Development of a conceptual model of the capacity for patients to engage in their health care: a group concept mapping study.

BACKGROUND: Patient engagement is seen as a necessary component in achieving the triple aim of improved population health, improved experience of care, and lower per capita health care costs. While there has been a substantial increase in the number of tools and patient-centered initiatives designed to help patients participate in health decisions, there remains a limited understanding of engagement from the perspective of patients and a lack of measures designed to capture the multi-faceted nature of the concept. METHODS: Development of a concept map of patient engagement followed a five-step modified Group Concept Mapping (GCM) methodology of preparation, generation, structuring, analysis and interpretation. We engaged a Project Advisory Committee at each step, along with three rounds of survey collection from clinicians and patients for element generation (272 clinicians, 61 patients), statement sorting (30 clinicians, 15 patients), and ranking and rating of statements (159 clinicians, 67 patients). The survey of three separate samples, as opposed to focus groups of 'experts,' was an intentional decision to gain a broad perspective about the concept of patient engagement. We conducted the structure and analysis steps within the groupwisdom concept mapping software. RESULTS: The final concept map comprised 47 elements organized into 5 clusters: Relationship with Provider, Patient Attitudes and Behaviors, Access, Internal Resources and External Resources. There was considerable agreement in the way elements in each cluster were rated by patients and clinicians. An analysis of the importance of the constitutive elements of patient engagement relative to their addressability highlighted actionable items in the domain of Relationship with Provider, aimed at building trust and enabling patients to ask questions. At the same time, the analysis also identified elements traditionally considered barriers to engagement, like personal access to the internet and the patient's level of digital literacy, as difficult to address by the healthcare system, but also relatively less important for patients. CONCLUSIONS: Through our GCM approach, incorporating perspectives of both patients and clinicians, we identified items that can be used to assess patient engagement efforts by healthcare systems. As a result, our study offers specific insight into areas that can be targeted for intervention by healthcare systems to improve patient engagement.

Implications for Electronic Surveys in Inpatient Settings Based on Patient Survey Response Patterns: Cross-Sectional Study.

BACKGROUND: Surveys of hospitalized patients are important for research and learning about unobservable medical issues (eg, mental health, quality of life, and symptoms), but there has been little work examining survey data quality in this population whose capacity to respond to survey items may differ from the general population. OBJECTIVE: The aim of this study is to determine what factors drive response rates, survey drop-offs, and missing data in surveys of hospitalized patients. METHODS: Cross-sectional surveys were distributed on an inpatient tablet to patients in a large, midwestern US hospital. Three versions were tested: 1 with 174 items and 2 with 111 items; one 111-item version had missing item reminders that prompted participants when they did not answer items. Response rate, drop-off rate (abandoning survey before completion), and item missingness (skipping items) were examined to investigate data quality. Chi-square tests, Kaplan-Meyer survival curves, and distribution charts were used to compare data quality among survey versions. Response duration was computed for each version. RESULTS: Overall, 2981 patients responded. Response rate did not differ between the 174- and 111-item versions (81.7% vs 83%, P=.53). Drop-off was significantly reduced when the survey was shortened (65.7% vs 20.2% of participants dropped off, P<.001). Approximately one-quarter of participants dropped off by item 120, with over half dropping off by item 158. The percentage of participants with missing data decreased substantially when missing item reminders were added (77.2% vs 31.7% of participants, P<.001). The mean percentage of items with missing data was reduced in the shorter survey (40.7% vs 20.3% of items missing); with missing item reminders, the percentage of items with missing data was further reduced (20.3% vs 11.7% of items missing). Across versions, for the median participant, each item added 24.6 seconds to a survey's duration. CONCLUSIONS: Hospitalized patients may have a higher tolerance for longer surveys than the general population, but surveys given to hospitalized patients should have a maximum of 120 items to ensure high rates of completion. Missing item prompts should be used to reduce missing data. Future research should examine generalizability to nonhospitalized individuals.

Examining the Dimensionality of Trust in the Inpatient Setting: Exploratory and Confirmatory Factor Analysis.

BACKGROUND: Trust in healthcare providers is associated with important outcomes, but has primarily been assessed in the outpatient setting. It is largely unknown how hospitalized patients conceptualize trust in their providers. OBJECTIVE: To examine the dimensionality of a measure of trust in the inpatient setting. DESIGN: Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). PARTICIPANTS: Hospitalized patients (N = 1756; 76% response rate) across six hospitals in the midwestern USA. The sample was randomly split such that approximately one half was used in the EFA, and the other half in the CFA. MAIN MEASURES: The Trust in Physician Scale, adapted for inpatient care. KEY RESULTS: Based on the Kaiser-Guttman criterion and parallel analysis, EFAs were inconclusive, indicating that trust may be comprised of either one or two factors in this sample. In follow-up CFAs, a 2-factor model fit best based on a chi-squared difference test (Δχ2 = 151.48(1), p < .001) and a Comparative Fit Index (CFI) difference test (CFI difference = .03). The overall fit for the 2-factor CFA model was good (χ2 = 293.56, df = 43, p < .01; CFI = .95; RMSEA = .081 [90% confidence interval = .072-.090]; TLI = .93; SRMR = .04). Items loaded onto two factors related to cognitive (i.e., whether patients view providers as competent) and affective (i.e., whether patients view that providers care for them) dimensions of trust. CONCLUSIONS: While measures of trust in the outpatient setting have been validated as unidimensional, in the inpatient setting, trust appears to be composed of two factors: cognitive and affective trust. This provides initial evidence that inpatient providers may need to work to ensure patients see them as both competent and caring in order to gain their trust.

COVID-19 Vaccinations in EMS Professionals: Prevalence and Predictors.

Background: Immunizations for emergency medical services (EMS) professionals during pandemics are an important tool to increase the safety of the workforce as well as their patients. The purpose of this study was to better understand EMS professionals' decisions to receive or decline a COVID-19 vaccine.Methods: We conducted a cross-sectional analysis of nationally certified EMS professionals (18-85 years) in April 2021. Participants received an electronic survey asking whether they received a vaccine, why or why not, and their associated beliefs using three validated scales: perceived risk of COVID-19, medical mistrust, and confidence in the COVID-19 vaccine. Data were merged with National Registry dataset demographics. Analyses included descriptive analysis and multivariable logistic regression (OR, 95% CI). Multivariate imputation by chained equations was used for missingness.Results: A total of 2,584 respondents satisfied inclusion criteria (response rate = 14%). Overall, 70% of EMS professionals were vaccinated. Common reasons for vaccination among vaccinated respondents were to protect oneself (76%) and others (73%). Common reasons for non-vaccination among non-vaccinated respondents included concerns about vaccine safety (53%) and beliefs that vaccination was not necessary (39%). Most who had not received the vaccine did not plan to get it in the future (84%). Hesitation was most frequently related to wanting to see how the vaccine was working for others (55%). Odds of COVID-19 vaccination were associated with demographics including age (referent <28 years; 39-50 years: 1.56, 1.17-2.08; >51 years: 2.22, 1.64-3.01), male sex (1.26, 1.01-1.58), residing in an urban/suburban area (referent rural; 1.36, 1.08-1.70), advanced education (referent GED/high school and below; bachelor's and above: 1.72, 1.19-2.47), and working at a hospital (referent fire-based agency; 1.53, 1.04-2.24). Additionally, vaccination odds were significantly higher with greater perceived risk of COVID-19 (2.05, 1.68-2.50), and higher vaccine confidence (2.84, 2.40-3.36). Odds of vaccination were significantly lower with higher medical mistrust (0.54, 0.46-0.63).Conclusion: Despite vaccine availability, not all EMS professionals had been vaccinated. The decision to receive a COVID-19 vaccine was associated with demographics, beliefs regarding COVID-19 and the vaccine, and medical mistrust. Efforts to increase COVID-19 vaccination rates should emphasize the safety and efficacy of vaccines.

Identifying the Factors Influencing Patients' Telehealth Visit Satisfaction: Survey Validation Through a Structural Equation Modeling Approach.

Introduction: The COVID-19 pandemic accelerated the adoption of telehealth as an alternative to in-person hospital visits. To understand the factors impacting the quality of telehealth services, there is a need for validated survey instruments and conceptual frameworks. The objective of this study is to validate a telehealth patient satisfaction survey by structural equation modeling (SEM) and determine the relationship between the factors in the proposed telehealth patient satisfaction model (TPSM). Methods: We conducted a cross-sectional survey of pediatric patients and families receiving care from a comprehensive pediatric hospital in the Midwest between September 2020 and January 2021. In total, 2,039 usable responses were collected. We used an SEM approach by performing confirmatory factor analysis with Diagonally Weighted Least Squares modeling and Partial Least Squares-Path Modeling to establish the structural validity and examined the relationships among the constructs of "Admission Process" (AP), "Perceived Quality of Service" (PQS), and "Telehealth Satisfaction" (TS). Results: Participants were predominantly White (75%) and English-speaking (95%) parents (85%) of patients (mean age of patients was 10.2 years old). The survey responses were collected from patients visiting 43 department specialties, whereas 50% were behavioral and occupational therapy patients. The structural model showed that the admission process (AP) had a strong positive impact on perceived quality of service (PQS) (p = 0.67, t = 36.1, p < 0.001). The PQS had a strong positive impact on telehealth satisfaction (TS) (p = 0.66, t = 31.8, p < 0.001). The AP had a low positive direct impact on TS (p = 0.16, t = 7.46, p < 0.05). Overall, AP and PQS explained 61% variances (R2) of TS. Conclusions: We validated a newly proposed TS assessment model by using SEM. The TPSM will inform researchers to better understand the influencing factors in TS and help health care systems to improve telehealth patient satisfaction through a validated model.

Examining Patients' Capacity to Use Patient Portals: Insights for Telehealth.

BACKGROUND: The increase in telehealth in response to the coronavirus disease 2019 pandemic highlights the need to understand patients' capacity to utilize this care modality. Patient portals are a tool whose use requires similar resources and skills as those required for telehealth. Patients' capacity to use patient portals may therefore provide insight regarding patients' readiness and capacity to use telehealth. OBJECTIVE: The aim of this study was to examine factors related to patients' capacity to use a patient portal and test the impact of these factors on patients' portal use. RESEARCH DESIGN AND SUBJECTS: Using data from a large-scale pragmatic randomized controlled trial of patient portal use, 1081 hospitalized patients responded to survey items that were then mapped onto the 4 dimensions of the Engagement Capacity Framework: self-efficacy, resources, willingness, and capabilities. MEASURES: The outcome variable was frequency of outpatient portal use. We evaluated associations between Engagement Capacity Framework dimensions and patient portal use, using regression analyses. RESULTS: Patients with fewer resources, fewer capabilities, lower willingness, and lower overall capacity to use patient portals used the portal less; in contrast, those with lower perceived self-efficacy used the portal more. CONCLUSIONS: Our findings highlight differences in patients' capacity to use patient portals, which provide an initial understanding of factors that may influence the use of telehealth and offer important guidance in efforts to support patients' telehealth use. Offering patients training tailored to the use of telehealth tools may be particularly beneficial.

Development of Residents' Self-Efficacy in Multidisciplinary Management of Breast Cancer Survey.

BACKGROUND: Treating patients with breast cancer is multidisciplinary; however, it is unclear whether surgery residency programs provide sufficient training in multidisciplinary care. Self-efficacy is one way of measuring the adequacy of training. Our goal was to develop a method of assessing self-efficacy in multidisciplinary breast cancer care. METHODS: Based on a literature review and subject-matter expert input, we developed a 30-item self-efficacy survey to measure six domains of breast cancer care (genetics, surgery, medical oncology, radiation oncology, pathology, and radiology). We constructed and validated the survey using a seven-step survey development framework. The survey was administered to general surgery residents at a single academic surgical residency. RESULTS: Response rate was 66% (n = 31). Internal consistency was strong (Cronbach alpha = 0.92). Self-efficacy was moderate (mean = 3.05) and tended to increase with training (postgraduate year [PGY] 1: mean= 2.37 versus PGY 5: mean= 3.54; P < 0.001), providing evidence for construct validity. Self-efficacy was highest in the surgery (3.56) compared with others (genetics 2.67, medical oncology 3, radiation oncology 2.67, pathology 2.67, and radiology 3.33). This trend was similar across all PGY groups, except for interns, whose self-efficacy in surgery was low. CONCLUSIONS: We created a survey to assess self-efficacy in multidisciplinary breast cancer care and provided initial evidence of survey validity. Although self-efficacy in surgery improved with years in training, medical and radiation oncology self-efficacy remained low. As modern breast cancer treatment is highly multidisciplinary, an expanded education program is needed to help trainees incorporate multidisciplinary clinical perspectives.

Examining changes in interprofessional attitudes associated with virtual interprofessional training.

Interprofessional care is essential in healthcare, but prior work has shown that physicians and nurses tend to have different perceptions about working interprofessionally (interprofessional attitudes). Although training has been shown to improve interprofessional attitudes, providing traditional face to face training is logistically challenging in the healthcare setting. The current study examined whether a virtual interprofessional training program could improve interprofessional attitudes for nurses and physicians. Among a sample of 35 physicians and nurses, results suggested that engagement in a virtual interprofessional training program was associated with improvements in interprofessional attitudes (i.e., perceived ability to work with, value in working with, and comfort in working with other professions) (p = .002), with attitudes improving an average of 0.25 points on a six-point scale (Cohen's d = 0.52). As a secondary aim, results showed that the magnitude of change in interprofessional attitudes did not differ significantly between physicians and nurses. Altogether, results suggest that virtual interprofessional training appears to be a suitable way to begin to improve interprofessional attitudes for both physicians and nurses.

A Systematic Review of Team Training in Health Care: Ten Questions.

BACKGROUND: As a result of the recent proliferation of health care team training (HTT), there was a need to update previous systematic reviews examining the underlying structure driving team training initiatives. METHODS: This investigation was guided by 10 research questions. A literature search identified 197 empirical samples detailing the evaluation of team training programs within the health care context; 1,764 measures of HTT effectiveness were identified within these samples. Trained coders extracted information related to study design and training development, implementation, and evaluation to calculate percentages detailing the prevalence of certain training features. RESULTS: HTT was rarely informed by a training needs analysis (k = 47, 23.9%) and most commonly addressed communication strategies (k = 167, 84.8%). HTT programs that incorporated practice (k = 163, 82.7%) often employed high-fidelity patient simulators (k = 38, 25.2%) and provided participants with feedback opportunities (k = 107, 65.6%). Participants were typically practicing clinicians (k = 154, 78.2%) with a lower prevalence of health care students (k = 35, 17.8). Evaluations primarily relied on repeated measures designs (k = 123, 62.4%) and self-reported data (k = 1,257, 71.3%). Additional trends were identified and are discussed. CONCLUSIONS: Many trends in HTT practice and evaluation were identified. The results of this review suggested that, in the literature, HTT programs are more frequently following recommendations for training design and implementation (for example, providing feedback) in comparison to findings from previous reviews. However, there were still many areas in which improvement could be achieved to improve patient care.

Decision Making on the Labor and Delivery Unit: An Investigation of Influencing Factors.

Objective The aim of this study was to describe the relationship between negative affect (NA), decision-making style, time stress, and decision quality in health care. Background Health care providers must often make swift, high-stakes decisions. Influencing factors of the decision-making process in this context have been understudied. Method Within a sample of labor and delivery nurses, physicians, and allied personnel, we used self-report measures to examine the impact of trait factors, including NA, decision-making style, and perceived time stress, on decision quality in a situational judgment test (Study 1). In Study 2, we observed the influence of state NA, state decision-making style, state time stress, and their relationship with decision quality on real clinical decisions. Results In Study 1, we found that trait NA significantly predicted avoidant decision-making style. Furthermore, those who were higher on trait time stress and trait avoidant decision-making style exhibited poorer decisions. In Study 2, we observed associations between state NA with state avoidant and analytical decision-making styles. We also observed that these decision-making styles, when considered in tandem with time stress, were influential in predicting clinical decision quality. Conclusion NA predicts some decision-making styles, and decision-making style can affect decision quality under time stress. This is particularly true for state factors. Application Individual differences, such as affect and decision-making style, should be considered during selection. Training to reduce time stress perceptions should be provided.

Teammate Familiarity, Teamwork, and Risk of Workplace Injury in Emergency Medical Services Teams.

INTRODUCTION: Increased teammate familiarity in emergency medical services (EMS) promotes development of positive teamwork and protects against workplace injury. METHODS: Measures were collected using archival shift records, workplace injury data, and cross-sectional surveys from a nationally representative sample of 14 EMS agencies employing paramedics, prehospital nurses, and other EMS clinicians. One thousand EMS clinicians were selected at random to complete a teamwork survey for each of their recent partnerships and tested the hypothesized role of teamwork as a mediator in the relationship between teammate familiarity and injury with the PROCESS macro. RESULTS: We received 2566 completed surveys from 333 clinicians, of which 297 were retained. Mean participation was 40.5% (standard deviation [SD] = 20.5%) across EMS agencies. Survey respondents were primarily white (93.8%), male (67.3%), and ranged between 21-62 years of age (M = 37.4, SD = 9.7). Seventeen percent were prehospital nurses. Respondents worked a mean of 3 shifts with recent teammates in the 8 weeks preceding the survey (M = 3.06, SD = 4.4). We examined data at the team level, which suggest positive views of teamwork (M = 5.92, SD = 0.69). Our hypothesis that increased teammate familiarity protects against adverse safety outcomes through development of positive teamwork was not supported. Teamwork factor Partner Adaptability and Backup Behavior is a likely mediator (odds ratio = 1.03, P = .05). When dyad familiarity is high and there are high levels of backup behavior, the likelihood of injury is increased. DISCUSSION: The relationship between teammate familiarity and outcomes is complex. Teammate adaptation and backup behavior is a likely mediator of this relationship in EMS teams with greater familiarity.

Utilizing Telemedicine in the Trauma Intensive Care Unit: Does It Impact Teamwork?

BACKGROUND: The aim of this study was to examine the impact of a telemedical robot on trauma intensive care unit (TICU) clinician teamwork (i.e., team attitudes, behaviors, and cognitions) during patient rounds. MATERIALS AND METHODS: Thirty-two healthcare providers who conduct rounds volunteered to take surveys assessing teamwork attitudes and cognitions at three time periods: (1) the onset of the study, (2) the end of the 30-day control period, and (3) the end of the 30-day experimental period, which immediately followed the control period. Rounds were recorded throughout the 30-day control period and 30-day experimental period to observe provider behaviors. For the initial 30 days, there was no access to telemedicine. For the final 30 days, the rounding healthcare providers had access to the RP-7 robot (Intouch Health Inc., Santa Barbara, CA), a telemedical tool that can facilitate patient rounds conducted away from bedside. RESULTS: Using a one-tailed, one-way repeated-measures analysis of variance (ANOVA) to compare trust at Times 1, 2, and 3, there was no significant effect on trust: F(2, 14)=1.20, p=0.16. When a one-tailed, one-way repeated-measures ANOVA to compare transactive memory systems (TMS) at Times 1, 2, and 3 was conducted, there was no significant effect on TMS: F(2, 15)=1.33, p=0.15. We conducted a one-tailed, one-way repeated-measures ANOVA to compare team psychological safety at Times 1, 2, and 3, and there was no significant effect on team psychological safety: F(2,15)=1.53, p=0.12. There was a significant difference in communication between rounds with and without telemedicine [t(25)=-1.76, p<0.05], such that there was more task-based communication during telerounds. Telemedicine increased task-based communication and did not negatively impact team trust, psychological safety, or TMS during rounds. CONCLUSIONS: Telemedicine may offer advantages for some teamwork competencies without sacrificing the efficacy of others and may be adopted by intact rounding teams without hindering teamwork.

Healthcare Experiences of Black Patients During and After Pregnancy: a Needs Assessment for Provider Training to Improve Quality of Care.

BACKGROUND: Black patients are at a higher risk of experiencing less safe and lower quality care during pregnancy and childbirth, compared to their White counterparts. Behaviors that healthcare professionals engage in that can facilitate or hinder high-quality care for this population are underexplored. We sought to explore Black patients' experiences with healthcare professionals during and after pregnancy, as a needs assessment to inform the development of training for healthcare professionals. METHODS: We conducted semi-structured interviews of Black patients who were in their third trimester of pregnancy or within 18 months of giving birth. Questions focused on experiences with healthcare professionals during pregnancy-related healthcare, including quality of care and discrimination. Thematic analysis was conducted using a combined deductive-inductive approach. Findings were considered in the context of the Institute of Medicine's Six Domains of Quality (equitable, patient-centered, timely, safe, effective, efficient). RESULTS: We interviewed 8 participants who received care from various clinics and institutions. Over half (62%) described experiencing discrimination or microaggressions during their pregnancy-related healthcare. Participants most commonly reflected upon experiences within the patient-centered care domain, regarding whether care was in alignment with their preferences, positive and negative interpersonal interactions, and varied experiences with patient education/shared decision-making. CONCLUSIONS: Black patients commonly report experiencing discrimination from healthcare professionals during pregnancy-related healthcare. Reducing microaggressions and improving patient-centered care is a key focus for healthcare professionals who serve this group. Training needs include addressing implicit bias, educating on common microaggressions, improving communication, and promoting an inclusive workplace.

Smartphone-Based Virtual and Augmented Reality Implicit Association Training (VARIAT) for Reducing Implicit Biases Toward Patients Among Health Care Providers: App Development and Pilot Testing.

Background: Implicit bias is as prevalent among health care professionals as among the wider population and is significantly associated with lower health care quality. Objective: The study goal was to develop and evaluate the preliminary efficacy of an innovative mobile app, VARIAT (Virtual and Augmented Reality Implicit Association Training), to reduce implicit biases among Medicaid providers. Methods: An interdisciplinary team developed 2 interactive case-based training modules for Medicaid providers focused on implicit bias related to race and socioeconomic status (SES) and sexual orientation and gender identity (SOGI), respectively. The simulations combine experiential learning, facilitated debriefing, and game-based educational strategies. Medicaid providers (n=18) participated in this pilot study. Outcomes were measured on 3 domains: training reactions, affective knowledge, and skill-based knowledge related to implicit biases in race/SES or SOGI. Results: Participants reported high relevance of training to their job for both the race/SES module (mean score 4.75, SD 0.45) and SOGI module (mean score 4.67, SD 0.50). Significant improvement in skill-based knowledge for minimizing health disparities for lesbian, gay, bisexual, transgender, and queer patients was found after training (Cohen d=0.72; 95% CI -1.38 to -0.04). Conclusions: This study developed an innovative smartphone-based implicit bias training program for Medicaid providers and conducted a pilot evaluation on the user experience and preliminary efficacy. Preliminary evidence showed positive satisfaction and preliminary efficacy of the intervention.

When Infections Are Found: A Qualitative Study Characterizing Best Management Practices for Central Line-Associated Bloodstream Infection and Catheter-Associated Urinary Tract Infection Performance Monitoring and Feedback.

Healthcare-associated infections (HAIs) remain a significant patient safety problem that can lead to illness and death, despite the implementation of clinical bundles to prevent HAIs. Management practices can support HAI prevention, but their role in HAI performance monitoring and feedback is not well understood. To address this knowledge gap, we previously conducted semi-structured interviews with staff at 18 hospitals to examine the role of management practices around the prevention of central line-associated bloodstream infections (CLABSIs) and catheter-associated urinary tract infections (CAUTIs). Interview transcripts were analyzed to identify themes related to HAI performance monitoring and feedback. The current analysis focuses on 10 higher-performing hospitals that were successful in preventing CLABSIs and CAUTIs. These institutions had robust practices including timely event analysis, leadership engagement, and multidisciplinary participation in HAI reviews. Across these sites, we found common goals including investigating HAIs without blame and identifying opportunities for improvement. Management practices such as timely analysis of HAIs, collaboration between facility leadership and multidisciplinary team members, and a focus on identifying the failure of a procedure or protocol, rather than the failure of staff members, are all approaches that can support infection prevention efforts. These management practices may be especially important as hospitals attempt to address increases in CLABSI and CAUTI rates that may have occurred during the coronavirus pandemic.

A Qualitative Examination of Interprofessional Teamwork for Infection Prevention: Development of a Model and Solutions.

Health care-associated infections (HAIs), such as central line-associated bloodstream infections (CLABSIs) and catheter-associated urinary tract infections (CAUTIs), are associated with patient mortality and high costs to the health care system. These are largely preventable by practices such as prompt removal of central lines and Foley catheters. While seemingly straightforward, these practices require effective teamwork between physicians and nurses to be enacted successfully. Understanding the dynamics of interprofessional teamwork in the HAI prevention context requires further examination. We interviewed 420 participants (physicians, nursing, others) across 18 hospitals about interprofessional collaboration in this context. We propose an Input-Mediator-Output-Input (IMOI) model of interprofessional teamwork in the context of HAI prevention, suggesting that various organizational processes and structures facilitate specific teamwork attitudes, behaviors, and cognitions, which subsequently lead to HAI prevention outcomes including timeliness of line and Foley removal, ensuring sterile technique, and hand hygiene. We then propose strategies to improve interprofessional teamwork around HAI prevention.

Decision-making for pediatric cervical spine imaging after blunt trauma: Investigating team dynamics in the emergency department.

Objective: Cervical spine imaging decision-making for pediatric traumas is complex and multidisciplinary. Implementing a risk assessment tool has the potential to reduce variation in these decisions and unnecessary radiation exposure for pediatric patients. We sought to determine how emergency department-trauma team dynamics may affect implementation of such a tool. Methods: We interviewed (pediatric and general emergency physicians, trauma surgeons, neurosurgeons, orthopedic surgeons and ED nurses at 21 hospitals to ascertain how team dynamics affect the pediatric cervical spine imaging decision-making process. Data were coded following a framework-driven deductive coding process and thematic analysis was used. Results: Forty-eight physicians, advanced practice providers, and nurses from 21 hospitals (inclusive of three US regions, trauma levels I-III, and serving towns/cities of various population sizes) were interviewed. Overall, emergency physicians and trauma surgeons indicate being generally responsible for pediatric cervical spine imaging decisions. Conflict often occurs between these specialties due to differential weighting of concerns for missing an injury versus avoiding radiation exposure. Participants described a lack of trust and unclear roles regarding ownership for the final imaging decision. Nurses commonly described low psychological safety that prohibits them from participating in the decision-making process. Conclusions: Implementation of a standardized risk assessment tool for cervical spine trauma imaging decisions must consider perspectives of both emergency medicine and trauma. Policies to define appropriate use of standardized tools within this team environment should be developed.

Type, Timing, Frequency, and Durability of Outcome of Physical Therapy for Parkinson Disease: A Systematic Review and Meta-Analysis.

Importance: Parkinson disease (PD) is a neurodegenerative syndrome affecting approximately 1% of the population older than 60 years, and a major goal of treatment is preservation of physical function through physical therapy (PT). Although PT outcomes for PD are well documented, aggregate information on the parameters of PT are needed to guide implementation. Objective: To evaluate current evidence on the types, timing, frequency, duration, and outcomes of PT regimens applied for PD. Data Sources: PubMed, Embase, Medline, and the Web of Science Core Collection were searched for articles published from January 1, 2000, to August 10, 2022. Search terms included terms related to Parkinson disease, PT interventions, and PT-related outcomes. Study Selection: Included studies were peer-reviewed randomized clinical trials available in English of any PT intervention for patients with PD that included PT-related outcomes. The Preferred Reporting Items for Systematic Reviews and Meta-analyses reporting guideline was followed. Data Extraction and Synthesis: Two reviewers extracted data and assessed quality using the Cochrane Risk of Bias Tool. Data were analyzed using a random-effects model. Main Outcomes and Measures: A meta-analysis compared outcomes of nonstandard PT vs standard PT and standard PT vs no intervention for Unified Parkinson's Disease Rating Scale (UPDRS) score and measures of gait and balance. Results: A total of 46 trials with 3905 patients were included (range of mean ages, 61-77 years). Ten trials (22%) compared 2 types of nonstandard PT interventions; 26 (57%), nonstandard PT vs standard PT; and 10 (22%), PT vs no intervention. The most common nonconventional PT intervention was aquatic physiotherapy (5 trials [11%]). Durations of PT regimen ranged from 2 to 12 weeks in 39 trials (85%), and PT was most commonly performed with frequencies of either twice or 3 times weekly (27 [59%]). In most trials (39 [85%]), PT session length ranged from 30 to 60 minutes. Across trials, PT outcomes were reported for gait (14 trials [30%]), balance (10 [22%]), quality of life (3 [9%]), and cognition (1 [2%]). Approximately half of the trials (22 [48%]) documented durability of some level of benefit after completion of the prescribed regimen. Meta-analysis showed no significant difference for PT vs no intervention in UPDRS scores (standardized mean difference [SMD], -1.09; 95% CI, -2.50 to 0.33) or for nonstandard PT vs standard PT in measures of gait (SMD, 0.03; 95% CI, -0.53 to 0.59), balance (SMD, 0.54; 95% CI, -0.03 to 1.12), and UPDRS score (SMD, -0.49; 95% CI, -1.04 to 0.06). Meta-analytic regression of moderators revealed no significant differences in outcomes by frequency of PT per week (SMD, 0.17; 95% CI, -0.03 to 0.36). Conclusions and Relevance: The findings suggest that although a wide range of types and regimens of PT for PD have been tested, comparative effectiveness of different models of care and implementation strategies as well as long-term durability of their outcomes remain undetermined.

Mi-CARE: Comparing Three Evidence-Based Interventions to Promote Colorectal Cancer Screening among Ethnic Minorities within Three Different Clinical Contexts.

Multiple evidence-based interventions (EBIs) have been developed to improve the completion of colorectal cancer (CRC) screening within Federally Qualified Health Centers (FQHCs) and other safety net settings in marginalized communities. Little effort has been made, however, to evaluate their relative effectiveness across different clinical contexts and populations. To this end, we tested the relative effectiveness of three EBIs (mailed birthday cards, lay navigation, and provider-delivered education) among a convenience sample of 1252 patients (aged 50-75 years old, who were due for CRC screening and scheduled for a visit at one of three clinics within a network of Federally Qualified Health Centers (FQHCs) in the United States. To be eligible for the study, patients had to identify as African American (AA) or Latino American (LA). We compared the effects of the three EBIs on CRC screening completion using logistic regression. Overall, 20% of the study population, an increase from a baseline of 13%, completed CRC screening. Clinical demographics appeared to influence the effectiveness of the EBIs. Mailed birthday reminders appeared to be the most effective within the multi-ethnic clinic (p = 0.03), provider-delivered education within the predominantly LA clinic (p = 0.02), and lay navigation within the predominantly AA clinic (p = 0.03). These findings highlight the importance of understanding clinical context when selecting which evidence-based interventions to deploy.

Exploring the Incorporation of a Novel Cardiotoxicity Mobile Health App Into Care of Patients With Cancer: Qualitative Study of Patient and Provider Perspectives.

BACKGROUND: Cardiotoxicity is a limitation of several cancer therapies and early recognition improves outcomes. Symptom-tracking mobile health (mHealth) apps are feasible and beneficial, but key elements for mHealth symptom-tracking to indicate early signs of cardiotoxicity are unknown. OBJECTIVE: We explored considerations for the design of, and implementation into a large academic medical center, an mHealth symptom-tracking tool for early recognition of cardiotoxicity in patients with cancer after cancer therapy initiation. METHODS: We conducted semistructured interviews of >50% of the providers (oncologists, cardio-oncologists, and radiation oncologists) who manage cancer treatment-related cardiotoxicity in the participating institution (n=11), and either interviews or co-design or both with 6 patients. Data were coded and analyzed using thematic analysis. RESULTS: Providers indicated that there was no existing process to enable early recognition of cardiotoxicity and felt the app could reduce delays in diagnosis and lead to better patient outcomes. Signs and symptoms providers recommended for tracking included chest pain or tightness, shortness of breath, heart racing or palpitations, syncope, lightheadedness, edema, and excessive fatigue. Implementation barriers included determining who would receive symptom reports, ensuring all members of the patient's care team (eg, oncologist, cardiologist, and primary care) were informed of the symptom reports and could collaborate on care plans, and how to best integrate the app data into the electronic health record. Patients (n=6, 100%) agreed that the app would be useful for enhanced symptom capture and education and indicated willingness to use it. CONCLUSIONS: Providers and patients agree that a patient-facing, cancer treatment-related cardiotoxicity symptom-tracking mHealth app would be beneficial. Additional studies evaluating the role of mHealth as a potential strategy for targeted early cardioprotective therapy initiation are needed.