Evidence map›Paper›PMID 35673054›Full record

ReviewStudies in health technology and informatics2022

The Role of Informatics in Implementing Guidelines for Chronic Opioid Therapy Risk Assessment in Primary Care: A Narrative Review Informed by the Socio-Technical Model.

Meenakshi Mishra, Mary Pickett, Nicole G Weiskopf

Open access · hybridAbstract readReview
In one paragraph

Review in Studies in health technology and informatics, 2022. 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
–field-weighted citation impact, top 81% 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, 0 citations in OpenAlex.

  1. Trial
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

3 authors at 1 institution in 1 country.

Meenakshi MishraDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA.
Mary PickettDivision of General Internal Medicine and Geriatrics, Oregon Health and Science University, Portland, OR, USA.
Nicole G WeiskopfDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA.
Oregon Health & Science University · US

Funding

TRAINING PROGRAM IN HEALTH INFORMATICST15LM007088 · NLM · OREGON HEALTH & SCIENCE UNIVERSITY · PI WILLIAM R HERSH, Vishnu Mohan · 1992 to 2026
$23.4M
NLM NIH HHS T15 LM007088
6 · The paper itself

Abstract

Approximately 2 million Americans live with opioid use disorder (OUD), most of whom also have chronic pain. The economic burden of chronic pain and prescription opioid misuse runs into billions of dollars. Patients on prescription opioids for chronic non-cancer pain (CNCP) are at increased risk for OUD and overdose. By adhering to the Center for Disease Control and Prevention (CDC) opioid prescribing guidelines, primary care providers (PCPs) have the potential to improve patient outcomes. But numerous provider, patient, and practice-specific factors challenge adherence to guidelines in primary care. Many of the barriers may be mediated by informatics interventions, but gaps in knowledge and unmet needs exist. This narrative review examines the risk assessment and harm reduction process in a socio-technical context to highlight the gaps in knowledge and unmet needs that can be mediated through informatics intervention.

Indexed as

Chronic PainOpioid-Related DisordersAnalgesics, OpioidHumansInformaticsPractice Patterns, Physicians'Primary Health CareRisk AssessmentUnited StatesAnalgesics, Opioidimplementation sciencePractice guidelinessocio-technical context

Identifiers

PMID35673054
PMCPMC10128894
OpenAlexW4281638285

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.