Aim: A decision analysis model was constructed to explore the key factors affecting the job satisfaction of hospital nurses and to analyze the key satisfaction gaps in the case hospital.
Background: In China, medical institutions are facing greater pressure and challenges in the normalization of epidemic prevention and control. Nurses play a critical role in the delivery of medical care services. Past studies have shown that improving job satisfaction among hospital nurses is important for both reducing nurse turnover and improving the quality of care.
Methods: McCloskey/Mueller satisfaction scale (MMSS-31) was used to survey 25 nursing specialists in a case hospital in Zhejiang. Then, the Consistent Fuzzy Preference Relation (CFPR) method was used to analyze the degree of importance of dimensions and corresponding sub-criteria. Finally, the importance-performance analysis method was applied to identify critical satisfaction gaps for the case hospital.
Results: In terms of local weight for dimensions, "Control/Responsibility ( )" "Praise/Recognition ( )" "Extrinsic Rewards ( )" are the top three key factors for nurses' work environment satisfaction in the case of a hospital. In addition, the sub-criteria "Salary ( )", "Benefits ( )", "Child care ( )", "Recognition-peers ( )", "Encouragement/feedback ( )", and "Decision making ( )" are the key factors for improving clinical nursing satisfaction in the case hospital.
Conclusion: The issues that nurses care about but for which they have not attained expectations mainly involved extrinsic rewards, recognition/encouragement and control over their working process. The findings of this study could offer an academic reference for management and remind them to consider the above factors in exploring future reform, further improving nurses' job satisfaction and motivating them to provide better nursing services.
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http://dx.doi.org/10.1016/j.heliyon.2023.e14721 | DOI Listing |
Syst Rev
January 2025
Weill Cornell Medicine, Department of Medicine, 525 E 68th St, New York, NY, 10065, USA.
Background: Extreme heat events (EHEs), driven by anthropogenic climate change, exacerbate the risk of cardiovascular disease (CVD), although the underlying mechanisms are unclear. A possible mechanism leading to heat-related CVD is disturbances in sleep health, which can increase the risk of hypertension, and is associated with ideal cardiovascular health. Thus, our objective was to systematically review the peer-reviewed literature that describes the relationship between EHEs, sleep health, and cardiovascular measures and outcomes and narratively describe methodologies, evidence, and gaps in this area in order to develop a future research agenda linking sleep health, EHEs, and CVD.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Department of Thoracic Surgery, Guizhou Provincial People's Hospital, No. 83, Zhongshan East Road, Guiyang, Guizhou, 550000, China.
Background: Large language models (LLMs) are increasingly utilized in healthcare settings. Postoperative pathology reports, which are essential for diagnosing and determining treatment strategies for surgical patients, frequently include complex data that can be challenging for patients to comprehend. This complexity can adversely affect the quality of communication between doctors and patients about their diagnosis and treatment options, potentially impacting patient outcomes such as understanding of their condition, treatment adherence, and overall satisfaction.
View Article and Find Full Text PDFNurse Educ Pract
January 2025
ICU Follow-up Care Research Lab, University of West Attica, Greece; School of Nursing, Midwifery and Health Systems, University College Dublin, Ireland.
Objectives: This scoping review aimed to identify existing literature on the application of augmented reality (AR) in the intensive care unit (ICU) and analyse its current state of play regarding hands-on skills.
Background: Active learner engagement can greatly enrich educational outcomes. With the rise of immersive and interactive technologies, AR is progressively integrated into nursing education to enhance this aspect.
Health Sci Rep
January 2025
Department of Medical-Surgical Nursing, School of Nursing and Midwifery Guilan University of Medical Sciences Rasht Iran.
Background: This study aimed to evaluate the service quality in Iranian hospitals from patients' perspectives based on the SERVQUAL model.
Materials And Methods: A thorough exploration of online electronic databases, including Scopus, PubMed, Web of Science, IranMedex, and the Scientific Information Database (SID), was undertaken using keywords extracted from Medical Subject Headings such as "Quality of Health Care," "Hospital," and "Patients" spanning from the earliest available records up to August 11, 2023.
Results: In the context of 25 cross-sectional studies encompassing a collective participant pool of 8021 hospitalized patients in Iranian medical facilities, an assessment of patients' perspectives on the quality of hospital services revealed a mean perception score of 3.
Acta Med Philipp
December 2024
Research Center for Culture and Social Issues, Samar State University, Catbalogan City, Samar, Philippines.
Objectives: This study sought to investigate citizens' awareness, availment, satisfaction, and perceived need for action with health services offered by a rural municipality in Samar, Philippines.
Methods: This study utilized an explanatory-sequential research design, involving 150 participants selected through the Kish Grid Method via a multi-stage sampling approach within the community. The Citizen Satisfaction Index System was employed to assess the levels of awareness, utilization, and satisfaction with health services in the municipality.
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