Limited health care access impairs blood sugar control among low-income urban blacks with type 2 diabetes

2006 ◽  
Keyword(s):  
Type 2 Diabetes ◽  
Health Care ◽  
Blood Sugar ◽  
Low Income ◽  
Health Care Access ◽  
Care Access ◽  
Urban Blacks ◽  
Limited Health

Limited Health Care Access Impairs Glycemic Control in Low Income Urban African Americans With Type 2 Diabetes

2005 ◽  
Vol 16 (4) ◽  
pp. 734-746 ◽  
Author(s):  
Mary K Rhee ◽  
Curtiss B Cook ◽  
Virginia G Dunbar ◽  
Rita M Panayioto ◽  
Kathy J Berkowitz ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Health Care ◽  
African Americans ◽  
Glycemic Control ◽  
Low Income ◽  
Health Care Access ◽  
Care Access ◽  
Limited Health

scholarly journals Health care access and glycemic control in youth and young adults with type 1 and type 2 diabetes in South Carolina

2019 ◽  
Vol 20 (3) ◽  
pp. 321-329 ◽  
Author(s):  
Angela D. Liese ◽  
Xiaonan Ma ◽  
Lauren Reid ◽  
Melanie W. Sutherland ◽  
Bethany A. Bell ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Health Care ◽  
Young Adults ◽  
South Carolina ◽  
Glycemic Control ◽  
Health Care Access ◽  
Care Access ◽  
Youth And Young Adults

scholarly journals Food Insecurity and Low Self-efficacy are Associated with Health Care Access Barriers Among Puerto-Ricans with Type 2 Diabetes

2011 ◽  
Vol 14 (4) ◽  
pp. 552-562 ◽  
Author(s):  
Grace Kollannoor-Samuel ◽  
Sonia Vega-López ◽  
Jyoti Chhabra ◽  
Sofia Segura-Pérez ◽  
Grace Damio ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Health Care ◽  
Food Insecurity ◽  
Health Care Access ◽  
Self Efficacy ◽  
Puerto Ricans ◽  
Access Barriers ◽  
Care Access ◽  
Health Care Access Barriers

Roles for Health Educators in a Time of Health Care Cutbacks: Preventive and Ameliorative Approaches

1984 ◽  
Vol 4 (4) ◽  
pp. 293-302 ◽  
Author(s):  
E. Richard Brown
Keyword(s):  
Health Care ◽  
Low Income ◽  
Health Care Access ◽  
Community Organization ◽  
Public Health Care ◽  
Federal State ◽  
Health Educators ◽  
Care Access ◽  
State And Local ◽  
The Impact

Cutbacks in public health care programs at federal, state, and local levels have reduced the health care access of many low-income persons. Based on findings from several California studies, this article suggests several roles for health educators intended to prevent cutbacks or mitigate their impact. Methods of preventing cutbacks rely on community organization methods and coalitions including health education professional groups. When preventive actions are unsuccessful, health educators may ease the impact of cutbacks by developing adequate education interventions for users of affected services and community organization strategies to improve access to remaining services. Specific methods are suggested and discussed.

scholarly journals Access to Care and Diabetes Management Among Older American Indians With Type 2 Diabetes

2016 ◽  
Vol 29 (2) ◽  
pp. 206-221 ◽  
Author(s):  
Emily J. Nicklett ◽  
Adam Omidpanah ◽  
Ron Whitener ◽  
Barbara V. Howard ◽  
Spero M. Manson
Keyword(s):  
Type 2 Diabetes ◽  
Access To Care ◽  
American Indians ◽  
Health Care Access ◽  
Linear Models ◽  
Diabetes Management ◽  
Care Access ◽  
Multivariate Linear Models ◽  
The Relationship

Objective: To examine the relationship between health care access and diabetes management among a geographically diverse sample of American Indians (AIs) aged 50 and older with type 2 diabetes. Method: We examined the relationship between access to care and diabetes management, as measured by HbA1c, using 1998-1999 data from the Strong Heart Family Study. A series of bivariate and multivariate linear models examined the relationships between nine access-related variables and HbA1c levels. Results: In bivariate analyses, out-of-pocket costs were associated with higher HbA1c levels. No other access-related characteristics were significantly associated with diabetes management in bivariate or in multivariate models. Discussion: Access-related barriers were not associated with worse diabetes management in multivariate analyses. The study concludes with implications for clinicians working with AI populations to enhance opportunities for diabetes management.

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