Evidence map›Paper›PMID 38022734›Full record

ArticleWellcome open research2022

Software development process of Neotree - a data capture and decision support system to improve newborn healthcare in low-resource settings.

Nushrat Khan, Caroline Crehan, Tim Hull-Bailey, Charles Normand, Leyla Larsson, Deliwe Nkhoma, Tarisai Chiyaka, Felicity Fitzgerald, Erin Kesler, Hannah Gannon and 11 more

Abstract read
In one paragraph

Article in Wellcome open research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

21 authors.

Nushrat KhanPopulation, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK.ORCID https://orcid.org/0000-0002-4521-0920
Caroline CrehanPopulation, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK.
Tim Hull-BaileyNeotree Charity, London, EC2A 2RS, UK.
Charles NormandIndependent contributor, London, UK.
Leyla LarssonBiomedical Research and Training Institute (BRTI), Harare, Zimbabwe.ORCID https://orcid.org/0000-0003-4869-4630
Deliwe NkhomaKamuzu Central Hospital, Lilongwe, Malawi.
Tarisai ChiyakaBiomedical Research and Training Institute (BRTI), Harare, Zimbabwe.
Felicity FitzgeraldDepartment of Infectious Disease, Imperial College London, London, UK.
Erin KeslerChildren's Hospital of Philadelphia, Philadelphia, USA.
Hannah GannonPopulation, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK.
Patty KostkovaUCL Centre for Digital Public Health in Emergencies, London, UK.
Emma WilsonPopulation, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK.
Matteo GiacconeIndependent contributor, London, UK.
Danie KrigeBaobab Web Services, City of Cape Town, South Africa.
Morris BaradzaBaobab Web Services, City of Cape Town, South Africa.
Daniel SilksmithIndependent contributor, London, UK.
Samuel NealPopulation, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK.
Simbarashe ChimhuyaUniversity of Zimbabwe, Harare, Zimbabwe.
Msandeni ChiumeKamuzu Central Hospital, Lilongwe, Malawi.
Yali SassoonSnowplow Analytics, London, UK.
Michelle HeysPopulation, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

The global priority of improving neonatal survival could be tackled through the universal implementation of cost-effective maternal and newborn health interventions. Despite 90% of neonatal deaths occurring in low-resource settings, very few evidence-based digital health interventions exist to assist healthcare professionals in clinical decision-making in these settings. To bridge this gap, Neotree was co-developed through an iterative, user-centered design approach in collaboration with healthcare professionals in the UK, Bangladesh, Malawi, and Zimbabwe. It addresses a broad range of neonatal clinical diagnoses and healthcare indicators as opposed to being limited to specific conditions and follows national and international guidelines for newborn care. This digital health intervention includes a mobile application (app) which is designed to be used by healthcare professionals at the bedside. The app enables real-time data capture and provides education in newborn care and clinical decision support

Indexed as

Digital health systemneonatal health supportuser-centred design

Identifiers

PMID38022734
PMCPMC10682609

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.