Evidence map›Paper›PMID 25908679›Full record

Trial reportBMJ open2015

Medication incidents in primary care medicine: protocol of a study by the Swiss Federal Sentinel Reporting System.

Markus Gnädinger, Alessandro Ceschi, Dieter Conen, Lilli Herzig, Milo Puhan, Alfred Staehelin, Marco Zoller

Abstract readClinical Trial
In one paragraph

Trial report in BMJ open, 2015. 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
–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

3 citing papers in PubMed.

  1. Observational
  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

7 authors.

Markus GnädingerInstitute of Primary Care, University of Zurich, Zurich, Switzerland.
Alessandro CeschiDepartment of Clinical Pharmacology and Toxicology, University Hospital Zurich, Zürich, Switzerland National Poisons Centre, Tox Info Suisse, Associated Institute of the University of Zurich, University Hospital Zurich, Zürich, Switzerland.
Dieter ConenPatientensicherheit Schweiz, Zürich, UK.
Lilli HerzigPoliclinique Médicale, University of Lausanne, Lausanne, UK.
Milo PuhanEpidemiology, Biostatistics, and Prevention Institute, University of Zurich, Zürich, Switzerland.
Alfred StaehelinInstitute of Primary Care, University of Zurich, Zurich, Switzerland Sentinel Surveillance Network, Swiss Federal Office of Public Health, Bern, Switzerland.
Marco ZollerInstitute of Primary Care, University of Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background/rationalePatient safety is a major concern in healthcare systems worldwide. Although most safety research has been conducted in the inpatient setting, evidence indicates that medical errors and adverse events are a threat to patients in the primary care setting as well. Since information about the frequency and outcomes of safety incidents in primary care is required, the goals of this study are to describe the type, frequency, seasonal and regional distribution of medication incidents in primary care in Switzerland and to elucidate possible risk factors for medication incidents. METHODS AND ANALYSIS: STUDY DESIGN AND

settingWe will conduct a prospective surveillance study to identify cases of medication incidents among primary care patients in Switzerland over the course of the year 2015.

participantsPatients undergoing drug treatment by 167 general practitioners or paediatricians reporting to the Swiss Federal Sentinel Reporting System. INCLUSION CRITERIA: Any erroneous event, as defined by the physician, related to the medication process and interfering with normal treatment course. EXCLUSION CRITERIA: Lack of treatment effect, adverse drug reactions or drug-drug or drug-disease interactions without detectable treatment error. PRIMARY OUTCOME: Medication incidents. RISK FACTORS: Age, gender, polymedication, morbidity, care dependency, hospitalisation. STATISTICAL ANALYSIS: Descriptive statistics to assess type, frequency, seasonal and regional distribution of medication incidents and logistic regression to assess their association with potential risk factors. Estimated sample size: 500 medication incidents. LIMITATIONS: We will take into account under-reporting and selective reporting among others as potential sources of bias or imprecision when interpreting the results. ETHICS AND DISSEMINATION: No formal request was necessary because of fully anonymised data. The results will be published in a peer-reviewed journal. TRIAL REGISTRATION NUMBER: NCT0229537.

Indexed as

FemaleGeneral PracticeHumansLogistic ModelsMaleMedication ErrorsPatient SafetyPediatricsPopulation SurveillancePrimary Health CareProspective StudiesRisk FactorsSurveys and QuestionnairesSwitzerlandCLINICAL PHARMACOLOGYEPIDEMIOLOGYPUBLIC HEALTH

Identifiers

PMID25908679
PMCPMC4410132

What OpenQuestion 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 OpenQuestion graph.