Development and validation of prediction rules to target care intensification in veteran patients with diabetes

Autor: Glen H. Murata, Heather M. Campbell, Allison Murata, Gerald A Charlton
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Adult
Male
medicine.medical_specialty
endocrine system diseases
Population
030209 endocrinology & metabolism
Health Informatics
Health informatics
03 medical and health sciences
primary healthcare
0302 clinical medicine
Health Information Management
Risk Factors
Diabetes mellitus
medicine
medical informatics
Electronic Health Records
Humans
030212 general & internal medicine
Registries
Minority status
Risk factor
education
Glycated haemoglobin
Veterans Affairs
Original Research
Retrospective Studies
Veterans
Aged
80 and over

Glycated Hemoglobin
education.field_of_study
Primary Health Care
business.industry
patient care
Retrospective cohort study
information management
Middle Aged
medicine.disease
Decision Support Systems
Clinical

Quality Improvement
United States
Computer Science Applications
United States Department of Veterans Affairs
Diabetes Mellitus
Type 2

Emergency medicine
Female
business
Zdroj: BMJ Health & Care Informatics
ISSN: 2632-1009
Popis: BackgroundDiabetes affects 30.3 million people in the USA. Among these people, a major risk factor for microvascular complications is having a glycated haemoglobin (HbA1c) value of ≥75 mmol/mol; therefore, it would be helpful to identify patients who will obtain future HbA1c values of ObjectivesTo develop and validate two prediction rules among patients with diabetes having a baseline HbA1c value of ≥75 mmol/mol: (1) HbA1c measurement ever MethodsRetrospective cohort study using a registry extracting data from the Department of Veterans Affairs’s (VA’s) electronic health records system. Baseline was 1 Jul 2013–30 June 2014; patients were followed up until 31 July 2016.ResultsOur population consisted of 145 659 patients. Across models, predictors were age, sex, minority status, baseline HbA1c value, time, HbA1c≥75 mmol/mol, receiving insulin treatment and consecutive number of HbA1c values of 75 mmol/mol. The overall likelihood of a patient ever having an HbA1cConclusionsWithin each rule, there were similar observed and predicted tertile probabilities; maintaining HbA1c values of
Databáze: OpenAIRE