Evidence map›Paper›PMID 39882183›Full record

ArticleJournal of pain research2025

Assessing the Benefit of a Digital Pain Alert System in a Community Hospital.

Liza Grosman-Rimon, Linda Jorgoni, Jane Casey, Susan Tory, Dinesh Kumbhare, Jhanvi Solanki, Barbara E Collins, Pete Wegier

Abstract read
In one paragraph

Article in Journal of pain research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Liza Grosman-RimonHumber River Health, Research Institute, Toronto, Canada.ORCID 0000-0003-1456-6083
Linda JorgoniHumber River Health, Research Institute, Toronto, Canada.
Jane CaseyTampa General Hospital, Tampa, FL, USA.
Susan ToryHumber River Health, Research Institute, Toronto, Canada.
Dinesh KumbhareDepartment of Medicine, Division of Physical Medicine and Rehabilitation, University Health Network, Toronto, Canada.ORCID 0000-0003-3889-7557
Jhanvi SolankiHumber River Health, Research Institute, Toronto, Canada.
Barbara E CollinsHumber River Health, Research Institute, Toronto, Canada.
Pete WegierHumber River Health, Research Institute, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In the last decade, clinical alert systems were developed for clinical use, including patient deterioration and other urgent clinical situations. However, investigations focusing on digital pain alert systems to assess and manage pain on time in in-hospital patients are scarce. The objective of the study was to assess the implementation of digital pain alerts in the various departments of a community hospital. Methods: Administrative data from the year 2020 to 2023 were collected. Only data from cases when pain alert was activated were included. Data included pain alert activation frequency, pain alert response duration (time from pain alert activation to alert stop when medication was administered), the department from which the pain alert was activated. Results: There was a steady significant decrease in the mean pain alert response duration over time from 2020 to 2023. The department with the shortest pain alert response duration was the Department of Surgery, and Cardiology (252.76 ± 4.712). The longest time delay was in the ICU (463.27±2.73 min) and at the Mental Health Department (440.59± 5.46 min) (p < 0.01). The pain alert response duration gradually decreased from 2020 to 2023, with decreases from the first year in all of the units/departments, except for the ICU. NPS scores at the start of the alert to 30 minutes after alert stop decreased significantly. Conclusion: Management of pain improved over time across the hospital, and in most of the departments, suggesting that with experience, digital pain alert systems have the potential to improve pain management by providing timely pain intervention.

Indexed as

command centrecommunity hospitaldigital pain alertpain management

Identifiers

PMID39882183
PMCPMC11776413

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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.