Towards a classification framework for patient safety incidents and adverse events for a mental health community-based model of service provision

Author(s):  
E. Frigola-Capell ◽  
R. Morgan ◽  
A. Nogué ◽  
I. Thelen ◽  
J. Font ◽  
...  
2021 ◽  
Vol 33 (2) ◽  
Author(s):  
Franziska Maria Keller ◽  
Christina Derksen ◽  
Lukas Kötting ◽  
Martina Schmiedhofer ◽  
Sonia Lippke

Abstract Background Patient-centered care and patient involvement have been increasingly recognized as crucial elements of patient safety. However, patient safety has rarely been evaluated from the patient perspective with a quantitative approach aiming at making patient safety and preventable adverse events measurable. Objectives The objectives of this study were to develop and evaluate the psychometric properties of a questionnaire assessing patient safety by perceived triggers of preventable adverse events among patients in primary health-care settings while considering mental health. Methods Two hundred and ten participants were recruited through various digital and print channels and asked to complete an online survey between November 2019 and April 2020. Exploratory factor analysis was performed to identify domains of triggers of preventable adverse events affecting patient safety. Furthermore, a multi-trait scaling analysis was performed to evaluate internal reliability as well as item-scale convergent–discriminant validity. A multivariate analysis of covariance evaluated whether individuals below and above the symptom threshold for depression and generalized anxiety perceive triggers of preventable adverse events differently. Results The five factors determined were information and communication with patients, time constraints of health-care professionals, diagnosis and treatment, hygiene and communication among health-care professionals, and knowledge and operational procedures. The questionnaire demonstrated a good total and subscale internal consistency (α = 0.90, range = 0.75–0.88), good item-scale convergent validity with significant correlations between 0.57 and 0.78 (P < 0.05; P < 0.01) for all items with their associated subscales, and satisfactory item-scale discriminant validity between 0.14 and 0.55 (P > 0.05) with no significant correlations between the items and their competing subscales. The questionnaire further revealed to be a generic measure irrespective of patients’ mental health status. Patients older than 50 years of age perceived a significantly greater threat to their own safety compared to patients below that age. Conclusion The developed Perceptions of Preventable Adverse Events Assessment Tool (PPAEAT) exhibits good psychometric properties, which supports its use in future research and primary health-care practice. Further validation of the PPAEAT in different settings, languages and larger samples is needed. The results of this study need to be considered when assessing patient safety in the context of health-care research.


2019 ◽  
Vol 30 (4) ◽  
pp. 777-779
Author(s):  
Gerda Zeeman ◽  
Loes Schouten ◽  
Deborah Seys ◽  
Ellen Coeckelberghs ◽  
Philomeen Weijenborg ◽  
...  

Abstract We evaluated the presence of prolonged mental health sequelae in the aftermath of a patient safety incident and the impact of a formal complaint or lawsuit on these mental health sequelae in 19 hospitals and 2635 nurses and doctors. Of 2635 respondents, 983 (37.3%) reported a complaint and 190 (7.2%) reported a lawsuit. In both doctors and nurses prolonged mental health sequelae reflecting a stressor-related disorder were highly prevalent, each well over 20% overall. They were consistently more prevalent in case of a formal complaint or lawsuit. Lawsuits showed 2-, 3- and 4-fold increases in prevalence of mental health sequelae.


2019 ◽  
Author(s):  
Isabelle Bonhoure ◽  
Anna Cigarini ◽  
Julian Vicens ◽  
Josep Perelló

“Citizen Social Science” is a fast-growing term within Citizen Science world but not many experiences have been shared in the literature to better shape its meaning. This article discusses novel possibilities of these participatory practices through the critical analysis of a concrete community-based project. We here embrace under the “Social” tag of Citizen Social Science both Computational Social Science methodologies and the Social concerns expressed by the mental health community. The interpretation place persons with a mental condition, as well as caregivers and relatives, at the center of the research cycle by taking the role of Competent Experts In-The-Field. A synergetic relation between Citizen Science, Mental Health research and Computational Social Science also imply a conceptual shift in comparison to standard approaches such as the inclusion of research subjects as active co-designers or the consideration of communitarian spaces as most natural experimental spaces. We here describe how these concepts are put into practice during the whole duration of a research project that has studied the social interactions inside the Community Mental Health Care ecosystem. Important steps entail the creation of a Knowledge Coalition, including a diversity of relevant actors with diverse knowledge and expertise, that is later involved in co-designing the research and in embedding experimental settings in communitarian spaces. The experience allows us to open a wider discussion on the possibilities and limitations of Citizen Social Science practices. Having in mind the ethical debate raised by Citizen Science Public Health and Patients’ driven research, we propose a set of values and practices to be agreed on. We also analyse the participation of the scientists in these kind of projects, which forces them to adopt the role of “camaleons” when executing diverse and versatile tasks. We additionally advocate for a more extended collective interpretation of the results in order to produce socially robust knowledge and enhance actions and policies grounded on these results. Exemplified with the experience herein presented, a more horizontal process that include the enhancement of participation and the revision of the notion of experiment offer new opportunities for Social Sciences from a multidisciplinary perspective.


Healthcare ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1181
Author(s):  
Mi Kyung Seo ◽  
Min Hwa Lee

Aims: The purpose of this study was to verify how integration into the mental health community, a subculture of persons with mental illness, affects the integration into the non-mental health community. Thus, we analyzed the effect of community-based mental health service programs on non-mental health community integration, mediated by mental health community integration. Methods: In total, 190 persons with mental illness (M age = 42.78; SD = 11.3; male, 54.7%; female, 45.3%), living in local communities and using community-based mental health programs, participated in the study. We measured their sociodemographic and clinical variables, the environmental variables of mental health service programs, and the level of integration of the mental health and non-mental health communities. The data collected were analyzed to test the proposed hypotheses using Structural Equation Modeling (SEM). Results: The common significant predictors affecting the two types of community integration were symptoms and resource accessibility: the more accessible the various community resources and the less severe the psychiatric symptoms were, the higher the level of the two types of community integration was. In path analysis, the program’s atmosphere and the participation of people with mental illness (program involvement) significantly predicted the level of integration into the mental health community. This, in turn, had a positive effect on their physical integration, social contact frequency, and psychological integration into the non-mental health community, mediated by the integration of the mental health community. Conclusion: Based on the results, we emphasize the importance of mental health communities and suggest strategies to support the integration of mental health communities.


2020 ◽  
pp. 135-157
Author(s):  
Stephanie Russ ◽  
Nick Sevdalis

This chapter offers an introduction to the recently developed applied health science fields of patient safety, improvement, and implementation sciences. Healthcare is a high-risk activity because of the complexity of its systems and processes. Errors arise frequently and these can impact negatively on patients by causing adverse events. Errors and adverse events are generally attributable to defective systems for organizing care, which create conditions in which errors arise. This represents a failure of risk management. Patient safety science takes a scientific approach to understanding why errors occur and how to prevent their occurrence or minimize their impact. Learning from analysis of patient safety incidents, through root-cause analysis, enables an organization or service to learn and avoid repeating similar failures in the future. Patient safety incidents represent one aspect of the wider problem of poor-quality care. Improvement science offers standardized tools and measurements that can be used to monitor and improve healthcare delivery. The Model for Improvement employs repeated Plan–Do–Study–Act (PDSA) cycles to quantify problems and to develop and test potential solutions. Engagement with stakeholders is an essential part of this process. Implementation science can contribute by providing methods to promote the uptake of new research evidence into healthcare practice. It can address the second translational gap by facilitating the widespread adoption of strategies for improving health-related processes and outcomes, and advancing knowledge on how best to replicate intervention effects from trials into real-world settings. These new scientific fields provide well-established approaches to addressing some of the key problems arising in healthcare. Modern public health needs to reap the benefits of these newly emerged sciences to address the burden of adverse events and harm that arises in the delivery of healthcare and to promote evidence-based practice.


2016 ◽  
Vol 70 (4_Supplement_1) ◽  
pp. 7011505136p1 ◽  
Author(s):  
Tajhma Burroughs ◽  
Kathleen Mathieson ◽  
Catherine V. Belden ◽  
Margo Gross

2011 ◽  
Vol 48 (5) ◽  
pp. 604-610 ◽  
Author(s):  
Eric E. Seiber ◽  
Helen Anne Sweeney ◽  
Jamie Partridge ◽  
Allard E. Dembe ◽  
Holly Jones

Sign in / Sign up

Export Citation Format

Share Document