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العنوان
Centralization and Decentralization of Decision Making in Relation to the Well-being of Nursing Staff at their Work Setting /
المؤلف
Marzok, Sanaa Romany.
هيئة الاعداد
باحث / سناء رومانى مرزوق
مشرف / صفاء محمد عبدالرحمن
مشرف / رشا محمد نجيب على
مشرف / هبه دكرورى على السيد
الموضوع
Community health nursing - Decision making. Public health nursing - Decision making.
تاريخ النشر
2024.
عدد الصفحات
170 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
القيادة والإدارة
تاريخ الإجازة
6/3/2024
مكان الإجازة
جامعة المنيا - كلية التمريض - قسم ادارة التمريض
الفهرس
Only 14 pages are availabe for public view

from 181

from 181

Abstract

Finding the most accurate information for the problem’s solution and utilizing it in the DM process are crucial steps in the process, which is defined as choosing the best possible solution and making an effective decision. Additionally, DM is a crucial managerial role in every company. The caliber of decisions made by leaders at all levels determines whether it succeeds or fails in large part. Any choices pertaining to staffing, organizing, directing, or planning are intimately linked to the DM process (Abdelhadi et al., 2020; Arkan et al., 2022).
Power is redistributed between the head of state and lower-level politicians, civil servants, and agency executives through the dynamic processes of centralization and decentralization, which can occur either towards or away from a central government (national or sub-national) or within government. Theoretically, more local level DM could enable health resources and program planning to more accurately reflect the needs and preferences of the local population, enhancing patient and public satisfaction as well as effectiveness (Greer et al., 2021).
”Well-being” refers to a broad range of emotions related to our lives, work, and interpersonal relationships. Our daily interactions with coworkers and management, our sense of purpose, and the work we accomplish all have an impact on how happy we feel about our jobs. Employers can significantly impact an individual’s sense of well-being, which can benefit the organization in many ways (Kim et al., 2019). The simplest definition of well-being is maintaining employees’ health, motivation, and presence at work so they can perform the tasks for which they are compensated, be productive, and increase the company’s profit. Workplace well-being is about self-preservation for employers and employees alike (Brockis, 2019).
The current study aimed to assess centralization and decentralization of decision making in relation to the well-being of nursing staff at their work setting.
So, the questions of this study as follow
1. What is the degree of centralization and decentralization decision making among nursing staff?
2. What is the degree of well-being among nursing staff?
3. What is the relation between centralization, decentralization decision making and well-being among nursing staff?
4. What is the relation between personal data and centralization, decentralization decision making as well as well-being among nursing staff?
Descriptive research design was utilized in the actual study. This study was conducted at the Health Insurance Hospital in Minia governorate, also a convenience sampling technique was utilized in this study with total numbers were 222 nurses.
Data collection tool:
Tool (I): centralization and decentralization DM scale: - It included two parts:
• Part I: personal data: It developed by the researcher and used to gathered data about nursing staff as well as encompass as age, education, sex, years of experience in the nursing field, department, residence, as well as attended of workshop about DM.
• Part II: centralization and decentralization decision –making scale. This scale developed by Fihan, (2004) to test centralization and decentralization DM. It consisted of 14 items (eight items pertained to centralized DM and six items pertained to decentralized DM).
Tool (II): Nurses’ Well-being at Work scale: -
This scale developed by Parker and Hyett, (2011) to assess well-being among nurses. It composed of 31 items and it was divided into 4dimensions as follow: work satisfaction (ten items); (seven items) organizational respect for the employee; superiors care (seven items); as well as intrusion of work into private life (seven items).
Data Collection Procedure: -
Prior to initiating data collection, the head manager of Health Insurance Hospital received an official letter from the dean of the Nursing Faculty requesting permission to collect data. Together with a brief explanation of the study’s goals, this letter was sent to get his cooperation and permission to meet with nurses. group interviews with nursing staff were conducted to describe the nature and goals of the study. The questionnaires took about twenty-three minutes to complete. Two days a week, between 8 a.m. and 12 p.m., the investigator was present at the Health Insurance Hospital during official business hours. Three months, from the beginning of August to the end of October 2022, were used to gather the data.
Ethical Consideration:
• The Minia University Faculty of Nursing’s Research Ethics Committee granted an official letter.
• The director of the hospital and the nursing director gave their approval, and the dean of Minia University’s Faculty of Nursing approved the study’s conduct.
• Prior to conducting the pilot study and the main study, participants who were willing to participate were asked for their oral consent after being informed about the nature and goal of the research. Permission and consent were obtained from the head of the department and the head nurse.
• The study subject was free to decline participation or to leave the study at any moment, for any reason. Privacy of study participants was taken into account when gathering data. Participants received assurances that all of their data would be kept completely private. Anonymity was further ensured by giving each nurse a number rather than their name in order to preserve their privacy.
The following statistics were used to show the study’s findings:
As regard to personal data among the studied sample at Health Insurance Hospital, the current study findings showed that, showed that the (90.5%) of the nursing staff aged between 21 - < 32 years with mean age 27.51±5.663years, also (93.2%) of them were females, moreover (85.1%) of them had technical institute of nursing education, and the (89.2%) of them had 1-10 years of experience, also, (21.6%) of them worked in OR department, and (14.4%) of them worked in ED, additionally (54.5%) of them were lived in rural area, finally (85.1%) of them didn’t attendant seminar or workshop about DM.
As regards distribution of nursing staff opinions regarding centralized DM at Health Insurance Hospital, the actual findings of this study demonstrated that (78.8%) of the nursing staff had high decentralized decision making and (23.9%) of them had high centralized decision making.
Regarding percentage distribution of nursing staff well-being at Health Insurance Hospital, the actual findings of this study displayed that (87.8%) of them had moderate level of total well-being while (5.4%) of them had high level of total well-being as well as (6.8%) of them had low level of total well-being.
Concerning Relation between nursing staff personal data and centralized as well as decentralized DM at Health Insurance Hospital, the actual findings of this study found that there were no statistical significance differences between the studied sample demographic data and centralized DM at Health Insurance Hospital. Also, the current study found that there were no statistical significance differences between the studied sample demographic data and decentralized DM.
Regarding relation between nursing staff personal data and well-being at Health Insurance Hospital, the actual findings of this study revealed that there were no statistical significance differences between the personal data of the studied sample and the degree of wellbeing. But there were highly statistical significance differences between the attendance of seminar or workshop and the level of staff wellbeing.
Regarding correlation between study variable among nursing staff at Health Insurance Hospital, the actual findings of this study revealed that there was a negative correlation between the nursing staff centralized as well as decentralized DM and their well-being.
Conclusion
In light of the study findings, it was concluded that the highest number of the nursing staff had high level of decentralized decision making and less than one quarter of them had high level of centralized decision making, additionally the highest number of them had moderate level of total well-being. Also, there were no statistical significance differences between the nursing staff personal data and (centralized as well as decentralized DM). While were no statistical significance differences between nursing staff personal data and the degree of well-being except attendance a seminar or workshop.
Moreover, there was a negative correlation between the nursing staff centralized as well as decentralized DM and their well-being.
Recommendations of the study
In light of the actual study’s findings, the researcher made the following suggestions:
• Increase superior care to staff nurses to ensure that effective as well as safe care is improved and enhance the work effectiveness as well as minimize errors also the dissatisfactions.
• Enhance organizational respect for the staff nurses lead to enhance dignity as well as honoring the presence of each other, involving feelings, thoughts as well as expertise
• Perform continuous educational training for novel nurses to enhance nurses’ supervisor DM.
• Involve staff nurses in rules and regulation governing DM in the hospital.
• Evaluate staff nurses’ perceptions of their actual involvement in DM with the assistance of nurse managers.
• Evaluate each unit annually and reward the highest unit which utilized decisional involvement.
Recommendations for further studies
• Investigate impact of work environment and job characteristics on decisional involvement among staff nurses.
• Investigate factors effect on nursing staff well-being.
• Investigate factors effect on nursing staff DM.
• Investigate correlation between nursing staff well-being as well as their quality of work life.
• Investigate correlation between nursing staff DM as well as their performance.