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. 2019 Mar 14:8:289.
doi: 10.12688/f1000research.18497.2. eCollection 2019.

Boosting diabetes and pre-diabetes detection in rural Ghana

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Boosting diabetes and pre-diabetes detection in rural Ghana

Bernard Effah Nyarko et al. F1000Res. .

Abstract

Background: Diabetes is a growing worldwide disease with serious consequences to health and with a high financial burden. Ghana is one of the developing African countries where the prevalence of diabetes is increasing. Moreover, many cases remain undiagnosed, when along with pre-diabetic cases they can be easily detected. The main objective of this study is to propose a novel method to increase diabetes and pre-diabetes early detection in rural areas. A secondary aim is to look for new related behavioral determinants specific to rural Ghana, by comparing subjects at risk with those already diagnosed as diabetic. Methods: The detection approach was based on tests performed pro-actively by community nurses using glucometers and mobile phone apps. As a pilot for future policies, glycemic tests were carried out on 101 subjects from rural communities in Ghana deemed at risk and unaware of their diabetic/pre-diabetic status. A comparison of dietary and lifestyle habits of the screened people was conducted in regards to a cohort of 103 diabetic patients from the same rural communities. Participants for both groups were found through snow-ball sampling. Results: The pilot screening detected 2 diabetic subjects (2% of the cohort) showing WHO diabetic glycemic values, and 20 pre-diabetic subjects (19.8% of the cohort) which showed the effectiveness of the user-friendly approach. Conclusions: Policies based on prevention screening as reported in the manuscript have the potential to reduce diabetes incidence, if actions are taken while patients are pre-diabetic, reduce complication related to late diagnosis and indirectly related health-care costs in the country. The need for further campaigns on alcohol consumption and physical activity has emerged, even in rural areas.

Keywords: Ghana; community health workers; diabetes; mHealth; pre-diabetes; rural health.

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Conflict of interest statement

No competing interests were disclosed.

Figures

Figure 1.
Figure 1.. Screen-shots showing some of the guided questions the community nurse were completing while performing the glucose tests.
The questions related to diet were based on general consumption for a typical week and not the week at point of sampling.
Figure 2.
Figure 2.. A typical two steps screening, first a nurse is performing a glucose test (on the left), and then the data are recorded through the app (on the right).

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