Literature DB >> 33864164

The development and initial validation of the Breast Cancer Recurrence instrument (BreastCaRe)-a patient-reported outcome measure for detecting symptoms of recurrence after breast cancer.

Beverley Lim Høeg1, Lena Saltbæk2,3, Karl Bang Christensen4, Randi Valbjørn Karlsen5, Christoffer Johansen5,6, Susanne Oksbjerg Dalton2,3, Antonia Bennett7, Pernille Envold Bidstrup5,8.   

Abstract

PURPOSE: Patient-reported outomes (PRO) may facilitate prompt treatment. We describe the development and psychometric properties of the first instrument to monitor for symptoms of breast cancer (BC) recurrence.
METHODS: This study is nested in the MyHealth randomized trial of nurse-led follow-up based on electronically-collected PROs. We constructed items assessing symptoms of potential recurrence through expert interviews with six BC specialists in Denmark. Semi-structured cognitive interviews were carried out with a patient panel to assess acceptability and comprehensibility. Items were subsequently tested in a population of 1170 women 1-10 years after completing BC treatment. We carried out multiple-groups confirmatory factor analysis (CFA) and Rasch analysis to test dimensionality, local dependence (LD) and differential item functioning (DIF) according to sociodemographic and treatment-related factors. Clinical data was obtained from the Danish Breast Cancer Group registry.
RESULTS: Twenty-two items were generated for the Breast Cancer Recurrence instrument (BreastCaRe). Cognitive testing resulted in clearer items. Seven subscales based on general, bone, liver, lung, brain, locoregional and contralateral recurrence symptoms were proposed. Both CFA and Rasch models confirmed the factor structure. No DIF was identified. Five item pairs showed LD but all items were retained to avoid loss of clinical information. Rasch models taking LD into account were used to generate a standardized scoring table for each subscale.
CONCLUSIONS: The BreastCaRe has good content and structural validity, patient acceptability and measurement invariance. We are preparing to examine the predictive validity of this new instrument.

Entities:  

Keywords:  Breast cancer follow-up; Multiple groups factor analysis; Patient-reported outcome; Rasch models; Recurrence

Year:  2021        PMID: 33864164     DOI: 10.1007/s11136-021-02841-1

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  20 in total

1.  Randomized Trial Comparing a Web-Mediated Follow-up With Routine Surveillance in Lung Cancer Patients.

Authors:  Fabrice Denis; Claire Lethrosne; Nicolas Pourel; Olivier Molinier; Yoann Pointreau; Julien Domont; Hugues Bourgeois; Hélène Senellart; Pierre Trémolières; Thibaut Lizée; Jaafar Bennouna; Thierry Urban; Claude El Khouri; Alexandre Charron; Anne-Lise Septans; Magali Balavoine; Sébastien Landry; Philippe Solal-Céligny; Christophe Letellier
Journal:  J Natl Cancer Inst       Date:  2017-09-01       Impact factor: 13.506

2.  Detection of lung cancer relapse using self-reported symptoms transmitted via an internet web-application: pilot study of the sentinel follow-up.

Authors:  Fabrice Denis; Louise Viger; Alexandre Charron; Eric Voog; Olivier Dupuis; Yoann Pointreau; Christophe Letellier
Journal:  Support Care Cancer       Date:  2014-01-12       Impact factor: 3.603

3.  Annual Hazard Rates of Recurrence for Breast Cancer During 24 Years of Follow-Up: Results From the International Breast Cancer Study Group Trials I to V.

Authors:  Marco Colleoni; Zhuoxin Sun; Karen N Price; Per Karlsson; John F Forbes; Beat Thürlimann; Lorenzo Gianni; Monica Castiglione; Richard D Gelber; Alan S Coates; Aron Goldhirsch
Journal:  J Clin Oncol       Date:  2016-01-19       Impact factor: 44.544

Review 4.  Patient-reported outcomes in routine cancer clinical practice: a scoping review of use, impact on health outcomes, and implementation factors.

Authors:  D Howell; S Molloy; K Wilkinson; E Green; K Orchard; K Wang; J Liberty
Journal:  Ann Oncol       Date:  2015-04-17       Impact factor: 32.976

5.  A retrospective study of first indicators of breast cancer recurrence.

Authors:  X Pivot; L Asmar; G N Hortobagyi; R Theriault; F Pastorini; A Buzdar
Journal:  Oncology       Date:  2000-04       Impact factor: 2.935

6.  Whose perspective is it anyway? Dilemmas of patient involvement in the development of a randomized clinical trial - a qualitative study.

Authors:  Beverley Lim Høeg; Tine Tjørnhøj-Thomsen; Julie Alling Skaarup; Henriette Langstrup; Vibeke Zoffmann; Lena Saltbaek; Randi Valbjørn Karlsen; Susanne Oksbjerg Dalton; Christoffer Johansen; Pernille Envold Bidstrup
Journal:  Acta Oncol       Date:  2019-02-06       Impact factor: 4.089

7.  Patterns in detection of recurrence among patients treated for breast cancer.

Authors:  Lena Saltbæk; Trine Allerslev Horsboel; Birgitte Vrou Offersen; Michael Andersson; Anne Sofie Friberg; Signe Korsgaard Skriver; Pernille Envold Bidstrup; Jens Overgaard; Christoffer Johansen; Susanne Oksbjerg Dalton
Journal:  Breast Cancer Res Treat       Date:  2020-08-06       Impact factor: 4.872

8.  Options for early breast cancer follow-up in primary and secondary care - a systematic review.

Authors:  Frances Taggart; Peter Donnelly; Janet Dunn
Journal:  BMC Cancer       Date:  2012-06-13       Impact factor: 4.430

9.  Pattern of Local Recurrence and Distant Metastasis in Breast Cancer By Molecular Subtype.

Authors:  Xingrao Wu; Ayesha Baig; Goulnar Kasymjanova; Kamran Kafi; Christina Holcroft; Hind Mekouar; Annie Carbonneau; Boris Bahoric; Khalil Sultanem; Thierry Muanza
Journal:  Cureus       Date:  2016-12-09

Review 10.  A systematic review of the impact of routine collection of patient reported outcome measures on patients, providers and health organisations in an oncologic setting.

Authors:  Jack Chen; Lixin Ou; Stephanie J Hollis
Journal:  BMC Health Serv Res       Date:  2013-06-11       Impact factor: 2.655

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