Development↦Monitoring↦Montoring Strategy↦Central Data Monitoring
What is it? Why is it important?
Central Data Monitoring (CDM) is the central review of data accumulated in the study database. It ensures the logical consistency of the data, thereby guaranteeing data quality.
The monitor remotely accesses and evaluates study data. This is only possible if data is captured electronically (e-CRF). A data scientist, a statistician, or medical reviewer can also perform CDM.
CDM checks can be automatic (e.g. incorrect or inconsistent data) or semi-automatic. CDM can be used to identify:
- Missing, implausible, or inconsistent data
- Unexpected or false data (e.g. outliers)
- Systematic errors in data collection
- Trends and inconsistencies (e.g. an unexpected lack of variability)
- Variability within and across sites (e.g. identification of sites with high error rates, relatively high or low number of (serious) adverse events, low participant recruitment)
- Study protocol deviations (e.g. changes in participant visit schedules, specific tests, or medical examinations that were not – or only partly – performed)
- Deviations from database completion requirements (e.g. entry must be done within 5 days after participant visit)
More
Sites with poor performance or problematic issues detected during centralised monitoring might best be solved by performing an on-site visit.
Example
In a multicentre study, 4 of the 5 participating sites reported headaches in at least 30% of the participants. At one site with 50 participants, no headaches were reported. This raises concerns regarding site adherence to study safety reporting requirements. This issue, which was detected remotely, may trigger on-site visits to investigate the root cause and to impose risk control measures.
What do I need to do?
As a SP-INV, define CDM tasks such as the:
- Automatic study data checks in the study database (e.g. data completeness, plausibility, consistency checks, including checks for outliers such as unexpected data based on its normal distribution)
- Targeted data checks of data that carry greater importance to the study (e.g. data related to the study entpoint / outcome)
- Statistical monitoring implemented by a study statistician. Especially in multicentre studies, inter-site comparisons can provide additional information
CDM during study conduct is a good strategy as it:
- Ensures ongoing data quality with easier access to resources (i.e. study staff and study participants are usually more available during study conduct than after study completion)
- Is more cost-effective, as it may reduce the extent and/or frequency of on-site monitoring
- Ensures an evenly dispersed workload rather than validating the entire data-set at study end
- Is highly recommended in multicentre studies as it provides an oversight regarding the conduct and performance of participating study sites
More
CDM strategy and checks should be specified in a CDM plan and documented in CDM reports.
Depending on the scope of the data to be validated, automatic checks may include:
- Consistency of personal dates (e.g. date of the first visit is after the date of enrolment)
- Completeness of data input at variable-, participant-, or study-site level
- The identification of duplicates
- Check for range of values (e.g. age should be between 18 and 80 years)
- Consistency between variables (e.g. pregnancy data are only provided by female participants)
Where can I get help?
Your local Research Support Centre↧ can assist you with experienced staff regarding this topic
Basel, Departement Klinische Forschung (DKF), dkf.unibas.ch
Lugano, Clinical Trials Unit (CTU-EOC), ctueoc.ch
Bern, Department of Clinical Research (DCR), dcr.unibe.ch
Geneva, Clinical Research Center (CRC), crc.hug.ch
Lausanne, Clinical Research Center (CRC), chuv.ch
St. Gallen, Clinical Trials Unit (CTU), h-och.ch
Zürich, Clinical Trials Center (CTC), usz.ch
References
ICH GCP E6(R2) – see in particular guidelines
- 5.18 Monitoring activities
- 6.10 Access to source data / documents
ISO 14155 Medical Device – see in particular section (access liable to costs)
- 7.8 Document and data control
- 9.2.4 Monitoring