Pharmacovigilance Methods- Active Surveillance | Sentinel sites, Drug event monitoring and Registries

Pharmacovigilance Methods

Active Surveillance

Active surveillance, in contrast to passive surveillance, pursues to determine the particular number of adverse events through a constant pre-organized process.  In common, it is more achievable to acquire wide-ranging data on discrete adverse event reports through an active surveillance system than through a passive reporting system.

a) Sentinel sites
Active surveillance can be attained by revising medical records or questioning patients and/or physicians in a section of sentinel sites to guarantee that comprehensive and precise data on reported adverse events are collected from these sites. The selected sites can deliver information, such as data from specific patient subgroups, which would not be accessible in a passive spontaneous reporting system.

The major weaknesses of sentinel sites comprise difficulties with selection bias, small numbers of patients and augmented costs. Active surveillance with sentinel sites is most effective for those medicines used primarily in institutional settings such as hospitals, nursing homes and haemodialysis centers.

Institutional settings may use certain medicinal products more commonly and can deliver an arrangement for enthusiastic reporting. Intensive monitoring of sentinel sites
can also be supportive in recognizing risks among patients taking orphan medicines.

b) Drug Event Monitoring- can be divided into i) Medicine event monitoring   ii) Cohort event monitoring

i) Medicine event monitoring
This is a process of active Pharmacovigilance surveillance. Studies using this process are cohort-based and prospective and observational. For medication event monitoring, patients can be acknowledged from electronic or automated health insurance claims. A single prescription or a series might be composed over the period of monitoring. A follow-up questionnaire can then be sent to each prescribing physician or patient at pre-specified intervals to acquire outcome data.

Requests for data on patient demographics, indication for treatment, duration of therapy, dosage, clinical events, reasons for termination and applicable past history can be
involved in the questionnaires.  The restrictions of medicine event monitoring can comprise the poor physician and patient reply rates.

ii) Cohort Event monitoring
In a cohort study, a population at risk for the disease (or event) is monitored over time to record the occurrence of the disease (or event). Information on exposure status is
accessible during the follow-up period for each patient. A patient might be exposed to a medicine at one time during follow-up, but not exposed at another time. Meanwhile the
population exposure during follow-up is acknowledged, incidence rates can be calculated.

In many cohort studies concerning medicine exposure, appraisal cohorts of interest are selected on the basis of medicine use and monitored over time. Cohort studies are useful when there is a requisite to know the incidence rates of adverse events in addition to the relative risks. Multiple adverse events can also be scrutinized using the similar data source in a cohort study. Conversely, it can be problematic to recruit adequate numbers of patients who are exposed to the medicine of interest or to study very
rare outcomes.

Similar to case-control studies, patients in cohort studies can be recognized from large automated databases or from data collected precisely for the study at hand. In addition, cohort studies can be used to scrutinize safety issues in special populations through oversampling of these patients or by stratifying the cohort if adequate numbers of patients are included. There are numerous automated databases obtainable for pharmacoepidemiological studies. They consist of databases that contain automated medical records or
automated accounting/billing systems.

Databases that are fashioned from accounting/billing systems might be connected to pharmacy claims and medical claims databases. These datasets may contain millions of patients. Subsequently, they are fashioned for administrative or billing purposes; they might not have all the detailed and precise information needed for some research, such as authenticated diagnostic information or laboratory data. Even though medical records can be used to establish and authenticate test results and medical diagnoses, one should know about the privacy and privacy regulations that apply to patient medical records

c) Registries
A registry is a list of patients presenting with the identical representative(s). This representative can be a disease (disease registry) or a specific exposure (medicine registry).
Both types of registrations, which vary only by the type of patient data of interest, can gather a cordless of information using standardized questionnaires in a prospective fashion. Disease registries, such as registries for blood dyscrasias, severe cutaneous reactions, or congenital malformations can help to gather data on medicine exposure and other factors related to a clinical condition.

A disease registry might also be used as a veil for a case control study associating the medicine exposure of cases recognized from the registry with controls selected either from patients with another condition within the registry, or from patients outside the registry.

Exposure (medicine) registries address populations exposed to the medicines of interest to govern if a medicine has a distinct influence on this group of patients. Some exposure (medicine) registries address drug exposures in specific populations, such as pregnant women.

Patients can be followed over time and included in a cohort study to collect data on adverse events using standardized questionnaires. Single cohort studies can quantity incidence, but, without a comparison group, cannot deliver proof of association. This type of registry can be very valuable when examining the safety of an orphan medicine indicated for a specific condition.

Customary epidemiological methods are a key constituent in the evaluation of adverse events. There are numerous of observational study designs that are valuable in
validating signals from spontaneous reports, case series or medicine event monitoring. The most imperative of these designs is cross-sectional studies, case-control studies and
cohort studies

Reference:

http://z.umn.edu/INNOVATIONS 2015, Vol. 6, No. 1, Article 189

Notes compiler

Dr Vivek Jain