@article {Gn{\"a}dingere007773, author = {Markus Gn{\"a}dinger and Alessandro Ceschi and Dieter Conen and Lilli Herzig and Milo Puhan and Alfred Staehelin and Marco Zoller}, title = {Medication incidents in primary care medicine: protocol of a study by the Swiss Federal Sentinel Reporting System}, volume = {5}, number = {4}, elocation-id = {e007773}, year = {2015}, doi = {10.1136/bmjopen-2015-007773}, publisher = {British Medical Journal Publishing Group}, abstract = {Background/rationale Patient 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 setting: We 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. Participants: Patients 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{\textendash}drug or drug{\textendash}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.}, issn = {2044-6055}, URL = {https://bmjopen.bmj.com/content/5/4/e007773}, eprint = {https://bmjopen.bmj.com/content/5/4/e007773.full.pdf}, journal = {BMJ Open} }