Impact of Pneumococcal Conjugate Vaccines on Otitis Media and Acute Otitis Media in Swedish Children
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
-
-
-
Stockholm, Sweden, 103 59
- GSK Investigational Site
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
Data from all children ≤ 5 years old in VGR and Skåne in each year during the study period (2004 - 2013)
Exclusion Criteria:
Not Applicable
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Study cohort
The Total population will include all subjects included in the study.
Only aggregated information will be collected for these subjects.
|
Data will be collected retrospectively linking regional patient-level data prospectively captured in real-world clinical setting with mandatory national healthcare registries from 2004 to 2013.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Assessment of the impact of PCVs by describing, separately for Skåne and VGR (Västra Götalandsregionen), trends over time in the incidence of OM and AOM among children during the pre-PCV, PCV7, and Synflorix®/PCV13-eras
Time Frame: During 10 years: from January 1, 2004 to December 31, 2013
|
A step-wise approach will be applied: 1. Descriptive analyses to assess any trends in OM and AOM incidence, any seasonality (repeating pattern of incidence related to time such as seasons, quarters and months), the order of seasonality, extreme observations/outliers, whether incidence trends include abrupt changes.
2. If trends or seasonality are identified, a time series analysis will be conducted in 2 steps.
a.
Time series analysis of monthly incidence, using smoothing technique to estimate differences in pre-PCV, PCV7, and Synflorix®/PCV13 vaccination periods.
b.
Interrupted time-series analysis if the above steps show any differences in pre- and post- vaccination introduction periods.
Diagnoses of AOM recorded under the ICD-10 code H66 (suppurative and unspecified OM) and ICD-10 H66.0 (acute suppurative OM); Chronic OM under ICD-10 code H66.3 (other chronic suppurative OM) and other OM underICD-10 code H66.9 (OM unspecified) and H65 (non-suppurative OM).
|
During 10 years: from January 1, 2004 to December 31, 2013
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Assessment of the impact of PCVs by describing trends over time in the rate of antibiotics dispensed for OM and AOM diagnoses among children with OM or AOM
Time Frame: During 10 years: from January 1, 2004 to December 31, 2013
|
The impact of PCV will be investigated by looking at trends over time in the rate of antibiotics* dispensed due to an OM or AOM diagnosis for the two counties separately.
The analysis of rate of antibiotic use will be performed in two steps as: Descriptive statistics for the number of dispensed antibiotics.
Time series analysis for the incidence of dispensed antibiotics.
*Date of an antibiotic dispensed within 7 days of a registered diagnosis code (ICD-10 code H65, H66, H66.0, H66.3, H66.9).
|
During 10 years: from January 1, 2004 to December 31, 2013
|
|
Assessment of the the impact of PCVs by describing trends over time in the rate of tympanostomy tube insertions among children with OM and AOM
Time Frame: During 10 years: from January 1, 2004 to December 31, 2013
|
The rate of tympanostomy tube insertions* among children with OM or AOM will also be analyzed in the same way as the analysis of frequency of antibiotics dispensed.
*Date of Tympanostomy tube placement procedure (KVA DCD10).
|
During 10 years: from January 1, 2004 to December 31, 2013
|
|
Assessment of the impact of PCVs by describing the trends over time in the incidence of severe AOM (Medical Products Agency 2010, Lieberthal 2013) among children
Time Frame: During 10 years: from January 1, 2004 to December 31, 2013
|
The impact of PCVs on the incidence of severe AOM among children will be analysed with a step-wise time series analysis approach, which is described for the primary outcome.
Severe AOM defined as: -Children diagnosed with AOM with presence of moderate to severe otalgia or fever ≥ 39° C, or -Children with ≥3 diagnoses of AOM in a 6-month period or ≥4 AOM diagnoses in a 12-month period, or-Children reported with hospitalization due to AOM or any documented evidence of IV infusion of antibiotics in hospital.
|
During 10 years: from January 1, 2004 to December 31, 2013
|
|
Assessment of the Costs for OM and AOM-related healthcare resource utilization
Time Frame: During 10 years: from January 1, 2004 to December 31, 2013
|
Cost dispersion statistics (mean, median, standard deviation, minimum, maximum, variance) will be calculated.
Direct costs for OM and AOM will be calculated by including healthcare resource utilization for each child as the count of antibiotic prescriptions filled for OM and AOM, and use of medical services, such as visits to the general practitioner, visits to the hospital, procedure costs (tympanostomy tube placements, myringotomies and IV antibiotics administrations) and length of hospital stay during the follow-up period.
Cost for all health care visits and procedures will be calculated using the number of registered events multiplied by a unit cost based on public price lists for that particular visit or procedure.
|
During 10 years: from January 1, 2004 to December 31, 2013
|
|
Assessment of possible individual-level predictors for the time to the first OM or AOM diagnosis
Time Frame: During 10 years: from January 1, 2004 to December 31, 2013
|
The following analysis will be conducted to understand individual-level factors that impacts OM and AOM rates and time to first incidence of an OM or an AOM separately for each county council.
A survival analysis will be conducted to assess predictors of the time to first OM or AOM using a left censored Cox proportional hazards model.
|
During 10 years: from January 1, 2004 to December 31, 2013
|
Collaborators and Investigators
Sponsor
Sponsor
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 203129
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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.