Patient-based benefit-risk assessment of medicines: development, refinement, and validation of a content search strategy to retrieve relevant studies.

Introduction: Poor indexing and inconsistent use of terms and keywords may prevent efficient retrieval of studies on the patient-based benefit-risk assessment (BRA) of medicines. We aimed to develop and validate an objectively derived content search strategy containing generic search terms that can...

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Publicado en:Journal of the Medical Library Association Vol. 110; no. 2; pp. 185 - 205
Autores principales: El Masri, Hiba, McGuire, Treasure M., Dalais, Christine, van Driel, Mieke, Benham, Helen, Hollingworth, Samantha A.
Formato: equations & formulas research tables/charts Journal Article
Publicado: University of Pittsburgh, University Library System Apr2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2022
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      pub: University of Pittsburgh, University Library System
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        atl: Patient-based benefit-risk assessment of medicines: development, refinement, and validation of a content search strategy to retrieve relevant studies.
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          El Masri, Hiba
          McGuire, Treasure M.
          Dalais, Christine
          van Driel, Mieke
          Benham, Helen
          Hollingworth, Samantha A.
        affil: PhD Candidate, School of Pharmacy, The University of Queensland, Woolloongabba, QLD, Australia
      sug:
        subj:
          Literature Searching Methods
          Adverse Drug Event Risk Factors
          Drug Efficacy Evaluation
          Risk Assessment Methods
          Information Retrieval Methods
          Drugs, Prescription Therapeutic Use
          Drugs, Prescription Adverse Effects
          Subject Headings
          Human
          Sensitivity and Specificity Evaluation
          Multiple Sclerosis Drug Therapy
          Arthritis, Rheumatoid Drug Therapy
          Descriptive Statistics
          Precision Evaluation
          Comparative Studies
          Patient Preference
          Bibliography and References
          Information Storage Methods
          Nomenclature
          Information Retrieval Standards
          Lung Neoplasms
          Information Storage Standards
          Diabetes Mellitus, Type 2
          Antirheumatic Agents Therapeutic Use
      ab: Introduction: Poor indexing and inconsistent use of terms and keywords may prevent efficient retrieval of studies on the patient-based benefit-risk assessment (BRA) of medicines. We aimed to develop and validate an objectively derived content search strategy containing generic search terms that can be adapted for any search for evidence on patient-based BRA of medicines for any therapeutic area. Methods: We used a robust multistep process to develop and validate the content search strategy: (1) we developed a bank of search terms derived from screening studies on patient-based BRA of medicines in various therapeutic areas, (2) we refined the proposed content search strategy through an iterative process of testing sensitivity and precision of search terms, and (3) we validated the final search strategy in PubMed by firstly using multiple sclerosis as a case condition and secondly computing its relative performance versus a published systematic review on patient-based BRA of medicines in rheumatoid arthritis. Results: We conceptualized a final search strategy to retrieve studies on patient-based BRA containing generic search terms grouped into two domains, namely the patient and the BRA of medicines (sensitivity 84%, specificity 99.4%, precision 20.7%). The relative performance of the content search strategy was 85.7% compared with a search from a published systematic review of patient preferences in the treatment of rheumatoid arthritis. We also developed a more extended filter, with a relative performance of 93.3% when compared with a search from a published systematic review of patient preferences in lung cancer.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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