ObjectiveThe objective of this study was to describe the involvement of patients or their representatives in quality management (QM) functions and to assess associations between levels of involvement and the implementation of patient-centred care strategies.DesignA cross-sectional, multilevel study design that surveyed quality managers and department heads and data from an organizational audit.SettingRandomly selected hospitals (n = 74) from seven European countries (The Czech Republic, France, Germany, Poland, Portugal, Spain and Turkey).ParticipantsHospital quality managers (n = 74) and heads of clinical departments (n = 262) in charge of four patient pathways (acute myocardial infarction, stroke, hip fracture and deliveries) participated in the data collection between May 2011 and February 2012.Main Outcome MeasuresFour items reflecting essential patient-centred care strategies based on an on-site hospital visit: (1) formal survey seeking views of patients and carers, (2) written policies on patients' rights, (3) patient information literature including guidelines and (4) fact sheets for post-discharge care. The main predictors were patient involvement in QM at the (i) hospital level and (ii) pathway level.ResultsCurrent levels of involving patients and their representatives in QM functions in European hospitals are low at hospital level (mean score 1.6 on a scale of 0 to 5, SD 0.7), but even lower at departmental level (mean 0.6, SD 0.7). We did not detect associations between levels of involving patients and their representatives in QM functions and the implementation of patient-centred care strategies; however, the smallest hospitals were more likely to have implemented patient-centred care strategies.ConclusionsThere is insufficient evidence that involving patients and their representatives in QM leads to establishing or implementing strategies and procedures that facilitate patient-centred care; however, lack of evidence should not be interpreted as evidence of no effect.

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Objective We describe our approach to surveillance of reportable safety events captured in hospital data including free-text clinical notes. We hypothesize that a) some patient safety events are documented only in the clinical notes and not in any other accessible source; and b) large-scale abstraction of event data from clinical notes is feasible. Materials and Methods We use regular expressions to generate a training data set for a machine learning model and apply this model to the full set of clinical notes and conduct further review to identify safety events of interest. We demonstrate this approach on peripheral intravenous (PIV) infiltrations and extravasations (PIVIEs). Results During Phase 1, we collected 21,362 clinical notes, of which 2342 were reviewed. We identified 125 PIV events, of which 44 cases (35%) were not captured by other patient safety systems. During Phase 2, we collected 60,735 clinical notes and identified 440 infiltrate events. Our classifier demonstrated accuracy above 90%. Conclusion Our method to identify safety events from the free text of clinical documentation offers a feasible and scalable approach to enhance existing patient safety systems. Expert reviewers, using a machine learning model, can conduct routine surveillance of patient safety events.

BackgroundWe aimed to determine availability of core Hospital Information Systems (HIS) functions implemented in Turkish hospitals and the perceived importance of these functions on quality and patient safety.MethodsWe surveyed quality directors (QDs) at civilian hospitals in the nation of Turkey. Data were collected via web survey using an instrument with 50 items describing core functionality of HIS. We calculated mean availability of each function, mean and median values of perceived impact on quality, and we investigated the relationship between availability and perceived importance.ResultsWe received responses from 31% of eligible institutions, representing all major geographic regions of Turkey. Mean availability of 50 HIS functions was 65.6%, ranging from 19.6% to 97.4%. Mean importance score was 7.87 (on a 9-point scale) ranging from 7.13 to 8.41. Functions related to result management (89.3%) and decision support systems (52.2%) had the highest and lowest reported availability respectively. Availability and perceived importance were moderately correlated (r = 0.52).ConclusionQDs report high importance of the HIS functions surveyed as they relate to quality and patient safety. Availability and perceived importance of HIS functions are generally correlated, with some interesting exceptions. These findings may inform future investments and guide policy changes within the Turkish healthcare system.Financial incentives, regulations around certified HIS, revisions to accreditation manuals, and training interventions are all policies which will help integrate HIS functions to support quality and patient safety in Turkish hospitals.Electronic supplementary materialThe online version of this article (10.1186/s12911-018-0581-2) contains supplementary material, which is available to authorized users.