Evidence map›Paper›PMID 36402988›Full record

Trial reportBMC medical informatics and decision making2022

Clinician perceptions of a clinical decision support system to reduce cardiovascular risk among prediabetes patients in a predominantly rural healthcare system.

Daniel M Saman, Clayton I Allen, Laura A Freitag, Melissa L Harry, JoAnn M Sperl-Hillen, Jeanette Y Ziegenfuss, Jacob L Haapala, A Lauren Crain, Jay R Desai, Kris A Ohnsorg and 1 more

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

Trial report in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02759055 (Improving Prediabetes Cardiovascular Care With EHR-Based Decision Support), which is not on this 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 75% 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.

NCT02759055 nacompletednot on this map

Improving Prediabetes Cardiovascular Care With EHR-Based Decision Support

TypeinterventionalSponsorHealthPartners InstituteRan2016 to 2019Enrolled21,664ConditionsPre-diabetesArmsClinical Decision Support
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 0 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

11 authors at 3 institutions in 1 country.

Daniel M SamanCarle Foundation Hospital Clinical Business and Intelligence, 611 W Park Street, Urbana, IL, 61801, USA.
Clayton I AllenEssentia Institute of Rural Health, 502 E. Second Street, 6AV-2, Duluth, MN, 55805, USA.
Laura A FreitagEssentia Institute of Rural Health, 502 E. Second Street, 6AV-2, Duluth, MN, 55805, USA.
Melissa L HarryEssentia Institute of Rural Health, 502 E. Second Street, 6AV-2, Duluth, MN, 55805, USA. Melissa.Harry@EssentiaHealth.org.
JoAnn M Sperl-HillenHealthPartners Institute, 3311 E. Old Shakopee Road, Bloomington, MN, 55425, USA.
Jeanette Y ZiegenfussHealthPartners Institute, 3311 E. Old Shakopee Road, Bloomington, MN, 55425, USA.
Jacob L HaapalaHealthPartners Institute, 3311 E. Old Shakopee Road, Bloomington, MN, 55425, USA.
A Lauren CrainHealthPartners Institute, 3311 E. Old Shakopee Road, Bloomington, MN, 55425, USA.
Jay R DesaiHealthPartners Institute, 3311 E. Old Shakopee Road, Bloomington, MN, 55425, USA.
Kris A OhnsorgHealthPartners Institute, 3311 E. Old Shakopee Road, Bloomington, MN, 55425, USA.
Patrick J O'ConnorHealthPartners Institute, 3311 E. Old Shakopee Road, Bloomington, MN, 55425, USA.
HealthPartners · USEssentia Health · USMinnesota Department of Health · US

Funding

Reducing CV Risk in Prediabetes Patients Using EHR-Based Decision SupportR01HL128614 · NHLBI · HEALTHPARTNERS INSTITUTE · PI DESAI, JAY R, O'CONNOR, PATRICK J · 2015 to 2019
$3.7M
NHLBI NIH HHS R01 HL128614
6 · The paper itself

Abstract

backgroundThe early detection and management of uncontrolled cardiovascular risk factors among prediabetes patients can prevent cardiovascular disease (CVD). Prediabetes increases the risk of CVD, which is a leading cause of death in the United States. CVD clinical decision support (CDS) in primary care settings has the potential to reduce cardiovascular risk in patients with prediabetes while potentially saving clinicians time. The objective of this study is to understand primary care clinician (PCC) perceptions of a CDS system designed to reduce CVD risk in adults with prediabetes.

methodsWe administered pre-CDS implementation (6/30/2016 to 8/25/2016) (n = 183, 61% response rate) and post-CDS implementation (6/12/2019 to 8/7/2019) (n = 131, 44.5% response rate) independent cross-sectional electronic surveys to PCCs at 36 randomized primary care clinics participating in a federally funded study of a CVD risk reduction CDS tool. Surveys assessed PCC demographics, experiences in delivering prediabetes care, perceptions of CDS impact on shared decision making, perception of CDS impact on control of major CVD risk factors, and overall perceptions of the CDS tool when managing cardiovascular risk.

resultsWe found few significant differences when comparing pre- and post-implementation responses across CDS intervention and usual care (UC) clinics. A majority of PCCs felt well-prepared to discuss CVD risk factor control with patients both pre- and post-implementation. About 73% of PCCs at CDS intervention clinics agreed that the CDS helped improve risk control, 68% reported the CDS added value to patient clinic visits, and 72% reported they would recommend use of this CDS system to colleagues. However, most PCCs disagreed that the CDS saves time talking about preventing diabetes or CVD, and most PCCs also did not find the clinical domains useful, nor did PCCs believe that the clinical domains were useful in getting patients to take action. Finally, only about 38% reported they were satisfied with the CDS.

conclusionsThese results improve our understanding of CDS user experience and can be used to guide iterative improvement of the CDS. While most PCCs agreed the CDS improves CVD and diabetes risk factor control, they were generally not satisfied with the CDS. Moreover, only 40-50% agreed that specific suggestions on clinical domains helped patients to take action. In spite of this, an overwhelming majority reported they would recommend the CDS to colleagues, pointing for the need to improve upon the current CDS.

trial registrationNCT02759055 03/05/2016.

Indexed as

Cardiovascular DiseasesDecision Support Systems, ClinicalDiabetes MellitusPrediabetic StateAdultCross-Sectional StudiesDelivery of Health CareHeart Disease Risk FactorsHumansRisk FactorsUnited StatesAdvanced practice providerCardiovascular diseaseCardiovascular riskClinical decision supportDiabetesDyslipidemiaElectronic medical recordHypertensionPrediabetesPrimary care clinician

Identifiers

PMID36402988
PMCPMC9675125
OpenAlexW4309561482

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.