An examination of the efficiency of some quality assurance methods commonly employed in clinical trials.

The cost and efficiency of training clinical centre staff and of duplicate data entry in clinical trials is reviewed. Training is an essential component of quality assurance programmes and it is usually carried out at regular intervals in long-term clinical trials. Initial training of staff and regular retraining is important to assure standardization and it can lead to reduced trial costs. Interim training for new staff and for remedial purposes is less efficient than regularly scheduled training sessions. Regional centres for training and the use of computer aided instruction are two ways such interim training can be made more efficient and standardized. Duplicate data entry or verification can result in a substantial reduction in data entry errors depending on the nature of the data being keyed. Selective verification should especially be considered for important fields for which consistency checks cannot be performed, that are alphabetic or that are several characters in length. Quality assurance procedures should be implemented to monitor data entry accuracy in clinical trials.

[1]  S P Cooper,et al.  Training and certification of blood pressure observers. , 1983, Hypertension.

[2]  M. Province,et al.  Clinical trials in Duchenne dystrophy. Standardization and reliability of evaluation procedures. , 1984, Physical therapy.

[3]  M J Gillespie,et al.  Data management for a large collaborative clinical trial (CASS: Coronary Artery Surgery Study). , 1978, Computers and biomedical research, an international journal.

[4]  J. Cutler,et al.  Recruitment of participants for the multiple risk factor intervention trial (MRFIT). , 1987, Controlled clinical trials.

[5]  Joseph Naus,et al.  Data Quality Control and Editing , 1975 .

[6]  Walter L. Johnson,et al.  RECORD LINKAGE IN MEDICINE , 1969 .

[7]  F. Ederer Practical problems in collaborative clinical trials. , 1975, American journal of epidemiology.

[8]  S Hulley,et al.  Data quality in a distributed data processing system: the SHEP Pilot Study. , 1986, Controlled clinical trials.

[9]  Standardizing Diagnostic Procedures , 1975 .

[10]  J. Grizzle The case for management research for large field trials. , 1977, Journal of chronic diseases.

[11]  O. D. Williams A framework for the quality assurance of clinical data , 1979, Clinical pharmacology and therapeutics.

[12]  D. L. Rossmann,et al.  Data entry errors in an on-line operation. , 1981, Computers and biomedical research, an international journal.

[13]  D. McShan,et al.  Radiotherapy Quality Assurance Program in a cooperative group. , 1981, International journal of radiation oncology, biology, physics.

[14]  J. Cutler,et al.  Background and design of the new U.S. trial on diet and drug treatment of "mild" hypertension (TOMHS). , 1987, The American journal of cardiology.

[15]  P. Dischinger,et al.  Quality control aspects of blood pressure measurements in the Multiple Risk Factor Intervention Trial. , 1986, Controlled clinical trials.

[16]  G. Knatterud,et al.  Methods of quality control and of continuous audit procedures for controlled clinical trials. , 1981, Controlled clinical trials.

[17]  I K Crombie,et al.  An investigation of data entry methods with a personal computer. , 1986, Computers and biomedical research, an international journal.

[18]  P. Grambsch,et al.  Forms control and error detection procedures used at the Coordinating Center of the Multiple Risk Factor Intervention Trial (MRFIT). , 1986, Controlled clinical trials.

[19]  Hill Ab,et al.  The clinical trial. , 1952 .