Educational training and nursing professional self-perception in Mongolia: A prospective observational pre-post design study.

AIMS: To determine whether professional self-perception of nurses in Mongolia improves following an educational intervention and to identify differences in scores among participant subgroups. DESIGN: A prospective observational pre-post design. METHODS: Using a convenience sample of 67 nurses in Mongolia in 2019, the Nursing Professional Values Scale-3 instrument was used pre- and post-intervention. Independent and paired sample t-tests were conducted. Data were analysed using IBM SPSS 28.0.1.1 and Stata/SE 16.1. This study complied with the STROBE checklist. RESULTS: Of the 67 nurses, 92.0% were female, mean age was 32.15 years (SD 8.96), 70.0% held a bachelor's degree, 58.0% had 5 or more years' nursing experience and 51.0% were members of a professional nursing organization. After participating in the educational training, nurses reported higher overall professional self-perception as well as across subscales: activism, professionalism and caring. CONCLUSION: Considering the nursing shortage in lower-middle-income countries, it is important to recognise the influence of nurses' professional self-perception on nursing retention. This study highlights the significant role continuing educational opportunities play in increasing nurses' professional self-perception. It is imperative to explore ways of improving this perception and focusing on subgroups of nurses to help guide the use of limited resources. Further research is necessary to include nurses in other areas of Mongolia. IMPLICATION FOR THE PROFESSION: Accurately assessing nursing professional self-perception and providing educational opportunities could improve nursing professional self-perception, nursing satisfaction, patient safety and nursing retention in lower-middle-income countries. IMPACT: What problem did the study address? This study meets the need for current study on the nursing professional self-perception of nursing from the perspective of nurses in Mongolia. It addresses the dangerous nursing shortage in Mongolia by determining if an educational intervention could improve nursing professional self-perception and thus improve nursing job satisfaction and retention. What were the main findings? Mongolian nurses in this study scored in the top quartile of the NPVS-3, indicating a baseline high NPSP. Educational intervention (including translated oral education and written clinical pathways) significantly improved the nurses' professional self-perception. Nurses were eager for training in other clinical and leadership topics. Where and on whom will the research have an impact? This research can be impactful for nurses, nurse leaders and policy makers in low- and lower-middle-income countries. Specifically for nurses in Mongolia, with increasing technologies and services such as cardiac catheterization laboratories becoming available, more education in these nursing specialty areas is imperative. Professional Nursing Organizations are poised to foster more educational offerings to their members and to increase membership. Nursing education provided by international volunteer nurses with Non-Governmental Organizations can improve NPSP in nurses in LMICs. REPORTING METHOD: This study complied with the STROBE checklist. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Implementation of a Mobile Technology-Supported Diaphragmatic Breathing Intervention in Military mTBI With PTSD.

BACKGROUND: Diaphragmatic breathing is an evidence-based intervention for managing stress and anxiety; however, some military veterans with mild traumatic brain injury (mTBI) and posttraumatic stress disorder (PTSD) report challenges to learning and practicing the technique. BreatheWell Wear assists performance of breathing exercises through reminders, biofeedback, and visual, tactile, and auditory guidance. OBJECTIVE: To evaluate feasibility of implementing BreatheWell Wear, a mobile smartwatch application with companion smartphone app, as an intervention for stress management in military veterans with mTBI and PTSD. METHODS: Thirty veterans with chronic symptoms of mTBI and PTSD recruited from an interdisciplinary, intensive outpatient program participated in this pilot pragmatic clinical trial. Participants were randomly assigned to the experimental (BreatheWell Wear and conventional care) and control (conventional care) groups for 4 weeks. Conventional care included instruction on relaxation breathing and participation in behavioral health therapy. Effects on goal attainment, treatment adherence, diaphragmatic breathing technique knowledge, and stress were measured through surveys and diaries. Changes in symptoms, mood, and well-being were measured pre/postintervention via the Posttraumatic Checklist for DSM-5, Beck Anxiety Inventory, Beck Depression Inventory, and Flourishing Scale. RESULTS: Person-centered goal attainment (t = 4.009, P < .001), treatment adherence (t = 2.742, P = .001), diaphragmatic breathing technique knowledge (t = 1.637, P < .001), and reported ease of remembering to practice (t = -3.075, P = .005) were significantly greater in the experimental group. As expected, measures of PTSD, anxiety, depression, and psychological well-being showed clinically meaningful change in both groups, and both groups demonstrated reduced stress following diaphragmatic breathing. CONCLUSION: These preliminary findings indicate that BreatheWell Wear may be a clinically feasible tool for supporting diaphragmatic breathing as an intervention in veterans with mTBI and PTSD, and a future effectiveness trial is warranted.

Accuracy of self-reported severity and level of spinal cord injury.

STUDY DESIGN: Observational. OBJECTIVES: To assess accuracy of self-reported level of injury (LOI) and severity in individuals with chronic spinal cord injury (SCI) as compared with clinical examination. SETTING: An SCI Model System Hospital. METHODS: A 20-item survey evaluated demographics, physical abilities, and self-reported injury level and severity. A decision tree algorithm used responses to categorize participants into injury severity groups. Following the survey, participants underwent clinical examination to determine current injury level and severity. Participants were later asked three questions regarding S1 sparing. Chart abstraction was utilized to obtain initial injury level and severity. Injury level and severity from self-report, decision tree, clinical exam, and chart abstraction were compared. RESULTS: Twenty-eight individuals participated. Ninety-three percent correctly self-reported anatomical region of injury (ROI). Self-report of specific LOI matched current clinical LOI for 25% of participants, but matched initial LOI for 61%. Self-report of ASIA Impairment Scale (AIS) matched clinical AIS for 36%, but matched initial AIS for 46%. The injury severity decision tree was 75% accurate without, but 79% accurate with additional S1 questions. Self-report of deep anal pressure (DAP) was correct for 86% of participants, while self-report of voluntary anal contraction (VAC) was correct for 82%. CONCLUSION: Individuals with SCI are more accurate reporting ROI than specific LOI. Self-reported injury level and severity align more closely with initial clinical examination results than current exam results. Using aggregate data from multiple questions can categorize injury severity more reliably than self-report. Using this type of decision tree may improve injury severity classification in large survey studies.

Poverty and Disability: A State-Level Geospatial Analysis.

Individuals with disabilities are a growing yet understudied population. Nurses are in a prime position to address social determinants of health (SDOH), which is defined as the conditions in which people work, live, and learn that affect health. SDOH are largely responsible for the health inequities seen among individuals with disabilities. The purpose of this study was to explore the relationships between state-level poverty rates and state-level social determinants, such as housing, education, employment, health, and health care for adults with disabilities using geospatial, state-level data. This secondary data analysis used national data from the 2021 American Community Survey. Data on state poverty rates and rates of particular social determinants were used to examine differences between high- and low-poverty states for adults with disabilities. Rates, rather than numbers of adults with disabilities in poverty, were used to control for state size. The median poverty rate (27.8%) for adults with disabilities was used to create a dichotomous variable for low-poverty (n = 26) and high-poverty (n = 25) states. Independent samples t-tests were used to compare geospatial and SDOH data to understand differences between high- and low-poverty states. More adults with disabilities, regardless of race, live in high-poverty states, particularly those with ambulatory and cognitive disabilities. Adults with disabilities residing in low-poverty states have higher employment rates and more private insurance coverage. More adults with disabilities in high-poverty states smoke, live in mobile homes, and are less educated. Using an SDOH lens in caring for individuals with disabilities helps nurses better understand how economic stability, education, health, health care access, the built environment, and the community, rather than individual factors, impact the health of adults with disabilities. To improve the health of disabled persons, nurses must have a greater awareness of the influence that social determinants have on health for individuals with disabilities. Nurse training programs must build disability cultural competence into nursing curricula. Universal screening for SDOH, particularly for individuals with disabilities residing in high-poverty states, is pivotal for the best chance of improving the health and well-being of individuals with disabilities.

Sleep Quality and Disability for Custodial Grandparents Caregivers in the Southern United States.

Sleep quality amongst caregivers with disability may have been compounded by the COVID-19 pandemic. We evaluated differences in sleep quality amongst custodial grandparents from a southern state that were identified through state-based Kinship Care support groups coordinators and online. Participants (N = 102) completed the Pittsburgh Sleep Quality Index and self-reported disability statuses. Gamma tests showed a strong negative relationship between disability and sleep duration indicating fewer hours of sleep, higher use of sleep medication and greater sleep disturbances. Disability is not significantly related to sleep latency, sleep efficiency, and daytime dysfunction. T-tests showed no strength of relationship between disability and overall sleep quality. During the first year of the COVID-19 pandemic, custodial grandparents with disability had greater issues with their sleep quality than those without disability. Sleep, as it pertains to its overall preponderant role in maintaining good health, should be examined amongst custodial grandparent caregivers and those with disability.

The Consumption of Animal and Plant Foods in Areas of High Prevalence of Stroke and Colorectal Cancer.

Diets of red and processed meat have been reported as important risk factors for developing colorectal cancer. Given the racial and ethnic differences in the incidence of colorectal cancer, patterns of food consumption, and areas of residence, particularly in the South, more data is needed on the relationship between residing in a high stroke area, colorectal cancer incidence levels, and red meat and processed meat consumption. We created online surveys to ascertain meat, red meat, and healthy food consumption levels. We used OLS regression to evaluate the association between residence in Stroke Belt states and colorectal cancer incidence quartiles with food consumption. We further used path analysis using structural equation modeling to evaluate if age, sex, race/ethnicity, income, and comorbidity index mediated the association between residence in the eight-state Stroke Belt, colorectal cancer incidence groups, and meat consumption. Our sample included 923 participants, with 167 (18.1%) residing in the Stroke Belt and 13.9% being in the highest colorectal cancer incidence group. The findings show that residing in a Stroke Belt state is predictive of the consumption of overall meat 0.93 more days per week or red meat 0.55 more days per week compared to those not residing in a Stroke Belt state. These data can be used to develop future diet interventions in these high-risk areas to reduce rates of colorectal cancer and other negative health outcomes.

Using Large-Scale Sensor Data to Test Factors Predictive of Perseverance in Home Movement Rehabilitation: Optimal Challenge and Steady Engagement.

Persevering with home rehabilitation exercise is a struggle for millions of people in the US each year. A key factor that may influence motivation to engage with rehabilitation exercise is the challenge level of the assigned exercises, but this hypothesis is currently supported only by subjective, self-report. Here, we studied the relationship between challenge level and perseverance using long-term, self-determined exercise patterns of a large number of individuals (N = 2,581) engaging in home rehabilitation with a sensor-based exercise system without formal supervision. FitMi is comprised of two puck-like sensors and a library of 40 gamified exercises for the hands, arms, trunk, and legs that are designed for people recovering from a stroke. We found that individuals showed the greatest perseverance with the system over a 2-month period if they had (1) a moderate level of motor impairment and (2) high but not perfect success during the 1st week at completing the exercise game. Further, a steady usage pattern (vs. accelerating or decelerating use) was associated with more overall exercise, and declines in exercise amount over time were associated with exponentially declining session initiation probability rather than decreasing amounts of exercise once a session was initiated. These findings confirm that an optimized challenge level and regular initiation of exercise sessions predict achievement of a greater amount of overall rehabilitation exercise in a group of users of commercial home rehabilitation technology and suggest how home rehabilitation programs and exercise technologies can be optimized to promote perseverance.

The Good, the Bad, and the Indifferent: Physical Disability, Social Role Configurations, and Changes in Loneliness Among Married and Unmarried Older Adults.

Objectives: To examine how social role configurations (SRCs)-combinations of the quality of spousal, family, and friend relationships-moderate the association between functional limitations (FLs) and loneliness among married and unmarried older adults and whether this differs by gender. Method: Longitudinal data from the National Social Life, Health, and Aging Project on married (n = 945) and unmarried (n = 443) older adults (aged 57-85 years). Latent class analysis was used to identify SRCs. Tobit regression models examined the associations between FLs, SRCs, and loneliness. Results: Nine SRCs were identified. The effectiveness of SRCs for coping with FLs did not differ by marital status despite higher loneliness among the unmarried. Only for women with FLs did SRCs characterized by negativity/strain exacerbate loneliness. For men with FLs, SRCs characterized by excess positivity/support were problematic. Discussion: These findings underscore the importance of considering how SRCs provide resources for coping with FLs that have gendered implications.