Literature DB >> 30985601

Interpreting and Acting on the PRO Scores From the Patient-reported Outcomes for Personalized Treatment and Care (PROMPT-Care) eHealth System.

Afaf Girgis1,2, Ivana Durcinoska1,2, Anthony Arnold3, Geoff P Delaney1,2,4.   

Abstract

INTRODUCTION: Patient-reported Outcomes for Personalized Treatment and Care (PROMPT-Care) is the first eHealth system in Australia that is fully electronically integrated into hospital oncology information systems, enabling real-time, routine collection of patient-reported outcomes (PROs) to support and enable cancer patients to achieve and maintain improved health, well-being, and cancer outcomes. Five previously published papers detail the impetus for developing this eHealth system, its development, and testing of its acceptability and feasibility, the development of algorithms to standardize the cancer care pathways which underpin patient care, and the protocol for evaluating the efficacy of PROMPT-Care.
METHODS: This manuscript provides "how-to" guidance to inform future system development, focusing on selecting relevant PROs and measuring them in cancer patients, score interpretation, and determining recommended care in response to scores which are above the predetermined threshold. DISCUSSION: Electronic PRO systems are increasingly used in cancer clinical care settings, with the potential to support timely patient-centered care when implemented appropriately. KEY POINTS: PRO selection should consider patient response burden, and prioritizing PROs that are amenable to clinical intervention. Having clear, evidence-based, care pathways, and actionable recommendations in response to above-threshold PRO scores facilitate PRO integration into the clinical workflow. Centers should determine thresholds for clinical action for each PRO which provide an acceptable balance between false positives and false negatives; and develop care pathway recommendations which consider the availability of local services and resources, are feasible in the clinical setting, clear, concise, manageable, based on evidence-based guidelines, and adaptable to local environments.

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Mesh:

Year:  2019        PMID: 30985601     DOI: 10.1097/MLR.0000000000001094

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  6 in total

Review 1.  The increasing value of eHealth in the delivery of patient-centred cancer care.

Authors:  Frank J Penedo; Laura B Oswald; Joshua P Kronenfeld; Sofia F Garcia; David Cella; Betina Yanez
Journal:  Lancet Oncol       Date:  2020-05       Impact factor: 41.316

2.  Can Methods Developed for Interpreting Group-level Patient-reported Outcome Data be Applied to Individual Patient Management?

Authors:  Madeleine T King; Amylou C Dueck; Dennis A Revicki
Journal:  Med Care       Date:  2019-05       Impact factor: 2.983

Review 3.  Patient-generated health data and electronic health record integration: a scoping review.

Authors:  Victoria L Tiase; William Hull; Mary M McFarland; Katherine A Sward; Guilherme Del Fiol; Catherine Staes; Charlene Weir; Mollie R Cummins
Journal:  JAMIA Open       Date:  2020-12-05

4.  Patients' experiences and perspectives of patient-reported outcome measures in clinical care: A systematic review and qualitative meta-synthesis.

Authors:  Liam Carfora; Ciara M Foley; Phillip Hagi-Diakou; Phillip J Lesty; Marianne L Sandstrom; Imogen Ramsey; Saravana Kumar
Journal:  PLoS One       Date:  2022-04-21       Impact factor: 3.752

Review 5.  Key considerations to reduce or address respondent burden in patient-reported outcome (PRO) data collection.

Authors:  Olalekan Lee Aiyegbusi; Jessica Roydhouse; Samantha Cruz Rivera; Paul Kamudoni; Peter Schache; Roger Wilson; Richard Stephens; Melanie Calvert
Journal:  Nat Commun       Date:  2022-10-12       Impact factor: 17.694

6.  Web-Based Patient-Reported Outcome Measures for Personalized Treatment and Care (PROMPT-Care): Multicenter Pragmatic Nonrandomized Trial.

Authors:  Afaf Girgis; Ivana Durcinoska; Anthony Arnold; Joseph Descallar; Nasreen Kaadan; Eng-Siew Koh; Andrew Miller; Weng Ng; Martin Carolan; Stephen A Della-Fiorentina; Sandra Avery; Geoff P Delaney
Journal:  J Med Internet Res       Date:  2020-10-29       Impact factor: 5.428

  6 in total

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