Evidence map›Paper›PMID 36962972›Full record

ArticlePLOS global public health2023

The utilization of clinical decision support tools to identify neonatal hypothermia and its associated risk factors: A prospective observational study.

Mary Kakuru Muhindo, Joshua Bress, Jean Armas, Elon Danziger, Andrew Wu, Ryan C L Brewster

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Observational
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

6 authors at 3 institutions in 2 countries.

Mary Kakuru MuhindoInfectious Diseases Research Collaboration, Kampala, Uganda.ORCID https://orcid.org/0000-0002-5328-0523
Joshua BressGlobal Strategies, Albany, California, United States of America.
Jean ArmasGlobal Strategies, Albany, California, United States of America.
Elon DanzigerGlobal Strategies, Albany, California, United States of America.ORCID https://orcid.org/0000-0002-1703-5459
Andrew WuDivision of Critical Care Medicine, Boston Children's Hospital, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-3224-5403
Ryan C L BrewsterDepartment of Pediatrics, Boston Children's Hospital, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0003-0051-2623
Boston Children's Hospital · USBoston Medical Center · USInfectious Diseases Research Collaboration · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypothermia (axillary temperature less than 36.5°) is a major source of neonatal morbidity and mortality, with a disproportionate burden of disease in low- and middle-income countries. Despite the importance of thermoregulation on newborn outcomes, the global epidemiologic landscape of neonatal hypothermia is poorly characterized. Clinical decision support (CDS) software provides point-of-care recommendations to guide clinical management and may support data capture in settings with limited informatics infrastructure. Towards this end, we conducted a prospective observational study of the NoviGuide, a novel CDS platform for newborn care, at four health facilities in Uganda between September 2022 to May 2021. Data were extracted from clinical information (e.g. axillary temperature, birth weight, gestational age) entered into the NoviGuide by nurses and midwives on newborns within 24 hours of delivery. Descriptive statistics and multivariable logistic regression were used to evaluate neonatal temperature profiles and the association between hypothermia and clinical features. Among 1,027 completed assessments, 30.5% of entries had neonatal hypothermia with significant variation across study sites. On multivariable logistic regression analysis, we found that hypothermia was independently associated with pre-term birth (Adjusted Odd's Ratio [aOR] 2.62, 95% Confidence interval [CI] 1.38-4.98), sepsis/concern for sepsis (aOR 2.73, 95% CI 2.90-3.94), and hypoglycemia/concern for hypoglycemia (aOR 1.78, 95% CI 1.17-2.72). Altogether, neonatal hypothermia was commonly entered into the NoviGuide and associated clinical characteristics aligned with previous studies based on conventional data collection instruments. Our results should be contextualized within unique technical and operational features of CDS tools, including a bias towards acutely ill patients and limited quality control. Nonetheless, this study demonstrates that a CDS used voluntarily by clinicians has the potential to fill key data gaps and drive quality improvement towards reducing neonatal hypothermia in low resource settings.

Identifiers

PMID36962972
PMCPMC10022021
OpenAlexW4319719052

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read111
identifiers read3
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.