Title of article :
Estimation and Prediction of Avoidable Health Care Costs of Cardiovascular Diseases and Type 2 Diabetes Through Adequate Dairy Food Consumption: A Systematic Review and Micro Simulation Modeling Study
Author/Authors :
Javanbakht, Mehdi Institute of Health & Society - Newcastle University, UK , Jamshidi, Ahmad Reza Tehran University of Medical Sciences, Tehran , Baradaran, Hamid Reza Iran University of Medical Sciences , Mohammadi, Zahra Tehran University of Medical Sciences, Tehran , Mashayekhi, Atefeh Institute of Health & Society - Newcastle University, UK , Shokraneh, Farhad University of Nottingham, UK , Rezai Hamami, Mohsen University of Glasgow, UK , Yazdani Bakhsh, Raziyeh Isfahan University of Medical Sciences, Isfahan , Shabaninejad, Hossien Department of Health Services Management - School of Health Management and Information Sciences - Iran University of Medical Sciences , Delavari, Sajad School of Management & Information Sciences - Shiraz University of Medical Sciences, Shiraz , Tehrani, Arash Iran University of Medical Sciences
Pages :
10
From page :
213
To page :
222
Abstract :
Background: Recent evidence from prospective cohort studies show a relationship between consumption of dairy foods and cardiovascular diseases (CVDs) and type 2 diabetes mellitus (T2DM). This association highlights the importance of dairy foods consumption in prevention of these diseases and also reduction of associated healthcare costs. The aim of this study was to estimate avoidable healthcare costs of CVD and T2D through adequate dairy foods consumption in Iran. Methods: This was a multistage modelling study. We conducted a systematic literature review in PubMed and EMBASE to identify any association between incidence of CVD and T2DM and dairy foods intake, and also associated relative risks. We obtained age- and sex-specific dairy foods consumption level and healthcare expenditures from national surveys and studies. Patient level simulation Markov models were constructed to predict the disease incidence, patient population size and associated healthcare costs for current and optimal dairy foods consumption at different time horizons (1, 5, 10 and 20 years). All parameters including costs and transition probabilities were defined as statistical distributions in the models, and all analyses were conducted by accounting for first and second order uncertainty. Results: The systematic review results indicated that dairy foods consumption was inversely associated with incidence of T2DM, coronary heart disease (CHD) and stroke. We estimated that the introduction of a diet containing 3 servings of dairy foods per day may produce a $0.43 saving in annual per capita healthcare costs in Iran in the first year due to saving in cost of CVD and T2DM treatment. The estimated savings in per capita healthcare costs were $8.42, $39.97 and $190.25 in 5, 10 and 20-years’ time, respectively. Corresponding total aggregated avoidable costs for the entire Iranian population within the study time horizons were $33.83, $661.31, $3,138.21 and $14,934.63 million, respectively. Conclusion: Our analysis demonstrated that increasing dairy foods consumption to recommended levels would be associated with reductions in healthcare costs. Further randomized trial studies are required to investigate the effect of dairy foods intake on cost of CVD and T2DM in the population.
Keywords :
Avoidable cost , Cardiovascular diseases , Dairy foods , Diabetes , Iran , Markov model
Journal title :
Astroparticle Physics
Serial Year :
2018
Record number :
2446122
Link To Document :
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