[17 years of the critical incident reporting and learning system "jeder-fehler-zaehlt.de" for primary care: Analysis of reports]. / 17 Jahre hausärztliches Fehlerberichts- und Lernsystem "jeder-fehler-zaehlt.de" ­ Analyse des Berichtsbestandes.

BACKGROUND: The topic of patient safety has been a subject of much discussion since the end of the last millennium. Ensuring patient safety is a central challenge in health care. An important tool to raise awareness for and learn from adverse events and thus promote patient safety are error-reporting and learning systems (Critical Incident Reporting System = CIRS). METHODS: More than 17 years after its establishment, the CIRS "jeder-fehler-zaehlt.de" (JFZ) for German primary care has undergone a revision in terms of content and technology. The revised web-based system can be used for reporting as well as for classifying and analyzing incident reports. During this process, a descriptive analysis of the current report inventory was carried out, with a focus on serious medication errors. This included all 781 valid incident reports received between September 2004 and December 2021. RESULTS: In 576 of the 781 reports (73.8%), the GP practice was directly involved in the critical incident. Among error types, process errors predominated (79.8% of the classifications, 99.1% of the reports) compared with knowledge and skills errors (20.2% of the classifications, 39.7% of the reports). Communication errors (63.0%) were the most common contributing factor to critical incidents, followed by flaws in tasks and measures (39.7%). Serious and permanent patient harm was rarely reported (8.3% of the reports), whereas temporary patient harm was more common (40.3% of the reports). Incident reports about medication errors with at least serious patient harm included, in particular, substances that affected blood clotting, corticosteroids, and opiates. DISCUSSION: Our results complement the rates that are reported internationally for error types, patient harm, and contributing factors. Serious but preventable adverse events, so-called never events, are frequently associated with the medication process in both JFZ reports and the literature. CONCLUSION: Critical incident reporting systems cannot provide accurate information about the frequency of errors in health care, but they can offer important insights into, for example, serious medication errors. Therefore, they offer both employees and healthcare institutions an opportunity for individual and institutional learning.

Strength of Safety Measures Introduced by Medical Practices to Prevent a Recurrence of Patient Safety Incidents: An Observational Study.

OBJECTIVE: The aim of this study was to analyze the strength of safety measures described in incident reports in outpatient care. METHODS: An incident reporting project in German outpatient care included 184 medical practices with differing fields of specialization. The practices were invited to submit anonymous incident reports to the project team 3 times for 17 months. Using a 14-item coding scheme based on international recommendations, we deductively coded the incident reports and safety measures. Safety measures were classified as "strong" (likely to be effective and sustainable), "intermediate" (possibly effective and sustainable), or "weak" (less likely to be effective and sustainable). RESULTS: The practices submitted 245 incident reports. In 160 of them, 243 preventive measures were described, or an average of 1.5 per report. The number of documented measures varied from 1 in 67% to 4 in 5% of them. Four preventive measures (2%) were classified as strong, 37 (15%) as intermediate, and 202 (83%) as weak. The most frequently mentioned measures were "new procedure/policy" (n = 121) and "information/notification/warning" (n = 45). CONCLUSIONS: The study provides examples of critical incidents in medical practices and for the first time examines the strength of ensuing measures introduced in outpatient care. Overall, the proportion of weak measures is (too) high, indicating that practices need more support in identifying strong measures.

Effectiveness of the application of an electronic medication management support system in patients with polypharmacy in general practice: a study protocol of cluster-randomised controlled trial (AdAM).

INTRODUCTION: Clinically complex patients often require multiple medications. Polypharmacy is associated with inappropriate prescriptions, which may lead to negative outcomes. Few effective tools are available to help physicians optimise patient medication. This study assesses whether an electronic medication management support system (eMMa) reduces hospitalisation and mortality and improves prescription quality/safety in patients with polypharmacy. METHODS AND ANALYSIS: Planned design: pragmatic, parallel cluster-randomised controlled trial; general practices as randomisation unit; patients as analysis unit. As practice recruitment was poor, we included additional data to our primary endpoint analysis for practices and quarters from October 2017 to March 2021. Since randomisation was performed in waves, final study design corresponds to a stepped-wedge design with open cohort and step-length of one quarter. SCOPE: general practices, Westphalia-Lippe (Germany), caring for BARMER health fund-covered patients. POPULATION: patients (≥18 years) with polypharmacy (≥5 prescriptions). SAMPLE SIZE: initially, 32 patients from each of 539 practices were required for each study arm (17 200 patients/arm), but only 688 practices were randomised after 2 years of recruitment. Design change ensures that 80% power is nonetheless achieved. INTERVENTION: complex intervention eMMa. FOLLOW-UP: at least five quarters/cluster (practice). recruitment: practices recruited/randomised at different times; after follow-up, control group practices may access eMMa. OUTCOMES: primary endpoint is all-cause mortality and hospitalisation; secondary endpoints are number of potentially inappropriate medications, cause-specific hospitalisation preceded by high-risk prescribing and medication underuse. STATISTICAL ANALYSIS: primary and secondary outcomes are measured quarterly at patient level. A generalised linear mixed-effect model and repeated patient measurements are used to consider patient clusters within practices. Time and intervention group are considered fixed factors; variation between practices and patients is fitted as random effects. Intention-to-treat principle is used to analyse primary and key secondary endpoints. ETHICS AND DISSEMINATION: Trial approved by Ethics Commission of North-Rhine Medical Association. Results will be disseminated through workshops, peer-reviewed publications, local and international conferences. TRIAL REGISTRATION: NCT03430336. ClinicalTrials.gov (https://clinicaltrials.gov/ct2/show/NCT03430336).

[Patient perspectives on patient safety: Results of a population-based survey in Germany]. / Subjektive Informiertheit von Patient*innen zum Thema Patientensicherheit: Ergebnisse einer Bevölkerungsbefragung in Deutschland.

INTRODUCTION: The growing number of people with multimorbidity and polypharmacy in Germany has led to increasing complexity in health care and risks to patient safety. A high priority should therefore be placed on identifying and preventing avoidable adverse events. The patient perspective plays an important role in improving patient safety. In this study, we conducted a representative, population-based survey of knowledge, perceptions and experiences of patient safety, especially of subjectively experienced errors in health care. Our aim was, in particular, to assess patient safety from the patients' point of view, and to analyze differences in assessments of risk and preventability between persons that felt well or poorly informed about patient safety topics. METHODS: In 2019, computer-assisted telephone interviews were conducted nationwide as part of the "TK-Monitor Patient Safety" project. Recruitment was carried out by using multistage selection and forming a stratified random sample. Adults (18 years and older) with sufficient knowledge of German were included. The survey was conducted using a structured guideline containing 21 questions concerning perceptions and experiences of patient safety, and 12 questions on sociodemographic factors. The results were analyzed both descriptively and using inferential statistical methods. RESULTS: Of a total of 1,000 respondents (51% female), approx. half (52%) were gainfully employed, and 57% rated their state of health as "very good" or "good". The patients regarded data protection, medication errors, hospital infections and diagnostic (un)certainty as of major relevance to patient safety. Overall, 55% of the respondents rated their knowledge of patient safety as "very good" or "good". The results showed that subjective knowledge was negatively associated with important outcome parameters such as having experience of medication errors or suspecting errors had been made in a medical examination or treatment. Patients that considered themselves well-informed also reckoned they could contribute towards increasing safety in health care. DISCUSSION: The respondents considered diagnostic uncertainty to be one of the greatest risks to their person. This shows that they recognized a need for further information and felt this need was inadequately satisfied in the German research landscape. With regard to the correlation between subjective knowledge and outcome parameters, it is also necessary to analyze whether the respondents' subjective knowledge reflects their actual knowledge, as this would be necessary for preventive measures to be effective. This question will be the subject of further studies. CONCLUSION: The patient perspective is an important addition to the study of the safety of medical care in Germany. Factors influencing subjective knowledge should be investigated. Furthermore, regular surveys would be desirable in order to gain greater insight into the topic.

"I must, and I can live with that": a thematic analysis of patients' perspectives on polypharmacy and a digital decision support system for GPs.

BACKGROUND: To investigate patients' perspectives on polypharmacy and the use of a digital decision support system to assist general practitioners (GPs) in performing medication reviews. METHODS: Qualitative interviews with patients or informal caregivers recruited from participants in a cluster-randomized controlled clinical trial (cRCT). The interviews were transcribed verbatim and analyzed using thematic analysis. RESULTS: We conducted 13 interviews and identified the following seven themes: the patients successfully integrated medication use in their everyday lives, used medication plans, had both good and bad personal experiences with their drugs, regarded their healthcare providers as the main source of medication-related information, discussed medication changes with their GPs, had trusting relationships with them, and viewed the use of digital decision support tools for medication reviews positively. No unwanted adverse effects were reported. CONCLUSIONS: Despite drug-related problems, patients appeared to cope well with their medications. They also trusted their GPs, despite acknowledging polypharmacy to be a complex field for them. The use of a digital support system was appreciated and linked to the hope that reasons for selecting specific medication regimens would become more comprehensible. Further research with a more diverse sampling might add more patient perspectives. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03430336 . Registered on February 6, 2018.

Development and internal validation of prognostic models to predict negative health outcomes in older patients with multimorbidity and polypharmacy in general practice.

BACKGROUND: Polypharmacy interventions are resource-intensive and should be targeted to those at risk of negative health outcomes. Our aim was to develop and internally validate prognostic models to predict health-related quality of life (HRQoL) and the combined outcome of falls, hospitalisation, institutionalisation and nursing care needs, in older patients with multimorbidity and polypharmacy in general practices. METHODS: Design: two independent data sets, one comprising health insurance claims data (n=592 456), the other data from the PRIoritising MUltimedication in Multimorbidity (PRIMUM) cluster randomised controlled trial (n=502). Population: ≥60 years, ≥5 drugs, ≥3 chronic diseases, excluding dementia. Outcomes: combined outcome of falls, hospitalisation, institutionalisation and nursing care needs (after 6, 9 and 24 months) (claims data); and HRQoL (after 6 and 9 months) (trial data). Predictor variables in both data sets: age, sex, morbidity-related variables (disease count), medication-related variables (European Union-Potentially Inappropriate Medication list (EU-PIM list)) and health service utilisation. Predictor variables exclusively in trial data: additional socio-demographics, morbidity-related variables (Cumulative Illness Rating Scale, depression), Medication Appropriateness Index (MAI), lifestyle, functional status and HRQoL (EuroQol EQ-5D-3L). Analysis: mixed regression models, combined with stepwise variable selection, 10-fold cross validation and sensitivity analyses. RESULTS: Most important predictors of EQ-5D-3L at 6 months in best model (Nagelkerke's R² 0.507) were depressive symptoms (-2.73 (95% CI: -3.56 to -1.91)), MAI (-0.39 (95% CI: -0.7 to -0.08)), baseline EQ-5D-3L (0.55 (95% CI: 0.47 to 0.64)). Models based on claims data and those predicting long-term outcomes based on both data sets produced low R² values. In claims data-based model with highest explanatory power (R²=0.16), previous falls/fall-related injuries, previous hospitalisations, age, number of involved physicians and disease count were most important predictor variables. CONCLUSIONS: Best trial data-based model predicted HRQoL after 6 months well and included parameters of well-being not found in claims. Performance of claims data-based models and models predicting long-term outcomes was relatively weak. For generalisability, future studies should refit models by considering parameters representing well-being and functional status.