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This study aims to explore the experiences and challenges faced by rural nurses in Botswana who manage births outside the hospital environment, providing insights into the impact of these experiences on maternal and neonatal health outcomes.
A qualitative descriptive design was employed to gain a comprehensive understanding of the participants' perspectives and experiences.
Twenty-six registered nurses from four remote health districts in Botswana were selected using a purposive convenience sampling technique. Semi-structured interviews were conducted to gather in-depth data regarding their experiences managing childbirth in rural settings.
The analysis revealed that nurses face significant emotional and practical challenges, including feeling unprepared for emergencies, lack of access to resources, and high levels of stress associated with managing complications without specialized training. Many participants reported a strong commitment to their communities despite the hurdles, underscoring their vital roles in maternal healthcare.
The findings indicate a pressing need for enhanced training programs and support systems for rural nurses to better equip them for the complexities of childbirth management outside hospital settings. Addressing these gaps is essential to improve clinical outcomes for mothers and infants and to minimize the risks associated with unsupervised births.
This study highlights the crucial role rural nurses play in maternal health and stresses the need for targeted training and policy interventions. By strengthening the capacity of these healthcare providers, we can work toward reducing maternal and neonatal morbidity and mortality rates in Botswana and similar rural settings worldwide.
Many long-term care facilities in the United States face significant problems with nurse retention and turnover. These challenges are attributed, at least in part, to moral distress and a negative nurse practice environment.
The purpose of the study was divided into two parts: first, to investigate the relationships among nurse practice environment, moral distress, and intent to stay; second, to explore the potential mediating effect of the nurse practice environment on the intent to stay among those with high levels of moral distress.
This study was a descriptive, cross-sectional survey using targeted sampling.
A total of 215 participants completed the surveys. Participants were nationally representative of long-term care nurses by age, years of experience, employment status, and type of health setting.
This study was an online national survey of long-term care nurses' perceptions of their intent to stay, moral distress level (Moral Distress Questionnaire), and nurse practice environment (Direct Care Staff Survey). Structural equation modeling analysis explored intent to stay, moral distress, and the nurse practice environment among long-term care nurses.
The mean moral distress score was low, while the mean nurse practice environment and intent to stay scores were high. Moral distress had a significant, moderately negative association with the nurse practice environment (β = −0.41), while the nurse practice environment had a significant, moderately positive association with intent to stay (β = 0.46). The moral distress had a significant, moderately negative association with intent to stay (β = −0.20). The computed structural equation modeling suggested a partially mediated model (indirect effect = −0.19, p = 0.001).
Since the nurse practice environment partially mediates the relationship between moral distress and intent to stay, interventions to improve the nurse practice environment are crucial to alleviating moral distress and enhancing nurses' intent to stay in their jobs, organizations, and the nursing profession.
Our study demonstrated that the nurse practice environment mediates moral distress and intent to stay. Interventions to improve the nurse practice environment are crucial to alleviating moral distress and enhancing nurses' intent to stay in their jobs, organizations, and the nursing profession.
Facemasks are an important piece of personal protective equipment (PPE) to mitigate the spread of respiratory illnesses, but they can impede communication between patients and healthcare providers. The purpose of this scoping review is to identify effective communication practices while wearing facemasks.
Scoping review using a systematic search of articles from the PubMed, CINAHL, and Embase databases.
The PEO (population, exposure, outcome) methodology was selected for this systematic scoping review. The population of interest (P) includes humans of all ages (children, adults, and older adults); the exposure of interest (E) is PPE that covers the mouth (i.e., facemasks); and the outcome of interest (O) is successful or unsuccessful communication practices. The Johns Hopkins Evidence-Based Practice for Nurses and Healthcare Professionals appraisal guidelines were used to determine the level and quality of the research.
Thirty-nine articles met the inclusion criteria. Seventeen of these were high- or good-quality research studies, and the remaining 22 were non-research articles included with separate analysis as part of the scoping review. The 17 articles encompassed 2656 participants. The highest quality evidence indicated that standard surgical masks have the least impact on speech perception compared to other non-transparent mask types, and that recognizing emotions is less accurate with facemasks, necessitating compensatory actions (i.e., reducing extraneous noise, using a microphone to amplify voice, and employing clear speech). Evidence was contradictory regarding the use of transparent masks. Evidence was of limited quality for other non-verbal and verbal communication strategies.
Awareness of communication challenges is crucial when wearing facemasks. More high-quality studies are needed to evaluate communication techniques when speakers are wearing facemasks. Basic strategies such as selecting an appropriate mask type, reducing extraneous noise, using microphones, verbalizing emotions, and employing clear speech appear to be beneficial.
The findings of this scoping review highlight the importance of considering communication challenges while wearing facemasks in the healthcare settings. The review suggests that selecting an appropriate mask type, reducing extraneous noise, verbalizing emotions, and employing clear speech are some strategies that may be effective in mitigating the impact of facemasks on communication between patients and healthcare providers.
The Clinical Nurse Leader (CNL) care model is a different way of organizing frontline nursing care delivery in contrast to the traditional “staff nurse” model and is increasingly being adopted by health systems across the United States and abroad. However, variability in implementation and outcomes has been noted across health settings.
A recently validated CNL Practice Model provides an explanatory pathway for CNL model integration into practice. The purpose of this study was to identify and compare patterns of empirical correspondence to the CNL Practice Model and predict their influence on implementation success.
We conducted a secondary analysis of a 2015 national-level study with clinicians and administrators involved with CNL initiatives in their health system. A psychometrically validated CNL Practice Survey was used to collect data measuring the presence (0%–100%) of the five domains of the CNL Practice Model (organizational readiness, CNL structuring, CNL practices, outcomes, and value) and one measure of CNL implementation success. We modeled the complex hierarchical structure of the data using a Bayesian multilevel regression mixed modeling approach. A zero–one-inflated beta distribution, a mixture of Bernoulli distributions for the minimum and maximum responses and a beta distribution for the responses between the minimum and maximum, was used to fit success ratings in the model.
A total of 920 participants responded, 540 (59%) provided success scores. The model captured ratings skewed toward upper bound, while also adequately modeling data between the minimum and maximum values. The Bayesian model converged and gave estimates for all hierarchical parameters, which would likely have failed to converge in a pure maximum likelihood framework. The variability around success score across CNL Practice Model element ratings was greatest at the component level, 0.29 (0.18–0.48), compared to either the domain level, 0.16 (0.01–0.54), or the item level, 0.09 (0.01–0.17). The components most predictive of implementation success were (a) consensus CNL model can close gaps, (b) organization level implementation strategy, and (c) alignment of empirical CNL microsystem level structuring to the model's conceptualization.
Findings provide further empirical evidence to support the explanatory pathway proposed by the CNL Practice Model and identified specific organizational readiness and CNL workflow structures that are critical antecedents predictive of CNL practice manifestation and production of expected outcomes. Findings indicate actionable implementation evidence that can be successfully adopted across real-world healthcare settings to achieve safer and higher quality patient care.
CNL integrated care delivery is a frontline nursing care model that is being increasingly adopted by health systems across the United States and abroad. However, variability in CNL implementation and outcomes has been noted across health settings, limiting its evidence base. Findings of this study contribute a better understanding about the variability of CNL practice and outcomes found in the literature and contribute empirical and conceptual clarity about the relationships between modes of CNL implementation and successful adoption in healthcare settings.
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