sepsis in Bangladesh: Qualitative Study.

Shamsun N Shaima, Alicia E Genisca, Md Tanveer Faruk, Md Fakhar Uddin, Akash Saha, Nadia Sultana, Nidhi Kadakia, Monique Gainey, Elleen Kim, Kikuyo Shaw and 7 more

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Shamsun N Shaima *International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.ORCID 0000-0002-1732-4242
Alicia E Genisca *Department of Emergency Medicine, Warren Alpert Medical School of Brown University, Providence, RI, United States.ORCID 0000-0001-7679-1126
Md Tanveer FarukInternational Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.ORCID 0000-0003-2514-920X
Md Fakhar UddinInternational Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.ORCID 0000-0003-2331-331X
Akash SahaInternational Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.ORCID 0009-0001-9733-882X
Nadia SultanaInternational Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.ORCID 0000-0002-3468-5664
Nidhi KadakiaDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States.ORCID 0000-0002-6866-1193
Monique GaineyVirginia Tech Carilion School of Medicine, Roanoke, VA, United States.ORCID 0000-0002-2860-9104
Elleen KimWarren Alpert Medical School of Brown University, Providence, RI, United States.ORCID 0009-0009-8736-4096
Kikuyo ShawDepartment of Emergency Medicine, Warren Alpert Medical School of Brown University, Providence, RI, United States.ORCID 0000-0002-2272-0645
Farzana AfrozeInternational Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.ORCID 0000-0002-9545-2266
Joan ChepngenoBrown University, Providence, RI, United States.ORCID 0009-0009-9505-5656
Atin JindalDepartment of Internal Medicine, Warren Alpert Medical School of Brown University, Providence, RI, United States.ORCID 0000-0002-1832-3479
Sifat A ChowdhuryInternational Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.ORCID 0009-0009-6200-1045
Md Jobayer ChistiInternational Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.ORCID 0000-0001-9958-3071
Adam C LevineDivision of Biology and Medicine, Brown University, Providence, RI, United States.ORCID 0000-0003-3982-3824
Stephanie C GarbernDepartment of Emergency Medicine, Warren Alpert Medical School of Brown University, Providence, RI, United States.ORCID 0000-0002-0919-2841

Funding

Tracking and Evaluation CoreU54GM115677 · NIGMS · BROWN UNIVERSITY · PI ROUNDS, SHARON IRENE SMITH · 2016 to 2025
$45.0M
Supplement to Development of a Mobile Health Personalized Physiologic Analytics Tool for Pediatric Patients with SepsisR33TW012211 · FIC · RHODE ISLAND HOSPITAL · PI GARBERN, STEPHANIE CHOW, LEVINE, ADAM CARL · 2023 to 2025
$1.1M
FIC NIH HHS R33 TW012211NIGMS NIH HHS U54 GM115677
6 · The paper itself

Abstract

backgroundSepsis, a life-threatening condition resulting from a dysregulated immune response to infection, disproportionately affects children in low- and middle-income countries (LMICs). Children with sepsis in LMICs face high mortality rates, with early detection and clinical monitoring posing significant challenges to effective management. There is great potential for digital technologies, such as wearable biosensor devices and mobile health (mHealth) clinical decision support (CDS) tools, together referred to as clinical decision support systems (CDSSs), to enable closer monitoring and more prompt recognition of children at risk of advanced sepsis and death. However, little is known about the perceptions of health care providers (HCPs) regarding the introduction of new digital health tools for pediatric sepsis care in LMICs.

objectiveThe objective of this study was to assess HCPs' understanding, perceptions, and recommendations regarding the design and implementation of digital CDSSs for pediatric sepsis care in Bangladesh.

methodsBetween February and May 2024, 18 individual semistructured in-depth interviews were conducted with HCPs (nurses and physicians) at 3 urban hospitals in Bangladesh. The data were transcribed, translated from Bangla to English, and analyzed using a framework matrix analysis approach. Participants were asked about familiarity with digital health tools, feedback on CDSS design, perceptions of the system's utility, and barriers and facilitators to use of similar tools in clinical settings in Bangladesh.

resultsParticipants reported overall positive perceptions toward the potential implementation of a CDSS for pediatric sepsis care in Bangladesh. Some key priorities for the design of a CDSS were durability, reusability, cost considerations, reliability, and accuracy. Clinicians desired the CDS tool to also have customizable alarm parameters and include additional functions such as glucose monitoring. Many favored audio (ringtone) or visual (light) alarms to alert about changes in captured vital signs. HCPs believed that a CDSS could enhance patient care by allowing greater staff capacity to monitor patients, reducing management time, and aiding in faster clinical decision-making, with some suggesting it could lower mortality rates. Concerns regarding implementation included internet availability, affordability of the wearable devices, and trust in the CDSS outputs compared to expert clinician judgement.

conclusionsThe findings of this study highlight HCPs' perceptions toward the potential of wearable biosensor devices and CDS tools (CDSSs) for improving pediatric sepsis outcomes in LMICs and highlight the need to address implementation challenges to ensure the effective integration of CDSSs into health care systems.

Indexed as

Attitude of Health PersonnelDecision Support Systems, ClinicalHealth PersonnelSepsisAdultBangladeshChildFemaleHumansMaleQualitative ResearchTelemedicinedigital healthglobal healthimplementation sciencemobile healthpediatricssepsis

Identifiers

PMID41004258
PMCPMC12514408

What OpenQuestion holds

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LicenceCC BY
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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.