Replication package - Potential Effectiveness and Efficiency Issues in usability evaluation within Digital Health: A Systematic Literature Review

1. File: Maqbool_SLR_2023_JSS_Inclusion_610.xlsm. There are two sheets in file. A. Final_Selected_papers, (sheet) aims to provide a comprehensive list of articles (n=610) selected for our SLR, whose process and data items specified and detailed in the article. B. Rejected_After_Full_Review, (sheet) aims to provide a comprehensive list of articles (n=153) rejected for our SLR based on inclusion or exclusion criteria after full article review process, whose process and data items specified and detailed in the article. 2. File: Maqbool_SLR_2023_JSS_Data_Extraction_Form.pdf This file aims to provide a comprehensive data extraction form, whose process and data items specified and detailed in the article. The form was used to elicit data relevant to answer the postulated research questions. This form served as the foundation for the additional information presented in the final paper. 3. File: Bilal_SLR_JSS_Primary_Studies_References.pdf This file contains the primary selected studies (n=610) for the systematic literature review. The systematic review aims to explore and analyse research literature related to usability evaluation methods and their effectiveness and efficiency in the context of digital health applications. This file will help to identity reference of the primary selected study that is cited in the paper using a prefix (S, e.g. S137). This file can be used for peer review, ensuring the reliability and correctness of findings. 4. File: SLR_Analysis_updated_2023.nvp The data extracted from each article was recorded in a worksheet (Excel) and then coded in NVivo 12/14 to categorise (classify) and compare extracted facets. Each data item's category and related paper id are coded in the given Excel file. Papers were not included in the NVivo project due to copyright concerns. Relevant papers can be tracked using the provided spreadsheet file (see Paper ID cell). The file(s) are cleaned as much as reasonable and other raw data is removed. This file does not include the matrix tables or codes, which were produced and analysed run-time during the analysis phase. Although the given package allows for re-generation. This replication package is produced and published here. Research conducted by Karlstad University researchers. We publish data sets to improve coverage and accessibility. For more info or concerns, contact us. This work was funded, in parts, by Region Värmland via the DigitalWell Arena project (Dnr RV2018-678)