Evidence map›Paper›PMID 39427385›Full record

ArticleInternational journal of medical informatics2024

Barriers, facilitators, and recommendations to increase the use of a clinical decision support tool for managing chronic pain in primary care.

Pablo Cuadros, Emma McCord, Cara McDonnell, Nate C Apathy, Lindsey Sanner, Meredith C B Adams, Burke W Mamlin, Joshua R Vest, Robert W Hurley, Christopher A Harle and 1 more

Abstract read
In one paragraph

Article in International journal of medical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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  5. 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

11 authors.

Pablo CuadrosDepartment of Health Policy & Management Indiana University, Indianapolis, IN, United States. Electronic address: pcuadro@iu.edu.
Emma McCordDepartment of Health Policy & Management Indiana University, Indianapolis, IN, United States. Electronic address: emmmccor@iupui.edu.
Cara McDonnellAtrium Health Wake Forest Baptist, Wake Forest University, Winston-Salem, NC, United States. Electronic address: clmw48@ufl.edu.
Nate C ApathyDepartment of Health Policy & Management University of Maryland, College Park, MD, United States; Clem McDonald Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States. Electronic address: nca@umd.edu.
Lindsey SannerDepartment of Health Policy & Management Indiana University, Indianapolis, IN, United States. Electronic address: lmsanner@iu.edu.
Meredith C B AdamsAtrium Health Wake Forest Baptist, Wake Forest University, Winston-Salem, NC, United States. Electronic address: meredith.adams@wakehealth.edu.
Burke W MamlinDepartment of Health Policy & Management Indiana University, Indianapolis, IN, United States; Clem McDonald Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States. Electronic address: bmamlin@regenstrief.org.
Joshua R VestDepartment of Health Policy & Management Indiana University, Indianapolis, IN, United States; Clem McDonald Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States. Electronic address: joshvest@iu.edu.
Robert W HurleyAtrium Health Wake Forest Baptist, Wake Forest University, Winston-Salem, NC, United States. Electronic address: rwhurley@wakehealth.edu.
Christopher A HarleDepartment of Health Policy & Management Indiana University, Indianapolis, IN, United States; Clem McDonald Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States. Electronic address: charle@iu.edu.
Olena MazurenkoDepartment of Health Policy & Management Indiana University, Indianapolis, IN, United States; Center for Health Services Research, Regenstrief Institute, Indianapolis, IN, United States. Electronic address: omazuren@iu.edu.

Funding

The Indiana Training Program in Public & Population Health InformaticsT15LM012502 · NLM · INDIANA UNIVERSITY INDIANAPOLIS · PI Brian E. Dixon, William F Fadel · 2017 to 2026
$4.7M
Nudging Primary Care Providers toward Guideline-Recommended Opioid Prescribing through Easier and More Convenient EHR Information DesignR33DA046085 · NIDA · INDIANA UNIVERSITY INDIANAPOLIS · PI HARLE, CHRISTOPHER ALBERT, MAZURENKO, OLENA · 2019 to 2021
$1.7M
University of Pittsburgh Hub and Spoke Pain Clinical Trial NetworkU24NS115708 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ALTER, BENEDICT J, WASAN, AJAY D · 2019 to 2024
$1.2M
Identifying opioid response phenotypes in low back pain electronic health dataK08EB022631 · NIBIB · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ADAMS, MEREDITH C. B. · 2017 to 2020
$737k
NIDA NIH HHS R33 DA046085NLM NIH HHS T15 LM012502
6 · The paper itself

Abstract

BACKGROUND AND

objectivePrimary care providers (PCPs) use poorly organized patient information in electronic health records (EHR) within a limited time when treating patients with chronic pain. Clinical decision support (CDS) tools assist PCPs by synthesizing patient information and prompting guideline-concordant treatment decisions. A CDS tool- Chronic Pain OneSheet was developed through a user-centered design process to support PCP's decision-making for patients with chronic noncancer pain. OneSheet aggregates relevant patient information in one place in the EHR. OneSheet also guides PCPs in completing guideline-recommended opioid risk management tasks, tracking patient treatments, and documenting pain-related symptoms. Our objective was to identify barriers, facilitators, and recommendations to increase OneSheet use for chronic noncancer pain management in primary care.

methodsWe conducted 19 qualitative interviews with PCPs from two academic health systems who had access to OneSheet in their EHR. Interview transcripts were coded to identify common themes using a modified thematic approach.

resultsPCPs identified several barriers to using OneSheet, including limited time to address patient needs associated with multiple chronic conditions, resistance to changing established workflows, and complex OneSheet display. PCPs reported several facilitators to using OneSheet, such as OneSheet's ability to serve as a hub for chronic pain data, easy access to features that facilitate completing mandatory tasks and improved planning for certain patient visits. PCPs recommended prioritizing access to commonly used features, adding display customization capabilities, and expanding access to patients and other team members to increase OneSheet use.

conclusionOur findings highlight the importance of acknowledging the PCP workflow and task load when designing CDS tools. Future CDS tools should balance the extent of information provided with assisting PCPs to fulfill mandatory tasks. Expanding CDS tools to multiple care team members and patients can also lead to higher use by facilitating data entry, leading to more streamlined care delivery.

Indexed as

Chronic PainDecision Support Systems, ClinicalElectronic Health RecordsPrimary Health CareAdultAttitude of Health PersonnelFemaleHumansMaleMiddle AgedPain ManagementChronic painClinical decision support toolPrimary careUse

Identifiers

PMID39427385
PMCPMC11575684

What OpenQuestion holds

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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.