ORCID Profile
0000-0003-0556-1483
Current Organisations
Umeå University
,
University of Gothenburg
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Publisher: Public Library of Science (PLoS)
Date: 04-06-2015
Publisher: Oxford University Press (OUP)
Date: 12-2012
DOI: 10.1093/IJE/DYS210
Publisher: Springer Science and Business Media LLC
Date: 12-2015
Publisher: Springer Science and Business Media LLC
Date: 31-08-2017
Publisher: Informa UK Limited
Date: 26-09-2010
Publisher: Springer Science and Business Media LLC
Date: 06-02-2015
Publisher: Oxford University Press (OUP)
Date: 18-02-2017
DOI: 10.1093/AJE/KWW125
Publisher: Frontiers Media SA
Date: 28-11-2018
Publisher: BMJ
Date: 12-2017
Publisher: Informa UK Limited
Date: 26-10-2021
Publisher: Springer Science and Business Media LLC
Date: 15-09-2023
Publisher: BMJ
Date: 02-2021
DOI: 10.1136/BMJOPEN-2020-041870
Abstract: To examine non-communicable diseases (NCDs) multimorbidity level and its relation to households’ socioeconomic characteristics, health service use, catastrophic health expenditures and productivity loss. This study used panel data of the Indonesian Family Life Survey conducted in 2007 (Wave 4) and 2014 (Wave 5). The original s ling frame was based on 13 out of 27 provinces in 1993, representing 83% of the Indonesian population. We included respondents aged 50 years and above in 2007, excluding those who did not participate in both Waves 4 and 5. The total number of participants in this study are 3678 respondents. We examined three main outcomes health service use (outpatient and inpatient care), financial burden (catastrophic health expenditure) and productivity loss (labour participation, days primary activity missed, days confined in bed). We applied multilevel mixed-effects regression models to assess the associations between NCD multimorbidity and outcome variables, Women were more likely to have NCD multimorbidity than men and the prevalence of NCD multimorbidity increased with higher socioeconomic status. NCD multimorbidity was associated with a higher number of outpatient visits (compared with those without NCD, incidence rate ratio (IRR) 4.25, 95% CI 3.33 to 5.42 for in iduals with NCDs) and inpatient visits (IRR 3.68, 95% CI 2.21 to 6.12 for in iduals with NCDs). NCD multimorbidity was also associated with a greater likelihood of experiencing catastrophic health expenditure (for NCDs, adjusted OR (aOR) 1.69, 95% CI 1.02 to 2.81) and lower participation in the labour force (aOR 0.23, 95% CI 0.16 to 0.33) compared with no NCD. NCD multimorbidity is associated with substantial direct and indirect costs to in iduals, households and the wider society. Our study highlights the importance of preparing health systems for addressing the burden of multimorbidity in low-income and middle-income countries.
Publisher: Springer Science and Business Media LLC
Date: 17-09-2022
DOI: 10.1186/S12913-022-08546-6
Abstract: Indonesia is in the middle of a rapid epidemiological transition with an ageing population and increasing exposure to risk factors for chronic conditions. This study examines the relative impacts of obesity, tobacco consumption, and physical inactivity, on non-communicable diseases multimorbidity, health service use, catastrophic health expenditure (CHE), and loss in employment productivity in Indonesia. Secondary analyses were conducted of cross-sectional data from adults aged ≥ 40 years ( n = 12,081) in the Indonesian Family Life Survey 2014/2015. We used propensity score matching to assess the associations between behavioural risk factors and health service use, CHE, employment productivity, and multimorbidity. Being obese, overweight and a former tobacco user was associated with a higher number of chronic conditions and multimorbidity ( p 0.05). Being a former tobacco user contributed to a higher number of outpatient and inpatient visits as well as CHE incidences and work absenteeism. Physical inactivity relatively increased the number of outpatient visits (30% increase, p 0.05) and work absenteeism (21% increase, P 0.06). Although being underweight was associated with an increased outpatient care utilisation (23% increase, p 0.05), being overweight was negatively associated with CHE incidences (50% decrease, p 0.05). Combined together, obesity, overweight, physical inactivity and tobacco use contributed to an increased number of NCDs as well as medical costs and productivity loss in Indonesia. Interventions addressing physical and behavioural risk factors are likely to have substantial benefits for in iduals and the wider society in Indonesia.
Publisher: MDPI AG
Date: 14-04-2019
Abstract: The low- and middle-income countries (LMICs) are experiencing rapid population ageing, yet knowledge about disability among older populations in these countries is scarce. This study aims to identify the prevalence and factors associated with disability among people aged 50 years and over in six LMICs. Cross-sectional data from the World Health Organization (WHO) Study on global AGEing and adult health Wave 1 (2007–2010) in China, Ghana, India, Mexico, the Russian Federation, and South Africa was used. Multivariable logistic regression analyses were undertaken to examine the association between sociodemographic factors, health behaviours, chronic conditions, and activities of daily living (ADL) disability. The prevalence of disability among older adults ranged from 16.2% in China to 55.7% in India. Older age, multimorbidity, and depression were the most common factors related to disability in all six countries. Gender was significant in China (OR = 1.14, 95% CI: 1.01–1.29), Ghana (OR = 1.22, 95% CI: 1.01–1.48) and India (OR = 1.65, 95% CI: 1.37–1.99). Having no access to social capital was significantly associated with ADL disability in China (OR = 2.57, 95% CI: 1.54–4.31) and South Africa (OR = 4.11, 95% CI: 1.79–9.43). Prevalence data is valuable in these six ageing countries, with important evidence on mitigating factors for each. Identifying determinants associated with ADL disability among older people in LMICs can inform how to best implement health prevention programmes considering different country-specific factors.
Publisher: Springer Science and Business Media LLC
Date: 05-05-2021
DOI: 10.1186/S12913-021-06446-9
Abstract: 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). 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. 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). 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.
No related grants have been discovered for Nawi Ng.