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NTU 620 HEPI Lab
Home
Team Members
Research Grant
Publications
Research Projects
AI and Machine learning
Physical-mental multimorbidity
Economics of Multimorbidity
Chronic condition in Singapore
Cost effectiveness analysis of intervention
Pay-for-performance
NHS Health checks
Health Workforce Planning Model
Quality of care in India
Other Research Projects
Minority health
Reproductive, Maternal, and Child health
Physical Activitiyes
Out-of-pocket expenditure for medicine
Disability and Multimorbidity
Innovative Health Financing
Health system performance evaluation
Multimorbidity and comorbidity
Indonesia Health system reform and JKN
User fee and patient cost sharing
Economic recession and health
Economics of Tobacco
Cancer screening
Media Coverage
Educational Program
NTU 620 HEPI Lab
Home
Team Members
Research Grant
Publications
Research Projects
AI and Machine learning
Physical-mental multimorbidity
Economics of Multimorbidity
Chronic condition in Singapore
Cost effectiveness analysis of intervention
Pay-for-performance
NHS Health checks
Health Workforce Planning Model
Quality of care in India
Other Research Projects
Minority health
Reproductive, Maternal, and Child health
Physical Activitiyes
Out-of-pocket expenditure for medicine
Disability and Multimorbidity
Innovative Health Financing
Health system performance evaluation
Multimorbidity and comorbidity
Indonesia Health system reform and JKN
User fee and patient cost sharing
Economic recession and health
Economics of Tobacco
Cancer screening
Media Coverage
Educational Program
More
Home
Team Members
Research Grant
Publications
Research Projects
AI and Machine learning
Physical-mental multimorbidity
Economics of Multimorbidity
Chronic condition in Singapore
Cost effectiveness analysis of intervention
Pay-for-performance
NHS Health checks
Health Workforce Planning Model
Quality of care in India
Other Research Projects
Minority health
Reproductive, Maternal, and Child health
Physical Activitiyes
Out-of-pocket expenditure for medicine
Disability and Multimorbidity
Innovative Health Financing
Health system performance evaluation
Multimorbidity and comorbidity
Indonesia Health system reform and JKN
User fee and patient cost sharing
Economic recession and health
Economics of Tobacco
Cancer screening
Media Coverage
Educational Program
Multimorbidity and comorbidity
Association of Oral Health with Multimorbidity among Older Adults: Findings from the Longitudinal Ageing Study in India, Wave-1, 2017–2019
India is witnessing an increase in the prevalence of multimorbidity. Oral health is related to overall health but is seldom included in the assessment of multimorbidity. Hence, this study aimed to estimate the prevalence of oral morbidity and explore its association with physical multimorbidity using data from Longitudinal Ageing Study in India (LASI). LASI is a nationwide survey amongst adults aged ≥ 45 years conducted in 2018. Descriptive analysis was performed on included participants (n = 59,764) to determine the prevalence of oral morbidity. Multivariable logistic regression assessed the association between oral morbidity and physical multimorbidity. Self-rated health was compared between multimorbid participants with and without oral morbidity. Oral morbidity was prevalent in 48.56% of participants and physical multimorbidity in 50.36%. Those with multimorbidity were at a higher risk of having any oral morbidity (AOR: 1.60 (1.48–1.73)) than those without multimorbidity. Participants who had only oral morbidity rated their health to be good more often than those who had physical multimorbidity and oral morbidity (40.84% vs. 32.98%). Oral morbidity is significantly associated with physical multimorbidity. Multimorbid participants perceived their health to be inferior to those with only oral morbidity. The findings suggest multidisciplinary health teams in primary care should include the management of oral morbidity and physical multimorbidity.
Family-Level Multimorbidity among Older Adults in India: Looking through a Syndemic Lens
Most evidence on multimorbidity is drawn from an individual level assessment despite the fact that multimorbidity is modulated by shared risk factors prevailing within the household environment. Our study reports the magnitude of family-level multimorbidity, its correlates, and healthcare expenditure among older adults using data from the Longitudinal Ageing Study in India (LASI), wave-1. LASI is a nationwide survey amongst older adults aged ≥45 years conducted in 2017–2018. We included (n = 22,526) families defined as two or more members coresiding in the same household. We propose a new term, “family-level multimorbidity”, defined as two or more members of a family having multimorbidity. Multivariable logistic regression was used to assess correlates, expressed as adjusted odds ratios with a 95% confidence interval. Family-level multimorbidity was prevalent among 44.46% families, whereas 41.8% had conjugal multimorbidity. Amongst siblings, 42.86% reported multimorbidity and intergenerational (three generations) was 46.07%. Family-level multimorbidity was predominantly associated with the urban and affluent class. Healthcare expenditure increased with more multimorbid individuals in a family. Our findings depict family-centred interventions that may be considered to mitigate multimorbidity. Future studies should explore family-level multimorbidity to help inform programs and policies in strategising preventive as well as curative services with the family as a unit.
Patients with more comorbidities have better detection of chronic conditions, but poorer management and control: findings from six middle-income countries - BMC Public Health
Background The burden of non-communicable diseases (NCDs) is rising rapidly in middle-income countries (MICs), where NCDs are often undiagnosed, untreated and uncontrolled. How comorbidity impacts diagnosis, treatment, and control of NCDs is an emerging area of research inquiry and have important clinical implications as highlighted in the recent National Institute for Health and Care Excellence guidelines for treating patients suffering from multiple NCDs. This is the first study to examine the association between increasing numbers of comorbidities with being undiagnosed, untreated, and uncontrolled for NCDs, in 6 large MICs. Methods Cross-sectional analysis of the World Health Organisation Study of Global Ageing and Adult Health (WHO SAGE) Wave 1 (2007–10), which consisted of adults aged ≥18 years from 6 populous MICs, including China, Ghana, India, Mexico, Russia and South Africa (overall n = 41, 557). Results A higher number of comorbidities was associated with better odds of diagnosis for hypertension, angina, and arthritis, and higher odds of having treatment for hypertension and angina. However, more comorbidities were associated with increased odds of uncontrolled hypertension, angina, arthritis, and asthma. Comorbidity with concordant conditions was associated with improved diagnosis and treatment of hypertension and angina. Conclusion Patients with more comorbidities have better diagnosis of chronic conditions, but this does not translate into better management and control of these conditions. Patients with multiple NCDs are high users of health services and are at an increased risk of adverse health outcomes. Hence, improving their access to care is a priority for healthcare systems.
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