Objective: To determine the effect of third-party reimbursement on the use of services and indexes of diabetes-related health management among inner-city diabetic patients.
Research Design And Methods: Adult diabetic patients (n = 158; 67% women, 33% men) from an inner-city diabetes clinic were categorized by level of third-party medical coverage: complete reimbursement for all services (full); partial reimbursement (part); and no reimbursement (none). Patients were followed for 13 mo. Use of billable medical services, diabetes clinic visits, emergency room visits, and hospital admissions were recorded. Use of a free, day-time diabetes telephone hot line was also documented. Indexes of diabetes-related health management, HbA1, blood pressure, and weight were compared from the beginning and the end of the study. Diabetes complications were scored and tabulated.
Results: Univariate analysis showed that patients with full reimbursement were more likely to use services than patients without reimbursement. When the combined effects of reimbursement status, age, sex, type of diabetes, and diabetes complications on use of services were analyzed together in a multivariate analysis, complications was the best predictor of admissions to the hospital and whether a patient called the hot line. IDDM patients and patients with full reimbursement were most likely to have an emergency room visit. Age was the best predictor of diabetes clinic attendance. No difference was noted in blood pressure or weight among the reimbursement groups at the beginning and end of study. However, the trend was toward (P < 0.05) an increase in HbA1 in the none group.
Conclusions: Among inner-city diabetic patients, multiple factors influence use of medical services. Indigent diabetic patients without third-party reimbursement were observed to have a rise in HbA1. These factors should be taken into consideration when planning strategies to prevent diabetes complications and the most effective allocation of health-care resources.
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http://dx.doi.org/10.2337/diacare.16.8.1076 | DOI Listing |
Pharmacoecon Open
January 2025
HTA & Pharmaceutical Economics Department, Italian Medicines Agency (AIFA), Rome, Italy.
Background: The authorization of new therapeutic indications for drugs already reimbursed by the Italian National Health Service (NHS) represents a matter of importance. This study aims to estimate the additional discount attributed to the extension of indications (EoIs) to explore the potential correlation between spending and negotiated discounts and to find specific factors (determinants) that impact on discount.
Methods: The study focused on drugs approved in Italy between 2003 and 2017 with at least four therapeutic indications, including the first approved and EoIs, with follow-up extended until 2021 to acquire all the information on the negotiation process that has been completed.
Curr Diab Rep
January 2025
Sections of Adult and Pediatric Endocrinology, University of Chicago Medicine, Outpatient CDCES, Chicago, USA.
Purpose Of Review: Evidence over the past few decades have proven the benefits and cost savings of diabetes self-management education and support (DSMES) and medical nutrition therapy (MNT). Yet, the benefits continue to be underutilized. Little evidence is available to definitively assess insurance coverage for both services.
View Article and Find Full Text PDFAcupunct Med
January 2025
Osher Center for Integrative Health, Department of Family Medicine, School of Medicine, University of Washington, Seattle, WA, USA.
Background: Although growing numbers of patients seek acupuncture for pain management, few acupuncturists with insurance credentialing work in the conventional medical settings. This has resulted in increasing frustration among patients wishing to receive acupuncture in primary care settings as part of their insurance benefits.
Methods: A course of eight weekly sessions of group auricular acupuncture (AA) for chronic musculoskeletal pain was implemented in a US primary care clinic and billed to insurance.
Med Decis Making
January 2025
Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Our commentary proposes the application of directed acyclic graphs (DAGs) in the design of decision-analytic models, offering researchers a valuable and structured tool to enhance transparency and accuracy by bridging the gap between causal inference and model design in medical decision making.The practical examples in this article showcase the transformative effect DAGs can have on model structure, parameter selection, and the resulting conclusions on effectiveness and cost-effectiveness.This methodological article invites a broader conversation on decision-modeling choices grounded in causal assumptions.
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