scholarly journals Initiation of insulin therapy in patients with type 2 diabetes: An observational study

2021 ◽  
Vol 72 (1) ◽  
pp. 147-157
Author(s):  
Spela Zerovnik ◽  
Mitja Kos ◽  
Igor Locatelli
Keyword(s):  
Type 2 Diabetes ◽  
Insulin Therapy ◽  
Claims Data ◽  
Health Claims ◽  
Prescribing Patterns ◽  
Insulin Initiation ◽  
Antidiabetic Therapy ◽  
Health Claims Data ◽  
Before And After

Abstract The aim of the study was to assess the initiation of insulin therapy in patients with type 2 diabetes using health claims data on prescription medicines. The study evaluated time to insulin initiation and prescribing patterns of other anti-diabetic medicines before and after insulin initiation. Five years after starting non-insulin antidiabetic therapy, 6.4 % of patients were prescribed insulin, which is substantially lower compared to other similar studies. Among all patients who initiated insulin therapy in 2013, 30 % did not continue any other antidiabetic therapy. However, this proportion was lowered to 20 % in 2018. Before insulin initiation in 2018, metformin was prescribed in only 67 % of patients and sulfonylureas in 78 % of patients. Moreover, metformin and sulfonylureas were discontinued after insulin initiation in 26 and 37 % of patients, resp. More attention should be paid to the continuation of oral anti-diabetics, particularly metformin, after insulin initiation.

134-LB: Treatment Patterns and Outcomes Before and After Human Regular U-500 Insulin Initiation via Kwikpen in U.S. Veterans with Type 2 Diabetes

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 134-LB
Author(s):  
JIELING CHEN ◽  
LUDI FAN ◽  
RATTAN JUNEJA ◽  
SUJANA BORRA ◽  
AHONG HUANG ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Treatment Patterns ◽  
Insulin Initiation ◽  
Before And After

1039-P: Treatment Patterns and Outcomes before and after Human Regular U-500 Insulin Initiation in Patients with Type 2 Diabetes Previously on <200 Units/Day of Insulin

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1039-P
Author(s):  
ROBERT C. HOOD ◽  
LUDI FAN ◽  
ROY D. POLLOM ◽  
SUJANA BORRA ◽  
AHONG HUANG ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Treatment Patterns ◽  
Insulin Initiation ◽  
Before And After

scholarly journals Identifying Smoking Status and Smoking Cessation Using a Data Linkage Between the Kentucky Cancer Registry and Health Claims Data

2019 ◽  
pp. 1-8 ◽  
Author(s):  
Michael Shayne Gallaway ◽  
Bin Huang ◽  
Quan Chen ◽  
Tom Tucker ◽  
Jaclyn McDowell ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Cancer Registry ◽  
Cancer Diagnosis ◽  
Claims Data ◽  
Data Linkage ◽  
Smoking Status ◽  
Health Claims ◽  
Smoking Cessation Counseling ◽  
Health Claims Data ◽  
Before And After

PURPOSE Linkage of cancer registry data with complementary data sources can be an informative way to expand what is known about patients and their treatment and improve delivery of care. The purpose of this study was to explore whether patient smoking status and smoking-cessation modalities data in the Kentucky Cancer Registry (KCR) could be augmented by linkage with health claims data. METHODS The KCR conducted a data linkage with health claims data from Medicare, Medicaid, state employee insurance, Humana, and Anthem. Smoking status was defined as documentation of personal history of tobacco use (International Classification of Diseases, Ninth Revision [ICD-9] code V15.82) or tobacco use disorder (ICD-9 305.1) before and after a cancer diagnosis. Use of smoking-cessation treatments before and after the cancer diagnosis was defined as documentation of smoking-cessation counseling (Healthcare Common Procedure Coding System codes 99406, 99407, G0375, and G0376) or pharmacotherapy (eg, nicotine replacement therapy, bupropion, varenicline). RESULTS From 2007 to 2011, among 23,703 patients in the KCR, we discerned a valid prediagnosis smoking status for 78%. KCR data only (72%), claims data only (6%), and a combination of both data sources (22%) were used to determine valid smoking status. Approximately 4% of patients with cancer identified as smokers (n = 11,968) and were provided smoking-cessation counseling, and 3% were prescribed pharmacotherapy for smoking cessation. CONCLUSION Augmenting KCR data with medical claims data increased capture of smoking status and use of smoking-cessation modalities. Cancer registries interested in exploring smoking status to influence treatment and research activities could consider a similar approach, particularly if their registry does not capture smoking status for a majority of patients.

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