Trends in Avoidable Hospitalizations for Diabetes: Experience of a Large Clinically Integrated Health Care System

The variation in preventable hospitalization in patients with type 2 diabetes in Kentucky before and after the Medicaid expansion

BACKGROUND

Hospitalizations are more resource intensive and expensive than outpatient care. Therefore, type 2 diabetes-related preventable hospitalization are a major topic of research efficiency in the healthcare system.

OBJECTIVES

Analyze county level variation in type 2 diabetes-related preventable hospitalization rates in Kentucky before the Medicaid expansion (2010-2013) and after the Medicaid expansion (2014-2017).

DESIGN

Geographic mapping and cluster analysis.

SETTING

Data for a state of the United States of America.

METHODS

We used the KID data to generate geographic mapping for type 2 diabetes-related preventable hospitalizations to visualize rates. We included all Kentucky discharges of age 18 years and older with the ICD9/10 principal diagnosis code for type 2 diabetes. Then, we conducted cluster analysis techniques to compare county-level variation in type 2 diabetes-related preventable hospitalization rates across Kentucky counties pre- and post-Medicaid expansion.

MAIN OUTCOME AND MEASURES

County type 2 diabetes-related preventable hospitalization pre- and post-Medicaid expansion.

RESULTS

From 2010-2017, type 2 diabetes-related preventable hospitalization discharge rates reduced significantly in the period of the post-Medicaid expansion (P=.001). The spatial statistics analysis revealed a significant spatial clustering of counties with similar rates of type 2 diabetes-related preventable hospitalization in the south, east, and southeastern Kentucky pre- and post-Medicaid expansion (positive z-score and positive Moran's Index value (P>.05). Also, there was a significant clustering of counties with low type 2 diabetes-related preventable hospitalization rates in the north, west, and central regions of the state pre-Medicaid expansion and post-Medicaid expansion (positive z-score and positive Moran's Index value (P>.05).

CONCLUSION

Kentucky counties in the southeast have experienced a significant clustering of highly avoidable hospitalization rates during both periods. Focusing on the vulnerable counties and the economic inequality in Kentucky could lead to efforts to lowering future type 2 diabetes-related preventable hospitalization rates.

LIMITATIONS

We used de-identified data which does not provide insights into the frequency of hospitalizations per patient. An individual patient may be hospitalized several times and counted as several individuals.

Clinical and biochemical determinants of length of stay, readmission and recurrence in patients admitted with diabetic ketoacidosis

BACKGROUND

The increasing prevalence of diabetic ketoacidosis (DKA) related admissions poses a significant burden on the healthcare systems globally. However, data regarding the predictors of healthcare resource utilization in DKA is limited and inconsistent. This study aimed to identify key predictors of hospital length of stay (LOS), readmission and recurrent DKA episodes.

METHODS

We undertook a retrospective cross-sectional analysis of all DKA admissions from 2015 to 2021 across four hospitals in Qatar. The primary outcomes were the length of stay (LOS), 90-day readmission and 6-month and 1-year DKA recurrence.

RESULTS

We included 922 patients with a median age of 35 years (25-45). 62% were males with type-1 diabetes-mellitus (T1DM) and type-2 DM (T2DM), present in 52% and 48% of patients. The median LOS was 2.6 days (IQR 1.1-4.8), and the median DKA resolution time was 18 h (10.5-29). Male-gender, new-onset DM, higher Charlson Comorbidity Index (CCI), lower haemoglobin, sodium and potassium, higher urea, longer DKA duration and MICU admission predicted a longer LOS in a multivariate regression analysis. None of the factors were significantly associated with 90-day readmission. Patients with pre-existing T1DM were more likely to have a six-month DKA recurrence than pre-existing T2DM. Patients with a 6-month DKA recurrence, female gender and T1DM had higher odds of 12-month recurrence, whereas a consult with a diabetes educator at the index admission was associated with decreased odds of recurrence.

CONCLUSIONS/INTERPRETATION

This is the most extensive study from the Middle-East region reporting on LOS, readmissions and the recurrence of DKA. Results from this study with a diverse population may be valuable for physicians and healthcare systems to decrease the diabetes-related healthcare burden in DKA patients.

Diabetes-related avoidable hospitalisations and its relationship with primary healthcare resourcing in China: A cross-sectional study from Sichuan Province

The reduction of diabetes-related avoidable hospitalisations (AHs) can be achieved via the provision of timely and effective primary healthcare (PHC), which has made diabetes AHs rate a widely adopted indicator for evaluating the performances of PHC systems. This study reported the AHs rate of diabetes and further explored its relationship with PHC resourcing in China. Hospital discharge data of the fourth quarters of 2016 and 2017 in Sichuan Province, China were used. The number of PHC doctors per 10,000 population and the proportion of PHC doctors on all doctors were used as indicators reflective of PHC resourcing. Linear regression models were used to explore the associations between PHC resourcing and AHs of diabetes. Age-standardised rates of diabetes-related AHs in Sichuan province, China were found to be 248.102 and 272.368 per 100,000 population in 2016 and 2017, respectively. A 10% increase in the number of PHC doctors per 10,000 population was associated with a reduction of 2.574 per 100,000 population in the age-standardised AHs rate of diabetes. In addition, 10% increase in the proportion of PHC doctors on all doctors was associated with a reduction of 10.839 diabetes-related AHs per 100,000 population. Based on subgroup analysis, PHC resourcing demonstrated to have a stronger impact on AHs of diabetes with long-term complications than on that of uncontrolled diabetes. Our findings reported that the diabetes AHs rates in Sichuan Province were prevalently high. We also found that increased PHC resourcing was associated with decreased diabetes-related AHs rates.