192 Assessment of Local Health Worker Attitudes Toward International Medical Volunteers in Low- and Middle-Income Countries: A Global Survey

2019 ◽  
Vol 74 (4) ◽  
pp. S76
Author(s):  
N.S. Naik ◽  
C. Bae ◽  
M. Misak ◽  
S. Barnes ◽  
A. Papali ◽  
...  
Keyword(s):  
Health Worker ◽  
International Medical ◽  
Local Health ◽  
Middle Income ◽  
Global Survey ◽  
Worker Attitudes ◽  
Middle Income Countries ◽  
Local Health Worker ◽  
Medical Volunteers ◽  
Low And Middle Income

scholarly journals Barriers and facilitators to online medical and nursing education during the COVID-19 pandemic: perspectives from international students from low- and middle-income countries and their teaching staff

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Wen Li ◽  
Robyn Gillies ◽  
Mingyu He ◽  
Changhao Wu ◽  
Shenjun Liu ◽  
...  
Keyword(s):  
Nursing Students ◽  
Online Education ◽  
Response Rate ◽  
International Medical ◽  
Teaching Staff ◽  
Middle Income ◽  
Middle Income Countries ◽  
Education Satisfaction ◽  
Education In China ◽  
Low And Middle Income

Abstract Background The COVID-19 pandemic posed a huge challenge to the education systems worldwide, forcing many countries to provisionally close educational institutions and deliver courses fully online. The aim of this study was to explore the quality of the online education in China for international medical and nursing students from low- and middle-income countries (LMICs) as well as the factors that influenced their satisfaction with online education during the COVID-19 pandemic. Methods Questionnaires were developed and administered to 316 international medical and nursing students and 120 teachers at a university in China. The Chi-square test was used to detect the influence of participants’ personal characteristics on their satisfaction with online education. The Kruskal–Wallis rank-sum test was employed to identify the negative and positive factors influencing the online education satisfaction. A binary logistic regression model was performed for multiple-factor analysis to determine the association of the different categories of influential factors—crisis-, learner-, instructor-, and course-related categories, with the online education satisfaction. Results Overall, 230 students (response rate 72.8%) and 95 teachers (response rate 79.2%) completed the survey. It was found that 36.5% of students and 61.1% of teachers were satisfied with the online education. Teachers’ professional title, students’ year of study, continent of origin and location of current residence significantly influenced the online education satisfaction. The most influential barrier for students was the severity of the COVID-19 situation and for teachers it was the sense of distance. The most influential facilitating factor for students was a well-accomplished course assignment and for teachers it was the successful administration of the online courses. Conclusions Several key factors have been identified that affected the attitudes of international health science students from LMICs and their teachers towards online education in China during the COVID-19 pandemic. To improve the online education outcome, medical schools are advised to promote the facilitating factors and cope with the barriers, by providing support for students and teaching faculties to deal with the anxiety caused by the pandemic, caring for the state of mind of in-China students away from home, maintaining the engagement of out-China students studying from afar and enhancing collaborations with overseas institutions to create practice opportunities at students’ local places.

Conclusion

2021 ◽  
pp. 195-202
Author(s):  
Laura Hakimi ◽  
Anne Geniets ◽  
James O’Donovan ◽  
Niall Winters
Keyword(s):  
Community Health ◽  
Case Studies ◽  
Health Worker ◽  
Community Health Worker ◽  
Middle Income ◽  
Middle Income Countries ◽  
Methodological Research ◽  
Training And Supervision ◽  
Low And Middle Income

Training and supervision are paramount to well-functioning, adaptable Community Health Worker (CHW) programmes. Balancing theoretical and methodological research, lessons from health worker practice, and case studies, this volume has sought to provide a resource to practitioners, policymakers and academics striving to design equitable, participatory CHW programmes. Weaving together interdisciplinary and multiregional perspectives, this book has focussed on the design, implementation and evaluation of technology-based programmes for training and supervision of CHWs, particularly in low- and middle income countries. In doing so, it has set out a roadmap for future equitable, pedagogy-driven CHW programmes.

scholarly journals Impact of Merit-Based Immigration Policies on Brain Drain From Low- and Middle-Income Countries

2020 ◽  
pp. 185-189 ◽  
Author(s):  
Nagi S. El Saghir ◽  
Benjamin O. Anderson ◽  
Julie Gralow ◽  
Gilberto Lopes ◽  
Lawrence N. Shulman ◽  
...  
Keyword(s):  
Brain Drain ◽  
Care Delivery ◽  
International Medical ◽  
Immigration Policies ◽  
International Medical Graduates ◽  
Middle Income ◽  
Middle Income Countries ◽  
Medical Graduates ◽  
Trump Administration ◽  
Low And Middle Income

PURPOSE Brain drain is the migration of educated and skilled individuals from a less developed region or country to a more economically established one. The Trump administration proposed a merit-based immigration plan. This article addresses its potential impact on health care delivery in low- and middle-income countries (LMICs) and their preparedness to deal with it. MATERIALS AND METHODS Data on immigration policies, numbers of international medical graduates practicing in high-income countries (HICs), various scientific exchange methods, and efforts for capacity building in LMICs. RESULTS Talented individuals seek to advance their knowledge and skills, and may stay in HICs because of greater rewards and opportunities. HICs also rely on immigrant international medical graduates to supplement their physician workforces. CONCLUSION Ambitious individuals from LMICs need and should have opportunities to advance their education and training in more advanced countries. LMICs should increase their educational efforts, research capabilities, infrastructures, and living conditions to better serve their own populations and reduce their brain drain phenomenon.

Scarcity and inequity of mental health research resources in low-and-middle income countries: A global survey

Health Policy ◽  
2010 ◽  
Vol 94 (3) ◽  
pp. 211-220 ◽  
Author(s):  
Denise Razzouk ◽  
Pratap Sharan ◽  
Carla Gallo ◽  
Oye Gureje ◽  
Exaltacion E. Lamberte ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Research ◽  
Mental Health Research ◽  
Middle Income ◽  
Global Survey ◽  
Middle Income Countries ◽  
Research Resources ◽  
Low And Middle Income

scholarly journals A Practical Measure of Health Facility Efficiency: an Innovation in the Application of Routine Health Information to Determine Health Worker Productivity in Ethiopia

2021 ◽  
Author(s):  
Md Zabir Hasan ◽  
Girmaye D. Dinsa ◽  
Peter Berman
Keyword(s):  
Health Worker ◽  
Health Facility ◽  
Health Workers ◽  
Principal Component ◽  
Practical Application ◽  
Summary Measure ◽  
Worker Productivity ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low And Middle Income

Abstract BackgroundA simple indicator of technical efficiency, such as productivity of health workers, measured using routine health facility data, can be a practical approach that can inform initiatives to improve efficiency in low and middle-income countries. This paper presents a proof of concept of using routine information from primary healthcare (PHC) facilities to measure health workers’ productivity and its application in three regions of Ethiopia.MethodsIn four steps, we constructed a productivity measure of the health workforce of Health Centers (HCs) and demonstrated its practical application: (1) developing an analytical dataset using secondary data from health management information systems (HMIS) and human resource information system (HRIS); (2) principal component analysis and factor analysis to estimate a summary measure of output from five indicators (annual service volume of outpatient visits, family planning, first antenatal care visits, facility-based deliveries by skilled birth attendance, and children [<1 year] with three pentavalent vaccines); (3) calculating a productivity score by combining the summary measure and the total number of health workers (input); and (4) implementing regression models to identify the determinant of productivity and ranking HCs based on their adjusted productivity score. ResultsWe developed an analytical dataset of 1,128 HCs; however, significant missing values and outliers were reported in the data. The principal component and factor scores developed from the five output measures were highly consistent (correlation coefficient = 0.98). We considered the factor score as the summary measure of outputs for estimating productivity. A very weak association was observed between the summary measure of output and the total number of staff. The result also highlighted a large variability in productivity across similar health facilities in Ethiopia, represented by the significant dispersion in summary measure of output occurring at similar levels of the health workers. ConclusionsWe successfully demonstrated the analytical steps to estimate health worker productivity and its practical application using HMIS and HRIS. The methodology presented in this study can be readily applied in low and middle-income countries using widely available data – such as DHIS2 – that will allow further explorations to understand the causes of technical inefficiencies in the health system.

scholarly journals A Checklist for Implementing Rural Pathways to Train, Develop and Support Health Workers in Low and Middle-Income Countries

2020 ◽  
Vol 7 ◽  
Author(s):  
Belinda O'Sullivan ◽  
Bruce Chater ◽  
Amie Bingham ◽  
John Wynn-Jones ◽  
Ian Couper ◽  
...  
Keyword(s):  
Health Worker ◽  
Health Workers ◽  
Scale Up ◽  
Field Testing ◽  
Workforce Training ◽  
Practical Implementation ◽  
Middle Income ◽  
Middle Income Countries ◽  
Rural Workforce ◽  
Low And Middle Income

Background: There is an urgent need to scale up global action on rural workforce development. This World Health Organization-sponsored research aimed to develop a Rural Pathways Checklist. Its purpose was to guide the practical implementation of rural workforce training, development, and support strategies in low and middle-income countries (LMICs). It was intended for any LMICs, stakeholder, health worker, context, or health problem.Method: Multi-methods involved: (1) focus group concept testing; (2) a policy analysis; (3) a scoping review of LMIC literature; (4) consultation with a global Expert Reference Group and; (5) field-testing over an 18-month period.Results: The Checklist included eight actions for implementing rural pathways in LMICs: establishing community needs; policies and partners; exploring existing workers and scope; selecting health workers; education and training; working conditions for recruitment and retention; accreditation and recognition of workers; professional support/up-skilling and; monitoring and evaluation. For each action, a summary of LMICs-specific evidence and prompts was developed to stimulate reflection and learning. To support implementation, rural pathways exemplars from different WHO regions were also compiled. Field-testing showed the Checklist is fit for purpose to guide holistic planning and benchmarking of rural pathways, irrespective of LMICs, stakeholder, or health worker type.Conclusion: The Rural Pathways Checklist provides an agreed global conceptual framework for the practical implementation of “grow your own” strategies in LMICs. It can be applied to scale-up activity for rural workforce training and development in LMICs, where health workers are most limited and health needs are greatest.

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