Development and Integration of Patient-Reported Measures into E-Health System: Pilot Feasibility Study.
Goda Elizabeta VaitkevičienėKarolis AžukaitisAugustina JankauskienėJustė PetrėnėRoma PuronaitėJustas TrinkūnasDanguolė JankauskienėPublished in: Healthcare (Basel, Switzerland) (2023)
Patient-centered care is recognized as a key element in recent healthcare management strategies. However, the integrated collection of patient feedback capturing the entire journey of patients with complex medical conditions remains understudied. Herein, we aimed to describe the development of an instrument prototype for the collection of PROMs and PREMs that would encompass a whole patient journey at a single time point. We further describe the process of its integration into a hospital's information system (HIS) and the results of a pilot feasibility study in adult patients with kidney and hematological diseases. We developed an instrument consisting of original PREM and generic EQ-5D-5L questionnaires. E-questionnaires were handled with REDCap software (version 12.5.14) and integrated into the HIS. Patients refusing to use e-questionnaires (48%) were offered paper administration and were older (64 vs. 50 years). The overall response rate for e-questionnaires was 57.1% with a median completion time of 2.0 and 3.7 min for PROM and PREM, respectively. Psychological and social services and primary care setting (diagnosis establishment and involvement in continuous care) were identified as most problematic. The majority of PREM dimensions encompassing different levels of care significantly correlated with PROM responses. Our data indicate the feasibility and potential relevance of the proposed approach, although wider-scale studies in diverse settings are needed.
Keyphrases
- healthcare
- patient reported outcomes
- psychometric properties
- patient reported
- primary care
- palliative care
- quality improvement
- affordable care act
- case report
- ejection fraction
- newly diagnosed
- study protocol
- health information
- risk assessment
- randomized controlled trial
- chronic pain
- middle aged
- artificial intelligence
- sleep quality
- climate change
- adverse drug