Evidence map›Paper›PMID 33692479›Full record

ReviewNPJ digital medicine2021

The emerging clinical role of wearables: factors for successful implementation in healthcare.

Matthew Smuck, Charles A Odonkor, Jonathan K Wilt, Nicolas Schmidt, Michael A Swiernik

Abstract readReview
In one paragraph

Review in NPJ digital medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 168 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
168citing papers in PubMed, 6 pooled it
–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

168 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  12. Digital Transformation in Health Care: Are We on the Right Track?Journal of medical Internet research · 2026
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108 more citing papers are in PubMed but not listed here.

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

5 authors.

Matthew SmuckDivision of Physical Medicine & Rehabilitation, Department of Orthopaedic Surgery, Stanford University, Stanford, CA, USA. msmuck@stanford.edu.ORCID http://orcid.org/0000-0002-2990-069X
Charles A OdonkorDepartment of Orthopaedics and Rehabilitation, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-8280-4015
Jonathan K WiltChief Technology Officer of Innovation, Ochsner, Ochsner Health System, New Orleans, LA, USA.
Nicolas SchmidtHead of Healthcare Products, Digital Health, Nokia Technologies, Cambridge, MA, USA.
Michael A SwiernikMedical Informatics, Kaiser Permanente Southern California, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-4331-0944

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Training CoreU54EB020405 · NIBIB · STANFORD UNIVERSITY · PI DELP, SCOTT L · 2014 to 2018
$11.6M
NCATS NIH HHS UL1 TR001863NIBIB NIH HHS U54 EB020405U.S. Department of Health & Human Services | National Institutes of Health (NIH) U54EB020405
6 · The paper itself

Abstract

Wearable technologies promise to redefine assessment of health behaviors, yet their clinical implementation remains a challenge. To address this gap, two of the NIH's Big Data to Knowledge Centers of Excellence organized a workshop on potential clinical applications of wearables. A workgroup comprised of 14 stakeholders from diverse backgrounds (hospital administration, clinical medicine, academia, insurance, and the commercial device industry) discussed two successful digital health interventions that involve wearables to identify common features responsible for their success. Seven features were identified including: a clearly defined problem, integration into a system of healthcare delivery, technology support, personalized experience, focus on end-user experience, alignment with reimbursement models, and inclusion of clinician champions. Health providers and systems keen to establish new models of care inclusive of wearables may consider these features during program design. A better understanding of these features is necessary to guide future clinical applications of wearable technology.

Identifiers

PMID33692479
PMCPMC7946921

What OpenQuestion holds

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LicenceCC BY
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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.