Visualization formats of patient-reported outcome measures in clinical practice: a systematic review about preferences and interpretation accuracy

• Published in: Journal of patient-reported outcomes Vol. 6; no. 1; p. 18
• Main Authors: Albers, Elaine A. C., Fraterman, Itske, Walraven, Iris, Wilthagen, Erica, Schagen, Sanne B., van der Ploeg, Iris M., Wouters, Michel W. J. M., van de Poll-Franse, Lonneke V., de Ligt, Kelly M.
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 03.03.2022; Springer Nature B.V; SpringerOpen
• Subjects: Accuracy; Clinical decision making; Clinical medicine; Data visualization; Graphs; Medicine; Medicine & Public Health; Patient reported outcome measures; Patients; Quality of Life Research; Shared decision-making; Systematic review; Visualization; Patient reported outcome measures; Systematic review; Data visualization; Shared decision-making
• ISSN: 2509-8020; 2509-8020
• DOI: 10.1186/s41687-022-00424-3

Purpose The use of Patient-Reported Outcome Measures (PROMs) for individual patient management within clinical practice is becoming increasingly important. New evidence about graphic visualization formats for PROMs scores has become available. This systematic literature review evaluated evidence for graphic visualization formats of PROMs data in clinical practice for patients and clinicians, for both individual and group level PROMs data. Methods Studies published between 2000 and 2020 were extracted from CINAHL, PubMed, PsychInfo, and Medline. Studies included patients ≥ 18 years old in daily clinical practice. Papers not available in English, without full-text access, or that did not specifically describe visualization of PROMs data were excluded. Outcomes were: visualization preferences; interpretation accuracy; guidance for clinical interpretation. Results Twenty-five out of 789 papers were included for final analysis. Most frequently studied formats were: bar charts, line graphs, and pie charts. Patients preferred bar charts and line graphs as these were easy and quick for retrieving information about their PROMs scores over time. Clinicians’ interpretation accuracy and preferences were similar among graphic visualization formats. Scores were most often compared with patients’ own previous scores; to further guide clinical interpretation, scores were compared to norm population scores. Different ‘add-ons’ improved interpretability for patients and clinicians, e.g. using colors, descriptions of measurement scale directionality, descriptive labels, and brief definitions. Conclusion There was no predominant graphical visualization format approach in terms of preferences or interpretation accuracy for both patients and clinicians. Detailed clarification of graph content is essential. Plain English summary Patient-Reported Outcome Measures (PROMs) capture patients' self-reported health through the use of questionnaires. PROMs measure health related quality of life, daily functioning, and symptom experience, which are becoming increasingly important to incorporate in clinical practice for individual patient management. To present PROMs within clinical practice, raw or summarized PROMs scores can be visualized in graphical formats. To be useful during clinical encounters, both patients and clinicians ought to interpret such formats correctly. New evidence about graphic visualization formats for PROMs scores has become available. Therefore, we systematically reviewed the literature to evaluate evidence for graphic visualization formats of PROMs data in clinical practice. In 25 included papers, most studies used graphical formats like bar charts, line graphs, and pie charts for presenting PROMs scores. There was no predominant graphical visualization format approach in terms of preferences or interpretation accuracy for both patients and clinicians. Patients preferred bar charts and line graphs as these were easy and quick for retrieving information about their PROMs scores over time. Clinicians’ interpretation accuracy and preferences were similar among graphic visualization formats. The graphical interpretation of PROMs data for patients and clinicians can be improved by using colors, descriptions of measurement scale directionality, descriptive labels, and brief definitions.