Behavioral sciences applied to acute care teams: a research agenda for the years ahead by a European research network.

BACKGROUND: Multi-disciplinary behavioral research on acute care teams has focused on understanding how teams work and on identifying behaviors characteristic of efficient and effective team performance. We aimed to define important knowledge gaps and establish a research agenda for the years ahead of prioritized research questions in this field of applied health research. METHODS: In the first step, high-priority research questions were generated by a small highly specialized group of 29 experts in the field, recruited from the multinational and multidisciplinary "Behavioral Sciences applied to Acute care teams and Surgery (BSAS)" research network - a cross-European, interdisciplinary network of researchers from social sciences as well as from the medical field committed to understanding the role of behavioral sciences in the context of acute care teams. A consolidated list of 59 research questions was established. In the second step, 19 experts attending the 2020 BSAS annual conference quantitatively rated the importance of each research question based on four criteria - usefulness, answerability, effectiveness, and translation into practice. In the third step, during half a day of the BSAS conference, the same group of 19 experts discussed the prioritization of the research questions in three online focus group meetings and established recommendations. RESULTS: Research priorities identified were categorized into six topics: (1) interventions to improve team process; (2) dealing with and implementing new technologies; (3) understanding and measuring team processes; (4) organizational aspects impacting teamwork; (5) training and health professions education; and (6) organizational and patient safety culture in the healthcare domain. Experts rated the first three topics as particularly relevant in terms of research priorities; the focus groups identified specific research needs within each topic. CONCLUSIONS: Based on research priorities within the BSAS community and the broader field of applied health sciences identified through this work, we advocate for the prioritization for funding in these areas.

Decision-making on the fly: a qualitative study of physicians in out-of-hospital emergency medical services.

BACKGROUND: Out-of-hospital Emergency Medical Services (OHEMS) require fast and accurate assessment of patients and efficient clinical judgment in the face of uncertainty and ambiguity. Guidelines and protocols can support staff in these situations, but there is significant variability in their use. Therefore, the aim of this study was to increase our understanding of physician decision-making in OHEMS, in particular, to characterize the types of decisions made and to explore potential facilitating and hindering factors. METHODS: Qualitative interview study of 21 physicians in a large, publicly-owned and operated OHEMS in Croatia. Data was subjected to an inductive content analysis. RESULTS: Physicians (mostly young, female, and early in their career), made three decisions (transport, treat, and if yes on either, how) after an initial patient assessment. Decisions were influenced by patient needs, but to a greater extent by factors related to themselves and patients (microsystem), their organization (mesosystem), and the larger health system (macrosystem). This generated a high variability in quality and outcomes. Participants desired support through further training, improved guidelines, formalized feedback, supportive management, and health system process redesign to better coordinate and align care across organizational boundaries. CONCLUSIONS: The three decisions were made complex by contextual factors that largely lay outside physician control at the mesosystem level. However, physicians still took personal responsibility for concerns more suitably addressed at the organizational level. This negatively impacted care quality and staff well-being. If managers instead adopt a learning orientation, the path from novice to expert physician could be more ably supported through organizational demands and practices aligned with real-world practice. Questions remain on how managers can better support the learning needed to improve quality, safety, and physicians' journey from novice to expert.

Identifying neonatal adverse events in preterm and term infants using a paediatric trigger tool.

AIM: To explore the incidence and characteristics of inpatient neonatal adverse events in a Swedish setting. METHODS: A retrospective record review, using a trigger tool, performed by registered nurses and a neonatologist, at a University Hospital. The identified adverse events were categorised by, for example, preventability, severity and time of occurrence. RESULTS: A random selection of 150 admissions representing 3531 patient days were reviewed (mean [SD] birthweight 2620 [1120]g). Three hundred and sixty adverse events were identified in 78 (52.0%) infants, and 305 (84.7%) of these were assessed as being preventable. The overall adverse event rate was 240 per 100 admissions and 102.0 per 1000 patient days. Preterm infants had a higher rate than term infants (353 versus 79 per 100 admissions, p = 0.001); however, with regard to the length of stay, the rates were similar. Most adverse events were temporary and less severe (n = 338/360, 93.9%) and the most common type involved harm to skin, tissue or blood vessels (n = 163/360, 45.3%). Forty percent (n = 145) of adverse events occurred within the first week of admission. CONCLUSION: Adverse events were common in neonatal care, and many occurred during the first days of treatment. Characterisation of adverse events may provide focus areas for improvements in patient safety.

Game Experience and Learning Effects of a Scoring-Based Mechanic for Logistical Aspects of Pediatric Emergency Medicine: Development and Feasibility Study.

BACKGROUND: Using serious games for learning in operations management is well established. However, especially for logistics skills in health care operations, there is little work on the design of game mechanics for learning engagement and the achievement of the desired learning goals. OBJECTIVE: This contribution presents a serious game design representing patient flow characteristics, systemic resource configurations, and the roles of the players based on a real Swedish emergency ward. The game was tested in a set of game-based learning practices in the modalities of a physical board game and an online multiplayer serious game that implemented the same game structure. METHODS: First, survey scores were collected using the Game Experience Questionnaire Core and Social Presence Modules to evaluate the experience and acceptance of the proposed design to gamify real processes in emergency care. Second, lag sequential analysis was applied to analyze the impact of the game mechanics on learning behavior transitions. Lastly, regression analysis was used to understand whether learning engagement attributes could potentially serve as significant predicting variables for logistical performance in a simulated learning environment. RESULTS: A total of 36 students from courses in engineering and management at KTH Royal Institute of Technology participated in both game-based learning practices during the autumn and spring semesters of 2019 and 2020. For the Core Module, significant differences were found for the scores for negative affect and tension compared with the rest of the module. For the Social Presence Module, significant differences were found in the scores for the psychological involvement - negative feelings dimension compared with the rest of the module. During the process of content generation, the participant had access to circulating management resources and could edit profiles. The standard regression analysis output yielded a ΔR2 of 0.796 (F14,31=2725.49, P<.001) for the board version and 0.702 (F24,31=2635.31, P<.001) for the multiplayer online version after the learning engagement attributes. CONCLUSIONS: The high scores of positive affect and immersion compared to the low scores of negative feelings demonstrated the motivating and cognitive involvement impact of the game. The proposed game mechanics have visible effects on significant correlation parameters between the majority of scoring features and changes in learning engagement attributes. Therefore, we conclude that for enhancing learning in logistical aspects of health care, serious games that are steered by well-designed scoring mechanisms can be used.

Patient and provider perspectives on reducing risk of harm in primary health care: a qualitative questionnaire study in Sweden.

Objective: To explore how patients, that had experienced harm in primary care, and how primary providers and practice managers understood reasons for harm and possibilities to reduce risk of harm.Design: Inductive qualitative analysis of structured questionnaires with free text answers.Setting: Primary health care in Sweden.Patients/subjects: Patients (n = 22) who had experienced preventable harm in primary health care, and primary care providers and practice managers, including 15 physicians, 20 nurses and 24 practice managers.Main outcome measures: Categories and overarching themes from the qualitative analysis.Results: The three categories identified as important for safety were continuity of care, communication and competence. With flaws in these, risks were thought to be greater and if these were strengthened the risks could be reduced. The overarching theme for the patient was the experience of being neglected, like not having been properly examined. The overarching theme for primary care providers and practice managers was lack of continuity of care.Conclusion: Primary care providers, practice managers and patients understood the risks and how to reduce the risks of patient safety problems as related to three main categories: continuity of care, communication and competence. Future work towards a safer primary health care could therefore benefit from focusing on these areas.Key pointsCurrent awareness: • Patients and primary care providers are rather untapped sources of knowledge regarding patient safety in primary health care.Main statements: • Patients understood the risk of harm as stemming from that they were not properly examined. • Primary care providers understood the risk of harm to a great extent as stemming from poor continuity of care. • Patients, primary care providers and practice managers believed continuity, communication and competence play an important role in reducing risks.

Correction to: A systematic literature review of simulation models for non-technical skill training in healthcare logistics.

[This corrects the article DOI: 10.1186/s41077-018-0072-7.].

A systematic literature review of simulation models for non-technical skill training in healthcare logistics.

Background: Resource allocation in patient care relies heavily on individual judgements of healthcare professionals. Such professionals perform coordinating functions by managing the timing and execution of a multitude of care processes for multiple patients. Based on advances in simulation, new technologies that could be used for establishing realistic representations have been developed. These simulations can be used to facilitate understanding of various situations, coordination training and education in logistics, decision-making processes, and design aspects of the healthcare system. However, no study in the literature has synthesized the types of simulations models available for non-technical skills training and coordination of care. Methods: A systematic literature review, following the PRISMA guidelines, was performed to identify simulation models that could be used for training individuals in operative logistical coordination that occurs on a daily basis. This article reviewed papers of simulation in healthcare logistics presented in the Web of Science Core Collections, ACM digital library, and JSTOR databases. We conducted a screening process to gather relevant papers as the knowledge foundation of our literature study. The screening process involved a query-based identification of papers and an assessment of relevance and quality. Results: Two hundred ninety-four papers met the inclusion criteria. The review showed that different types of simulation models can be used for constructing scenarios for addressing different types of problems, primarily for training and education sessions. The papers identified were classified according to their utilized paradigm and focus areas. (1) Discrete-event simulation in single-category and single-unit scenarios formed the most dominant approach to developing healthcare simulations and dominated all other categories by a large margin. (2) As we approached a systems perspective (cross-departmental and cross-institutional), discrete-event simulation became less popular and is complemented by system dynamics or hybrid modeling. (3) Agent-based simulations and participatory simulations have increased in absolute terms, but the share of these modeling techniques among all simulations in this field remains low. Conclusions: An extensive study analyzing the literature on simulation in healthcare logistics indicates a growth in the number of examples demonstrating how simulation can be used in healthcare settings. Results show that the majority of studies create situations in which non-technical skills of managers, coordinators, and decision makers can be trained. However, more system-level and complex system-based approaches are limited and use methods other than discrete-event simulation.

Validation of triggers and development of a pediatric trigger tool to identify adverse events.

BACKGROUND: Little is known about adverse events (AEs) in pediatric patients. Record review is a common methodology for identifying AEs, but in pediatrics the record review tools generally have limited focus. The aim of the present study was to develop a broadly applicable record review tool to identify AEs in pediatric inpatients. METHODS: Using a broad literature review and expert opinion with a modified Delphi process, a pediatric trigger tool with 88 triggers, definitions, and descriptions including AE preventability decision support was developed and tested in a random sample of 600 hospitalized pediatric patients admitted in 2010 to a single university children's hospital. Four registered nurse-physician teams performed complete two-stage retrospective reviews of 150 records each from either neonatal, surgical/orthopedic, medicine, or emergency medicine units. RESULTS: Registered nurse review identified 296 of 600 records with triggers indicating potential AEs. Records (n = 121) with only false positive triggers not indicating any potential AEs were not forwarded to the next review stage. On subsequent physician review, 204 (34.0%) of patients were found to have had 563 AEs, range 1-27 AEs/patient. A total of 442 preventable AEs were found in 161 patients (26.8%), range 1-22. Overall, triggers were found 3,598 times in 417 (69.5%) records, with a mean of 6 (median 1, range 0-176) triggers per patient. The overall positive predictive value of the triggers was 22.9%, (range 0.0-100.0%). The final pediatric trigger tool, developed with a second Delphi round, required 29 triggers. CONCLUSIONS: AEs are common in pediatric patients and most are preventable. The main contributions of this study are to further develop and adapt trigger definitions, including AE preventability decision support, to introduce new triggers in pediatric care, as well as to apply pediatric triggers in different clinical specialties. Our findings resulted in a national pediatric trigger tool, and might also be adapted internationally. The pediatric trigger tool can help healthcare organizations to measure and analyze the AEs occurring in hospitalized children in order to improve patient safety.

Healthcare processes must be improved to reduce the occurrence of orthopaedic adverse events.

BACKGROUND: Many nonhealth industries have decades of experiences working with safety systems. Similar systems are also needed in healthcare to improve patient safety. Clinical incident reporting systems in healthcare identify adverse events but seriously underestimate the incidence of adverse events. A wide range of information sources and monitoring techniques are needed to understand and mitigate healthcare risks. AIM: The purpose of this study was to identify patient safety risk factors that can lead to adverse events in adult orthopaedic inpatients. DESIGN: A three-stage structured retrospective patient record review of consecutively admitted patients to the inpatient service of a large, urban Swedish hospital. METHOD: Records for all orthopaedic inpatients admitted during a 2-month period (n = 395) were screened using 12 criteria. Positive records were then reviewed in two stages by orthopaedic surgeons using a standardized protocol. Data were collected from the index admission and from subsequent visits or readmissions within 28 days of discharge. RESULTS: Sixty patients experienced 65 healthcare associated adverse events. Affected patients had a length of hospital stay double that of patients without adverse events. Adverse events were more common in patients undergoing surgical procedures and patients with risk factors for anaesthesia. Although 59 of the adverse events occurred in patients who underwent surgery, only nine of the adverse events were due to deficiencies in surgical/anaesthesia technique. The others were related to deficiencies in healthcare processes. The most common adverse events were hospital acquired infections (n = 20) and delayed detection of urinary retention (n = 13). Six adverse drug events involved elderly patients (≥65 years). CONCLUSION: Orthopaedic care is a high risk activity for its typically elderly, often debilitated patients. Reducing adverse events in orthopaedic patients will require more multidisciplinary, interdepartmental teamwork strategies that focus on healthcare processes outside the operating room.

Patient safety as perceived by Swedish leaders.

PURPOSE: The purpose of this paper is to survey Swedish healthcare leaders' patient safety awareness, the priority they give to safety issues and their views on suitable safety management strategies. DESIGN/METHODOLOGY/APPROACH: A total 623 leaders of a sample of 1,129 responded to a mail questionnaire (55 percent response rate). Descriptive statistics of the responses are presented as frequency distributions across respondent subgroups. Means were tested for similarity by a repetitive one-way ANOVA procedure. Homogeneous response groups were sought by hierarchical cluster analysis. FINDINGS: Swedish healthcare leaders show relatively high safety awareness and how their organizations prioritize safety management. There is a marked polarization between leaders; half feel that the system works reasonably well, and that adequate funds are available to improve or maintain services. The other half thinks the system needs major change and calls for additional funding. A majority sees system errors as the main cause for adverse events; a substantial minority find human errors to be more important. Two-thirds were willing to make safety performance information on organizations and specialties public, one third was restrictive. RESEARCH LIMITATIONS/IMPLICATIONS: Survey instruments used to explore leaders' patient safety views have not yet been rigorously tested against psychometric criteria. One hospital type was slightly over-represented and three regions somewhat under-represented in the respondent groups. ORIGINALITY/VALUE: This is the first systematic attempt to explore the views of Swedish healthcare leaders on patient safety. It provides input to a national strategy to improve patient safety.

Application of statistical process control in healthcare improvement: systematic review.

OBJECTIVE: To systematically review the literature regarding how statistical process control--with control charts as a core tool--has been applied to healthcare quality improvement, and to examine the benefits, limitations, barriers and facilitating factors related to such application. DATA SOURCES: Original articles found in relevant databases, including Web of Science and Medline, covering the period 1966 to June 2004. STUDY SELECTION: From 311 articles, 57 empirical studies, published between 1990 and 2004, met the inclusion criteria. METHODS: A standardised data abstraction form was used for extracting data relevant to the review questions, and the data were analysed thematically. RESULTS: Statistical process control was applied in a wide range of settings and specialties, at diverse levels of organisation and directly by patients, using 97 different variables. The review revealed 12 categories of benefits, 6 categories of limitations, 10 categories of barriers, and 23 factors that facilitate its application and all are fully referenced in this report. Statistical process control helped different actors manage change and improve healthcare processes. It also enabled patients with, for example asthma or diabetes mellitus, to manage their own health, and thus has therapeutic qualities. Its power hinges on correct and smart application, which is not necessarily a trivial task. This review catalogs 11 approaches to such smart application, including risk adjustment and data stratification. CONCLUSION: Statistical process control is a versatile tool which can help diverse stakeholders to manage change in healthcare and improve patients' health.