Literature DB >> 19319920

Improving patient outcomes through the routine use of patient-reported data in cancer clinics: future directions.

T Luckett1, P N Butow, M T King.   

Abstract

OBJECTIVES: Recent reviews suggest that the routine use of patient-reported outcome measures (PROMs) in cancer clinics improves the processes of care but not patient outcomes such as quality of life or satisfaction. We set out to identify future strategies for (1) interventions to impact patient outcomes and (2) trials to identify treatment effects.
METHODS: MEDLINE and PsycINFO were systematically searched to identify reports of relevant randomized controlled trials. Intervention and trial designs were compared and contrasted along the parameters identified by previous reviews and the rationales reported in each article. Results were cross-referenced with evidence for impact to develop recommendations.
RESULTS: Six articles were identified. Evidence for impact on patient outcomes was limited. Interventions varied according to the PROMs used, the frequency, content and presentation of feedback, and the training offered to medical teams. Trials varied in their unit of randomization, outcome measures, control of contamination, monitoring of PROM use, and length of follow-up. Our analysis identified the need for future interventions to ensure that PROM data are used to optimum effect and for trials to control for contamination and monitor use of PROMs to link this with outcomes.
CONCLUSIONS: Future interventions should motivate and equip health professionals to use PROM data in managing patients, train patients in self-efficacy, use more specific PROMs in clinic, improve the interpretability of feedback for both medical staff and patients, and monitor the use of PROMs to intervene when problems arise. Future trials should use a cluster-randomized design to control for contamination and enable systems-based interventions.

Entities:  

Mesh:

Year:  2009        PMID: 19319920     DOI: 10.1002/pon.1545

Source DB:  PubMed          Journal:  Psychooncology        ISSN: 1057-9249            Impact factor:   3.894


  50 in total

1.  How to interpret multidimensional quality of life questionnaires for patients with schizophrenia?

Authors:  Pierre Michel; Pascal Auquier; Karine Baumstarck; Anderson Loundou; Badih Ghattas; Christophe Lançon; Laurent Boyer
Journal:  Qual Life Res       Date:  2015-04-09       Impact factor: 4.147

Review 2.  [The benefits of using patient-reported outcomes in cancer treatment: an overview].

Authors:  Lisa M Wintner; Johannes M Giesinger; Georg Kemmler; Monika Sztankay; Anne Oberguggenberger; Eva-Maria Gamper; Barbara Sperner-Unterweger; Bernhard Holzner
Journal:  Wien Klin Wochenschr       Date:  2012-04-27       Impact factor: 1.704

3.  Developing a clinical pathway for the identification and management of anxiety and depression in adult cancer patients: an online Delphi consensus process.

Authors:  Joanne M Shaw; Melanie A Price; Josephine M Clayton; Peter Grimison; Tim Shaw; Nicole Rankin; Phyllis N Butow
Journal:  Support Care Cancer       Date:  2015-04-23       Impact factor: 3.603

4.  Can the e-OAKHQOL be an alternative to measure health-related quality of life in knee osteoarthritis?

Authors:  Maud Wieczorek; Christine Rotonda; Jonathan Epstein; Francis Guillemin; Anne-Christine Rat
Journal:  Qual Life Res       Date:  2018-06-12       Impact factor: 4.147

5.  Improving the care of children with advanced cancer by using an electronic patient-reported feedback intervention: results from the PediQUEST randomized controlled trial.

Authors:  Joanne Wolfe; Liliana Orellana; E Francis Cook; Christina Ullrich; Tammy Kang; Jeffrey Russell Geyer; Chris Feudtner; Jane C Weeks; Veronica Dussel
Journal:  J Clin Oncol       Date:  2014-03-10       Impact factor: 44.544

6.  Feasibility of health-related quality of life (HRQoL) assessment for cancer patients using electronic patient-reported outcome (ePRO) in daily clinical practice.

Authors:  Guillaume Mouillet; Antoine Falcoz; Joëlle Fritzsch; Hamadi Almotlak; Pascale Jacoulet; Xavier Pivot; Cristian Villanueva; Laura Mansi; Stefano Kim; Elsa Curtit; Nathalie Meneveau; Olivier Adotevi; Marine Jary; Guillaume Eberst; Angelique Vienot; Fabien Calcagno; Astrid Pozet; Oumelkheir Djoumakh; Christophe Borg; Virginie Westeel; Amélie Anota; Sophie Paget-Bailly
Journal:  Qual Life Res       Date:  2021-01-02       Impact factor: 4.147

7.  How does the Distress Thermometer compare to the Hospital Anxiety and Depression Scale for detecting possible cases of psychological morbidity among cancer survivors?

Authors:  Allison Boyes; Catherine D'Este; Mariko Carey; Christophe Lecathelinais; Afaf Girgis
Journal:  Support Care Cancer       Date:  2012-05-24       Impact factor: 3.603

Review 8.  The Impact of Measuring Patient-Reported Outcome Measures on Quality of and Access to Palliative Care.

Authors:  Deborah Dudgeon
Journal:  J Palliat Med       Date:  2018-01       Impact factor: 2.947

9.  Health perceptions and symptom burden in primary care: measuring health using audio computer-assisted self-interviews.

Authors:  Keiki Hinami; Jennifer Smith; Catherine D Deamant; Romina Kee; Diana Garcia; William E Trick
Journal:  Qual Life Res       Date:  2014-12-07       Impact factor: 4.147

10.  Do we reach the patients with the most problems? Baseline data from the WebCan study among survivors of head-and-neck cancer, Denmark.

Authors:  Trille Kjaer; Christoffer Johansen; Elo Andersen; Randi Karlsen; Anni Linnet Nielsen; Kirsten Frederiksen; Mikael Rørth; Susanne Oksbjerg Dalton
Journal:  J Cancer Surviv       Date:  2015-07-31       Impact factor: 4.442

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