Correlation between Ethical Intelligence, Quality of Work Life and Caring Behaviour of Paediatric Nurses

Shakeri, Fatemeh; Atashzadeh‐Shoorideh, Foroozan; Varzeshnejad, Maryam; Čišić, Rosana Svetić; Oomen, Ber

doi:10.1002/nop2.729

Cited by 9 publications

(4 citation statements)

References 38 publications

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“…Many health professionals (especially the occupational therapists and radiographers) in this study reported poor quality of work life. This was in accordance with previous studies who reported poor or dissatisfied quality of work life among health professionals [ 38 , 42 , 43 , 46 ]. The focus group results give an insight of what may likely contribute to the poor quality of work life.…”

Section: Discussionsupporting

confidence: 93%

“…This proportion is substantial as the wellbeing of health professionals is crucial for the provision of quality health care. Health professionals in Nigeria, like many African countries, reported poor personal wellbeing, work life quality and care compared with international health professionals [38,[40][41][42][43]. The African continent is facing healthcare service challenges including inadequate human resources, budget constraints in healthcare services, and poor leadership and management in healthcare [40] and these problems may be responsible for increased burnout among healthcare providers in sub-Saharan Africa which worsen poor performance in these construct [7].…”

Section: Discussionmentioning

confidence: 99%

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Pattern and perception of wellbeing, quality of work life and quality of care of health professionals in Southwest Nigeria

Awosoga

Odunaiya

Oyewole

et al. 2022

BMC Health Serv Res

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Background Personal wellbeing (PW) including quality of life and work life is a very complex concept that influences health professionals’ commitment and productivity. Improving PW may result in positive outcomes and good quality of care. Therefore, this study aimed to assess the pattern and perception of wellbeing, quality of work life (QoWL) and quality of care (QoC) of health professionals (HPs) in southwest Nigeria. Methods The study was a convergent parallel mixed method design comprising a cross-sectional survey (1580 conveniently selected participants) and a focus group interview (40 purposively selected participants). Participants’ PW, quality of life (QoL), QoWL, and QoC were assessed using the PW Index Scale, 5-item World Health Organization Well-Being Index, QoWL questionnaire, and Clinician QoC scale, respectively. The pattern of wellbeing, QoWL and quality of care of HPs were evaluated using t-test and ANOVA tests. Binary regression analysis was used to assess factors that could classify participants as having good or poor wellbeing, QoWL, and quality of care of HPs. The qualitative findings were thematically analyzed following two independent transcriptions. An inductive approach to naming themes was used. Codes were assigned to the data and common codes were grouped into categories, leading to themes and subthemes. Results Of 1600 administered questionnaires, 1580 were returned, giving a 98.75% response rate. Only 45.3%, 43.9%, 39.8% and 38.4% of HP reported good PW, QoL, QoC and QoWL, respectively; while 54.7%, 56.1%, 60.2% and 61.6% were poor. There were significant gender differences in PW and QoC in favor of females. With an increase in age and years of practice, there was a significant increase in PW, QoWL and QoC. As the work volume increased, there was significant decrease in QoWL. Participants with master's or Ph.D. degrees reported improved QoWL while those with diploma reported better QoC. PWI and QoC were significantly different along the type of appointment, with those who held part-time appointments having the least values. The regression models showed that participant’s characteristics such as age, gender, designation, and work volume significantly classified health professionals who had good or poor QoC, QoWL, PW and QoL. The focus group interview revealed four themes and 16 sub-themes. The four themes were the definitions of QoC, QoWL, and PW, and dimensions of QoC. Conclusion More than half of health professionals reported poor quality of work life, quality of life and personal wellbeing which were influenced by personal and work-related factors. All these may have influenced the poor quality of care reported, despite the finding of a good knowledge of what quality of care entails.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Pattern and perception of wellbeing, quality of work life and quality of care of health professionals in Southwest Nigeria

Awosoga

Odunaiya

Oyewole

et al. 2022

BMC Health Serv Res

View full text Add to dashboard Cite

show abstract

“…However, nurses' caring behavior and the quality of care they provide cannot be separated from ethics. Ignoring ethical issues can cause obvious and hidden underperformance [14,15]. According to the four-component model, nurses' behavior and actions are affected by their moral sensitivity, moral judgment, moral motivation, and moral behavior [16].…”

Section: Introductionmentioning

confidence: 99%

Missed nursing care and its relationship with nurses’ moral sensitivity: a descriptive-analytical study

Ahansaz,

Adib-Hajbaghery,

Baghaei

2024

BMC Nurs

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Background Missed care rates are an indicator of healthcare quality. Missed nursing care can reduce patient safety and lead to adverse events. Moral sensitivity enables nurses to interpret and respond to clients’ needs according to ethical principles. Despite the importance of moral sensitivity and its role in the quality of care, the relationship between nurses' moral sensitivity and missed nursing care has not been extensively studied. This raises the question of whether there is an association between nurses' moral sensitivity and missed care. This study was conducted to investigate the relationship between nurses’ moral sensitivity and missed nursing care in the medical and surgical departments of Imam Khomeini Hospital in Urmia, Iran. Methods A cross-sectional study was conducted in 2022, on 202 nurses working in the medical and surgical departments of Imam Khomeini Medical Education Center, Urmia, Iran. Stratified random sampling was used to select the participants. A questionnaire on demographic characteristics, Kalisch's missed care questionnaire, and Lutzen's moral sensitivity questionnaire were used to collect data. Data were analyzed using the Pearson correlation test and linear regression analysis. Results Most participants (52.97%) showed moderate moral sensitivity. Nurses’ mean moral sensitivity and total missed care scores were 149.07 ± 21.60 and 59.45 ± 4.87, respectively. Pearson correlation test showed no significant correlation between moral sensitivity scores and the total missed care scores (r = 0.041, p = 0.152). However, in the regression analysis, moral sensitivity (β = 0.213, p < 0.001), age (β = 0.131, p < 0.001), working in rotating shifts (β = 0.183, p < 0.001), monthly income (β = 0.079, p = 0.004), work experience (β = 0.030, p = 0.010), and monthly work hours (β = 0.247, p = 0.010) influenced missed care. Approximately, 0.98% of the variance in the missed care was explained by these variables. Conclusion Our nurses reported moderate levels of moral sensitivity and a concerning level of missed care. Missed care can have detrimental effects on patient safety. Therefore, nursing managers must address this issue promptly.

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“…In recent times, there has been a collective presumption that the attitude of nurses in hospitals towards patients and their significant others needs much to be desired; and one is tempted to attribute this unacceptable displacement of nurses' dissatisfaction with their QoWL (Asmaningrum et al, 2020 ; Kaddourah et al, 2018 ; Shakeri et al, 2021 ). While nursing leaders are making every effort to deliver standard care to the patient and improve patient satisfaction, it is important to lay down mechanisms to improve the welfare of the nursing workforce.…”

Section: Introductionmentioning

confidence: 99%

Quality of work‐life and coping strategies of nurse educators and clinicians in COVID‐19: A cross‐sectional study

et al. 2023

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The study compared perceived differences in Quality of Work-Life (QoWL) among nurse clinicians and educators and coping strategies used by nurses. Design:A cross-sectional study.Methods: From August and November 2020, the study measured the QoWL and coping strategies of 360 nurses with two scales using a multi-stage sampling technique.The data were analysed with descriptive, Pearson correlation and multivariate linear regression analyses. Results: Quality of Work-Life was generally low among nurses; nurse educators, however, had better QoWL than clinical nurses. Age, salary and nature of work predicted the QoWL of nurses. Work-family segmentation, seeking assistance, open communication and recreational activities were employed by most nurses to cope with challenges. With the rate of workload and work-related stress associated with COVID-19, nurse leaders must advocate for evidence-based coping strategies to deal with work and family life stress.

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Correlation between Ethical Intelligence, Quality of Work Life and Caring Behaviour of Paediatric Nurses

Cited by 9 publications

References 38 publications

Pattern and perception of wellbeing, quality of work life and quality of care of health professionals in Southwest Nigeria

Pattern and perception of wellbeing, quality of work life and quality of care of health professionals in Southwest Nigeria

Missed nursing care and its relationship with nurses’ moral sensitivity: a descriptive-analytical study

Quality of work‐life and coping strategies of nurse educators and clinicians in COVID‐19: A cross‐sectional study

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