Morales García, Wilter Charming
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Morales García, Wilter Charming
Correo electrónico
wiltermorales@upeu.edu.pe
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Item type:Publicación, Predictors of Intention to Vaccinate Against COVID-19 in a Peruvian Sample(2022-01-01); ; ;Jacksaint Saintila; Lili Fernández-MolochoBackground: Vaccination against COVID-19 is considered one of the most effective strategies to control this global public health crisis. However, vaccine hesitancy is one of the main threats to mitigating the pandemic. The present study aimed to identify predictors of intention to vaccinate against COVID-19 in 3 geographical regions of Peru. Methods: An online analytical cross-sectional study was conducted. Participants were selected by non-probability convenience sampling and size was estimated using the online statistical calculator proposed by Soper. A total of 529 Peruvian nationals completed the questionnaires. Student’s t-test and Fisher’s F test (ANOVA) were used. A significance level of .05 was considered. Results: Face-to-face work (β = 2.037, P < .001), fear of COVID-19 (β = .461, P < .001), vaccine confidence (β = 2.881, P < .001) and trust in health care institutions (β = .432, P < .01) predict a higher intention to receive the vaccine. However, the variables perception of a worldwide conspiracy (β = −1.900, P < .001), and practice Protestant religion (β = −2.274, P < .001) predict negatively their acceptance. Conclusion: Several positive predictors of intention to vaccinate against COVID-19 have been identified. However, having a perception of a global conspiracy and practice Protestant religion are shown to be risk variables for vaccine acceptance. Therefore, there is a need to develop strategies to ensure high uptake and success of COVID-19 vaccination campaigns.Citas (OpenAlex): 29 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Work Stressors and Their Relationship with Depression, Anxiety, Stress, and Job Satisfaction Among Nurses in Ecuador, Peru, and Paraguay(2023-12-30) ;A. Solis ;Yessenia Mercedes Cisneros Chávez ;Isabel Genotti Sanabria; BackgroundNurses working in hospital environments face a high workload and constant exposure to stressful situations, making them vulnerable to psychological disorders such as anxiety, depression, and stress, as well as reduced job satisfaction. Previous studies have demonstrated that work stressors can deteriorate psychological well-being and lower the quality of patient care, impacting both patient safety and nurse retention. However, there is limited research addressing this issue in Ecuador, Peru, and Paraguay, highlighting the need to investigate how work stressors influence nurses' mental health and job satisfaction in these countries.ObjectiveTo analyze the relationship between work stressors and levels of anxiety, depression, stress, and job satisfaction among nurses in Ecuador, Peru, and Paraguay.MethodsA cross-sectional study with an explanatory design was conducted using structural equation modeling. A total of 300 nurses from public hospitals in Lima (Peru), Guayaquil (Ecuador), and Paraguay participated in the study. The Depression, Anxiety, and Stress Scale (DASS-21) was used to assess mental health, the SL-SPC scale measured job satisfaction, and the Nursing Stress Scale identified work-related stressors.ResultsThe structural model demonstrated an acceptable fit (CFI = 0.914, RMSEA = 0.049, SRMR = 0.078), confirming the hypotheses: work stressors showed a positive relationship with stress (β = 0.53, p < 0.01), anxiety (β = 0.49, p < 0.01), and depression (β = 0.49, p < 0.01), and a negative relationship with job satisfaction (β = -0.27, p < 0.01).ConclusionsThe findings confirm that work stressors have a significant impact on nurses' mental health, increasing anxiety, stress, and depression. Additionally, these stressors were found to reduce job satisfaction, although to a lesser extent. The implementation of stress management strategies and workplace policies aimed at promoting nurses' well-being is recommended, particularly in hospital settings with limited resources.Citas (OpenAlex): 0metric-badges.view 1 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Validation of a Job Satisfaction Scale among Health Workers(2024-03-10) ;Allison Ramirez-Cruz ;Caleb Sucapuca; ; Liset Z. Sairitupa-SanchezBackground: job satisfaction is a key focus in organizational behavior studies, particularly relevant in the healthcare sector and nursing. It influences patient care quality and staff retention and is shaped by the work environment, working conditions, managerial support, and interactions among colleagues. However, there is limited research specifically addressing the job satisfaction of nurses in Peru, a critical area in health administration. Objective: this study aimed to evaluate the metric properties of the S20/23 job satisfaction scale among Peruvian nurses. Methods: an instrumental research design was employed using a non-probabilistic sample of 325 nurses from two hospitals in Lima, Peru. The Chilean version of the S20/23 scale was used, comprising four dimensions of job satisfaction (relationship with supervision, physical work space, professional fulfillment, and training and decision-making opportunities). Data analysis included descriptive statistics, confirmatory factor analysis (CFA), and reliability tests using Cronbach's Alpha and McDonald's Omega. Results: the CFA revealed a satisfactory fit for the four-dimensional structure with 18 items (χ2 = 387,290, df = 124, p < ,001, CFI = 0,92, TLI = 0,90, RMSEA = 0,08, SRMR = 0,05). The scale also demonstrated high reliability for each dimension: relationship with supervision (α = 0,90, ꞷ = 0,87), physical work space (α, ꞷ = 0,92), professional fulfillment (α, ꞷ = 0,88), and training and decision-making opportunities (α = 0,88, ꞷ = 0,84), with acceptable factor loadings (>0,70). Conclusions: the adapted 18-item S20/23 scale is a valid and reliable tool for assessing job satisfaction among Peruvian nurses. The study highlights the importance of specific job satisfaction dimensions, such as relationships with supervisors and professional development opportunities, in the Peruvian nursing contextCitas (OpenAlex): 1metric-badges.view 12 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Influence of Self-Efficacy in the Use of Artificial Intelligence (AI) and Anxiety Toward AI Use on AI Dependence Among Peruvian University Students(2025-01-12); ;Liset Z. Sairitupa-Sanchez ;Alcides Flores Paredes ;Jai Pascual-MariñoBackground: The advancement of artificial intelligence (AI) in education has transformed the way students interact with technological tools, creating new challenges related to self-efficacy, anxiety, and AI dependence. Self-efficacy refers to one's confidence in their ability to use AI, while AI-related anxiety pertains to the fear or concern when interacting with these systems. These variables can influence technological dependence, affecting academic performance and emotional well-being. Objective: This study aims to examine the influence of self-efficacy in AI use and anxiety toward AI on AI dependence among Peruvian university students. Methods: A descriptive cross-sectional study was conducted with 528 Peruvian university students aged 18 to 37 years (M = 19.00, SD = 3.84). Scales were used to measure AI self-efficacy, anxiety toward AI, and AI dependence. Correlation and multiple regression analyses were applied to identify predictors of technological dependence. Results: The results showed that AI self-efficacy was positively correlated with AI anxiety (r = 0.43, p < .01) and AI dependence (r = 0.61, p < .01). Anxiety also significantly correlated with AI dependence (r = 0.71, p < .01). Multiple regression analysis revealed that both AI anxiety (β = 1.131, p < .001) and AI self-efficacy (β = 0.610, p < .001) predicted AI dependence. Additionally, business administration students exhibited greater dependence compared to students from other fields (β = 1.025, p < .05). Conclusions: Students with higher self-efficacy in AI use tend to utilize AI more frequently but also experience greater anxiety and dependence on AI. Educational interventions should focus on reducing AI-related anxiety to prevent excessive dependence, especially among students.Citas (OpenAlex): 11metric-badges.view 5 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Adaptation and validation of the financial stress scale in social conflict contexts: a study conducted with small and medium-sized Peruvian entrepreneurs(2023-12-14) ;Madona Tito-Betancur ;Mariné Huayta-Meza; ; Óscar Mamani-BenitoIntroduction Social conflicts have repercussions on the mental health of the economically active population. Objective To adapt and validate the Financial Stress Scale in the context of social conflicts (ESECPS). Method An instrumental study involving 2,242 owners of small and medium enterprises (50.9% women), aged between 18 and 74 years old, selected through a non-probabilistic purposive sampling. The participants were recruited across three regions of Peru during periods of protests and strikes against the incumbent Peruvian government. The instrument for adaptation was the financial stress scale EFEmp-Cov19, created in the context of the COVID-19 pandemic’s impact. Results All items proved to be clear, relevant, and representative (V &gt; 0.70). Exploratory Factor Analysis (EFA) revealed the existence of one underlying factor across the 11 items (KMO = 0.962, Bartlett = 5434.3; df = 55; p &lt; 0.001). However, for Confirmatory Factor Analysis (CFA), items 4 and 11 were removed, resulting in support for a unidimensional model with 9 items ( χ 2 = 262.73, df = 23, p &lt; 0.001; RMR = 0.022; TLI = 0.972; CFI = 0.980; and RMSEA = 0.072). Regarding reliability, a very high value was found ( ω = 0.92). Conclusion The ESECPS demonstrates adequate psychometric properties, making it a suitable measure to assess financial stress among Peruvian entrepreneurs facing economic instability and financial threats in the context of social conflicts.Citas (OpenAlex): 0metric-badges.view 3 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Spiritual care for patients with COVID-19 in intensive care: implications for nursing care, a qualitative study.(2023-09-05) ;María José García Cabanillas ;Delia Luz León-Castro ;Yolanda Rodríguez Núñez ;Mónica Elisa Meneses-La-RivaBase de datos de estudio cualitativo.Citas (OpenAlex): 0metric-badges.view 2 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Self-Efficacy and Emotional Intelligence as Predictors of Work Engagement in Peruvian Health Personnel(2024-01-01); ;Silvia Ccalachua; ; Background: the crucial role of nurses within the global healthcare system is undeniable, especially considering the high demand and significant stress that characterizes their professional field. From an administrative and human resource management perspective in healthcare, the importance of emotional well-being, along with emotional intelligence and self-efficacy, has emerged as a primary focus of interest in recent research, particularly highlighted in the Peruvian nursing scenario. Objective: this study aimed to understand the relationship between self-efficacy, emotional intelligence, and work engagement among Peruvian nurses, and how these factors might influence the quality of care provided and staff retention in the healthcare sector. Methods: a quantitative analysis was conducted, based on structured surveys that measured levels of self-efficacy, emotional intelligence, and work engagement. The participants were registered nurses in Peru, and the sample was stratified according to different regions and levels of experience. Results: the findings confirmed a positive relationship between self-efficacy and work engagement, corroborating previous research. Furthermore, the positive association between emotional intelligence and work engagement in this professional group was validated. It was evidenced that nurses with higher emotional intelligence and self-efficacy tend to have a greater work engagement, positively affecting the quality of care and their retention in the healthcare sector. Conclusions: emotional intelligence and self-efficacy are fundamental for the work engagement of Peruvian nurses. These factors not only impact the academic realm but also have essential practical significance in the healthcare sector. The promotion and training in these areas could be crucial to ensure quality care and the emotional well-being of nursing staffCitas (OpenAlex): 5metric-badges.view 3 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Bacterial meningitis in adults: a narrative review(2025-02-18) ;Azucena Armas-Tarrillo ;Erliz J. Cieza-Cruz ;Mauricio A. Mancco-Taco ;Luciana M. Orellana-HidalgoAlker Vallejos-EstelaObjective: To identify the etiology, risk factors, treatment, and associated sequelae of bacterial meningitis in adults. Design: A literature review based on a narrative synthesis. Data Sources: Scopus, Science Direct, Web of Science, Redalyc, Google Scholar, PubMed, and Scielo. Data Selection: Documents were selected and analyzed through a critical literature review, considering inclusion and exclusion criteria. Results: A total of 10 articles were analyzed, including 3 statistical analyses, 3 narrative reviews, 2 systematic reviews, and 2 clinical trials. The study populations included various categories: 6 articles focused on adults, 1 on males, 1 on individuals aged 25 to 50 years, and 2 involving animal experiments. Studies were conducted in various countries, including 2 in Africa, 2 in the U.S., 2 in Germany, and 1 each in Northern Ghana, Sweden, South Korea, and Egypt, contributing unique perspectives to the research. The clinical condition was characterized as follows: 3 articles highlighted the most frequent symptoms of bacterial meningitis, 4 focused on sequelae, 2 reported high fatality rates, and 1 examined early intensive care (EIC) and antibiotic recovery. Regarding socioeconomic status, 4 articles reported cases from low-income countries, 1 from high income countries, and 1 from a middle-income country. Conclusion: Bacterial meningitis represents a severe public health threat, particularly in vulnerable populations, such as older adults and those with underlying conditions. Despite the effectiveness of treatments like dexamethasone and antibiotics, the high mortality and morbidity rates emphasize the importance of early and accurate diagnosis.Citas (OpenAlex): 0metric-badges.view 2 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Development and validation of a scale for dependence on artificial intelligence in university students(2024-03-12); ;Liset Z. Sairitupa-Sanchez ;Sandra B. Morales-GarcíaBackground Artificial Intelligence (AI) has permeated various aspects of daily life, including education, specifically within higher education settings. These AI technologies have transformed pedagogy and learning, enabling a more personalized approach. However, ethical and practical concerns have also emerged, including the potential decline in cognitive skills and student motivation due to excessive reliance on AI. Objective To develop and validate a Scale for Dependence on Artificial Intelligence (DIA). Methods An Exploratory Factor Analysis (EFA) was used to identify the underlying structure of the DIA scale, followed by a Confirmatory Factor Analysis (CFA) to assess and confirm this structure. In addition, the scale’s invariance based on participants’ gender was evaluated. Results A total of 528 university students aged between 18 and 37 years ( M = 20.31, SD = 3.8) participated. The EFA revealed a unifactorial structure for the scale, which was subsequently confirmed by the CFA. Invariance analyses showed that the scale is applicable and consistent for both men and women. Conclusion The DAI scale emerges as a robust and reliable tool for measuring university students’ dependence on AI. Its gender invariance makes it applicable in diverse population studies. In the age of digitalization, it is essential to understand the dynamics between humans and AI to navigate wisely and ensure a beneficial coexistence.Citas (OpenAlex): 134metric-badges.view 6 - Algunas métricas están bloqueadas por suconfiguración de consentimiento
Item type:Publicación, Properties of a scale of concern for COVID-19: Exploratory analysis in a Peruvian sample(2020-11-21) ;Percy G. Ruiz Mamani; ;Michaël WhiteMayte S. Marquez-RuizCitas (OpenAlex): 7metric-badges.view 3