Evidence map›Paper›PMID 28205099›Full record

Observational studyDrug safety2017

Evaluation of Potentially Drug-Related Patient-Reported Common Symptoms Assessed During Clinical Medication Reviews: A Cross-Sectional Observational Study.

Tim W A Schoenmakers, Martina Teichert, Michel Wensing, Peter A G M de Smet

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Drug safety, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
0.9field-weighted citation impact, top 27% 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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  3. Patient-Reported Questionnaires to Identify Adverse Drug Reactions: A Systematic Review.International journal of environmental research and public health · 2021
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  16. Analysis of adverse drug events as a way to improve cancer patient care.European journal of hospital pharmacy : science and practice · 2023
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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

4 authors at 2 institutions in 2 countries.

Tim W A SchoenmakersDepartment of IQ Healthcare, Radboud university medical center, Radboud Institute for Health Sciences, PO Box 9101, 6500 HB, Nijmegen, The Netherlands. tim.schoenmakers@radboudumc.nl.
Martina TeichertDepartment of IQ Healthcare, Radboud university medical center, Radboud Institute for Health Sciences, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.
Michel WensingDepartment of IQ Healthcare, Radboud university medical center, Radboud Institute for Health Sciences, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.
Peter A G M de SmetDepartment of IQ Healthcare, Radboud university medical center, Radboud Institute for Health Sciences, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.
Radboud University Nijmegen · NLRadboud Institute for Molecular Life Sciences · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHealthcare professionals tend to consider common non-alarming drug-related symptoms to be of little clinical relevance. However, such symptoms can have a substantial impact on the individual patient. Insight into patient-reported symptoms could aid pharmacists to identify improvements in medication treatment, for instance in the patient interview at the start of a clinical medication review (CMR).

objectiveThe objectives of this study were to describe the numbers and types of patient-reported symptoms assessed during a CMR and to elucidate their potential association with the drugs in use.

methodsThis observational study was performed using data from a clinical trial on patient-reported outcomes of CMRs. Patients taking at least five drugs and who were eligible for a CMR were selected by 15 community pharmacies. Patients were asked to fill in a structured instrument, the Patient Reported Outcome Measure, Inquiry into Side Effects (PROMISE). Among other domains, this instrument offers a list of 22 symptom categories to report symptoms and their relationship with the drugs in use. The results of the PROMISE instrument together with information on patients' actual drug use were available for analysis. Besides descriptive analysis, associations with side effects as listed in the summary of product characteristics (SPC) of the drugs in use were assessed with logistic regression analysis.

resultsOf the 180 patients included, 168 patients (93.3%) reported at least one symptom via the PROMISE instrument, which could be discussed with the pharmacist during the patient interview. In total, the patients reported 1102 symptoms in 22 symptom categories. Of these patients, 101 (56.1%) assumed that at one or more of the symptoms experienced were related to the drugs in use and 107 (59.4%) reported at least one symptom that corresponded to a 'very common' side effect listed in the SPC of a drug in use. Each additional drug in use with a specific symptom listed as a 'very common' side effect in its SPC statistically significantly increased the probability of a patient reporting the symptoms of 'dry mouth/thirst, mouth complaints', 'constipation', 'diarrhoea' and 'sweating'.

conclusionMany patient-reported symptoms and symptoms potentially related to drugs in use were identified by administering the PROMISE instrument to users of at least five drugs being taking long-term. This information can be used in CMRs to improve patients' drug therapy.

Indexed as

AdultAgedAged, 80 and overCommunity Pharmacy ServicesCross-Sectional StudiesDrug-Related Side Effects and Adverse ReactionsFemaleHumansLogistic ModelsMaleMedication Therapy ManagementMiddle AgedPatient Reported Outcome MeasuresPharmacists

Identifiers

PMID28205099
PMCPMC5384965
OpenAlexW2588442423

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.