2021
DOI: 10.1007/s00520-021-06262-1
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Impact of assessment frequency of patient-reported outcomes: an observational study using an eHealth platform in cancer patients

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Cited by 6 publications
(9 citation statements)
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“…The importance of self-reporting frequency is also supported less directly by 3% (2/61) of studies that evaluated the effect of the cadence of ePROM self-reporting on symptom monitoring [ 73 , 74 ]. Daly et al [ 74 ] evaluated daily ePROM reporting in patients initiating anticancer treatment and observed that 45.1% of red alerts generated by completing ePROM reports were not preceded by yellow alerts in the previous 7 days.…”
Section: Resultsmentioning
confidence: 99%
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“…The importance of self-reporting frequency is also supported less directly by 3% (2/61) of studies that evaluated the effect of the cadence of ePROM self-reporting on symptom monitoring [ 73 , 74 ]. Daly et al [ 74 ] evaluated daily ePROM reporting in patients initiating anticancer treatment and observed that 45.1% of red alerts generated by completing ePROM reports were not preceded by yellow alerts in the previous 7 days.…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, less-frequent reporting might not only miss red alerts because they are not preceded by yellow alerts but also miss the opportunity to prevent adverse events. Another study by Innominato et al [ 73 ], with a small sample size, used exploratory analysis of longitudinal data and showed that 55.6% of severe symptoms might be missed when symptoms were sampled only weekly. Presuming that the immediacy of self-reporting when symptoms occur is important to accurately report symptoms without being affected by recall issues, it can be inferred from the abovementioned studies that frequent reporting may offer a better opportunity to identify symptoms and potentially prevent downstream adverse events.…”
Section: Resultsmentioning
confidence: 99%
“… 23 , 24 Finally, the optimal frequency, in terms of insight generated and compliance over time, is yet to be defined. 25 …”
Section: Electronic Patient-reported Outcomes (Epros)mentioning
confidence: 99%
“…The choice and integration of appropriate wearables and PRO measures, and the definition of their frequency of sampling will require abiding by clinical needs, feasibility, acceptability, usability and attrition, patients' preferences, and technical constraints. 25,31,[81][82][83] The analytical algorithms that provide the most relevant insight to the clinical team and the patient need to be developed, tested and improved, and ideally coupled with predictive and interpolative algorithms to maximize the potential benefit to the patients. [84][85][86] The caring team at large, both hospital-and community-based, should integrate not only the nursing and physician actors, but also the allied healthcare staff who could promote effective and safe behavioral interventions on patient's physical and psychological domains.…”
Section: Circadian Phenotypingmentioning
confidence: 99%
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