Multimorbidity Patterns of Chronic Diseases among Indonesians: Insights from Indonesian National Health Insurance (INHI) Sample Data

Treatment Nonadherence among Multimorbid Chronic Disease Patients: Evidence from 3515 Subjects in Indonesia

Background and Objectives: Multimorbid patients require intensive treatment for their diseases. However, little research has been given to their treatment adherence as part of its management. This study aims to determine the prevalence and characteristics of chronic disease multimorbidity in Indonesia, alongside its treatment nonadherence. Materials and Methods: We conducted a cross-sectional study using the fifth Indonesian Family Life Survey database among adult subjects aged ≥ 15 years with multimorbidity. Our descriptive and multivariate analyses include sex, age, formal education, ethnicity, geographic residence, demographic residence, household size, insurance ownership, annual income, current self-perceived health status, missing active days, smoking behavior, and body mass index. Results: We identified 3515 multimorbid patients, constituting 30.8% prevalence across chronic disease patients. Hypertension was found to be a prevalent component of multimorbidity (61.2%), followed by digestive diseases (44.5%) and arthritis (30.3%). We identified that 36.4% of the subjects were nonadherent to their chronic disease treatment. Characteristics associated with nonadherence were found to be a good self-perception of health (aOR 1.79, 95% CI 1.54-2.08), active smoking behavior (aOR 1.51, 95% CI 1.14-1.99), no smoking behavior (aOR 1.44, 95% CI 1.08-1.90), missing seven active/productive days or less in the past month due to poor health (aOR 1.36, 95% CI 1.10-1.68), no insurance ownership (aOR 1.20, 95% CI 1.04-1.39), age of 15-65 years (aOR 1.25, 95% CI 1.01-1.55), income below IDR 40 million (aOR 1.23, 95% CI 1.04-1.46), and household size of 2-6 people (aOR 1.17, 95% CI 1.01-1.36). Conclusions: While the prevalence of multimorbidity in Indonesia is generally similar to that observed in previous studies, we have identified patient characteristics related to nonadherence. We suggest that patient's nonadherence was primarily dictated by their self-perception of health and treatment complexity. With the longstanding issue of nonadherence, this study indicated the need to consider creating patient-tailored treatment programs in clinical practice to improve adherence by considering individual patients' characteristics.

The impact of multimorbidity among adults with cardiovascular diseases on healthcare costs in Indonesia: a multilevel analysis

BACKGROUND

Cardiovascular diseases (CVDs) are the leading cause of death in Indonesia, accounting for 38% of the total mortality in 2019. Moreover, healthcare spending on CVDs has been at the top of the spending under the National Health Insurance (NHI) implementation. This study analyzed the association between the presence of CVDs with or without other chronic disease comorbidities and healthcare costs among adults (> 30 years old) and if the association differed between NHI members in the subsidized group (poorer) and non-subsidized households group (better-off) in Indonesia.

METHODS

This retrospective cohort study analyzed the NHI database from 2016-2018 for individuals with chronic diseases (n = 271,065) ascertained based on ICD-10 codes. The outcome was measured as healthcare costs in USD value for 2018. We employed a three-level multilevel linear regression, with individuals at the first level, households at the second level, and districts at the third level. The outcome of healthcare costs was transformed with an inverse hyperbolic sine to account for observations with zero costs and skewed data. We conducted a cross-level interaction analysis to analyze if the association between individuals with different diagnosis groups and healthcare costs differed between those who lived in subsidized and non-subsidized households.

RESULTS

The mean healthcare out- and inpatient costs were higher among patients diagnosed with CVDs and multimorbidity than patients with other diagnosis groups. The predicted mean outpatient costs for patients with CVDs and multimorbidity were more than double compared to those with CVDs but no comorbidity (USD 119.5 vs USD 49.1, respectively for non-subsidized households and USD 79.9 vs USD 36.7, respectively for subsidized households). The NHI household subsidy status modified relationship between group of diagnosis and healthcare costs which indicated a weaker effect in the subsidized household group (β = -0.24, 95% CI -0.29, -0.19 for outpatient costs in patients with CVDs and multimorbidity). At the household level, higher out- and inpatient costs were associated with the number of household members with multimorbidity. At the district level, higher healthcare costs was associated with the availability of primary healthcare centres.

CONCLUSIONS

CVDs and multimorbidity are associated with higher healthcare costs, and the association is stronger in non-subsidized NHI households. Households' subsidy status can be construed as indirect socioeconomic inequality that hampers access to healthcare facilities. Efforts to combat cardiovascular diseases (CVDs) and multimorbidity should consider their distinct impacts on subsidized households. The effort includes affirmative action on non-communicable disease (NCD) management programs that target subsidized households from the early stage of the disease.

Findings from the Indonesian family life survey on patterns and factors associated with multimorbidity

The prevalence of multimorbidity tends to increase with age, but it is now also reported in the middle-aged population, which has a negative impact on healthcare systems and health outcomes. This study aims to analyze the patterns and factors associated with multimorbidity in Indonesia. This national cross-sectional population-based survey used publicly available data from the Indonesian Family Life Survey (IFLS-5) for 2014 among middle-aged (40-59 years old) and elderly (≥ 60 years old) respondents. Information on all chronic diseases was assessed using a self-reported questionnaire. Sociodemographic and health-related behavioral factors were obtained from self-reported data. Binary logistic regression analysis was used to identify the factors associated with multimorbidity. Adjusted odds ratios (AORs) with 95% confidence intervals (CIs) were reported. The study recruited 11,867 respondents. The prevalence of multimorbidity was 18.6% (95% CI 17.9-19.3) with which 15.6% among middle age (95% CI 14.95-16.25) and 24.9% among the elderly (95% CI 24.12-25.68). Hypertension was the most commonly reported disease (23.2%) in all combinations of multimorbidity and among all age groups. Socio-demographic factors: elderly (AOR: 1.66; 95% CI 1.46-1.89), female (AOR: 1.42; 95% CI 1.20-1.69), living in the urban area (AOR: 1.22; 95% CI 1.09-1.38), higher educational level (AOR: 2.49; 95% CI 1.91-3.26), unemployed (AOR: 1.63; 95% CI 1.44-1.84), and higher economic level (AOR: 1.41; 95% CI 1.18-1.68) were associated with multimorbidity. Poor health behavior factors: being former smokers (AOR: 2.03; 95% CI 1.65-2.51) and obesity (AOR: 1.53; 95% CI 1.35-1.75) were also associated with multimorbidity. The prevalence of multimorbidity in the middle-aged and elderly population in Indonesia is relatively high, particularly in populations with poor health behaviors. Therefore, healthcare professionals should integrate more patient-specific factors when designing and implementing tailored interventions to manage multimorbidity in Indonesia.

Effects of social capital on healthcare utilization among older adults in Indonesia

Social capital potentially affects older adults' access to healthcare services. However, the effects of social capital on the use of various types of healthcare services using longitudinal data have yet to be explored. This study aimed to examine the effects of structural and cognitive social capital on different types of healthcare utilization by older adults in Indonesia. Data were from the Indonesian Family Life Survey (waves 4 and 5) in 2007 and 2014. The sample consisted of participants aged 60 years and older who completed both waves (n = 1374). Healthcare utilization by older adults assessed health posts (posyandu), health checkups, outpatient care and hospital admissions. Social capital consisted of neighborhood trust and community participation. Generalized estimating equation models were used for the analysis. Older adults with high community participation had a higher likelihood of using preventive care in posyandu (OR = 5.848, 95% CI = 2.585-13.232) and health checkup visits (OR = 1.621, 95% CI = 1.116-2.356). Meanwhile, neighborhood trust was related to a higher probability of hospital admissions (OR = 1.255, 95% CI = 1.046-1.505). Social capital significantly affects older adults' preventive and treatment healthcare utilization. Maximizing the availability of social participation and removing barriers to access to preventive and medical care in an age-friendly environment are suggested.

What Do Seniors Believe About Medication Adherence? A Qualitative Study Among Seniors with Chronic Conditions in Yogyakarta, Indonesia

PURPOSE

This qualitative study elicited beliefs about medication adherence among hypertensive seniors with polypharmacy.

METHODS

Twenty-one participants aged 60 or older with hypertension and other chronic conditions, with or without their family caregivers, residing surrounding Yogyakarta province, using five medicines or more routinely, were semi-structuredly interviewed by one researcher or one research assistant in January to April 2022. Behavioral, normative, and control beliefs were elicited using an interview guideline which was developed based on the Theory of Planned Behavior approach. Thematic analysis was applied.

RESULTS

The participants believed that taking medicines routinely was advantageous because the medicines kept their body in good condition and prevented disease worsening. However, there were concerns about the medications' harmful effects on kidneys, gastric, and the whole body, and that the medicines would not be effective anymore. Prescribers, family, and friends would likely approve of medication adherence. However, non-prescriber doctors, family, and neighbors, mainly those with experience with complementary/alternative medicines, would likely disapprove of medication adherence. Good physical and cognitive function, help from family and technology, mealtime regularity, a simple regimen and easy-to-read medication labeling, and good communication with prescribers were among the facilitators of medication adherence. Physical and cognitive decline, mealtime irregularity, tablets that must be cut before taken, insurance that does not cover all medicines, change in dosage regimen, and hard-to-tear-off medication packaging were among the barriers to medication adherence.

CONCLUSION

Understanding these beliefs yields insights into the health communication approaches to improving seniors' medication adherence.

Effect of multimorbidity on utilisation and out-of-pocket expenditure in Indonesia: quantile regression analysis

BACKGROUND

Multimorbidity (the presence of two or more non-communicable diseases) is a major growing challenge for many low-income and middle-income countries (LMICs). Yet, its effects on health care costs and financial burden for patients have not been adequately studied. This study investigates the effect of multimorbidity across the different percentiles of healthcare utilisation and out-of-pocket expenditure (OOPE).

METHODS

We conducted a secondary data analysis of the 2014/2015 Indonesian Family Life Survey (IFLS-5), which included 13,798 respondents aged ≥40 years. Poisson regression was used to assess the association between sociodemographic characteristics and the total number of non-communicable diseases (NCDs), while multivariate logistic regression and quantile regression analysis was used to estimate the associations between multimorbidity, health service use and OOPE.

RESULTS

Overall, 20.8% of total participants had two or more NCDs in 2014/2015. The number of NCDs was associated with higher healthcare utilisation (coefficient 0.11, 95% CI 0.07-0.14 for outpatient care and coefficient 0.09 (95% CI 0.02-0.16 for inpatient care) and higher four-weekly OOPE (coefficient 27.0, 95% CI 11.4-42.7). The quantile regression results indicated that the marginal effect of having three or more NCDs on the absolute amount of four-weekly OOPE was smaller for the lower percentiles (at the 25th percentile, coefficient 1.0, 95% CI 0.5-1.5) but more pronounced for the higher percentile of out-of-pocket spending distribution (at the 90th percentile, coefficient 31.0, 95% CI 15.9-46.2).

CONCLUSION

Multimorbidity is positively correlated with health service utilisation and OOPE and has a significant effect, especially among those in the upper tail of the utilisation/costs distribution. Health financing strategies are urgently required to meet the needs of patients with multimorbidity, particularly for vulnerable groups that have a higher level of health care utilisation.