ArticleQatar medical journal2022
Health research-strengthening and capacity development: Research support system model in an academic healthcare system.
Article in Qatar medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
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- Clinicians' experience of the research ready grant program: just-in-time learning to facilitate regional research capacity.BMC health services research · 2025Article
- Strengthening health research capacity for postgraduate trainees: an indigenous realist evaluation of the 'African Research Initiative for Scientific Excellence' programme.Health policy and planning · 2025Article
- Standardization and professionalization of simulated and standardized patient-based education in Qatar: A call for action.Qatar medical journal · 2025Article
- Time-Series Forecasting of Hemodialysis Population in the State of Qatar by 2030.Qatar medical journal · 2023Article
- Association of ultrasonographically determined anatomical location of Bethesda 3 thyroid nodules with differentiated thyroid cancer.Qatar medical journal · 2022Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionHealthcare research contributes to the well-being of a population; hence, it is important to use the right system to ensure that junior researchers develop the required skills. Current research-strengthening and capacity development programs might lack a research process-based common framework or model leading to variable and suboptimal outcomes. This study aimed to describe the development and evaluation of a model for health research-capacity development at both individual and institutional levels in a Joint Commission International-accredited governmental healthcare organization in Qatar.
methodsThis retrospective observational study evaluated a research support system employed in Qatar for 1 year and constituted of16 stations, each covering a different topic and supported by an experienced faculty member. We recorded how many faculty members were involved and how many people accessed which stations. We developed an outcomes logistic model and obtained feedback about their experience of using the research support system through a short survey.
resultsTwenty-one faculty members supported a total of 77 participants, representing various professions and specialties. The majority of the participants received support on multiple stations, and the most solicited were study design and methodology (n = 45, 58.4%) and research idea (n = 29, 37.7%). The most common type of research that participants required support for was clinical research (n = 65, 84.4%). Moreover, 58.4% of the participants answered the survey, and their responses attested to their perceived benefit of making use of the research support system.
conclusionThe research support system presented was positively evaluated by participants and promoted networking. Such aspects are favorable to the development of a research culture within an organization and would be a good addition for implementation in universities running healthcare programs and hospitals with residency programs and a large and varied healthcare workforce. This would contribute to the development of health-related research capacity and quality of research outputs in these institutions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.