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.

Assessing the Impact of Lean Healthcare on Inpatient Care: A Systematic Review

“…For example, the average LOS in hospitals for acute care among OECD countries is 6.5 days, with Turkey (4.1 days) being the shortest and Japan the longest (16.2 days) [ 173 ]. In this research, the average LOS before LH was 22.9 days, and 12.5 days after the intervention, but these values depend on many factors, such as patient variables [ 174 ], treatments, and settings; e.g., after LH, the LOS in the rehabilitation ward was 58.3 days [ 85 ], 22 days in the ICU [ 17 ], and 5.3 days in the trauma center [ 95 ]. Despite the contexts for standards or target compliance, we found that few studies discussing meeting local or national standards [ 47 , 87 ], national rates [ 90 ], organizational goals [ 3 ], targets [ 8 ], internal benchmarks [ 89 ], or consortium benchmarks [ 28 ].…”

Predictive Analytics for the KMAP-O Model in Design and Evaluation of Diabetes Care Management Research

“…The annotated research summary of selected randomized trials has been detailed in previous publications. 5,6 Findings show that behavioral interventions targeting the knowledge-motivation-attitude (KMA) components concomitantly had a greater impact on preventive practice such as exercise, dietary control, and regular physician visits than on improved metabolic and clinical outcomes. In addition, targeting specific high-risk patients who experienced a poor adherence could yield better outcomes.…”

“…The annotated research summary of selected randomized trials has been detailed in previous publications. 5,6…”

Risk factors for inpatient facility admission among home health care patients with diabetes

“…Andersen’s Behavioral Model of Health Services Use has been widely used to guide studies examining factors that influence hospital or nursing home admissions ( Andersen, 1995 ; Chen et al, 2015 , 2017a, 2017b; Dobbs et al, 2012 ; Fortinsky et al, 2006 ; Kattan & Wan, 2018 ). The model asserts that one’s health care utilization is influenced by predisposing, enabling, and need factors ( Andersen, 1995 ).…”