Evidence map›Paper›PMID 36416389›Full record

ArticleTranslational behavioral medicine2023

The ILHBN: challenges, opportunities, and solutions from harmonizing data under heterogeneous study designs, target populations, and measurement protocols.

Sy-Miin Chow, Inbal Nahum-Shani, Justin T Baker, Donna Spruijt-Metz, Nicholas B Allen, Randy P Auerbach, Genevieve F Dunton, Naomi P Friedman, Stephen S Intille, Predrag Klasnja and 11 more

Erratum issuedAbstract read
In one paragraph

Article in Translational behavioral medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Brain-phenotype predictions can survive across diverse real-world data.bioRxiv : the preprint server for biology · 2024
    Article
  6. Review
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Sy-Miin ChowDepartment of Human Development and Family Studies, The Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0003-1938-027X
Inbal Nahum-ShaniInstitute for Social Research, University of Michigan, Ann Arbor, MI, USA.
Justin T BakerDepartment of Psychiatry, McLean Hospital, Boson, MA, USA.
Donna Spruijt-MetzDepartment of Psychology, University of Southern California, Los Angeles, CA, USA.
Nicholas B AllenDepartment of Psychology, University of Oregon, Eugene, OR, USA.
Randy P AuerbachDepartment of Psychiatry, Columbia University, New York, NY, USA.
Genevieve F DuntonDepartment of Psychology, University of Southern California, Los Angeles, CA, USA.
Naomi P FriedmanInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.
Stephen S IntilleKhoury College of Computer Sciences, Northeastern University, Boston, MA, USA.
Predrag KlasnjaSchool of Information, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-4570-703X
Benjamin MarlinCollege of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA, USA.
Matthew K NockDepartment of Psychology, Harvard University, Cambridge, MA, USA.
Scott L RauchDepartment of Psychiatry, McLean Hospital, Boson, MA, USA.
Misha PavelKhoury College of Computer Sciences, Northeastern University, Boston, MA, USA.
Scott VriezeDepartment of Psychology, University of Minnesota, Minneapolis, MN, USA.
David W WetterDepartment of Population Health Sciences, University of Utah, Salt Lake City, UT, USA.
Evan M KleimanDepartment of Psychology, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.
Timothy R BrickDepartment of Human Development and Family Studies, The Pennsylvania State University, University Park, PA 16802, USA.
Heather PerryDepartment of Human Development and Family Studies, The Pennsylvania State University, University Park, PA 16802, USA.
Dana L Wolff-HughesNational Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Intensive Longitudinal Health Behavior Network (ILHBN)

Funding

Pilot and Mentoring CoreP50DA054039 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LINDA M COLLINS, SUSAN A MURPHY · 2021 to 2026
$18.2M
TR&D3 - Rapid Translation of AI-powered Temporally Precise mHealth Interventions via Efficient and Embeddable Trustworthy Biomarker ImplementationsP41EB028242 · NIBIB · UNIVERSITY OF MEMPHIS · PI Santosh Kumar · 2020 to 2026
$9.5M
Novel Methods for Intensive Longitudinal Data in SMART Studies of Drug Abuse and HIVR01DA039901 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALMIRALL, DANIEL, NAHUM-SHANI, INBAL BILLIE · 2015 to 2024
$5.4M
Intensive longitudinal study of suicidal behaviors and related health outcomesU01MH116928 · NIMH · HARVARD UNIVERSITY · PI NOCK, MATTHEW K · 2018 to 2022
$4.3M
M-ISIC: A Multimodal Open-Source International Skin Imaging Collaboration Informatics Platform for Automated Skin Cancer DetectionU24CA264369 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Kivanc Kose, Veronica Miriam Rotemberg · 2022 to 2026
$3.9M
Heart Steps: Adaptive mHealth intervention for physical-activity maintenanceR01HL125440 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Predrag Klasnja · 2015 to 2026
$3.8M
MAPS: Mobile Assessment for the Prediction of SuicideU01MH116923 · NIMH · UNIVERSITY OF OREGON · PI ALLEN, NICHOLAS B, AUERBACH, RANDY PATRICK · 2018 to 2022
$3.6M
Robust Predictors of Mania and PsychosisU01MH116925 · NIMH · MCLEAN HOSPITAL · PI BAKER, JUSTIN T, RAUCH, SCOTT L · 2018 to 2022
$3.2M
Microtemporal Processes Underlying Health Behavior Adoption and MaintenanceU01HL146327 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DUNTON, GENEVIEVE FRIDLUND, INTILLE, STEPHEN S · 2018 to 2022
$2.9M
Novel use of mHealth data to identify states of vulnerability and receptivity to JITAIs SupplementU01CA229437 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NAHUM-SHANI, INBAL BILLIE, WETTER, DAVID W · 2018 to 2022
$2.8M
A Twin Study of Adolescent Alcohol and Drug Use Development: Leveraging Intensive Longitudinal AssessmentsU01DA046413 · NIDA · UNIVERSITY OF MINNESOTA · PI FRIEDMAN, NAOMI P., VRIEZE, SCOTT IAN · 2018 to 2022
$2.7M
Operationalizing Behavioral Theory for mHealth: Dynamics, Context, and PersonalizationU01CA229445 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KLASNJA, PREDRAG, MARLIN, BENJAMIN M. · 2018 to 2022
$2.1M
NCI NIH HHS U01 CA229437NCI NIH HHS U01 CA229445NCI NIH HHS U24 CA264369NHLBI NIH HHS R01 HL125440NHLBI NIH HHS U01 HL146327NIAAA NIH HHS U24 AA027684NIBIB NIH HHS P41 EB028242NIDA NIH HHS P50 DA054039NIDA NIH HHS R01 DA039901NIDA NIH HHS U01 DA046413NIMH NIH HHS U01 MH116923NIMH NIH HHS U01 MH116925NIMH NIH HHS U01 MH116928
6 · The paper itself

Abstract

The ILHBN is funded by the National Institutes of Health to collaboratively study the interactive dynamics of behavior, health, and the environment using Intensive Longitudinal Data (ILD) to (a) understand and intervene on behavior and health and (b) develop new analytic methods to innovate behavioral theories and interventions. The heterogenous study designs, populations, and measurement protocols adopted by the seven studies within the ILHBN created practical challenges, but also unprecedented opportunities to capitalize on data harmonization to provide comparable views of data from different studies, enhance the quality and utility of expensive and hard-won ILD, and amplify scientific yield. The purpose of this article is to provide a brief report of the challenges, opportunities, and solutions from some of the ILHBN's cross-study data harmonization efforts. We review the process through which harmonization challenges and opportunities motivated the development of tools and collection of metadata within the ILHBN. A variety of strategies have been adopted within the ILHBN to facilitate harmonization of ecological momentary assessment, location, accelerometer, and participant engagement data while preserving theory-driven heterogeneity and data privacy considerations. Several tools have been developed by the ILHBN to resolve challenges in integrating ILD across multiple data streams and time scales both within and across studies. Harmonization of distinct longitudinal measures, measurement tools, and sampling rates across studies is challenging, but also opens up new opportunities to address cross-cutting scientific themes of interest.

Indexed as

Ecological Momentary AssessmentResearch DesignHealth Services Needs and DemandHumansReview Literature as TopicEMAHealth behavior changesILHBNLocationSensor

Identifiers

PMID36416389
PMCPMC9853092

What OpenQuestion holds

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Registered trials

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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.