TY - JOUR
T1 - Evaluation of Patient-Friendly Diagnosis Clarifications in a Hospital Patient Portal
AU - van Mens, Hugo Johan Theodoor
AU - Hannen, Gaby Elisabeth Gertruda
AU - Nienhuis, Remko
AU - Bolt, Roel J.
AU - de Keizer, Nicolette F.
AU - Cornet, Ronald
PY - 2022
Y1 - 2022
N2 - Background Medical data can be difficult to comprehend for patients, but only a limited number of patient-friendly terms and definitions are available to clarify medical concepts. Therefore, we developed an algorithm that generalizes diagnoses to more general concepts that do have patient-friendly terms and definitions in SNOMED CT. We implemented the generalizations, and diagnosis clarifications with synonyms and definitions that were already available, in the problem list of a hospital patient portal. Objective We aimed to assess the extent to which the clarifications cover the diagnoses in the problem list, the extent to which clarifications are used and appreciated by patient portal users, and to explore differences in viewing problems and clarifications between subgroups of users and diagnoses. Methods We measured the coverage of diagnoses by clarifications, usage of the problem list and the clarifications, and user, patient and diagnosis characteristics with aggregated, routinely available electronic health record and log file data. Additionally, patient portal users provided quantitative and qualitative feedback about the clarification quality. Results Of all patient portal users that viewed diagnoses on their problem list (n = 2,660), 89% had one or more diagnoses with clarifications. 55% of patient portal users viewed the clarifications. Users that rated the clarifications (n = 108) considered the clarifications to be of good quality on average, with a median rating per patient of 6 (interquartile range: 4 - 7; from 1 very bad to 7 very good). Users commented that they found clarifications to be clear and recognized the clarifications from their own experience, but sometimes also found the clarifications incomplete or disagreed with the diagnosis itself. Conclusions This study shows that the clarifications are used and appreciated by patient portal users. Further research and development will be dedicated to the maintenance and further quality improvement of the clarifications.
AB - Background Medical data can be difficult to comprehend for patients, but only a limited number of patient-friendly terms and definitions are available to clarify medical concepts. Therefore, we developed an algorithm that generalizes diagnoses to more general concepts that do have patient-friendly terms and definitions in SNOMED CT. We implemented the generalizations, and diagnosis clarifications with synonyms and definitions that were already available, in the problem list of a hospital patient portal. Objective We aimed to assess the extent to which the clarifications cover the diagnoses in the problem list, the extent to which clarifications are used and appreciated by patient portal users, and to explore differences in viewing problems and clarifications between subgroups of users and diagnoses. Methods We measured the coverage of diagnoses by clarifications, usage of the problem list and the clarifications, and user, patient and diagnosis characteristics with aggregated, routinely available electronic health record and log file data. Additionally, patient portal users provided quantitative and qualitative feedback about the clarification quality. Results Of all patient portal users that viewed diagnoses on their problem list (n = 2,660), 89% had one or more diagnoses with clarifications. 55% of patient portal users viewed the clarifications. Users that rated the clarifications (n = 108) considered the clarifications to be of good quality on average, with a median rating per patient of 6 (interquartile range: 4 - 7; from 1 very bad to 7 very good). Users commented that they found clarifications to be clear and recognized the clarifications from their own experience, but sometimes also found the clarifications incomplete or disagreed with the diagnosis itself. Conclusions This study shows that the clarifications are used and appreciated by patient portal users. Further research and development will be dedicated to the maintenance and further quality improvement of the clarifications.
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85161194312&origin=inward
UR - https://www.ncbi.nlm.nih.gov/pubmed/37003266
U2 - https://doi.org/10.1055/a-2067-5310
DO - https://doi.org/10.1055/a-2067-5310
M3 - Article
C2 - 37003266
SN - 1869-0327
JO - Applied Clinical Informatics
JF - Applied Clinical Informatics
ER -