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

Denis, Fabrice; Lethrosne, Claire; Pourel, N.; Molinier, Olivier; Pointreau, Y.; Dômont, Julien; Bourgeois, H.; Senellart, Hélène; Trémolières, P.; Lizée, T.; Bennouna, Jaafar; Urban, T.; Khouri, Claude El; Charron, Alexandre; Septans, Anne-Lise; Balavoine, Magali; Landry, Sébastien; Solal‐Céligny, Philippe; Letellier, Christophe

doi:10.1093/jnci/djx029

Cited by 412 publications

(405 citation statements)

References 20 publications

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“…Actively retrieving patients' concerns increased survival and quality of life in a randomized trial on lung cancer, because clinicians often fail to reliably detect and address patients' symptoms and underestimate their severity . Inclusion of patient‐reported outcomes improved understanding of patient's experience, symptom management, and outcomes .…”

Section: Quality Measures For Sdmmentioning

confidence: 99%

Meaningful shared decision‐making: complex process demanding cognitive and emotional skills

Stalnikowicz

Brezis

2020

Evaluation Clinical Practice

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Background Shared decision‐making (SDM) takes place when clinicians help patient identify best course of action in the context of their preferences. Methods The aim of this paper is a narrative review of the literature with special focus on the humanistic dimensions of SDM. Results We show that SDM is largely underused in practice, because of many barriers such as time constraints and poor skills. Conclusions We suggest that listening and empathy are key challenges in communicating uncertainty, which require emotional intelligence and trust building skills. To promote implementation, we propose the development of tools, simulation‐based training and the design of improved measures for SDM quality. While essential for patients, we believe that SDM may restore meaning in healthcare.

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Section: Quality Measures For Sdmmentioning

confidence: 99%

Meaningful shared decision‐making: complex process demanding cognitive and emotional skills

Stalnikowicz

Brezis

2020

Evaluation Clinical Practice

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“…Research evidence for significant benefits for using patient‐reported outcome measures (PROMs) data in direct individual patient care is accumulating (Basch, ; Denis et al, ). Some clinicians appear to be interested in using PROMs in routine clinical practice as it captures patients’ experiences of treatment and disease in a systematic way, using valid and reliable measures.…”

Section: Introductionmentioning

confidence: 99%

What is needed by staff to implement PROMs into routine oncology care? A qualitative study with the multi‐disciplinary team

et al. 2019

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Introduction The aim of this study was to identify strategies to implement patient‐reported outcome measures (PROMs) into routine oncology outpatients' clinical care. Methods Qualitative focus groups were conducted with staff from multiple disciplines using a semistructured interview guide, with supporting data collected in field notes. Data were analysed using a Directed Content Analysis guided by an implementation science framework. The synthesis of the extracted data aimed to identify key requirements which correspond to intrinsic enablers and barriers for implementation. Results 52 staff members from the multi‐disciplinary team participated. Data extracted showed five key themes and three key requirements regarding implementation of PROMs. Staff would consider using PROMs if there was strong research evidence that demonstrates benefits for patient outcomes, if PROM data was relevant to current clinical practice, and if applied appropriately in the specific setting. These findings add pragmatic detail and new knowledge to the current evidence on pathways to PROM implementation. This data can be used to inform implementation of PROMs into health services. Conclusion Staff have valuable tacit knowledge of what works in practice that offers a unique opportunity to increase successful implementation of a PROM intervention for patient symptom reporting.

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“…Denis et al [6, 7] concentrated on advanced-stage lung cancer patients without evidence of disease progression after or during the initial treatment. Patients were randomly assigned in a multicenter phase III trial to compare a web-mediated follow-up algorithm (experimental arm), based on weekly self-scored patient symptoms with routine follow-up with CT scans scheduled every 3–6 months according to the disease stage (control arm).…”

Section: Ehealth In Therapy Managementmentioning

confidence: 99%

“…The median overall survival was 22.5 months in the intervention group versus 14.9 months in the control group, without censoring for crossover (hazard ratio, 0.59 [95% CI, 0.37–0.96]; p = 0.03). Denis et al [6, 7] used MoovCare from Sivan Innovation, which is a medical device [8]. …”

Section: Ehealth In Therapy Managementmentioning

confidence: 99%

Individualized eHealth Support for Oncological Therapy Management

Schinköthe¹

2019

Breast Care

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eHealth support for oncological therapy management has different faces. In addition to the direct support of therapy-supportive measures such as the promotion of physical activities, monitoring of the diet and observation of the quality of life through eHealth approaches are possible. Many solutions are now in transition between research and routine use. The most substantial evidence today is in the area of symptom monitoring. Independent studies have shown a significant survival benefit among other advantages as well. There is also a good overlap in eHealth and physical activity. More and more solutions are coming onto the market, which also has an impact for cancer patients. In the field of nutrition, there are only a few successful approaches both within and outside oncology. In contrast, the application of eHealth for the detection of disease-related malnutrition seems promising. Innovative approaches involving “artificial intelligence” or “Internet of Things” are slowly finding their place in both research and routine. For routine care, it will be necessary for doctors, nurses, and patients to know what a real medical eHealth application is and which are just lifestyle products without the needed quality for professional medical usage.

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

Abstract: A web-mediated follow-up algorithm based on self-reported symptoms improved OS due to early relapse detection and better performance status at relapse.

Cited by 412 publications

References 20 publications

Meaningful shared decision‐making: complex process demanding cognitive and emotional skills

Meaningful shared decision‐making: complex process demanding cognitive and emotional skills

What is needed by staff to implement PROMs into routine oncology care? A qualitative study with the multi‐disciplinary team

Individualized eHealth Support for Oncological Therapy Management

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