Patientensicherheit in der Hausarztpraxis

Einleitung Aus der Schweizer Grundversorgung lagen bisher noch keine systematischen Daten zu kritischen Ereignissen und zum Sicherheitsklima vor. Aus diesem Grund wurde eine Befragung von Ärzten und Medizinischen Praxisassistentinnen (MPA) in Deutschschweizer Hausarztpraxen sowie ein Folgeprojekt spezifisch zur Telefon-Triage durchgeführt. Methoden Mit Hilfe eines standardisierten Fragebogens wurden Fachpersonen in Hausarztpraxen zu Sicherheitsrisiken und zum Sicherheitsklima in ihren Praxen befragt. Der Fragebogen enthielt neben Fragen zum Sicherheitsklima Beschreibungen von 23 kritischen Ereignissen in Hausarztpraxen, die bezüglich Häufigkeit des Auftretens in der Praxis in den vergangenen zwölf Monaten sowie der Schadensfolge beurteilt wurden, als das Ereignis zum letzten Mal in der Praxis aufgetreten ist. Zudem beantworteten Ärzte und MPA eine offene Frage, nach den für sie besonders relevanten Risiken für die Patientensicherheit in ihren Praxen. Im Folgeprojekt wurden Interviews und Gruppendiskussionen mit MPA und Ärzten geführt, um eine Prozessanalyse der Telefon-Triage durchzuführen und ein Hilfsmittel für Hausarztpraxen zur Stärkung einer sicheren Telefon-Triage zu entwickeln. Ergebnisse 630 Ärzte und MPA (50,2% Ärzte, 49,8% MPA) haben an der Studie teilgenommen. 30% der Ärzte und 17% der MPA gaben an, mindestens einen der untersuchten Ereignisse täglich oder wöchentlich in ihrer Praxis zu beobachten. Fehler bei der Dokumentation wurden am häufigsten beobachtet. Ereignisse, die sich aufgrund der Schadensfolge als besonders relevant erwiesen, waren Fehleinschätzungen bei Kontaktaufnahmen der Patienten mit der Praxis, Diagnosefehler, mangelnde Überwachung von Patienten nach therapeutischen Massnahmen und Fehler in Zusammenhang mit der Medikation. Die Medikation (28% der Nennungen), medizinische Verrichtungen in der Praxis (11%) und die Telefon-Triage (7%) wurden am häufigsten als die Risiken genannt, die die Studienteilnehmer in ihren Praxen gerne eliminieren würden. In Bezug auf das Sicherheitsklima erwiesen sich insbesondere Teamsitzungen und regelmässige Qualitätszirkel-Teilnahme als relevante Prädiktoren für die Dimension „Teambasierte Aktivitäten und Strategien zur Fehlerprävention“. Berufsgruppenunterschiede zwischen Ärzten und MPA konnten sowohl hinsichtlich der berichteten Sicherheitsrisiken, als auch beim Sicherheitsklima beobachtet werden. Fazit Die Ergebnisse der Studie legen die Telefon-Triage als bislang wenig beachteten jedoch sehr relevanten Sicherheitsbereich in der Grundversorgung dar. Um die Sicherheit der Telefon-Triage zu stärken, wurde ein Anschlussprojekt durchgeführt, aus dem heraus ein Leitfaden für Hausarztpraxen entwickelt wurde. Dieser Leitfaden soll Ärzte und MPA in einer gemeinsamen und kritischen Auseinandersetzung von Strukturen und Prozessen rund um die Telefon-Triage sowie der Entwicklung von Verbesserungsschritten unterstützen. Die systematisch beobachteten Berufsgruppenunterschiede sind ein wichtiger Hinweis dafür, dass das gesamte Praxisteam in die Analyse von Sicherheitsrisiken und die Entwicklung von Massnahmen einbezogen werden sollte. Nur so können Risiken umfassend erfasst und für alle Fachpersonen relevante und getragene Verbesserungen initiiert werden. Dieser Ansatz der Team-Involvierung bildet die Basis für den Praxisleitfaden zur Telefon-Triage.

Proposal on How To Conduct a Biopharmaceutical Process Failure Mode and Effect Analysis (FMEA) as a Risk Assessment Tool

With the publication of the quality guideline ICH Q9 "Quality Risk Management" by the International Conference on Harmonization, risk management has already become a standard requirement during the life cycle of a pharmaceutical product. Failure mode and effect analysis (FMEA) is a powerful risk analysis tool that has been used for decades in mechanical and electrical industries. However, the adaptation of the FMEA methodology to biopharmaceutical processes brings about some difficulties. The proposal presented here is intended to serve as a brief but nevertheless comprehensive and detailed guideline on how to conduct a biopharmaceutical process FMEA. It includes a detailed 1-to-10-scale FMEA rating table for occurrence, severity, and detectability of failures that has been especially designed for typical biopharmaceutical processes. The application for such a biopharmaceutical process FMEA is widespread. It can be useful whenever a biopharmaceutical manufacturing process is developed or scaled-up, or when it is transferred to a different manufacturing site. It may also be conducted during substantial optimization of an existing process or the development of a second-generation process. According to their resulting risk ratings, process parameters can be ranked for importance and important variables for process development, characterization, or validation can be identified. LAY ABSTRACT: Health authorities around the world ask pharmaceutical companies to manage risk during development and manufacturing of pharmaceuticals. The so-called failure mode and effect analysis (FMEA) is an established risk analysis tool that has been used for decades in mechanical and electrical industries. However, the adaptation of the FMEA methodology to pharmaceutical processes that use modern biotechnology (biopharmaceutical processes) brings about some difficulties, because those biopharmaceutical processes differ from processes in mechanical and electrical industries. The proposal presented here explains how a biopharmaceutical process FMEA can be conducted. It includes a detailed 1-to-10-scale FMEA rating table for occurrence, severity, and detectability of failures that has been especially designed for typical biopharmaceutical processes. With the help of this guideline, different details of the manufacturing process can be ranked according to their potential risks, and this can help pharmaceutical companies to identify aspects with high potential risks and to react accordingly to improve the safety of medicines.

Critical issues in managing protected areas by multi-stakeholder participation - analysis of a process in the Swiss Alps

Balancing the frequently conflicting priorities of conservation and economic development poses a challenge to management of the Swiss Alps Jungfrau-Aletsch World Heritage Site (WHS). This is a complex societal problem that calls for a knowledge-based solution. This in turn requires a transdisciplinary research framework in which problems are defined and solved cooperatively by actors from the scientific community and the life-world. In this article we re-examine studies carried out in the region of the Swiss Alps Jungfrau-Aletsch WHS, covering three key issues prevalent in transdisciplinary settings: integration of stakeholders into participatory processes; perceptions and positions; and negotiability and implementation. In the case of the Swiss Alps Jungfrau-Aletsch WHS the transdisciplinary setting created a situation of mutual learning among stakeholders from different levels and backgrounds. However, the studies showed that the benefits of such processes of mutual learning are continuously at risk of being diminished by the power play inherent in participatory approaches.

Optimal Workflow and Process-Based Performance Measures for Endovascular Therapy in Acute Ischemic Stroke: Analysis of the Solitaire FR Thrombectomy for Acute Revascularization Study.

BACKGROUND AND PURPOSE We report on workflow and process-based performance measures and their effect on clinical outcome in Solitaire FR Thrombectomy for Acute Revascularization (STAR), a multicenter, prospective, single-arm study of Solitaire FR thrombectomy in large vessel anterior circulation stroke patients. METHODS Two hundred two patients were enrolled across 14 centers in Europe, Canada, and Australia. The following time intervals were measured: stroke onset to hospital arrival, hospital arrival to baseline imaging, baseline imaging to groin puncture, groin puncture to first stent deployment, and first stent deployment to reperfusion. Effects of time of day, general anesthesia use, and multimodal imaging on workflow were evaluated. Patient characteristics and workflow processes associated with prolonged interval times and good clinical outcome (90-day modified Rankin score, 0-2) were analyzed. RESULTS Median times were onset of stroke to hospital arrival, 123 minutes (interquartile range, 163 minutes); hospital arrival to thrombolysis in cerebral infarction (TICI) 2b/3 or final digital subtraction angiography, 133 minutes (interquartile range, 99 minutes); and baseline imaging to groin puncture, 86 minutes (interquartile range, 24 minutes). Time from baseline imaging to puncture was prolonged in patients receiving intravenous tissue-type plasminogen activator (32-minute mean delay) and when magnetic resonance-based imaging at baseline was used (18-minute mean delay). Extracranial carotid disease delayed puncture to first stent deployment time on average by 25 minutes. For each 1-hour increase in stroke onset to final digital subtraction angiography (or TICI 2b/3) time, odds of good clinical outcome decreased by 38%. CONCLUSIONS Interval times in the STAR study reflect current intra-arterial therapy for patients with acute ischemic stroke. Improving workflow metrics can further improve clinical outcome. CLINICAL TRIAL REGISTRATION: URL http://www.clinicaltrials.gov. Unique identifier: NCT01327989.

Time-Series Panel Analysis (TSPA): Multivariate Modeling of Temporal Associations in Psychotherapy Process.

Objective: Processes occurring in the course of psychotherapy are characterized by the simple fact that they unfold in time and that the multiple factors engaged in change processes vary highly between individuals (idiographic phenomena). Previous research, however, has neglected the temporal perspective by its traditional focus on static phenomena, which were mainly assessed at the group level (nomothetic phenomena). To support a temporal approach, the authors introduce time-series panel analysis (TSPA), a statistical methodology explicitly focusing on the quantification of temporal, session-to-session aspects of change in psychotherapy. TSPA-models are initially built at the level of individuals and are subsequently aggregated at the group level, thus allowing the exploration of prototypical models. Method: TSPA is based on vector auto-regression (VAR), an extension of univariate auto-regression models to multivariate time-series data. The application of TSPA is demonstrated in a sample of 87 outpatient psychotherapy patients who were monitored by postsession questionnaires. Prototypical mechanisms of change were derived from the aggregation of individual multivariate models of psychotherapy process. In a 2nd step, the associations between mechanisms of change (TSPA) and pre- to postsymptom change were explored. Results: TSPA allowed a prototypical process pattern to be identified, where patient's alliance and self-efficacy were linked by a temporal feedback-loop. Furthermore, therapist's stability over time in both mastery and clarification interventions was positively associated with better outcomes. Conclusions: TSPA is a statistical tool that sheds new light on temporal mechanisms of change. Through this approach, clinicians may gain insight into prototypical patterns of change in psychotherapy.