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Showing 2 results for Khatirnamani
F Kouchak, A* Heidari , M Fazlekhoda, Z Khatirnamani ,
Volume 14, Issue 1 (spring 2023)
Abstract
Background & objectives: Information on the baseline profile of patients with Covid-19 and ICU-related risk factors and in-hospital mortality is still limited. This study aimed to investigate the epidemiological characteristics of patients with COVID-19 admitted to the ICU of Golestan medical centers from March to September 2020.
Methods: This study analyzed data from patients with COVID-19 who were hospitalized in the ICU of medical centers in Golestan province from March to September 2020. The study included information from all 664 patients. The software utilized was SPSS24.
Results: In a study of 664 patients, 547 (82.4%) died, while only 56 (8.4%) recovered. The patient's average age was 59.73 years with a standard deviation of 21.87 years, and 51.4% were male. The most common underlying disease was cardiovascular disease (10.7%). The study showed that age (p<0.001), blood urea (p<0.001), and having at least one underlying disease were significantly associated with the patient's outcomes, including death (p= 0.046).
Conclusion: Mortality due to Covid-19 in patients admitted to ICU in Golestan province had a high percentage. The elderly, especially those with underlying diseases, are more likely to die.
Nahid Jafari, Alireza Heidari*, Hoora Rezaei, Zahra Khatirnamani, Mohammad Zayandeh,
Volume 15, Issue 2 (summer 2024)
Abstract
Background & objectives: Human resource productivity serves as a crucial metric for evaluating organizational effectiveness, particularly in the healthcare sector where the quality of service directly impacts community well-being. This study aims to assess the human resource productivity as perceived by healthcare employees in Gorgan City, utilizing the Achieve Model framework.
Methods: This descriptive cross-sectional study involved 313 employees from various sectors of the Golestan Province health department, including urban and rural health service centers in Gorgan City. A stratified random sampling technique was employed to ensure representation across different groups. Data collection was facilitated through a validated questionnaire based on the Achieve Model of human resource productivity. Statistical analyses were conducted using SPSS-23, employing both descriptive and inferential statistics to draw meaningful insights from the data.
Results: The analysis revealed an average productivity score of 79.81±15.09 among healthcare staff in Gorgan, indicating that overall productivity levels fell within an average range. Notably, the highest scores were attributed to the dimensions of ability, feedback, adaptability, understanding, and knowledge. Conversely, dimensions associated with organizational support and motivation scored the lowest, highlighting potential areas for improvement. Furthermore, significant relationships emerged between various demographic factors - such as education level (p=0.020), workplace setting (p<0.001), and occupational group (p=0.001) - with productivity in the ability dimension. Age (p=0.027) and work experience (p=0.007) also demonstrated significant correlations with the understanding and recognition dimension.
Conclusion: It is crucial to understand the factors that impact employee performance and productivity, considering their significant role in organizational productivity.
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