Allison P Squires

Abstract

~

Abstract

Federal law requires school health leaders to ensure meaningful access to language resources to promote optimal health and education outcomes. This paper aims to inform all stakeholders, including decision-makers, about the importance of developing language access plans and policies. Multiple sources and legal guidelines provide a comprehensive overview of the issue. Including an examination of current practices and challenges that school nurses encounter, specifically regarding language resources, guidance is offered to elucidate meaningful language access policies that ensure equitable access to school health services. Supporting meaningful language access includes providing school nurses with qualified interpretation and translation services to care for those who do not speak, read, or write in English or have limitations with the English language. Additionally, local and state agencies may implement language access services requirements and enforce compliance with a language access plan to meet federal funding requirements.

Abstract

~

Abstract

~

Abstract

~

Abstract

The COVID-19 pandemic has exacerbated the difficulties nurses face, resulting in higher turnover rates and workforce shortages. This study investigated the relationships between nurses' moral distress, burnout, and turnover intention during the last stage of the COVID-19 pandemic. It also explored the coping strategies nurses use to mitigate moral distress. Utilizing a mixed-method approach, this study analyzed data from 307 nurses caring for patients with COVID-19 in acute care hospitals through an online survey conducted in November 2022. Our data analysis encompassed quantitative methods, including descriptive statistics and path analysis, using a generalized structural equation model. For the qualitative aspect, we examined open-ended responses from 246 nurses using inductive content analysis. The quantitative findings revealed that nurses' moral distress had a significant direct effect on turnover intention. In addition, burnout significantly mediated the relationship between moral distress and turnover intention. Qualitative analyses contextualized the relationships uncovered in the quantitative analyses. The qualitative analysis identified various positive and negative coping strategies. Positive strategies included a commitment to minimize COVID-19 transmission risks, adopting a holistic approach amidst the challenges posed by the pandemic, voicing concerns for patient safety, engaging in continuous learning, and prioritizing self-care. Conversely, negative strategies involved adopting avoidance behaviors stemming from feelings of powerlessness and adopting a passive approach to one's role. Notably, some participants shifted from positive to negative coping strategies because of institutional barriers and challenges. The findings underscore the importance for hospital administrators and nurse managers to acknowledge the impact of the pandemic-related challenges encountered by nurses and recognize the link among moral distress, burnout, and turnover intention. It highlights the essential role of organizational and managerial support in fostering effective coping strategies among nurses to address moral distress.

Abstract

Background: Health-related decision-making is a complex process given the variability of treatment options, conflicting treatment plans, time constraints and variable outcomes. This complexity may result in patients experiencing decisional regret following decision-making. Nonetheless, literature on decisional regret in the healthcare context indicates inconsistent characterization and operationalization of this concept. Aim(s): To conceptually define the phenomenon of decisional regret and synthesize the state of science on patients' experiences with decisional regret. Design: A concept analysis. Methods: Rodgers' evolutionary method guided the conceptualization of this review. An interdisciplinary literature search was conducted from 2003 until 2023 using five databases, PubMed, CINAHL, Embase, PsycINFO and Web of Science. The search informed how the concept manifested across health-related literature. We used PRISMA-ScR checklist to guide the reporting of this review. Results: Based on the analysis of 25 included articles, a conceptual definition of decisional regret was proposed. Three defining attributes underscored the negative cognitive-emotional nature of this concept, post-decisional experience relating to the decision-making process, treatment option and/or treatment outcome and an immediate or delayed occurrence. Antecedents preceding decisional regret comprised initial psychological or emotional status, sociodemographic determinants, impaired decision-making process, role regret, conflicting treatment plans and adverse treatment outcomes. Consequences of this concept included positive and negative outcomes influencing quality of life, health expectations, patient-provider relationship and healthcare experience appraisal. A conceptual model was developed to summarize the concept's characteristics. Conclusion: The current knowledge on decisional regret is expected to evolve with further exploration of this concept, particularly for the temporal dimension of regret experience. This review identified research, clinical and policy gaps informing our nursing recommendations for the concept's evolution. No Patient or Public Contribution: This concept analysis examines existing literature and does not require patient-related data collection. The methodological approach does not necessitate collaboration with the public.

Abstract

Hypertension and depression are increasingly common noncommunicable diseases in Ghana and worldwide, yet both are poorly controlled. We sought to understand how healthcare workers in rural Ghana conceptualize the interaction between hypertension and depression, and how care for these two conditions might best be integrated. We conducted a qualitative descriptive study involving in-depth interviews with 34 healthcare workers in the Kassena-Nankana districts of the Upper East Region of Ghana. We used conventional content analysis to systematically review interview transcripts, code the data content and analyze codes for salient themes. Respondents detailed three discrete conceptual models. Most emphasized depression as causing hypertension: through both emotional distress and unhealthy behavior. Others posited a bidirectional relationship, where cardiovascular morbidity worsened mood, or described a single set of underlying causes for both conditions. Nearly all proposed health interventions targeted their favored root cause of these disorders. In this representative rural Ghanaian community, healthcare workers widely agreed that cardiovascular disease and mental illness are physiologically linked and warrant an integrated care response, but held diverse views regarding precisely how and why. There was widespread support for a single primary care intervention to treat both conditions through counseling and medication.

Abstract

Electronic health record proficiency is critical for health professionals to deliver and document patient care. There is scarce research on this topic within undergraduate nursing student populations. The purpose of this study is to describe the psychometric evaluation of the Digital Literacy, Usability, and Acceptability of Technology Instrument for Healthcare. A cross-sectional pilot study for psychometric evaluation of the instrument was conducted using data collected through an emailed survey. Exploratory factor analysis, inter-item and adjusted item-total correlations, and Cronbach's α calculated subscale reliability. A total of 297 nursing students completed the survey. A seven-factor structure best fit the data: technology use - engagement, technology use - confidence, technology use - history, electronic health record - ease of use, electronic health record - comparability, and electronic health record - burden. Cronbach's α indicated good to very good internal consistency (α =.68 to.89). The instrument effectively measured digital literacy, acceptance, and usability of an electronic health record and may be implemented with good to very good reliability across varied healthcare simulation and training experiences.

Abstract

This chapter provides an overview of the key issues that contribute to language-discordant situations in healthcare. It uses the United States as a case exemplar of how recent policy changes are moving the healthcare industry toward improving clinical outcomes for people who experience structural barriers to language-appropriate healthcare. Recommendations for research, practice, and education are provided.