Evidence map›Paper›PMID 35511408›Full record

ArticleJournal of medical systems2022

A Comparative Utility Score for Digital Health Tools.

Joshua C Burton, Samantha Regala, Deonte Williams, Aditi Desai, Han He, Oliver Aalami, Edward R Mariano, Randall S Stafford, Seshadri C Mudumbai

Abstract read
In one paragraph

Article in Journal of medical systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Joshua C BurtonPalo Alto University, 1791 Arastradero Road, Palo Alto, CA, 94304, USA.
Samantha RegalaCenter for Innovation to Implementation, Veterans Affairs Palo Alto Health Care System, 795 Willow Road (152-MPD), Menlo Park, CA, 94025, USA.
Deonte WilliamsPalo Alto University, 1791 Arastradero Road, Palo Alto, CA, 94304, USA.
Aditi DesaiCenter for Innovation to Implementation, Veterans Affairs Palo Alto Health Care System, 795 Willow Road (152-MPD), Menlo Park, CA, 94025, USA.
Han HeCenter for Innovation to Implementation, Veterans Affairs Palo Alto Health Care System, 795 Willow Road (152-MPD), Menlo Park, CA, 94025, USA.
Oliver AalamiVascular Surgery Service, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, CA, 94402, USA.ORCID http://orcid.org/0000-0002-7799-2429
Edward R MarianoAnesthesiology and Perioperative Care Service, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, CA, 94402, USA.
Randall S StaffordDepartment of Medicine, Stanford University School of Medicine, 291 Campus Drive, Stanford, CA, 94305, USA.
Seshadri C MudumbaiAnesthesiology and Perioperative Care Service, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, CA, 94402, USA. mudumbai@stanford.edu.ORCID http://orcid.org/0000-0001-8486-9966

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health tools (DHT) are increasingly poised to change healthcare delivery given the Coronavirus Disease 2019 (COVID-19) pandemic and the drive to telehealth. Establishing the potential utility of a given DHT could aid in identifying how it could be best used and further opportunities for healthcare improvement. We propose a metric, a Utility Factor Score, which quantifies the benefits of a DHT by explicitly defining adherence and linking it directly to satisfaction and health goals met. To provide data for how the comparative utility score can or should work, we illustrate in detail the application of our metrics across four DHTs with two simulated users. The Utility Factor Score can potentially facilitate integration of DHTs into various healthcare settings and should be evaluated within a clinical study.

Indexed as

COVID-19TelemedicineDelivery of Health CareHumansPandemicsAcceptanceDigital healthTechnologyTelehealthUtility

Identifiers

PMID35511408
PMCPMC9069219

What OpenQuestion holds

Textmetadata
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.