Point-of-Care HbA1c—A Case for Diabetes Screening and Diagnosis

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1518-P
Author(s):  
CARRIE J. SZABLOWSKI ◽  
EMILY SUSCHA ◽  
KADDY DAVIS ◽  
CHARLES Z. XIE ◽  
KEITH MOSKOWITZ ◽  
...  
Keyword(s):  
Point Of Care ◽  
Diabetes Screening ◽  
Screening And Diagnosis

scholarly journals Harnessing mHealth to improve the diabetes screening and diagnosis rate in rural Indian settings: a learning from health systems initiative

2019 ◽  
Vol 6 (5) ◽  
pp. 2041
Author(s):  
Akash Gajanan Prabhune ◽  
Aparna Manoharan ◽  
Murugan Arul
Keyword(s):  
Health Care ◽  
Blood Glucose ◽  
High Risk ◽  
Health System ◽  
Phase 1 ◽  
Phase 2 ◽  
Diabetes Screening ◽  
Phase 3 ◽  
Diagnosis Rate ◽  
Screening And Diagnosis

Background: Diabetes forms huge burden of non-communicable diseases that is affecting health care systems in India. India has large number undiagnosed and undetected cases. mHealth initiatives are cost effective, quick and less resource intensive technology assisted initiatives which help to strengthen the health system. High mobile penetration and availability of cheap and high-speed data network across India has been conducive to implement mHealth initiatives in Indian health system. We present our experience in using mHealth initiative to improve the diabetes screening and diagnosis in rural Indian settings.Methods: The study is a descriptive analysis of all the tasks undertaken as part of “Disease free Village” Initiative of our organization. The study data is operational data from our organizational health information management systems. The study is divided into three phase. Phase 1, was dedicated to enrolling entire village population using android smartphone and ODK collect application; phase 2 used clinical decision support system for screening of high risk individuals and phase 3 used traditional door to door campaign to motivating the high risk individuals to get their fast and post prandial blood glucose levels checked at health care facility.Results: Phase 1 was to set a baseline, with 3624 base population, 2651 was target adult population. Rapid screening in phase 2, screened 2204 (83.14%). Out of 2204 screened cases 1307 were high risk cases. 1307 high risk cases were followed in Phase 3, and blood glucose screening was carried out 1156 (88.44%) high and moderate risk individuals out of 1307 (100%).Conclusions: We concluded that the mHealth initiatives for screening and diagnosis of diabetes in rural India, combined with traditional techniques could help to improve screening and diagnosis rate and help to reduce the hidden burden of disease.

Early Pregnancy Diabetes Screening and Diagnosis

2017 ◽  
Vol 130 (5) ◽  
pp. 1136-1142 ◽  
Author(s):  
John F. Mission ◽  
Janet Catov ◽  
Tiffany E. Deihl ◽  
Maisa Feghali ◽  
Christina Scifres
Keyword(s):  
Early Pregnancy ◽  
Diabetes Screening ◽  
Screening And Diagnosis

scholarly journals Systematic Diabetes Screening Using Point-of-Care HbA1c Testing Facilitates Identification of Prediabetes

2017 ◽  
Vol 15 (2) ◽  
pp. 162-164 ◽  
Author(s):  
Heather P. Whitley ◽  
Courtney Hanson ◽  
Jason M. Parton
Keyword(s):  
Point Of Care ◽  
Diabetes Screening

scholarly journals Performance of Point-of-Care Testing Compared with the Standard Laboratory Diagnostic Test in the Measurement of HbA1c in Indonesian Diabetic and Nondiabetic Subjects

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Afiat Berbudi ◽  
Nofri Rahmadika ◽  
Adi Imam Tjahjadi ◽  
Rovina Ruslami
Keyword(s):  
Health Care ◽  
Community Health ◽  
Blood Sample ◽  
Point Of Care ◽  
Community Health Care ◽  
Standard Laboratory ◽  
Diabetes Screening ◽  
Point Of Care Testing ◽  
Diagnostic Laboratory ◽  
Hba1c Measurement

Objective. This study is aimed at investigating if point-of-care testing for HbA1c (POCT-HbA1c) using the HemoCue® HbA1c 501 system could be an alternative method for diabetes screening and monitoring to replace the HbA1c measurement in a standard diagnostic laboratory. Design. This was a cross-sectional study to assess the agreement between POCT and a standard laboratory measurement method for determining the level of HbA1c. Setting and Participants. In total, 108 participants were recruited to participate in this study, consisting of 61 diabetics and 47 nondiabetics. The diabetic group comprised 37 females and 24 males, diagnosed with type 2 diabetes mellitus (DM) and undergoing diabetes treatment at several community health care centres in Bandung, West Java. The nondiabetic group consisted of 15 female and 32 male patients of several community health care centres and healthy volunteers. Sample Collection and Analysis. A venous blood sample was taken for routine HbA1c analysis by the diagnostic laboratory method. For the POCT-HbA1c, a blood sample was taken from the fingertip at the same time and analysed with the HemoCue® HbA1c 501 system. Outcome Measures. The HbA1c results of both methods were compared and analysed with a Bland-Altman agreement plot. The sensitivity and specificity of the POCT-HbA1c data were also compared with those of the standard diagnostic results. Results. Based on the Bland-Altman plot, the HbA1c level for 100 out of 108 (92.59%) subjects analysed by the POCT-HbA1c was within the range of the 95% limit of agreement. Compared with the standard diagnostic assay, the sensitivity of the POCT-HbA1c was 97.83% and its specificity was 77.42%. Conclusions. The high sensitivity and accuracy of POCT-HbA1c indicate that it is a potential method for diabetes screening and monitoring to replace the routine diagnostic laboratory HbA1c measurement, especially when a rapid result is required.

Population-Level Outcomes with a 2-Step Approach for Gestational Diabetes Screening and Diagnosis

2017 ◽  
Vol 41 (6) ◽  
pp. 596-602 ◽  
Author(s):  
L.E. Donovan ◽  
A.L. Edwards ◽  
A. Savu ◽  
S. Butalia ◽  
E.A. Ryan ◽  
...  
Keyword(s):  
Gestational Diabetes ◽  
Population Level ◽  
Diabetes Screening ◽  
Screening And Diagnosis
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