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BackgroundThe 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. ObjectiveThe 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. MethodsWe searched the Medical Literature Analysis and Retrieval System Online (MEDLINE), Excerpta Medica Database (EMBASE), and Cochrane Central Register of Controlled Trials (CENTRAL) from database inception until November 2019. We included all peer-reviewed studies that compared electronic (any modality) and conventional (paper-, telephone-, or in-person–based) data capture methods for patient-reported pain data on one of the following outcomes: pain score equivalence, data completeness, ease of use, efficiency, and acceptability. We used random effects models to combine score equivalence data across studies that reported correlations or measures of agreement between electronic and conventional pain assessment methods. ResultsA total of 53 unique studies were included in this systematic review, of which 21 were included in the meta-analysis. Overall, the pain scores reported electronically were congruent with those reported using conventional modalities, with the majority of studies (36/44, 82%) that reported on pain scores demonstrating this relationship. The weighted summary correlation coefficient of pain score equivalence from our meta-analysis was 0.92 (95% CI 0.88-0.95). Studies on data completeness, patient- or provider-reported ease of use, and efficiency generally indicated that electronic data capture methods were equivalent or superior to conventional methods. Most (19/23, 83%) studies that directly surveyed patients reported that the electronic format was the preferred data collection method. ConclusionsElectronic pain-related data capture methods are comparable with conventional methods in terms of score equivalence, data completeness, ease, efficiency, and acceptability and, if the appropriate psychometric evaluations are in place, are a feasible means to collect pain data in clinical and research settings.

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Aim: To develop a core outcome set (COS) for evaluating gastrostomy/gastrojejunostomy tube impact in children with neurological impairment.Method: Healthcare providers/researchers and caregivers rated the importance of candidate outcomes on a 5-point Likert scale. Outcomes rated 'somewhat important' or 'very important' by most (≥85%) respondents were voted on during a consensus meeting. Outcomes that reached consensus for inclusion were ratified and assigned to Outcome Measures in Rheumatology filter core areas. The COS was validated in a separate group of caregivers.Results: Twelve outcomes were selected from 120 candidate outcomes to form the COS. These included five 'Life Impact' outcomes, three 'Pathophysiological Manifestations' outcomes, two 'Resource Use' outcomes, one 'Growth and Development' outcome, and one 'Death' outcome.Interpretation: We developed an evidence-informed and consensus-based COS for use in studies of gastrostomy/gastrojejunostomy tube feeding in children with neurological impairment. Implementation of this COS will help reduce heterogeneity between studies and facilitate evidence-based decision-making.What the Paper Adds: Caregivers, healthcare providers, and researchers ranked the importance of 120 outcomes. Twelve core outcomes were identified as essential to measure in future clinical research studies. [ABSTRACT FROM AUTHOR]