The Common Patterns of Multimorbidity and Its Impact on Healthcare Cost in Korea

Association between multimorbidity and periodontal disease in Korean adults: A nationwide cross-sectional cohort study

OBJECTIVES

This study aimed to investigate the association between multimorbidity, which refers to the presence of two or more chronic diseases, and periodontal disease in Korean adults using national survey data.

METHODS

A total of 12,440 Korean adults aged ≥19 years were selected from the seventh Korea National Health and Nutrition Examination Survey (KNHANES). We investigated periodontal disease status based on various variables, including the gender, age, educational level, income level, smoking and alcohol drinking status, frequency of daily toothbrushing, and unmet dental treatment needs. Furthermore, periodontal status according to diagnosed chronic diseases, including hypertension, dyslipidaemia, stroke, myocardial infarction, angina pectoris, and diabetes, was investigated, and the association between multimorbidity and periodontal disease was analysed through multiple logistic regression using SAS 9.4.

RESULTS

According to the general characteristics of the study participants, the prevalence of periodontal disease was higher in males, smokers, older age, and lower educational and income levels (p < 0.001). Moreover, as the frequency of daily toothbrushing increased, the distribution of periodontal disease decreased (p < 0.001). The prevalence of periodontal disease was higher in those with chronic diseases than in those without chronic diseases and was statistically significantly higher as the number of diagnosed chronic diseases increased (p < 0.001). Additionally, an increase in the number of chronic diseases was observed to increase the prevalence and risk of periodontal disease.

CONCLUSION

These results suggest that multimorbidity significantly affects the prevalence of periodontal disease.

A network-based approach to explore comorbidity patterns among community-dwelling older adults living alone

The detailed comorbidity patterns of community-dwelling older adults have not yet been explored. This study employed a network-based approach to investigate the comorbidity patterns of community-dwelling older adults living alone. The sample comprised a cross-sectional cohort of adults 65 or older living alone in a Korean city (n = 1041; mean age = 77.7 years, 77.6% women). A comorbidity network analysis that estimates networks aggregated from measures of significant co-occurrence between pairs of diseases was employed to investigate comorbid associations between 31 chronic conditions. A cluster detection algorithm was employed to identify specific clusters of comorbidities. The association strength was expressed as the observed-to-expected ratio (OER). As a result, fifteen diseases were interconnected within the network (OER > 1, p-value < .05). While hypertension had a high prevalence, osteoporosis was the most central disease, co-occurring with numerous other diseases. The strongest associations among comorbidities were found between thyroid disease and urinary incontinence, chronic otitis media and osteoporosis, gastric duodenal ulcer/gastritis and anemia, and depression and gastric duodenal ulcer/gastritis (OER > 1.85). Three distinct clusters were identified as follows: (a) cataracts, osteoporosis, chronic otitis media, osteoarthritis/rheumatism, low back pain/sciatica, urinary incontinence, post-accident sequelae, and thyroid diseases; (b) hyperlipidemia, diabetes mellitus, and hypertension; and (c) depression, skin disease, gastric duodenal ulcer/gastritis, and anemia. The results may prove valuable in guiding the early diagnosis, management, and treatment of comorbidities in older adults living alone.

Effects of Changes in Multiple Chronic Conditions on Medical Costs among Older Adults in South Korea

This study aims to analyze the relationship between cognitive function and out-of-pocket cost of the state change of multiple chronic conditions in individuals aged 60 or older. Data from the 2014 to 2018 Korean Longitudinal Study of Aging were used for 2202 older adults who were cognitively “normal” at the start of the survey. Four status change groups were established (“Good → Good,” “Good → Bad,” “Bad → Good,” and “Bad → Bad”) according to the change in the number of chronic diseases. Generalized estimating equation modeling analyzed the association between these changes and out-of-pocket medical cost. Out-of-pocket cost was significantly higher among older adults with multiple chronic conditions (p < 0.0001). Total out-of-pocket medical cost and out-of-pocket cost for outpatient care and prescription drugs were significantly higher for Bad→ Bad or Good → Bad changes. Older adults with cognitive decline had significantly higher total out-of-pocket medical cost and out-of-pocket cost for prescription drugs. This study demonstrates the need to improve the multiple chronic conditions management construction model to enhance the health of older adults in Korea and secure national health care finances long-term. It provides a foundation for related medical and medical expenses-related systems.

The Relationship Between Pain and Quality of Life Among Adults With Knee Osteoarthritis: The Mediating Effects of Lower Extremity Functional Status and Depression

Pain, lower extremity functional status, and depression have been associated with quality of life among patients with knee osteoarthritis (KOA). However, little is known about the manner in which these factors influence quality of life. The present study examined the mediating effects of lower extremity functional status and depression on the relationship between pain and quality of life among adults with KOA. A descriptive cross-sectional study was conducted among 135 adults with KOA who visited an orthopaedic outpatient clinic in Korea. The participants responded to the Numeric Rating Scale, Lower Extremity Functional Scale, Beck Depression Inventory, and the Korean version of the World Health Organization Quality of Life-BREF. Mediation analysis was conducted using the PROCESS macro for SPSS. The serial mediating effects of lower extremity functional status and depression on the relationship between pain and quality of life were significant. These findings suggest that the assessment and management of lower extremity functional status and depression are important means by which the quality of life of adults with painful KOA can be improved.

Factors Affecting Health-Related Quality of Life in Multimorbidity

We investigated the effect of predisposing, enabling, need factors, and health behaviors on health-related quality of life (HRQoL) of patients with multimorbidity according to Andersen's model. This study is a secondary analysis of population-based cross-sectional surveys. Data from 328 patients with multimorbidity (≥3 co-occurring chronic diseases) from the 6th/7th Korea National Health and Nutrition Examination Surveys were analyzed using logistic regression. Patients ≥65 years, without private insurance, with poor subjective health, unmet medical needs, and/or limited activity were more likely to experience mobility problems. Self-care problems were more likely among those without private insurance and/or with limited activity. Patients lacking living security, with poor subjective health, limited activity, and/or who smoked were more likely to experience problems performing usual activities. Pain/discomfort was more likely among females, Medicaid beneficiaries, and patients with limited activity and/or with poor subjective health. Patients with poor subjective health, limited activity, and/or unmet medical needs were more likely to experience anxiety/depression. The investigation of HRQoL in multimorbidity should consider predisposing, enabling, need factors, and health behaviors. Interventions addressing movement restrictions and personalized care based on HRQoL domains should be prioritized.

Health-Related Quality of Life Based on Comorbidities Among Patients with End-Stage Renal Disease

Objectives

The aim of this study was to investigate comorbidities in patients with end-stage renal disease, and to compare health-related quality of life (HRQOL) according to the type, and number of comorbidities.

Methods

A total of 250 adults undergoing hemodialysis were recruited at local clinics. HRQOL was measured using the 12-item Medical Outcomes Study Short Form questionnaire. Data were analyzed using descriptive statistics, analysis of variance, and t test.

Results

Around 70.8% of patients with end stage renal disease had 1 or more comorbidities, and the most common comorbidities were hypertension, diabetes, and cardiovascular disease. HRQOL was significantly different based on the number of comorbidities (F = 9.83, p < 0.001). The effect of comorbidities on the scores for mental health domains of the HRQOL questionnaire was not conclusive compared with the scores for the physical domain which were conclusive. Among the comorbidities, diabetes was associated with a lower quality of life.

Conclusion

The customized management of diabetic and hypertensive patients is necessary for the early detection and prevention of chronic kidney disease, and slowing the progression of renal disease and managing cardiovascular risk factors is essential.

Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel

This study aimed to identify the prevalence and patterns of multimorbidity among Korean adults. A descriptive study design was used. Of 11,232 adults aged 18 and older extracted from the 2014 Korean Health Panel Survey, 7118 had one or more chronic conditions. The chronic conditions code uses the Korean Standard Classification of Diseases. Association rule analysis and network analysis were conducted to identify patterns of multimorbidity among 4922 participants with multimorbidity. The prevalence of multimorbidity in the overall population was 34.8%, with a higher prevalence among women (40.8%) than men (28.6%). Hypertension had the highest prevalence in both men and women. In men, diabetes mellitus and hypertension yielded the highest probability of comorbidity (10.04%). In women, polyarthrosis and hypertension yielded the highest probability of comorbidity (12.51%). The results of the network analysis in four groups divided according to gender and age showed different characteristics for each group. Public health practitioners should adopt an integrated approach to manage multimorbidity rather than an individual disease-specific approach, along with different strategies according to age and gender groups.

The Effect of Usual Source of Care on the Association of Annual Healthcare Expenditure with Patients' Age and Chronic Disease Duration

Along with rapid population aging, the importance of chronic disease management increases with high growth of national healthcare expenditures, and efficient spending on healthcare is required to reduce unnecessary utilizations. For that reason, this study examined the association of annual healthcare expenditure with age and disease duration of chronic patients. Furthermore, the study investigated the effect of usual source of care (USOC) to suggest directions for preventive management of chronic disease. Using Korean Health Panel Study data, this study selected 1481 outpatients, who had out-of-pocket costs for hypertension or diabetes, and their total healthcare and chronic disease management (CDM) costs were examined. With patient aging, CDM cost decreased while the total healthcare cost increased, but longer duration of hypertension or diabetes resulted in increases in both CDM and total healthcare costs. In addition, the moderating effect of USOC indicated that elderly patients had increased CDM costs when they had a regular site for healthcare. In contrast, patients with longer duration had reductions in both CDM and total healthcare costs while having a regular doctor increased CDM cost. The results of this study could be an evidence for future policies to suggest proper preventive management plans for specific subjects.

[Identifying Latent Classes of Risk Factors for Coronary Artery Disease]

PURPOSE

This study aimed to identify latent classes based on major modifiable risk factors for coronary artery disease.

METHODS

This was a secondary analysis using data from the electronic medical records of 2,022 patients, who were newly diagnosed with coronary artery disease at a university medical center, from January 2010 to December 2015. Data were analyzed using SPSS version 20.0 for descriptive analysis and Mplus version 7.4 for latent class analysis.

RESULTS

Four latent classes of risk factors for coronary artery disease were identified in the final model: 'smoking-drinking', 'high-risk for dyslipidemia', 'high-risk for metabolic syndrome', and 'high-risk for diabetes and malnutrition'. The likelihood of these latent classes varied significantly based on socio-demographic characteristics, including age, gender, educational level, and occupation.

CONCLUSION

The results showed significant heterogeneity in the pattern of risk factors for coronary artery disease. These findings provide helpful data to develop intervention strategies for the effective prevention of coronary artery disease. Specific characteristics depending on the subpopulation should be considered during the development of interventions.