Evidence map›Paper›PMID 38375175›Full record

ArticlePreventive medicine reports2024

Differences in Provider Hepatitis C Virus Screening Recommendations by Patient Risk Status.

Alfu Laily, Robert Duncan, Kaitlyn M Gabhart, Lauren D Nephew, Shannon M Christy, Susan T Vadaparampil, Anna R Giuliano, Monica L Kasting

Abstract read
In one paragraph

Article in Preventive medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Alfu LailyDepartment of Public Health, College of Health and Human Sciences, Purdue University, 820 Mitch Daniels Blvd, West Lafayette, IN 47907, USA.
Robert DuncanDepartment of Human Development and Family Studies, College of Health and Human Sciences, Purdue University, 1202 West State St., West Lafayette, IN 47907, USA.
Kaitlyn M GabhartDepartment of Psychology, Vanderbilt University, 230 Appleton Pl, Nashville, TN 37203, USA.
Lauren D NephewDivision of Gastroenterology and Hepatology, Indiana University School of Medicine, 340 W 10th St., Indianapolis, IN 46202, USA.
Shannon M ChristyDepartment of Health Outcomes and Behavior, Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.
Susan T VadaparampilDepartment of Health Outcomes and Behavior, Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.
Anna R GiulianoCenter for Immunization and Infection Research in Cancer, Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.
Monica L KastingDepartment of Public Health, College of Health and Human Sciences, Purdue University, 820 Mitch Daniels Blvd, West Lafayette, IN 47907, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Providers' recommendation is among the strongest predictors to patients engaging in preventive care. Therefore, the aim of this study was to compare providers' Hepatitis C Virus (HCV) screening recommendation quality between high-risk and average-risk patients to determine if providers are universally recommending HCV screening, regardless of risk behaviors. This cross-sectional survey of 284 Indiana providers in 2020 assessed provider characteristics, HCV screening recommendation practices (strength, presentation, frequency, timeliness), self-efficacy, and barriers to recommending HCV screening. T-test and Chi-square compared recommendation practices for high-risk and average-risk patients. Prevalence ratios were calculated for variables associated with HCV recommendation strength comparing high-risk and average-risk patients. Logistic regression analyses examined factors associated with HCV recommendation strength for high- and average-risk patients, with odds ratios. Compared to average-risk patients, high-risk patients received higher proportion of HCV recommendations that were strong (70.4 % v. 42.4 %), routine (61.9 % v. 55.6 %), frequent (37.7 % v. 28 %), and timely (74.2 % v. 54.9 %) (P-values < 0.001). Compared to average-risk patients, providers with high-risk patients had a lower percentage of giving a strong recommendation if they were nurse practitioner (PR = 0.49). For high-risk patients, providers with higher self-efficacy (aOR = 2.16;95 %CI = 0.99-4.69) had higher odds, while those with higher perceived barriers (aOR = 0.19;95 %CI = 0.09-0.39) and those with an internal medicine specialty compared to family medicine (aOR = 0.22;95 %CI = 0.08-0.57) had lower odds of giving a strong recommendation. These data suggest providers are not universally recommending HCV screening for all adults regardless of reported risk. Future research should translate these findings into multilevel interventions to improve HCV screening recommendations regardless of patient risk status.

Indexed as

Average riskHepatitis C virusHigh riskProvidersRecommendationScreening

Identifiers

PMID38375175
PMCPMC10874862

What OpenQuestion holds

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Registered trials

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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.