Epidemiologic burden of hospitalisation for congestive heart failure among adults aged ≥19 years in the Philippines

Tumanan‐Mendoza, Bernadette A.; Mendoza, Victor L.; Santos, April Ann A Bermudez–Delos; Punzalan, Felix Eduardo R.; Pestaño, Noemi S.; Natividad, Rudy Boy; Shiu, L.A.; Macabeo, Renelene

doi:10.1136/heartasia-2016-010862

Cited by 8 publications

(8 citation statements)

References 11 publications

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“…Risk factors assessed in the NNS include hypertension, obesity, high cholesterol, and diabetes [6]. In 2014, there were 16 for every 1000 Filipino patients admitted due to a medical condition wherein hypertension was possibly the most common etiology factor [7]. Moreover, in the past decade it has been observed that there is a steady increase in the prevalence of high fasting blood glucose (FBG) from 3.4% in 2003 to 5.6% in 2013, and the prevalence is even higher among Filipino adults residing in urban areas (6.4%).…”

Section: Introductionmentioning

confidence: 99%

Dietary pattern and nutrient intakes in association with non-communicable disease risk factors among Filipino adults: a cross-sectional study

Angeles‐Agdeppa

Sun

Tanda

2020

Nutr J

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Background: This study evaluated the relationship between dietary quality and food patterns of Filipino adults and the rising prevalence of selected cardiometabolic non-communicable disease (NCD) risk factors. Methods: This is a cross-sectional study that examined the association of dietary pattern and NCDs using data collected in the 2013 National Nutrition Survey. A total of 19,914 adults aged 20 years and above were included in the analyses. The Alternative Healthy Eating Index (AHEI-2010) was used to characterize the dietary quality, and principal component analysis (PCA) was used to identify dietary patterns specific to the study population. Logistic regression models were applied to assess the association between the dietary pattern scores and selected cardiometabolic NCD indices including diabetes, hypertension, dyslipidemia and overweight and obesity with adjustment for potential confounders. Results: The mean AHEI-2010 score was 19.7 for women and 18.9 for men out of a total possible score of 100. Three major dietary patterns were identified through PCA: 1) meat and sweetened beverages (MSB); 2) rice and fish (RF) and 3) fruit, vegetables and snack (FVS). After adjustment for potential confounding factors, the AHEI pattern was associated with higher odds of overweight/obesity [extreme-tertile odds ratio (OR) 1.10, 95% confidence interval (CI) 1.02-1.21]. Subjects in the highest tertile of the MSB pattern had greater odds for overweight/obesity, diabetes, high total cholesterol, low HDL-cholesterol, high LDL-cholesterol, and high triglycerides (OR ranging 1.20 to 1.70, all p-value < 0.001). The RF pattern was associated with higher probability of overweight/obesity (OR 1.20, 95% CI 1.08-1.32) high LDL-cholesterol (OR 1.20, 95% CI 1.07-1.37), and less likelihood of diabetes (OR 0.87, 95% CI 0.77-0.98). The FVS pattern was associated with lower probability of overweight/obesity, diabetes, high triglycerides, and hypertension (OR ranging 0.85 to 0.90, all p-value < 0.05).

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Section: Introductionmentioning

confidence: 99%

Dietary pattern and nutrient intakes in association with non-communicable disease risk factors among Filipino adults: a cross-sectional study

Angeles‐Agdeppa

Sun

Tanda

2020

Nutr J

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“…In the Philippines, at least one companion/relative stays with the patient during the hospitalisation period, resulting to the said companion’s income loss. The mean age of the patients with CHF in the study was 52.6±15 years, with 48% of the study population in the 40–59 years age group,12 hence the following assumptions were used: (A) only the caretaker is economically productive; (B) both the caretaker and patient are economically productive; however, since the patient has CHF, even if he improved on discharge, he might not be 100% economically productive, hence the assumption of 50% economic productivity.…”

Section: Methodsmentioning

confidence: 99%

“…The reference time period was 2014 since the data for the prevalence of CHF hospitalisation12 was for 2014. The costs were expressed in Philippine peso (PHP) and converted to US dollars (US$) using the 2014 average conversion rate of PHP44.40 to US$1.00 18.…”

Section: Methodsmentioning

confidence: 99%

Economic burden of hospitalisation for congestive heart failure among adults in the Philippines

et al. 2018

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ObjectivesHospitalisation for congestive heart failure (CHF) was reported to be 1648 cases for every 100 000 patient claims in 2014 in the Philippines; however, there are no data regarding its economic impact. This study determined CHF hospitalisation cost and its total economic burden. It compared the healthcare-related hospitalisation cost from the societal perspective with the payer’s perspective, the Philippine Health Insurance Corporation (PhilHealth).MethodsThis is a cost analysis study. Data were obtained from representative government/private hospitals and a drugstore in all regions of the country. Healthcare costs included cost of diagnostics/treatment, professional fees and other CHF-related hospital charges, while non-healthcare costs included production losses, transportation and food expenses.ResultsThe overall mean healthcare-related cost for CHF hospitalisation (class III) in government hospitals in the Philippines in 2014 was PHP19 340–PHP28 220 (US$436–US$636). In private hospitals, it was PHP28 370–PHP41 800 (US$639–US$941). In comparison, PhilHealth’s coverage/CHF case rate payment is PHP15 700 (US$354). The mean non-healthcare cost was PHP10 700–PHP14 600 (US$241–US$329). Using PhilHealth’s case rate payment and the prevalence of CHF hospitalisation in 2014, the total economic burden was PHP691 522 200 (US$15 574 824). Using the study results on healthcare-related cost meant that the total economic burden for CHF hospitalisation would instead be PHP851 850 000–PHP1 841 563 000 (US$19 185 811–US$41 476 644).ConclusionsThe calculated healthcare-related hospitalisation cost for CHF in the Philippines in 2014 demonstrates the disparity between the actual cost and PhilHealth’s coverage. This implies a need for policymakers to review its coverage to make healthcare delivery affordable.

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“…Risk factors assessed in the NNS include hypertension, obesity, high cholesterol, and diabetes [5]. In 2014, there were 16 for every 1000 Filipino patients admitted due to a medical condition wherein hypertension was possibly the most common etiology factor [6]. Moreover, in the past decade it has been observed that there is a steady increase of the prevalence of high fasting blood glucose (FBG) from 3.4% in 2003 to 5.6% in 2013, and the prevalence is even higher among Filipino adults residing in urban areas (6.4%).…”

Section: Introductionmentioning

confidence: 99%

Dietary Pattern and Nutrient Intakes in Association with Non-Communicable Disease Risk Factors among Filipino Adults

Angeles‐Agdeppa¹,

Sun²,

Tanda³

2020

Preprint

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Background: This study evaluated the relationship between dietary quality and food patterns of Filipino adults and the rising prevalence of selected cardiometabolic non-communicable disease (NCD) risk factors. Methods: Using data collected in the 2013 National Nutrition Survey, a total of 19,914 adults aged 20 years and above were included in the analyses. The Alternative Healthy Eating Index (AHEI-2010) was used to characterize the dietary quality, and principal component analysis (PCA) was used to identify dietary patterns specific to the study population. Logistic regression models were applied to assess the association between the dietary pattern scores and selected cardiometabolic NCD indices including diabetes, hypertension, dyslipidemia and overweight and obesity with adjustment for potential confounders. Results: The mean AHEI-2010 score was 19.7 for women and 18.9 for men out of a total possible score of 100. Three major dietary patterns were identified through PCA: 1) meat and sweetened beverages (MSB); 2) rice and fish (RF) and 3) fruit, vegetables and snack (FVS). After adjustment for potential confounding factors, the AHEI pattern was associated with higher odds of overweight/obesity [extreme-tertile odds ratio (OR) 1.10, 95% confidence interval (CI) 1.02-1.21]. Subjects in the highest tertile of the MSB pattern had greater odds for overweight/obesity, diabetes, high total cholesterol, low HDL-cholesterol, high LDL-cholesterol, and high triglycerides (OR ranging 1.20 to 1.70, all p-value <0.001). The RF pattern was associated with higher probability of overweight/obesity (OR 1.20, 95% CI 1.08-1.32) high LDL-cholesterol (OR 1.20, 95% CI 1.07-1.37), and less likelihood of diabetes (OR 0.87, 95% CI 0.77-0.98). The FVS pattern was associated with lower probability of overweight/obesity, diabetes, high triglycerides, and hypertension (OR ranging 0.85 to 0.90, all p-value <0.05). Conclusions: Diet quality of Filipino adults is extremely poor. MSB and RF patterns were associated with a higher risk of cardiometabolic NCD indices, while FVS pattern was a better option to lower the risks. Identifying healthy and detrimental dietary patterns in the local diet could be informative for future local-based dietary recommendation and area-specific intervention programs. Keywords: Dietary pattern; AHEI; NCD; Adult

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Epidemiologic burden of hospitalisation for congestive heart failure among adults aged ≥19 years in the Philippines

Abstract: There were 16 cases of heart failure for every 1000 Filipino patients admitted due to a medical condition in 2014. Hypertension was possibly the most common aetiologic factor. Compared to western and Asia-Pacific countries, the local mortality rate was relatively higher.

Cited by 8 publications

References 11 publications

Dietary pattern and nutrient intakes in association with non-communicable disease risk factors among Filipino adults: a cross-sectional study

Dietary pattern and nutrient intakes in association with non-communicable disease risk factors among Filipino adults: a cross-sectional study

Economic burden of hospitalisation for congestive heart failure among adults in the Philippines

Dietary Pattern and Nutrient Intakes in Association with Non-Communicable Disease Risk Factors among Filipino Adults

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