Strengths . | Weaknesses . |
---|---|
Regulatory sponsored studies | |
Arrives early after marketing | Patient selection may not be representative |
Targeted data collection | |
Learned society academic studies | |
Targeted data collection | Patient selection need not be representative |
Usually wide geographical representation | Quality of outcome registration can vary |
Nationwide or regional registries | |
Large scale | Data quality may be limited given use of clinical documentation |
Less bias in patient selection | International generalizability uncertain |
Low cost | |
Claims data | |
Complete selection of data within an administrative unit | Many clinically important data (both independent and outcome variables) may not be available |
Low cost | Quality of data may be limited |
Investigator-initiated and industry-sponsored studies | |
Multiple centres | Reimbursement for participation can influence patients who consent to intervention |
Careful monitoring of data collected | Centre selection can result in unrepresentative patients |
Targeted data collection | Questions may be designed to ensure a higher probability of a favourable outcome |
Hospital cohorts | |
Uniform patient selection | Patient selection not representative |
Similar expertise to all patients | Data quality may not be high |
Expertise of selected centres may not be generalized |
Strengths . | Weaknesses . |
---|---|
Regulatory sponsored studies | |
Arrives early after marketing | Patient selection may not be representative |
Targeted data collection | |
Learned society academic studies | |
Targeted data collection | Patient selection need not be representative |
Usually wide geographical representation | Quality of outcome registration can vary |
Nationwide or regional registries | |
Large scale | Data quality may be limited given use of clinical documentation |
Less bias in patient selection | International generalizability uncertain |
Low cost | |
Claims data | |
Complete selection of data within an administrative unit | Many clinically important data (both independent and outcome variables) may not be available |
Low cost | Quality of data may be limited |
Investigator-initiated and industry-sponsored studies | |
Multiple centres | Reimbursement for participation can influence patients who consent to intervention |
Careful monitoring of data collected | Centre selection can result in unrepresentative patients |
Targeted data collection | Questions may be designed to ensure a higher probability of a favourable outcome |
Hospital cohorts | |
Uniform patient selection | Patient selection not representative |
Similar expertise to all patients | Data quality may not be high |
Expertise of selected centres may not be generalized |
Strengths . | Weaknesses . |
---|---|
Regulatory sponsored studies | |
Arrives early after marketing | Patient selection may not be representative |
Targeted data collection | |
Learned society academic studies | |
Targeted data collection | Patient selection need not be representative |
Usually wide geographical representation | Quality of outcome registration can vary |
Nationwide or regional registries | |
Large scale | Data quality may be limited given use of clinical documentation |
Less bias in patient selection | International generalizability uncertain |
Low cost | |
Claims data | |
Complete selection of data within an administrative unit | Many clinically important data (both independent and outcome variables) may not be available |
Low cost | Quality of data may be limited |
Investigator-initiated and industry-sponsored studies | |
Multiple centres | Reimbursement for participation can influence patients who consent to intervention |
Careful monitoring of data collected | Centre selection can result in unrepresentative patients |
Targeted data collection | Questions may be designed to ensure a higher probability of a favourable outcome |
Hospital cohorts | |
Uniform patient selection | Patient selection not representative |
Similar expertise to all patients | Data quality may not be high |
Expertise of selected centres may not be generalized |
Strengths . | Weaknesses . |
---|---|
Regulatory sponsored studies | |
Arrives early after marketing | Patient selection may not be representative |
Targeted data collection | |
Learned society academic studies | |
Targeted data collection | Patient selection need not be representative |
Usually wide geographical representation | Quality of outcome registration can vary |
Nationwide or regional registries | |
Large scale | Data quality may be limited given use of clinical documentation |
Less bias in patient selection | International generalizability uncertain |
Low cost | |
Claims data | |
Complete selection of data within an administrative unit | Many clinically important data (both independent and outcome variables) may not be available |
Low cost | Quality of data may be limited |
Investigator-initiated and industry-sponsored studies | |
Multiple centres | Reimbursement for participation can influence patients who consent to intervention |
Careful monitoring of data collected | Centre selection can result in unrepresentative patients |
Targeted data collection | Questions may be designed to ensure a higher probability of a favourable outcome |
Hospital cohorts | |
Uniform patient selection | Patient selection not representative |
Similar expertise to all patients | Data quality may not be high |
Expertise of selected centres may not be generalized |
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