Dataset Information

The Demographic and Health Surveys Faculty Fellows Program: Successes, Challenges, and Lessons Learned.

ABSTRACT: Primarily funded by the United States Agency for International Development (USAID), the Demographic and Health Surveys (DHS) Faculty Fellows Program is designed to strengthen the institutional capacity of universities in low- and middle-income countries to use and analyze DHS data. This article provides an overview of the program's evolution and its current form; presents successes and impacts; and discusses challenges, lessons learned, and potential further directions.Initiated in 2008, the Fellows Program underwent several rounds of improvement. The current model involves a competitive team application process, 2 intensive in-person workshops, completion of a working paper of publishable quality, and the transfer of analysis skills learned during the fellowship to students and colleagues at home universities, all completed over 1 year. Since 2011, the Fellows Program has trained 152 researchers from 45 universities in 25 countries in Africa, Asia, and the Middle East. The program has not only strengthened individual skills in conducting research with data from large surveys but also substantially increased institutional capacity to analyze DHS data through fellows' capacity-building activities at their home universities. These successes have happened despite the many and continuing challenges related to fellows' diverse backgrounds, experience, skills, language barriers, logistical difficulties in organizing in-person workshops in fellows' countries, and sometimes fellows' varying levels of commitment.With continuous support from USAID, the program hopes to expand to more universities and countries, especially francophone countries. Overall, the DHS Faculty Fellows Program has proven to be highly successful and provides a model for other groups aiming to strengthen capacity for data use and research in low- and middle-income countries.

SUBMITTER: Wang W

PROVIDER: S-EPMC8324205 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundCancer Care Delivery (CCD) research studies often require practice-level interventions that pose challenges in the clinical trial setting. The SWOG Cancer Research Network (SWOG) conducted S1415CD, one of the first pragmatic cluster-randomized CCD trials to be implemented through the National Cancer Institute (NCI) Community Oncology Program (NCORP), to compare outcomes of primary prophylactic colony stimulating factor (PP-CSF) use for an intervention of automated PP-CSF standing orders to usual care. The introduction of new methods for study implementation created challenges and opportunities for learning that can inform the design and approach of future CCD interventions.MethodsThe order entry system intervention was administered at the site level; sites were affiliated NCORP practices that shared the same chemotherapy order system. 32 sites without existing guideline-based PP-CSF standing orders were randomized to the intervention (n = 24) or to usual care (n = 8). Sites assigned to the intervention participated in tailored training, phone calls and onboarding activities administered by research team staff and were provided with additional funding and external IT support to help them make protocol required changes to their order entry systems.ResultsThe average length of time for intervention sites to complete reconfiguration of their order sets following randomization was 7.2 months. 14 of 24 of intervention sites met their individual patient recruitment target of 99 patients enrolled per site.ConclusionsIn this paper we share seven recommendations based on lessons learned from implementation of the S1415CD intervention at NCORP community oncology practices representing diverse geographies and patient populations across the U. S. It is our hope these recommendations can be used to guide future implementation of CCD interventions in both research and community settings.Trial registrationNCT02728596 , registered April 5, 2016.

Dataset Information

The Demographic and Health Surveys Faculty Fellows Program: Successes, Challenges, and Lessons Learned.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets