Objectives: To understand expert and team cognition of complex patients in the pediatric intensive care unit through the use of cognitive task analysis. Design: Qualitative study with semistructured interviews. Setting: Academic medical center pediatric intensive care unit. Participants: Physicians, nurses, and nurse practitioners. Interventions: None. Measurements and Main Results: Semistructured interviews were conducted with members of the critical care team involved with the care of seven complex patients. Interviews were transcribed and themes were identified based on grounded theory and further divided into categories. A focus group of critical care team members further refined and validated the findings. From the interviews, 177 verbal fragments were sorted into 11 themes. Four broad thematic categories were identified and a cognitive framework for the care of complex patients was formulated. We found that at the center of this framework, critical care teams attempt to create and share mental models of their patients. These mental models serve as the framework for delivery of longitudinal care across handovers and shift changes. The analysis revealed that this process is limited by a number of factors such that team members utilize a variety of techniques to overcome these limitations and develop more complete and shared mental models. Conclusions: An inadequately developed or inadequately shared mental model is a substantial cognitive limitation for expert and team cognition in the complex environment of the pediatric intensive care unit. Providers utilize techniques that may avoid or decrease the variable interpretations of patient condition that would otherwise impair mental model formation and sharing. Future studies should be designed to enhance mental model formation and communication in the pediatric intensive care unit and other environments that deal with complex patients.

Over 4 billion prescriptions are dispensed each year to patients in the United States, with the number of prescriptions continuing to increase. There is a growing recognition of pharmacists’ potent...

Objective: Pain assessment is of great importance in both clinical research and patient care. Facial expression analysis is becoming a key part of pain detection because it is convenient, automatic, and real-time. The aim of this study is to present a cold pain intensity estimation experiment, investigate the importance of the spatial-temporal information on facial expression based cold pain, and study the performance of the personalized model as well as the generalized model. Methods: A cold pain experiment was carried out and facial expressions from 29 subjects were extracted. Three different architectures (Inception V3, VGG-LSTM, and Convolutional LSTM) were used to estimate three intensities of cold pain: No pain, Moderate pain, and Severe Pain. Architectures with Sequential information were compared with single-frame architecture, showing the importance of spatial-temporal information on pain estimation. The performances of the personalized model and the generalized model were also compared. Results: A mean F1 score of 79.48% was achieved using Convolutional LSTM based on the personalized model. Conclusion: This study demonstrates the potential for the estimation of cold pain intensity from facial expression analysis and shows that the personalized spatial-temporal framework has better performance in cold pain intensity estimation. Significance: This cold pain intensity estimator could allow convenient, automatic, and real-time use to provide continuous objective pain intensity estimations of subjects and patients.

There are major gaps and barriers for patients and caregivers after hospital discharge to achieve safe medication use. Patients and caregivers are often not ready to take on the responsibility for medication management when transitioned from inpatient care. Current approaches tend to focus on adding isolated strategies. A system thinking can enable a fundamental transformation to redesign professionals’ interactions with patients and caregivers with an explicit goal to develop patients and caregivers into true partners, with targeted roles, skills, attitude, knowledge, and tool support. We must recognize the fact that medication safety during care transition and, more so, at patient homes is the property of a “work system”, in which the patient and caregivers are at the center, with collaboration with health professionals. Innovative ideas are needed to engineer work system components by systematically examining professionals’ interactions with patients and caregivers, such as those during hospital stays and transitions (e.g. follow-up phone calls, community pharmacist consults, and home visits). Based on human factors principles, we describe a set of recommendations on engineering partnership with patients and their caregivers at different stages of a care episode, to enable productive interactions among work systems that are distributed and are often limited in their ability to exchange information and co-align their interests.

Objectives: Care transitions pose a high risk of adverse drug events (ADEs). We aimed to identify hazards to medication safety for older adults during care transitions using a systems approach. Methods: Hospital-based professionals from 4 hospitals were interviewed about ADE risks after hospital discharge among older adults. Concerns were extracted from the interview transcript, and for each concern, hazard for medication-related harms was coded and grouped by its sources according to a human factors and systems engineering model that views postdischarge ADEs as the outcome of professional and patient home work systems. Results: Thirty-eight professionals participated (5 hospitalists, 24 nurses, 4 clinical pharmacists, 3 pharmacy technicians, and 2 social workers). Hazards were classified into 6 groups, ranked by frequencies of hazards coded: (1) medication tasks related at home, (2) patient and caregiver related, (3) hospital work system related, (4) home resource related, (5) hospital professional-patient collaborative work related, and (6) external environment related. Medications most frequently cited when describing concerns included anticoagulants, insulins, and diuretics. Top coded hazard types were complex dosing, patient and caregiver knowledge gaps in medication management, errors in discharge medications, unaffordable cost, inadequate understanding about changes in medications, and gaps in access to care or in sharing medication information. Conclusions: From the perspective of hospital-based frontline health care professionals, hazards for medication-related harms during care transitions were multifactorial and represented those introduced by the hospital work system as well as defects unrecognized and unaddressed in the home work system.

Older adults and caregivers play an essential role in medication safety; however, self-perception of their and health professionals’ roles in medication safety is not well-understood. The objective of our study was to identify the roles of patients, providers, and pharmacists in medication safety from the perspective of older adults. Semi-structured qualitative interviews were held with 28 community-dwelling older adults over 65 years who took five or more prescription medications daily. Results suggest that older adults’ self-perceptions of their role in medication safety varied widely. Older adults perceived that self-learning about their medications and securing them are critical to avoiding medication-related harm. Primary care providers were perceived as coordinators between older adults and specialists. Older adults expected pharmacists to inform them of any changes in the characteristics of medications to ensure medications were taken correctly. Our findings provide an in-depth analysis of older adults’ perceptions and expectations of their providers’ specific roles in medication safety. Educating providers and pharmacists about the role expectations of this population with complex needs can ultimately improve medication safety.