Evidence map›Paper›PMID 33970071›Full record

ArticleThe Permanente journal2021

Using Real-world Data for Decision Support: Recommendations from a Primary Care Provider Survey.

Patricia A Areán, Emily C Friedman, Abhishek Pratap, Ryan Allred, Jaden Duffy, Sara Gille, Shelley Reetz, Erin Keast, Gregory Clarke

Open access · greenAbstract read
In one paragraph

Article in The Permanente journal, 2021. 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
0.1field-weighted citation impact, top 51% 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, 2 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

9 authors at 3 institutions in 1 country.

Patricia A AreánDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.
Emily C FriedmanALACRITY Center, University of Washington, Seattle, WA.
Abhishek PratapSage Bionetworks, Seattle, WA.
Ryan AllredDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.
Jaden DuffyDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.
Sara GilleKaiser Permanente Center for Health Research, Portland, OR.
Shelley ReetzKaiser Permanente Center for Health Research, Portland, OR.
Erin KeastKaiser Permanente Center for Health Research, Portland, OR.
Gregory ClarkeKaiser Permanente Center for Health Research, Portland, OR.
Kaiser Permanente Center for Health Research · USUniversity of Washington · USSage Bionetworks · US

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
NCCIH Supplement to NCATS/CTSA Program for KL2 Scholars - M. SoddersKL2TR002317 · NCATS · UNIVERSITY OF WASHINGTON · PI Christy Michelle McKinney · 2017 to 2026
$14.5M
NRSA Training CoreTL1TR002318 · NCATS · UNIVERSITY OF WASHINGTON · PI Megan Moore · 2017 to 2026
$8.4M
NCATS NIH HHS KL2 TR002317NCATS NIH HHS TL1 TR002318NCATS NIH HHS UL1 TR002319
6 · The paper itself

Abstract

introductionThe use of data from wearable sensors, smartphones, and apps holds promise as a clinical decision-making tool in health and mental health in primary care medicine. The aim of this study was to determine provider perspectives about the utility of these data for building digitally based decision-making tools.

methodsThis mixed quantitative and qualitative cross-sectional survey of a convenience sample of primary-care clinicians at Kaiser Permanente Northwest was conducted between April and July 2019 online via Institute for Translational Health Sciences' Research Electronic Data Capture. Study outcomes were 1) attitudes toward digital data, 2) willingness to use digital data to support clinical decision making, and 3) concerns and recommendations about implementing a digital tool for clinical decision making.

resultsThis sample of 131 clinicians was largely white (n = 98) female (n = 91) physicians (n = 86). Although respondents (75.7%, n = 87) had a positive attitude toward using digital tools in their practice, 88 respondents (67.3%) voiced concerns about the possible lack of clinical utility, suspected difficulty in integration with clinical workflows, and worried about the potential burden placed on patients. Participants indicated that the accuracy of the data in detecting the need for treatment adjustments would need to be high and the tool should be clinically tested.

conclusionsPrimary care providers find value in collecting real-world patient data to assist in clinical decision making, provided such information does not interfere with provider workflow or impose undue burden on patients. In addition, digital tools will need to demonstrate high accuracy, be able to integrate into current clinical workflows, and maintain the privacy and security of patients' data.

Indexed as

Health PersonnelPhysiciansCross-Sectional StudiesFemaleHumansPrimary Health CareSurveys and Questionnaires

Identifiers

PMID33970071
PMCPMC8817910
OpenAlexW3161679770

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.