Appl Clin Inform 2024; 15(05): 1130-1139
DOI: 10.1055/s-0044-1791820
Special Section on Patient-Reported Outcomes and Informatics

Predictors of Concordance between Patient-Reported and Provider-Documented Symptoms in the Context of Cancer and Multimorbidity

Stephanie Gilbertson-White
1   College of Nursing, University of Iowa, Iowa City, Iowa, United States
,
Alaa Albashayreh
1   College of Nursing, University of Iowa, Iowa City, Iowa, United States
,
Yuwen Ji
1   College of Nursing, University of Iowa, Iowa City, Iowa, United States
,
Anindita Bandyopadhyay
2   Department of Business Analytics, University of Iowa, Iowa City, Iowa, United States
,
Nahid Zeinali
3   Department of Computer Science and Informatics, University of Iowa, Iowa City, Iowa, United States
,
Catherine Cherwin
1   College of Nursing, University of Iowa, Iowa City, Iowa, United States
› Institutsangaben
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Abstract

Background The integration of patient-reported outcomes (PROs) into clinical care, particularly in the context of cancer and multimorbidity, is crucial. While PROs have the potential to enhance patient-centered care and improve health outcomes through improved symptom assessment, they are not always adequately documented by the health care team.

Objectives This study aimed to explore the concordance between patient-reported symptom occurrence and symptoms documented in electronic health records (EHRs) in people undergoing treatment for cancer in the context of multimorbidity.

Methods We analyzed concordance between patient-reported symptom occurrence of 13 symptoms from the Memorial Symptom Assessment Scale and provider-documented symptoms extracted using NimbleMiner, a machine learning tool, from EHRs for 99 patients with various cancer diagnoses. Logistic regression guided with the Akaike Information Criterion was used to identify significant predictors of symptom concordance.

Results Our findings revealed discrepancies in patient and provider reports, with itching showing the highest concordance (66%) and swelling showing the lowest concordance (40%). There was no statistically significant association between multimorbidity and high concordance, while lower concordance was observed for women, patients with advanced cancer stages, individuals with lower education levels, those who had partners, and patients undergoing highly emetogenic chemotherapy.

Conclusion These results highlight the challenges in achieving accurate and complete symptom documentation in EHRs and the necessity for targeted interventions to improve the precision of clinical documentation. By addressing these gaps, health care providers can better understand and manage patient symptoms, ultimately contributing to more personalized and effective cancer care.

Protection of Human and Animal Subjects

The study was performed in compliance with the World Medical Association Declaration of Helsinki on Ethical Principles for Medical Research Involving Human Subjects and was reviewed and approved by the Institutional Review Board (IRB approval number: 201805851) at the authors' institution.




Publikationsverlauf

Eingereicht: 02. April 2024

Angenommen: 16. September 2024

Artikel online veröffentlicht:
25. Dezember 2024

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