Pilot Study of SATELLITE Education on Nurses' Knowledge and Confidence toward Assessing and Caring for Female Victims of Sexual Violence.

Sexual violence (SV) can deeply impact victims' physical and psychosocial well-being. Yet many healthcare providers, including registered nurses (RNs), hesitate to screen patients due to a lack of confidence and knowledge. The SATELLITE Sexual Violence Assessment and Care Guide was developed to address this gap; however, the guide's educational effectiveness remained untested. This pilot study aimed to assess the feasibility, acceptability, and efficacy of an education program based on the SATELLITE guide among RNs in clinical settings (n = 8), using a pre- and post-test design. Results indicated that the education was not only feasible and acceptable, but also demonstrated the effects as desired with significant increases in RNs' knowledge and confidence in SV screening and care. The program's assessment tool was reliable, and participant recruitment was feasible. Based on these findings, it is recommended that the SATELLITE education program be further tested with a larger RN sample and extended to other healthcare providers. Additionally, exploring SATELLITE's use in different regions, cultural contexts, and healthcare settings would enhance understanding of the program's broader applicability and effectiveness.

Factors Affecting Perioperative Nurse Adherence to Ergonomic Safety Measures.

AORN has identified safety risks unique to the perioperative setting and has developed ergonomic safety measures to help prevent musculoskeletal injuries and disorders. Little is known about adherence to these safety measures or the perceived barriers and facilitators to adherence. This study used a cross-sectional survey to determine the prevalence of pain and occurrence of musculoskeletal injuries and disorders. We asked perioperative staff members about their perceived barriers and facilitators to adherence with safety measures. A total of 155 perioperative nurses in one health system completed the online survey (55% response rate). Most (93%) had experienced at least one musculoskeletal injury or disorder or related pain. Years worked as a perioperative nurse and having neck pain were associated with safety measure adherence. The most reported barrier to safety measure adherence was inadequate staffing. Study findings highlight the need for increased attention to the physical workload demands in the perioperative setting.

Efficacy of a Patient Education Session for Cancer Patients Receiving Immunotherapy.

OBJECTIVES: Our research questions include: What are gaps in cancer patients' knowledge about immunotherapy? What is the efficacy of an education session in improving cancer patients' knowledge about immunotherapy and reducing inappropriate emergency department (ED) visits? DATA SOURCES: From July 2020 to September 2021, we invited cancer patients receiving immunotherapy to participate in a one-on-one patient education session and pre-test/post-test surveys. The patient education session included an oral presentation following National Comprehensive Cancer Network guidelines, video on immunotherapy mechanisms of action, and review of written materials and alert cards. The surveys assessed patient knowledge of immunotherapies' mechanisms of action, adverse effects and their management, and health literacy. Survey data were paired with data abstracted from the electronic health record on patient ED utilization and demographic characteristics. CONCLUSION: Before the education session, knowledge gaps about immunotherapy included understanding the medical term "itis," side effects of immunotherapy, and treatment for side effects of immunotherapy. Overall, the education session significantly improved cancer patients' knowledge about immunotherapy. The education session addressed knowledge gaps by significantly increasing patients' knowledge of immunotherapy mechanisms of action, recognition of side effects, and ability to define the medical term "itis". Because our sample had low inappropriate ED utilization, we could not assess the impact of the education session on inappropriate ED utilization. IMPLICATIONS FOR NURSING PRACTICE: A multicomponent strategy for patient education was effective in improving overall knowledge uptake, especially among patients who initially had the least knowledge. Future studies should continue to explore whether patient education decreases inappropriate ED utilization.

Academic-Practice Partnership in Research: Meeting the Gold Standard.

Academic-clinical partnerships describe relationships between 2 groups to advance mutual interests, particularly collaboration on research projects. In this column, members of the Association of Leadership Science in Nursing discuss a 10-year partnership between a nurse professor at a southeast university and a nurse scientist at a health system in the southeast United States, reflections on meeting the criterion standard in our research pursuits, and lessons learned.

At Risk Safety Behaviors of the Perioperative Nursing Team: A Direct Observational Study.

BACKGROUND: The operating room setting has unique workforce hazards and extremely high ergonomic demands due to patient lifting/positioning requirements, long periods of standing, and the heavy equipment and supplies that are needed for surgical procedures. Despite worker safety policies, injuries among registered nurses are increasing. Most of the research on the ergonomic safety of nurses is conducted utilizing survey methodology, which may not provide accurate data. It is imperative to understand the at-risk safety behaviors that perioperative nurses face if we are to design interventions to prevent injury. METHODS: Two perioperative nurses were directly observed during 60 different operating room surgical procedures (n = 120 different nurses). Data were collected utilizing the job safety behavioral observation process (JBSO), which is designed specifically for the operating room environment. RESULTS: There were 82 total at-risk behaviors observed amongst the 120 perioperative nurses. More specifically, 13 (11%) of the surgical procedures had at least one perioperative nurse observed in a position of at-risk behavior, and a total of 15 (12.5%) individual perioperative nurses performed at least one at-risk behavior. CONCLUSION: More attention must be placed on the safety of the perioperative nurse if we are to retain a healthy, productive workforce to provide the highest quality patient care.

Unlocking the benefits of diversity among healthcare workforces: a holistic view.

PURPOSE: The increasing diversity among workforces - as well as the increasing diversity among patient populations served - offers a variety of opportunities and potential pitfalls for healthcare organizations and leaders. To unravel this complexity, the authors aim to holistically understand how to maximize provider and patient experiences regardless of (1) the degree to which diversity is present or lacking, and (2) the type(s) of diversity under consideration. DESIGN/METHODOLOGY/APPROACH: This conceptual paper develops a framework that combines three organizational behavior theories - emotional labor theory, similarity-attraction theory and climate theory - with evidence from the broader healthcare literature. FINDINGS: Authentic interactions yield positive outcomes for providers (i.e. improved job attitudes and work-related well-being) and patients (i.e. patient satisfaction) and acts as a mediator between demographic diversity and positive outcomes. Demographic similarity facilitates authentic interactions, whereas demographic diversity creates an initial barrier to engaging authentically with others. However, the presence of a positive diversity climate eliminates this barrier. ORIGINALITY/VALUE: The authors offer a conceptual model to unlock positive outcomes - including reduced absenteeism, better morale and improved patient satisfaction - regardless of the level and types of diversity present within the workforce. In addition to deriving an agenda for future research, the authors offer practical applications regarding how diversity can be more effectively managed and promoted within healthcare organizations.

Reducing CAUTI in patients with acute urinary retention in the critical care setting: A pilot study with electronic medical record analytics.

BACKGROUND: This study implemented and evaluated an algorithm protocol for management of indwelling urinary catheters (IUCs) among patients treated for acute urinary retention (AUR) in an intensive care unit. The algorithm protocol (1) instituted in and out catheterization before placing an IUC for retention; (2) encouraged more consistent use of medications for AUR; and (3) provided for prompt removal of IUCs placed for AUR. METHODS: An uncontrolled pre- and post-test intervention approach was used to assess the impact of the algorithm on the treatment of AUR. Bivariate and multivariate analyses assessed data collected using 2 approaches: (1) electronic extracts from the electronic medical record (EMR) vs (2) manual chart reviews. RESULTS: Findings suggest that the intervention decreased indwelling IUC days by 1.93 average days and increased medication prescription rates. An EMR extract identified fewer catheters per patient pre-intervention than a manual chart review, but otherwise the differences observed in the EMR extract and manual chart review were insignificant. CONCLUSIONS: Implications for practitioners and administrators are that the algorithm protocol may reduce CAUTI risk and - provided consistent EMR documentation - EMR extracts may represent an efficient and effective approach for monitoring data when spreading the intervention.

Using EHR Data to Identify Patient Frailty and Risk for ICU Transfer.

The predictive properties of four definitions of a frailty risk score (FRS) constructed using combinations of nursing flowsheet data, laboratory tests, and ICD-10 codes were examined for time to first intensive care unit (ICU) transfer in medical-surgical inpatients ≥50 years of age. Cox regression modeled time to first ICU transfer and Schemper-Henderson explained variance summarized predictive accuracy of FRS combinations. Modeling by age group and controlling for sex, all FRS measures significantly predicted time to first ICU transfer. Further multivariable modeling controlling for clinical characteristics substantially improved predictive accuracy. The effect of frailty on time to first ICU transfer depended on age, with highest risk in 50 to <60 years and ≥80 years age groups. Frailty prevalence ranged from 25.1% to 56.4%. Findings indicate that FRS-based frailty is a risk factor for time to first ICU transfer and should be considered in assessment and care-planning to address frailty in high-risk patients.Frailty prevalence was highest med-surg pts 60 to <70 years (56%); highest risk for time to first ICU transfer was in younger (50 to <60 years) and older (≥80 years) groups.

Transitioning from Nurse-Patient Ratios to Workload Intensity Staffing: What Helps and Hinders the Change.

OBJECTIVE: The aim of this study was to explore the facilitators and barriers in implementing a workload intensity (WI) tool. BACKGROUND: A WI tool was developed to quantify patient needs and more evenly disperse workload among nurses. METHODS: A descriptive phenomenological design was used. Semistructured interviews were conducted with 16 nurses on 5 inpatient units. Questions focused on the factors that helped or hindered the change transition to workload intensity staffing (WIS). RESULTS: WI was perceived as a positive change. Five themes were uncovered as facilitators and barriers to the change: resistance to change, intense workloads, supportive organizational culture, resources/training, and evaluation. CONCLUSIONS: Understanding barriers and facilitators to change is important for successful implementation of WIS. To promote success, leaders should provide support to staff and ensure availability of adequate resources.

Closing the gap: How women can benefit more from science, research, policies, and health services.

The consequences of the systemic errors in policies, research, and education that exclude women are still being faced. Consequently, women have higher morbidity and mortality rates in many conditions with high public health significance. Here we discuss important gaps in policy, research, and education that result in worse health outcomes for women.

Inclusion of women in FDA-regulated premarket clinical trials: A call for innovative and recommended action.

Women were historically excluded from clinical trials. Despite numerous guidance and policy, we are still seeing this exclusion throughout the research pipeline more than 40 years later. The progress that has been made to include women in clinical trials and to report data disaggregated by sex continues to be limited due to multiple factors. In this paper, we aim to review some of the current FDA funding, policies, and practice in regard to inclusion of biological sex and sociocultural gender variables. This paper provides some recommendations and actionable policies to ensure that women as well as men can benefit from the updated biomedical research and clinical trials designed to take these variables into account. Strong regulations and mandates should be in place to direct pharmaceutical companies and industry toward the inclusion of women in biomedical research instead of a series of guidelines and recommendations that have not led to sufficient progress. Additionally, regulatory agencies should be completely independent in their decision-making process. Provision of Food and Drug Administration (FDA) funding by industry user fee for instance, might compromise FDA's impartiality in the approval process. Finally, better oversight is needed by the FDA for the labeling of drugs. FDA has made a significant contribution to the progress that has been made to this date, however, some of the current action plans including the Drug Trial Snapshots need to be refined to be more responsive to the current needs.

Machine learning for predicting readmission risk among the frail: Explainable AI for healthcare.

Healthcare costs due to unplanned readmissions are high and negatively affect health and wellness of patients. Hospital readmission is an undesirable outcome for elderly patients. Here, we present readmission risk prediction using five machine learning approaches for predicting 30-day unplanned readmission for elderly patients (age ≥ 50 years). We use a comprehensive and curated set of variables that include frailty, comorbidities, high-risk medications, demographics, hospital, and insurance utilization to build these models. We conduct a large-scale study with electronic health record (her) data with over 145,000 observations from 76,000 patients. Findings indicate that the category boost (CatBoost) model outperforms other models with a mean area under the curve (AUC) of 0.79. We find that prior readmissions, discharge to a rehabilitation facility, length of stay, comorbidities, and frailty indicators were all strong predictors of 30-day readmission. We present in-depth insights using Shapley additive explanations (SHAP), the state of the art in machine learning explainability.

Frailty and In-Hospital Mortality Risk Using EHR Nursing Data.

PurposeThe purpose of this study was to evaluate four definitions of a Frailty Risk Score (FRS) derived from EHR data that includes combinations of biopsychosocial risk factors using nursing flowsheet data or International Classification of Disease, 10th revision (ICD-10) codes and blood biomarkers and its predictive properties for in-hospital mortality in adults ≥50 years admitted to medical-surgical units. Methods In this retrospective observational study and secondary analysis of an EHR dataset, survival analysis and Cox regression models were performed with sociodemographic and clinical covariates. Integrated area under the ROC curve (iAUC) across follow-up time based on Cox modeling was estimated. Results The 46,645 patients averaged 1.5 hospitalizations (SD = 1.1) over the study period and 63.3% were emergent admissions. The average age was 70.4 years (SD = 11.4), 55.3% were female, 73.0% were non-Hispanic White (73.0%), mean comorbidity score was 3.9 (SD = 2.9), 80.5% were taking 1.5 high risk medications, and 42% recorded polypharmacy. The best performing FRS-NF-26-LABS included nursing flowsheet data and blood biomarkers (Adj. HR = 1.30, 95% CI [1.28, 1.33]), with good accuracy (iAUC = .794); the reduced model with age, sex, and FRS only demonstrated similar accuracy. The poorest performance was the ICD-10 code-based FRS. Conclusion The FRS captures information about the patient that increases risk for in-hospital mortality not accounted for by other factors. Identification of frailty enables providers to enhance various aspects of care, including increased monitoring, applying more intensive, individualized resources, and initiating more informed discussions about treatments and discharge planning.

Heterogeneity in treatment effects across diverse populations.

Differences in patient characteristics, including age, sex, and race influence the safety and effectiveness of drugs, biologic products, and medical devices. Here we provide a summary of the topics discussed during the opening panel at the 2018 Johns Hopkins Center for Excellence in Regulatory Science and Innovation symposium on Assessing and Communicating Heterogeneity of Treatment Effects for Patient Subpopulations: Challenges and Opportunities. The goal of this session was to provide a brief overview of FDA-regulated therapeutics, including drugs, biologics and medical devices, and some of the major sources of heterogeneity of treatment effects (HTE) related to patient demographics, such as age, sex and race. The panel discussed the US Food and Drug Administration's role in reviewing and regulating drugs, devices, and biologic products and the challenges associated with ensuring that diverse patient populations benefit from these therapeutics. Ultimately, ensuring diverse demographic inclusion in clinical trials, and designing basic and clinical research studies to account for the intended patient population's age, sex, race, and genetic factors among other characteristics, will lead to better, safer therapies for diverse patient populations.

Differences in menopausal symptoms and female sexual function by region and ethnicity in West Texas and Central Arizona: a cross-sectional survey.

OBJECTIVE: To evaluate menopausal symptoms and sexual problems in Hispanic and non-Hispanic women in two Southwest areas. METHODS: An anonymous survey including the Green Climacteric Scale (GCS), Female Sexual Function Index (FSFI), and demographics was distributed to English and Spanish-speaking women age 40 to 60 in Scottsdale, Arizona, and West Texas. FSFI for sexually active women and GCS scores for the Hispanic and non-Hispanic women in Texas were analyzed with multivariable analysis and compared between Texas and Arizona for Non-Hispanic participants. RESULTS: Predominantly non-Hispanic women (70%), average age 51.5 (SD = 7.25) completed questionnaires (199 West Texas, 163 Scottsdale). A majority of sexually active women (88%) were found to be at risk of sexual dysfunction. Within the Texas cohort, GCS score was estimated to be 3.49 points lower (less symptoms) in Hispanic versus non-Hispanic participants [95% CI -6.58 to -0.40, P = 0.03], and FSFI score was estimated to be 2.31 points lower (more symptoms) in Hispanic versus non-Hispanic participants [95% CI -4.49 to -0.14, P = 0.04]. Among non-Hispanic women, GCS scores were lower (less symptoms) in Texas versus Arizona by 10.25 points [95% CI -14.83 to -5.66, P < 0.01], while FSFI scores were higher overall (less symptoms) in Texas by 3.65 points [95% CI 0.53-6.77), P = 0.02]. All FSFI and GCS scores were adjusted for multiple variables. CONCLUSIONS: In a group of menopausal women from the Southwest, most reported symptoms were consistent with FSD, and the degree of sexual problems appeared to be greater in the Hispanic participants from Texas.

Video Summary:http://links.lww.com/MENO/A781 .

Hospital Readmission Outcomes by Frailty Risk in Adults in Behavioral Health Acute Care.

The purpose of the current retrospective study was to determine whether frailty is predictive of 30-day readmission in adults aged ≥50 years who were admitted with a psychiatric diagnosis to a behavioral health hospital from 2013 to 2017. A total of 1,063 patients were included. A 26-item frailty risk score (FRS-26-ICD) was constructed from electronic health record (EHR) data. There were 114 readmissions. Cox regression modeling for demographic characteristics, emergent admission, comorbidity, and FRS-26-ICD determined prediction of time to readmission was modest (incremental area under the receiver operating characteristic curve = 0.671). The FRS-26-ICD was a significant predictor of readmission alone and in models with demographics and emergent admission; however, only the Elixhauser Comorbidity Index was significantly related to hazard of readmission adjusting for other factors (adjusted hazard ratio = 1.26, 95% confidence interval [1.17, 1.37]; p < 0.001), whereas FRS-26-ICD became non-significant. Frailty is a relevant syndrome in behavioral health that should be further studied in risk prediction and incorporated into care planning to prevent hospital readmissions. [Journal of Psychosocial Nursing and Mental Health Services, 59(10), 27-39.].

Food and Drug Administration Beyond the 2001 Government Accountability Office Report: Promoting Drug Safety for Women.

A 2001 U.S. Government Accountability Office (GAO) report indicated 8 of 10 drugs withdrawn from the U.S. market between 1997 and 2000 posed greater risk to women than men. We examined drugs withdrawn from the market for safety-related reasons from January 1, 2001, to January 1, 2018. To be included, drugs must be listed as discontinued on Drugs@FDA and either listed in the Federal Register or cited in literature as being withdrawn for safety-related reasons. Biologics, over-the-counter products, and medical devices were excluded. During the 17-year time span, 19 drugs were withdrawn from the market for safety-related reasons, fewer drugs per year compared to the 3-year period examined in the GAO report. Food and Drug Administration (FDA) has not recommended the market removal of any drug approved since 2005 due to the time from the start of the Q wave to the end of the T wave (QT) interval prolongation resulting in torsades de pointes (TdP) or other abnormal heart rhythms. Furthermore, no drugs approved after the implementation of FDA's 2009 guidance on drug-induced liver injury (DILI) have been withdrawn because of hepatoxicity. All, but one of the drugs discontinued from the market for safety-related reasons during the period examined were approved between 1957 and 2002. TdP and DILI are two relevant examples of drug-induced adverse events posing greater risk to women than men. FDA has made measurable progress incorporating consideration of sex and gender differences into drug trial development and FDA review of these data, supporting inclusion of women in clinical trials, providing a comprehensive drug safety review, and advancing postmarket surveillance and risk assessment, thus strengthening FDA's ability to protect public health.

Reinventing the Delivery of Care in a New Women and Children's Center Using an Integrated Lean Model.

This article describes one heath system's creation of a new women's health hospital using an innovative model integrating patient care delivery, Lean building design, and Lean integrated project methodology. The article describes a 5-year journey detailing the innovative process that guided the planning and implementation of the new care delivery model, as well as employee and leader roles, employee behavior and engagement, and key insights and lessons learned that will benefit nurse leaders.

Comparison of a Frailty Risk Score and Comorbidity Indices for Hospital Readmission Using Electronic Health Record Data.

The purpose of the current study was to investigate the predictive properties of five definitions of a frailty risk score (FRS) and three comorbidity indices using data from electronic health records (EHRs) of hospitalized adults aged ≥50 years for 3-day, 7-day, and 30-day readmission, and to identify an optimal model for a FRS and comorbidity combination. Retrospective analysis of the EHR dataset was performed, and multivariable logistic regression and area under the curve (AUC) were used to examine readmission for frailty and comorbidity. The sample (N = 55,778) was mostly female (53%), non-Hispanic White (73%), married (53%), and on Medicare (55%). Mean FRSs ranged from 1.3 (SD = 1.5) to 4.3 (SD = 2.1). FRS and comorbidity were independently associated with readmission. Predictive accuracy for FRS and comorbidity combinations ranged from AUC of 0.75 to 0.77 (30-day readmission) to 0.84 to 0.85 (3-day readmission). FRS and comorbidity combinations performed similarly well, whereas comorbidity was always independently associated with readmission. FRS measures were more associated with 30-day readmission than 7-day and 3-day readmission. [Research in Gerontological Nursing, 14(2), 91-103.].