The effect of COVID-19 on poor treatment control among ambulatory Hypertensive and/or Diabetic patients in Northwest Ethiopia

Impact of the COVID-19 pandemic on type 2 diabetes care and factors associated with care disruption in Kenya and Tanzania

BACKGROUND

The COVID-19 pandemic affected healthcare delivery globally, impacting care access and delivery of essential services.

OBJECTIVES

We investigated the pandemic's impact on care for patients with type 2 diabetes and factors associated with care disruption in Kenya and Tanzania.

METHODS

A cross-sectional study was conducted among adults diagnosed with diabetes pre-COVID-19. Data were collected in February-April 2022 reflecting experiences at two time-points, three months before and the three months most affected by the COVID-19 pandemic. A questionnaire captured data on blood glucose testing, changes in medication prescription and access, and healthcare provider access.

RESULTS

We recruited 1000 participants (500/country). Diabetes care was disrupted in both countries, with 34.8% and 32.8% of the participants reporting change in place and frequency of testing in Kenya, respectively. In Tanzania, 12.4% and 17.8% reported changes in location and frequency of glucose testing, respectively. The number of health facility visits declined, 14.4% (p < 0.001) in Kenya and 5.6% (p = 0.001) in Tanzania. In Kenya, there was a higher likelihood of severe care disruption among insured patients (adjusted odds ratio [aOR] 1.56, 95% confidence interval [CI][1.05-2.34]; p = 0.029) and a lower likelihood among patients residing in rural areas (aOR, 0.35[95%CI, 0.22-0.58]; p < 0.001). Tanzania had a lower likelihood of severe disruption among insured patients (aOR, 0.51[95%CI, 0.33-0.79]; p = 0.003) but higher likelihood among patients with low economic status (aOR, 1.81[95%CI, 1.14-2.88]; p = 0.011).

CONCLUSIONS

COVID-19 disrupted diabetes care more in Kenya than Tanzania. Health systems and emergency preparedness should be strengthened to ensure continuity of service provision for patients with diabetes.

Adherence to Self - Care Practice Among Type 2 Diabetes Mellitus Patients Using the Theory of Planned Behavior and Health Belief Model at Comprehensive Specialized Hospitals of Amhara Region, Ethiopia: Mixed Method

Background

Diabetes mellitus is one of the major public health problems that requires appropriate self-care practices to reduce complications. The current study assessed adherence to self-care practices and associated factors using the theory of planned behavior and the health belief model among type 2 diabetes mellitus patients.

Methods

A facility-based, sequential explanatory mixed-method was undertaken at comprehensive specialized hospitals in the Amhara region of Ethiopia. A single population proportion formula was used to calculate sample size. Proportional allocation to the three study settings and systematic random sampling techniques were used to select 846 study participants. Logistic regression analysis was used to identify associated factors. Variables with a P-value less than 0.05 were declared statistically significant. For the qualitative study, purposive sampling was used to select sixteen key informants, and thematic analysis was performed.

Results

About 42.4% of the study participants had good adherence to self-care practices. Being a member of a diabetes association (AOR = 2.57, 95% CI: 1.51, 4.38), having a home glucometer (AOR = 2.52, 95% CI: 1.59, 4.02), having good glycemic control (AOR = 4.07, 95% CI: 2.53, 6.53), having low perceived barriers (AOR = 8.65, 95% CI: 4.65, 16.07), and having middle perceived barriers (AOR = 3.26, 95% CI: 1.88, 5.66) were significantly associated with good adherence to self-care practice. On the other hand, poor wealth index (AOR = 0.27, 95% CI: 0.16, 0.46), poor behavioral control (AOR = 0.59, 95% CI: 0.36, 0.97), poor behavioral intention (AOR = 0.36, 95% CI: 0.21, 0.64), low perceived benefits (AOR = 0.20, 95% CI: 0.08, 0.51), and middle perceived benefits (AOR = 0.57, 95% CI: 0.31, 0.83) were significantly associated with poor adherence to self-care practice. The key informants explored the influence of patients' beliefs, self-efficacy, social support, and barriers on their self-care practices.

Conclusion

Less than half of type 2 diabetes mellitus patients had good adherence to self-care practices. This was more evident for patients who are members of a diabetes association, having a high wealth index, having a home glucometer, good behavioral control, good behavioral intentions, high perceived benefit, and poor perceived barriers. Appropriate intervention should be designed based on the aforementioned factors.

COVID-19 impacts on healthcare access in sub-Saharan Africa: an overview

This overview aimed to describe the situation of healthcare access in sub-Saharan Africa, excluding South Africa, during the COVID-19 pandemic. A PubMed^® search from March 31, 2020, to August 15, 2022, selected 116 articles. Healthcare access and consequences of COVID-19 were assessed based on comparisons with months before its onset or an identical season in previous years. A general reduction of healthcare delivery, associated with the decline of care quality, and closure of many specialty services were reported. The impact was heterogeneous in space and time, with an increase in urban areas at the beginning of the pandemic (March-June 2020). The return to normalcy was gradual from the 3^rd quarter of 2020 until the end of 2021. The impact of COVID-19 on the health system and its use was attributed to (a) conjunctural factors resulting from government actions to mitigate the spread of the epidemic (containment, transportation restrictions, closures of businesses, and places of entertainment or worship); (b) structural factors related to the disruption of public and private facilities and institutions, in particular, the health system; and (c) individual factors linked to the increase in costs, impoverishment of the population, and fear of contamination or stigmatization, which discouraged patients from going to health centers. They have caused considerable socio-economic damage. Several studies emphasized some adaptability of the healthcare offer and resilience of the healthcare system, despite its unpreparedness, which explained a return to normal activities as early as 2022 while the COVID-19 epidemic persisted. There appears to be a strong disproportion between the moderate incidence and severity of COVID-19 in sub-Saharan Africa, and the dramatic impact on healthcare access. Several articles make recommendations for lowering the socioeconomic consequences of future epidemics to ensure better management of health issues.

[Impact of COVID-19 on public health in sub-Saharan Africa]

Objective

This work aimed to assess the impact of COVID-19 on healthcare supply in sub-Saharan Africa except South Africa.

Method

A search through PubMed® between April 2020 and August 2022 selected 135 articles. The impact of COVID-19 was assessed on comparisons with the months prior to the onset of COVID-19 or an identical season in previous years.

Results

The decline of health services, associated with a reduction in their quality, and the closure of specialized health units have been reported. Many control programs and public health interventions have been interrupted, with the risk of an increase of the corresponding diseases. Social disorganization has generated mental health issues among the population, including health personnel. The impact was heterogeneous in space and time. The main causes were attributed to containment measures (transport restrictions, trade closures) and the lack of human and material resources. The increase in costs, in addition to the impoverishment of the population, and the fear of being contaminated or stigmatized have discouraged patients from going to health centres. The studies mention the gradual return to normal after the first epidemic wave and the resilience of the healthcare system.

Conclusion

Several articles make recommendations aimed at reducing the impact of future epidemics: support for community workers, training of health workers and reorganization of services to improve the reception and care of patients, technological innovations (use of telephones, drones, etc.) and better information monitoring.

Follow-up conditions of care and associated factors among adult hypertensive patients during COVID-19 at West Arsi public health facilities, Southeastern Ethiopia: A multi-center cross-sectional study

Background

Coronavirus disease (COVID-19) is a viral-borne infection caused by the SARS-CoV-2 virus. Aside from the morbidity and mortality effects, it leaves the majority of hypertensive patients untreated and vulnerable to uncontrolled hypertension.

Objective

The purpose of this study was to assess follow-up conditions of care and its associated factors among adult hypertensive patients during COVID-19 in public health facilities of West Arsi, Southeastern Ethiopia.

Methods

A health facility-based retrospective cross-sectional study was conducted among 423 adult hypertensive patients in the West Arsi public health facilities from July 5 to August 6, 2021. A systematic random sampling technique was used to recruit the study participants. A pretested structured face-to-face interviewer and medical records were used to collect sociodemographic variables, basic clinical features, and follow-up data. The follow-up conditions of care were assessed using 12 items with "yes or no" questions. Then, based on the mean value of the items, the follow-up conditions of care were dichotomized into good and poor. As a result, the follow-up condition was good if the score was greater or equal to the mean, and poor unless otherwise. To investigate parameters related with follow-up conditions of care, bivariable and multivariable logistic regression analyses were used. A 95% confidence interval and a p-value of 0.05 were used to indicate a significant association.

Results

The rate of poor follow-up conditions of care during COVID-19 was 29% (95% confidence interval: 24.9-33.4%), according to this study. Age ≥ 60 years (AOR = 3.55; 95% CI: 2.09-6.03), transportation problem (AOR = 2.43; 95% CI: 1.28-4.61), fear of COVID-19 (AOR = 3.34; 95% CI: 1.59-7.01), co-morbidity (AOR = 1.93; 95% CI: 1.14-3.26) and physical distancing (AOR = 2.43; 95% CI: 1.44-4.12) were significantly associated with poor follow-up conditions of care.

Conclusions

In our study, 29% of the participants had poor follow-up care conditions. When compared to WHO recommendations, the findings of this study may explain poor follow-up care conditions. To enhance patients' follow-up treatment, evidence-based target interventions should be designed and executed, taking into account individuals at high risks, such as those over the age of 60 and those with comorbidities, and identifying additional risk factors.