Evidence map›Paper›PMID 33173886›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Engineering a Mobile Platform to Promote Sleep in the Pediatric Primary Care Setting.

Jonathan A Mitchell, Knashawn H Morales, Ariel A Williamson, Nicholas Huffnagle, Casey Eck, Abigail Jawahar, Lionola Juste, Alexander G Fiks, Babette S Zemel, David F Dinges

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. 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
–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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. What GI Physicians Need to Know During COVID-19 Pandemic.Digestive diseases and sciences · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Jonathan A MitchellDepartment of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Knashawn H MoralesDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Ariel A WilliamsonDepartment of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Nicholas HuffnagleLifespan Brain Institute, Children's Hospital of Philadelphia, Philadelphia.
Casey EckDivision of Oncology, Children's Hospital of Philadelphia, Philadelphia.
Abigail JawaharDivision of Gastroenterology, Hepatology and Nutrition, Children's Hospital of Philadelphia, Philadelphia.
Lionola JusteDivision of Gastroenterology, Hepatology and Nutrition, Children's Hospital of Philadelphia, Philadelphia.
Alexander G FiksDepartment of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Babette S ZemelDepartment of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
David F DingesDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Children's Hospital of Philadelphia · USUniversity of Pennsylvania · US

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Sleep, Energetic Behaviors, and Adolescent Obesity during the Transition from Middle to High SchoolK01HL123612 · NHLBI · CHILDREN'S HOSP OF PHILADELPHIA · PI MITCHELL, JONATHAN ANDREW · 2015 to 2019
$787k
Implementing Evidence-Based Behavioral Sleep Intervention in Urban Primary CareK23HD094905 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI WILLIAMSON, ARIEL A · 2018 to 2022
$657k
NCATS NIH HHS UL1 TR001878NHLBI NIH HHS K01 HL123612NICHD NIH HHS K23 HD094905
6 · The paper itself

Abstract

Background: Pediatricians lack tools to support families at home for the promotion of childhood sleep. We are using the Multiphase Optimization Strategy (MOST) framework to guide the development of a mobile health platform for childhood sleep promotion. Purpose: Under the Methods: Children aged 10-12y were enrolled (Study #1: N=30; Study #2: N=43). Participants wore a sleep tracker to measure sleep duration. Data were retrieved by a mobile health platform, programmed to send introductory messages during run-in (2 weeks) and goal achievement messages during intervention (7 weeks) periods. In study #1, participants were randomized to control, gain-framed incentive or loss-framed incentive arms. In study #2, participants were randomized to control, loss-framed incentive, normative feedback or loss-framed incentive plus normative feedback arms. Results: In study #1, 1,514 nights of data were captured (69%) and sleep duration during the intervention was higher by an average of 21 (95% CI: -8, 51) and 34 (95% CI: 7, 61) minutes per night for the gain-framed and loss-framed arms, respectively, compared to controls. In study #2, 2,689 nights of data were captured (81%), with no major differences in average sleep duration between the control and the loss-framed or normative feedback arms. Conclusion: We have developed and deployed a mobile health platform that can capture sleep data and remotely communicate with families. Promising candidate intervention components will be further investigated under the

Identifiers

PMID33173886
PMCPMC7654877
OpenAlexW3097662406

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.