Effective Strategies To Develop Rural Health Workforce In Low and Middle-Income Countries (LMICs)

2021 ◽  
2016 ◽  
Vol 8 (11) ◽  
pp. 278 ◽  
Author(s):  
Aprill Z. Dawson ◽  
Rebekah J. Walker ◽  
Jennifer A. Campbell ◽  
Leonard E. Egede

<p><strong>INTRODUCTION: </strong>Low and middle-income countries face a continued burden of chronic illness and non-communicable diseases while continuing to show very low health worker utilization. With limited numbers of medical schools and a workforce shortage the poor health outcomes seen in many low and middle income countries are compounded by a lack of within country medical training.</p><p><strong>METHODS: </strong>Using a systematic approach, this paper reviews the existing literature on training outcomes in low and middle-income countries in order to identify effective strategies for implementation in the developing world. This review examined training provided by high-income countries to low- and middle-income countries.</p><p><strong>RESULTS: </strong>Based on article eligibility, 24 articles were found to meet criteria. Training methods found include workshops, e-learning modules, hands-on skills training, group discussion, video sessions, and role-plays. Of the studies with statistically significant results training times varied from one day to three years. Studies using both face-to-face and video found statistically significant results.</p><p><strong>DISCUSSION:</strong> Based on the results of this review, health professionals from high-income countries should be encouraged to travel to low- middle-income countries to assist with providing training to health providers in those countries.</p>


2010 ◽  
Vol 89 (3) ◽  
pp. 184-194 ◽  
Author(s):  
Tim A Bruckner ◽  
Richard M Scheffler ◽  
Gordon Shen ◽  
Jangho Yoon ◽  
Dan Chisholm ◽  
...  

Across the world, there is a critical expansion in digital technology through all fields, including health. Electronic health (e-Health) is the future of healthcare. E-Health could help in building better healthcare systems since it can be adopted to enhance communications, train the health workforce, assist in job-related tasks and supervision. Additionally, precision medicine (PM), which is a modern approach in low and middle-income countries (LMICs), could facilitate addressing chronic diseases. Such techniques could promote innovative public health interventions that will improve population well-being worldwide to satisfy the indicators of sustainable development goal number-3 (SDG-3) that stresses on ensuring healthy lives and promoting welfare for all. However, e-Health data could be both a gain and a challenge for LMICs. A transformational and synergetic strategy is necessary to adopt these techniques as it would sustainably minimize the expanses of healthcare. Yet, national adoption of e- Health is gradually progressing in several LMICs. This review highlights the recent advances and future applications of mobile health and its impact on people's lives in the LMICs. It also displays perceptiveness towards the best practice for scaling electronic health (e-Health) initiatives in the LMICs guided by adapted experience from real case studies and exploring the impact on designing and deploying future health initiatives, especially for improving the health workforce. Finally, It suggests a structure for data governance policy to limit the hazards of breaching or abusing health data in e-Health platforms.


2020 ◽  
Vol 2 (SP1) ◽  
pp. 158-163

Across the world, there is a critical expansion in digital technology through all fields, including health. Electronic health (e-Health) is the future of healthcare. E-Health could help in building better healthcare systems since it can be adopted to enhance communications, train the health workforce, assist in job-related tasks and supervision. Additionally, precision medicine (PM), which is a modern approach in low and middle-income countries (LMICs), could facilitate addressing chronic diseases. Such techniques could promote innovative public health interventions that will improve population well-being worldwide to satisfy the indicators of sustainable development goal number-3 (SDG-3) that stresses on ensuring healthy lives and promoting welfare for all. However, e-Health data could be both a gain and a challenge for LMICs. A transformational and synergetic strategy is necessary to adopt these techniques as it would sustainably minimize the expanses of healthcare. Yet, national adoption of e- Health is gradually progressing in several LMICs. This review highlights the recent advances and future applications of mobile health and its impact on people's lives in the LMICs. It also displays perceptiveness towards the best practice for scaling electronic health (e-Health) initiatives in the LMICs guided by adapted experience from real case studies and exploring the impact on designing and deploying future health initiatives, especially for improving the health workforce. Finally, It suggests a structure for data governance policy to limit the hazards of breaching or abusing health data in e-Health platforms.


2017 ◽  
Vol 38 (1) ◽  
pp. 145-164 ◽  
Author(s):  
Nicole D. Ford ◽  
Shivani A. Patel ◽  
K.M. Venkat Narayan

We have reviewed the distinctive features of excess weight, its causes, and related prevention and management efforts, as well as data gaps and recommendations for future research in low- and middle-income countries (LMICs). Obesity is rising in every region of the world, and no country has been successful at reversing the epidemic once it has begun. In LMICs, overweight is higher in women compared with men, in urban compared with rural settings, and in older compared with younger individuals; however, the urban–rural overweight differential is shrinking in many countries. Overweight occurs alongside persistent burdens of underweight in LMICs, especially in young women. Changes in the global diet and physical activity are among the hypothesized leading contributors to obesity. Emerging risk factors include environmental contaminants, chronic psychosocial stress, neuroendocrine dysregulation, and genetic/epigenetic mechanisms. Data on effective strategies to prevent the onset of obesity in LMICs or elsewhere are limited. Expanding the research in this area is a key priority and has important possibilities for reverse innovation that may also inform interventions in high-income countries.


Sign in / Sign up

Export Citation Format

Share Document