How do doctors perceive and use patient quality of life? Findings from focus group interviews with hospital doctors and general practitioners

Quality of Life and Wellbeing Parameters of Academic Dental and Nursing Personnel vs. Quality of Services

Quality of life (QOL) is based on one's perception of one's position in life with respect to one's goals, expectations, standards, and concerns. It is also influenced by one's culture and value system, workflow, and workplace situation; in turn, QOL influences the quality of service one is able to provide. In this study, we aim to report on dental and nursing academics' QOL and wellbeing at the end of the third year of the COVID-19 pandemic. There are several studies on the impact of the COVID-19 pandemic on health professionals (nurses and dentists), but it is important to investigate their quality of life three years later; furthermore, knowledge about academic staff is very limited. The World Health Organization Quality of Life-BREF Scale (WHOQOL-BREF) tool, recording the physical, psychological, social, and environmental dimensions of QOL, was used. The WHOQOL-BREF was modified using a spiritual coaching/mentoring approach in a two-step design and validation procedure. The modified SHQOL-BREF (Spiritual Healthcare version) designed for this study was uploaded and filled in online during April-June 2023. The staff (N = 120, 75% female) of the Departments of Dentistry (44.2%) and Nursing (55.8%) of the National and Kapodistrian University of Athens participated anonymously. QOL in terms of physical health was reported at a higher level (M = 72.2 points) compared to social relationships (M = 69 points), psychological health (M = 65 points), and environment (M = 59 points) (scores reported on a 0-100 scale). Overall, QOL was rated at 66 points, while satisfaction with one's health was at 72 points. Job satisfaction (M1 = 3.2) and spirituality (M2 = 3.0) were reported at a medium level on a five-point scale, while personal beliefs and values were reported at a high level (M3 = 4.0). The four areas of QOL are associated with job satisfaction, personal beliefs, and spirituality. Participant age presented a significant moderate-strong effect on physical health (F (3.97) = 2.89, p < 0.05, η2p = 0.08) and on the environment (F (3.97) = 2.80, p < 0.05, η2p = 0.08), and marital status had a significant effect on social relationships (F (1.97) = 9.66, p < 0.05, η2p = 0.09). Married participants reported consistently higher levels of QOL compared to single participants, for all age groups. The department had a significant moderate effect on social relationships (F (1.97) = 5.10, p < 0.05, η2p = 0.05), and education had a significant moderate-strong effect on psychological health (F (2.97) = 3.74, p < 0.05, η2p = 0.07). PhD-level participants in both departments presented higher levels of psychological health compared to those with lower educational levels. Also, participants from the Department of Dentistry reported higher levels of social relationship QOL in all educational groups compared to the Department of Nursing. Overall, according to our findings, PhD participants generally had better psychological health. Those under 40 years of age had higher levels of physical health and environmental quality of life, while married participants and those from the Department of Dentistry had higher levels of social interactions than those from the Department of Nursing. Strategic planning on sustainability and QOL initiatives should be introduced after the COVID-19 pandemic for dental and nursing academic personnel to promote resilience and QOL scores. Enhancing the QOL of academic staff is essential for developing health promotion activities at universities and can help boost performance among staff and students.

Cross-Cultural Validation of Health and Quality of Life Measures for Children in Hong Kong

Objective

The Pediatric Quality of Life Inventory (PedsQL™) 4.0 is a health-related quality of life (HRQOL) measure designed for clinical practice and research, health policy evaluation, and general population surveys. There is a dearth of instruments measuring quality of life in children which are available in Chinese and validated for Chinese populations. Therefore, this study attempted to establish the Hong Kong populations' norms for the Chinese version of PedsQL™ and examined the psychometric properties of the measure for this population.

Methods

Sixty-nine children (aged 7 to 12 years) and their parents completed the child self-report and the parent proxy report, respectively, of the PedsQL™ 4.0 Generic Module. To evaluate construct validity, a group comparison of children with special educational needs (SEN) (n = 21) and those with typical development (TD) (n = 48) was conducted. Differences based on age group and gender and parent–child agreement on the perception of the child's HRQOL were also examined.

Results

Children with SEN had a lower quality of life perception than those with TD in the physical, social, and schooling domains. No significant differences in emotional health were found between the two groups. The differences between the children with SEN and with TD varied based on age group and gender. The differences between the parents' and children's perceptions of the children's HRQOL were insignificant in this sample.

Conclusion

Norms for the Chinese version of the PedsQL™ 4.0 Generic Module for the Hong Kong population were established in the study, and both the child self-report and parent proxy report were found to be reliable and valid for this population.