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American Heart Association

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Final ID: Su1111

Performance of a Novel Rheumatic Heart Disease Screening Protocol Led by Non-Expert Frontline Nurses in Uganda

Abstract Body (Do not enter title and authors here): Background:
Poor healthcare access results in late- or non-diagnosis of rheumatic heart disease (RHD), perpetuating the burden of RHD in low-resource settings. The ADUNU program, a partnership with the Ugandan Ministry of Health in Kitgum, Uganda, aims to improve RHD case detection through decentralized screening led by primary care nurses, who independently perform and interpret brief screening echocardiograms using handheld echocardiography.
Hypothesis:
We hypothesized ADUNU’s simplified screening protocol would achieve sensitivity and specificity greater than 80% on confirmatory evaluation.
Aim:
To determine the health system impact of deploying a novel RHD screening protocol into the public health system in Uganda through a cross-sectional study of diagnostic accuracy.
Methods:
Primary healthcare nurses, certified to perform echocardiographic screening using a single parasternal long axis view in 2D and color Doppler, integrated screening into their clinical and outreach workflows. Community members with positive screens (mitral regurgitation jet ≥2cm or aortic regurgitation jet ≥1cm) were referred for confirmatory echocardiograms at the District Hospital. A random subset with negative screens were recruited for confirmatory echocardiograms at the time of screening as well. Sensitivity, specificity, predictive values, likelihood ratios, accuracy, and agreement (Cohen’s kappa) were calculated between the screening protocol and the confirmatory results.
Results:
Between May 2023 and April 2024, 3020 community screenings (ages 5-70 years) were conducted by 19 certified nurses. Among 113 positive screens, 61 (53.9%) were confirmed to have RHD. Among 430 negative screens, 14 (3.3%) had RHD. Screening sensitivity was 82.4% (95% CI 72.2-89.4%) and specificity 89.1% (85.9-91.6%). Positive and negative predictive values were 54.5% (45.2-63.4%) and 97.0% (94.9-98.2%). Likelihood ratios were 7.55(+) and 0.19(-). Accuracy was 88.3% (85.2 – 91.4%) and kappa was 0.59 (0.49-0.68).
Conclusions:
ADUNU’s novel approach to RHD active case finding achieved acceptable diagnostic performance. Nurse-led RHD screening programs that are integrated into routine clinical care shows potential for use in a comprehensive public health program. Very few RHD cases were missed, and under two referrals were generated for every positive case, an acceptable false positive rate. Further economic evaluation is underway to understand the budgetary impact and cost-effectiveness of this program.
  • Wirth, Scott  ( CCHMC , Cincinnati , Ohio , United States )
  • Warren, Paul  ( CCHMC , Cincinnati , Ohio , United States )
  • Nakagaayi, Doreen  ( Uganda Heart Institute , Kampala , Uganda )
  • Pulle, Jafesi  ( Uganda Heart Institute , Kampala , Uganda )
  • Sable, Craig  ( CHILDRENS NATIONAL MEDICAL CENTER , Potomac , District of Columbia , United States )
  • Okello, Emmy  ( Uganda Heart Institute , Kampala , Uganda )
  • Watkins, David  ( University of Washington , Seattle , Washington , United States )
  • Danforth, Kristen  ( University of Washington , Seattle , Washington , United States )
  • Beaton, Andrea  ( Cincinnati Childrens Hospital , Cincinnati , Ohio , United States )
  • Author Disclosures:
    Scott Wirth: DO NOT have relevant financial relationships | paul warren: DO NOT have relevant financial relationships | Doreen Nakagaayi: DO NOT have relevant financial relationships | Jafesi Pulle: DO NOT have relevant financial relationships | Craig Sable: DO NOT have relevant financial relationships | Emmy Okello: No Answer | David Watkins: No Answer | Kristen Danforth: DO NOT have relevant financial relationships | Andrea Beaton: DO NOT have relevant financial relationships
Meeting Info:

Scientific Sessions 2024

2024

Chicago, Illinois

Session Info:

Advancing Excellence: Innovations in Quality Improvement and Implementation Science

Sunday, 11/17/2024 , 11:30AM - 12:30PM

Abstract Poster Session

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