Evidence map›Paper›PMID 38153797›Full record

ArticleJMIR mHealth and uHealth2023

A Novel Smartphone App for Self-Monitoring of Neonatal Jaundice Among Postpartum Mothers: Qualitative Research Study.

Aminath Shiwaza Moosa, Alvin Jia Hao Ngeow, Yuhan Yang, Zhimin Poon, Ding Xuan Ng, Eileen Koh Yi Ling, Ngiap Chuan Tan

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 5 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

7 authors at 4 institutions in 1 country.

Aminath Shiwaza Moosa *SingHealth Polyclinics, Primary Care Research Institute, Singapore, Singapore.ORCID 0000-0003-1239-8215
Alvin Jia Hao Ngeow *Department of Neonatology, Singapore General Hospital, Singapore, Singapore.ORCID 0000-0002-1767-4402
Yuhan YangLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID 0009-0007-3081-9032
Zhimin PoonSingHealth Polyclinics, Primary Care Research Institute, Singapore, Singapore.ORCID 0000-0002-0915-3201
Ding Xuan NgSingHealth Polyclinics, Primary Care Research Institute, Singapore, Singapore.ORCID 0009-0003-8245-9367
Eileen Koh Yi LingSingHealth Polyclinics, Primary Care Research Institute, Singapore, Singapore.ORCID 0000-0001-9596-7158
Ngiap Chuan TanSingHealth Polyclinics, Primary Care Research Institute, Singapore, Singapore.ORCID 0000-0002-5946-1149
SingHealth Duke-NUS Academic Medical Centre · SGSingHealth Polyclinics · SGNanyang Technological University · SGNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neonatal jaundice (NNJ) or hyperbilirubinemia is a ubiquitous condition in newborn infants. Currently, the transcutaneous bilirubinometer is used to screen for NNJ in health care facilities, where neonates need to be physically present (ie, a centralized model of care for NNJ screening). Mobile health (mHealth) apps present a low-cost, home-based, and noninvasive system that could facilitate self-monitoring of NNJ and could allow mothers the convenience of screening for NNJ remotely. However, end users' acceptability of such mHealth apps is of fundamental importance before the incorporation of such apps into clinical practice. Objective: The study aimed to explore the perception of postpartum mothers toward self-monitoring of NNJ using a novel mHealth app. Methods: Mothers attending video consultations for early postpartum care at 2 Singapore primary care clinics watched an instructional video for a hyperbilirubinemia-screening mHealth app (HSMA). An independent researcher used a semistructured topic guide to conduct in-depth interviews with 25 mothers, assessing their views on HSMAs. All interviews were audio recorded, transcribed verbatim, and checked for accuracy before data analysis. Two researchers independently analyzed the transcripts via thematic analysis. Data were managed using NVivo qualitative data management software. Results: The identified themes were grouped under perceived usability and utility. Mothers valued the convenience and utility of HSMAs for remote monitoring of NNJ. They appreciated the objectivity the app readings provided compared to visual inspection. However, they perceived that the app's applicability would be restricted to severe jaundice, were concerned about its accuracy and restriction to the English language, and lacked confidence in using it. Nevertheless, they were willing to use it once its accuracy was proven and when they received adequate guidance from health care professionals. They also suggested including an action plan for the measured readings and clinical signs within the app. Mothers proposed pairing teleconsultations with HSMAs to boost their confidence and enhance adoption. Conclusions: Mothers were receptive to using HSMAs but had concerns. Multiple languages, proof of accuracy, and resources to guide users should be incorporated into the app in the next phase to increase its successful adoption. Complementing such apps with a teleconsultation service presents a plausible and pragmatic NNJ care delivery model in general practice.

Indexed as

Jaundice, NeonatalMobile ApplicationsFemaleHumansHyperbilirubinemiaInfant, NewbornPostpartum PeriodQualitative Researchappapplicabilityapplicationcaredata managementmHealthmHealth appmobile healthmonitoringneonatalneonatal jaundiceneonatal jaundice screeningneonatologypostpartumpostpartum motherprimary carescreeningself-monitoringsmartphone applicationteleconsultationusabilityusersutility

Identifiers

PMID38153797
PMCPMC10766163
OpenAlexW4390348669

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.