Omphalitis Community Based Algorithm Validation Study (OCAVS)

July 20, 2015 updated by: Julie M Herlihy, Boston University

The objective of this study is to develop and test a simple community-based diagnostic algorithm for omphalitis in sub-Saharan Africa. To date, there has been no validated community-based algorithms developed and tested in the sub-Saharan context where the manifestations of omphalitis presentation may vary and diagnosis could be potentially more challenging in infants with darker skin color. Given the current attention to cord care at the global and national policy level, validated community-based algorithms will be needed to allow primary health workers to identify cord infections and reduce associated morbidity.

After obtaining guardian informed consent, newborns aged 1-10 days presenting to the health facility for routine or sick visits will undergo two independent, parallel evaluations; first, by a community level worker and second, by a Zambian medical doctor (gold standard). A third independent assessment of a photo of the cord will be performed remotely by a board-certified pediatrician. Using the on-site clinician as the gold standard, the community-based algorithm and the photo assessment will be tested for concordance and the sensitivity and specificity of the algorithm will be generated. Likewise, the remote pictorial assessment will be compared to the gold standard to determine reliability of diagnosis from photographs alone.

Study Overview

Study Type

Observational

Enrollment (Actual)

1009

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Southern Province
      • Livingstone, Southern Province, Zambia
        • Hospitals & Community Health Centers

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

1 day to 1 week (Child)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Neonate between day 1-10 of life presenting to Livingstone and Mazabuka district hospitals and community health centers in Southern Province, Zambia

Description

Inclusion Criteria:

  • Neonate between day 1-10 of life presenting to Livingstone and Mazabuka district hospitals and community health centers in Southern Province, Zambia
  • No prior diagnosis of omphalitis
  • Guardian willing to allow their newborn to participate in the study
  • Guardian aged 15 and above

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Neonates, 1 to 10 days old
Neonates between day 1-10 of life presenting to hospitals and community health centers in Southern Province, Zambia, with no prior diagnosis of omphalitis, whose guardian, aged 15 and above, is willing to allow their newborn to participate in the study.
After obtaining guardian informed written consent, newborns aged 1-10 days presenting to the health facility for routine or sick visits would undergo 2 independent, parallel evaluations; first, by a ZamCAT Field Monitor (community level worker from our existing study) and the second by a Zambian medical doctor (gold standard). A US board of pediatrics-certified pediatrician will perform a third independent assessment of a photo of the cord remotely. Using the on-site clinician as the gold standard, the community-based algorithm and the photo assessment will be tested for concordance and the sensitivity and specificity of the algorithm will be generated. Likewise, the remote pictorial assessment will be compared to the gold standard to determine reliability of diagnosis from photographs alone.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Validity of the omphalitis algorithm
Time Frame: 10 months
The primary outcome of the study is a measure of validity (concordance) of the the omphalitis algorithm generated by inter-observer kappa statistics to evaluate diagnostic concordance between the field monitors and the gold standard cord health expert on specific algorithmic questions. Questions that demonstrate high concordance will be selected for inclusion in the final algorithm. Sensitivity and specificity of the final algorithm will be generated.
10 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Julie M Herlihy, MD MPH, Boston University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

September 1, 2012

Primary Completion (Actual)

July 1, 2013

Study Completion (Actual)

July 1, 2013

Study Registration Dates

First Submitted

September 7, 2012

First Submitted That Met QC Criteria

September 14, 2012

First Posted (Estimate)

September 19, 2012

Study Record Updates

Last Update Posted (Estimate)

July 22, 2015

Last Update Submitted That Met QC Criteria

July 20, 2015

Last Verified

July 1, 2015

More Information

Terms related to this study

Other Study ID Numbers

  • OCAVS

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Omphalitis

Clinical Trials on Diagnostic Algorithm for Community Based Worker for Omphalitis

Subscribe