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Abstract
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.
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1 The Netherlands Cancer Institute, Department of Psychosocial Research, Division of Psychosocial Research and Epidemiology, Amsterdam, The Netherlands (GRID:grid.430814.a) (ISNI:0000 0001 0674 1393)
2 The Netherlands Cancer Institute, Department of Psychosocial Research, Division of Psychosocial Research and Epidemiology, Amsterdam, The Netherlands (GRID:grid.430814.a) (ISNI:0000 0001 0674 1393); Department for Health Evidence, Radboudumc, Nijmegen, The Netherlands (GRID:grid.10417.33) (ISNI:0000 0004 0444 9382)
3 The Netherlands Cancer Institute, Library and Scientific Information Department, Amsterdam, The Netherlands (GRID:grid.430814.a) (ISNI:0000 0001 0674 1393)
4 The Netherlands Cancer Institute, Department of Psychosocial Research, Division of Psychosocial Research and Epidemiology, Amsterdam, The Netherlands (GRID:grid.430814.a) (ISNI:0000 0001 0674 1393); University of Amsterdam, Department of Psychology, Amsterdam, The Netherlands (GRID:grid.7177.6) (ISNI:0000000084992262)
5 Antoni Van Leeuwenhoek, Department of Surgical Oncology, Amsterdam, The Netherlands (GRID:grid.430814.a) (ISNI:0000 0001 0674 1393)
6 Antoni Van Leeuwenhoek, Department of Surgical Oncology, Amsterdam, The Netherlands (GRID:grid.430814.a) (ISNI:0000 0001 0674 1393); Leiden University Medical Center, Department of Biomedical Data Sciences, Leiden, The Netherlands (GRID:grid.10419.3d) (ISNI:0000000089452978)
7 The Netherlands Cancer Institute, Department of Psychosocial Research, Division of Psychosocial Research and Epidemiology, Amsterdam, The Netherlands (GRID:grid.430814.a) (ISNI:0000 0001 0674 1393); Netherlands Comprehensive Cancer Organization, Department of Research and Development, Utrecht, The Netherlands (GRID:grid.430814.a); Tilburg University, Department of Medical and Clinical Psychology, Center of Research On Psychological and Somatic Disorders (CoRPS), Tilburg, The Netherlands (GRID:grid.12295.3d) (ISNI:0000 0001 0943 3265)