Trial recruitment:
Successfully recruiting participants for clinical trials is a challenge that crosses all medical disciplines, but is
particularly difficult in the field of Alzheimer’s disease (AD) research. The nature of the disease, the need
to recruit a caregiver in addition tothe person with AD, the changing nature of clinical prescribing practices,
and a climate of misunderstanding and misperceptions about AD all contribute to these recruitment
challenges.
A growing body of published literature is focusing on consumer attitudes toward participation in clinical
trials and benefits and barriers perceived by participants and thepublic. Articles report on the relative
effectiveness of various recruitment tactics and methods. The value of the AD recruitment experiences
reported in the published literature could be increased by the use of a framework for systematically planning
and evaluating recruitment methods and approaches.Social marketing is one such framework.
It is a discipline introduced in the 1970s that seeks to apply marketing principles and expertise to
address social and health problems.Social marketing is defined as a process for influencing human
Wednesday, May 12, 2010
Report writing
Report writing:
The clinical study report is a key document, representing as it does one of the elements of the drug registration file. The authors propose here a general design for a controlled trial which offers the advantage of a methodical approach covering most clinical study situations.
The clinical study report is a key document, representing as it does one of the elements of the drug registration file. The authors propose here a general design for a controlled trial which offers the advantage of a methodical approach covering most clinical study situations.
Data collection, analysis, and interpretation.
Data collection, analysis, and interpretation:
Before you decide what to wear in the morning, you collect a variety of data: the season of the year, what the forecast says the weather is going to be like, which clothes are clean and which are dirty, and what you will be doing during the day. You then analyze that data. Perhaps you think, “It’s summer, so it’s usually warm.” That analysis helps you determine the best course of action, and you base your apparel decision on your interpretation of the information. You might choose a t-shirt and shorts on a summer day when you know you’ll be outside, but bring a sweater with you if you know you’ll be in an air-conditioned building.
Though this example may seem simplistic, it reflects the way scientists pursue data collection, analysis, and interpretation. Data (the plural form of the word datum) are scientific observations and measurements that, once analyzed and interpreted, can be developed into evidence to address a question. Data lie at the heart of all scientific investigations, and all scientists collect data in one form or another. The weather forecast that helped you decide what to wear, for example, was an interpretation made by a meteorologist who analyzed data collected by satellites
But collecting data is only one step in a scientific investigation, and scientific knowledge is much more than a simple compilation of data points. The world is full of observations that can be made, but not every observation constitutes a useful piece of data. For example, your meteorologist could record the outside air temperature every second of the day, but would that make the forecast any more accurate than recording it once an hour? Probably not. All scientists make choices about which data are most relevant to their research and what to do with that data: how to turn a collection of measurements into a useful dataset through processing and analysis, and how to interpret those analyzed data in the context of what they already know. The thoughtful and systematic collection, analysis, and interpretation of data allow it to be developed into evidence that supports scientific ideas, arguments, and hypotheses.
Before you decide what to wear in the morning, you collect a variety of data: the season of the year, what the forecast says the weather is going to be like, which clothes are clean and which are dirty, and what you will be doing during the day. You then analyze that data. Perhaps you think, “It’s summer, so it’s usually warm.” That analysis helps you determine the best course of action, and you base your apparel decision on your interpretation of the information. You might choose a t-shirt and shorts on a summer day when you know you’ll be outside, but bring a sweater with you if you know you’ll be in an air-conditioned building.
Though this example may seem simplistic, it reflects the way scientists pursue data collection, analysis, and interpretation. Data (the plural form of the word datum) are scientific observations and measurements that, once analyzed and interpreted, can be developed into evidence to address a question. Data lie at the heart of all scientific investigations, and all scientists collect data in one form or another. The weather forecast that helped you decide what to wear, for example, was an interpretation made by a meteorologist who analyzed data collected by satellites
But collecting data is only one step in a scientific investigation, and scientific knowledge is much more than a simple compilation of data points. The world is full of observations that can be made, but not every observation constitutes a useful piece of data. For example, your meteorologist could record the outside air temperature every second of the day, but would that make the forecast any more accurate than recording it once an hour? Probably not. All scientists make choices about which data are most relevant to their research and what to do with that data: how to turn a collection of measurements into a useful dataset through processing and analysis, and how to interpret those analyzed data in the context of what they already know. The thoughtful and systematic collection, analysis, and interpretation of data allow it to be developed into evidence that supports scientific ideas, arguments, and hypotheses.
Case reports form
Case Report Form (or CRF) :
A Case Report Form (or CRF) is a paper or electronic questionnaire specifically used in clinical trial research. The Case Report Form is the tool used by the sponsor of the clinical trial to collect data from each participating site. All data on each patient participating in a clinical trial are held and/or documented in the CRF, including adverse events.
The sponsor of the clinical trial develops the CRF to collect the specific data they need in order to test their hypotheses or answer their research questions. The size of a CRF can range from a handwritten one-time 'snapshot' of a patient's physical condition to hundreds of pages of electronically captured data obtained over a period of weeks or months. (It can also include required check-up visits months after the patient's treatment has stopped.)
The sponsor is responsible for designing a CRF that accurately represents the protocol of the clinical trial, as well as managing its production, monitoring the data collection and auditing the content of the filled-in CRFs.
Case report forms contain data obtained during the patient's participation in the clinical trial. Before being sent to the sponsor, this data is usually de-identified (not traceable to the patient) by removing the patient's name, medical record number, etc., and giving the patient a unique study number. The supervising Institutional Review Board (IRB) oversees the release of any personally identifiable data to the sponsor.
From the sponsor's point of view, the main logistic goal of a clinical trial is to obtain accurate CRFs. However, because of human and machine error, the data entered in CRFs is rarely completely accurate or entirely readable.
When the study administrators or automated mechanisms process the CRFs that were sent to the sponsor by local researchers, they make a note of queries. Queries are non-sensible or questionable data that must be explained. Examples of data that would lead to a query: a male patient being on female birth control medication or having had an abortion, or a 15-year old participant having had hip replacement surgery. Each query has to be resolved by the individual attention of a member of each local research team, as well as an individual in the study administration. To ensure quality control, these queries are usually addressed and resolved before the CRF data is included by the sponsor in the final clinical study report. Depending on variables relating to the nature of the study, (e.g., the health of the study population), the effectiveness of the study administrators in resolving these queries can significantly impact the cost of studies.
A Case Report Form (or CRF) is a paper or electronic questionnaire specifically used in clinical trial research. The Case Report Form is the tool used by the sponsor of the clinical trial to collect data from each participating site. All data on each patient participating in a clinical trial are held and/or documented in the CRF, including adverse events.
The sponsor of the clinical trial develops the CRF to collect the specific data they need in order to test their hypotheses or answer their research questions. The size of a CRF can range from a handwritten one-time 'snapshot' of a patient's physical condition to hundreds of pages of electronically captured data obtained over a period of weeks or months. (It can also include required check-up visits months after the patient's treatment has stopped.)
The sponsor is responsible for designing a CRF that accurately represents the protocol of the clinical trial, as well as managing its production, monitoring the data collection and auditing the content of the filled-in CRFs.
Case report forms contain data obtained during the patient's participation in the clinical trial. Before being sent to the sponsor, this data is usually de-identified (not traceable to the patient) by removing the patient's name, medical record number, etc., and giving the patient a unique study number. The supervising Institutional Review Board (IRB) oversees the release of any personally identifiable data to the sponsor.
From the sponsor's point of view, the main logistic goal of a clinical trial is to obtain accurate CRFs. However, because of human and machine error, the data entered in CRFs is rarely completely accurate or entirely readable.
When the study administrators or automated mechanisms process the CRFs that were sent to the sponsor by local researchers, they make a note of queries. Queries are non-sensible or questionable data that must be explained. Examples of data that would lead to a query: a male patient being on female birth control medication or having had an abortion, or a 15-year old participant having had hip replacement surgery. Each query has to be resolved by the individual attention of a member of each local research team, as well as an individual in the study administration. To ensure quality control, these queries are usually addressed and resolved before the CRF data is included by the sponsor in the final clinical study report. Depending on variables relating to the nature of the study, (e.g., the health of the study population), the effectiveness of the study administrators in resolving these queries can significantly impact the cost of studies.
Administration of informed consents
Administration
Clinical trials designed by a local investigator and (in the U.S.) federally funded clinical trials are almost always administered by the researcher who designed the study and applied for the grant. Small-scale device studies may be administered by the sponsoring company. Phase III and Phase IV clinical trials of new drugs are usually administered by a contract research organization (CRO) hired by the sponsoring company. (The sponsor provides the drug and medical oversight.) A CRO is a company that is contracted to perform all the administrative work on a clinical trial. It recruits participating researchers, trains them, provides them with supplies, coordinates study administration and data collection, sets up meetings, monitors the sites for compliance with the clinical protocol, and ensures that the sponsor receives 'clean' data from every site. Recently, site management organizations have also been hired to coordinate with the CRO to ensure rapid IRB/IEC approval and faster site initiation and patient recruitment.
At a participating site, one or more research assistants (often nurses) do most of the work in conducting the clinical trial. The research assistant's job can include some or all of the following: providing the local Institutional Review Board (IRB) with the documentation necessary to obtain its permission to conduct the study, assisting with study start-up, identifying eligible patients, obtaining consent from them or their families, administering study treatment(s), collecting and statistically analyzing data, maintaining and updating data files during followup, and communicating with the IRB, as well as the sponsor (if any) and CRO (if any).
Clinical trials designed by a local investigator and (in the U.S.) federally funded clinical trials are almost always administered by the researcher who designed the study and applied for the grant. Small-scale device studies may be administered by the sponsoring company. Phase III and Phase IV clinical trials of new drugs are usually administered by a contract research organization (CRO) hired by the sponsoring company. (The sponsor provides the drug and medical oversight.) A CRO is a company that is contracted to perform all the administrative work on a clinical trial. It recruits participating researchers, trains them, provides them with supplies, coordinates study administration and data collection, sets up meetings, monitors the sites for compliance with the clinical protocol, and ensures that the sponsor receives 'clean' data from every site. Recently, site management organizations have also been hired to coordinate with the CRO to ensure rapid IRB/IEC approval and faster site initiation and patient recruitment.
At a participating site, one or more research assistants (often nurses) do most of the work in conducting the clinical trial. The research assistant's job can include some or all of the following: providing the local Institutional Review Board (IRB) with the documentation necessary to obtain its permission to conduct the study, assisting with study start-up, identifying eligible patients, obtaining consent from them or their families, administering study treatment(s), collecting and statistically analyzing data, maintaining and updating data files during followup, and communicating with the IRB, as well as the sponsor (if any) and CRO (if any).
Protocol design and Data collection
A clinical trial protocol is a document used to gain confirmation of the trial design by a panel of experts and adherence by all study investigators, even if conducted in various countries.
The protocol describes the scientific rationale, objective(s), design, methodology, statistical considerations, and organization of the planned trial. Details of the trial are also provided in other documents referenced in the protocol such as an Investigator's Brochure.
The protocol contains a precise study plan for executing the clinical trial, not only to assure safety and health of the trial subjects, but also to provide an exact template for trial conduct by investigators at multiple locations (in a "multicenter" trial) to perform the study in exactly the same way. This harmonization allows data to be combined collectively as though all investigators (referred to as "sites") were working closely together. The protocol also gives the study administrators (often a contract research organization) as well as the site team of physicians, nurses and clinic administrators a common reference document for site responsibilities during the trial.
The format and content of clinical trial protocols sponsored by pharmaceutical, biotechnology or medical device companies in the United States, European Union, or Japan has been standardized to follow Good Clinical Practice guidance[13] issued by the International Conference on Harmonization of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH).[14] Regulatory authorities in Canada and Australia also follow ICH guidelines. Some journals, e.g. Trials, encourage trialists to publish their protocols in the journal
Data collection
A well-designed CRF regarding laboratory data collection captures key parameters that provide a
link to the central laboratory. In a multi-center study, a central lab may be used to analyze the
blood samples and provide the results in an ‘analysis-ready’ dataset. It minimizes transcription
errors and ensures data quality control. Although it may be considered superfluous to collect
sample information on the CRF, it is an important factor for validating the lab data and ensuring
that all records are in the dataset. In order to facilitate the data validation process, the CRF
should collect the sample date and time, fasting information, and accession number for each
sample taken. In addition, these data can be used to construct an integrated database. Thus, a
well-design CRF contains these well-referenced CRF components that make database design and
data validation processes more efficient.
The protocol describes the scientific rationale, objective(s), design, methodology, statistical considerations, and organization of the planned trial. Details of the trial are also provided in other documents referenced in the protocol such as an Investigator's Brochure.
The protocol contains a precise study plan for executing the clinical trial, not only to assure safety and health of the trial subjects, but also to provide an exact template for trial conduct by investigators at multiple locations (in a "multicenter" trial) to perform the study in exactly the same way. This harmonization allows data to be combined collectively as though all investigators (referred to as "sites") were working closely together. The protocol also gives the study administrators (often a contract research organization) as well as the site team of physicians, nurses and clinic administrators a common reference document for site responsibilities during the trial.
The format and content of clinical trial protocols sponsored by pharmaceutical, biotechnology or medical device companies in the United States, European Union, or Japan has been standardized to follow Good Clinical Practice guidance[13] issued by the International Conference on Harmonization of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH).[14] Regulatory authorities in Canada and Australia also follow ICH guidelines. Some journals, e.g. Trials, encourage trialists to publish their protocols in the journal
Data collection
A well-designed CRF regarding laboratory data collection captures key parameters that provide a
link to the central laboratory. In a multi-center study, a central lab may be used to analyze the
blood samples and provide the results in an ‘analysis-ready’ dataset. It minimizes transcription
errors and ensures data quality control. Although it may be considered superfluous to collect
sample information on the CRF, it is an important factor for validating the lab data and ensuring
that all records are in the dataset. In order to facilitate the data validation process, the CRF
should collect the sample date and time, fasting information, and accession number for each
sample taken. In addition, these data can be used to construct an integrated database. Thus, a
well-design CRF contains these well-referenced CRF components that make database design and
data validation processes more efficient.
What is Clinical testing
Clinical trials
Clinical trials are the process by which a new drug's safety and effectiveness are tested as part of the FDA approval process. When a company discovers and develops a new drug, they must first run extensive pre-clinical trials prior to testing the drug candidate on people. This pre-clinical development process serves to determine a drug's safety, the best starting dose for human clinical trials, and the interaction between the body and the drug. Once pharmaceutical companies have enough information about the drug, they can apply for approval to run clinical trials on humans
Pharmaceutical companies
Clinical trials can only come after extensive pre-clinical testing and development, which can be costly. Additionally, clinical trials themselves are very expensive to conduct. If a company's drug reaches a late-stage clinical trial and fails, the money spent up until that point will be lost. Any pharmaceutical company involved in the development of new drugs can be significantly impacted by the results of clinical trials, either positively or negatively
Clinical trials are the process by which a new drug's safety and effectiveness are tested as part of the FDA approval process. When a company discovers and develops a new drug, they must first run extensive pre-clinical trials prior to testing the drug candidate on people. This pre-clinical development process serves to determine a drug's safety, the best starting dose for human clinical trials, and the interaction between the body and the drug. Once pharmaceutical companies have enough information about the drug, they can apply for approval to run clinical trials on humans
Pharmaceutical companies
Clinical trials can only come after extensive pre-clinical testing and development, which can be costly. Additionally, clinical trials themselves are very expensive to conduct. If a company's drug reaches a late-stage clinical trial and fails, the money spent up until that point will be lost. Any pharmaceutical company involved in the development of new drugs can be significantly impacted by the results of clinical trials, either positively or negatively
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