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      Development of the Emoji Faces Pain Scale and Its Validation on Mobile Devices in Adult Surgery Patients: Longitudinal Observational Study

      research-article
      , MD 1 , , MPH 2 , , MD 1 , , MD 1 , , MD 1 , , BSc 1 , , PhD 1 , 3 ,
      (Reviewer), (Reviewer)
      Journal of Medical Internet Research
      JMIR Publications
      pain, mHealth, scale development, emoji, surgery

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          Abstract

          Background

          Measuring pain on digital devices using classic unidimensional pain scales such as the visual analog scale (VAS), numerical rating scale (NRS), and faces pain scale (FPS) has been proven to be reliable and valid. Emoji are pictographs designed in colorful form following the Unicode standard. It could be more beneficial to use emoji as faces of FPS on digital devices because emoji can easily fit on most devices and emoji are open-source so no approval would be needed before use. With a concise and user-friendly design, the emoji faces pain scale (Emoji-FPS) might be more generalizable to a wider population and more preferred by digital device users.

          Objective

          This study was designed to develop an Emoji-FPS as well as to evaluate its reliability, validity, and preference on mobile devices in adult patients who underwent surgery.

          Methods

          A modified Delphi technique with 2 rounds of web-based surveys was applied to obtain panelists’ consensus on the sequence of emoji that can best represent 6 levels of pain. The initial candidate sequences of emoji for the Delphi process were constructed referring to 2 well-validated FPSs (Wong-Baker FACES pain rating scale [Wong-Baker FACES] and faces pain scale-revised [FPS-R]). Then, a prospective cohort of patients scheduled to receive perianal surgery was recruited and asked to complete a web-based questionnaire on a mobile device at 5 time points (before surgery [T1], wake up after surgery [T2], 4 hours after surgery [T3], the second day after surgery [T4], and 15 minutes after T4 [T5]). The 4 well-validated pain scales (NRS, VAS, Wong-Baker FACES, and FPS-R) were used as reference scales.

          Results

          After 2 rounds of surveys on 40 Delphi panelists, an Emoji-FPS was finally determined to represent 6 pain levels (0, 2, 4, 6, 8, and 10) from “no hurt” to “hurts worst.” For validation, 300 patients were recruited and 299 were analyzed, the mean age of whom was 38.5 (SD 10.5) years, and 106 (35.5%) were women. For concurrent validity, the Emoji-FPS was highly correlated with 4 reference scales with Spearman correlation coefficient ρ ranging from 0.91 to 0.95. Excellent agreements were observed between 4 versions of Emoji-FPS (iOS, Android, Microsoft, and OpenMoji), with weighted κ coefficients ranging from 0.96 to 0.97. For discriminant validity, patients’ mean preoperative Emoji-FPS score (T1) was significantly higher than their postoperative Emoji-FPS score (T4) with a difference of 1.4 (95% CI 1.3-1.6; P<.001). For test-retest reliability, Emoji-FPS scores measured at T4 and T5 were highly correlated with a ρ of 0.91. The Emoji-FPS was mostly preferred, followed by the Wong-Baker FACES, FPS-R, NRS, and VAS.

          Conclusions

          The Emoji-FPS is reliable and valid compared with traditional pain scales in adult surgery patients.

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          Most cited references28

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          Improving the Quality of Web Surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES)

          Analogous to checklists of recommendations such as the CONSORT statement (for randomized trials), or the QUORUM statement (for systematic reviews), which are designed to ensure the quality of reports in the medical literature, a checklist of recommendations for authors is being presented by the Journal of Medical Internet Research (JMIR) in an effort to ensure complete descriptions of Web-based surveys. Papers on Web-based surveys reported according to the CHERRIES statement will give readers a better understanding of the sample (self-)selection and its possible differences from a “representative” sample. It is hoped that author adherence to the checklist will increase the usefulness of such reports.
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            • Record: found
            • Abstract: found
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            Research guidelines for the Delphi survey technique.

            Consensus methods such as the Delphi survey technique are being employed to help enhance effective decision-making in health and social care. The Delphi survey is a group facilitation technique, which is an iterative multistage process, designed to transform opinion into group consensus. It is a flexible approach, that is used commonly within the health and social sciences, yet little guidance exists to help researchers undertake this method of data collection. This paper aims to provide an understanding of the preparation, action steps and difficulties that are inherent within the Delphi. Used systematically and rigorously, the Delphi can contribute significantly to broadening knowledge within the nursing profession. However, careful thought must be given before using the method; there are key issues surrounding problem identification, researcher skills and data presentation that must be addressed. The paper does not claim to be definitive; it purports to act as a guide for those researchers who wish to exploit the Delphi methodology.
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              • Record: found
              • Abstract: found
              • Article: not found

              A systematic review of the pain scales in adults: Which to use?

              The study analysed the Visual Analogue Scale (VAS), the Verbal Rating Scale (VRS) and the Numerical Rating Scale (NRS) to determine: 1. Were the compliance and usability different among scales? 2. Were any of the scales superior over the other(s) for clinical use?
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                2023
                17 April 2023
                : 25
                : e41189
                Affiliations
                [1 ] Anesthesiology Department Shuguang Hospital Shanghai University of Traditional Chinese Medicine Shanghai China
                [2 ] Faculty of Dentistry The University of Hong Kong Hong Kong SAR China (Hong Kong)
                [3 ] Acupuncture and Anesthesia Research Institute Shuguang Hospital Shanghai University of Traditional Chinese Medicine Shanghai China
                Author notes
                Corresponding Author: Jiangang Song songjg1993@ 123456shutcm.edu.cn
                Author information
                https://orcid.org/0000-0001-9601-8632
                https://orcid.org/0000-0003-4818-4382
                https://orcid.org/0000-0001-6406-3041
                https://orcid.org/0000-0001-5198-2540
                https://orcid.org/0000-0003-3646-2402
                https://orcid.org/0000-0003-4137-1046
                https://orcid.org/0000-0003-0120-8463
                Article
                v25i1e41189
                10.2196/41189
                10152337
                37067854
                a8cccb7b-2f99-4d58-873b-eea9736299d9
                ©Lili Li, Sicheng Wu, Jian Wang, Chunchun Wang, Weixin Zuo, Liping Yu, Jiangang Song. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 17.04.2023.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 19 July 2022
                : 19 December 2022
                : 5 February 2023
                : 15 March 2023
                Categories
                Original Paper
                Original Paper

                Medicine
                pain,mhealth,scale development,emoji,surgery
                Medicine
                pain, mhealth, scale development, emoji, surgery

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