Hostname: page-component-848d4c4894-nr4z6 Total loading time: 0 Render date: 2024-05-15T11:34:36.227Z Has data issue: false hasContentIssue false

Needs Assessment and Best Practices for Digital Trainings for Health Professionals in Ethiopia Using the RE-AIM Framework: COVID-19, Case Study

Published online by Cambridge University Press:  13 October 2022

Joshua S. Yudkin*
Affiliation:
University of Texas Health Sciences Center at Houston, School of Public Health, Department of Epidemiology, Human Genetics and Environmental Sciences, Dallas, TX, USA
Richard M. Hodes
Affiliation:
The Joint Distribution Committee (JDC), New York, NY, USA
Avital Sandler-Loeff
Affiliation:
The Joint Distribution Committee (JDC), New York, NY, USA
Sarah E. Messiah
Affiliation:
University of Texas Health Sciences Center at Houston, School of Public Health, Department of Epidemiology, Human Genetics and Environmental Sciences, Dallas, TX, USA Center for Pediatric Population Health, UTHealth School of Public Health and Children’s Health System of Texas, Dallas, TX, USA
*
Corresponding author: Josh Yudkin, Email: Joshua.Yudkin@uth.tmc.edu.

Abstract

Objectives:

This study is aimed to assess the implementation science outcomes of the coronavirus disease (COVID-19) e-health educational intervention in Ethiopia targeting health care workers via the RE-AIM (Reach, Effectiveness, Adaption, Implementation, Maintenance) framework.

Methods:

A series of three 1-hour medical seminars focused on COVID-19 prevention and treatment education were conducted between May and August 2020. Educational content was built from medical sites previously impacted by COVID-19. Post-seminar evaluation information was collected from physician and other participants by a survey instrument. Cross-sectional evaluation results are reported here by RE-AIM constructs.

Results:

The medical seminars reached 324 participants. Key success metrics include that 90% reporting the information delivered in a culturally sensitive/tailored manner (effectiveness), 80% reporting that they planned to share the information presented with someone else (adoption and implementation), and 64% reporting using information presented in their daily clinical responsibilities 6 months after the first medical seminars (maintenance).

Conclusion:

Grounded in a theoretical framework and following evidence-based best practices, this intervention advances the field of dissemination and implementation science by demonstrating how to transition health care training and delivery from an in-person to digital medium in low-resource settings like Ethiopia.

Type
Original Research
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc.

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Brandt, M, Rasmussen, K, Peñuelas, J, et al. Human population growth offsets climate-driven increase in woody vegetation in sub-Saharan Africa. Nat Ecol Evol. 2017;1(4):0081.Google ScholarPubMed
Dyer, O. Covid-19: no large hidden outbreak in Africa but health worker shortage worsens. BMJ-BRIT MED J. 2020;370. Published online July 3 2020.Google ScholarPubMed
World Health Statistics 2015. Geneva: World Health Organization; 2015. 2016;2012. Accessed December 20, 2021. https://www.who.int/docs/default-source/gho-documents/world-health-statistic-reports/world-health-statistics-2015.pdf.Google Scholar
Gage, A, Bauhoff, S. Health systems in low-income countries will struggle to protect health workers from COVID-19. Center for Global Development; 2020.Google Scholar
Wadvalla, B-A. How Africa has tackled COVID-19. BMJ-BRIT MED J. 2020;370. Published online July 16, 2020.Google ScholarPubMed
Asemahagn, MA. Factors determining the knowledge and prevention practice of healthcare workers towards COVID-19 in Amhara region, Ethiopia: a cross-sectional survey. Trop Med Health. 2020;48(1):1-11.Google ScholarPubMed
Osseni, IA. COVID-19 pandemic in sub-Saharan Africa: preparedness, response, and hidden potentials. Trop Med Health. 2020;48(1):1-3.Google ScholarPubMed
Olum, R, Chekwech, G, Wekha, G, et al. Coronavirus disease-2019: knowledge, attitude, and practices of health care workers at Makerere University Teaching Hospitals, Uganda. Front Public Health. 2020;8:181.CrossRefGoogle ScholarPubMed
Mars, M. Building the capacity to build capacity in e-health in sub-Saharan Africa: the KwaZulu-natal experience. TELEMED E-HEALTH. 2012;18(1):32-37.CrossRefGoogle ScholarPubMed
Gaglio, B, Shoup, JA, Glasgow, RE. The RE-AIM framework: a systematic review of use over time. Am J Public Health. 2013;103(6):e38-e46.CrossRefGoogle ScholarPubMed
Abramson, JH, Abramson, ZH, Abramson, JH. Making sense of data: a self-instruction manual on the interpretation of epidemiological data. 3rd ed. Oxford University Press; 2001.Google Scholar
Neta, G, Brownson, RC, Chambers, DA. Opportunities for epidemiologists in implementation science: a primer. Am J Epidemiol. 2018;187(5):899-910.CrossRefGoogle ScholarPubMed
Messiah, SE, Sacher, PM, Yudkin, J, et al. Application and effectiveness of e-health strategies for metabolic and bariatric surgery patients: a systematic review. Digital Health. 2020;6:2055207619898987.CrossRefGoogle Scholar
Kwan, BM, Mcginnes, H, Ory, M, et al. RE-AIM in the real world: use of the RE-AIM framework for program planning and evaluation in clinical and community settings. Front Public Health. 2019;7:345.CrossRefGoogle ScholarPubMed
Vinson, CA, Stamatakis, KA, Kerner, J. Dissemination and implementation research in community and public health settings. In: Brownson RC, Colditz GA, Proctor EK, eds. Dissemination and Implementation Research in Health. Oxford University Press; 2017:355-370.Google Scholar
Quinn, AK, Neta, G, Sturke, R, et al. Adapting and operationalizing the RE-AIM framework for implementation science in environmental health: clean fuel cooking programs in low resource countries. Front Public Health. 2019;7:389.CrossRefGoogle ScholarPubMed
Namiki, H, Kobayashi, T. Academic start-up support using tele-education improved self esteem of a rural general physician. Int J Fam Commun Med. 2017;1(3):00015.Google Scholar
Sarfo, FS, Adamu, S, Awuah, D, Ovbiagele, B. Tele-neurology in sub-Saharan Africa: a systematic review of the literature. J Neurol Sci. 2017;380:196-199.CrossRefGoogle ScholarPubMed
Pratt, B. Inclusion of marginalized groups and communities in global health research priority-setting. JERHRE. 2019;14(2):169-181.Google ScholarPubMed
Pratt, B, Merritt, M, Hyder, AA. Towards deep inclusion for equity-oriented health research priority-setting: a working model. Soc Sci Med. 2016;151:215-224.CrossRefGoogle ScholarPubMed
Viswanathan, M, Ammerman, A, Eng, E, et al. Community-based participatory research: assessing the evidence: summary. In: AHRQ evidence report summaries. Agency for Healthcare Research and Quality (US); 2004.Google Scholar
Glasgow, RE, Harden, SM, Gaglio, B, et al. RE-AIM planning and evaluation framework: adapting to new science and practice with a 20-year review. Front Public Health. 2019;7:64.CrossRefGoogle ScholarPubMed
Neta, G, Brownson, RC, Chambers, DA. Opportunities for epidemiologists in implementation science: a primer. Am J Epidemiol. 2018;187(5):899-910. https://doi.org/10.1093/aje/kwx323.CrossRefGoogle ScholarPubMed
Building Foundations for E-Health: Progress of Member States: Report of the WHO Global Observatory for E-Health. World Health Organization. Published 2006. Accessed December 20, 2021. https://apps.who.int/iris/handle/10665/43599.Google Scholar
Kobayashi, T, Namik, H. Academic start-up support using tele-education improved self-esteem of a rural general physician. Int J Fam Commun Med. 2017;1(3):58-60.CrossRefGoogle Scholar
Mars, M, Scott, RE. Global e-health policy: a work in progress. Health Aff. 2010;29(2):237-243.Google ScholarPubMed
Supplementary material: File

Yudkin et al. supplementary material

Yudkin et al. supplementary material

Download Yudkin et al. supplementary material(File)
File 12.1 KB