Patient-Reported Outcome Measures Used in Routine Care Predict for Survival at Disease Progression in Patients With Advanced Lung Cancer

Friis, Rasmus Blechingberg; Hjøllund, Niels Henrik; Pappot, Helle; Taarnhøj, Gry Assam; Vestergaard, Jesper Medom; Skuladottir, Halla

doi:10.1016/j.cllc.2020.09.014

Cited by 13 publications

(22 citation statements)

References 33 publications

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“…Quality of life and patient-reported outcomes have also been reported to predict survival in different types of cancer, although the mechanisms still need to be identified [34][35][36][37] the context of the culture and value systems in which they live, and also in relation to their goals, expectations, standards and concerns.…”

Section: Overviewmentioning

confidence: 99%

“…Hence, we must foster more patient‐centered research that incorporates all stakeholders' perspective [ 33 ]. Quality of life and patient‐reported outcomes have also been reported to predict survival in different types of cancer, although the mechanisms still need to be identified [ 34 , 35 , 36 , 37 ]. The World Health Organization defines quality of life as an individual's perception of their position in life in the context of the culture and value systems in which they live, and also in relation to their goals, expectations, standards, and concerns.…”

Section: Population‐based Measures Of Cancer Burdenmentioning

confidence: 99%

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Cancer outcomes research—a European challenge: measures of the cancer burden

et al. 2021

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Section: Overviewmentioning

confidence: 99%

Section: Population‐based Measures Of Cancer Burdenmentioning

confidence: 99%

Cancer outcomes research—a European challenge: measures of the cancer burden

et al. 2021

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“…K was 0.89 with excellent agreement. Thirteen studies were included, of which nine were quantitative [47][48][49][50][51][52][53][54] (one was a protocol used to evaluate new software [55]), two were qualitative [56,57] and two had a mixed-method design [58,59]. The search and decision-making process is described using the PRISMA flow diagram [43] in Fig.…”

Section: Study Selectionmentioning

confidence: 99%

“…The studies were published from 2011 to 2022 and carried out in several European and non-European countries; the most active country publishing on the topic was the USA [47-49, 54, 58]. In seven studies, the e-PROMS were administered through a touchscreen tablet [48,49,[51][52][53][54]56] and a pen/stylus [51]. Two studies reported the use of smartphones [55,57], and two used computers [58,59].…”

Section: Study Characteristicsmentioning

confidence: 99%

Electronic patient-reported outcomes (e-PROMs) in palliative cancer care: a scoping review

Consolo

Castellini

Cilluffo

et al. 2022

J Patient Rep Outcomes

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Background In palliative oncology settings, electronic patient-reported outcome (PRO) assessment can play an important role in supporting clinical activities for clinicians and patients. This scoping review aims to map the technological innovation of electronic patient-reported outcome measures (e-PROMs) in cancer palliative care and how PRO data collected through e-PROMs can influence the monitoring and management of symptoms and enable better communication between health professionals and patients. Methods A scoping review study was designed according to the Arksey and O'Malley framework. Medline, Embase, Web of Science, SCOPUS, PsycINFO and CINAHL and gray literature sources were consulted. The inclusion criteria were people over 18 years old receiving palliative and/or end-of-life care using e-PROMs. Results Thirteen primary studies were included: nine quantitative studies, two qualitative studies, and two mixed-method studies. The recently developed software that supports e-PROMs allows patients to receive feedback on their symptoms, helps clinicians prioritize care needs and monitors patients’ conditions as their symptoms change. Electronic PRO data prompt difficult, end-of-life communication between clinicians and patients to better organize care in the last phase of life. Conclusion This work shows that electronic PRO data assessment provides valuable tools for patients’ well-being and the management of symptoms; only one study reported conflicting results. However, with studies lacking on how clinicians can use these tools to improve communication with patients, more research is needed.

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“…4,5 In addition, HRQOL has been considered one of the most important prognostic factors for LC survivors. 6–11…”

Section: Introductionmentioning

confidence: 99%

The determinants of health-related quality of life among patients with newly diagnosed lung cancer in Taiwan: A cross-sectional study

Liao

Lin

et al. 2022

Journal of the Chinese Medical Association

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Background: Although considered one of the most important prognostic factors for lung cancer patients, the health-related quality of life (HRQOL) of the newly diagnosed lung cancer population remains scarcely focused on in the literature. Therefore, we aimed to identify the determinants of HRQOL among newly diagnosed lung cancer patients in Taiwan. Methods: Two hundred and fifty patients newly diagnosed with lung cancer were recruited from a medical center in northern Taiwan through convenience sampling. Four structured questionnaires, including the Taiwanese version of the MD Anderson symptom inventory (MDASI-T), the Taiwanese version of the Pittsburgh Sleep Quality Index (PSQI-T), the International Physical Activity Questionnaire-Short Form (IPAQ-SF), and the World Health Organization Quality of Life-BREF (WHOQOL-BREF), were used to collect data. Further, a multivariate stepwise linear regression was conducted to determine the independent risk factors for HRQOL. A p value of less than 0.05 was considered statistically significant. Results: The patients (mean age was 61.04 years, 51.2% male, 94.0% non–small-cell lung cancer, 56.4% stage IIIB–IV) had moderate levels of HRQOL among the physical, psychological, social, and environmental domains, as well as overall QOL. HRQOL was not correlated with married status, religion, and comorbidity. Gender, age, family income, smoking status, cancer stage, ECOG PS scores, PA, symptom burden (severity and interference), and PSQI global scores were correlated with HRQOL. Notably, symptom severity was the dominant negative predictor affecting the psychological and environmental domains of QOL (β = −4.313 and −3.500, respectively), accounting for 23.2% and 14.6% of the variance, respectively. On the other hand, symptom interference was the dominant negative predictor affecting the physical and social domains of QOL, as well as overall QOL (β = −3.592, −1.984, and −0.150, respectively), accounting for 44.4%, 15.0%, and 24.1% of the variance, respectively. Conclusion: Newly diagnosed lung cancer patients suffered symptom severity and interference that significantly impaired their HRQOL; particularly, symptom interference affected the physical domain of QOL. Healthcare professionals should pay more attention to cancer-related symptom severity, symptom interference, and HRQOL changes when caring for newly diagnosed lung cancer patients.

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Patient-Reported Outcome Measures Used in Routine Care Predict for Survival at Disease Progression in Patients With Advanced Lung Cancer

Cited by 13 publications

References 33 publications

Cancer outcomes research—a European challenge: measures of the cancer burden

Cancer outcomes research—a European challenge: measures of the cancer burden

Electronic patient-reported outcomes (e-PROMs) in palliative cancer care: a scoping review

The determinants of health-related quality of life among patients with newly diagnosed lung cancer in Taiwan: A cross-sectional study

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