Patient Partnership Tools to Support Medication Safety in Community-Dwelling Older Adults: Protocol for a Nonrandomized Stepped Wedge Clinical Trial.

BACKGROUND: Preventable harms from medications are significant threats to patient safety in community settings, especially among ambulatory older adults on multiple prescription medications. Patients may partner with primary care professionals by taking on active roles in decisions, learning the basics of medication self-management, and working with community resources. OBJECTIVE: This study aims to assess the impact of a set of patient partnership tools that redesign primary care encounters to encourage and empower patients to make more effective use of those encounters to improve medication safety. METHODS: The study is a nonrandomized, cross-sectional stepped wedge cluster-controlled trial with 1 private family medicine clinic and 2 public safety-net primary care clinics each composing their own cluster. There are 2 intervention sequences with 1 cluster per sequence and 1 control sequence with 1 cluster. Cross-sectional surveys will be taken immediately at the conclusion of visits to the clinics during 6 time periods of 6 weeks each, with a transition period of no data collection during intervention implementation. The number of visits to be surveyed will vary by period and cluster. We plan to recruit patients and professionals for surveys during 405 visits. In the experimental periods, visits will be conducted with two partnership tools and associated clinic process changes: (1) a 1-page visit preparation guide given to relevant patients by clinic staff before seeing the provider, with the intention to improve communication and shared decision-making, and (2) a library of short educational videos that clinic staff encourage patients to watch on medication safety. In the control periods, visits will be conducted with usual care. The primary outcome will be patients' self-efficacy in medication use. The secondary outcomes are medication-related issues such as duplicate therapies identified by primary care providers and assessment of collaborative work during visits. RESULTS: The study was funded in September 2019. Data collection started in April 2023 and ended in December 2023. Data was collected for 405 primary care encounters during that period. As of February 15, 2024, initial descriptive statistics were calculated. Full data analysis is expected to be completed and published in the summer of 2024. CONCLUSIONS: This study will assess the impact of patient partnership tools and associated process changes in primary care on medication use self-efficacy and medication-related issues. The study is powered to identify types of patients who may benefit most from patient engagement tools in primary care visits. TRIAL REGISTRATION: ClinicalTrials.gov NCT05880368; https://clinicaltrials.gov/study/NCT05880368. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/57878.

Characterizing changes to older adults' care transition patterns from hospital to home care in the initial year of COVID-19.

BACKGROUND: Skilled home healthcare (HH) provided in-person care to older adults during the COVID-19 pandemic, yet little is known about the pandemic's impact on HH care transition patterns. We investigated pandemic impact on (1) HH service volume; (2) population characteristics; and (3) care transition patterns for older adults receiving HH services after hospital or skilled nursing facility (SNF) discharge. METHODS: Retrospective, cohort, comparative study of recently hospitalized older adults (≥ 65 years) receiving HH services after hospital or SNF discharge at two large HH agencies in Baltimore and New York City (NYC) 1-year pre- and 1-year post-pandemic onset. We used the Outcome and Assessment Information Set (OASIS) and service use records to examine HH utilization, patient characteristics, visit timeliness, medication issues, and 30-day emergency department (ED) visit and rehospitalization. RESULTS: Across sites, admissions to HH declined by 23% in the pandemic's first year. Compared to the year prior, older adults receiving HH services during the first year of the pandemic were more likely to be younger, have worse mental, respiratory, and functional status in some areas, and be assessed by HH providers as having higher risk of rehospitalization. Thirty-day rehospitalization rates were lower during the first year of the pandemic. COVID-positive HH patients had lower odds of 30-day ED visit or rehospitalization. At the NYC site, extended duration between discharge and first HH visit was associated with reduced 30-day ED visit or rehospitalization. CONCLUSIONS: HH patient characteristics and utilization were distinct in Baltimore versus NYC in the initial year of the COVID-19 pandemic. Study findings suggest some older adults who needed HH may not have received it, since the decrease in HH services occurred as SNF use decreased nationally. Findings demonstrate the importance of understanding HH agency responsiveness during public health emergencies to ensure older adults' access to care.

Environmental cleaning and disinfection in the operating room: a systematic scoping review through a human factors and systems engineering lens.

OBJECTIVE: To synthesize evidence and identify gaps in the literature on environmental cleaning and disinfection in the operating room based on a human factors and systems engineering approach guided by the Systems Engineering Initiative for Patient Safety (SEIPS) model. DESIGN: A systematic scoping review. METHODS: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we searched 4 databases (ie, PubMed, EMBASE, OVID, CINAHL) for empirical studies on operating-room cleaning and disinfection. Studies were categorized based on their objectives and designs and were coded using the SEIPS model. The quality of randomized controlled trials and quasi-experimental studies with a nonequivalent groups design was assessed using version 2 of the Cochrane risk-of-bias tool for randomized trials. RESULTS: In total, 40 studies were reviewed and categorized into 3 groups: observational studies examining the effectiveness of operating-room cleaning and disinfections (11 studies), observational study assessing compliance with operating-room cleaning and disinfection (1 study), and interventional studies to improve operating-room cleaning and disinfection (28 studies). The SEIPS-based analysis only identified 3 observational studies examining individual work-system components influencing the effectiveness of operating-room cleaning and disinfection. Furthermore, most interventional studies addressed single work-system components, including tools and technologies (20 studies), tasks (3 studies), and organization (3 studies). Only 2 studies implemented interventions targeting multiple work-system components. CONCLUSIONS: The existing literature shows suboptimal compliance and inconsistent effectiveness of operating-room cleaning and disinfection. Improvement efforts have been largely focused on cleaning and disinfection tools and technologies and staff monitoring and training. Future research is needed (1) to systematically examine work-system factors influencing operating-room cleaning and disinfection and (2) to redesign the entire work system to optimize operating-room cleaning and disinfection.

Medication Management Strategies by Community-Dwelling Older Adults: A Multisite Qualitative Analysis.

OBJECTIVES: Community-dwelling older adults taking 5 or more medications are at risk for medication-related harm. Managing multiple medications is a challenging task for patients and caregivers. Community-dwelling older adults self-manage their medications with minimal healthcare professional supervision. Although organizations, such as the Food and Drug Administration, often issue guidelines to ensure medication safety, how older adults understand and mitigate the risk of harm from medication use in the home environment is poorly understood. METHODS: We conducted semistructured interviews with community-dwelling older adults 65 years and older who took 5 or more prescription medications to explore medication safety strategies they use. We also compared 2 organizations' medication safety guidelines for areas of concordance and discordance. RESULTS: A total of 28 older adults were interviewed. Four overarching themes of medication management strategies emerged: collaborating with prescribers, collaborating with pharmacists, learning about medications, and safe practices at home. Study findings revealed that older adults followed some of the published guidelines by the 2 government organizations, although there were some areas of discord. Some of the strategies used were unintentionally against the recommended guidelines. For example, older adults tried weaning themselves off their medications without notifying their providers. CONCLUSIONS: Older adults and their caregivers in our study used strategies different from those recommended by government organizations in managing medications to enhance drug safety. Patient-provider collaboration and positive patient outcomes can be improved by understanding and respecting strategies older adults use at home. Future studies must effectively incorporate older adults' perspectives when developing medication safety guidelines.

Artificial intelligence-based clinical decision support for liver transplant evaluation and considerations about fairness: A qualitative study.

BACKGROUND: The use of large-scale data and artificial intelligence (AI) to support complex transplantation decisions is in its infancy. Transplant candidate decision-making, which relies heavily on subjective assessment (ie, high variability), provides a ripe opportunity for AI-based clinical decision support (CDS). However, AI-CDS for transplant applications must consider important concerns regarding fairness (ie, health equity). The objective of this study was to use human-centered design methods to elicit providers' perceptions of AI-CDS for liver transplant listing decisions. METHODS: In this multicenter qualitative study conducted from December 2020 to July 2021, we performed semistructured interviews with 53 multidisciplinary liver transplant providers from 2 transplant centers. We used inductive coding and constant comparison analysis of interview data. RESULTS: Analysis yielded 6 themes important for the design of fair AI-CDS for liver transplant listing decisions: (1) transparency in the creators behind the AI-CDS and their motivations; (2) understanding how the AI-CDS uses data to support recommendations (ie, interpretability); (3) acknowledgment that AI-CDS could mitigate emotions and biases; (4) AI-CDS as a member of the transplant team, not a replacement; (5) identifying patient resource needs; and (6) including the patient's role in the AI-CDS. CONCLUSIONS: Overall, providers interviewed were cautiously optimistic about the potential for AI-CDS to improve clinical and equitable outcomes for patients. These findings can guide multidisciplinary developers in the design and implementation of AI-CDS that deliberately considers health equity.

Primary care teams' reported actions to improve medication safety: a qualitative study with insights in high reliability organising.

BACKGROUND: Our aim was to understand actions by primary care teams to improve medication safety. METHODS: This was a qualitative study using one-on-one, semistructured interviews with the questions guided by concepts from collaborative care and systems engineering models, and with references to the care of older adults. We interviewed 21 primary care physicians and their team members at four primary care sites serving patients with mostly low socioeconomic status in Southwest US during 2019-2020. We used thematic analysis with a combination of inductive and deductive coding. First, codes capturing safety actions were incrementally developed and revised iteratively by a team of multidisciplinary analysts using the inductive approach. Themes that emerged from the coded safety actions taken by primary care professionals to improve medication safety were then mapped to key principles from the high reliability organisation framework using a deductive approach. RESULTS: Primary care teams described their actions in medication safety mainly in making standard-of-care medical decisions, patient-shared decision-making, educating patients and their caregivers, providing asynchronous care separate from office visits and providing clinical infrastructure. Most of the actions required customisation at the individual level, such as limiting the supply of certain medications prescribed and simplifying medication regimens in certain patients. Primary care teams enacted high reliability organisation principles by anticipating and mitigating risks and taking actions to build resilience in patient work systems. The primary care teams' actions reflected their safety organising efforts as responses to many other agents in multiple settings that they could not control nor easily coordinate. CONCLUSIONS: Primary care teams take many actions to shape medication safety outcomes in community settings, and these actions demonstrated that primary care teams are a reservoir of resilience for medication safety in the overall healthcare system. To improve medication safety, primary care work systems require different strategies than those often used in more self-contained systems such as hospital inpatient or surgical services.

A Predictive Decision Analytics Approach for Primary Care Operations Management: A Case Study of Double-Booking Strategy Design and Evaluation.

Primary care plays a vital role for individuals and families in accessing care, keeping well, and improving quality of life. However, the complexities and uncertainties in the primary care delivery system (e.g., patient no-shows/walk-ins, staffing shortage, COVID-19 pandemic) have brought significant challenges in its operations management, which can potentially lead to poor patient outcomes and negative primary care operations (e.g., loss of productivity, inefficiency). This paper presents a decision analytics approach developed based on predictive analytics and hybrid simulation to better facilitate management of the underlying complexities and uncertainties in primary care operations. A case study was conducted in a local family medicine clinic to demonstrate the use of this approach for patient no-show management. In this case study, a patient no-show prediction model was used in conjunction with an integrated agent-based and discrete-event simulation model to design and evaluate double-booking strategies. Using the predicted patient no-show information, a prediction-based double-booking strategy was created and compared against two other strategies, namely random and designated time. Scenario-based experiments were then conducted to examine the impacts of different double-booking strategies on clinic's operational outcomes, focusing on the trade-offs between the clinic productivity (measured by daily patient throughput) and efficiency (measured by visit cycle and patient wait time for doctor). The results showed that the best productivity-efficiency balance was derived under the prediction-based double-booking strategy. The proposed hybrid decision analytics approach has the potential to better support decision-making in primary care operations management and improve the system's performance. Further, it can be generalized in the context of various healthcare settings for broader applications.

Development and Validation of the Hospital-to-Home-Health Transition Quality (H3TQ) Index: A Novel Measure to Engage Patients and Home Health Providers in Evaluating Hospital-to-Home Care Transition Quality.

BACKGROUND: Patients requiring skilled home health care (HH) after hospitalization are at high risk of adverse events. Human factors engineering (HFE) approaches can be useful for measure development to optimize hospital-to-home transitions. OBJECTIVE: To describe the development, initial psychometric validation, and feasibility of the Hospital-to-Home-Health-Transition Quality (H3TQ) Index to identify patient safety risks. METHODS: Development: A multisite, mixed-methods study at 5 HH agencies in rural and urban sites across the United States. Testing: Prospective H3TQ implementation on older adults' hospital-to-HH transitions. Populations Studied: Older adults and caregivers receiving HH services after hospital discharge, and their HH providers (nurses and rehabilitation therapists). RESULTS: The H3TQ is a 12-item count of hospital-to-HH transitions best practices for safety that we developed through more than 180 hours of observations and more than 80 hours of interviews. The H3TQ demonstrated feasibility of use, stability, construct validity, and concurrent validity when tested on 75 transitions. The vast majority (70%) of hospital-to-HH transitions had at least one safety issue, and HH providers identified more patient safety threats than did patients/caregivers. The most frequently identified issues were unsafe home environments (32%), medication issues (29%), incomplete information (27%), and patients' lack of general understanding of care plans (27%). CONCLUSIONS: The H3TQ is a novel measure to assess the quality of hospital-to-HH transitions and proactively identify transitions issues. Patients, caregivers, and HH providers offered valuable perspectives and should be included in safety reporting. Study findings can guide the design of interventions to optimize quality during the high-risk hospital-to-HH transition.

Implementing and validating a home-infusion central-line-associated bloodstream infection surveillance definition.

OBJECTIVE: Central-line-associated bloodstream infection (CLABSI) surveillance in home infusion therapy is necessary to track efforts to reduce infections, but a standardized, validated, and feasible definition is lacking. We tested the validity of a home-infusion CLABSI surveillance definition and the feasibility and acceptability of its implementation. DESIGN: Mixed-methods study including validation of CLABSI cases and semistructured interviews with staff applying these approaches. SETTING: This study was conducted in 5 large home-infusion agencies in a CLABSI prevention collaborative across 14 states and the District of Columbia. PARTICIPANTS: Staff performing home-infusion CLABSI surveillance. METHODS: From May 2021 to May 2022, agencies implemented a home-infusion CLABSI surveillance definition, using 3 approaches to secondary bloodstream infections (BSIs): National Healthcare Safety Program (NHSN) criteria, modified NHSN criteria (only applying the 4 most common NHSN-defined secondary BSIs), and all home-infusion-onset bacteremia (HiOB). Data on all positive blood cultures were sent to an infection preventionist for validation. Surveillance staff underwent semistructured interviews focused on their perceptions of the definition 1 and 3-4 months after implementation. RESULTS: Interrater reliability scores overall ranged from κ = 0.65 for the modified NHSN criteria to κ = 0.68 for the NHSN criteria to κ = 0.72 for the HiOB criteria. For the NHSN criteria, the agency-determined rate was 0.21 per 1,000 central-line (CL) days, and the validator-determined rate was 0.20 per 1,000 CL days. Overall, implementing a standardized definition was thought to be a positive change that would be generalizable and feasible though time-consuming and labor intensive. CONCLUSIONS: The home-infusion CLABSI surveillance definition was valid and feasible to implement.

Controlling the chaos: Information management in home-infusion central-line-associated bloodstream infection (CLABSI) surveillance.

Objectives: Access to patient information may affect how home-infusion surveillance staff identify central-line-associated bloodstream infections (CLABSIs). We characterized information hazards in home-infusion CLABSI surveillance and identified possible strategies to mitigate information hazards. Design: Qualitative study using semistructured interviews. Setting and participants: The study included 21 clinical staff members involved in CLABSI surveillance at 5 large home-infusion agencies covering 13 states and the District of Columbia. Methods: Interviews were conducted by 1 researcher. Transcripts were coded by 2 researchers; consensus was reached by discussion. Results: Data revealed the following barriers: information overload, information underload, information scatter, information conflict, and erroneous information. Respondents identified 5 strategies to mitigate information chaos: (1) engage information technology in developing reports; (2) develop streamlined processes for acquiring and sharing data among staff; (3) enable staff access to hospital electronic health records; (4) use a single, validated, home-infusion CLABSI surveillance definition; and (5) develop relationships between home-infusion surveillance staff and inpatient healthcare workers. Conclusions: Information chaos occurs in home-infusion CLABSI surveillance and may affect the development of accurate CLABSI rates in home-infusion therapy. Implementing strategies to minimize information chaos will enhance intra- and interteam collaborations in addition to improving patient-related outcomes.

A Multisite Qualitative Analysis of Perceived Roles in Medication Safety: Older Adults' Perspectives.

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.

Impact of a multifaceted early mobility intervention for critically ill children - the PICU Up! trial: study protocol for a multicenter stepped-wedge cluster randomized controlled trial.

BACKGROUND: Over 50% of all critically ill children develop preventable intensive care unit-acquired morbidity. Early and progressive mobility is associated with improved outcomes in critically ill adults including shortened duration of mechanical ventilation and improved muscle strength. However, the clinical effectiveness of early and progressive mobility in the pediatric intensive care unit has never been rigorously studied. The objective of the study is to evaluate if the PICU Up! intervention, delivered in real-world conditions, decreases mechanical ventilation duration (primary outcome) and improves delirium and functional status compared to usual care in critically ill children. Additionally, the study aims to identify factors associated with reliable PICU Up! delivery. METHODS: The PICU Up! trial is a stepped-wedge, cluster-randomized trial of a pragmatic, interprofessional, and multifaceted early mobility intervention (PICU Up!) conducted in 10 pediatric intensive care units (PICUs). The trial's primary outcome is days alive free of mechanical ventilation (through day 21). Secondary outcomes include days alive and delirium- and coma-free (ADCF), days alive and coma-free (ACF), days alive, as well as functional status at the earlier of PICU discharge or day 21. Over a 2-year period, data will be collected on 1,440 PICU patients. The study includes an embedded process evaluation to identify factors associated with reliable PICU Up! delivery. DISCUSSION: This study will examine whether a multifaceted strategy to optimize early mobility affects the duration of mechanical ventilation, delirium incidence, and functional outcomes in critically ill children. This study will provide new and important evidence on ways to optimize short and long-term outcomes for pediatric patients. TRIAL REGISTRATION: ClinicalTrials.gov NCT04989790. Registered on August 4, 2021.

Human-Centered Design of a Clinical Decision Support for Anemia Screening in Children with Inflammatory Bowel Disease.

BACKGROUND: Inflammatory bowel disease (IBD) commonly leads to iron deficiency anemia (IDA). Rates of screening and treatment of IDA are often low. A clinical decision support system (CDSS) embedded in an electronic health record could improve adherence to evidence-based care. Rates of CDSS adoption are often low due to poor usability and fit with work processes. One solution is to use human-centered design (HCD), which designs CDSS based on identified user needs and context of use and evaluates prototypes for usefulness and usability. OBJECTIVES: this study aimed to use HCD to design a CDSS tool called the IBD Anemia Diagnosis Tool, IADx. METHODS: Interviews with IBD practitioners informed creation of a process map of anemia care that was used by an interdisciplinary team that used HCD principles to create a prototype CDSS. The prototype was iteratively tested with "Think Aloud" usability evaluation with clinicians as well as semi-structured interviews, a survey, and observations. Feedback was coded and informed redesign. RESULTS: Process mapping showed that IADx should function at in-person encounters and asynchronous laboratory review. Clinicians desired full automation of clinical information acquisition such as laboratory trends and analysis such as calculation of iron deficit, less automation of clinical decision selection such as laboratory ordering, and no automation of action implementation such as signing medication orders. Providers preferred an interruptive alert over a noninterruptive reminder. CONCLUSION: Providers preferred an interruptive alert, perhaps due to the low likelihood of noticing a noninterruptive advisory. High levels of desire for automation of information acquisition and analysis with less automation of decision selection and action may be generalizable to other CDSSs designed for chronic disease management. This underlines the ways in which CDSSs have the potential to augment rather than replace provider cognitive work.

The need to expand the infection prevention workforce in home infusion therapy.

Infection prevention and surveillance training approaches for home infusion therapy have not been well defined. We interviewed home infusion staff who perform surveillance activities about barriers to and facilitators for central line-associated bloodstream infection (CLABSI) surveillance and identified barriers to training in CLABSI surveillance. Our findings show a lack of formal surveillance training for staff. This gap can be addressed by adapting existing training resources to the home infusion setting.

Implementing a Toolkit to Improve the Education of Patients on Home-Based Outpatient Parenteral Antimicrobial Therapy (OPAT).

BACKGROUND: Patients discharged to the home on home-based outpatient parenteral antimicrobial therapy (OPAT) perform their own infusions and catheter care; thus, they require high-quality training to improve safety and the likelihood of treatment success. This article describes the study team's experience piloting an educational toolkit for patients on home-based OPAT. METHODS: An OPAT toolkit was developed to address barriers such as unclear communication channels, rushed instruction, safe bathing with an intravenous (IV) catheter, and lack of standardized instructions. The research team evaluated the toolkit through interviews with home infusion nurses implementing the intervention, surveys of 20 patients who received the intervention, and five observations of the home infusion nurses delivering the intervention to patients and caregivers. RESULTS: Of surveyed patients, 90.0% were comfortable infusing medications at the time of discharge, and 80.0% with bathing with the IV catheter. While all practiced on equipment, 75.0% used the videos and the paper checklists. Almost all (95.0%) were satisfied with their training, and all were satisfied with managing their IV catheters at home. The videos were considered very helpful, particularly as reference. Overall, nurses adjusted training to patient characteristics and modified the toolkit over time. Shorter instruction forms were more helpful than longer instruction forms. CONCLUSION: Developing a toolkit to improve the education of patients on home-based OPAT has the potential to improve the safety of and experience with home-based OPAT.

Team Cognition in Handoffs: Relating System Factors, Team Cognition Functions and Outcomes in Two Handoff Processes.

OBJECTIVE: This study investigates how team cognition occurs in care transitions from operating room (OR) to intensive care unit (ICU). We then seek to understand how the sociotechnical system and team cognition are related. BACKGROUND: Effective handoffs are critical to ensuring patient safety and have been the subject of many improvement efforts. However, the types of team-level cognitive processing during handoffs have not been explored, nor is it clear how the sociotechnical system shapes team cognition. METHOD: We conducted this study in an academic, Level 1 trauma center in the Midwestern United States. Twenty-eight physicians (surgery, anesthesia, pediatric critical care) and nurses (OR, ICU) participated in semi-structured interviews. We performed qualitative content analysis and epistemic network analysis to understand the relationships between system factors, team cognition in handoffs and outcomes. RESULTS: Participants described three team cognition functions in handoffs-(1) information exchange, (2) assessment, and (3) planning and decision making; information exchange was mentioned most. Work system factors influenced team cognition. Inter-professional handoffs facilitated information exchange but included large teams with diverse backgrounds communicating, which can be inefficient. Intra-professional handoffs decreased team size and role diversity, which may simplify communication but increase information loss. Participants in inter-professional handoffs reflected on outcomes significantly more in relation to system factors and team cognition (p < 0.001), while participants in intra-professional handoffs discussed handoffs as a task. CONCLUSION: Handoffs include team cognition, which was influenced by work system design. Opportunities for handoff improvement include a flexibly standardized process and supportive tools/technologies. We recommend incorporating perspectives of the patient and family in future work.

Multicenter study of racial and ethnic inequities in liver transplantation evaluation: Understanding mechanisms and identifying solutions.

Racial and ethnic disparities persist in access to the liver transplantation (LT) waiting list; however, there is limited knowledge about underlying system-level factors that may be responsible for these disparities. Given the complex nature of LT candidate evaluation, a human factors and systems engineering approach may provide insights. We recruited participants from the LT teams (coordinators, advanced practice providers, physicians, social workers, dieticians, pharmacists, leadership) at two major LT centers. From December 2020 to July 2021, we performed ethnographic observations (participant-patient appointments, committee meetings) and semistructured interviews (N = 54 interviews, 49 observation hours). Based on findings from this multicenter, multimethod qualitative study combined with the Systems Engineering Initiative for Patient Safety 2.0 (a human factors and systems engineering model for health care), we created a conceptual framework describing how transplant work system characteristics and other external factors may improve equity in the LT evaluation process. Participant perceptions about listing disparities described external factors (e.g., structural racism, ambiguous national guidelines, national quality metrics) that permeate the LT evaluation process. Mechanisms identified included minimal transplant team diversity, implicit bias, and interpersonal racism. A lack of resources was a common theme, such as social workers, transportation assistance, non-English-language materials, and time (e.g., more time for education for patients with health literacy concerns). Because of the minimal data collection or center feedback about disparities, participants felt uncomfortable with and unadaptable to unwanted outcomes, which perpetuate disparities. We proposed transplant center-level solutions (i.e., including but not limited to training of staff on health equity) to modifiable barriers in the clinical work system that could help patient navigation, reduce disparities, and improve access to care. Our findings call for an urgent need for transplant centers, national societies, and policy makers to focus efforts on improving equity (tailored, patient-centered resources) using the science of human factors and systems engineering.

Understanding Hazards for Adverse Drug Events Among Older Adults After Hospital Discharge: Insights From Frontline Care Professionals.

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.