ArticleSouth Dakota medicine : the journal of the South Dakota State Medical Association2020
Improving Hepatitis C Screening in the Baby Boomer Birth Cohort in Rural South Dakota: A Medical Student HQIP Project.
Article in South Dakota medicine : the journal of the South Dakota State Medical Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
The trial behind it
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
1 citing paper in PubMed.
- Trends in viral hepatitis-related mortality in the United States from 1999 to 2022: A retrospective study.World journal of hepatology · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Hepatitis C is a bloodborne viral infection that often leads to liver disease. Individuals born between 1945-1965 (baby boomer birth cohort) are five times more likely to have hepatitis C than other age groups due to blood transfusions and medical procedures performed before the discovery of the virus. The Centers for Disease Control and Prevention and the U.S. Preventive Services Task Force recommend a one-time screening for individuals in the baby boomer birth cohort. Even with these recommendations, national screening rates remain low at around 13 percent, suggesting a need for improvement. In this study we reviewed the electronic medical record (EMR) data for a rural primary care clinic and determined the percentage of individuals screened in the baby boomer birth cohort in a one-year time period. Interventions (provider/nursing education, community education) were implemented over a four-month period. We compared the EMR data from before, during, and after interventions. Pearson's chi-squared analysis was used to evaluate differences in proportions. The results showed no statistical significance between the three timeframes measured (p-value 0.6164). We can conclude that the interventions used in this study were not adequate in producing a statistically significant change in the percentage of baby boomers screened at our local clinic. These results could be due to interventions not being implemented simultaneously, lack of follow-up with staff regarding interventions, and a short time frame for measuring post-intervention changes. Future projects may benefit from modifying interventions and their implementation.
Indexed as
Identifiers
32135047PMC8027993What OpenQuestion holds
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.