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Background/Aims: Dementia is one of the main reasons for institutionalization among the elderly. Few studies have explored factors associated with the caregivers’ (CG) desire to institutionalize (DTI) a person with dementia (PWD). The objective of this study is to identify modifiable and non-modifiable psychosocial and sociodemographic factors associated with a caregiver’s DTI. Methods: Cross-sectional data of 355 informal CG of community-dwelling PWD were analyzed. Several characteristics were identified in CG and PWD to be included in a multivariable regression model based on the purposeful selection method. Results: Positively modifiable associated factors were: higher CG burden, being affected by behavioral problems, and respite care use. Positively associated non-modifiable factors were: CG older age, being professionally active, and CG higher educational level. Cohabitation and change of professional situation were negatively associated. Conclusion: Although no causality can be assumed, several practical recommendations can be suggested. First of all, these results reconfirm the importance of multicomponent strategies, especially support aimed at decreasing burden and in learning coping strategies. Also, CG might benefit from information about support options, such as respite care services. Finally, special attention should be given to older and working CG. In the latter, flexible and adaptive working conditions might alleviate burden and therefore reduce the DTI of the PWD.

Purpose Health-related quality of life outcomes are increasingly used to monitor population health and health inequalities and to assess the (cost-) effectiveness of health interventions. The EQ-5D-5L has been included in the Belgian Health Interview Survey, providing a new source of population-based self-perceived health status information. This study aims to estimate Belgian population norms for the EQ-5D-5L by sex, age, and region and to analyze its association with educational attainment. Methods The BHIS 2018 provided EQ-5D-5L data for a nationally representative sample of the Belgian population. The dimension scores and index values were analyzed using logistic and linear regressions, respectively, accounting for the survey design. Results More than half of respondents reported problems of pain/discomfort, while over a quarter reported problems of anxiety/depression. The average index value was 0.84. Women reported more problems on all dimensions, but particularly on anxiety/depression and pain/discomfort, resulting in significantly lower index values. Problems with mobility, self-care, and usual activities showed a sharp increase after the age of 80 years. Consequently, index values decreased significantly by age. Lower education was associated with a higher prevalence of problems for all dimensions except anxiety/depression and with a significantly lower index value. Conclusion This paper presents the first nationally representative Belgian population norms using the EQ-5D-5L. Inclusion of the EQ-5D in future surveys will allow monitoring over time of self-reported health, disease burden, and health inequalities.

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Background Little is known about how patients with low socioeconomic status (SES) experience their chronic disease, and how it impacts health-related quality of life (HRQoL). Compared to their more affluent counterparts, worse outcomes have been reported. A better understanding of the domains of HRQoL that are relevant to these specific populations is therefore needed. We explored the experiences of living with a chronic disease in low SES persons. Methods A qualitative interview study was performed in Flanders, Belgium. Semi-structured interviews were conducted in chronically ill patients, selected through purposive sampling. Interviews were audio-recorded and transcribed verbatim. Analysis followed an inductive and iterative approach. Results Fifteen patients were interviewed. Six major themes were identified: a heavy bag to carry, loss of autonomous life, inner and outer loneliness, emotional imbalance, unmet need for support, and coping strategies. Patients experienced their illness as an additional problem on top of all other problems (i.e. financial/social problems, traumatic life events). In general, the disease burden and non-disease burden were mutually reinforcing, resulting in greater dependency, greater risk of social isolation, greater psychological distress, and greater risk of impaired HRQoL. Conclusions This study is the first to provide detailed insight into the experiences of living with a chronic disease in low SES persons. A conceptual model is proposed that can be used in daily clinical practice to raise awareness among clinicians and health care providers that the patient’s needs go beyond the disease itself. Future research is needed to validate and test the model.

Background Chronic diseases and multimorbidity are a major cause of disease burden—for patients, caregivers, and society. Little is known however about potential interaction effects between specific disease combinations. Besides an additive effect, the presence of multiple conditions could also act synergistically or antagonistically regarding the impact on patients’ health-related quality of life (HRQoL). The aim was to estimate the impact of coexisting chronic diseases on HRQoL of the adult general Belgian population. Methods The Belgian Health Interview Survey 2018 provided data on self-reported chronic conditions and HRQoL (EQ-5D-5L) for a nationally representative sample. Linear mixed models were used to analyze two-way and three-way interactions of disease combinations on HRQoL. Results Multimorbidity had a prevalence of 46.7% (≥ 2 conditions) and 29.7% (≥ 3 conditions). HRQoL decreased considerably with the presence of multiple chronic diseases. 14 out of 41 dyad combinations and 5 out of 13 triad combinations showed significant interactions, with a dominant presence of negative/synergistic effects. Positive/antagonistic effects were found in more subjective chronic diseases such as depression and chronic fatigue. Conditions appearing the most frequently in significant disease pair interactions were dorsopathies, respiratory diseases, and arthropathies. Conclusions Diverse multimorbidity patterns, both dyads and triads, were synergistically or antagonistically associated with lower HRQoL. Tackling the burden of multimorbidity is needed, especially because most disease combinations affect each other synergistically, resulting in a greater reduction in HRQoL. Further knowledge about those multimorbidity patterns with a greater impact on HRQoL is needed to better understand disease burden beyond mortality and morbidity data.

IntroductionNon-communicable diseases (NCDs) are associated with lower health-related quality of life (HRQoL). However, knowledge about those diseases and predictors with a greater impact on patients’ HRQoL as well as knowledge on the complex relationship between HRQoL and comorbidities is lacking. The aim of this study is to assess the impact of NCDs on patients’ HRQoL, with a focus on multimorbidity and socioeconomic status.Methods and analysisA primary care-based cross-sectional study is conducted in Flanders (Belgium). Study participants (≥18 years) are medically diagnosed with at least one of the following diseases: cardiometabolic disorders, mental disorders and musculoskeletal disorders. A minimum of 50 general practitioners will participate to recruit participants (convenient sample) and a total of 531 patients will be enrolled (voluntary response sample). Each participant will complete a paper-based questionnaire to gather research outcomes. Statistical analyses will be performed using multiple linear regression models with HRQoL as main outcome parameter, adjusted for possible confounders. This study will generate new evidence on the key predictors of HRQoL in patients with NCDs, and particularly provide new insights in multimorbidity to improve the quality of care in primary care, to support patients’ self-management and to allocate resources more effectively.Ethics and disseminationThe study has been approved by the Ethical Committee of Ghent University Hospital, Ghent, Belgium (reference number: B670201939629) prior to the beginning of the recruitment. Study results will be disseminated through peer-reviewed publications and conference presentations.

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