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Fulltext Moderating Effect of Demographic Characteristics on the Relationship between Work Life Quality and Turnover Intention: A Cross-Sectional Study

Al Zamel LG, Abdullah KL, Chan CM, Piaw CY

Florence Nightingale J Nurs, 2021 Jun;29(2):203-211.
PMID: 34263239 DOI: 10.5152/FNJN.2021.20069

AIM: This study aimed to investigate the moderating effect of demographic variables (sex, age, marital status, years of experience, level of education, and income) on the relationship between quality of work life and turnover intention in Malaysian nurses.
METHOD: A descriptive, and cross-sectional design using Brook's quality of nursing work life questionnaire (self-reported) and Porter's anticipated turnover scale was implemented to collect data from 430 randomly selected Malaysian nurses in a teaching hospital's medical, surgical, and special units. The data were analyzed using the structural equation model smart partial least squares and Statistical Package for Social Sciences software services.
RESULTS: The nurses had a moderate level of quality of work life and high level of turnover intention. Sex, number of children, and work wards/units had a moderating effect on turnover intention, after its interaction with quality of work life (p < .05).
CONCLUSION: The study findings highlighted the factors having a moderating effect on turnover intention after its interaction with quality of work life . This knowledge is beneficial for providing guidance to nursing leaders or healthcare departments in hospitals to improve nurses' quality of work life and decrease their turnover intention. Addressing and understanding the demands and needs of nurses in the work environment and the family structure within a quality of work life could affect nurse's retention, leading to a decrease in their turnover intention.
Fulltext Nurses' Perception and Satisfaction Toward Electronic Medical Record System

Ramoo V, Kamaruddin A, Wan Nawawi WNF, Che CC, Kavitha R

Florence Nightingale J Nurs, 2023 Feb;31(1):2-10.
PMID: 36751711 DOI: 10.5152/FNJN.2022.22061

AIM: This study aims to assess the perception and satisfaction of nurses toward the electronic medical record system in a teaching hospital.
METHOD: A cross-sectional study was conducted among 350 nurses in a teaching hospital via a self-administered questionnaire between May to October 2019. Descriptive analysis, independent t-test, analysis of variance, and hierarchical multiple regression were used to analyze the data using Statistical Package for Social Sciences software version 25. In addition, a The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) was used as guide in reporting the results of this study.
RESULTS: Almost all the nurses (98%, n = 343) had a positive perception toward the electronic medical record system, though their perceptions significantly differ across work units, computer or laptop ownership, and daily time spent on the system (all p < .05). Nurses who had received training reported better satisfaction with the system.
CONCLUSION: Among the issues highlighted by the participants that warrant attention were system development and connectivity. This study, therefore, emphasizes the involvement of nursing personnel in system development to ensure an appropriate approach for nursing care delivery.
Nurses' Burnout, Resilience, and Its Associated Factors in Sichuan, China, During the Peak of Coronavirus Disease 2019 Infection

Gao F, Chui PL, Che CC, Mao XR

Florence Nightingale J Nurs, 2023 Oct;31(3):152-159.
PMID: 37847013 DOI: 10.5152/FNJN.2023.23023

AIM: To investigate the level of burnout and resilience, and the associated factors when the coronavirus disease 2019 infection hit a peak in the community in Sichuan, China.
METHOD: This was a descriptive cross-sectional design study. Data were collected from 25 to 31 December 2022, at six hospitals in Sichuan province. Using convenience sampling, a total of 717 participants were recruited, using the revised version of the Maslach Burnout InventoryGeneral Survey, and the Resilience Assessment Scale for healthcare workers.
RESULTS: More than half of nurses reported a moderate level of emotional exhaustion (66.50%, n = 484), cynicism (68.20%, n = 489), and personal accomplishment (68.76%, n = 493); nearly one-third and one-fourth of nurses experienced a high level of emotional exhaustion (27.48%, n = 197) and cynicism (20.78%, n = 149), respectively. In resilience, the highest scoring dimension was interpersonal connectedness, followed by decisional coping, flexible self-adaptation, and rational thinking. Satisfaction with work income, patient-nurse conflict, frequency of overtime work, age, and marital status were significant factors influencing burnout among nurses (p < .05).
CONCLUSION: The findings of the study enlighten nursing administrators on the level of burnout and resilience and associated factors among nurses during the peak of coronavirus disease 2019 infection in China. This would be of immense help in planning a welfare program to support the nurses.
Prevalence, Knowledge and Associated Factors Related to Computer Vision Syndrome among Undergraduate Students

Yee NL, Binti Muhammad Riduan Wong LFW, Stewart MA, Nor Haty Binti H, Singh GKJ, Bin Mohamad Anuar MF

Florence Nightingale J Nurs, 2024 Jun 28;32(2):118-125.
PMID: 39545780 DOI: 10.5152/FNJN.2024.23037

Computer vision syndrome has been an issue of concern among students who use digital devices continuously. This study aimed to determine the prevalence and level of knowledge on computer vision syndrome and its relationship with associated factors among undergraduate students in a public university in Malaysia. This study was conducted between 26 May and 23 June 2022 at National University of Malaysia. A cross-sectional study among 208 undergraduate students from a public university was conducted. A self-reported questionnaire via Google Form was used to capture the data among the undergraduates. The prevalence and associated factors of computer vision syndrome were each evaluated using the validated Computer Vision Syndrome Questionnaire and Computer Vision Syndrome Survey Form 3 questionnaires, respectively, while knowledge of computer vision syndrome was assessed using a validated questionnaire from a previous study. All the data were analyzed using the Statistical Package for Social Sciences version 26.0 software (IBM Corp.; Armonk, NY, USA). The prevalence of computer vision syndrome among undergraduates was 63.0% (n=131), with 91.9% having poor knowledge of computer vision syndrome. Significant associations toward computer vision syndrome were found among undergraduates who have refractive errors/wearing glass (69.3%), screen edge at or above horizontal eye level (79.4%), uncomfortable sitting postures (79.4%) and close eye-screen distance (82.0%). In-depth analysis showed that having refractive errors/wearing glasses (aOR: 1.93; CI: 1.05, 3.57), uncomfortable sitting postures (aOR: 2.01; CI: 1.08, 3.74), and close eye-screen distance (aOR: 2.81; CI: 1.31, 6.05) had odd chance to develop computer vision syndrome. The study's findings denoted that digital device users should have more knowledge of computer vision syndrome and practice the preventable measures, such as proper viewing distance and angle, upright sitting postures, appropriate screen and surrounding illuminance, as well as regular eye check-ups.