Social Disconnectedness in Individuals with Cardiovascular Disease: Associations with Health Literacy and Treatment Burden.

BACKGROUND: Knowledge is limited on associations between social disconnectedness (i.e. loneliness and social isolation), health literacy and perceived treatment burden in individuals with cardiovascular disease (CVD). However, understanding these associations may be important for clinical practice. METHODS: This study used cross-sectional self-reported data from the 2017 Danish health and morbidity survey entitled 'How are you?', investigating the associations of loneliness and social isolation with low health literacy and high treatment burden in individuals with CVD (n = 2521; mean age = 65.7 years). RESULTS: Logistic regression analysis showed that loneliness and social isolation were associated with low health literacy in terms of difficulties in 'understanding health information' (loneliness: adjusted odds ratio (AOR) = 1.32, 95% confidence intervals (CI) [1.16, 1.50]; social isolation: AOR = 1.47, 95% CI [1.24, 1.73]) and 'engaging with healthcare providers' (loneliness: AOR = 1.53, 95% CI [1.37, 1.70]; social isolation: AOR = 1.21, 95% CI [1.06, 1.40]) and associated with high treatment burden (loneliness: AOR = 1.49, 95% CI [1.35, 1.65]; social isolation: AOR = 1.20, 95% CI [1.06, 1.37]). CONCLUSIONS: Our findings show that loneliness and social isolation coexisted with low health literacy and high treatment burden in individuals with CVD. These findings are critical as socially disconnected individuals experience more health issues. Low health literacy and a high treatment burden may potentially exacerbate these issues.

Danish validation of the Multimorbidity Treatment Burden Questionnaire (MTBQ) and findings from a population health survey: a mixed-methods study.

OBJECTIVE: To validate the Danish Multimorbidity Treatment Burden Questionnaire (MTBQ) and obtain a population-based evaluation of treatment burden. DESIGN: Mixed-methods. SETTING: Danish population-based survey. PARTICIPANTS: Translation by professional translators and an expert group. The scale was tested by 13 407 participants (aged ≥25 years) in treatment. MEASURES: The 10-item MTBQ was translated into Danish using forward-backward translation and used in a large population health survey. A global MTBQ score was calculated and factor analysis and Cronbach's alpha assessed dimensional structure and internal consistency reliability, respectively. Spearman's rank correlations between global MTBQ scores and scores of self-rated health, health-related quality of life and the number of long-term conditions, respectively, assessed construct validity. MTBQ scores were grouped into four categories (no, low, medium, high burden) to assess interpretability and population-based evaluation of treatment burden. RESULTS: The scale showed high internal consistency (α=0.87), positive skewness and large floor effects. Factor analysis supported a one-dimensional structure of the scale with a three-dimensional structure as a less parsimonious alternative. The MTBQ score was negatively associated with self-rated health (rS-0.45, p<0.0001) and health-related quality of life (rS-0.46/-0.51, p<0.0001), and positively associated with the number of long-term conditions (rS 0.26, p<0.0001) and perceived stress (rS 0.44, p<0.0001). Higher treatment burden was associated with young age, male sex, high educational level, unemployment, being permanently out of work, not living with a spouse/cohabitant, living with child(ren) and long-term conditions (eg, heart attack, stroke, diabetes and mental illness). CONCLUSION: The Danish MTBQ is a valid measure of treatment burden with good construct validity and high internal reliability. This is the first study to explore treatment burden at a population level and provides important evidence to policy makers and clinicians about sociodemographic groups at risk of higher treatment burden.

Low Health Literacy and Mortality in Individuals with Cardiovascular Disease, Chronic Obstructive Pulmonary Disease, Diabetes, and Mental Illness: A 6-Year Population-Based Follow-Up Study.

BACKGROUND: The objective of the study was to examine the impact of health literacy on mortality in the general population and among individuals with cardiovascular disease (CVD), chronic obstructive pulmonary disease (COPD), diabetes, and mental illness. METHODS: Data from a large Danish health survey (n = 29,473) from 2013 were linked with national mortality registry data to permit a 6-year follow-up. RESULTS: Individuals reporting difficulties in understanding information about health, had higher risk of dying during follow-up (hazard rate (HR) 1.38 (95% CI 1.11-1.73)) compared with those without difficulties. Higher risk was also observed among people reporting CVD (HR 1.47 (95% CI 1.01-2.14)), diabetes (HR 1.91 (95% CI 1.13-3.22)) and mental illness (HR 2.18 (95% CI 1.25-3.81)), but not for individuals with COPD. Difficulties in actively engaging with healthcare providers was not associated with an increase in the risk of dying in the general population or in any of the four long-term condition groups. CONCLUSIONS: Aspects of health literacy predict a higher risk of dying during a 6-year follow-up period. Our study serves as a reminder to healthcare organizations to consider the health literacy responsiveness of their services in relation to diverse health literacy challenges and needs.

Impact of low health literacy on healthcare utilization in individuals with cardiovascular disease, chronic obstructive pulmonary disease, diabetes and mental disorders. A Danish population-based 4-year follow-up study.

BACKGROUND: Previous research from the USA has shown that low health literacy is associated with higher hospitalization rates and higher rates of emergency service use. However, studies in a European context using more comprehensive health literacy definitions are lacking. The aim was to study the impact of low health literacy on healthcare utilization in a Danish context. METHODS: In this prospective cohort study, baseline survey data from 2013 were derived from a large Danish health and morbidity survey and merged with individual-level longitudinal register data for a 4-year follow-up period. The study included people in the general population (n = 29 473) and subgroups of people with four different chronic conditions: cardiovascular disease (CVD) (n = 2389), chronic obstructive pulmonary disease (COPD) (n = 1214), diabetes (n = 1685) and mental disorders (n = 1577). RESULTS: In the general population, low health literacy predicted slightly more visits to the general practitioner and admissions to hospital and longer hospitalization periods at 4 years of follow-up, whereas low health literacy did not predict planned outpatient visits or emergency room visits. In people with CVD, low health literacy predicted more days with emergency room visits. In people with mental disorders, difficulties in actively engaging with healthcare providers were associated with a higher number of hospital admission days. No significant association between health literacy and healthcare utilization was found for diabetes or COPD. CONCLUSIONS: Even though Denmark has a universal healthcare system the level of health literacy affects healthcare use in the general population and in people with CVD and mental disorders.

Health literacy, multimorbidity, and patient-perceived treatment burden in individuals with cardiovascular disease. A Danish population-based study.

OBJECTIVE: The aim was to investigate the association between: 1) multimorbidity and high treatment burden 2) health literacy and high treatment burden, and 3) the interaction between multimorbidity and health literacy in relation to high treatment burden. METHODS: We included respondents with cardiovascular disease who participated in a Danish population-based survey from 2017 (N = 2,111). Logistic regression analyses were used to study associations. RESULTS: The study showed that multimorbid individuals with cardiovascular disease were more likely to experience a high treatment burden than individuals with cardiovascular disease only (2+ additional conditions OR 4.16 [2.80-6.18]). Also, individuals with difficulties in understanding health information were more likely to report a high treatment burden than individuals who found it easy to understand information about health (OR 9.97 [6.23-15.95]). Finally, individuals with multimorbidity and difficulties in understanding health information had markedly higher odds of experiencing a high treatment burden. CONCLUSION: If individuals find it difficult to understand health information, there is a risk they might feel overwhelmed by the treatment. PRACTICE IMPLICATIONS: Healthcare professionals should be aware of health literacy challenges in planning medical treatment particularly for patients with both low health literacy levels and multimorbidity.

A Latent Class Analysis of Multimorbidity and the Relationship to Socio-Demographic Factors and Health-Related Quality of Life. A National Population-Based Study of 162,283 Danish Adults.

OBJECTIVES: To identify patterns of multimorbidity in the general population and examine how these patterns are related to socio-demographic factors and health-related quality of life. STUDY DESIGN AND SETTING: We used latent class analysis to identify subgroups with statistically distinct and clinically meaningful disease patterns in a nationally representative sample of Danish adults (N = 162,283) aged 16+ years. The analysis was based on 15 chronic diseases. RESULTS: Seven classes with different disease patterns were identified: a class with no or only a single chronic condition (59% of the population) labeled "1) Relatively Healthy" and six classes with a very high prevalence of multimorbidity labeled; "2) Hypertension" (14%); "3) Musculoskeletal Disorders" (10%); "4) Headache-Mental Disorders" (7%); "5) Asthma-Allergy" (6%); "6) Complex Cardiometabolic Disorders" (3%); and "7) Complex Respiratory Disorders" (2%). Female gender was associated with an increased likelihood of belonging to any of the six multimorbidity classes except for class 2 (Hypertension). Low educational attainment predicted membership of all of the multimorbidity classes except for class 5 (Asthma-Allergy). Marked differences in health-related quality of life between the seven latent classes were found. Poor health-related quality of life was highly associated with membership of class 6 (Complex Cardiometabolic Disorders) and class 7 (Complex Respiratory Disorders). Despite different disease patterns, these two classes had nearly identical profiles in relation to health-related quality of life. CONCLUSION: The results clearly support that diseases tend to compound and interact, which suggests that a differentiated public health and treatment approach towards multimorbidity is needed.

A National Population Study of the Co-Occurrence of Multiple Long-Term Conditions in People With Multimorbidity, Denmark, 2013.

The objective of this study was to describe the prevalence of pairwise combinations of 17 long-term conditions. Data were obtained from a national, representative population-based study including 162,283 Danish citizens aged 16 years or older. We calculated the prevalence of each long-term condition given the presence of another long-term condition. Compared with the general population, people with angina pectoris had more than twice the odds of having 12 of the 16 other long-term conditions, and inversely, people with cancer, tinnitus, or cataracts did not have notably higher odds for any of the other long-term conditions.