scholarly journals Effect of COVID-19 on the risk of household demand for health care in Togo

Author(s):  
Yaovi TOSSOU

Abstract Background Barriers on the demand side of the health care system are as important as supply side factors in deterring patients from obtaining effective treatment during COVID-19. Developing countries, including Togo, have focused on reducing the risk of health care use during this period by ensuring basic health care services, as an important policy to improve health outcomes and meet international obligations to make health services accessible. Methods The data used come from a national household survey conducted from 8 to 17 July 2020 covering all 44 districts of Togo's 6 health regions. In each district capital, a minimum of 30 households were included by a systematic random draw at two levels (district then household). On the basis of these data, the multinomial regression model is used to identify the risk factors for the demand for health care services during COVID-19. Results A total of 1946 (with a response rate of 98.3%) participants were included in the study. The conclusion on households over 60 years of age indicates that the relative risk ratio (RRR = 23.97; 95% CI = 0.93; 615.38) allows households to practice self-medication instead of modern care structures. The multinomial model revealed that the relative risk ratio of activities before COVID-19 (RRR = 4.879; 95% CI = 1.018; 23.38) allows households to maintain their choice of self-medication and (RRR = 3.139; 95% CI = 0.91; 0.829) to prefer public health centre. As an educated head of household (RRR = 0.192; 95% CI = 0.017, 2.113) he prefers the choice of private health centre during COVID-19. Conclusions This study found that the majority (30.49%) of patients sought health care. The analysis shows that the loss of employment, pre-COVID-19 activities in households and regions not infected by the pandemic allow households to remain in the choice of health care demand (self-medication and public hospitals) despite the impacts of COVID-19. On the other hand, the level of higher education and age determine an alternative choice of health care provision by households. Therefore, policy makers need to put a particular emphasis on social policies to address household health shocks.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yaovi Tossou

Abstract Background Demand-side barriers to health care are as important as supply-side factors in deterring patients from obtaining effective treatment during COVID-19. Developing countries, including Togo, have focused on reducing the risk of health care utilization during this period by ensuring basic health care services as an important policy to improve health outcomes and meet international obligations to make health services accessible. Methods The data used to cover all 44 districts in the six (6) health regions of Togo, are from a national home survey. They are collected from July 8th to 17th, 2020. In each district chief town, a minimum of thirty (30) households were included by a systematic two-stage random draw (neighborhood and then home). Based on these data, the multinomial regression model was used to identify risk factors for the request for health care services during COVID-19. Results A total of 1946 (with a response rate of 98.3%) participants were addressed in the study. The finding on households with age above 60 years indicated that the relative risk ratio (RRR = 23.97; 95% CI = 0.93; 615.38) allowed them to practice self-medication in lieu of modern healthcare facilities. The multinomial model revealed that the relative risk ratio of pre-COVID-19 activities (RRR = 4.87; 95% CI = 1.018; 23.38) permits households to rely on their self-medication choice and (RRR = 3.14; 95% CI = 0.91; 0.83) prefer public health facilities. Given that the head of the households (RRR = 0.19; 95% CI = 0.017, 2.11) is educated, he prefers the choice of private health centers during COVID-19 pandemic to public health facilities. Conclusion This study has demonstrated that the majority (30.49%) of patients sought health care. The analysis shows that the loss of employment, activities before COVID-19 in households and areas not infected by the pandemics allow them to ask for health care (self-medication and public hospitals) despite the COVID-19 impacts. However, higher education and age determine a different choice of health care delivery by households. Thus, policy makers need to cast special emphasis on social policies to address home health shocks.


2015 ◽  
Vol 180 (1) ◽  
pp. 111-117 ◽  
Author(s):  
Shahed Al-Haque ◽  
Mehmet Erkan Ceyhan ◽  
Stephanie H. Chan ◽  
Deborah J. Nightingale

2003 ◽  
Vol 65 (2) ◽  
pp. 241-260 ◽  
Author(s):  
David E. Sahn ◽  
Stephen D. Younger ◽  
Garance Genicot

Health Policy ◽  
2011 ◽  
Vol 103 (2-3) ◽  
pp. 228-235 ◽  
Author(s):  
Jirawat Panpiemras ◽  
Thitima Puttitanun ◽  
Krislert Samphantharak ◽  
Kannika Thampanishvong

2015 ◽  
pp. 132-151
Author(s):  
Sunilkumar S. Manvi ◽  
Manjula R. B.

Although the present technology has aided in development of high-technology-based disease detection machines, potential medicines and devices, the well-being of the individual remains a challenge. Human beings are struggling to control diseases such as Parkinson's disease, Alzheimer's disease, asthma, hypertension, insomnia, heart disease, and diabetes due to non-availability of patient's real-time data for comprehensive study and analysis. Smart health centre environments represent the evolutionary developmental step towards intelligent health care. The Wireless Sensor Network (WSN) with pervasive and ubiquitous computing may be a solution for this predicament. WSNs are a key technology for ambient assisted living. The concept of WSN is used to measure the various health parameters like blood pressure, blood clot, allergy, ECG, cholesterol, RBCs, etc. In this chapter, the authors highlight the importance of WSNs with respect to health care services and discuss some of its challenging applications for diseases like Parkinson's, Alzheimer's, asthma, and heart disease. They delineate the challenges that researchers face in this area that may lead to future research.


2012 ◽  
Vol 19 (2) ◽  
pp. 92-98 ◽  
Author(s):  
Sophia Eilat-Tsanani ◽  
Hava Tabenkin ◽  
Bibiana Chazan ◽  
Idit Lavi ◽  
Shlomit Cwikel-Hamzany

2020 ◽  
Vol 1 (1) ◽  
pp. 39-44
Author(s):  
Rejoice Luka-Lawal1 ◽  
Jenny Momoh ◽  
Elijah Njoku ◽  
Ivie Esene ◽  
Akhere Asogun

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