Weldring, T., & Smith, S. (2013). Article commentary: Patient-reported outcomes (PROs) and patient-reported outcome measures (PROMs). Health Services Insights, 6, 61–68.
Cappelleri, J. C., Zou, K. H., & Bushmakin, A. G. (2013). Patient-reported outcomes: Measurement, implementation and interpretation, (1st ed., ). New York: Chapman&Hall/CRC Press.
Burke, L., Kennedy, D., Miskala, P., Papadopoulos, E., & Trentacosti, A. (2008). The use of patient-reported outcome measures in the evaluation of medical products for regulatory approval. Clinical Pharmacology and Therapeutics, 84(2), 281–283.
Gnanasakthy, A., Mordin, M., Evans, E., Doward, L., & DeMuro, C. (2017). A review of patient-reported outcome labeling in the United States (2011-2015). Value in Health, 20, 420–429.
U.S. Food and Drug Administration (2009). Guidance for industry - patient-reported outcome measures: Use in medical product Develpment to support labeling claims Available from: http://www.fda.gov/downloads/Drugs/Guidances/UCM193282.pdf., Accessed 04/04/2019.
European Medicines Agency, Committee for Medicinal Products for Human Use (CHMP) (2005). Reflection paper on the regulatory guidance for the use of health-related quality of life (HRQL) measures in the evaluation of medicinal products Available from: http://www.ema.europa.eu/docs/en_GB/document_library/Scientific_guideline/2009/09/WC500003637.pdf. Accessed 4 Apr 2019.
Byrom, B., Gwaltney, C., Slagle, A., et al. (2019). Measurement equivalence of patient-reported outcome measures migrated to electronic formats: A review of evidence and recommendations for clinical trials and bring your own device. Ther Innov Regul Sci, 53, 426–430. https://doi.org/10.1177/2168479018793369
Coons, S. J., Eremenco, S., Lundy, J. J., et al. (2015). Capturing patient-reported outcome (PRO) data electronically: The past, present, and promise of ePRO measurement in clinical trials. Patient, 8(4), 301–309.
Coons, S. J., Gwaltney, C. J., Hays, R. D., et al. (2009). Recommendations on evidence needed to support measurement equivalence between electronic and paper-based patient-reported outcome (PRO) measures: ISPOR ePRO good research practices task force report. Value in Health, 12(4), 419–429.
Oxford University Innovation (2016). Patient-reported outcomes – From paper to ePROs: Good practice for migration Available from: https://innovation.ox.ac.uk/wp-content/uploads/2016/05/ePRO_guide_2016.pdf. Accessed 04/02/2019.
Critical Path Institute ePRO Consortium (2018). Best practices for electronic implementation of response scales for patient-reported outcome measures Available from: https://c-path.org/wp-content/uploads/2018/09/BestPractices2_Response_Scales.pdf. Accessed 4 Apr 2019.
Muehlhausen, W., Doll, H., Quadri, N., et al. (2015). Equivalence of electronic and paper administration of patient-reported outcome measures: A systematic review and meta-analysis of studies conducted between 2007 and 2013. Health and Quality of Life Outcomes, 13, 167.
Gwaltney, C. J., Shields, A. L., & Shiffman, S. (2008). Equivalence of electronic and paper-and-pencil administration of patient-reported outcome measures: A meta-analytic review. Value in Health, 11(2), 322–333.
Sanchez, C. A., & Wiley, J. (2009). To scroll or not to scroll: Scrolling, working memory capacity, and comprehending complex texts. Human Factors, 51(5), 730–738.
Klyszejko, A., Wieczorek, A. M., Sarzynska, J., et al. (2014). Mode of text presentation and its influence on reading efficiency: Scrolling versus pagination. Studia Pscyhologica, 56(4), 309–321.
Byrom, B., Doll, H., Muehlhausen, W., et al. (2017). Measurement equivalence of patient-reported outcome measure response scale types collected using bring your own device compared to paper and a provisioned device: Results of a randomized equivalence trial. Value in Health, 21(5), 581–589.
Gao, L. (2015). Latin squares in experimental design Available from: http://compneurosci.com/wiki/images/9/98/Latin_square_Method.pdf. [Accessed 1 Nov 2018].
Kirk, R. E. (2013). Experimental design: Procedures for the behavioral sciences, (4th ed., ). Thousand Oaks: SAGE Publications.
Ware, J., Kosinski, M., & Keller, S. D. (1996). A 12-item short-form health survey: Construction of scales and preliminary tests of reliability and validity. Medical Care, 34(3), 220–233.
The EuroQol Group (1990). EuroQol-a new facility for the measurement of health-related quality of life. Health Policy, 16(3), 199–208.
Brooks, R. (1996). EuroQol: The current state of play. Health Policy, 37(1), 53–72.
Herdman, M., Gudex, C., Lloyd, A., et al. (2011). Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Quality of Life Research, 20(10), 1727–1736.
Janssen, M. F., Pickard, A. S., Golicki, D., et al. (2013). Measurement properties of the EQ-5D-5L compared to the EQ-5D-3L across eight patient groups: A multi-country study. Quality of Life Research, 22(7), 1717–1727.
Critical Path Institute ePRO Consortium (2018). Best practices for migrating existing patient-reported outcome instruments to a new data collection mode Available from: https://c-path.org/wp-content/uploads/2018/09/BestPractices3_Migrating.pdf. [Accessed 26 Mar 2019].
Walter, S. D., Eliasziw, M., & Donner, A. (1998). Sample size and optimal designs for reliability studies. Statistics in Medicine, 17(1), 101–110.
McGraw, K. O., & Wong, S. P. (1996). Forming inferences about some intraclass correlation coefficients. Psychological Methods, 1, 30–46.
Hankinson, S. E., Manson, J. E., Spiegelman, D., et al. (1995). Reproducibility of plasma hormone levels in postmenopausal women over a two to three year period. Cancer Epidemiology, Biomarkers & Prevention, 4(6), 649–654.
Rao, C. R. (1973). Linear statistical inference and its applications. New York: Wiley.
Statistica (2019). Smartphone unit shipments worldwide by screen size from 2018 to 2022 (in millions) Available from: https://www.statista.com/statistics/684294/global-smartphone-shipments-by-screen-size/. [Accessed 4 June 2019].