Change in treatment burden among people with multimorbidity: Protocol of a follow up survey and development of efficient measurement tools for primary care

Relationship between Treatment Burden, Health Literacy, and Medication Adherence in Older Adults Coping with Multiple Chronic Conditions

A prospective study was conducted to investigate the impact of treatment burden and health literacy on medication adherence among older adults with multiple chronic conditions (MCC) and to explore the potential moderating effects of demographic and clinical factors. Face-to-face structured interviews were conducted among older adults aged 60 and above using the Burden of Treatment Questionnaire (TBQ-15), Short Form Health Literacy Questionnaire (HLS-SF12), and Malaysia Medication Adherence Assessment Tool (MyMAAT). This study included 346 older adults aged 60 years and above with two or more chronic conditions (n = 346). Hypertension (30.2%), hyperlipidemia (24.0%), and diabetes (18.0%) were the most reported chronic conditions among participants. The mean score of treatment burden was 53.4 (SD = 28.2), indicating an acceptable burden of treatment. The mean score of health literacy was 16.4 (SD = 12.6), indicating a limited health literacy level among participants; meanwhile, the mean score of medication adherence was 32.6 (SD = 12.3), indicating medication non-adherence among participants. Medication adherence was significantly correlated with treatment burden (r = -0.22, p < 0.0001), health literacy (r = 0.36, p < 0.0001), number of chronic conditions (r = -0.23, p < 0.0001), and age (r = -0.11, p < 0.05). The study findings emphasize that multimorbid older adults with high treatment burdens and low health literacy are more likely to have poor medication adherence. This underscores the importance for clinicians to address these factors in order to improve medication adherence among older adults with multiple chronic conditions (MCC).

A rapid review of interventions to improve medicine self-management for older people living at home

BACKGROUND

As people age, they are more likely to develop multiple long-term conditions that require complicated medicine regimens. Safely self-managing multiple medicines at home is challenging and how older people can be better supported to do so has not been fully explored.

AIM

This study aimed to identify interventions to improve medicine self-management for older people living at home and the aspects of medicine self-management that they address.

DESIGN

A rapid review was undertaken of publications up to April 2022. Eight databases were searched. Inclusion criteria were as follows: interventions aimed at people 65 years of age or older and their informal carers, living at home. Interventions needed to include at least one component of medicine self-management. Study protocols, conference papers, literature reviews and articles not in the English language were not included. The results from the review were reported through narrative synthesis, underpinned by the Resilient Healthcare theory.

RESULTS

Database searches returned 14,353 results. One hundred and sixty-seven articles were individually appraised (full-text screening) and 33 were included in the review. The majority of interventions identified were educational. In most cases, they aimed to improve older people's adherence and increase their knowledge of medicines. Only very few interventions addressed potential issues with medicine supply. Only a minority of interventions specifically targeted older people with either polypharmacy, multimorbidities or frailty.

CONCLUSION

To date, the emphasis in supporting older people to manage their medicines has been on the ability to adhere to medicine regimens. Most interventions identify and target deficiencies within the patient, rather than preparing patients for problems inherent in the medicine management system. Medicine self-management requires a much wider range of skills than taking medicines as prescribed. Interventions supporting older people to anticipate and respond to problems with their medicines may reduce the risk of harm associated with polypharmacy and may contribute to increased resilience in the system.

PATIENT OR PUBLIC CONTRIBUTION

A patient with lived experience of medicine self-management in older age contributed towards shaping the research question as well as the inclusion and exclusion criteria for this review. She is also the coauthor of this article. A patient advisory group oversaw the study.

Change in treatment burden among people with multimorbidity: a follow-up survey

Background

Treatment burden is the effort required of patients to look after their health and the impact this has on their functioning and wellbeing. Little is known about change in treatment burden over time for people with multimorbidity.

Aim

To quantify change in treatment burden, determine factors associated with this change, and evaluate a revised single-item measure for high treatment burden in older adults with multimorbidity.

Design and setting

A 2.5-year follow-up of a cross-sectional postal survey via six general practices in Dorset, England.

Method

GP practices identified participants of the baseline survey. Data on treatment burden (measured using the Multimorbidity Treatment Burden Questionnaire; MTBQ), sociodemographics, clinical variables, health literacy, and financial resource were collected. Change in treatment burden was described, and associations assessed using regression models. Diagnostic test performance metrics evaluated the revised single-item measure relative to the MTBQ.

Results

In total, 300 participants were recruited (77.3% response rate). Overall, there was a mean increase of 2.6 (standard deviation 11.2) points in treatment burden global score. Ninety-eight (32.7%) and 53 (17.7%) participants experienced an increase and decrease, respectively, in treatment burden category. An increase in treatment burden was associated with having >5 long-term conditions (adjusted β 8.26, 95% confidence interval [CI] = 4.20 to 12.32) and living >10 minutes (versus ≤10 minutes) from the GP (adjusted β 3.88, 95% CI = 1.32 to 6.43), particularly for participants with limited health literacy (mean difference: adjusted β 9.59, 95% CI = 2.17 to 17.00). The single-item measure performed moderately (sensitivity 55.7%; specificity 92.4%.

Conclusion

Treatment burden changes over time. Improving access to primary care, particularly for those living further away from services, and enhancing health literacy may mitigate increases in burden.