Evidence map›Paper›PMID 33907982›Full record

ArticleJournal of general internal medicine2022

Why Test Results Are Still Getting "Lost" to Follow-up: a Qualitative Study of Implementation Gaps.

Andrew J Zimolzak, Umber Shahid, Traber D Giardina, Sahar A Memon, Umair Mushtaq, Lisa Zubkoff, Daniel R Murphy, Andrea Bradford, Hardeep Singh

Registry-linked trialAbstract read
In one paragraph

Article in Journal of general internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04166240 (Measuring and Improving the Safety of Test Result Follow-Up), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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.

NCT04166240 nacompletednot on this map

Measuring and Improving the Safety of Test Result Follow-Up

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2018 to 2023Enrolled46ConditionsLung Cancer, Breast Cancer, Colon Cancer, Bladder CancerArmsSAFER TRACKS Intervention
3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Trial
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  5. Review
  6. Observational
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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

9 authors.

Andrew J ZimolzakCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Baylor College of Medicine, 2002 Holcombe Boulevard 152, Houston, TX, 77030, USA.
Umber ShahidCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Baylor College of Medicine, 2002 Holcombe Boulevard 152, Houston, TX, 77030, USA.
Traber D GiardinaCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Baylor College of Medicine, 2002 Holcombe Boulevard 152, Houston, TX, 77030, USA.
Sahar A MemonCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Baylor College of Medicine, 2002 Holcombe Boulevard 152, Houston, TX, 77030, USA.
Umair MushtaqCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Baylor College of Medicine, 2002 Holcombe Boulevard 152, Houston, TX, 77030, USA.
Lisa ZubkoffBirmingham/Atlanta VA GRECC, and Division of Preventive Medicine, Department of Veterans Affairs and Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Daniel R MurphyCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Baylor College of Medicine, 2002 Holcombe Boulevard 152, Houston, TX, 77030, USA.
Andrea BradfordCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Baylor College of Medicine, 2002 Holcombe Boulevard 152, Houston, TX, 77030, USA.
Hardeep SinghCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Baylor College of Medicine, 2002 Holcombe Boulevard 152, Houston, TX, 77030, USA. hardeeps@bcm.edu.

Funding

Application of a Machine Learning to Enhance e-Triggers to Detect and Learn from Diagnostic Safety EventsR01HS027363 · AHRQ · BAYLOR COLLEGE OF MEDICINE · PI SINGH, HARDEEP · 2019 to 2021
$1.5M
Measuring and Improving the Safety of Test Result Follow-UpI01HX002439 · VA · MICHAEL E DEBAKEY VA MEDICAL CENTER · PI SINGH, HARDEEP · 2019 to 2024
–
AHRQ HHS R01 HS027363AHRQ HHS R01HS27363Cancer Research UK C8640/A23385HSRD VA I01 HX002439VA CIN13-413VA IIR17-127VA USA 14-274
6 · The paper itself

Abstract

backgroundLack of timely follow-up of abnormal test results is common and has been implicated in missed or delayed diagnosis, resulting in potential for patient harm.

objectiveAs part of a larger project to implement change strategies to improve follow-up of diagnostic test results, this study sought to identify specifically where implementation gaps exist, as well as possible solutions identified by front-line staff.

designWe used a semi-structured interview guide to collect qualitative data from Veterans Affairs (VA) facility staff who had experience with test results management and patient safety.

settingTwelve VA facilities across the USA.

participantsFacility staff members (n = 27), including clinicians, lab and imaging professionals, nursing staff, patient safety professionals, and leadership. APPROACH: We conducted a content analysis of interview transcripts to identify perceived barriers and high-risk areas for effective test result management, as well as recommendations for improvement.

resultsWe identified seven themes to guide further development of interventions to improve test result follow-up. Themes related to trainees, incidental findings, tracking systems for electronic health record notifications, outdated contact information, referrals, backup or covering providers, and responsibility for test results pending at discharge. Participants provided recommendations for improvement within each theme.

conclusionsPerceived barriers and recommendations for improving test result follow-up often reflected previously known problems and their corresponding solutions, which have not been consistently implemented in practice. Better policy solutions and improvement methods, such as quality improvement collaboratives, may bridge the implementation gaps between knowledge and practice.

Indexed as

Electronic Health RecordsQuality ImprovementHumansLeadershipQualitative Research

Identifiers

PMID33907982
PMCPMC8739406

What OpenQuestion holds

Textmetadata
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.