2020
DOI: 10.1186/s12913-020-05297-0
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Does disease management for diabetic nephropathy reduce medical expenditure? Evidence from a three-period difference-in-differences analysis

Abstract: Background: To discriminatively evaluate the cost-saving effects of a disease management program for diabetic nephropathy patients through care process rectification and, subsequently, improved health outcomes. Methods: This study links public medical insurance claims data to the health records of a disease management program for diabetic nephropathy patients. To account for selection bias caused by the non-randomized allocation of the disease management program for diabetes patients, we adopted a fixed-effect… Show more

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Cited by 6 publications
(6 citation statements)
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“…Decreasing unnecessary hospitalizations can lower the cost of CKD [ 26 ]. A good follow-up of diabetic patients can prevent the progression of diabetic nephropathy [ 27 ], knowing that diabetes is causing 10% of the global health expenditure and kidney disease is one of the most expensive diabetic complications [ 28 ]. Our study has highlighted the impact of some factors such as age, diabetes, albuminuria and coronary artery disease on the total cost in CKD-ND patients.…”
Section: Discussionmentioning
confidence: 99%
“…Decreasing unnecessary hospitalizations can lower the cost of CKD [ 26 ]. A good follow-up of diabetic patients can prevent the progression of diabetic nephropathy [ 27 ], knowing that diabetes is causing 10% of the global health expenditure and kidney disease is one of the most expensive diabetic complications [ 28 ]. Our study has highlighted the impact of some factors such as age, diabetes, albuminuria and coronary artery disease on the total cost in CKD-ND patients.…”
Section: Discussionmentioning
confidence: 99%
“…Previous studies have recommended using propensity score weighting in the context of parametric Difference-in-Differences (DID) models to evaluate the causal effect of a policy or program [ 39 ]. Instead of dividing the study into two time periods—a practice employed in most DID analyses—following a previous study [ 40 ] we divided the study into three time periods: before the Pre-K period, during the Pre-K period, and after the Pre-K period. As we demonstrated Section 1.2 , one of the plausible pathways showing how Pre-K attendance affects children’s health outcomes can be separated into two processes: (a) detection of disease and (b) subsequent treatment for the disease.…”
Section: Methodsmentioning
confidence: 99%
“…In previous studies, we took advantage of the universal public health insurance scheme in Japan to overcome attrition and data quality limitations through the use of electronic administrative records [ 13 – 15 ]. In preliminary analyses, we found improvement of hemoglobin A1c, maintenance of renal function, and modification of patient behavior during a mean 1-year follow-up [ 13 , 14 ].…”
Section: Introductionmentioning
confidence: 99%
“…In preliminary analyses, we found improvement of hemoglobin A1c, maintenance of renal function, and modification of patient behavior during a mean 1-year follow-up [ 13 , 14 ]. We also found reduced cost during a mean 2-year follow-up that was attributable to amended treatment processes and improved prognosis of the disease [ 15 ]. However, the majority of the previous studies including ours had a short-term design, with an evaluation period of less than 3 years.…”
Section: Introductionmentioning
confidence: 99%