The Impact of Reimbursement for Non–Face-to-Face Chronic Care Management on Comprehensive Metabolic Biomarkers Among Multimorbid Patients With Type 2 Diabetes
Bibliographic Data
| ID | 9103028 |
|---|---|
| Authors | Yixue Shao (0000-0003-1410-5455, Tulane University, corresponding author), Charles Stoecker (0000-0001-5438-9312, Tulane University, corresponding author), Dongzhe Hong (0000-0002-6400-9667, Tulane University, corresponding author), Elizabeth Nauman (0009-0008-8092-7071, Louisiana Public Health Institute), Vivian Fonseca (0000-0002-3381-7151, Section of Endocrinology, Tulane University Health Sciences Center, New Orleans), Gang Hu (0000-0002-7892-5578, Pennington Biomedical Research Center, Baton Rouge), Alessandra N Bazzano (0000-0002-8299-2626, Tulane University), Daniel Fort (0000-0002-3759-4063, Ochsner Health, New Orleans, LA), Edmond K Kabagambe (0000-0002-8993-3186, Ochsner Health, New Orleans, LA), Lizheng Shi (0000-0002-7827-6766, Tulane University, corresponding author) |
| Year | 2023 |
| Volume | 61 |
| Issue | 3 |
| Pages | 157-164 |
| Publication date | 2023-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0000000000001816 |
| PMID | 36728398 |
| OpenAlex | W4318917671 |
| Language | EN |
| References cited | 18 |
AIMS: We evaluated the impact of reimbursement for non-face-to-face chronic care management (NFFCCM) on comprehensive metabolic risk factors among multimorbid Medicare beneficiaries with type 2 diabetes in Louisiana. MATERIALS AND METHODS: We implemented a propensity score method to obtain comparable treatment (n=1501 with NFFCCM) and control (n=17,524 without NFFCCM) groups. Patients with type 2 diabetes were extracted from the electronic health records stored in REACHnet. The study period was from 2013 to February 2020. The comprehensive metabolic risk factors included the primary outcome of glycated hemoglobin (HbA1c) (as the primary outcome) and the secondary outcomes of body mass index (BMI), systolic blood pressure (BP), and low-density lipoprotein cholesterol. RESULTS: Receiving any NFFCCM was associated with improvement in all outcomes measures: a reduction in HbA1c of 0.063% (95% CI: 0.031%-0.094%; P <0.001), a reduction in BMI of 0.155 kg/m 2 (95% CI: 0.029-0.282 kg/m 2 ; P =0.016), a reduction in systolic BP of 0.816 mm Hg (95% CI: 0.469-1.163 mm Hg; P <0.001), and a reduction in low-density lipoprotein cholesterol of 1.779 mg/dL (95% CI: 0.988 2.570 mg/dL; P <0.001). Compared with the control group, the treatment group had 1.6% more patients with HbA1c <7% (95% CI: 0.3%-2.9%; P =0.013). CONCLUSIONS: Patients with diabetes in Louisiana receiving NFFCCM experienced better control of HbA1c, BMI, BP, and low-density lipoprotein outcomes
Blood pressure · Body mass index · Diabetes mellitus · Glycated hemoglobin · Health care · Reimbursement · Type 2 diabetes · Chronic Disease Management Strategies · Diabetes Management and Education · Diabetes Treatment and Management · Endocrinology · Internal Medicine · Medicine
Group-Based Trajectory Modeling
Group-based multi-trajectory modeling
Using group-based trajectory modeling to examine heterogeneity of symptom burden in patients with head and neck cancer undergoing aggressive non-surgical therapy
Combining group-based trajectory modeling and propensity score matching for causal inferences in nonexperimental longitudinal data
The Effect of Automated Calls With Telephone Nurse Follow-Up on Patient-Centered Outcomes of Diabetes Care
| Citation velocity | historical |
|---|---|
| Highly cited | No |