biostudies-literatureUnknown22(6)Jibb LA<h4>Background</h4>The most commonly used means to assess pain is by patient self-reported questionnaires. These questionnaires have traditionally been completed using paper-and-pencil, telephone, or in-person methods, which may limit the validity of the collected data. Electronic data capture methods represent a potential way to validly, reliably, and feasibly collect pain-related data from patients in both clinical and research settings.<h4>Objective</h4>The aim of this study was to conduct a systematic review and meta-analysis to compare electronic and conventional pain-related data collection methods with respect to pain score equivalence, data completeness, ease of use, efficiency, and acceptability between methods.<h4>Methods</h4>We searched the Medical Literature Analysis and RetrieJournal of medical Internet researche16480https://www.ebi.ac.uk/biostudies/studies/S-EPMC7351264biostudies-literatureElectronic Data Capture Versus Conventional Data Collection Methods in Clinical Pain Studies: Systematic Review and Meta-Analysis.PMC7351264Seth PChee-A-Tow AKaur HFoster JNowak DANicholson KJibb LAMulrooney LKhan JSStinson JNLalloo CfalseElectronic Data Capture Versus Conventional Data Collection Methods in Clinical Pain Studies: Systematic Review and Meta-Analysis.<h4>Background</h4>The most commonly used means to assess pain is by patient self-reported questionnaires. These questionnaires have traditionally been completed using paper-and-pencil, telephone, or in-person methods, which may limit the validity of the collected data. Electronic data capture methods represent a potential way to validly, reliably, and feasibly collect pain-related data from patients in both clinical and research settings.<h4>Objective</h4>The aim of this study was to conduct a systematic review and meta-analysis to compare electronic and conventional pain-related data collection methods with respect to pain score equivalence, data completeness, ease of use, efficiency, and acceptability between methods.<h4>Methods</h4>We searched the Medical Literature Analysis and Retrie2020-01-01T00:00:00Z2020 Jun2026-07-15T23:41:18.713Z2025-04-19T23:03:37.478ZS-EPMC73512643234825910.2196/16480