Evidence map›Paper›PMID 34345793›Full record

ArticleJMIR nursing

Improving the Safety, Effectiveness, and Efficiency of Clinical Alarm Systems: Simulation-Based Usability Testing of Physiologic Monitors.

Azizeh K Sowan, Nancy Staggers, Andrea Berndt, Tommye Austin, Charles C Reed, Ashwin Malshe, Max Kilger, Elma Fonseca, Ana Vera, Qian Chen

Abstract read
In one paragraph

Article in JMIR nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. 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

10 authors.

Azizeh K SowanSchool of Nursing University of Texas Health at San Antonio San Antonio, TX United States.ORCID https://orcid.org/0000-0001-7719-2037
Nancy StaggersSchool of Nursing and Department of Biomedical Informatics University of Utah Salt Lake City, UT United States.ORCID https://orcid.org/0000-0002-0960-341X
Andrea BerndtSchool of Nursing University of Texas Health at San Antonio San Antonio, TX United States.ORCID https://orcid.org/0000-0002-4658-5230
Tommye AustinUniversity Health San Antonio, TX United States.ORCID https://orcid.org/0000-0001-5604-1045
Charles C ReedUniversity Health San Antonio, TX United States.ORCID https://orcid.org/0000-0001-6037-538X
Ashwin MalsheCollege of Business University of Texas at San Antonio San Antonio, TX United States.ORCID https://orcid.org/0000-0002-3429-4268
Max KilgerCollege of Business University of Texas at San Antonio San Antonio, TX United States.ORCID https://orcid.org/0000-0001-7502-8313
Elma FonsecaUniversity Health San Antonio, TX United States.ORCID https://orcid.org/0000-0002-7214-8018
Ana VeraUniversity Health San Antonio, TX United States.ORCID https://orcid.org/0000-0002-6851-3967
Qian ChenCollege of Electrical and Computer Engineering University of Texas at San Antonio San Antonio, TX United States.ORCID https://orcid.org/0000-0002-0130-5901

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical alarm system safety is a national patient safety goal in the United States. Physiologic monitors are associated with the highest number of device alarms and alarm-related deaths. However, research involving nurses' use of physiologic monitors is rare. Hence, the identification of critical usability issues for monitors, especially those related to patient safety, is a nursing imperative.

objectiveThis study examined nurses' usability of physiologic monitors in intensive care units with respect to the effectiveness and efficiency of monitor use.

methodsIn total, 30 nurses from 4 adult intensive care units completed 40 tasks in a simulation environment. The tasks were common monitoring tasks that were crucial for appropriate monitoring and safe alarm management across four categories of competencies: admitting, transferring, and discharging patients using the monitors (7 tasks); managing measurements and monitor settings (23 tasks); performing electrocardiogram (ECG) analysis (7 tasks); and troubleshooting alarm conditions (3 tasks). The nurse-monitor interaction was video-recorded. The principal investigator and two expert intensive care units nurse educators identified, classified, and validated task success (effectiveness) and the time of task completion (efficiency).

resultsAmong the 40 tasks, only 2 (5%) were successfully completed by all the nurses. At least 1-27 (3%-90%) nurses abandoned or did not correctly perform 38 tasks. The task with the shortest completion time was "take monitor out of standby" (mean 0:02, SD 0:01 min:s), whereas the task "record a 25 mm/s ECG strip of any of the ECG leads" had the longest completion time (mean 1:14, SD 0:32 min:s). The total time to complete 37 navigation-related tasks ranged from a minimum of 3 min 57 s to a maximum of 32 min 42 s. Regression analysis showed that it took 6 s per click or step to successfully complete a task. To understand the nurses' thought processes during monitor navigation, the authors analyzed the paths of the 2 tasks with the lowest successful completion rates, where only 13% (4/30) of the nurses correctly completed these 2 tasks. Although 30% (9/30) of the nurses accessed the correct screen first for task 1 and task 2, they could not find their way easily from there to successfully complete the 2 tasks.

conclusionsUsability testing of physiologic monitors revealed major ineffectiveness and inefficiencies in the current nurse-monitor interactions. The results indicate the potential for safety and productivity issues in completing routine tasks. Training on monitor use should include critical monitoring functions that are necessary for safe, effective, efficient, and appropriate monitoring to include knowledge of the shortest navigation path. It is imperative that vendors' future monitor designs mimic clinicians' thought processes for successful, safe, and efficient monitor navigation.

Indexed as

clinical alarmscritical carefatiguenursingpatient safetyusability testing

Identifiers

PMID34345793
PMCPMC8328265

What OpenQuestion holds

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LicenceCC BY
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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.