664 research outputs found

    psychometric properties of the EQ-HWB among healthy subjects, patients, and caregivers

    No full text
    Introduction The EuroQol Health and Well-Being (EQ-HWB) is a generic quality of life questionnaire in development, to capture more detailed aspects of health and well-being than EQ-5D-5L. This paper examines the measurement properties and factor structure of the EQ-HWB in comparison with the EQ-5D-5L. Methods Respondents (i) with or without caregiver tasks, and (ii) with different diseases, or (iii) in full health, were recruited online. Ceiling effects, convergent validity and divergent validity, known disease and caregiver group differences were explored and an explorative factor analysis employed. Results 500 respondents were recruited, of whom 140 were healthy people, 122 with chronic hepatitis B (CHB), 101 with HIV_AIDS, 107 with major depressive disorder (depression), 90 with generalized anxiety order (GAD), and 40 healthy responders were also a caregiver (responders can have more than one health problem). EQ-HWB had a lower ceiling effect than EQ-5D-5L. The highest correlations between the EQ-HWB activities dimension and EQ-5D-5L were in the dimensions: mobility, self-care, and usual activities. The EQ-HWB physical sensation is most related to the EQ-5D-5L pain dimension. The remaining well-being EQ-WHB dimensions were most related to the EQ-5D-5L anxiety and depression dimension. EQ-5D-5L and EQ-HWB could identify differences in the diseases and caregiving burdens across healthy people, physical and mental disease patients, and healthy caregivers. Explorative factor analyses reveal 5 meaningful factors. Conclusion EQ-HWB can differentiate well-being in more detail than EQ-5D-5L, and has the advantages that it can measure relevant outcomes across healthcare, social care, and public health

    Coping strategies as determinants of quality of life in stroke patients: a longitudinal study

    No full text
    Background: quality of life (QoL) is reduced for stroke patients and coping strategies have been suggested as determinants of QoL. Thus far the relationship between coping and QoL has only been examined in small-scale cross-sectional designs. Therefore, the current study set out to examine this relationship in a longitudinal setting. Methods: stroke patients who were discharged home were interviewed at 4 different time points; just before discharge (T1), and 2 months (T2), 5 months (T3) and 9–12 months after discharge (T4). QoL was measured by the EQ-5D index score and the SF-36 utility score and coping expressed in terms of tenacious goal pursuit and flexible goal adjustment. Modified Rankin scale was assessed as a measure of general functioning. Results: eighty stroke patients were included. Coping was not predictive of QoL at T1 and T2 but rather at T3 and T4. At T4 both coping strategies determined the levels of QoL as measured with the EQ-5D index score; higher levels of tenacious goal pursuit as well as flexible goal adjustment were associated with higher levels of QoL. This regression model explained 44% of the variance. Conclusions: Coping is a powerful determinant of QoL, but only more than 5 months after discharge; before this time QoL is mainly determined by general functioning. Both coping strategies were important determinants of Qo
    corecore