P035 Digital PROMs in practice: lessons from a sleep clinic

Abstract Background Patient-reported outcome measures (PROMs) are increasingly valued for supporting person-centred care. However, routine use in sleep medicine remains limited. This paper presents practitioner perspectives on the feasibility and clinical utility of a digital PROMs collection and engagement system piloted at a leading sleep clinic. Methods A commercial data solutions partner co-designed a secure, mobile-friendly app to automate the digital collection, scoring, and reporting of PROMs. Summaries were integrated into the electronic health record and embedded in pre-consultation notes for follow-up appointments. A cohort of new patients under the care of participating practitioners completed validated digital surveys on sleep and mental health symptoms. After diagnosis and treatment planning, long-term outcomes were tracked using periodic disease- and treatment-specific questionnaires. Over a six-month period, we monitored patient engagement and gathered feedback from patients and practitioners. Results Initial challenges included variation in patient digital literacy, delays in data integration and some staff resistance. These were addressed through iterative adjustments. Once resolved, clinical workflows continued with minimal disruption and little added workload. Patient engagement was strong, with over 80% completing follow-up surveys. Practitioners reported that timely, structured PROM data supported more patient-centred consultations by helping focus discussions, guide decisions, and tailor follow-up plans. Discussion The integration of PROMs into routine workflows proved feasible and clinically useful. Importantly, the structured patient-reported data enhanced the existing clinical record, enabling combined analysis of clinical, demographic and patient-reported information. This richer dataset supports more targeted care and provides a foundation for ongoing innovation in sleep healthcare delivery.

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Publication Details

Journal
SLEEP Advances
Published
2025-10-01
DOI
https://doi.org/10.1093/sleepadvances/zpaf053.095
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
0.00
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article

P035 Digital PROMs in practice: lessons from a sleep clinic

Nicola Malagutti, Sarah Miller, Lan S. Chen
SLEEP Advances
Sleep and related disorders
article

P035 Digital PROMs in practice: lessons from a sleep clinic

Nicola Malagutti, Sarah Miller, Lan S. Chen
article en

Abstract

Abstract Background Patient-reported outcome measures (PROMs) are increasingly valued for supporting person-centred care. However, routine use in sleep medicine remains limited. This paper presents practitioner perspectives on the feasibility and clinical utility of a digital PROMs collection and engagement system piloted at a leading sleep clinic. Methods A commercial data solutions partner co-designed a secure, mobile-friendly app to automate the digital collection, scoring, and reporting of PROMs. Summaries were integrated into the electronic health record and embedded in pre-consultation notes for follow-up appointments. A cohort of new patients under the care of participating practitioners completed validated digital surveys on sleep and mental health symptoms. After diagnosis and treatment planning, long-term outcomes were tracked using periodic disease- and treatment-specific questionnaires. Over a six-month period, we monitored patient engagement and gathered feedback from patients and practitioners. Results Initial challenges included variation in patient digital literacy, delays in data integration and some staff resistance. These were addressed through iterative adjustments. Once resolved, clinical workflows continued with minimal disruption and little added workload. Patient engagement was strong, with over 80% completing follow-up surveys. Practitioners reported that timely, structured PROM data supported more patient-centred consultations by helping focus discussions, guide decisions, and tailor follow-up plans. Discussion The integration of PROMs into routine workflows proved feasible and clinically useful. Importantly, the structured patient-reported data enhanced the existing clinical record, enabling combined analysis of clinical, demographic and patient-reported information. This richer dataset supports more targeted care and provides a foundation for ongoing innovation in sleep healthcare delivery.

SLEEP AdvancesVol. 6(Supplement_1)
Australian National University (AU), Sleep Research Society (US), National Computational Infrastructure (AU)
Openalex Percentile: Top 72%
Sleep and related disorders
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