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Finding the Person in Electronic Health Records. A Mixed-Methods Analysis of Person-Centered Content and Language

Authors :
Sofie Jakobsson
Birgit Heckemann
Daniel S Olsson
Eva Jakobsson Ung
Maryam Chaaya
Source :
Health communication. 37(4)
Publication Year :
2020

Abstract

The co-creation and sharing of documentation of person-centered care is important, but challenging in clinical practice. Online access to health records is considered essential to increase patient participation and empowerment in person-centered care provision. The aims of this study were (1) to identify the extent of person-centered content in medical inpatient records and discharge letters; (2) to describe the characteristics of the language and rhetoric used in discharge letters. This was a concurrent, mixed-methods study involving a deductive, quantitative analysis of person-centered content in 69 Patient Accessible Electronic Health Records from patients with pituitary tumors, and an iterative, qualitative language analysis of a nested sample of 57 discharge letters. Both the content and language of inpatient records were mostly patient-centered. Records were concerned with the documentation of symptoms and medical and care interventions. There was little person-centered documentation of patients' preferences, wishes and needs, and shared decision-making. In the discharge letters, written for the patients, some physicians had attempted to write in a person-centered way, using plain language and a narrative. However, most wrote in a style that was reflective of their discourse community, using abbreviations and medical terms. Established norms for documentation in healthcare are a barrier to person-centered documentation. Patients' needs and preferences about documentation should be explored to increase understanding of how person-centered documentation can be achieved in clinical practice.

Details

ISSN :
15327027
Volume :
37
Issue :
4
Database :
OpenAIRE
Journal :
Health communication
Accession number :
edsair.doi.dedup.....00f4c74a2960e2688db4e05ddd1f2233