Non elective re-admissions to an acute hospital in people with diabetes: Causes and the potential for avoidance. The WICKED project

Examining Racial Disparities in Diabetes Readmissions in the United States Military Health System

INTRODUCTION

Diabetes is one of the most common chronic conditions in the United States and has a cost burden over $120 billion per year. Readmissions following hospitalization for diabetes are common, particularly in minority patients, who experience greater rates of complications and lower quality healthcare compared to white patients. This study examines disparities in diabetes-related readmissions in the Military Health System, a universally insured, population of 9.5 million beneficiaries, who may receive care from military (direct care) or civilian (purchased care) facilities.

METHODS

The study identified a population of 7,605 adult diabetic patients admitted to the hospital in 2014. Diagnostic codes were used to identify hospital readmissions, and logistic regression was used to analyze associations among race, beneficiary status, patient or sponsor's rank, and readmissions at 30, 60, and 90 days.

RESULTS

A total of 239 direct care patients and 545 purchased care patients were included in our analyses. After adjusting for age and sex, we found no significant difference in readmission rates for black versus white patients; however, we found a statistically significant increase in the likelihood for readmission of Native American/Alaskan Native patients compared to white patients, which persisted in direct care at 60 days (adjusted odds ratio [AOR] 11.51, 95% CI 1.11-119.41) and 90 days (AOR 18.42, 95% CI 1.78-190.73), and in purchased care at 90 days (AOR 4.54, 95% CI 1.31-15.74).

CONCLUSION

Our findings suggest that universal access to healthcare alleviates disparities for black patients, while Native America/Alaskan Native populations may still be at risk of disparities associated with readmissions among diabetic patients in both the closed direct care system and the civilian fee for service purchased care system.

Risk factors for readmission of inpatients with diabetes: A systematic review

AIM

We have limited understanding of which risk factors contribute to increased readmission rates amongst people discharged from hospital with diabetes. We aim to complete the first review of its kind, to identify, in a systematic way, known risk factors for hospital readmission amongst people with diabetes, in order to better understand this costly complication.

METHOD

The review was prospectively registered in the PROSPERO database. Risk factors were identified through systematic review of literature in PubMed, EMBASE & SCOPUS databases, performed independently by two authors prior to data extraction, with quality assessment and semi-quantitative synthesis according to PRISMA guidelines.

RESULTS

Eighty-three studies were selected for inclusion, predominantly from the United States, and utilising retrospective analysis of local or regional data sets. 76 distinct statistically significant risk factors were identified across 48 studies. The most commonly identified risk factors were; co-morbidity burden, age, race and insurance type. Few studies conducted power calculations; unstandardized effect sizes were calculated for the majority of statistically significant risk factors.

CONCLUSION

This review is important in assessing the current state of the literature and in supporting development of interventions to reduce readmission risk. Furthermore, it provides an important foundation for development of rigorous, pre-specified risk prediction models.

Clinical Conundrums in the Management of Diabetic Ketoacidosis in the Elderly

One of the dreaded life-threatening complications of diabetes mellitus (DM) is diabetic ketoacidosis (DKA). American Diabetic Association (ADA) came out with 2018 guidelines on the management of DM and its complications, but these are woefully silent on the clinical conundrums that accompany DKA in elderly patients. In elderly patients, DKA is often complicated by sepsis, atrial fibrillation, polypharmacy, nonketotic hyperosmolar states, atypical clinical presentations, acute kidney injury (AKI), dementia, and noncompliance with medications. Here in we highlight these conundrums that need to be addressed to improve morbidity and mortality in elderly patients.

Impact of a general practitioner-led integrated model of care on the cost of potentially preventable diabetes-related hospitalisations

AIM

To estimate potential savings for Australia's health care system through the implementation of an innovative Beacon model of care for patients with complex diabetes.

METHODS

A prospective controlled trial was conducted comparing a multidisciplinary, community-based, integrated primary-secondary care diabetes service with usual care at a hospital diabetes outpatient clinic. We extracted patient hospitalisation data from the Queensland Hospital Admitted Patient Data Collection and used Australian Refined Diagnosis Related Groups to assign costs to potentially preventable hospitalisations for diabetes.

RESULTS

327 patients with complex diabetes referred by their general practitioner for specialist outpatient care were included in the analysis. The integrated model of care had potential for national cost savings of $132.5 million per year.

CONCLUSIONS

The differences in hospitalisations attributable to better integrated primary/secondary care can yield large cost savings. Models such as the Beacon are highly relevant to current national health care reform initiatives to improve the continuity and efficiency of care for those with complex chronic disease in primary care.