Evidence map›Paper›PMID 35977248›Full record

Trial reportJAMA health forum2022

Effect of Integrating Access to a Prescription Drug Monitoring Program Within the Electronic Health Record on the Frequency of Queries by Primary Care Clinicians: A Cluster Randomized Clinical Trial.

Hannah T Neprash, David M Vock, Alexandra Hanson, Brent Elert, Sonja Short, Pinar Karaca-Mandic, Alexander J Rothman, Genevieve B Melton, David Satin, Rebecca Markowitz and 1 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA health forum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04601506 (PRescribing INterventions for Chronic Pain Via the Electronic Health Record Study - Primary Care Providers), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.9field-weighted citation impact, top 6% 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.

NCT04601506 nacompletednot on this map

PRescribing INterventions for Chronic Pain Via the Electronic Health Record Study - Primary Care Providers

TypeinterventionalSponsorUniversity of MinnesotaRan2020 to 2021Enrolled472ConditionsOpioid-use Disorder, Opioid Use, Opioid AbuseArmsChoice Architecture Nudge, PMP Integration & Nudge
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 30 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Hannah T NeprashDivision of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis.
David M VockDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis.
Alexandra HansonFairview Health Services, Minneapolis, Minnesota.
Brent ElertFairview Health Services, Minneapolis, Minnesota.
Sonja ShortFairview Health Services, Minneapolis, Minnesota.
Pinar Karaca-MandicCarlson School of Management, University of Minnesota, Minneapolis.
Alexander J RothmanDepartment of Psychology, College of Liberal Arts, University of Minnesota, Minneapolis.
Genevieve B MeltonFairview Health Services, Minneapolis, Minnesota.
David SatinDepartment of Family Medicine and Community Health, Medical School, University of Minnesota, Minneapolis.
Rebecca MarkowitzFairview Health Services, Minneapolis, Minnesota.
Ezra GolbersteinDivision of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis.
University of Minnesota · USFairview Health Services · USUniversity of Minnesota Medical Center · US

Funding

PRescribing INterventions for Chronic pain via the Electronic medical record (PRINCE)R33DA046084 · NIDA · UNIVERSITY OF MINNESOTA · PI GOLBERSTEIN, EZRA · 2019 to 2021
$1.8M
NIDA NIH HHS R33 DA046084
6 · The paper itself

Abstract

Importance: Tools that are directly integrated with the electronic health record (EHR) workflow can reduce the hassle cost of certain guideline-concordant practices, such as querying a prescription drug monitoring program (PDMP) before prescribing opioids. Objective: To investigate the effect of integrating access to a PDMP within the EHR on the frequency of program queries by primary care clinicians. Design Settings and Participants: The PRINCE (Prescribing Interventions for Chronic Pain Using the Electronic Health Record) randomized trial used a factorial cluster design at the clinic level in 43 primary care clinics in Minnesota. In all, 309 clinicians participated; 161 clinicians were given EHR-integrated access to PDMP at the intervention clinics, and 148 clinicians had the usual access at the control clinics. The intervention went live on August 27, 2020, and data were collected through March 3, 2021. Intervention: Single sign-on access to the Minnesota PDMP was integrated into the EHR, allowing clinicians to query a patient's controlled substance prescription and dispensing history as recorded in the Minnesota PDMP directly from the patient's EHR record without logging into a separate web portal. Additionally, the integration tool alerted clinicians and reminded them to review the PDMP if a patient had 3 or more opioid prescriptions in the past year and 1 or more in the past 6 months. Clinics in the control group did not receive access to the EHR-integrated PDMP tool; instead, these participants logged into the PDMP web portal separately. Main Outcomes and Measures: Monthly PDMP query counts for primary care clinicians, overall and by modality (EHR-based, web-based, via a clinical delegate), adjusted for clinician characteristics, including type (physician, nurse practitioner, physician assistant), sex, and years in practice. Data were analyzed from August 2021 to May 2022. Results: Of the 43 participating clinics with 309 clinicians, 21 clinics with 161 clinicians (102 [63.4%] women; 114 [70.8%] physicians; tenure, 10.6 [4.4] years) received the PDMP integration intervention. Baseline unadjusted monthly PDMP query rates for the average clinician were 6.6 (95% CI, 4.4-9.9) vs 8.8 (95% CI, 6.0-13.1) queries in the control vs the PDMP integration group, respectively. During the intervention, PDMP query rates for the average clinician were 6.9 (95% CI, 4.7-10.3) vs 14.8 (95% CI, 10.0-22.0) queries among the control vs the PDMP integration group, respectively. Compared with the control group, the EHR-integrated PDMP tool produced a 60% greater increase in the relative change in monthly PDMP queries (95% CI, 51%-70%). An increase in PDMP queries via the EHR-integrated PDMP tool drove this increase, while web-based and delegate queries declined by 39% more among the intervention compared with the control group (95% CI, 34%-43%). Conclusions and Relevance: This cluster randomized clinical trial found that integrating access to the PDMP in the EHR increased PDMP-querying rates, suggesting that direct access reduced hassle costs and can dramatically improve adherence to guideline-concordant care practices among primary care clinicians. Trial Registration: ClinicalTrials.gov Identifier: NCT04601506.

Indexed as

Prescription Drug Monitoring ProgramsAnalgesics, OpioidControlled SubstancesElectronic Health RecordsFemaleHumansMalePrimary Health CareAnalgesics, OpioidControlled Substances

Identifiers

PMID35977248
PMCPMC9168784
OpenAlexW4281720875

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.