Open AccessMeasuring recall of medical information in non‐English‐speaking people with cancer: A methodology
Author(s) -
LipsonSmith Ruby,
Hyatt Amelia,
Murray Alexandra,
Butow Phyllis,
Hack Thomas F.,
Jefford Michael,
Ozolins Uldis,
Hale Sandra,
Schofield Penelope
Publication year - 2018
Publication title -
health expectations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.314
H-Index - 74
eISSN - 1369-7625
pISSN - 1369-6513
DOI - 10.1111/hex.12614
Subject(s) - recall , coding (social sciences) , interpreter , computer science , context (archaeology) , medical information , medical record , natural language processing , medicine , psychology , medical education , information retrieval , radiology , cognitive psychology , programming language , paleontology , statistics , mathematics , biology
Background Many patients who require an interpreter have difficulty remembering information from their medical consultations. Memory aids such as consultation audio‐recordings may be of benefit to these patients. However, there is no established means of measuring patients’ memory of medical information. Objectives This study aimed to develop a method for eliciting and coding recall of medical information in non‐English‐speaking patients. Design This method, called Patient‐Interpreter‐Clinician coding ( PIC code), was developed in the context of a phase II trial conducted in two outpatient oncology clinics in Melbourne, Australia, and was refined iteratively through consultation with an expert panel and piloting. Between‐coder differences in early versions of the coding system were resolved through discussion and consensus resulting in refinements to PIC code. Results The final version of PIC code involved transcribing, translating and coding of audio‐recorded consultations and semi‐structured interviews ( SSI ). The SSI s were designed to elicit patients’ free‐recall of medical information. Every unit of medical information in the consultation was identified and categorized in a coding tree. SSI s were coded to identify the extent to which information was recalled from the consultation. Discussion The iterative changes involved in developing PIC code assisted in clarifying precise details of the process and produced a widely applicable coding system. PIC code is the most comprehensively described method of determining the amount of information that patients who use an interpreter recall from their medical consultations. PIC code can be adapted for English‐speaking patients and other healthcare populations.