scholarly journals Factors Influence Diabetes Mellitus Control at a Primary Health Care Facility in Durban, South Africa

2021 ◽  
pp. 1-8
Author(s):  
Akm Monjurul Hoque ◽  
Akm Monjurul Hoque ◽  
Somaya Buckus ◽  
Maariyah Hoque ◽  
ME Hoque
Keyword(s):  
Diabetes Mellitus ◽  
South Africa ◽  
Health Care ◽  
Logistic Regression ◽  
Primary Health Care ◽  
Glycaemic Control ◽  
Blood Sugar ◽  
Health Care Facilities ◽  
Diabetes Control ◽  
Primary Health

Background: Type-2 diabetes mellitus, a non-communicable disease contributes significantly to morbidity and mortality in South Africa. It is considered a silent epidemic in certain countries in the world with the incidence expected to rapidly escalate due to ageing of the population. Little is known about the treatment outcome from Primary Health Care facilities in SA. The study estimated control and determinants of diabetes control among rural black patients attended a PHC facility. Method: A cross-sectional prospective design was adopted. Chi-square test was carried out to find significant association between dependent and independent variables. Forward stepwise logistic regression was performed to determine the significant predictor for diabetes control. Two-sided statistical tests were performed at 0.05 level of significance. Result: A total of 240 DM patients were recruited and (68.7%) of them had HbA1c level measured) and only 49 (29.7%) were found with glycaemic control. Logistic regression analysis showed that patients those read newspaper daily or almost daily were almost three times (OR=2.6) more likely to have control. Patients those measured the blood sugar at home were 4.4 times more likely to have their diabetes controlled. It was found that knowing normal blood sugar had four times more chances of controlling their diabetes than those did not know. Duration of DM treatment (5-9 years) was 60% less likely to have DM control that those had 10 or more years of DM treatment (p<0.05). Conclusion: Glycaemic control of DM was poor and identified several factors towards diabetes control among DM patient. Training and education to healthcare workers and DM patients may lead to improve DM control.

scholarly journals Prevalence and Predictors of Diabetes Mellitus Among Persons Living With HIV (PLWH)

2020 ◽  
Author(s):  
DAVID MOHAMMED UMAR ◽  
PANJASARAM NAIDOO
Keyword(s):  
Diabetes Mellitus ◽  
South Africa ◽  
Health Care ◽  
Blood Sugar ◽  
Health Care Facilities ◽  
Older Age ◽  
Persons Living With Hiv ◽  
Kwazulu Natal ◽  
Care Facilities ◽  
Living With Hiv

Abstract Background: Diabetes mellitus is a chronic non-infectious medical condition which is evident by raised levels of glucose in the blood, because the body cannot produce any or enough of the hormone insulin or use insulin effectively. Diabetes, if not well managed leads to complications such as neuropathy, retinopathy, nephropathy which can be fatal. Some of the factors that predisposes to diabetes include older age, higher body mass index, heredity and hypertension. With the availability of HAART for the managing HIV/AIDS infection, life span of persons living with HIV (PLWH) has increased significantly. With increased longevity, the aging population of PLWH also face chronic diseases such as diabetes in addition to HIV. The burden of both HIV and diabetes is high in South Africa, particularly in KwaZulu-Natal. Nevertheless, the prevalence of diabetes among PLWH in KwaZulu-Natal and its predictors is not well understood. Therefore, this study was conducted to determine the prevalence, predictors of diabetes and the outcome of managing diabetes among PLWH.Methods: The study was conducted in four public health care facilities in KwaZulu-Natal after ethical approval and informed consent were obtained. A pretested questionnaire and hospital patient charts were used to collect data. SPSS version was used to analyze the data using descriptive statistics and logistic regression. Results: The prevalence of diabetes among PLWH was 9%. This was higher than the prevalence of diabetes of 5.4% among the general population in South Africa. Just over 47% of those who had diabetes, had uncontrolled blood sugar, with a mean fasting blood sugar (FBS) of 11.7 mmol/L. The predictors of diabetes among PLWH were, male gender and older age. Male PLWH had 65% less chances of having diabetes and those who were between the ages of 18 and 48 years were 88% less probable to have diabetes compared to those who were older than 48 years.Conclusion: Public sector health care facilities in KwaZulu-Natal need to do much more to manage diabetes in PLWH in order to prevent diabetic complications and possible negative impact on the outcome of HIV management.

scholarly journals COVID-19 Vaccine Acceptance by Patients Attending a Primary Health Care Facility in Durban

2021 ◽  
pp. 1-7
Author(s):  
Akm Monjurul Hoque ◽  
Akm Monjurul Hoque ◽  
Somaya Buckus ◽  
Maariyah Hoque ◽  
ABM Mahbub ul Alam ◽  
...  
Keyword(s):  
South Africa ◽  
Health Care ◽  
Logistic Regression ◽  
Primary Health Care ◽  
Health Centre ◽  
Acceptance Rate ◽  
Preventive Strategy ◽  
Public Places ◽  
Vaccine Acceptance ◽  
Primary Health

Introduction: There is no specific treatment and vaccine for COVID-19 yet. The prospective vaccine is the primary prevention and is the promising preventive strategy to gain herd immunity. The study aimed to identify COVID-19 vaccine acceptance rate among primary health care attendees at Durban, South Africa. Method: A questionnaire based cross-sectional study was conducted at the Kwadabeka Community Health Centre, Durban, South Africa. Chi-square test and logistic regression were carried out to identify the factors for COVID-19 vaccine acceptability. P-values <0.05 were reported and considered statistically significant. Results: Almost two-thirds (61.4%) of the participants reported that they would accept a COVID-19 vaccine. Logistic regression analysis found that respondents’ attitude on whether “COVID-19 pandemic will be dealt with successfully” was 2.3 times more likely to accept the vaccine (OR=2.3, 95% CI: 1.3-3.8, p<0.05) and good practice on “use of a face mask to public places were 3 times more likely to accept the vaccine (OR=3.0, 95% CI: 1.5-6.1, P<0.05). On the contrary, knowledge on “only elderly people die from COVID-19 (False)” revealed that 44% were less likely to accept the vaccine (OR=0.56, 95% CI: 0.33-0.95, P<0.05) and practice on social distance “keep a distance of 1-2 m in public places” was 69% less likely to accept the vaccine (OR=0.31, 95% CI: 0.15-0.63, p<0.05). Conclusion: The COVID-19 vaccine acceptance rate is comparable with other studies. However, community-based studies and a mass educational and communication campaign to promote the COVID-19 vaccination coverage to the general population are recommended.

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