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Beyond Borders: Diaspora Nurses' Voices on Retention, Respect and Resilience

ABSTRACT

This paper responds to the recently published article on nurses' turnover intentions and their lived experiences of disempowerment, moral distress and organisational neglect. While the study illuminates important workplace realities, it overlooks the perspectives of nurses who have left not only their institutions but also their countries of origin. From the vantage point of Filipino nurses in the diaspora, the decision to migrate mirrors the dynamic, cumulative processes described in the article. Migration is seldom the result of one critical incident; rather, it arises from entrenched systemic issues—understaffing, lack of respect and persistent undervaluing of nursing contributions—that transcend borders. Diaspora nurses bring with them narratives of resilience, yet their departure reflects health system fragility in their home countries and exposes new challenges in host nations. This commentary highlights the urgent need for global cooperation, stronger leadership and policy innovations that recognise migration as part of the retention equation, not apart from it.

Recombinant human alpha-N-acetylglucosamine-6-sulfatase delivered to Sanfilippo D mice with repeated intracerebroventricular injections corrects CNS pathology

by Grant L. Austin, Feng Wang, Steven Q. Le, Alexander Sorensen, Shan Li, Lai C. Foong, Srikanth Singamsetty, Jill Wood, Tsui-Fen Chou, Patricia I. Dickson

Mucopolysaccharidosis type IIID (MPS IIID; Sanfilippo D) is caused by biallelic pathogenic variants in N-acetylglucosamine-6-sulfatase (GNS), which participates in catabolism of heparan sulfate (HS) glycosaminoglycans. Characterization of MPS IIID disease at a cellular level has not been robustly achieved. We used unbiased quantitative proteomics to establish a cellular phenotype for MPS IIID mice. Recombinant human GNS (rhGNS), a variant of which previously demonstrated single dose efficacy in MPS IIID human fibroblasts and in MPS IIID neonatal mice, was used to establish a repeat dosing schedule to treat MPS IIID mice. Adult Gns KO mice or heterozygous carriers were treated via intracerebroventricular (ICV) injections and received 3, 30, or 200 μg rhGNS in 4 doses over 2 weeks or vehicle. Twenty-four hours after the final dose, HS in brain and CSF showed dose-dependent reductions, reaching carrier levels in the higher dose groups. Furthermore, the proteomic perturbations that we described were corrected by rhGNS treatment. Next, Gns KO or carrier adult mice were treated via ICV and received 3, 30 or 200 μg rhGNS or vehicle once every two weeks (Day 1, 15, 29, 43, 57, 71, 85) and were euthanized on day 91. Following treatment, total HS and MPS IIID-specific HS (GlcNAc6S) showed dose-dependent reductions in brain and CSF and markers of neuroinflammation were substantially reduced. ICV enzyme replacement therapy with rhGNS restores CNS pathology of adult MPS IIID mice even with treatment at 14-day intervals, demonstrating preclinical efficacy for MPS IIID.

Enhancing cognitive function in breast cancer survivors through community-based aerobic exercise training: protocol for a Hybrid Type I effectiveness-implementation study employing a randomised controlled design

Por: Ehlers · D. K. · Austin · J. D. · Ernst · B. · Page · L. L. · Ofori · E. · Porter · G. C. · Fanning · J. · Hickman · G. · McKim · P. · Cole · M. · Donaldson · M. · Braden · B. B. · Kunze · K. L. · Butterfield · R. J. · Baxter · L. C. · Ahles · T. A. · Estabrooks · P.
Introduction

Despite growing evidence to characterise cancer-associated cognitive decline (CACD) in women with breast cancer, interventions to mitigate CACD are limited. Emerging evidence suggests aerobic exercise may enhance cognition after breast cancer diagnosis and treatment; yet, CACD remains an understudied outcome of exercise, and few high-quality studies have been conducted. In addition to knowledge gaps in effectiveness, the translation of exercise interventions to community settings remains challenging. The Breast cancer Reasoning and Activity INtervention (BRAIN) investigates the effectiveness of aerobic exercise training, delivered in a community-based setting, for improving cognitive function in women with breast cancer and gathers information on the implementation success of the intervention.

Methods and analysis

This Hybrid Type I effectiveness–implementation study is conducted at an academic medical centre in the southwestern United States in partnership with a non-profit, community health and wellness organisation. The study enrols 160 women diagnosed with stage I–IIIa breast cancer and within 3–36 months of treatment completion into a 1:1 randomised controlled trial. Individuals randomised to the exercise group receive a 6-month, individually tailored aerobic exercise programme delivered by exercise trainers employed at local community fitness centres. The programme is progressive in nature and designed to help participants achieve aerobic exercise levels consistent with guidelines for cancer survivors. Individuals randomise to the control group receive a 6-month health education control intervention delivered virtually by hospital-based health educators. Cognitive performance (primary), self-reported cognition, patient-reported outcomes, physical activity and cardiorespiratory fitness are measured at baseline, 6 months (postintervention) and 12 months (follow-up). Brain structure and function are measured via magnetic resonance imaging (MRI) at baseline and 6 months. Implementation outcomes are defined by the RE-AIM framework, which includes reach, effectiveness, adoption, implementation and maintenance. RE-AIM outcomes are measured at baseline, 6 months, 12 months and ongoing during the study.

Ethics and dissemination

This study was approved by the Mayo Clinic Institutional Review Board (#23-000020). All participants provide informed consent prior to participation. Findings will be disseminated to scientific, clinical and community audiences through manuscripts, presentations and newsletters.

Trial registration number

NCT04816006.

Informing family physician payment reform in Canada: protocol for a cross-provincial, multimethod study

Por: Hedden · L. · Grudniewicz · A. · Katz · A. · Lavergne · M. R. · McDonald · T. · Rudoler · D. · Austin · N. · Halas · G. · Spencer · S. · Thelen · R. · Mathews · M. · McCracken · R. · McGrail · K. · Shiplett · H. · Strumpf · E. C.
Background

Amid growing concerns about primary care accessibility and the need to support longitudinal, community-based models of care, Canadian provinces have implemented major reforms to how family physicians are paid. These models share objectives of making longitudinal, community-based family practice more attractive and, to some degree, addressing long-standing disparities in pay between family medicine and other specialties. These new remuneration models require robust evaluation to guide improvements, future investments and planning.

Methods and analysis

We will conduct a multimethod study to explore physician perceptions and outcomes of these new models. First, we will complete semi-structured interviews with family physicians in British Columbia, Manitoba and Nova Scotia (provinces where a new blended compensation model has been introduced). Interviews will explore family physicians’ motivations for moving onto the blended compensation model; how the model has impacted their practice, administrative burden, visit length, capacity, changes to care coordination; and other areas of interest. Second, using provincial and national administrative datasets, we will assess the impact of these payment reforms on service volume, attachment/enrolment, continuity of care, and costs.

Ethics and dissemination

We have obtained cross-jurisdictional ethics approvals from Research Ethics British Columbia for the qualitative components and Nova Scotia Health for the quantitative components of this research. Harmonised ethics approvals have been obtained from additional institutions across all study regions. We will create summaries of findings of provincial and cross-provincial analyses and share them with relevant policymakers, physician associations and study participants. Our dissemination will also include traditional publications such as peer-reviewed articles, commentaries/editorials, and academic conferences.

Peer support enhanced behavioural crisis response teams in the emergency department: protocol for a stepped-wedge cluster-randomised controlled trial

Por: Nath · B. · Desai · R. · Cook · J. M. · Dziura · J. D. · Davis-Plourde · K. · Youins · R. · Guy · K. · Pavlo · A. J. · Smith · P. E. · Smith · P. D. · Kangas · K. · Heckmann · R. · Hart · L. · Powsner · S. · Sevilla · M. · Evans · M. · Kumar · A. · Faustino · I. V. · Hu · Y. · Bellamy · C. · W
Introduction

Despite expert recommendations to prioritise non-invasive and patient-centred approaches for behavioural crisis management, physical restraints are commonly used in the emergency department (ED). Patients describe the restraint process as coercive and dehumanising. The use of peer support workers, who are individuals with lived experience of mental illness and behavioural conditions, has shown positive patient outcomes when assisting individuals experiencing behavioural crises. However, there is limited evidence of the implementation of such an approach in the ED setting. The goal of this study is to evaluate if the implementation of a Peer support enhanced Agitation Crisis response Team (PACT) for behavioural crisis management in the ED is more effective than usual care to reduce restraint use and improve outcomes among patients presenting to the ED with behavioural crises.

Methods and analysis

We will first conduct a stakeholder-informed needs assessment to codesign the protocol and then train staff and peers in PACT intervention readiness. Next, a stepped-wedge, cluster-randomised controlled trial will be conducted over 3 years at five ED sites across a healthcare system in the Northeast USA. The PACT intervention will integrate peer delivery of trauma-informed care within a structured, interprofessional, team-based response protocol for behavioural crisis management. The primary outcome is the rate of physical restraint and/or sedation use. The secondary outcome is the level of patient agitation during the ED visit. Analyses of primary and secondary outcomes will be conducted using generalised linear mixed models.

Ethics and dissemination

This protocol has been approved by the Yale University Human Investigation Committee (protocol number 2000037554). The study is deemed minimal risk and has been granted a waiver of consent for trial participants. However, verbal consent will be obtained for a subset of patients receiving follow-up data collection. Results will be disseminated through publications in open-access, peer-reviewed journals, via scientific presentations, or through direct mail notifications.

Trial registration number

Clinicaltrials.gov: NCT06556069.

Codevelopment of a complex intervention to reduce inequalities in paediatric diabetes secondary care outcomes for children with type 1 diabetes from underserved groups

Objectives

To codevelop (with children and young people with diabetes (CYPD)) an intervention to improve diabetes control and future health outcomes of CYPD from ‘underserved’ groups, to reduce treatment outcome inequalities between different socioeconomic and ethnic groups. To follow Medical Research Council guidance for complex interventions and the COM-B (Capability, Opportunity, Motivation, Behaviour) model for behaviour change intervention development.

Design

In phase 1 (previously reported), we established the evidence base, conducted literature reviews and analysed data from semistructured interviews with CYPD and their carers. In phase 2 (this report), we applied the COM-B framework to identify intervention components; in phase 3 (this report), we evaluated these components, including focus groups with CYPD, their carers’ and healthcare practitioner (HCP) surveys, using the Acceptability, Practicability, Effectiveness, Affordability, Spill-Over Effects, Equity criteria.

Setting

Secondary care; children, young people and their carers’ were approached from two large paediatric diabetes services in England, both with socioeconomically and ethnically diverse underserved populations; paediatric diabetes HCPs were surveyed across four English regions.

Participants

N=69 underserved CYPD (aged 5–19 years) and/or family members took part in interviews; N=48 paediatric diabetes HCP survey respondents (survey 1); N=34 paediatric diabetes HCP survey respondents (survey 2); N=3 young people’s advisory group participants; N=17 underserved CYPD/carers focus group participants; N=9 wider stakeholder participants.

Results

The codevelopment process and integration of COM-B established four elements for an intervention package: (1) an enhanced peer support/mentoring programme; (2) provision of a health and well-being coach to CYPD/families; (3) family/community support to address social and community issues and (4) training for HCPs, including cultural competence, poverty proofing and to emphasise the need for increased sensitivity and better supported communication in work with CYPD from underserved groups.

Conclusions

The Diversity in Diabetes codevelopment work informed an intervention to improve diabetes care in underserved groups, reflecting sociocultural contexts and plausible support options at the individual, community and clinical levels. The ‘Diversity in Diabetes’ programme will next test feasibility and further refine the intervention package in two more paediatric diabetes centres in England.

Correlates of six-month housing instability among U.S. adults by veteran status: Exploratory study using data from the <i>All of Us</i> Program

by Hind A. Beydoun, Christian Mayno Vieytes, May A. Beydoun, Austin Lampros, Jack Tsai

Housing instability (HI) is a social determinant of health affecting adults in the United States (U.S.). Addressing HI among veterans is a national priority, and greater understanding of differences in HI between veteran and non-veteran populations would inform homeless services and research. We examined six-month prevalence and risk/protective factors associated with self-reported HI among veterans and non-veteran U.S. adults. Cross-sectional data from the All of Us Research Program (AoU) on 254,079 (24,545 veterans and 229,534 non-veterans) survey respondents were analyzed. Logistic regression models were constructed to examine rates of HI, and the association of HI with veteran status as well as demographic, socioeconomic, substance use, and health characteristics. Prevalence rates of HI were 14.9%, 11.5%, and 15.4%, in the general, veteran, and non-veteran populations, respectively. Veteran status was not significantly related to HI, after controlling for confounders. Male sex, middle age, unmarried status, lifetime cigarette smoking, and worse health were associated with greater HI odds, while higher income and health insurance availability were associated with lower HI odds, irrespective of veteran status. Racial disparities in HI were observed among non-veterans only. In addition, among non-veterans, adults who were unemployed or reported any lifetime alcohol consumption were more likely to experience HI, whereas any lifetime use of drugs was associated with lower likelihood of HI. In conclusion, although distinct sociodemographic and clinical correlates of HI were identified, HI did not differ by veteran status in a fully adjusted model.

Machine learning methods to discover hidden patterns in well‐being and resilience for healthy aging

Abstract

Background

A whole person approach to healthy aging can provide insight into social factors that may be critical. Digital technologies, such as mobile health (mHealth) applications, hold promise to provide novel insights for healthy aging and the ability to collect data between clinical care visits. Machine learning/artificial intelligence methods have the potential to uncover insights into healthy aging. Nurses and nurse informaticians have a unique lens to shape the future use of this technology.

Methods

The purpose of this research was to apply machine learning methods to MyStrengths+MyHealth de-identified data (N = 988) for adults 45 years of age and older. An exploratory data analysis process guided this work.

Results

Overall (n = 988), the average Strength was 66.1% (SD = 5.1), average Challenges 66.5% (SD = 7.5), and average Needs 60.06% (SD = 3.1). There was a significant difference between Strengths and Needs (p < 0.001), between Challenges and Needs (p < 0.001), and no significant differences between average Strengths and Challenges. Four concept groups were identified from the data (Thinking, Moving, Emotions, and Sleeping). The Thinking group had the most statistically significant challenges (11) associated with having at least one Thinking Challenge and the highest average Strengths (66.5%) and Needs (83.6%) compared to the other groups.

Conclusion

This retrospective analysis applied machine learning methods to de-identified whole person health resilience data from the MSMH application. Adults 45 and older had many Strengths despite numerous Challenges and Needs. The Thinking group had the highest Strengths, Challenges, and Needs, which aligns with the literature and highlights the co-occurring health challenges experienced by this group. Machine learning methods applied to consumer health data identify unique insights applicable to specific conditions (e.g., cognitive) and healthy aging. The next steps involve testing personalized interventions with nurses leading artificial intelligence integration into clinical care.

Comparison of Weighting Methods to Understand Improved Outcomes Attributable to Public Health Nursing Interventions

imageBackground The complex work of public health nurses (PHNs) specifically related to mental health assessment, intervention, and outcomes makes it difficult to quantify and evaluate the improvement in client outcomes attributable to their interventions. Objectives We examined heterogeneity across parents of infants served by PHNs receiving different interventions, compared the ability of traditional propensity scoring methods versus energy-balancing weight (EBW) techniques to adjust for the complex and stark differences in baseline characteristics among those receiving different interventions, and evaluated the causal effects of the quantity and variety of PHN interventions on client health and social outcomes. Methods This retrospective study of 4,109 clients used existing Omaha System data generated during the routine documentation of PHN home visit data. We estimated the effects of intervention by computing and comparing weighted averages of the outcomes within the different treatment groups using two weighting methods: (a) inverse probability of treatment (propensity score) weighting and (b) EBWs. Results Clients served by PHNs differed in baseline characteristics with clients with more signs/symptoms. Both weighting methods reduced heterogeneity in the sample. EBWs were more effective than inverse probability of treatment weighting in adjusting for multifaceted confounding and resulted in close balance of 105 baseline characteristics. Weighting the sample changed outcome patterns, especially when using EBWs. Clients who received more PHN interventions and a wider variety of them had improved knowledge, behavior, and status outcomes with no plateau over time, whereas the unweighted sample showed plateaus in outcomes over the course of home-visiting services. Discussion Causal analysis of PHN-generated data demonstrated PHN intervention effectiveness for clients with mental health signs/symptoms. EBWs are a promising tool for evaluating the true causal effect of PHN home-visiting interventions.

A Systematic Review of Nurses' Perceptions of Electronic Health Record Usability Based on the Human Factor Goals of Satisfaction, Performance, and Safety

imageThe poor usability of electronic health records contributes to increased nurses' workload, workarounds, and potential threats to patient safety. Understanding nurses' perceptions of electronic health record usability and incorporating human factors engineering principles are essential for improving electronic health records and aligning them with nursing workflows. This review aimed to synthesize studies focused on nurses' perceived electronic health record usability and categorize the findings in alignment with three human factor goals: satisfaction, performance, and safety. This systematic review was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis. Five hundred forty-nine studies were identified from January 2009 to June 2023. Twenty-one studies were included in this review. The majority of the studies utilized reliable and validated questionnaires (n = 15) to capture the viewpoints of hospital-based nurses (n = 20). When categorizing usability-related findings according to the goals of good human factor design, namely, improving satisfaction, performance, and safety, studies used performance-related measures most. Only four studies measured safety-related aspects of electronic health record usability. Electronic health record redesign is necessary to improve nurses' perceptions of electronic health record usability, but future efforts should systematically address all three goals of good human factor design.

Deficiencies in reporting inclusion/exclusion criteria and characteristics of patients in randomized controlled trials of therapeutic interventions in pressure injuries: a systematic methodological review

Abstract

Wound care is a complex procedure and the related research may include many variables. Deficiencies in the sample inclusion and exclusion criteria may limit the generalizability of randomized controlled trials (RCTs) for wound patients in the real world. This study aimed to evaluate deficiencies in reporting the inclusion and exclusion criteria and the characteristics of patients in RCTs of pressure injuries (PI) therapeutic interventions. We conducted a systematic methodological review in which 40 full text RCTs of PI treatment interventions published in English, from 2008 to 2020, were identified. Data on the general characteristics of the included RCTs and data about inclusion/exclusion criteria and characteristics of patients were collected. The inclusion/exclusion criteria were categorized into five domains (definition of disease, precision, safety, ethical/legal and administrative). Study duration (in weeks) was 8.0 (quartile 1: 2.0; quartile 3: 48.0); only 5.0% of the trials mentioned race, skin colour or ethnicity, and 37.5% reported the duration of the wound. Only 9 (22.5%) studies reported the drugs that the included patients were using and 10 (25.0%) RCTs reported adverse events. The presence of the five domains was observed only in 12.5% of RCTs and only 12 (30.0%) had the precision domain. Much more research is required in systematic assessments of the external validity of trials because there is substantial disparity between the information that is provided by RCTs and the information that is required by clinicians. We concluded that there are deficiencies in reporting of data related to inclusion/exclusion criteria and characteristics of patients of RCTs assessing PI therapeutic interventions.

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