Showing 8 results for Nursing
Raziyeh Morshedi, Matreh Boazar, Davood Afshari, Kambiz Ahmadi Angali, Maryam Malek Zadeh,
Volume 3, Issue 1 (6-2015)
Abstract
Introduction: Manual handling of loads and carrying tasks widely exists in many occupations. Hospital staff because of Manual carrying of loads, are at increased risk of musculoskeletal disorders. Incorrect lifting methods, is an important risk factor for low back pain. The aim of this study was to analyze the biomechanical loads on the lumbar of nurses-aid in manual handling activities of serum cartons 12.5 kg in hospital and provide ergonomic solutions is the prevention of back pain.
Methods: This study was conducted one of the hospitals in Ahvaz city in year 1392. evaluated Postures were sampled through observation and photography. Then load lifting of complex index, was calculated by NIOSH equation and estimate the compressive forces on vertebras L5/ S1 as a quantitative index using software 3 D SSPP, during 2 stages before and after the intervention. The results of tests using Correlation, Regression and T-test were analyzed
Results: The results showed that the highest RWL in the top row 89/9 kg and minimum on the bottom row was 44/5 kg. The highest and lowest compressive force was estimated in the bottom and top rows, respectively, 6727 and 3707 Newton. Results of statistical tests showed significant reduction between the load lifting of complex index(CLI), and the compressive force average before and after the reform is the work station.
Conclusion:Throgh biomechanical analysis of work stations with two methods quantitatively and qualitatively can be made more accurate assessment and ergonomic conditions at work stations can be modified more accurately.
Ehsanollah Habibi, Esmaeil Farrokhi, Marjan Mansourian,
Volume 4, Issue 1 (6-2016)
Abstract
Introduction: Musculoskeletal disorders are the major health problems in nurses. One of the main reasons is patient transfer. The work technique of nursing personnel during patient transfers has been evaluated using different methods. One of the most useful ones is Direct Nurse Observation Instrument (DINO). The purpose of the present study was to assess the musculoskeletal disorders risk related to patient transfer in nursing personnel using the DINO method.
Methods: This cross-sectional study was carried out among 250 nurses working in affiliated hospitals of Isfahan University of Medical Sciences, Isfahan, Iran in 2015. Data were collected by Nordic questioners and DINO index check list. The validity and reliability of DINO checklist were reviewed and approved. For data analysis, independent t-test, chi-squared test and logistic regression were used.
Results: The average result of DINO checklist was 9.73 points (SD = 1.8), which can suggest that the way in which the technical transfer was carried out might not have been the safest. The results showed that the occurrence of musculoskeletal disorders in nursing staff was significantly associated with final scoring of the DINO index (P < 0.001).
Conclusions: According to the findings, DINO was an appropriate tool to assess musculoskeletal disorders risk due to patient handling in the nursing personnel. This method can be used in the evaluation of patient transfer educational programs and also to identify and assess an unsafe work techniques used by nurses.
Mortaza Gholami, Amir Kavousi, Mahnaz Saremi,
Volume 4, Issue 2 (10-2016)
Abstract
Introduction: Nursing in hospitals, because of the nature of the work, is a job in which work-related musculoskeletal disorders are highly prevalent. The main cause of musculoskeletal disorder amongst nursing staff is the movement of patients. The aim of this study was to evaluate the risk of musculoskeletal disorders caused by movement of patients in nursing staff of a hospital affiliated with the Allah University of Medical Sciences.
Methods: This cross-sectional study was conducted on 325 nurses from 30 wards of Baqiyatallah hospital during summer 2015. Data were collected using demographic and Body map Musculoskeletal Disorders Questionnaires and PTAI index checklist. Statistical analysis was performed using the SPSS software version 16.
Results: Some musculoskeletal symptoms had been experienced during the last 12 months by 78.3% of the nursing personnel. The results indicated that PTAI index score was significantly associated with musculoskeletal disorders occurrence (P < 0.05)
Conclusions: According to the findings, PTAI is an appropriate tool for musculoskeletal disorders risk identification and assessment due to patient handling in nursing personnel.
Mohammad Babamiri, Babak Moeini, Hojat Tahmasian, Majid Barati, Ghodrat Roshanai,
Volume 4, Issue 4 (3-2017)
Abstract
Introduction: In some occupations such as nursing, due to specific job circumstances, sleep quality is poor. Given the importance of sleep quality, this study examined the impact of sleep health education on sleep quality among nurses.
Methods: This was an interventional and quasi-experimental research. The study population included the nursing personnel serving at elected Lorestan university hospitals. Among them, 50 were randomly assigned to a control group and 50 were selected as the intervention group. Data collection was organized according to a questionnaire posing demographical questions as well as Pittsburgh Sleep Quality questionnaire. Training intervention for the intervention group was carried out. Consequently passing 45 days, both control and intervention groups were called out for questionnaire filling. Data analysis was conducted using SPSS software, independent t-test and McNemar’s test.
Results: The study results showed that after the intervention training, there was a significant difference in terms of the average sleep score among the personnel of nursing, and after the training intervention, the sleep status of the personnel got improved compared to those of the control group (P ≤ 0.05).
Conclusions: The study results showed that sleep quality-improving skills trainings had an important and decisive impact on the sleep quality of nursing personnel and holding educational courses in this field for personnel can be useful.
Ali Salehi Sahlabadi, Afsaneh Riazat, Sheari Sury, Negar Saffarinia, Zahra Damerchi, Mostafa Pouyakian,
Volume 8, Issue 1 (5-2020)
Abstract
Background and Objectives: Nursing errors are a serious threat to patient safety, which can lead to increased public concern and distrust of recipients of health care services and refusal to undergo treatment. Therefore, the present study examines types of causes of nurses' errors, reasons for not reporting them and ways to reduce errors.
Methods: The present study was a narrative review study of English and Persian articles on nurses' errors in the period (2008-2018) and was done in 2019. Articles were searched in three internal databases such as SID, Magiran and Iran Medex and five external databases of Google Scholar, PubMed, Scopus, Science Direct, and Springer.
Results: Most nursing errors were in the form of functional errors. Risk factors were divided into nurse, organization, ward, and patient-related error factors. The reasons for nurses' failure to report errors include professional reputation and legal problems. Error reduction strategies are such as nursing education and management controls.
Conclusion: Nursing errors have been studied in various ways. These studies are not only aimed at identifying nurses' errors, but also to enhance knowledge and knowledge about the possible causes and preventive factors. The benefits of this view of the articles lead to the provision of appropriate health care services, proper planning for hospitals by managers, and the advancement of nursing education. However, fewer studies have used modern methods of hazard identification.
Ramin Rahmani, Ali Ebrazeh, Farzad Zandi, Roghayeh Rouhi, Shirdel Zandi,
Volume 8, Issue 4 (1-2021)
Abstract
Background and Objectives: Paying attention to human resources is one of the basic principles for increasing productivity and quality of services in hospitals. Therefore, the present study was designed to compare the level of job satisfaction and job stress, and the association between these two components in nurses, operating room, and anesthesia staff.
Methods: This is a descriptive causal-comparative study, performed in December 2019 in Zabol hospitals with the participation of 175 nurses, operating room, and anesthesia staff. A three-part questionnaire consisting of demographic information, job satisfaction, and job stress was used to collect data. Then analysis of data was performed using SPSS 20 and the Pearson correlation coefficient, independent t-test, and ANOVA.
Results: In this study, it was found that nursing group had the highest job satisfaction and anesthesia and operating room staff had the lower job satisfaction. Also, the highest and lowest levels of job stress were related to anesthesiologists and nurses, respectively, and the differences in both variables were significant between the three groups. Moreover, the results showed that there was a significant negative correlation between job satisfaction and job stress, totally.
Conclusion: Due to that anesthesia staff was in a more unfavorable situation than others. We recommend that management planning and policies in hospitals be done by occupational groups and design and carry out the studies to assess the needs for each group.
Azizeh Pashaei Yousef Kandi, Mohammad Hassani,
Volume 9, Issue 2 (10-2021)
Abstract
Background & Objectives: Nurses, as the largest source of manpower, have a special place in medical affairs and their performance is defined as an effective activity with direct patient care, so it is necessary to study the factors affecting their performance. Therefore, the aim of this study was to investigate the role of work-related psychological components in relation to organizational factors affecting nurses' job performance.
Methods: This research is a descriptive-correlational study of structural equations according to the data collection method. The statistical population of the present study includes all nurses of Seyed Al-Shohada (AS) Hospital in Urmia, Iran (n=265). Using Krejcie and Morgan table, 155 people were selected as a statistical sample using the Relative stratified random sampling method. A questionnaire was used to collect information and after calculating the validity and reliability of the instruments, descriptive and inferential analysis of the data was performed using SPSS 22 and PLS 3 software.
Results: The results of data analysis showed that organizational values, communication satisfaction and charismatic leadership with t-values greater than 1.96 (P value<0.05) mediated by psychological factors have a positive and significant effect on nurses' job performance.
Conclusion: Values, goals, leadership, and communication are factors that go beyond a specific situation and create a sense of satisfaction and performance improvement. Managers increase the ability and capability of nurses by clearly explaining the goals and creating a suitable atmosphere for expressing views, by participating in the affairs of the sense of commitment and ownership, and by holding training courses, and provide the possibility for improving their performance.
Mohammad Sadegh Ghasemi, Ehsan Garosi, Naser Dehghan, Maryam Kaboli,
Volume 9, Issue 4 (3-2022)
Abstract
Background and Objectives: A high workload is a major challenge to health care workers, especially first- line supporters, like nurse assistants, and this has many negative consequences. This study aimed to identify the factors affecting the workload of nurse assistants in one of Tehran hospitals.
Methods: The research is descriptive- qualitative using qualitative content analysis, with the participation of 13 nurse assistants selected by purposive sampling. Data were collected through semi- structured interviews and after each interview, the data were loaded and analyzed in MAX QDA software and this process continued until data saturation. Please match the last sentence with the farsi version.
Results: In the findings of continuous data analysis, a total of 473 codes were found in the factors affecting workload in the process of nurse assistants' work system. Finally, they were classified into five categories of Systems Engineering Initiative for Patient Safety model (person, task, organization, tools, equipment and environment).
Conclusion: Most factors affecting workload are obtained in the organizational component and the least in the environmental component of the Systems Engineering Initiative for Patient Safety model, which indicates the significant role played by interpersonal relationships in the workplace and hospital rules on the workload of nurse assistants.
