Evidence map›Paper›PMID 29949816›Full record

ArticleApplied clinical informatics2018

Incorporating Guideline Adherence and Practice Implementation Issues into the Design of Decision Support for Beta-Blocker Titration for Heart Failure.

Michael W Smith, Charnetta Brown, Salim S Virani, Charlene R Weir, Laura A Petersen, Natalie Kelly, Julia Akeroyd, Jennifer H Garvin

Open access · bronzeAbstract read
In one paragraph

Article in Applied clinical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

7 citing papers in PubMed, 11 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

8 authors at 5 institutions in 2 countries.

Michael W SmithDepartment of Industrial & Mechanical Engineering, Universidad de las Americas Puebla, Cholula, PUE, Mexico.
Charnetta BrownHouston VA HSR&D Center for Innovations in Quality, Effectiveness, and Safety, Houston, Texas, United States.
Salim S ViraniHouston VA HSR&D Center for Innovations in Quality, Effectiveness, and Safety, Houston, Texas, United States.
Charlene R WeirSalt Lake City VA Health Care System HSR&D Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, Utah, United States.
Laura A PetersenHouston VA HSR&D Center for Innovations in Quality, Effectiveness, and Safety, Houston, Texas, United States.
Natalie KellySalt Lake City VA Health Care System HSR&D Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, Utah, United States.
Julia AkeroydHouston VA HSR&D Center for Innovations in Quality, Effectiveness, and Safety, Houston, Texas, United States.
Jennifer H GarvinSalt Lake City VA Health Care System HSR&D Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, Utah, United States.
Baylor College of Medicine · USCenter for Innovation · USUniversity of Utah · USUniversidad de las Américas Puebla · MXVA Salt Lake City Healthcare System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe recognition of and response to undertreatment of heart failure (HF) patients can be complicated. A clinical reminder can facilitate use of guideline-concordant β-blocker titration for HF patients with depressed ejection fraction. However, the design must consider the cognitive demands on the providers and the context of the work.

objectiveThis study's purpose is to develop requirements for a clinical decision support tool (a clinical reminder) by analyzing the cognitive demands of the task along with the factors in the Cabana framework of physician adherence to guidelines, the health information technology (HIT) sociotechnical framework, and the Promoting Action on Research Implementation in Health Services (PARIHS) framework of health services implementation. It utilizes a tool that extracts information from medical records (including ejection fraction in free text reports) to identify qualifying patients at risk of undertreatment.

methodsWe conducted interviews with 17 primary care providers, 5 PharmDs, and 5 Registered Nurses across three Veterans Health Administration outpatient clinics. The interviews were based on cognitive task analysis (CTA) methods and enhanced through the inclusion of the Cabana, HIT sociotechnical, and PARIHS frameworks. The analysis of the interview data led to the development of requirements and a prototype design for a clinical reminder. We conducted a small pilot usability assessment of the clinical reminder using realistic clinical scenarios.

resultsWe identified organizational challenges (such as time pressures and underuse of pharmacists), knowledge issues regarding the guideline, and information needs regarding patient history and treatment status. We based the design of the clinical reminder on how to best address these challenges. The usability assessment indicated the tool could help the decision and titration processes.

conclusionThrough the use of CTA methods enhanced with adherence, sociotechnical, and implementation frameworks, we designed a decision support tool that considers important challenges in the decision and execution of β-blocker titration for qualifying HF patients at risk of undertreatment.

Indexed as

Decision Support Systems, ClinicalGuideline AdherenceAdrenergic beta-AntagonistsDose-Response Relationship, DrugHeart FailureHumansUser-Computer InterfaceAdrenergic beta-Antagonists

Identifiers

PMID29949816
PMCPMC6021972
OpenAlexW2811018247

What OpenQuestion holds

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Registered trials

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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.