Multimorbidity and health literacy: A population-based survey among 28,627 Danish adults

Travel burden for patients with multimorbidity - Proof of concept study in a Dutch tertiary care center

Objectives

To explore travel burden in patients with multimorbidity and analyze patients with high travel burden, to stimulate actions towards adequate access and (remote) care coordination for these patients.

Design

A retrospective, cross-sectional, explorative proof of concept study.

Setting and Participants

Electronic health record data of all patients who visited our academic hospital in 2017 were used. Patients with a valid 4-digit postal code, aged ≥18 years, had >1 chronic or oncological condition and had >1 outpatient visits with >1 specialties were included.

Methods

Travel burden (hours/year) was calculated as: travel time in hours × number of outpatient visit days per patient in one year × 2. Baseline variables were analyzed using univariate statistics. Patients were stratified into two groups by the median travel burden. The contribution of travel time (dichotomized) and the number of outpatient clinic visits days (dichotomized) to the travel burden was examined with binary logistic regression by adding these variables consecutively to a crude model with age, sex and number of diagnosis. National maps exploring the geographic variation of multimorbidity and travel burden were built. Furthermore, maps showing the distribution of socioeconomic status (SES) and proportion of older age (≥65 years) of the general population were built.

Results

A total of 14 476 patients were included (54.4% female, mean age 57.3 years ([± standard deviation] = ± 16.6 years). Patients travelled an average of 0.42 (± 0.33) hours to the hospital per (one-way) visit with a median travel burden of 3.19 hours/year (interquartile range (IQR) 1.68 - 6.20). Care consumption variables, such as higher number of diagnosis and treating specialties in the outpatient clinic were more frequent in patients with higher travel burden. High travel time showed a higher Odds Ratio (OR = 578 (95% Confidence Interval (CI) = 353 - 947), p < 0.01) than having high number of outpatient clinic visit days (OR = 237, 95% CI = 144 - 338), p < 0.01) to having a high travel burden in the final regression model.

Conclusions and implications

The geographic representation of patients with multimorbidity and their travel burden varied but coincided locally with lower SES and older age in the general population. Future studies should aim on identifying patients with high travel burden and low SES, creating opportunity for adequate (remote) care coordination.

The Brief Health Literacy Scale for Adults: Adaptation and Validation of the Health Literacy for School-Aged Children Questionnaire

The Health Literacy for School-Aged Children (HLSAC) is a brief, generic instrument measuring health literacy among school-aged children. Given its brevity and broad conceptualization of health literacy, the HLSAC is a potentially valuable measuring instrument among adults as well. This validation study aimed to adapt the HLSAC questionnaire to an adult population through assessment of content validity and subsequently determine the structural validity of the adapted instrument, the Brief Health Literacy scale for Adults (B-HLA). The content validity of the HLSAC was assessed through interviews with respondents and experts, and the structural validity of the adapted instrument (B-HLA) was evaluated using Rasch analysis. The content validity assessment (n = 25) gave rise to adjustments in the wording of five items. The B-HLA demonstrated an overall misfit to the Rasch model (n = 290). Items 6 and 8 had the poorest individual fits. We found no signs of local dependency or differential item functioning concerning sex, age, education, and native language. The B-HLA demonstrated unidimensionality and ability to discriminate across health literacy levels (PSI = 0.80). Discarding items 6 or 8 resulted in an overall model fit and individual fit of all items. In conclusion, the B-HLA appears to be a valid and reliable instrument for assessing health literacy among adults.

Factors related with nursing students' health literacy: a cross sectional study

Background

Nursing professionals have a crucial role in promoting health literacy in health services, so it is necessary to ensure health literacy skills in future health professionals.

Objective

The objective of the study was to examine the health literacy of nursing students and its associated factors.

Methods

A cross-sectional descriptive study was carried out on 460 nursing students. For data collection, a semi-structured questionnaire was obtained on sociodemographic characteristics, perception and health care, use of the health system and lifestyles. In addition, health literacy was assessed using the European Health Literacy Questionnaire.

Results

6.1% of the participants had an inadequate level of health literacy and 36.5% problematic. The probability of having sufficient health literacy is directly associated with age; and inversely with smoking, prolonged screen time and living alone (p < 0.05).

Conclusion

A large percentage of nursing students need to improve their health literacy skills. It is necessary to integrate a greater number of contents in health literacy in the curriculum of nursing students.

Association between multiple chronic conditions and insufficient health literacy: cross-sectional evidence from a population-based sample of older adults living in Switzerland

BACKGROUND

Health literacy is the ability to find, understand, assess, and apply health information. Individuals suffering from multiple chronic conditions have complex healthcare needs that may challenge their health literacy skills. This study aimed to investigate the relationship between multimorbidity, the number of chronic conditions, and health literacy levels in a sample of adults aged 58+ in Switzerland.

METHODS

We used data from 1,615 respondents to a paper-and-pencil questionnaire administered as part of wave 8 (2019/2020) of the Survey of Health, Ageing and Retirement in Europe (SHARE) in Switzerland. Health literacy was measured using the short version of the European Health Literacy Survey questionnaire. The final score ranged from 0 to 16 and was categorised into three health literacy levels: inadequate (0-8), problematic (9-12), and sufficient (13-16). The number of chronic conditions was self-reported based on a pre-defined list. Associations were examined using multivariable ordinary least squares and ordered probit regression models, controlling for key socio-demographic characteristics.

RESULTS

Overall, 63.5% of respondents reported having at least one chronic condition. Respondents who reported one, two, and three or more chronic conditions were more likely to have lower health literacy scores compared to respondents who did not report any chronic condition (p<0.05, p<0.01, and p<0.001, respectively). Suffering from two and three or more chronic conditions (vs. no chronic condition) was significantly associated with a higher likelihood of having inadequate or problematic health literacy levels (both p-values <0.01).

CONCLUSIONS

Our findings suggest a need to improve health literacy in older adults suffering from chronic conditions. Improved health literacy could constitute a promising lever to empower individuals to better self-manage their health to ultimately reduce the double burden of chronic diseases and insufficient health literacy in this vulnerable population.

Patterns of the physical, cognitive, and mental health status of older individuals in a real-life primary care setting and differences in coping styles

Background

Physical frailty and cognitive decline are two major consequences of aging and are often in older individuals, especially in those with multimorbidity. These two disorders are known to usually coexist with each other, increasing the risk of each disorder for poor health outcomes. Mental health disorders, anxiety and depression, are common in older people with multimorbidity, in particular those with functional or sensory deficits, and frailty.

Purpose

The aim of this study was to show how physical frailty, cognitive impairments and mental disorders, cluster in the real life setting of older primary care (PC) patients, and how these clusters relate to age, comorbidities, stressful events, and coping strategies. Knowing that, could improve risk stratification of older individuals and guide the action plans.

Methods

Participants were older individuals (≥60, N = 263), attenders of PC, independent of care of others, and not suffering from dementia. For screening participants on physical frailty, cognitive impairment, and mental disorders, we used Fried‘s phenotype model, the Mini-Mental State Examination (MMSE), the Geriatric Anxiety Scale (GAS), and the Geriatric Depression Scale (GDS). For testing participants on coping styles, we used the 14-scale Brief-Coping with Problems Experienced (Brief-COPE) questionnaire. To identify clusters, we used the algorithm fuzzy k-means. To further describe the clusters, we examined differences in age, gender, number of chronic diseases and medications prescribed, some diagnoses of chronic diseases, the number of life events, body mass index, renal function, expressed as the glomerular filtration rate, and coping styles.

Results

The most appropriate cluster solution was the one with three clusters, that were termed as: functional (FUN; N = 139), with predominant frailty or dysfunctional (DFUN; N = 81), and with predominant cognitive impairments or cognitively impaired (COG-IMP; N = 43). Participants in two pathologic clusters, DFUN and COG-IMP, were in average older and had more somatic diseases, compared to participants in cluster FUN. Significant differences between the clusters were found in diagnoses of osteoporosis, osteoarthritis, anxiety/depression, cerebrovascular disease, and periphery artery disease. Participants in cluster FUN expressed mostly positive reframing coping style. Participants in two pathological clusters were represented with negative coping strategies. Religion and self-blame were coping mechanisms specific only for cluster DFUN; self-distraction only for cluster COG-IMP; and these two latter clusters shared the mechanisms of behavioral disengagement and denial.

Conclusion

The research approach presented in this study may help PC providers in risk stratification of older individuals and in getting insights into behavioral and coping strategies of patients with similar comorbidity patterns and functional disorders, which may guide them in preparing prevention and care plans. By providing some insights into the common mechanisms and pathways of clustering frailty, cognitive impairments and mental disorders, this research approach is useful for creating new hypotheses and in accelerating geriatric research.