A Culturally Adapted Perioperative Mental Health Intervention for Older Black Surgical Patients.

OBJECTIVES: Perioperative mental health of older Black surgical patients is associated with poor surgical outcomes; however, evidence-based perioperative interventions are lacking. Our two study objectives included: first, examine factors affecting perioperative care experiences of older Black surgical patients with mental health problems, and second, ascertain design and implementation requirements for a culturally-adapted perioperative mental health intervention. DESIGN SETTING AND PARTICIPANTS: We conducted six focus groups with older Black patients (n = 15; ≥50 years; surgery within the past 5 years and/or interest in mental health research; history of distress, anxiety, or depression coping with surgery/hospitalization/) from a large academic medical center. We engaged study partners, including interventionists and community members, to gather insights on intervention and implementation needs. We followed a hybrid inductive-deductive thematic approach using open coding and the National Institute on Minority Health and Health Disparities Research Framework. RESULTS: Patients reported that their psychological well-being and long-term mental health outcomes were not appropriately considered during perioperative care. Perceived stressors included interpersonal and structural barriers to using mental healthcare services, clinician treatment biases and ageism in care, and lack of healthcare professional connections/resources. Patients utilized various coping strategies, including talk therapy, faith/spirituality, and family and friends. CONCLUSION: This study offers valuable insights into the experiences of older Black surgical patients and the critical elements for developing a personalized perioperative mental health intervention to support their well-being before, during, and after surgery. Our findings demonstrated a need for a patient-centered and culturally adapted intervention targeting the individual/behavioral and interpersonal levels. Informed by the cultural adaptation framework, we propose a multi-component intervention that integrates psychological and pharmacological components.

A Perioperative Mental Health Intervention for Depressed and Anxious Older Surgical Patients: Results From a Feasibility Study.

OBJECTIVES: The perioperative period is challenging and stressful for older adults. Those with depression and/or anxiety have an increased risk of adverse surgical outcomes. We assessed the feasibility of a perioperative mental health intervention composed of medication optimization and a wellness program following principles of behavioral activation and care coordination for older surgical patients. METHODS: We included orthopedic, oncologic, and cardiac surgical patients aged 60 and older. Feasibility outcomes included study reach, the number of patients who agreed to participate out of the total eligible; and intervention reach, the number of patients who completed the intervention out of patients who agreed to participate. Intervention efficacy was assessed using the Patient Health Questionnaire for Anxiety and Depression (PHQ-ADS). Implementation potential and experiences were collected using patient surveys and qualitative interviews. Complementary caregiver feedback was also collected. RESULTS: Twenty-three out of 28 eligible older adults participated in this study (mean age 68.0 years, 65% women), achieving study reach of 82% and intervention reach of 83%. In qualitative interviews, patients (n = 15) and caregivers (complementary data, n = 5) described overwhelmingly positive experiences with both the intervention components and the interventionist, and reported improvement in managing depression and/or anxiety. Preliminary efficacy analysis indicated improvement in PHQ-ADS scores (F = 12.13, p <0.001). CONCLUSIONS: The study procedures were reported by participants as feasible and the perioperative mental health intervention to reduce anxiety and depression in older surgical patients showed strong implementation potential. Preliminary data suggest its efficacy for improving depression and/or anxiety symptoms. A randomized controlled trial assessing the intervention and implementation effectiveness is currently ongoing.

User-Centered Design of a Machine Learning Dashboard for Prediction of Postoperative Complications.

BACKGROUND: Machine learning models can help anesthesiology clinicians assess patients and make clinical and operational decisions, but well-designed human-computer interfaces are necessary for machine learning model predictions to result in clinician actions that help patients. Therefore, the goal of this study was to apply a user-centered design framework to create a user interface for displaying machine learning model predictions of postoperative complications to anesthesiology clinicians. METHODS: Twenty-five anesthesiology clinicians (attending anesthesiologists, resident physicians, and certified registered nurse anesthetists) participated in a 3-phase study that included (phase 1) semistructured focus group interviews and a card sorting activity to characterize user workflows and needs; (phase 2) simulated patient evaluation incorporating a low-fidelity static prototype display interface followed by a semistructured interview; and (phase 3) simulated patient evaluation with concurrent think-aloud incorporating a high-fidelity prototype display interface in the electronic health record. In each phase, data analysis included open coding of session transcripts and thematic analysis. RESULTS: During the needs assessment phase (phase 1), participants voiced that (a) identifying preventable risk related to modifiable risk factors is more important than nonpreventable risk, (b) comprehensive patient evaluation follows a systematic approach that relies heavily on the electronic health record, and (c) an easy-to-use display interface should have a simple layout that uses color and graphs to minimize time and energy spent reading it. When performing simulations using the low-fidelity prototype (phase 2), participants reported that (a) the machine learning predictions helped them to evaluate patient risk, (b) additional information about how to act on the risk estimate would be useful, and (c) correctable problems related to textual content existed. When performing simulations using the high-fidelity prototype (phase 3), usability problems predominantly related to the presentation of information and functionality. Despite the usability problems, participants rated the system highly on the System Usability Scale (mean score, 82.5; standard deviation, 10.5). CONCLUSIONS: Incorporating user needs and preferences into the design of a machine learning dashboard results in a display interface that clinicians rate as highly usable. Because the system demonstrates usability, evaluation of the effects of implementation on both process and clinical outcomes is warranted.

Perioperative Anxiety and Depression in Older Adults: Epidemiology and Treatment.

The intervals before and after major surgery is a high-risk period for older adults; in this setting, anxiety and depression are common and serious problems. We comprehensively reviewed current evidence on perioperative anxiety and depression in older adults, focusing on epidemiology, impact, correlates, medication risks, and treatment. Principles of perioperative mental healthcare are proposed based on the findings. Prevalence estimates of clinically significant anxiety and depression range from 5% to 45% for anxiety and 6% to 52% for depression, depending on surgical populations and measurement tools. Anxiety and depression may increase risk for surgical complications and reduce patient participation during rehabilitation. Medical comorbidities, pain, insomnia, cognitive impairment, and delirium are common co-occurring problems. Concomitant uses of central nervous system acting medications (benzodiazepines, anticholinergics, and opioids) amplify the risks of delirium and falls. Based on these findings, we propose that anxiety and depression care should be part of perioperative management in older adults; components include education, psychological support, opioid-sparing pain management, sleep management, deprescribing central nervous system active medications, and continuation and optimization of existing antidepressants. More research is needed to test and improve these care strategies.

Integrating machine learning predictions for perioperative risk management: Towards an empirical design of a flexible-standardized risk assessment tool.

BACKGROUND: Surgical patients are complex, vulnerable, and prone to postoperative complications that can potentially be mitigated with quality perioperative risk assessment and management. Several institutions have incorporated machine learning (ML) into their patient care to improve awareness and support clinician decision-making along the perioperative spectrum. Recent research suggests that ML risk prediction can support perioperative patient risk monitoring and management across several situations, including the operating room (OR) to intensive care unit (ICU) handoffs. OBJECTIVES: Our study objectives were threefold: (1) evaluate whether ML-generated postoperative predictions are concordant with clinician-generated risk rankings for acute kidney injury, delirium, pneumonia, deep vein thrombosis, and pulmonary embolism, and establish their associated risk factors; (2) ascertain clinician end-user suggestions to improve adoption of ML-generated risks and their integration into the perioperative workflow; and (3) develop a user-friendly visualization format for a tool to display ML-generated risks and risk factors to support postoperative care planning, for example, within the context of OR-ICU handoffs. METHODS: Graphical user interfaces for postoperative risk prediction models were assessed for end-user usability through cognitive walkthroughs and interviews with anesthesiologists, surgeons, certified registered nurse anesthetists, registered nurses, and critical care physicians. Thematic analysis relying on an explanation design framework was used to identify feedback and suggestions for improvement. RESULTS: 17 clinicians participated in the evaluation. ML estimates of complication risks aligned with clinicians' independent rankings, and related displays were perceived as valuable for decision-making and care planning for postoperative care. During OR-ICU handoffs, the tool could speed up report preparation and remind clinicians to address patient-specific complications, thus providing more tailored care information. Suggestions for improvement centered on electronic tool delivery; methods to build trust in ML models; modifiable risks and risk mitigation strategies; and additional patient information based on individual preferences (e.g., surgical procedure). CONCLUSIONS: ML estimates of postoperative complication risks can provide anticipatory guidance, potentially increasing the efficiency of care planning. We have offered an ML visualization framework for designing future ML-augmented tools and anticipate the development of tools that recommend specific actions to the user based on ML model output.

Multi-stakeholder perspectives regarding preferred modalities for mental health intervention delivered in the orthopedic clinic: a qualitative analysis.

BACKGROUND: Although depressive and anxious symptoms negatively impact musculoskeletal health and orthopedic outcomes, a gap remains in identifying modalities through which mental health intervention can realistically be delivered during orthopedic care. The purpose of this study was to understand orthopedic stakeholders' perceptions regarding the feasibility, acceptability, and usability of digital, printed, and in-person intervention modalities to address mental health as part of orthopedic care. METHODS: This single-center, qualitative study was conducted within a tertiary care orthopedic department. Semi-structured interviews were conducted between January and May 2022. Two stakeholder groups were interviewed using a purposive sampling approach until thematic saturation was reached. The first group included adult orthopedic patients who presented for management of ≥ 3 months of neck or back pain. The second group included early, mid, and late career orthopedic clinicians and support staff members. Stakeholders' interview responses were analyzed using deductive and inductive coding approaches followed by thematic analysis. Patients also performed usability testing of one digital and one printed mental health intervention. RESULTS: Patients included 30 adults out of 85 approached (mean (SD) age 59 [14] years, 21 (70%) women, 12 (40%) non-White). Clinical team stakeholders included 22 orthopedic clinicians and support staff members out of 25 approached (11 (50%) women, 6 (27%) non-White). Clinical team members perceived a digital mental health intervention to be feasible and scalable to implement, and many patients appreciated that the digital modality offered privacy, immediate access to resources, and the ability to engage during non-business hours. However, stakeholders also expressed that a printed mental health resource is still necessary to meet the needs of patients who prefer and/or can only engage with tangible, rather than digital, mental health resources. Many clinical team members expressed skepticism regarding the current feasibility of scalably incorporating in-person support from a mental health specialist into orthopedic care. CONCLUSIONS: Although digital intervention offers implementation-related advantages over printed and in-person mental health interventions, a subset of often underserved patients will not currently be reached using exclusively digital intervention. Future research should work to identify combinations of effective mental health interventions that provide equitable access for orthopedic patients. TRIAL REGISTRATION: Not applicable.

A multi- and mixed-method adaptation study of a patient-centered perioperative mental health intervention bundle.

BACKGROUND: Anxiety and depression are common among older adults and can intensify during perioperative periods, but few mental health interventions are designed for older surgical patients' unique needs. As part of the feasibility trial, we developed and adapted a perioperative mental health (PMH) bundle for older patients comprised of behavioral activation (BA) and medication optimization (MO) to ameliorate anxiety and depressive symptoms before, during, and after cardiac, orthopedic, and oncologic surgery. METHODS: We used mixed-methods including workshop studios with patients, caregivers, clinicians, researchers, and interventionists; intervention refinement and reflection meetings; patient case review meetings; intervention session audio-recordings and documentation forms; and patient and caregiver semi-structured interviews. We used the results to refine our PMH bundle. We used multiple analytical approaches to report the nature of adaptations, including hybrid thematic analysis and content analysis informed by the Framework for Reporting Adaptations and Modifications - Expanded. RESULTS: Adaptations were categorized by content (intervention components), context (how the intervention is delivered, based on the study, target population, intervention format, intervention delivery mode, study setting, study personnel), training, and evaluation. Of 51 adaptations, 43.1% involved content, 41.2% involved context, and 15.7% involved training and evaluation. Several key adaptations were noted: (1) Intervention content was tailored to patient preferences and needs (e.g., rewording elements to prevent stigmatization of mental health needs; adjusting BA techniques and documentation forms to improve patient buy-in and motivation). (2) Cohort-specific adaptations were recommended based on differing patient needs. (3) Compassion was identified by patients as the most important element. CONCLUSIONS: We identified evidence-based mental health intervention components from other settings and adapted them to the perioperative setting for older adults. Informed by mixed-methods, we created an innovative and pragmatic patient-centered intervention bundle that is acceptable, feasible, and responsive to the needs of older surgical populations. This approach allowed us to identify implementation strategies to improve the reach, scalability, and sustainability of our bundle, and can guide future patient-centered intervention adaptations. CLINICAL TRIALS REGISTRATION: NCT05110690 (11/08/2021).

What Are Orthopaedic Patients' and Clinical Team Members' Perspectives Regarding Whether and How to Address Mental Health in the Orthopaedic Care Setting? A Qualitative Investigation of Patients With Neck or Back Pain.

BACKGROUND: Across virtually all orthopaedic subspecialties, symptoms of depression, anxiety, and unhelpful thinking are associated with worse patient-reported satisfaction with orthopaedic treatment and increased postoperative complications. In the orthopaedic community, there is growing interest in patients' mental health in the orthopaedic care setting, but addressing mental health is still not a focus of orthopaedic clinical training. There is a persistent awareness gap about how to address mental health in orthopaedic care in a manner that is simultaneously feasible in a busy orthopaedic practice and acceptable to patients who are presenting for treatment of a musculoskeletal condition. QUESTIONS/PURPOSES: (1) What are orthopaedic patients' and clinical team members' current perceptions and motivators regarding addressing mental health as part of orthopaedic care? (2) What barriers do patients and clinicians face regarding addressing mental health as part of orthopaedic care? (3) What are facilitators for patients and clinicians related to addressing mental health as part of orthopaedic care? (4) What are practical, acceptable implementation strategies to facilitate addressing mental health as part of orthopaedic care? METHODS: This was a single-center, qualitative study conducted from January through May 2022 in the orthopaedic department of a large, urban, tertiary care academic medical center. Semistructured interviews were conducted with members of two stakeholder groups: orthopaedic patients and orthopaedic clinical team members. We interviewed 30 adult patients (of 85 patients who were eligible and approached) who had presented to our orthopaedic department for management of neck or back pain lasting for 3 or more months. By prescreening clinic schedules, patients were purposively sampled to include representatives from varied sociodemographic backgrounds and with a range of severity of self-reported symptoms of depression and anxiety (from none to severe on the Patient-Reported Outcomes Measurement Information System Depression and Anxiety measures) (mean age 59 ± 14 years, 70% [21 of 30] women, 60% [18 of 30] White, median pain duration 3.3 [IQR 1.8 to 10] years). We also interviewed 22 orthopaedic clinicians and clinical support staff members (of 106 team members who were eligible and 25 who were approached). Team members were purposively sampled to include representatives from the full range of adult orthopaedic subspecialties and early-, mid-, and late-career physicians (11 of 22 were women, 16 of 22 were White, and 13 of 22 were orthopaedic surgeons). Interviews were conducted in person or via secure video conferencing by trained qualitative researchers. The interview guides were developed using the Capability, Opportunity, Motivation, Behavior model of behavior change. Two study team members used the interview transcripts for coding and thematic analysis, and interviews with additional participants from each stakeholder group continued until two study team members independently determined that thematic saturation of the components of the Capability, Opportunity, Motivation, Behavior model had been reached. Each participant statement was coded as a perception, motivator, barrier, facilitator, or implementation strategy, and inductive coding was used to identify themes in each category. RESULTS: In contrast to the perceptions of some orthopaedic clinicians, most patients with orthopaedic conditions expressed they would like their mental well-being to be acknowledged, if not addressed, as part of a thoughtful orthopaedic care plan. Motivation to address mental health was expressed the most strongly among orthopaedic clinical team members who were aware of high-quality evidence that demonstrated a negative impact of symptoms of depression and anxiety on metrics for which they are publicly monitored or those who perceived that addressing patients' mental health would improve their own quality of life. Barriers described by patients with orthopaedic conditions that were related to addressing mental health in the context of orthopaedic care included clinical team members' use of select stigmatizing words and perceived lack of integration between responses to mental health screening measures and the rest of the orthopaedic care encounter. Orthopaedic clinical team members commonly cited the following barriers: lack of available mental health resources they can refer patients to, uncertainty regarding the appropriateness for them to discuss mental health, and time pressure and lack of expertise or comfort in discussing mental health. Facilitators identified by orthopaedic clinical teams and patients to address mental health in the context of orthopaedic care included the development of efficient, adaptable processes to deliver mental health interventions that preferably avoid wasted paper resources; initiation of mental health-related discussion by an orthopaedic clinical team member in a compassionate, relevant context after rapport with the patient has been established; and the availability of a variety of affordable, accessible mental health interventions to meet patients' varied needs and preferences. Practical implementation strategies identified as suitable in the orthopaedic setting to increase appropriate attention to patients' mental health included training orthopaedic clinical teams, establishing a department or institution "mental health champion," and integrating an automated screening question into clinical workflow to assess patients' interest in receiving mental health-related information. CONCLUSION: Orthopaedic patients want their mental health to be acknowledged as part of a holistic orthopaedic care plan. Although organization-wide initiatives can address mental health systematically, a key facilitator to success is for orthopaedic clinicians to initiate compassionate, even if brief, conversations with their patients regarding the interconnectedness of mental health and musculoskeletal health. Given the unique challenges to addressing mental health in the orthopaedic care setting, additional research should consider use of a hybrid effectiveness-implementation design to identify effective methods of addressing mental health that are feasible and appropriate for this clinical setting. CLINICAL RELEVANCE: Orthopaedic clinicians who have had negative experiences attempting to address mental health with their patients should be encouraged to keep trying. Our results suggest they should feel empowered that most patients want to address mental health in the orthopaedic care setting, and even brief conversations using nonstigmatizing language can be a valuable component of an orthopaedic treatment plan.

Ascertaining Design and Implementation Requirements for a Perioperative Neurocognitive Training Intervention for the Prevention of Persistent Pain After Surgery.

BACKGROUND: Persistent postsurgical pain (PPSP) is a common complication that impacts quality of life, often necessitating long-term opioid treatment. Certain neurocognitive factors, including reduced performance on cognitive flexibility tasks, are associated with increased risk of PPSP. We examine the perceptions of surgical patients and clinicians with regard to perioperative pain management activities and needs; patient acceptance and use of a perioperative neurocognitive training intervention; and implementation feasibility. METHODS: We conducted both individual and focus group interviews with patients undergoing thoracic surgery and clinicians in an academic medical center. The Consolidated Framework for Intervention Research guided the development of interview questions related to the adoption and implementation of a neurocognitive intervention to mitigate PPSP. A thematic analysis was used to analyze the responses. RESULTS: Forty patients and 15 clinicians participated. Interviews revealed that there is minimal discussion between clinicians and patients about PPSP. Most participants were receptive to a neurocognitive intervention to prevent PPSP, if evidence demonstrating its effectiveness were available. Potential barriers to neurocognitive training program adoption included fatigue, cognitive overload, lack of familiarity with the technology used for delivering the intervention, and immediate postoperative pain and stress. Implementation facilitators would include patient education about the intervention, incentives for its use, and daily reminders. CONCLUSION: The study identified several guiding principles for addressing patients' and clinicians' barriers to effectively implementing a neurocognitive training intervention to mitigate PPSP after surgery. To ensure the sustainability of neurocognitive interventions for preventing PPSP, such interventions would need to be adapted to meet patients' and clinicians' needs within the perioperative context.

Surgical Complications in Older Adults Predict Decline in Self-Perceived Cognitive Function in the Ensuing Year: A Cohort Study.

BACKGROUND: Surgical complications are common among older adults and are potential indicators of poorer long-term outcomes. The authors examined the effects of in-hospital complications on changes in older adults' self-perceived cognitive function in the year after surgery. METHOD: The authors conducted a prospective longitudinal study with 2,155 older adults (age ≥ 65) undergoing surgery, investigating the association between self-reported, in-hospital complications after surgery and Patient-Reported Outcomes Measurement Information System Applied Cognition-Abilities survey (4 items, cognitive function) at 30 days and 1 year after surgery. Surveys were scored on a continuous scale of 0-100, with higher scores representing better self-perceived cognitive functioning. Patient characteristics including demographics, type of complications, surgery type, pain, and activities of daily living were also collected. RESULTS: Having one in-hospital complication was associated with a decrease of 1.79 points (95% confidence interval (CI): -2.78, -0.80), indicating lower self-perceived cognitive functioning at 1 year after surgery; having two or more in-hospital complications was associated with 2.82 point (95% CI: -4.50, -1.15) decrease at 1 year after surgery. Models specific to complication type indicated that respiratory [-3.04, (95% CI: -5.50, -0.57)], neural [-2.11, (95% CI: -3.97, -0.25)], and general complications [-2.39, (95% CI: -3.51, -1.28)] were associated with statistically significant decreases in cognitive function. DISCUSSION: Older surgical patients who suffer in-hospital complications show greater decline in self-perceived cognitive function during the ensuing year. Geriatric specialists may be able to intervene in the immediate perioperative period to reduce complications and possibly mitigate cognitive decline among older adults.

Systematic Review of Intraoperative Anesthesia Handoffs and Handoff Tools.

Intraoperative handoffs between anesthesia clinicians are critical for care continuity. However, such handoffs pose a significant threat to patient safety. This systematic review synthesizes the empirical evidence on the (a) effect of intraoperative handoffs on outcomes and (b) effect of intraoperative handoff tools on outcomes. All studies on intraoperative handoffs and handoff tools published until September 2019, in any study setting and population, and with no prespecified criteria on the type of comparison and outcome were included. Data extracted from the included studies were aggregated to identify common patterns related to the type of surgery, clinician(s) involved, patient population, handoff tool, the tool design approach (where relevant), tool implementation strategies, and finally, all reported clinical and process outcomes. Quality of studies was assessed using the Newcastle-Ottawa Scale (NOS). Fourteen studies met the inclusion criteria. All included studies used adult patients. Eight studies were retrospective cohort studies that used administrative or electronic health record (EHR)-based databases to investigate the effects of intraoperative handoffs on morbidity and mortality. These studies included a total of 680,855 surgeries, with 139,426 of these surgeries having at least 1 handoff (20.47%). Seven of the studies found a positive association between intraoperative handoffs and considered outcomes. However, a pooled meta-analysis across these studies was not feasible across the retrospective studies due to differing surgical populations and varying definitions of the considered outcomes. Six studies used a nonrandomized prospective design to evaluate the effects of handoff tools on process-based outcomes such as clinician satisfaction, information transfer, handoff duration, and adherence. Five of the 6 handoff tools were checklist based. All prospective tool-based studies relied on small samples and reported a significant improvement on the considered process-based outcomes. The median quality score among retrospective (median [interquartile range {IQR}] = 9 [1]) was significantly higher than that of prospective (median [IQR] = 5 [1.5]) studies (U = 21, P = .0017). This systematic review provides a unique appraisal of the current state of intraoperative handoff research. To improve the quality and outcomes of handoffs, future efforts should focus on design and implementation of standardized handoff tools integrated within EHR systems, consider the use of similar metrics for evaluating handoff process and clinical outcomes, and improve the execution and reporting of studies using standard protocols and guidelines.

A Qualitative Study of Perioperative Depression and Anxiety in Older Adults.

OBJECTIVE: We had three aims 1) understand barriers to perioperative management of anxiety and depression in older surgical patients; 2) identify preferences and requirements for interventions to manage their anxiety and depression; and 3) explore the feasibility of implementing such interventions in perioperative care. DESIGN: A qualitative study using semistructured interviews was conducted. SETTING: Participants were recruited at a large academic medical center. PARTICIPANTS: We interviewed older surgical patients and clinicians to characterize their perspectives on management of anxiety and depression symptoms, with emphasis on patient needs, barriers, and potential interventions to address these needs. MEASUREMENTS: We used the Consolidated Framework for Intervention Research to guide the development of interview questions related to intervention implementation feasibility. Thematic analysis was used to analyze interview responses. RESULTS: Forty semistructured interviews were conducted. Key barriers for perioperative management of depression and anxiety included fear of surgery, acute pain, postoperative neurocognitive disorders, limited understanding of what to expect regarding surgery and recovery, and overwhelmingly complex medication management. Patients and clinicians suggested that a bundled mental health management intervention targeted for older surgical patient population comprised of behavioral and pharmacologic strategies can help mitigate anxiety and depression symptoms during the perioperative period. Clinicians emphasized the need for a collaborative engagement strategy that includes multiple stakeholders in the design, planning, and implementation of such an intevention. CONCLUSION: New care models need to be developed to integrate mental health care into the current perioperative care practice.

Transition in Care from EMS Providers to Emergency Department Nurses: A Systematic Review.

Background: Transitions in care between emergency medical services (EMS) providers and emergency department (ED) nurses are critical to patient care and safety. However, interactions between EMS providers and ED nurses can be problematic with communication gaps and have not been extensively studied. The aim of this review was to examine (1) factors that influence transitions in care from EMS providers to ED nurses and (2) the effectiveness of interventional strategies to improve these transitions. Methods: We conducted a mixed-methods systematic review that included searches of electronic databases (DARE, MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, CINAHL, Joanna Briggs Institute EBP), gray literature databases, organization websites, querying experts in emergency medicine, and the reference lists cited in included studies. All English-language studies of any design were eligible for inclusion. Two reviewers independently screened titles/abstracts and full-texts for inclusion and methodological quality, as well as extracted data from included studies. We used narrative and thematic synthesis to integrate and explore relationships within the data. Results: In total, 8,348 studies were screened and 130 selected for full text review. The final synthesis included 20 studies. Across 15 studies of moderate-to-high methodological quality, 6 factors influenced transitions: different professional lenses, operational constraints, professional relationships, information shared between the professions, components of the transition process, and patient presentation and involvement. Three interventions were identified in 6 methodologically weak studies: (1) transition guideline (DeMIST, Identification, Mechanism/Medical complaint, Injuries/Information related to the complaint, Signs, Treatment and Trends - Allergies, Medication, Background history, Other information [IMIST-AMBO]) with training, (2) mobile web-based technology (EMS smartphone and geographic information system location data), and (3) a new clinical role (ED ambulance off-load nurse dedicated to triaging and assessing EMS patients). There were mixed findings for the effectiveness of transition guidelines and the new clinical role. Mobile technology was seen positively by both EMS providers and ED nurses as helpful for better describing the pre-hospital context and for planning flow in the ED. Conclusion: While multimedia applications may potentially improve the handoff process, future intervention studies need to be rigorously designed. We recommend interdisciplinary training of EMS and ED staff in the use of flexible structured protocols, especially given review findings that interdisciplinary communication and relationships can be challenging.

Optimizing emergency department care transitions to outpatient settings: A systematic review and meta-analysis.

INTRODUCTION: Suboptimal transitions from the emergency department (ED) to outpatient settings can result in poor care continuity, and subsequently higher costs to the healthcare system. We aimed to systematically review care transition interventions (CTIs) for adult patients to understand how effective ED-based CTIs are in reducing return visits to the ED and increasing follow-up visits with primary care physicians. METHODS: We searched multiple databases and identified eligible published RCTs of ED-based CTIs affecting outpatient follow-up rates, ED readmission and hospital admission. Two independent authors reviewed titles and abstracts for potential inclusion and selected studies for full review. Study quality was assessed using the Cochrane risk-of-bias tool. ED-based CTIs were classified using a care continuity framework. RESULTS: Our search generated 28,807 articles; 112 were selected for full-text review. Data were abstracted from 42 articles that met inclusion criteria. Pooling data from 20 studies (n = 8178 patients) found a relative increase in outpatient follow-up with ED-based CTIs compared to routine care (odds ratio 1.79, 95% confidence interval [CI] 1.43, 2.24). However, ED-based CTIs (20 studies, n = 8048 patients) had no significant effect on ED readmissions (odds ratio 1.02, 95% CI 0.87, 1.20]) or hospital admission after ED discharge (13 studies, n = 5742 patients) (odds ratio 0.99, 95% CI 0.86, 1.14) when compared to routine care. Twenty-two studies encompassed CTIs supporting all three functions of care continuity (information, communication and coordination). CONCLUSIONS: ED-based CTIs do not appear to reduce ED revisit or hospital admission after ED discharge but are effective in increasing follow-up.

Comparison of a Nurse-Nurse Handoff Mnemonic With Real-World Handoffs.

BACKGROUND: Communication failures, including clinical handoff or clinical handover errors, contribute to 80% of all serious preventable adverse events each year. The N-PAS, N = Nurse, P = Patient Summary, A = Action Plan, and S = Synthesis, is a flexible standardized clinical handoff tool for nurses. PURPOSE: The purpose of this study was to determine the proportion of N-PAS core components present in real-world patient handoffs. METHODS: A mixed-methods design was used to analyze secondary data. Patient handoffs (n = 138) were transcribed into statements and then independently coded by 2 research assistants. RESULTS: Of all handoff statements, 63.2% were coded as Patient Summary and 13.6% were coded as Action Plan, whereas Synthesis was not coded in any handoffs. Three new Patient Summary elements and 1 new Action Plan element were identified. CONCLUSION: Patient Summary and Action Plan are critical data reported during clinical handoff. A handoff synthesis is a critical step to include in handoff training.

A graph-based approach for characterizing resident and nurse handoff conversations.

Prior research has used a variety of qualitative and quantitative approaches for studying handoff communication. Due to the dynamic and interactive nature of handoffs, characterizing the structure and content of these conversations is challenging. In this paper, we use a graph-based approach to characterize handoff communication as a conversation network. Conversation networks were used to compare the structural properties of resident-resident and nurse-nurse handoff communication. Resident (n = 149) and nurse (n = 126) handoff conversations from general medicine units were coded using a previously validated clinical content framework. The coded conversations were then translated into separate resident and nurse conversation networks, and were compared using 11 network measures. Transition probabilities were used to identify commonly repeating sub-networks within resident and nurse conversations. There were significant differences between resident and nurse conversation networks in 10 of the 11 network measures. There were also significant differences in the structure of conversations: compared to resident conversations, nurse conversations were focused on fewer clinical content categories and had more branching and switching between clinical content categories; however, there were clinically-relevant organic relationships in the order of presentation of clinical content among both resident and nurse handoff conversations. We discuss the potential for using graph-based approach as an alternative method for characterizing interactive conversations and also suggest future directions for using network-based approaches for analyzing handoff conversations.

A Delphi study to identify the core components of nurse to nurse handoff.

AIM: The aim of this study was to identify the core components of nurse-nurse handoffs. BACKGROUND: Patient handoffs involve a process of passing information, responsibility and control from one caregiver to the next during care transitions. Around the globe, ineffective handoffs have serious consequences resulting in wrong treatments, delays in diagnosis, longer stays, medication errors, patient falls and patient deaths. To date, the core components of nurse-nurse handoff have not been identified. This lack of identification is a significant gap in moving towards a standardized approach for nurse-nurse handoff. DESIGN: Mixed methods design using the Delphi technique. METHODS: From May 2016 - October 2016, using a series of iterative steps, a panel of handoff experts gave feedback on the nurse-nurse handoff core components and the content in each component to be passed from one nurse to the next during a typical unit-based shift handoff. Consensus was defined as 80% agreement or higher. RESULTS/FINDINGS: After three rounds of participant review, 17 handoff experts with backgrounds in clinical nursing practice, academia and handoff research came to consensus on the core components of handoff: patient summary, action plan and nurse-nurse synthesis. CONCLUSION: This is the first study to identify the core components of nurse-nurse handoff. Subsequent testing of the core components will involve evaluating the handoff approach in a simulated and then actual patient care environment. Our long-term goal is to improve patient safety outcomes by validating an evidence-based handoff framework and handoff curriculum for pre-licensure nursing programmes that strengthen the quality of their handoff communication as they enter clinical practice.

Measuring content overlap during handoff communication using distributional semantics: An exploratory study.

OBJECTIVE: We develop and evaluate a methodological approach to measure the degree and nature of overlap in handoff communication content within and across clinical professions. This extensible, exploratory approach relies on combining techniques from conversational analysis and distributional semantics. MATERIALS AND METHODS: We audio-recorded handoff communication of residents and nurses on the General Medicine floor of a large academic hospital (n=120 resident and n=120 nurse handoffs). We measured semantic similarity, a proxy for content overlap, between resident-resident and nurse-nurse communication using multiple steps: a qualitative conversational content analysis; an automated semantic similarity analysis using Reflective Random Indexing (RRI); and comparing semantic similarity generated by RRI analysis with human ratings of semantic similarity. RESULTS: There was significant association between the semantic similarity as computed by the RRI method and human rating (ρ=0.88). Based on the semantic similarity scores, content overlap was relatively higher for content related to patient active problems, assessment of active problems, patient-identifying information, past medical history, and medications/treatments. In contrast, content overlap was limited on content related to allergies, family-related information, code status, and anticipatory guidance. CONCLUSIONS: Our approach using RRI analysis provides new opportunities for characterizing the nature and degree of overlap in handoff communication. Although exploratory, this method provides a basis for identifying content that can be used for determining shared understanding across clinical professions. Additionally, this approach can inform the development of flexibly standardized handoff tools that reflect clinical content that are most appropriate for fostering shared understanding during transitions of care.