scholarly journals Diabetes care: provider disparities in the US Appalachian region

2010 ◽  
Author(s):  
Sharon Denham ◽  
Lawrence Wood ◽  
Karen Remsberg
2019 ◽  
pp. 137-146 ◽  
Author(s):  
Anders Herlitz ◽  
Christian Munthe

This case study illustrates how family members can assist in the care of teenagers with diabetes but that there are also serious risks actualized by such involvement. In particular, it highlights ethical complications that arise when the role of a family member is changed from ‘parent’ to ‘care provider’. The ‘counseling, self-care, adherence’ (CSA) approach offers a look at the role that family can play to improve these types of care.


1994 ◽  
Vol 40 (8) ◽  
pp. 1637-1640 ◽  
Author(s):  
D E Goldstein ◽  
R R Little ◽  
H M Wiedmeyer ◽  
J D England ◽  
C L Rohlfing ◽  
...  

Abstract To address the question, Do laboratory tests cost money or save money? we have used as a model for discussion a common chronic disease, diabetes mellitus, and a widely used laboratory test, that for glycohemoglobin, a measure of long-term glycemia used to manage diabetic patients. Diabetes mellitus is serious, highly prevalent, and costly. In 1992, $1 of every $7 spent on health in the US was for diabetes, predominantly for treatment of the chronic complications of the disease. The recently completed Diabetes Control and Complications Trial (DCCT) demonstrated that development and progression of the chronic complications of diabetes are related to the degree of altered glycemia as quantified by determinations of glycohemoglobin. Thus, use of glycohemoglobin testing for routine diabetes care provides an objective measure of a patient's risk for developing diabetic complications. Results of this test can alert patients and health providers to the need for change in the treatment plan. Optimal use of glycohemoglobin testing for diabetes care will require standardization of test results.


2019 ◽  
Vol 7 (02) ◽  
pp. 89-90
Author(s):  
Ameya Joshi

AbstractThis brief communication shares the importance of the Alignment of the 3As, that is Assets, Aims, and Actions, while managing diabetes. It describes the essence of asset analysis, target decision-making, and therapeutic planning strategies. Calling for regular Audits of diabetes care, it reinforces the importance of this policy at the level of the person with diabetes, diabetes care provider, and healthcare system.


2018 ◽  
Vol 1 (1) ◽  
pp. 1-20
Author(s):  
Andi Mayasari Usman ◽  
Rian Adi Pamungkas

Diabetes mellitus is one of the global problems the world. Since the complexity of the patient’s tasks is required in the diabetes care, the consistency to engage this various health behavior for addressing the glycemic control target is difficult to achieve. Failure management may reflect by patient, family, inadequate intervention strategies by health care provider as well as organization factor. Three databases used such as PubMed, MIDLINE, and CINAHL to address patient’s barriers, family’s barriers, and provider’s barriers as well as organization barriers for diabetes management. Patient’s attitudes and belief, knowledge, culture, and ethnicity, self-efficacy, financial resources and economic status, lack of Social Support Perceived, and lack of time may influence the diabetes self-management. Family factors lead to patients’ diabetes self-management such as lack of knowledge and skill to support patients in diabetes management and quality of the relationship between patients-family. Health care providers factors included beliefs, attitudes, knowledge and skill and patient–family-provider interaction and communication. Other factors lead to diabetes self-management and health care provider performance to provide the intervention from organization level such as integrated health system sufficiency health insurance to support resources. A deeper understanding of the barriers in diabetes management is necessary to improve the diabetes care and quality of health care services for patients with diabetes. Further research needs to consider these barriers before designing the effective, sensitive interventions and problem solving for diabetes care


2020 ◽  
Vol 26 (10) ◽  
pp. 1070-1076
Author(s):  
Saul Blecker ◽  
Emily Lemieux ◽  
Margaret M. Paul ◽  
Carolyn A. Berry ◽  
Matthew F. Bouchonville ◽  
...  

Objective: The Endocrinology ECHO intervention utilized a tele-mentoring model that connects primary care providers (PCPs) and community health workers (CHWs) with specialists for training in diabetes care. We evaluated the impact of the Endo ECHO intervention on healthcare utilization and care for Medicaid patients with diabetes in New Mexico. Methods: Between January 2015 and April 2017, patients with complex diabetes from 10 health centers in NM were recruited to receive diabetes care from a PCP and CHW upskilled through Endo ECHO. We matched intervention patients in the NM Medicaid claims database to comparison Medicaid beneficiaries using 5:1 propensity matching. We used a difference-in-difference (DID) approach to compare utilization and processes of care between intervention and comparison patients. Results: Of 541 Medicaid patients enrolled in Endo ECHO, 305 met inclusion criteria and were successfully matched. Outpatient visits increased with Endo ECHO for intervention patients as compared to comparison patients (rate ratio, 1.57; 95% confidence interval [CI], 1.43 to 1.72). The intervention was associated with an increase in emergency department (ED) visits (rate ratio, 1.30; 95% CI, 1.04 to 1.63) but no change in hospitalizations (rate ratio, 1.47; 95% CI, 0.95 to 2.23). Among intervention patients, utilization of metformin increased from 57.1% to 60.7%, with a DID between groups of 8.8% (95% CI, 4.0% to 13.6%). We found similar increases in use of statins (DID, 8.5%; 95% CI, 3.2% to 13.8%), angiotensin-converting enzyme inhibitors (DID, 9.5%; 95% CI, 3.5% to 15.4%), or antidepressant therapies (DID, 9.4%; 95% CI, 1.1% to 18.1%). Conclusion: Patient enrollment in Endo ECHO was associated with increased outpatient and ED utilization and increased uptake of prescription-related quality measures. No impact was observed on hospitalization. Abbreviations: ACE = angiotensin-converting enzyme; ARB = angiotensin receptor blocker; CHW = community health worker; CI = confidence interval; DID = difference-in-difference; ED = emergency department; HbA1c = glycated hemoglobin; PCP = primary care provider


Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 926-P
Author(s):  
LAUREN E. WISK ◽  
MARY BETH LANDRUM ◽  
CHRISTINA FU ◽  
ALYNA CHIEN

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