Capturing and missing the patient's story through outcome measures: A thematic comparison of patient-generated items in PSYCHLOPS with CORE-OM and PHQ-9.

Célia M D SalesInês Td NevesPaula G AlvesMark Ashworth

Published in: Health expectations : an international journal of public participation in health care and health policy (2017)

Results demonstrate the relevance of individualized outcome assessment for capturing data describing the issues of greatest concern to patients, as nomothetic measures do not always seem to capture the whole story.

Keyphrases

end stage renal disease
case report
ejection fraction
newly diagnosed
peritoneal dialysis
machine learning
patient reported outcomes