Cost-effectiveness analysis of lifestyle interventions for preventing kidney disease in patients with type 2 diabetes
Cost-effectiveness analysis of lifestyle interventions for preventing kidney disease in patients with type 2 diabetes
复制标题
生活方式干预预防2型糖尿病患者肾脏疾病的成本效益分析
DOI:
10.1007/s10157-023-02357-7
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发表时间:
2023
影响因子:
2.3
通讯作者:
Fukuda Takashi
中科院分区:
文献类型:
--
作者:
Suzuki Yuta;Hoshi Keika;Shiroiwa Takeru;Fukuda Takashi
BackgroundLifestyle interventions in patients with type-2 diabetes contribute to reducing the incidence of chronic kidney disease. The cost-effectiveness of lifestyle interventions to prevent kidney disease in patients with type-2 diabetes remains undetermined. We aimed to develop a Markov model from a Japanese healthcare payer’s perspective focusing on the development of kidney disease in patients with type-2 diabetes and examine the cost-effectiveness of lifestyle interventions.MethodsTo develop the model, the parameters, including lifestyle intervention effect, were derived from results of the Look AHEAD trial and previously published literature. Incremental cost-effectiveness ratios (ICER) were calculated from the difference in cost and quality-adjusted life years (QALY) between lifestyle intervention and diabetes support education groups. We estimated lifetime costs and effectiveness assuming patient’s life span to be 100 years. Costs and effectiveness were discounted by 2% annually.ResultsICER for lifestyle intervention compared to diabetes support education was JPY 1,510,838 (USD 13,031) per QALY. Cost-effectiveness acceptability curve showed that the probability that lifestyle intervention is cost-effective at the threshold of JPY 5,000,000 (USD 43,084) per QALY gained, compared to diabetes support education, is 93.6%.ConclusionsUsing a newly-developed Markov model, we illustrated that lifestyle interventions for preventing kidney disease in patients with diabetes would be more cost-effective from a Japanese healthcare payer’s perspective compared to diabetes support education. The model parameters in the Markov model must be updated to adapt to the Japanese setting.
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影响因子:
44.5
作者:
Knowler, W. C.;Bahnson, J. L.;Bantle, J. P.;Bertoni, A. G.;Bray, G. A.;Chen, H.;Cheskin, L.;Clark, J. M.;Egan, C.;Evans, M.;Foreyt, J. P.;Glasser, S. P.;Greenway, F. L.;Gregg, E. W.;Hazuda, H. P.;Hill, J. O.;Horton, E. S.;Hubbard, V. S.;Jakicic, J. M.;Jeffery, R. W.;Johnson, K. C.;Kahn, S. E.;Kitabchi, A. E.;Korytkowski, M.;Krakoff, J.;Kure, A.;Lewis, C. E.;Maschak-Carey, B. J.;Michaels, S.;Montez, M. G.;Nathan, D. M.;Nyenwe, E.;Patricio, J.;Peters, A.;Pi-Sunyer, X.;Pownall, H.;Wadden, T. A.;Wagenknecht, L. E.;Williamson, D. F.;Wing, R. R.;Wyatt, H.;Yanovski, S. Z.
通讯作者:
Yanovski, S. Z.
影响因子:
24
作者:
Cohen, David J.;Reynolds, Matthew R.
通讯作者:
Reynolds, Matthew R.
影响因子:
3.2
作者:
S. Ikeda;Makoto Kobayashi;N. Tajima
通讯作者:
N. Tajima
影响因子:
16.2
作者:
H. Yokoyama;K. Kawai;M. Kobayashi
通讯作者:
M. Kobayashi
影响因子:
--
作者:
Wing, Rena R.;Bahnson, Judy L.;Bray, George A.;Clark, Jeanne M.;Coday, Mace;Egan, Caitlin;Espeland, Mark A.;Foreyt, John P.;Gregg, Edward W.;Goldman, Valerie;Haffner, Steven M.;Hazuda, Helen;Hill, James O.;Horton, Edward S.;Hubbard, Van S.;Jakicic, John;Jeffery, Robert W.;Johnson, Karen C.;Kahn, Steven;Killean, Tina;Kitabchi, Abbas E.;Lewis, Cora E.;Manus, Cathy;Maschak-Carey, Barbara J.;Michaels, Sara;Montez, Maria;Montgomery, Brenda;Nathan, David M.;Patricio, Jennifer;Peters, Anne;Pi-Sunyer, Xavier;Pownall, Henry;Reboussin, David;Rejeski, Jack;Rubin, Richard;Safford, Monika;Skarphol, Tricia;Van Dorsten, Brent;Wadden, Thomas A.;Wagenknecht, Lynne;Wesche-Thobaben, Jacqueline;West, Delia S.;Williamson, Donald;Yanovski, Susan Z.
通讯作者:
Yanovski, Susan Z.