Evidence map›Paper›PMID 36981440›Full record

ArticleHealthcare (Basel, Switzerland)2023

Evolution of a System to Monitor Infant Neuromotor Development in the Home: Lessons from COVID-19.

Manon Maitland Schladen, Hsin-Hung Kuo, Tan Tran, Achuna Ofonedu, Hanh Hoang, Robert Jett, Megan Gu, Kimberly Liu, Kai'lyn Mohammed, Yas'lyn Mohammed and 2 more

Open access · goldFull text read
In one paragraph

Article in Healthcare (Basel, Switzerland), 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
1.7field-weighted citation impact, top 15% 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, 3 citations in OpenAlex.

  1. Article
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

12 authors at 2 institutions in 2 countries.

Manon Maitland SchladenDepartment of Biomedical Engineering, The Catholic University of America, Washington, DC 20064, USA.ORCID 0000-0001-8783-6721
Hsin-Hung KuoDepartment of Biomedical Engineering, The Catholic University of America, Washington, DC 20064, USA.
Tan TranDepartment of Electrical Engineering and Computer Science, The Catholic University of America, Washington, DC 20064, USA.
Achuna OfoneduDepartment of Electrical Engineering and Computer Science, The Catholic University of America, Washington, DC 20064, USA.
Hanh HoangDepartment of Biomedical Engineering, The Catholic University of America, Washington, DC 20064, USA.
Robert JettDepartment of Mechanical Engineering, The Catholic University of America, Washington, DC 20064, USA.
Megan GuDepartment of Biomedical Engineering, The Catholic University of America, Washington, DC 20064, USA.
Kimberly LiuDepartment of Biomedical Engineering, The Catholic University of America, Washington, DC 20064, USA.
Kai'lyn MohammedDepartment of Biomedical Engineering, The Catholic University of America, Washington, DC 20064, USA.
Yas'lyn MohammedDepartment of Biomedical Engineering, The Catholic University of America, Washington, DC 20064, USA.
Peter S LumDepartment of Electrical Engineering and Computer Science, The Catholic University of America, Washington, DC 20064, USA.
Yiannis KoumpourosDepartment of Public and Community Health, University of West Attica, 12243 Aigaleo, Greece.ORCID 0000-0001-6912-5475
University of America · USUniversity of West Attica · GR

Funding

ACL HHS 90REGE0004
6 · The paper itself

Abstract

In the nine months leading up to COVID-19, our biomedical engineering research group was in the very early stages of development and in-home testing of HUGS, the Hand Use and Grasp Sensor (HUGS) system. HUGS was conceived as a tool to allay parents' anxiety by empowering them to monitor their infants' neuromotor development at home. System focus was on the evolving patterns of hand grasp and general upper extremity movement, over time, in the naturalistic environment of the home, through analysis of data captured from force-sensor-embedded toys and 3D video as the baby played. By the end of March, 2020, as the COVID-19 pandemic accelerated and global lockdown ensued, home visits were no longer possible and HUGS system testing ground to an abrupt halt. In the spring of 2021, still under lockdown, we were able to resume recruitment and in-home testing with HUGS-2, a system whose key requirement was that it be contactless. Participating families managed the set up and use of HUGS-2, supported by a detailed library of video materials and virtual interaction with the HUGS team for training and troubleshooting over Zoom. Like the positive/negative poles of experience reported by new parents under the isolation mandated to combat the pandemic, HUGS research was both impeded and accelerated by having to rely solely on distance interactions to support parents, troubleshoot equipment, and securely transmit data. The objective of this current report is to chronicle the evolution of HUGS. We describe a system whose design and development straddle the pre- and post-pandemic worlds of family-centered health technology design. We identify and classify the clinical approaches to infant screening that predominated in the pre-COVID-19 milieu and describe how these procedural frameworks relate to the family-centered conceptualization of HUGS. We describe how working exclusively through the proxy of parents revealed the family's priorities and goals for child interaction and surfaced HUGS design shortcomings that were not evident in researcher-managed, in-home testing prior to the pandemic.

Indexed as

COVID-19family-centered technologyhome-based technologiesinfantsneuromotor delay

Identifiers

PMID36981440
PMCPMC10048217
OpenAlexW4323565277

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read1
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.