Costs of people with diabetes in relation to average glucose control: an empirical approach controlling for year of onset cohorts

Objective To estimate the impact of glycaemic control and time since diabetes diagnosis on care costs incurred by people with type 2 diabetes mellitus (T2DM). Research design and methods Random-effects linear regression models were run to test the impact of average glucose control (HbA1c) and time s...
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Autor*in:	Rodríguez-Sánchez, Beatriz [verfasserIn] Feenstra, Talitha L. [verfasserIn] Bilo, Henk J. G. [verfasserIn] Alessie, Rob. J. M. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Care costs Type 2 diabetes mellitus Average glucose control Diabetes treatment Diabetes duration Year of onset cohorts

Übergeordnetes Werk:	Enthalten in: The European journal of health economics - Berlin : Springer, 2001, 20(2019), 7 vom: 16. Mai, Seite 989-1000
Übergeordnetes Werk:	volume:20 ; year:2019 ; number:7 ; day:16 ; month:05 ; pages:989-1000

Links:	Volltext

DOI / URN:	10.1007/s10198-019-01072-z

Katalog-ID:	SPR009116923

Internformat


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245	1	0	\|a Costs of people with diabetes in relation to average glucose control: an empirical approach controlling for year of onset cohorts
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520			\|a Objective To estimate the impact of glycaemic control and time since diabetes diagnosis on care costs incurred by people with type 2 diabetes mellitus (T2DM). Research design and methods Random-effects linear regression models were run to test the impact of average glucose control (HbA1c) and time since diabetes diagnosis on total care spending in people with T2DM, adjusting for year of onset and other covariates. Two datasets were linked, Vektis (healthcare costs reimbursed by the Dutch mandatory health insurance) and Zodiac (clinical and sociodemographic data). The sample includes 22,612 observations, grouped in 5653 individuals from the Northern part of the Netherlands, covering 4 years (2008–2011). Results A 1% point increase in HbA1c is associated with a 2.2% higher total care costs. However, when treatment modality is included, the results are modified. A 1% point increase (11 mol/mol) in HbA1c is significantly associated with 3.4% higher total care costs for individuals without glucose-lowering treatment. Being treated with insulin is significantly associated with an increase in costs of 30–38% for every additional percentage point of HbA1c, depending on the covariates included. Without controlling for year of onset, an additional year of diabetes duration relates to 2.6% higher care costs, while this is 4.9% controlling for year of onset. The effect of HbA1c and diabetes duration differs between types of costs. Conclusion HbA1c, insulin treatment and diabetes duration are the main drivers of increasing care costs. The results signal the relevance of controlling for HbA1c together with treatment modality, diabetes duration and year of diagnosis effects.
650		4	\|a Care costs \|7 (dpeaa)DE-He213
650		4	\|a Type 2 diabetes mellitus \|7 (dpeaa)DE-He213
650		4	\|a Average glucose control \|7 (dpeaa)DE-He213
650		4	\|a Diabetes treatment \|7 (dpeaa)DE-He213
650		4	\|a Diabetes duration \|7 (dpeaa)DE-He213
650		4	\|a Year of onset cohorts \|7 (dpeaa)DE-He213
700	1		\|a Feenstra, Talitha L. \|e verfasserin \|4 aut
700	1		\|a Bilo, Henk J. G. \|e verfasserin \|4 aut
700	1		\|a Alessie, Rob. J. M. \|e verfasserin \|4 aut
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856	4	0	\|u https://dx.doi.org/10.1007/s10198-019-01072-z \|z lizenzpflichtig \|3 Volltext
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952			\|d 20 \|j 2019 \|e 7 \|b 16 \|c 05 \|h 989-1000

Indexfelder

author_variant	b r s brs t l f tl tlf h j g b hjg hjgb r j m a rjm rjma
matchkey_str	article:16187601:2019----::otopolwtdaeeirltotaeaelcscnrlnmiiaapoccn
hierarchy_sort_str	2019
bklnumber	44.05 44.10
publishDate	2019
allfields	10.1007/s10198-019-01072-z doi (DE-627)SPR009116923 (SPR)s10198-019-01072-z-e DE-627 ger DE-627 rakwb eng 610 ASE 44.05 bkl 44.10 bkl Rodríguez-Sánchez, Beatriz verfasserin aut Costs of people with diabetes in relation to average glucose control: an empirical approach controlling for year of onset cohorts 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective To estimate the impact of glycaemic control and time since diabetes diagnosis on care costs incurred by people with type 2 diabetes mellitus (T2DM). Research design and methods Random-effects linear regression models were run to test the impact of average glucose control (HbA1c) and time since diabetes diagnosis on total care spending in people with T2DM, adjusting for year of onset and other covariates. Two datasets were linked, Vektis (healthcare costs reimbursed by the Dutch mandatory health insurance) and Zodiac (clinical and sociodemographic data). The sample includes 22,612 observations, grouped in 5653 individuals from the Northern part of the Netherlands, covering 4 years (2008–2011). Results A 1% point increase in HbA1c is associated with a 2.2% higher total care costs. However, when treatment modality is included, the results are modified. A 1% point increase (11 mol/mol) in HbA1c is significantly associated with 3.4% higher total care costs for individuals without glucose-lowering treatment. Being treated with insulin is significantly associated with an increase in costs of 30–38% for every additional percentage point of HbA1c, depending on the covariates included. Without controlling for year of onset, an additional year of diabetes duration relates to 2.6% higher care costs, while this is 4.9% controlling for year of onset. The effect of HbA1c and diabetes duration differs between types of costs. Conclusion HbA1c, insulin treatment and diabetes duration are the main drivers of increasing care costs. The results signal the relevance of controlling for HbA1c together with treatment modality, diabetes duration and year of diagnosis effects. Care costs (dpeaa)DE-He213 Type 2 diabetes mellitus (dpeaa)DE-He213 Average glucose control (dpeaa)DE-He213 Diabetes treatment (dpeaa)DE-He213 Diabetes duration (dpeaa)DE-He213 Year of onset cohorts (dpeaa)DE-He213 Feenstra, Talitha L. verfasserin aut Bilo, Henk J. G. verfasserin aut Alessie, Rob. J. M. verfasserin aut Enthalten in The European journal of health economics Berlin : Springer, 2001 20(2019), 7 vom: 16. Mai, Seite 989-1000 (DE-627)320494462 (DE-600)2011428-X 1618-7601 nnns volume:20 year:2019 number:7 day:16 month:05 pages:989-1000 https://dx.doi.org/10.1007/s10198-019-01072-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2941 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.05 ASE 44.10 ASE AR 20 2019 7 16 05 989-1000
spelling	10.1007/s10198-019-01072-z doi (DE-627)SPR009116923 (SPR)s10198-019-01072-z-e DE-627 ger DE-627 rakwb eng 610 ASE 44.05 bkl 44.10 bkl Rodríguez-Sánchez, Beatriz verfasserin aut Costs of people with diabetes in relation to average glucose control: an empirical approach controlling for year of onset cohorts 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective To estimate the impact of glycaemic control and time since diabetes diagnosis on care costs incurred by people with type 2 diabetes mellitus (T2DM). Research design and methods Random-effects linear regression models were run to test the impact of average glucose control (HbA1c) and time since diabetes diagnosis on total care spending in people with T2DM, adjusting for year of onset and other covariates. Two datasets were linked, Vektis (healthcare costs reimbursed by the Dutch mandatory health insurance) and Zodiac (clinical and sociodemographic data). The sample includes 22,612 observations, grouped in 5653 individuals from the Northern part of the Netherlands, covering 4 years (2008–2011). Results A 1% point increase in HbA1c is associated with a 2.2% higher total care costs. However, when treatment modality is included, the results are modified. A 1% point increase (11 mol/mol) in HbA1c is significantly associated with 3.4% higher total care costs for individuals without glucose-lowering treatment. Being treated with insulin is significantly associated with an increase in costs of 30–38% for every additional percentage point of HbA1c, depending on the covariates included. Without controlling for year of onset, an additional year of diabetes duration relates to 2.6% higher care costs, while this is 4.9% controlling for year of onset. The effect of HbA1c and diabetes duration differs between types of costs. Conclusion HbA1c, insulin treatment and diabetes duration are the main drivers of increasing care costs. The results signal the relevance of controlling for HbA1c together with treatment modality, diabetes duration and year of diagnosis effects. Care costs (dpeaa)DE-He213 Type 2 diabetes mellitus (dpeaa)DE-He213 Average glucose control (dpeaa)DE-He213 Diabetes treatment (dpeaa)DE-He213 Diabetes duration (dpeaa)DE-He213 Year of onset cohorts (dpeaa)DE-He213 Feenstra, Talitha L. verfasserin aut Bilo, Henk J. G. verfasserin aut Alessie, Rob. J. M. verfasserin aut Enthalten in The European journal of health economics Berlin : Springer, 2001 20(2019), 7 vom: 16. Mai, Seite 989-1000 (DE-627)320494462 (DE-600)2011428-X 1618-7601 nnns volume:20 year:2019 number:7 day:16 month:05 pages:989-1000 https://dx.doi.org/10.1007/s10198-019-01072-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2941 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.05 ASE 44.10 ASE AR 20 2019 7 16 05 989-1000
allfields_unstemmed	10.1007/s10198-019-01072-z doi (DE-627)SPR009116923 (SPR)s10198-019-01072-z-e DE-627 ger DE-627 rakwb eng 610 ASE 44.05 bkl 44.10 bkl Rodríguez-Sánchez, Beatriz verfasserin aut Costs of people with diabetes in relation to average glucose control: an empirical approach controlling for year of onset cohorts 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective To estimate the impact of glycaemic control and time since diabetes diagnosis on care costs incurred by people with type 2 diabetes mellitus (T2DM). Research design and methods Random-effects linear regression models were run to test the impact of average glucose control (HbA1c) and time since diabetes diagnosis on total care spending in people with T2DM, adjusting for year of onset and other covariates. Two datasets were linked, Vektis (healthcare costs reimbursed by the Dutch mandatory health insurance) and Zodiac (clinical and sociodemographic data). The sample includes 22,612 observations, grouped in 5653 individuals from the Northern part of the Netherlands, covering 4 years (2008–2011). Results A 1% point increase in HbA1c is associated with a 2.2% higher total care costs. However, when treatment modality is included, the results are modified. A 1% point increase (11 mol/mol) in HbA1c is significantly associated with 3.4% higher total care costs for individuals without glucose-lowering treatment. Being treated with insulin is significantly associated with an increase in costs of 30–38% for every additional percentage point of HbA1c, depending on the covariates included. Without controlling for year of onset, an additional year of diabetes duration relates to 2.6% higher care costs, while this is 4.9% controlling for year of onset. The effect of HbA1c and diabetes duration differs between types of costs. Conclusion HbA1c, insulin treatment and diabetes duration are the main drivers of increasing care costs. The results signal the relevance of controlling for HbA1c together with treatment modality, diabetes duration and year of diagnosis effects. Care costs (dpeaa)DE-He213 Type 2 diabetes mellitus (dpeaa)DE-He213 Average glucose control (dpeaa)DE-He213 Diabetes treatment (dpeaa)DE-He213 Diabetes duration (dpeaa)DE-He213 Year of onset cohorts (dpeaa)DE-He213 Feenstra, Talitha L. verfasserin aut Bilo, Henk J. G. verfasserin aut Alessie, Rob. J. M. verfasserin aut Enthalten in The European journal of health economics Berlin : Springer, 2001 20(2019), 7 vom: 16. Mai, Seite 989-1000 (DE-627)320494462 (DE-600)2011428-X 1618-7601 nnns volume:20 year:2019 number:7 day:16 month:05 pages:989-1000 https://dx.doi.org/10.1007/s10198-019-01072-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2941 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.05 ASE 44.10 ASE AR 20 2019 7 16 05 989-1000
allfieldsGer	10.1007/s10198-019-01072-z doi (DE-627)SPR009116923 (SPR)s10198-019-01072-z-e DE-627 ger DE-627 rakwb eng 610 ASE 44.05 bkl 44.10 bkl Rodríguez-Sánchez, Beatriz verfasserin aut Costs of people with diabetes in relation to average glucose control: an empirical approach controlling for year of onset cohorts 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective To estimate the impact of glycaemic control and time since diabetes diagnosis on care costs incurred by people with type 2 diabetes mellitus (T2DM). Research design and methods Random-effects linear regression models were run to test the impact of average glucose control (HbA1c) and time since diabetes diagnosis on total care spending in people with T2DM, adjusting for year of onset and other covariates. Two datasets were linked, Vektis (healthcare costs reimbursed by the Dutch mandatory health insurance) and Zodiac (clinical and sociodemographic data). The sample includes 22,612 observations, grouped in 5653 individuals from the Northern part of the Netherlands, covering 4 years (2008–2011). Results A 1% point increase in HbA1c is associated with a 2.2% higher total care costs. However, when treatment modality is included, the results are modified. A 1% point increase (11 mol/mol) in HbA1c is significantly associated with 3.4% higher total care costs for individuals without glucose-lowering treatment. Being treated with insulin is significantly associated with an increase in costs of 30–38% for every additional percentage point of HbA1c, depending on the covariates included. Without controlling for year of onset, an additional year of diabetes duration relates to 2.6% higher care costs, while this is 4.9% controlling for year of onset. The effect of HbA1c and diabetes duration differs between types of costs. Conclusion HbA1c, insulin treatment and diabetes duration are the main drivers of increasing care costs. The results signal the relevance of controlling for HbA1c together with treatment modality, diabetes duration and year of diagnosis effects. Care costs (dpeaa)DE-He213 Type 2 diabetes mellitus (dpeaa)DE-He213 Average glucose control (dpeaa)DE-He213 Diabetes treatment (dpeaa)DE-He213 Diabetes duration (dpeaa)DE-He213 Year of onset cohorts (dpeaa)DE-He213 Feenstra, Talitha L. verfasserin aut Bilo, Henk J. G. verfasserin aut Alessie, Rob. J. M. verfasserin aut Enthalten in The European journal of health economics Berlin : Springer, 2001 20(2019), 7 vom: 16. Mai, Seite 989-1000 (DE-627)320494462 (DE-600)2011428-X 1618-7601 nnns volume:20 year:2019 number:7 day:16 month:05 pages:989-1000 https://dx.doi.org/10.1007/s10198-019-01072-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2941 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.05 ASE 44.10 ASE AR 20 2019 7 16 05 989-1000
allfieldsSound	10.1007/s10198-019-01072-z doi (DE-627)SPR009116923 (SPR)s10198-019-01072-z-e DE-627 ger DE-627 rakwb eng 610 ASE 44.05 bkl 44.10 bkl Rodríguez-Sánchez, Beatriz verfasserin aut Costs of people with diabetes in relation to average glucose control: an empirical approach controlling for year of onset cohorts 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective To estimate the impact of glycaemic control and time since diabetes diagnosis on care costs incurred by people with type 2 diabetes mellitus (T2DM). Research design and methods Random-effects linear regression models were run to test the impact of average glucose control (HbA1c) and time since diabetes diagnosis on total care spending in people with T2DM, adjusting for year of onset and other covariates. Two datasets were linked, Vektis (healthcare costs reimbursed by the Dutch mandatory health insurance) and Zodiac (clinical and sociodemographic data). The sample includes 22,612 observations, grouped in 5653 individuals from the Northern part of the Netherlands, covering 4 years (2008–2011). Results A 1% point increase in HbA1c is associated with a 2.2% higher total care costs. However, when treatment modality is included, the results are modified. A 1% point increase (11 mol/mol) in HbA1c is significantly associated with 3.4% higher total care costs for individuals without glucose-lowering treatment. Being treated with insulin is significantly associated with an increase in costs of 30–38% for every additional percentage point of HbA1c, depending on the covariates included. Without controlling for year of onset, an additional year of diabetes duration relates to 2.6% higher care costs, while this is 4.9% controlling for year of onset. The effect of HbA1c and diabetes duration differs between types of costs. Conclusion HbA1c, insulin treatment and diabetes duration are the main drivers of increasing care costs. The results signal the relevance of controlling for HbA1c together with treatment modality, diabetes duration and year of diagnosis effects. Care costs (dpeaa)DE-He213 Type 2 diabetes mellitus (dpeaa)DE-He213 Average glucose control (dpeaa)DE-He213 Diabetes treatment (dpeaa)DE-He213 Diabetes duration (dpeaa)DE-He213 Year of onset cohorts (dpeaa)DE-He213 Feenstra, Talitha L. verfasserin aut Bilo, Henk J. G. verfasserin aut Alessie, Rob. J. M. verfasserin aut Enthalten in The European journal of health economics Berlin : Springer, 2001 20(2019), 7 vom: 16. Mai, Seite 989-1000 (DE-627)320494462 (DE-600)2011428-X 1618-7601 nnns volume:20 year:2019 number:7 day:16 month:05 pages:989-1000 https://dx.doi.org/10.1007/s10198-019-01072-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2941 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.05 ASE 44.10 ASE AR 20 2019 7 16 05 989-1000
language	English
source	Enthalten in The European journal of health economics 20(2019), 7 vom: 16. Mai, Seite 989-1000 volume:20 year:2019 number:7 day:16 month:05 pages:989-1000
sourceStr	Enthalten in The European journal of health economics 20(2019), 7 vom: 16. Mai, Seite 989-1000 volume:20 year:2019 number:7 day:16 month:05 pages:989-1000
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Care costs Type 2 diabetes mellitus Average glucose control Diabetes treatment Diabetes duration Year of onset cohorts
dewey-raw	610
isfreeaccess_bool	false
container_title	The European journal of health economics
authorswithroles_txt_mv	Rodríguez-Sánchez, Beatriz @@aut@@ Feenstra, Talitha L. @@aut@@ Bilo, Henk J. G. @@aut@@ Alessie, Rob. J. M. @@aut@@
publishDateDaySort_date	2019-05-16T00:00:00Z
hierarchy_top_id	320494462
dewey-sort	3610
id	SPR009116923
language_de	englisch
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Being treated with insulin is significantly associated with an increase in costs of 30–38% for every additional percentage point of HbA1c, depending on the covariates included. Without controlling for year of onset, an additional year of diabetes duration relates to 2.6% higher care costs, while this is 4.9% controlling for year of onset. The effect of HbA1c and diabetes duration differs between types of costs. Conclusion HbA1c, insulin treatment and diabetes duration are the main drivers of increasing care costs. 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author	Rodríguez-Sánchez, Beatriz
spellingShingle	Rodríguez-Sánchez, Beatriz ddc 610 bkl 44.05 bkl 44.10 misc Care costs misc Type 2 diabetes mellitus misc Average glucose control misc Diabetes treatment misc Diabetes duration misc Year of onset cohorts Costs of people with diabetes in relation to average glucose control: an empirical approach controlling for year of onset cohorts
authorStr	Rodríguez-Sánchez, Beatriz
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topic_title	610 ASE 44.05 bkl 44.10 bkl Costs of people with diabetes in relation to average glucose control: an empirical approach controlling for year of onset cohorts Care costs (dpeaa)DE-He213 Type 2 diabetes mellitus (dpeaa)DE-He213 Average glucose control (dpeaa)DE-He213 Diabetes treatment (dpeaa)DE-He213 Diabetes duration (dpeaa)DE-He213 Year of onset cohorts (dpeaa)DE-He213
topic	ddc 610 bkl 44.05 bkl 44.10 misc Care costs misc Type 2 diabetes mellitus misc Average glucose control misc Diabetes treatment misc Diabetes duration misc Year of onset cohorts
topic_unstemmed	ddc 610 bkl 44.05 bkl 44.10 misc Care costs misc Type 2 diabetes mellitus misc Average glucose control misc Diabetes treatment misc Diabetes duration misc Year of onset cohorts
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title	Costs of people with diabetes in relation to average glucose control: an empirical approach controlling for year of onset cohorts
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title_full	Costs of people with diabetes in relation to average glucose control: an empirical approach controlling for year of onset cohorts
author_sort	Rodríguez-Sánchez, Beatriz
journal	The European journal of health economics
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author_browse	Rodríguez-Sánchez, Beatriz Feenstra, Talitha L. Bilo, Henk J. G. Alessie, Rob. J. M.
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author-letter	Rodríguez-Sánchez, Beatriz
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author2-role	verfasserin
title_sort	costs of people with diabetes in relation to average glucose control: an empirical approach controlling for year of onset cohorts
title_auth	Costs of people with diabetes in relation to average glucose control: an empirical approach controlling for year of onset cohorts
abstract	Objective To estimate the impact of glycaemic control and time since diabetes diagnosis on care costs incurred by people with type 2 diabetes mellitus (T2DM). Research design and methods Random-effects linear regression models were run to test the impact of average glucose control (HbA1c) and time since diabetes diagnosis on total care spending in people with T2DM, adjusting for year of onset and other covariates. Two datasets were linked, Vektis (healthcare costs reimbursed by the Dutch mandatory health insurance) and Zodiac (clinical and sociodemographic data). The sample includes 22,612 observations, grouped in 5653 individuals from the Northern part of the Netherlands, covering 4 years (2008–2011). Results A 1% point increase in HbA1c is associated with a 2.2% higher total care costs. However, when treatment modality is included, the results are modified. A 1% point increase (11 mol/mol) in HbA1c is significantly associated with 3.4% higher total care costs for individuals without glucose-lowering treatment. Being treated with insulin is significantly associated with an increase in costs of 30–38% for every additional percentage point of HbA1c, depending on the covariates included. Without controlling for year of onset, an additional year of diabetes duration relates to 2.6% higher care costs, while this is 4.9% controlling for year of onset. The effect of HbA1c and diabetes duration differs between types of costs. Conclusion HbA1c, insulin treatment and diabetes duration are the main drivers of increasing care costs. The results signal the relevance of controlling for HbA1c together with treatment modality, diabetes duration and year of diagnosis effects.
abstractGer	Objective To estimate the impact of glycaemic control and time since diabetes diagnosis on care costs incurred by people with type 2 diabetes mellitus (T2DM). Research design and methods Random-effects linear regression models were run to test the impact of average glucose control (HbA1c) and time since diabetes diagnosis on total care spending in people with T2DM, adjusting for year of onset and other covariates. Two datasets were linked, Vektis (healthcare costs reimbursed by the Dutch mandatory health insurance) and Zodiac (clinical and sociodemographic data). The sample includes 22,612 observations, grouped in 5653 individuals from the Northern part of the Netherlands, covering 4 years (2008–2011). Results A 1% point increase in HbA1c is associated with a 2.2% higher total care costs. However, when treatment modality is included, the results are modified. A 1% point increase (11 mol/mol) in HbA1c is significantly associated with 3.4% higher total care costs for individuals without glucose-lowering treatment. Being treated with insulin is significantly associated with an increase in costs of 30–38% for every additional percentage point of HbA1c, depending on the covariates included. Without controlling for year of onset, an additional year of diabetes duration relates to 2.6% higher care costs, while this is 4.9% controlling for year of onset. The effect of HbA1c and diabetes duration differs between types of costs. Conclusion HbA1c, insulin treatment and diabetes duration are the main drivers of increasing care costs. The results signal the relevance of controlling for HbA1c together with treatment modality, diabetes duration and year of diagnosis effects.
abstract_unstemmed	Objective To estimate the impact of glycaemic control and time since diabetes diagnosis on care costs incurred by people with type 2 diabetes mellitus (T2DM). Research design and methods Random-effects linear regression models were run to test the impact of average glucose control (HbA1c) and time since diabetes diagnosis on total care spending in people with T2DM, adjusting for year of onset and other covariates. Two datasets were linked, Vektis (healthcare costs reimbursed by the Dutch mandatory health insurance) and Zodiac (clinical and sociodemographic data). The sample includes 22,612 observations, grouped in 5653 individuals from the Northern part of the Netherlands, covering 4 years (2008–2011). Results A 1% point increase in HbA1c is associated with a 2.2% higher total care costs. However, when treatment modality is included, the results are modified. A 1% point increase (11 mol/mol) in HbA1c is significantly associated with 3.4% higher total care costs for individuals without glucose-lowering treatment. Being treated with insulin is significantly associated with an increase in costs of 30–38% for every additional percentage point of HbA1c, depending on the covariates included. Without controlling for year of onset, an additional year of diabetes duration relates to 2.6% higher care costs, while this is 4.9% controlling for year of onset. The effect of HbA1c and diabetes duration differs between types of costs. Conclusion HbA1c, insulin treatment and diabetes duration are the main drivers of increasing care costs. The results signal the relevance of controlling for HbA1c together with treatment modality, diabetes duration and year of diagnosis effects.
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container_issue	7
title_short	Costs of people with diabetes in relation to average glucose control: an empirical approach controlling for year of onset cohorts
url	https://dx.doi.org/10.1007/s10198-019-01072-z
remote_bool	true
author2	Feenstra, Talitha L. Bilo, Henk J. G. Alessie, Rob. J. M.
author2Str	Feenstra, Talitha L. Bilo, Henk J. G. Alessie, Rob. J. M.
ppnlink	320494462
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isOA_txt	false
hochschulschrift_bool	false
doi_str	10.1007/s10198-019-01072-z
up_date	2024-07-04T00:44:11.014Z
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Costs of people with diabetes in relation to average glucose control: an empirical approach controlling for year of onset cohorts

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