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Record W7165555702 · doi:10.2196/83077

Evaluating the Picterus® Jaundice Pro Application for Neonatal Jaundice Screening by Parents: prospective mixed-methods study (Preprint)

2025· article· en· W7165555702 on OpenAlexvenueno aff
Frouke Jantine Terpstra, Ariela Hazan, Elkana Kohn, Matitiahu Berkovitch, Tjalling W. de Vries, Elisabeth M. W. Kooi, Jasper V. Been, Peter H. Dijk, Christian V. Hulzebos

Bibliographic record

VenueJMIR Pediatrics and Parenting · 2025
Typearticle
Languageen
FieldMedicine
TopicNeonatal Health and Biochemistry
Canadian institutionsnot available
Fundersnot available
KeywordsJaundiceProspective cohort studyMEDLINENeonatal sepsisDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Neonatal jaundice is a very common condition in the first week of life requiring timely recognition of the small subset of neonates at risk of developing severe neonatal hyperbilirubinemia (SNH). Total serum bilirubin, as quantified through blood testing, remains the gold standard for diagnosis, whereas screening based on visual inspection has been proven unreliable in identifying which jaundiced neonates require total serum bilirubin. Picterus Jaundice Pro (JP) is a mobile health app developed for use by health care professionals and parents to screen for imminent SNH. However, parental user experiences with Picterus JP remain largely unexplored. OBJECTIVE: This study aimed to evaluate the usability and user-friendliness of Picterus JP when used and evaluated by parents. METHODS: Between August 2023 and January 2025, we conducted a prospective mixed methods study at 3 maternity care settings: the maternity wards of 2 hospitals in the Netherlands and 1 hospital in Israel. Parents were invited to participate if their infant was near term born (gestational age of ≥35 weeks) and at least 12 hours old but still in the first week of life. Parents used Picterus JP once according to the manufacturer's instructions. Immediately afterward, usability was evaluated using the validated mHealth App Usability Questionnaire, an instrument measured on a 7-point Likert scale ranging from 1 ("strongly disagree") to 7 ("strongly agree"), and open-ended questions. A subset of parents and nurses participated in semistructured interviews and focus groups. RESULTS: In total, 123 parents completed the questionnaire. The median mHealth App Usability Questionnaire score was 6 (IQR 5-7) out of 7. A total of 87.7% (100/114) of the parents indicated that they would use Picterus JP at home. Parents reported that they found the app easy, quick, and convenient, although 55.8% (67/120) reported a failure on the first try. Some parents struggled to find or interpret the instructions, but most of those who tried again (79/105, 75.2%) obtained a bilirubin estimate. Additionally, 12 nurses from 2 participating maternity wards provided their observations on parents' use of Picterus JP in 2 focus groups. Thematic analysis of all combined data identified 3 themes that were considered important for the usability of Picterus JP: intention to use Picterus JP, infant well-being, and instruction and guidance. CONCLUSIONS: Parents rated Picterus JP highly in terms of usability despite encountering difficulties during initial use. Technical improvements and more proactive guidance seem important to support successful parental use. Nonetheless, both parents and nurses were positive about the potential of Picterus JP for home screening for SNH.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.430
Teacher spread0.401 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractno

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