Understanding data visualization techniques in qualitative studies used to develop and validate patient-reported outcome measures: a targeted literature review.
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| Názov: | Understanding data visualization techniques in qualitative studies used to develop and validate patient-reported outcome measures: a targeted literature review. |
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| Autori: | Seo C; BioPharmaceuticals Medical Evidence, AstraZeneca, Gaithersburg, MD, USA. caroline.seo@astrazeneca.com., Hu S; Patient-Reported Outcomes, Value, and Experience (PROVE) Center, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA., King-Kallimanis BL; Patient-Focused Research Center, LUNGevity Foundation, Chicago, IL, USA., Chang AE; Division of Plastic Surgery, Department of Surgery, University of Pennsylvania, Philadelphia, PA, USA., Regnault A; Modus Outcomes, Lyon, France., Miller AS; Patient-Reported Outcomes, Value, and Experience (PROVE) Center, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA., Kaur MN; Patient-Reported Outcomes, Value, and Experience (PROVE) Center, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA. |
| Zdroj: | Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation [Qual Life Res] 2025 Jul; Vol. 34 (7), pp. 2031-2048. Date of Electronic Publication: 2025 Apr 25. |
| Spôsob vydávania: | Journal Article; Review |
| Jazyk: | English |
| Informácie o časopise: | Publisher: Springer Netherlands Country of Publication: Netherlands NLM ID: 9210257 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2649 (Electronic) Linking ISSN: 09629343 NLM ISO Abbreviation: Qual Life Res Subsets: MEDLINE |
| Imprint Name(s): | Publication: 2005- : Netherlands : Springer Netherlands Original Publication: Oxford, UK : Rapid Communications of Oxford, Ltd, c1992- |
| Výrazy zo slovníka MeSH: | Patient Reported Outcome Measures* , Qualitative Research* , Data Visualization*, Humans ; Reproducibility of Results ; Quality of Life |
| Abstrakt: | Competing Interests: Declarations. Conflicts of interest: Ms. Caroline Seo is a full time employee at AstraZeneca, Dr. King-Kallimanis reports receiving grant support directly paid to their institution and not related to the project from the following: AstraZeneca, Boehringer Ingelheim, Bristol Myers Squibb, Jazz Pharma, Genentech, Eli Lilly, Janssen, Takeda, Daiichi Sankyo, Blueprint Medicines, Janssen, Amgen, Seagen, and Manta Cares. Dr. King-Kallimanis report receiving consulting fees from Eli Lilly, Bristol Myers Squibb, AbbVie, Adelphi Values and Shionogi. The remaining authors have no conflict of interest to disclose. Purpose: Qualitative data that reflects patients' experiences are the foundation of any patient-reported outcome measure (PROM) development and validation study; however, there is limited understanding of the type of data visualization techniques that facilitate communication of this data. The goal of this targeted literature review was to investigate data visualization methods that have been used in published PROM development and validation literature to report qualitative results. Methods: A literature search in OVID via MEDLINE was conducted among the top 10 non-disease-specific journals publishing PROM qualitative development and validation studies. Studies that reported qualitative methods to develop/validate a PROM and included data visualization in the form of tables or figures were included. Article characteristics and data visualization types were extracted. Results: A total of 185 articles were included in data extraction. Most articles (n = 109, 59.1%) included figures (n = 172, average 2 relevant figures per article) in the form of hierarchy/flowcharts (n = 124, 72.1%) and bar charts (n = 29, 16.9%). Information reported in figures included depiction of conceptual frameworks (n = 112, 65.1%) and concept frequency (n = 40, 24.4%). Most articles (n = 152, 81.7%) included tables (n = 307, average 2 relevant tables per article). Information reported in tables included concept frequency (n = 133, 43.3%) and cognitive debriefing and revisions (n = 91, 29.6%). Conclusion: Data visualization techniques used to report qualitative results in the identified PROM qualitative development and validation studies were heterogeneous, and many studies did not utilize any data visualization techniques. This study will inform the development of guidance for using data visualizations to report qualitative PROM research. (© 2025. The Author(s), under exclusive licence to Springer Nature Switzerland AG.) |
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| Contributed Indexing: | Keywords: Data visualization; Development; Patient-reported outcome; Qualitative; Validation |
| Entry Date(s): | Date Created: 20250425 Date Completed: 20250624 Latest Revision: 20250718 |
| Update Code: | 20250718 |
| DOI: | 10.1007/s11136-025-03964-5 |
| PMID: | 40279025 |
| Databáza: | MEDLINE |
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Nájsť tento článok vo Web of Science | Abstrakt: | Competing Interests: Declarations. Conflicts of interest: Ms. Caroline Seo is a full time employee at AstraZeneca, Dr. King-Kallimanis reports receiving grant support directly paid to their institution and not related to the project from the following: AstraZeneca, Boehringer Ingelheim, Bristol Myers Squibb, Jazz Pharma, Genentech, Eli Lilly, Janssen, Takeda, Daiichi Sankyo, Blueprint Medicines, Janssen, Amgen, Seagen, and Manta Cares. Dr. King-Kallimanis report receiving consulting fees from Eli Lilly, Bristol Myers Squibb, AbbVie, Adelphi Values and Shionogi. The remaining authors have no conflict of interest to disclose.<br />Purpose: Qualitative data that reflects patients' experiences are the foundation of any patient-reported outcome measure (PROM) development and validation study; however, there is limited understanding of the type of data visualization techniques that facilitate communication of this data. The goal of this targeted literature review was to investigate data visualization methods that have been used in published PROM development and validation literature to report qualitative results.<br />Methods: A literature search in OVID via MEDLINE was conducted among the top 10 non-disease-specific journals publishing PROM qualitative development and validation studies. Studies that reported qualitative methods to develop/validate a PROM and included data visualization in the form of tables or figures were included. Article characteristics and data visualization types were extracted.<br />Results: A total of 185 articles were included in data extraction. Most articles (n = 109, 59.1%) included figures (n = 172, average 2 relevant figures per article) in the form of hierarchy/flowcharts (n = 124, 72.1%) and bar charts (n = 29, 16.9%). Information reported in figures included depiction of conceptual frameworks (n = 112, 65.1%) and concept frequency (n = 40, 24.4%). Most articles (n = 152, 81.7%) included tables (n = 307, average 2 relevant tables per article). Information reported in tables included concept frequency (n = 133, 43.3%) and cognitive debriefing and revisions (n = 91, 29.6%).<br />Conclusion: Data visualization techniques used to report qualitative results in the identified PROM qualitative development and validation studies were heterogeneous, and many studies did not utilize any data visualization techniques. This study will inform the development of guidance for using data visualizations to report qualitative PROM research.<br /> (© 2025. The Author(s), under exclusive licence to Springer Nature Switzerland AG.) |
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| ISSN: | 1573-2649 |
| DOI: | 10.1007/s11136-025-03964-5 |