Factors Influencing Variations in Hospitalization for Diabetes with Hypoglycemia

Many studies have explored risk factors associated with Hypoglycemia (HG) and examined the variation in healthcare utilization among HG patients. However, most of these studies failed to integrate a comprehensive list of personal risk factors in their investigations. This empirical study employed th...
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Gespeichert in:

Autor*in:	Waleed Kattan [verfasserIn] Thomas T. H. Wan [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	hypoglycemia hospital utilization predictors of hospital length of stay costs of care high-risk profile of hospitalized diabetes

Übergeordnetes Werk:	In: Journal of Clinical Medicine - MDPI AG, 2013, 7(2018), 10, p 367
Übergeordnetes Werk:	volume:7 ; year:2018 ; number:10, p 367

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/jcm7100367

Katalog-ID:	DOAJ076640450

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allfieldsSound	10.3390/jcm7100367 doi (DE-627)DOAJ076640450 (DE-599)DOAJb2a6dc7723164064a3a797b29b87bcec DE-627 ger DE-627 rakwb eng Waleed Kattan verfasserin aut Factors Influencing Variations in Hospitalization for Diabetes with Hypoglycemia 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Many studies have explored risk factors associated with Hypoglycemia (HG) and examined the variation in healthcare utilization among HG patients. However, most of these studies failed to integrate a comprehensive list of personal risk factors in their investigations. This empirical study employed the Behavioral Model (BM) of health care utilization as a framework to investigate diabetes’ hospitalizations with HG. The national inpatient sample with all non-pregnant adult patients admitted to hospitals’ emergency departments and diagnosed with HG from 2012 to 2014 was used. Personal factors were grouped as predictors of the length of stay and the total charges incurred for hospitalization. High-risk profiles of hospitalized HG patients were identified. The analysis shows the need for care factors are the most influential predictors for lengthy hospitalization. The predisposing factors have a limited influence, while enabling factors influence the variation in hospital total charges. The presence of renal disease and diabetes mellitus (DM) complications played a key role in predicting hospital utilization. Furthermore, age, socio-economic status (SES), and the geographical location of the patients were also found to be vital factors in determining the variability in utilization among HG patients. Findings provide practical applications for targeting the high-risk HG patients for interventions. hypoglycemia hospital utilization predictors of hospital length of stay costs of care high-risk profile of hospitalized diabetes Medicine R Thomas T. H. Wan verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 7(2018), 10, p 367 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:7 year:2018 number:10, p 367 https://doi.org/10.3390/jcm7100367 kostenfrei https://doaj.org/article/b2a6dc7723164064a3a797b29b87bcec kostenfrei http://www.mdpi.com/2077-0383/7/10/367 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2018 10, p 367
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author	Waleed Kattan
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topic_title	Factors Influencing Variations in Hospitalization for Diabetes with Hypoglycemia hypoglycemia hospital utilization predictors of hospital length of stay costs of care high-risk profile of hospitalized diabetes
topic	misc hypoglycemia misc hospital utilization misc predictors of hospital length of stay misc costs of care misc high-risk profile of hospitalized diabetes misc Medicine misc R
topic_unstemmed	misc hypoglycemia misc hospital utilization misc predictors of hospital length of stay misc costs of care misc high-risk profile of hospitalized diabetes misc Medicine misc R
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title	Factors Influencing Variations in Hospitalization for Diabetes with Hypoglycemia
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title_full	Factors Influencing Variations in Hospitalization for Diabetes with Hypoglycemia
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title_sort	factors influencing variations in hospitalization for diabetes with hypoglycemia
title_auth	Factors Influencing Variations in Hospitalization for Diabetes with Hypoglycemia
abstract	Many studies have explored risk factors associated with Hypoglycemia (HG) and examined the variation in healthcare utilization among HG patients. However, most of these studies failed to integrate a comprehensive list of personal risk factors in their investigations. This empirical study employed the Behavioral Model (BM) of health care utilization as a framework to investigate diabetes’ hospitalizations with HG. The national inpatient sample with all non-pregnant adult patients admitted to hospitals’ emergency departments and diagnosed with HG from 2012 to 2014 was used. Personal factors were grouped as predictors of the length of stay and the total charges incurred for hospitalization. High-risk profiles of hospitalized HG patients were identified. The analysis shows the need for care factors are the most influential predictors for lengthy hospitalization. The predisposing factors have a limited influence, while enabling factors influence the variation in hospital total charges. The presence of renal disease and diabetes mellitus (DM) complications played a key role in predicting hospital utilization. Furthermore, age, socio-economic status (SES), and the geographical location of the patients were also found to be vital factors in determining the variability in utilization among HG patients. Findings provide practical applications for targeting the high-risk HG patients for interventions.
abstractGer	Many studies have explored risk factors associated with Hypoglycemia (HG) and examined the variation in healthcare utilization among HG patients. However, most of these studies failed to integrate a comprehensive list of personal risk factors in their investigations. This empirical study employed the Behavioral Model (BM) of health care utilization as a framework to investigate diabetes’ hospitalizations with HG. The national inpatient sample with all non-pregnant adult patients admitted to hospitals’ emergency departments and diagnosed with HG from 2012 to 2014 was used. Personal factors were grouped as predictors of the length of stay and the total charges incurred for hospitalization. High-risk profiles of hospitalized HG patients were identified. The analysis shows the need for care factors are the most influential predictors for lengthy hospitalization. The predisposing factors have a limited influence, while enabling factors influence the variation in hospital total charges. The presence of renal disease and diabetes mellitus (DM) complications played a key role in predicting hospital utilization. Furthermore, age, socio-economic status (SES), and the geographical location of the patients were also found to be vital factors in determining the variability in utilization among HG patients. Findings provide practical applications for targeting the high-risk HG patients for interventions.
abstract_unstemmed	Many studies have explored risk factors associated with Hypoglycemia (HG) and examined the variation in healthcare utilization among HG patients. However, most of these studies failed to integrate a comprehensive list of personal risk factors in their investigations. This empirical study employed the Behavioral Model (BM) of health care utilization as a framework to investigate diabetes’ hospitalizations with HG. The national inpatient sample with all non-pregnant adult patients admitted to hospitals’ emergency departments and diagnosed with HG from 2012 to 2014 was used. Personal factors were grouped as predictors of the length of stay and the total charges incurred for hospitalization. High-risk profiles of hospitalized HG patients were identified. The analysis shows the need for care factors are the most influential predictors for lengthy hospitalization. The predisposing factors have a limited influence, while enabling factors influence the variation in hospital total charges. The presence of renal disease and diabetes mellitus (DM) complications played a key role in predicting hospital utilization. Furthermore, age, socio-economic status (SES), and the geographical location of the patients were also found to be vital factors in determining the variability in utilization among HG patients. Findings provide practical applications for targeting the high-risk HG patients for interventions.
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title_short	Factors Influencing Variations in Hospitalization for Diabetes with Hypoglycemia
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Factors Influencing Variations in Hospitalization for Diabetes with Hypoglycemia

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