Reducing The Burden Of Patient Reporting Of Physical Function In The Chronic Care Of Cancer Survivors Through A Branching Logic Electronic Symptom Survey (Bless).

Elizabeth Hall, Mindy Liang,Emily K. Tam,Judy Chen, Chenchen Tian,Matthew Campbell, Kathryn Bucci,Lin Lu, Brandon C Tse, Dennis Zheng,Lauren Wong, Samantha Sarabia, Sabrina Yeung, Gursharan Gill, Andrea Perez-Cosio, M Catherine Brown,Wei Xu,Geoffrey Liu,Doris Howell

JOURNAL OF CLINICAL ONCOLOGY(2017)

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摘要
5Background: A patient’s functional status is a key outcome variable used to both measure and improve quality of care in cancer survivors. However, comprehensive research tools such as the HAQ-DI and WHODAS instruments pose 35 questions altogether, increasing patient reporting burden. We evaluated whether a BLESS could be developed with high sensitivity of screening questions followed by questions relevant to specific physical function domain, through a branching logic algorithm. Methods: Adult cancer clinic outpatients at Princess Margaret Cancer Centre used tablet technology to complete the HAQ-DI, WHODAS, EQ-5D-3L and PRO-ECOG. BLESS was developed as an algorithm that used PRO-ECOG/EQ-5D-3L to screen for appropriate domains of HAQ-DI/WHODAS to query. Sensitivity/specificity of BLESS screeners to HAQ-DI/WHODAS items were reported. BLESS derived physical function scores were also compared to scores generated by the full version of WHODAS/HAQ-DI. Results: Of 407 patients,median age was 62 (range 20-93) ye...
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