Evidence map›Paper›PMID 34842544›Full record

ArticleJMIR human factors2021

Stakeholder Perspectives on an Inpatient Hypoglycemia Informatics Alert: Mixed Methods Study.

Nestoras Mathioudakis, Moeen Aboabdo, Mohammed S Abusamaan, Christina Yuan, LaPricia Lewis Boyer, Scott J Pilla, Erica Johnson, Sanjay Desai, Amy Knight, Peter Greene and 1 more

Open access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 1 institution in 1 country.

Nestoras Mathioudakis *Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-0210-655X
Moeen AboabdoDivision of Endocrinology, Diabetes & Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-7757-6900
Mohammed S AbusamaanDivision of Endocrinology, Diabetes & Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-9307-1315
Christina YuanDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-9307-9568
LaPricia Lewis BoyerDivision of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0003-2302-9570
Scott J PillaDivision of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-3292-9047
Erica JohnsonDepartment of Medicine, Johns Hopkins Bayview Medical Center, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-6671-7536
Sanjay DesaiDepartment of Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-9759-7696
Amy KnightDepartment of Medicine, Johns Hopkins Bayview Medical Center, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-8522-8108
Peter GreeneDepartment of Cardiac Surgery, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-2524-0217
Sherita H GoldenDivision of Endocrinology, Diabetes & Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-8854-4026
Johns Hopkins University · US

Funding

Implementation and Evaluation of a Real-Time Informatics Alert to Prevent Insulin-Associated Hypoglycemia in the HospitalK23DK111986 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI MATHIOUDAKIS, NESTORAS N · 2016 to 2019
$796k
An intervention to enhance hypoglycemia communication and preventive action in primary careK23DK128572 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI PILLA, SCOTT · 2021 to 2024
$790k
NIDDK NIH HHS K23 DK111986NIDDK NIH HHS K23 DK128572
6 · The paper itself

Abstract

backgroundIatrogenic hypoglycemia is a common occurrence among hospitalized patients and is associated with poor clinical outcomes and increased mortality. Clinical decision support systems can be used to reduce the incidence of this potentially avoidable adverse event.

objectiveThis study aims to determine the desired features and functionality of a real-time informatics alert to prevent iatrogenic hypoglycemia in a hospital setting.

methodsUsing the Agency for Healthcare Research and Quality Five Rights of Effective Clinical Decision Support Framework, we conducted a mixed methods study using an electronic survey and focus group sessions of hospital-based providers. The goal was to elicit stakeholder input to inform the future development of a real-time informatics alert to target iatrogenic hypoglycemia. In addition to perceptions about the importance of the problem and existing barriers, we sought input regarding the content, format, channel, timing, and recipient for the alert (ie, the Five Rights). Thematic analysis of focus group sessions was conducted using deductive and inductive approaches.

resultsA 21-item electronic survey was completed by 102 inpatient-based providers, followed by 2 focus group sessions (6 providers per session). Respondents universally agreed or strongly agreed that inpatient iatrogenic hypoglycemia is an important problem that can be addressed with an informatics alert. Stakeholders expressed a preference for an alert that is nonintrusive, accurate, communicated in near real time to the ordering provider, and provides actionable treatment recommendations. Several electronic medical record tools, including alert indicators in the patient header, glucose management report, and laboratory results section, were deemed acceptable formats for consideration. Concerns regarding alert fatigue were prevalent among both survey respondents and focus group participants.

conclusionsThe design preferences identified in this study will provide the framework needed for an informatics team to develop a prototype alert for pilot testing and evaluation. This alert will help meet the needs of hospital-based clinicians caring for patients with diabetes who are at a high risk of treatment-related hypoglycemia.

Indexed as

clinical decision supporthospitalhypoglycemiainformatics alertinpatient

Identifiers

PMID34842544
PMCPMC8665392
OpenAlexW3200048081

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.