Evidence map›Paper›PMID 41238200›Full record

Observational studyApplied clinical informatics2025

Patient Participation in Monitoring Potential Adverse Drug Events.

Kerstin Jorsäter Blomgren, Johan Fastbom

Abstract readObservational Study
In one paragraph

Observational study in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Kerstin Jorsäter BlomgrenSchool of Health, Care and Social Welfare, Mälardalen University, Eskilstuna, Sweden.
Johan FastbomAging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden.

Funding

Swedish Research Council for Health, Working Life and Welfare 2014-4990
6 · The paper itself

Abstract

Clinical decision support systems (CDSS) have been suggested to be helpful in detecting and preventing drug-related problems such as adverse drug events (ADEs). However, patient participation systems monitoring self-reported data, such as symptoms, are still sparsely described in the literature.This study aimed to investigate if the use of a patient participating CDSS (PCDSS) can facilitate early detection of ADEs, thereby contributing to safer drug treatment in older adults.A 1-year prospective observational study of elderly patients using a free web-based PCDSS to register symptoms over time at home. Initially, the PCDSS analyzed the extent and quality of the patient's drug use, based on a Swedish national set of criteria, and assessed drug-related symptoms using a standardized scale (PHASE-20). Thereafter, the patients recorded symptoms at home for 1 year-the first 6 months in free text, the second 6 months selecting from 19 predefined symptoms. The PCDSS signaled when symptoms were registered on three occasions in a 3-week period. The patient was then asked to contact his/her nurse at the healthcare center (HCC) for assessment of the symptoms and decisions on further contacts with the nurse or doctor. We analyzed the extent of signals generated, accompanying contacts, and associated medication reviews and adjustments.The 48 study participants registered 1,275 symptoms during the monitoring period, 61% by women. The PCDSS generated a total of 171 signals, of which 58% from women. Seventy-one percent (121) occurred under the first registration (free text) period. Of all signals, 44% (75) led to activities at the HCC, of which 48% (36) were physician contacts. In total, they contributed to medication reviews in 42% (15) and medication adjustments in 64% (23), with a total of 33 adjustments.Patient participation by self-reporting symptoms via a PCDSS can contribute to safer drug use.

Indexed as

Decision Support Systems, ClinicalDrug-Related Side Effects and Adverse ReactionsPatient ParticipationAgedAged, 80 and overFemaleHumansMaleProspective Studies

Identifiers

PMID41238200
PMCPMC12618149

What Socratic 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 Socratic graph.