Economic resources consumption structure in severe hypoglycemia episodes: a systematic review and meta-analysis

Predicting different factors that affect hospital utilization and outcomes Among diabetic patients admitted with hypoglycemia using structural equation modeling

BACKGROUND

Hypoglycemia (HG) is a common complication among diabetic patients. Many diabetics who experience HG are admitted to hospitals and usually utilize more resources. While plenty of studies examined multiple HG risk factors, there is limited knowledge about the correlation between different risk factors of HG and their impact on utilization.

OBJECTIVE

To identify key factors influencing utilization among diabetic HG patients and to examine the mechanisms and interactions between those factors.

DESIGN

A quantitative, non-experimental, and retrospective design that is based on the selection of the study subjects from the Healthcare Cost and Utilization Project National database for the years of 2012-2014. We employed Andersen Behavioral Model of Health Services Use as the main framework for this study.

RESULTS

Structural Equation Modeling was used as the main multivariate statistical method for the analysis. Total sample size was 4822 patients. We found that diabetes complications, renal disease, hypertension, and high Charlson comorbidity index score had the strongest impact on length of stay (LoS) as well as total charge. Geographical location of patients strongly influenced total charge. Age had an indirect impact on LoS and total charge.

LIMITATIONS

The use of secondary data seems to be the primary limitation for this study as some relevant risk factors for hypoglycemia were not available in the database.

CONCLUSIONS

This study examined the multilevel character of different factors leading to high utilization of healthcare services among HG patients admitted to hospitals. Findings of this study help clinicians and policy makers to formulate policies and protocols that aid in providing efficient care to HG patients with less utilization of resources.

Retrospective Cohort Analysis of the Reduced Burden of Hypoglycemia Associated with Dipeptidyl Peptidase-4 Inhibitor Use in Patients with Type 2 Diabetes Mellitus

INTRODUCTION

The use of antihyperglycemic agents (AHA), especially insulin and sulfonylureas (SU), is a risk factor for hypoglycemia. Despite the significant clinical and economic burdens associated with hypoglycemia and the decreasing use of SU in favor of other oral AHA, relatively little is known about hypoglycemia trends specific to the use of non-insulin AHA. We sought to estimate annual hypoglycemia event rates and costs among patients with type 2 diabetes mellitus (T2DM) who started either SU or dipeptidyl peptidase-4 inhibitors (DPP-4i) and to predict rates and costs in the absence of DPP-4i.

METHODS

Truven's MarketScan Commercial Claims database was used to estimate hypoglycemia event rates and costs from 2007 to 2013. Hypoglycemia, defined using diagnosis codes, was assessed during the 12 months following SU (n = 245,201) or DPP-4i (n = 176,786) initiation by adults with T2DM. Coefficients from a Poisson regression model used to estimate the impact of patient characteristics on hypoglycemia rates for patients who started SU were used to predict rates for patients who started DPP-4i had they started SU instead.

RESULTS

Hypoglycemia events per 100 patient-years (costs per event) ranged from 5.4 ($565) in 2007 to 10.4 ($1154) in 2013 for patients starting SU; rates (costs) for patients starting DPP-4i ranged from 3.2 ($308) in 2007 to 6.4 ($482) in 2013. Predicted hypoglycemia rates would have been 5.3-9.9 per 100 person-years for patients who started DPP-4i had they started SU instead. Starting DPP-4i, rather than SU, would have resulted in national savings of $750.3 million in healthcare costs due to avoided hypoglycemia events during this period.

CONCLUSIONS

Hypoglycemia rates and costs were consistently higher for patients who started SU rather than DPP-4i. The overall burden of hypoglycemia could be lowered substantially in the USA if, when feasible, patients with T2DM initiate DPP-4i instead of SU.

FUNDING

Merck & Co., Inc., Kenilworth, NJ USA.

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 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.

The burden of severe hypoglycemia in type 2 diabetes

AIMS

More than 29 million people in the US have type 2 diabetes mellitus (T2DM), a chronic metabolic disorder characterized by a progressive deterioration of glucose control, which eventually requires insulin. Abnormally low levels of blood glucose, a feared side-effect of insulin treatment, may cause severe hypoglycemia (SHO), leading to emergency department (ED) admission, hospitalization, and long-term complications; these, in turn, drive up the costs of T2DM. This study's objective was to estimate the prevalence and costs of SHO-related hospitalizations and their additional longer-term impacts on patients with T2DM using insulin.

METHODS

Using Truven MarketScan claims, we identified adult T2DM patients using basal and basal-bolus insulin regimens who were hospitalized for SHO (inpatient SHO patients) during 2010-2015. Two comparison groups were defined: those with outpatient SHO-related encounters only, including ED visits without hospitalization (outpatient SHO patients), and those with no SHO- or acute hyperglycemia-related events (comparison patients). Lengths of stay and SHO-related hospitalization costs were estimated, and propensity score and inverse probability weighting methods were used to adjust for baseline differences across the groups to evaluate longer-term impacts.

RESULTS

We identified 66,179 patients using basal and 81,876 patients using basal-bolus insulin, of which ∼1.1% (basal) to 3.2% (basal-bolus) experienced at least one SHO-related hospitalization. Among those who experienced SHO (i.e. those in the inpatient and outpatient SHO groups), 27% (basal) and 40% (basal-bolus) experienced at least one SHO-related hospitalization. One-third of basal and about one-quarter of basal-bolus patients were admitted directly to the hospital; the remainder were first assessed or treated in the ED. Inpatient SHO patients using basal insulin stayed in the hospital, including time in the ED, for 2.8 days and incurred $6896 in costs; patients using basal-bolus insulin stayed in the hospital for 2.6 days and incurred costs of $5802. Forty-to-fifty percent of inpatient SHO patients were hospitalized again for SHO. Inpatient SHO patients using basal insulin incurred significantly higher monthly costs after their initial SHO-related hospitalization than patients in the other two groups ($2935 vs $1819 and $1638), corresponding to 61% and 79% higher monthly costs; patients using basal-bolus insulin also incurred significantly higher monthly costs than patients in the other groups ($3606 vs $2731 and $2607), corresponding to 32% and 38% higher monthly costs.

LIMITATIONS

These analyses excluded patients who did not seek ED or hospital care when faced with SHO; events may have been miscoded; and we were not able to account for clinical characteristics associated with SHO, such as insulin dose and duration of diabetes, or unmeasured confounders.

CONCLUSIONS

The burden associated with SHO is not negligible. Nearly one in three patients using only basal insulin and one in four patients using basal-bolus regimens who experienced SHO were hospitalized at least once due to SHO. Not only did those patients incur the costs of their SHO hospitalization, but they also incurred at least $1,116 (62%) and $875 (70%) more per month than outpatient SHO or comparison patients. Reducing SHO events can help decrease the burden associated with SHO among patients with T2DM.

The burden of severe hypoglycemia in type 1 diabetes

AIMS

Approximately 1.25 million people in the US have type 1 diabetes mellitus (T1DM), a chronic metabolic disease that develops from the body's inability to produce insulin, and requires life-long insulin therapy. Poor insulin adherence may cause severe hypoglycemia (SHO), leading to hospitalization and long-term complications; these, in turn, drive up costs of SHO and T1DM overall. This study's objective was to estimate the prevalence and costs of SHO-related hospitalizations and their additional longer-term impacts on patients with T1DM using basal-bolus insulin.

METHODS

Using Truven MarketScan claims, we identified adult T1DM patients using basal-bolus insulin regimens who were hospitalized for SHO (inpatient SHO patients) during 2010-2015. Two comparison groups were defined: those with outpatient SHO-related encounters only, including emergency department (ED) visits without hospitalization (outpatient SHO patients), and those with no SHO- or acute hyperglycemia-related events (comparison patients). Lengths of stay and SHO-related hospitalization costs were estimated and propensity score and inverse probability weighting methods were used to adjust for baseline differences across the groups to evaluate longer-term impacts.

RESULTS

We identified 8,734 patients, of which 4.2% experienced at least one SHO-related hospitalization. Among those who experienced SHO (i.e. of those in the inpatient and outpatient SHO groups), 31% experienced at least one SHO-related hospitalization, while 9% were treated in the ED without subsequent hospitalization. Approximately 79% of patients were admitted directly to the hospital; the remainder were first assessed or treated in the ED. The inpatient SHO patients stayed in the hospital, including time in the ED, for 1.7 days and incurred $3551 in costs. About one-third of patients were hospitalized again for SHO. Inpatient SHO patients incurred significantly higher monthly costs after their initial SHO-related hospitalization than patients in the two other groups ($2084 vs $1313 and $1372), corresponding to 59% or 52% higher monthly costs for inpatient SHO patients.

LIMITATIONS

These analyses excluded patients who did not seek ED or hospital care when faced with SHO; events may have been miscoded; and we were not able to account for clinical characteristics associated with SHO, such as insulin dose and duration of diabetes, or unmeasured confounders.

CONCLUSIONS

The burden associated with SHO is not negligible. About 4% of T1DM patients using basal-bolus insulin regimens are hospitalized at least once due to SHO. Not only did those patients incur the costs of their SHO hospitalization, but they also incur red at least $712 (52%) more in costs per month after their hospitalization than outpatient SHO or comparison patients. Reducing SHO events can help decrease the burden associated with SHO among patients with T1DM.

Cost of severe hypoglycaemia in nine European countries

OBJECTIVE

Complications contribute largely to the economic gravity of diabetes mellitus (DM). How they arise and are treated differs substantially between countries. This paper assesses the total annual, direct, and indirect cost of severe hypoglycemia events (SHEs) in nine European countries: Bulgaria, Croatia, the Czech Republic, Greece, Hungary, Macedonia/the former Yugoslav Republic of Macedonia (MK), Poland, Slovenia, and Spain.

METHODS

Data was collected on epidemiology, treatment structure, SHE-driven resource consumption, and unit costs. Two systematic reviews-on the SHE rates and the resources used for treatment-and data on the days-of-work lost due to SHE along with salaries and employment rates were used. The total SHE cost in each country was calculated and how the differences are driven by individual parameters was analysed.

RESULTS

The annual costs of SHEs varied in absolute terms from €379,951.25 in MK up to €58,429,684.40 in Spain, or-when expressed per one drug-treated DM patient-from €5.47 in Bulgaria up to €17.74 in Spain. Indirect cost constituted between 6.01% (MK) and 26.49% (Hungary) of the total cost. The differences between countries are driven mostly by the cost of treating a single event, and this is related to general differences in prices.

LIMITATIONS

The main limitation is the lack of good quality data in some parts, and the necessity to use mean-value imputations, experts' opinions, etc. Additionally, we only considered DM treatment as the SHE driver, while other elements, e.g. style of living, may contribute substantially.

CONCLUSIONS

A common framework can be applied to estimate the economic burden of SHE in various countries, allowing one to identify the drivers of differences in cost. Treating DM is complex, and so no resolute conclusions ought to be drawn as to whether SHE management is better in one country than another.

Hypoglycemia and Medical Expenses in Patients with Type 2 Diabetes Mellitus: An Analysis Based on the Korea National Diabetes Program Cohort

Background and Aims

Hypoglycemia is one of the most important adverse events in individuals with type 2 diabetes mellitus (T2DM). However, hypoglycemia-related events are usually overlooked and have been documented less in clinical practice.

Materials and Methods

We evaluated the incidence, clinical characteristics, and medical expenses of hypoglycemia related events in T2DM patients based on the Korea National Diabetes Program (KNDP), which is the largest multi-center, prospective cohort in Korea (n = 4,350). For accurate outcomes, the KNDP data were merged with claims data from the Health Insurance Review and Assessment Service (HIRA) of Korea.

Results

During a median follow-up period of 3.23 years (95% CI: 3.14, 3.19), 88 subjects (2.02%) were newly diagnosed with hypoglycemia, and the incidence of hypoglycemia was 6.44 cases per 1,000 person-years (PY). Individuals with hypoglycemia were significantly older (59.7±10.7 vs. 53.3±10.4 years, p < 0.001), had more hospital visits (121.94±126.88 days/PY, p < 0.001), had a longer hospital stays (16.13±29.21 days/PY, p < 0.001), and incurred greater medical costs ($2,447.56±4,056.38 vs. $1,336.37±3,403.39 /PY, p < 0.001) than subjects without hypoglycemia.

Conclusion

Hypoglycemia-related events were infrequently identified among the medical records of T2DM subjects. However, they were associated significantly with poor clinical outcomes, and thus, hypoglycemia could have a substantial burden on the Korean national healthcare system.