Nursing Practice Today

Perceptions of nursing graduates regarding artificial intelligence interviews: A Q-methodology study

So Young Park — 2024-09-25

Background & Aim: The integration of Artificial Intelligence (AI) in recruitment processes is increasingly prevalent, particularly within medical institutions. AI interviews are becoming a common practice, and their impact on the perceptions and experiences of candidates is a subject of growing interest. Nursing graduates, who are often at the forefront of medical practice, frequently encounter these AI-driven evaluations during their job searches. This study attempted to examine the perception of AI interviews among nursing graduates who have experienced AI interviews in medical institutions.
Methods & Materials: The Q-methodology was applied by selecting 34 Q samples from the 102 concourses extracted through a literature review and in-depth clinical interviews with nursing graduates. The P sample consisted of 35 nursing graduates who had experienced AI interviews. Data were collected using the PQ Method's Q-methodology program, measured on a 9-point scale frame, and Q samples were normally distributed.
Results: The study identified four factors of perception: Proactive AI Interview Preparation, Negative Perception of AI Interviews, Positive Perception of AI Interviews, and Critical Acceptance of AI Interviews.
Conclusion: In conclusion, perceptions of AI interviews can be categorized into four main types, highlighting both the positive and negative aspects of this technology. The positive aspects include efficiency, fairness, and convenience, while the negative aspects involve concerns about privacy, bias, and the lack of human elements. To design AI interview programs tailored to specific job roles, it is crucial to balance these pros and cons. Additionally, reducing the burden of AI interviews through informative resources and pre-training programs is essential. For successful implementation, ongoing improvements, transparency, and a balanced integration of human judgment are necessary.

Essential public health competencies in nursing during the COVID-19 pandemic: A Delphi study

Consuelo Burbano López — 2024-09-25

Background & Aim: Nursing practice, characterized by its multifaceted nature, encompasses diverse settings and situations in public health, making it difficult to clearly define the role of nurses in this setting. The study aimed to determine the applicability and relevance of the Regional Core Competency Framework for Public Health in nursing practice during the COVID-19 pandemic.
Methods & Materials: Study based on the Delphi methodology, a structured approach to the systematic collectión of expert opinions, to obtain group agreements. Twenty-one nurses working in public health areas during the pandemic participated.
Results: The competencies most applied by the nurses were in the domain of health situation analysis and surveillance and risk and damage control. 95% of the nurses were involved in care actions to prevent contagion; 71% analyzed social determinants of health, 100% were involved in the domain of policies, planning, regulation, and control, and 86% in the domain of health promotion. 89% made decisions to favor access to preventive and health care services. 78% valued social participation actions and 76% implemented immediate responses to COVID-19.
Conclusion: The main public health competencies used by nursing for dealing with the COVID-19 pandemic are the management of educational processes, health promotion, primary health care, analysis of social determinants, management of health policies, information analysis, and management of immediate responses to challenges generated by COVID-19.

Readiness for hospital discharge on people after hip replacement surgery in Vietnam: A cross-sectional study

Huu Phuoc Nguyen — 2024-09-25

Background & Aim: Readiness for hospital discharge is closely linked to post-operative complications, readmission rates, and the post-discharge health status of patients after hip replacement surgery. This study aimed to assess discharge readiness and identify the factors that predict it in patients undergoing hip replacement surgery.
Methods & Materials: This cross-sectional descriptive study included 112 patients who had undergone hip replacement surgery at Hospital X in Middle Vietnam. Participants were selected using a convenience sampling method, and data were collected within 4 hours before hospital discharge. The Readiness for Discharge Scale, developed by Weiss et al. was used to measure discharge readiness. Data analysis was conducted using SPSS 20.0 statistical software.
Results: The average discharge readiness score was 6.06± 2.10, indicating a low discharge readiness level. Multivariable linear regression analysis revealed that age, living conditions, planned admission, previous admission for the same diagnosis, and length of hospital stay significantly predicted 78.5% of the variance in discharge readiness (F= 77.626, p< 0.001). Among these factors, the strongest predictor was previous admission for the same diagnosis (β= 0.341, p< 0.001), followed by planned admission (β= 0.324, p< 0.001).
Conclusion: The findings indicate that patients' readiness for discharge after hip replacement surgery remains low, with various factors influencing their readiness. Nurses caring for these patients should consider these factors to improve discharge readiness and patient outcomes.

Sleep quality and associated factors in older outpatients with hypertension in Vietnam: A cross-sectional study

Le Thi Hong Tham — 2024-09-25

Background & Aim: Sleep plays a crucial role in controlling blood pressure. Older adults commonly suffer from poor sleep quality which results in several negative health outcomes, such as cognitive impairment, depression, and increased risk of falling. However, limited research exists on sleep quality in older Vietnamese adults. This study aimed to investigate sleep quality and its associated factors in older adults with hypertension in Central Vietnam.
Methods & Materials: A cross-sectional study was conducted at a tertiary hospital in Central Vietnam with 235 outpatients who were aged 60 years or older, diagnosed with hypertension, and without cognitive impairment. The Pittsburgh Sleep Quality Index was utilized to assess the participants' sleep quality. Multiple binary logistic regression was computed to identify factors associated with sleep quality with a P value less than 0.05.
Results: The mean sleep quality score was 8.2 (±3.9), with 71.9% of participants reporting poor sleep quality. Participants with a high school education or less were more likely to report poor sleep quality than those with higher education (OR= 1.91; 95% CI: 1.05 - 3.46; p= 0.034). Additionally, the presence of musculoskeletal disease increased the risk of poor sleep quality (OR= 2.26; 95% CI: 1.04 - 4.87; p= 0.038).
Conclusion: The majority of participants suffered from poor sleep quality, which was strongly associated with educational level and the presence of musculoskeletal diseases. Strategies for early detection, prevention, and treatment of poor sleep quality are essential for improving health outcomes in this population.

Cross-cultural and psychometric validation of the Fraboni scale of ageism in Peruvian nursing students

Jack Roberto Silva Fhon — 2024-09-25

Background & Aim: The elderly population has increased in the last decades and they are often discriminated against in society due to their age. This study aimed to perform the cross-cultural and psychometric validation of the Fraboni Scale of Ageism in Peruvian nursing students.
Methods & Materials: This is a cross-sectional methodological study, carried out in four universities in Peru in which 959 nursing students participated. For the adaptation process, the forward-backward method of the original English version into Spanish was used. For the content analysis, the study was carried out with the participation of specialist judges, while confirmatory factor analysis was used for the internal structure of the construct as invariance of measurement. Reliability was estimated by internal consistency for categorical items.
Results: The total content validity estimated with CVI was 0.97. The internal structure of the construct was found to be appropriate for the respecified 20-item model (CFI and TLI=0.94, RMSEA=0.07, and SRMR=0.05). The 20-item bi-factor model presented excellent fit indices (CFI=0.96 and TLI=0.95, RMSEA=0.06 and SRMR=0.04), being the best model for construct validity. Measurement invariance by sex was confirmed for all four models (configural, metric, strong, and strict). The three-dimensional model (ω=0.93) as well as the bi-factor model (ωH=0.88) showed high reliability for the scale scores.
Conclusion: This study demonstrates that the 20-item Peruvian version of the Fraboni Scale of Ageism shows validity and reliability for its scores. In addition, the scale score is invariant by sex.