Effectiveness of Active Case Finding of Household Contacts in a Routine Tuberculosis (TB) Control Program
NCT ID: NCT02174380
Last Updated: 2014-07-09
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
UNKNOWN
NA
1900 participants
INTERVENTIONAL
2012-10-31
2015-06-30
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Epidemiology of MDR-TB in Peru
NCT00676754
Finding and Treating Unsuspected and Resistant TB to Reduce Hospital Transmission
NCT02355223
Operational Assessment of Laboratory Information System for MDR-TB in Lima, Peru
NCT01201941
Effect of Community Active Case Finding Strategies for Detection of Tuberculosis in Cambodia
NCT04094350
Clinic-based Versus Hotspot-focused Active TB Case Finding
NCT05285202
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Intervention Model
The intervention is rolled out across all clusters (or health centres) in the form of a stepped wedge design, that is a unidirectional crossover, such that all clusters start in the control arm and are then randomized to the time point of cross over to the intervention arm. This continues in steps until all clusters (or health centres) have crossed over to the intervention arm. The randomization of health centres is to the timepoint at which they will cross over to the intervention arm. This randomization was stratified by clinicTB rates \<100/100,000, TB rates 100 to 200/100,000, and clinics with TB rates \>200/100,000, to ensure balance of clinic sizes randomized to the intervention arm at each time point.
Power analysis
Given that the number of clusters, or health centres (n=35) is fixed, a power analysis was undertaken to estimate the smallest detectable difference between the overall yields of the active intervention (ACF) and the passive case finding (PCF) in the current study. The power analysis for stepped wedge clustered designs must be modified to account for the stepped implementation and the variation in cluster sizes we are likely to observe. In a parallel study designed to achieve a specified level of power, the same population in a stepped wedge design will have less the specified level of power, and the standard normal deviates should be increased by an inflation factor. Using a similar approach and accounting for stepped wedge design and the varying cluster sizes within the sample, in comparison to the expected baseline 1% case detection among household contacts we anticipate in passive case finding, we should have a power of greater than 90% detect differences between 3% and 4% ( with overall yields of ACF with 4 or 5%) between the intervention and control arms. Based on previous studies, we anticipate this should be adequate to determine an effect that would be of clinical and programmatic importance.
The study will be undertaken in district clinics over the course of 18 months (3 baseline and 15 months of the ACF program phase-in). In 2010, DISA NTP reported 1,871 TB cases within 35 clinics over 12 months (unpublished Ministry of Health data). We anticipate median of 5 household contacts per TB case (range 3-7) . In previous studies within the district, response rates to index case enrollment to studies in the district have been over 80%. In a study recruiting 60 Multidrug resistant (MDR) TB index cases and 80 randomly selected drug-sensitive TB controls in SJL, 92% of case and 98% of controls selected agreed to participate in the study. Therefore, given our current proposed roll out over 15 months, if we conservatively estimate 70% participation and 3 household contacts per home we would anticipate approximately 1900 index TB cases and approximately 5700 household contacts.
Data extraction and management
DISA NTP routinely collect data on household contacts evaluated in public health forms within TB case histories. Similarly, during home visits, additional ACF forms on household contacts will be collected. The new ACF TB forms are public health forms that DISA NTP has developed, however with input from the study investigators, both to ensure data completeness and quality and to incorporate any data on time and cost of the program. The study investigators will provide a role in pilot testing and validation of the data collection tools and program procedures. DISA NTP staff will conduct all home visits, all evaluations TB cases and contacts and related data collection. Currently all NTP data at the clinic level are paper-based and maintained in individual TB case charts.
Study specific teams (university-based) will audit and extract the routine public health and the active intervention TB forms. This strategy will ensure a real-life pragmatic perspective of the program using DISA NTP staff to implement the program in the context of their regular TB program, however provide additional monitoring and digitizing of data for evaluation. Dedicated study field workers will extract PCF and ACF data prospectively from the original TB case histories, household contact evaluation and ACF intervention (where applicable) forms within index TB patient charts at DISA NTP clinics. Information from the case histories for each TB patient's household contacts will be collected in the first month, at 3 months and 6 month time periods. The extraction method will include where possible and allowed photocopy of the relevant public health forms. These forms are then summarized in study data extraction forms and entered into a single secure database. Data are verified by a supervisor comparing extraction forms to the chart forms, and the database electronic records to the extraction forms.
Analysis
The primary outcome of interest is the overall yield of secondary TB cases from either the new active program compared with the passive routine program and associated costs of each. Univariate analyses will be performed to describe population characteristics. Analysis will be undertaken according the principles of intention-to-treat (ITT), using data collected from individual TB case records at randomized clinics, such that contacts detected as secondary cases will be assigned to the intervention or comparator in their clinic at that time period. A marginal logistic regression model will be estimated using Generalized Estimated Equations (GEE ). The GEE will be modeled using a logit link function, and a robust variance estimation which is robust to misspecification of the correlation structure. Analysis will be at the unit of the individual accounting for the clustering by clinic. Covariates included in the model will include individual level age, gender, previous TB treatment, index TB case smear positivity gradient and clinic level covariates. The treatment effect will be an odds ratio of the time to case detection in the intervention group (ACF) in comparison to the comparator (PCF).
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
RANDOMIZED
CROSSOVER
SCREENING
NONE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Passive Household Contact Evaluation
Passive case finding refers to the current National TB program of voluntary self-reporting of symptomatic patients to the health system for diagnosis of TB and initiation of effective chemotherapy
No interventions assigned to this group
Active Household Contact Evaluation
The intervention program includes households visits of all newly diagnosed TB cases enrolled in TB treatment within a DISA NTP clinic in SJL district. During the home visit health staff will evaluate all household contacts for symptoms of active TB. Any person reporting cough for \>14 days will be asked to provide a spot sputum for microscopy and referred to the clinic for chest x-ray and clinical evaluation. All household contacts ≤19 years will be referred to the clinic for chest x-ray, pediatric clinical evaluation and initiation of treatment for active or latent TB as required. Counseling including TB infection control practices and importance of diagnosis and treatment completion for TB cases will be provided to household members.
Active Household Contact Evaluation
Active evaluation of TB household contacts will be introducted as a new intervention in the district. The intervention will be undertaken by routine public health staff under routine conditions, however the assignment, training, monitoring and supervision of this intervention will occur in a stepped wedge roll out.
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Active Household Contact Evaluation
Active evaluation of TB household contacts will be introducted as a new intervention in the district. The intervention will be undertaken by routine public health staff under routine conditions, however the assignment, training, monitoring and supervision of this intervention will occur in a stepped wedge roll out.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
Exclusion Criteria
15 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Canadian Institutes of Health Research (CIHR)
OTHER_GOV
McGill University
OTHER
Universidad Peruana Cayetano Heredia
OTHER
Lena Shah
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Lena Shah
Doctoral Student
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Jay S Kaufman, PhD
Role: PRINCIPAL_INVESTIGATOR
McGill University
Timothy F Brewer, MD
Role: PRINCIPAL_INVESTIGATOR
University of California, Los Angeles
Lena Shah, MSc., PhD(c)
Role: PRINCIPAL_INVESTIGATOR
McGill University
Eduardo Gotuzzo, MD
Role: PRINCIPAL_INVESTIGATOR
Universidad Peruana Cayetano Heredia
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Instituto de Medicina Tropicales "Alexander von Humboldt", Universidad Peruana Cayetano Heredia
San Martín de Porres, Lima region, Peru
Countries
Review the countries where the study has at least one active or historical site.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
References
Explore related publications, articles, or registry entries linked to this study.
Shah L, Rojas M, Mori O, Zamudio C, Kaufman JS, Otero L, Gotuzzo E, Seas C, Brewer TF. Implementation of a stepped-wedge cluster randomized design in routine public health practice: design and application for a tuberculosis (TB) household contact study in a high burden area of Lima, Peru. BMC Public Health. 2015 Jun 26;15:587. doi: 10.1186/s12889-015-1883-2.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
CIHR-235353
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.