Lessons Learned From HPV Vaccine Delivery in Low-Resource Settings and Opportunities for HIV Prevention, Treatment, and Care Among Adolescents

2014 ◽  
Vol 66 ◽  
pp. S209-S216 ◽  
Author(s):  
Vivien D. Tsu ◽  
Tania Cernuschi ◽  
D. Scott LaMontagne
2009 ◽  
Vol 2 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Allison Bingham ◽  
Amynah Janmohamed ◽  
Rosario Bartolini ◽  
Hilary M. Creed-Kanashiro ◽  
Yanuar Ruhweza Katahoire ◽  
...  

Surgery ◽  
2015 ◽  
Vol 158 (1) ◽  
pp. 33-36 ◽  
Author(s):  
Greg Elder ◽  
Richard A. Murphy ◽  
Patrick Herard ◽  
Kelly Dilworth ◽  
David Olson ◽  
...  

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Julia H. Raney ◽  
Melissa M. Medvedev ◽  
Susanna R. Cohen ◽  
Hilary Spindler ◽  
Rakesh Ghosh ◽  
...  

Abstract Background To develop effective and sustainable simulation training programs in low-resource settings, it is critical that facilitators are thoroughly trained in debriefing, a critical component of simulation learning. However, large knowledge gaps exist regarding the best way to train and evaluate debrief facilitators in low-resource settings. Methods Using a mixed methods approach, this study explored the feasibility of evaluating the debriefing skills of nurse mentors in Bihar, India. Videos of obstetric and neonatal post-simulation debriefs were assessed using two known tools: the Center for Advanced Pediatric and Perinatal Education (CAPE) tool and Debriefing Assessment for Simulation in Healthcare (DASH). Video data was used to evaluate interrater reliability and changes in debriefing performance over time. Additionally, twenty semi-structured interviews with nurse mentors explored perceived barriers and enablers of debriefing in Bihar. Results A total of 73 debriefing videos, averaging 18 min each, were analyzed by two raters. The CAPE tool demonstrated higher interrater reliability than the DASH; 13 of 16 CAPE indicators and two of six DASH indicators were judged reliable (ICC > 0.6 or kappa > 0.40). All indicators remained stable or improved over time. The number of ‘instructors questions,’ the amount of ‘trainee responses,’ and the ability to ‘organize the debrief’ improved significantly over time (p < 0.01, p < 0.01, p = 0.04). Barriers included fear of making mistakes, time constraints, and technical challenges. Enablers included creating a safe learning environment, using contextually appropriate debriefing strategies, and team building. Overall, nurse mentors believed that debriefing was a vital aspect of simulation-based training. Conclusion Simulation debriefing and evaluation was feasible among nurse mentors in Bihar. Results demonstrated that the CAPE demonstrated higher interrater reliability than the DASH and that nurse mentors were able to maintain or improve their debriefing skills overtime. Further, debriefing was considered to be critical to the success of the simulation training. However, fear of making mistakes and logistical challenges must be addressed to maximize learning. Teamwork, adaptability, and building a safe learning environment enhanced the quality enhanced the quality of simulation-based training, which could ultimately help to improve maternal and neonatal health outcomes in Bihar.


JAMA Oncology ◽  
2020 ◽  
Vol 6 (9) ◽  
pp. 1429
Author(s):  
Rebecca J. DeBoer ◽  
Temidayo A. Fadelu ◽  
Lawrence N. Shulman ◽  
Katherine Van Loon

2015 ◽  
Vol 22 (2) ◽  
pp. 479-488 ◽  
Author(s):  
Fleur Fritz ◽  
Binyam Tilahun ◽  
Martin Dugas

Abstract Objective Electronic medical record (EMR) systems have the potential of supporting clinical work by providing the right information at the right time to the right people and thus make efficient use of resources. This is especially important in low-resource settings where reliable data are also needed to support public health and local supporting organizations. In this systematic literature review, our objectives are to identify and collect literature about success criteria of EMR implementations in low-resource settings and to summarize them into recommendations. Materials and Methods Our search strategy relied on PubMed queries and manual bibliography reviews. Studies were included if EMR implementations in low-resource settings were described. The extracted success criteria and measurements were summarized into 7 categories: ethical, financial, functionality, organizational, political, technical, and training. Results We collected 381 success criteria with 229 measurements from 47 articles out of 223 articles. Most papers were evaluations or lessons learned from African countries, published from 1999 to 2013. Almost half of the EMR systems served a specific disease area like human immunodeficiency virus (HIV). The majority of criteria that were reported dealt with the functionality, followed by organizational issues, and technical infrastructures. Sufficient training and skilled personnel were mentioned in roughly 10%. Political, ethical, and financial considerations did not play a predominant role. More evaluations based on reliable frameworks are needed. Conclusions Highly reliable data handling methods, human resources and effective project management, as well as technical architecture and infrastructure are all key factors for successful EMR implementation.


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