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Showing 2 results for Heshmati Nabavi

Mohammad Rajabpoor, Seyed Reza Mazlom, Gholamhosein Zarifnejad, Seyed Mostafa Mohsenizadeh, Fatemeh Heshmati Nabavi , Simin Sharafi ,
Volume 13, Issue 1 (6-2016)
Abstract

Background: Using thinking-based scientific methods such as paper-based and electronic nursing processes in nursing education can lead to education of skilled and efficient experts that can affect students’ satisfaction in addition to their quality of care. The present study aimed to compare the effects of recording and implementing the nursing process based on two methods (paper-based and electronic) on the quality of patient care and nursing students’ satisfaction.

Methods: This randomized-field trial was conducted in 2014 on 64 nursing students that were randomly assigned into two groups of paper-based and electronic nursing process. The intervention included a one-day training on the nursing process and then its implementation on patients using the two mentioned methods during two weeks of internship. Quality of care was measured through a researcher-designed care quality questionnaire before and after the intervention. Students’ satisfaction with the implementation of the nursing process was measured through a researcher-designed students’ satisfaction questionnaire after the intervention.

 Results: The mean (±standard deviation) score of students’ satisfaction in the paper-based nursing process and the electronic process was 37.3±4.7 and 68.9±14.2, respectively. There was a statistically significant difference between the two groups (P=0.015). After the intervention, the mean score of care quality in the electronic group was 46.9±5.6 and the mean score of the paper-based group was 39.9±9.2. This difference was also statistically significant (P<0.05).

Conclusion: Since electronic nursing process can increase quality of care and students’ satisfaction more than the paper-based method, the use of electronic method may facilitate the implementation of the nursing process and change education and care giving from traditional forms to a thinking-based approach. Therefore, it is recommended to pay more attention to such method in planning nursing education.


Mohammad Amin Karimi , Rahim Akrami , Abdolghader Assarroudi , Fatemeh Heshmati Nabavi, Hamid Heidarian Miri ,
Volume 22, Issue 4 (12-2025)
Abstract

Background: Nurse emigration exacerbates the growing nursing shortage. As undesirable work schedules are linked to job burnout and emigration intention, this study aimed to comprehensively investigate the association between work schedule characteristics and nurses' intent to emigrate in Iran.
Methods: This was a cross-sectional study conducted on 560 nurses working in the medical and surgical wards of four affiliated university hospitals in the eastern part of Iran in 2025. Sampling was performed using a multistage cluster sampling method with proportional allocation, followed by simple random sampling within each ward. Data were collected using a demographic questionnaire, an adapted tool from the Trinkoff instrument for work schedule characteristics, and a dichotomous question (Yes/No) assessing intent to emigrate. Data analysis was performed using logistic regression in Stata software version 17, with a significance level of P < 0.05.
Results: A total of 39.1% of nurses reported an intent to emigrate. In the adjusted model, daily working hours of 13 to 18 hours were associated with a significantly increased intent to emigrate (OR = 2.12; 95% CI: 1.12 - 3.99). Nurses working rotating shifts had a higher likelihood of intent to emigrate compared with those working morning shifts (OR = 2.89; 95% CI: 1.73 - 4.83), and this likelihood was even higher among those working combined morning and night shifts (OR = 5.26; 95% CI: 2.54 - 10.89). Furthermore, quick returns (short rest periods between shifts) were identified as a significant predictor (OR = 2.16; 95% CI: 1.28 - 3.65).
Conclusion: The findings of this study indicate that long daily working hours, rotating and combined shifts, and quick returns are among the most significant factors associated with nurses' intent to emigrate. Recommendations for health policymakers and administrators include implementing strict limits on daily working hours to eliminate quick returns and restructuring schedules to significantly increase predictability and nurse autonomy. Addressing these stressors can reduce emigration intent and enhance healthcare system stability.




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