Grigorios Kotronoulas1, Constantina Papadopoulou2, Mhairi F Simpson3, John McPhelim3, Lynn Mack3, Roma Maguire4. 1. Nursing and Health Care, School of Medicine, Dentistry and Nursing, MVLS, University of Glasgow, 57-61 Oakfield Avenue, Glasgow, G12 8LL, UK. 2. School of Health, Nursing and Midwifery, University of the West of Scotland, Paisley, Glasgow, UK. 3. NHS Lanarkshire, Scotland, UK. 4. Department of Computing and Information Sciences, University of Strathclyde Livingston Tower, 26 Richmond Street, Glasgow, G1 1XQ, UK. roma.maguire@strath.ac.uk.
Abstract
PURPOSE: Developing new supportive/palliative care services for lung cancer should encompass effective ways to promptly identify and address patients' healthcare needs. We examined whether an in-clinic, nurse-led consultation model, which was driven by use of a patient-reported outcomes (PRO) measure, was feasible and acceptable in the identification of unmet needs in patients with lung cancer. METHODS: A two-part, repeated-measures, mixed-methods study was conducted. Part 1 employed literature reviews and stakeholder focus group interviews to inform selection of a population-appropriate needs assessment PRO measure. In Part 2, lung cancer nurse specialists (CNS) conducted three consecutive monthly consultations with patients. Recruitment/retention data, PRO data, and exit interview data were analysed. RESULTS: The Sheffield Profile for Assessment and Referral to Care was the PRO measure selected based on Part 1 data. Twenty patients (response rate: 26%) participated in Part 2; 13 (65%) participated in all three consultations/assessments. The PRO measure helped patients to structure their thinking and prompted them to discuss previously underreported and/or sensitive issues, including such topics as family concerns, or death and dying. Lung CNS highlighted how PRO-measures-driven consultations differed from previous ones, in that their scope was broadened to allow nurses to offer personalised care. Small-to-moderate reductions in all domains of need were noted over time. CONCLUSIONS: Nurse-led PRO-measures-driven consultations are acceptable and conditionally feasible to holistically identify and effectively manage patient needs in modern lung cancer care. PRO data should be systematically collected and audited to assist in the provision of supportive care to people with lung cancer.
PURPOSE: Developing new supportive/palliative care services for lung cancer should encompass effective ways to promptly identify and address patients' healthcare needs. We examined whether an in-clinic, nurse-led consultation model, which was driven by use of a patient-reported outcomes (PRO) measure, was feasible and acceptable in the identification of unmet needs in patients with lung cancer. METHODS: A two-part, repeated-measures, mixed-methods study was conducted. Part 1 employed literature reviews and stakeholder focus group interviews to inform selection of a population-appropriate needs assessment PRO measure. In Part 2, lung cancer nurse specialists (CNS) conducted three consecutive monthly consultations with patients. Recruitment/retention data, PRO data, and exit interview data were analysed. RESULTS: The Sheffield Profile for Assessment and Referral to Care was the PRO measure selected based on Part 1 data. Twenty patients (response rate: 26%) participated in Part 2; 13 (65%) participated in all three consultations/assessments. The PRO measure helped patients to structure their thinking and prompted them to discuss previously underreported and/or sensitive issues, including such topics as family concerns, or death and dying. Lung CNS highlighted how PRO-measures-driven consultations differed from previous ones, in that their scope was broadened to allow nurses to offer personalised care. Small-to-moderate reductions in all domains of need were noted over time. CONCLUSIONS: Nurse-led PRO-measures-driven consultations are acceptable and conditionally feasible to holistically identify and effectively manage patient needs in modern lung cancer care. PRO data should be systematically collected and audited to assist in the provision of supportive care to people with lung cancer.
Authors: Jacques Ferlay; Isabelle Soerjomataram; Rajesh Dikshit; Sultan Eser; Colin Mathers; Marise Rebelo; Donald Maxwell Parkin; David Forman; Freddie Bray Journal: Int J Cancer Date: 2014-10-09 Impact factor: 7.396
Authors: Josep Sola; Meritxell Cortes; David Perruchoud; Bastien De Marco; Melvin D Lobo; Cyril Pellaton; Gregoire Wuerzner; Naomi D L Fisher; Jay Shah Journal: Front Med Technol Date: 2022-05-17
Authors: O Honma; C Watanabe; H Fukuchimoto; J Kashiwazaki; M Tateba; S Wagatsuma; K Ogata; K Maki; H Sonou; K Shiga; E Otsuka; M Hiruta; Y Hirasawa; M Hosonuma; M Murayama; Y Narikawa; H Toyoda; T Tsurui; A Kuramasu; M Kin; Y Kubota; T Sambe; A Horiike; H Ishida; K Shimada; M Umeda; T Tsunoda; K Yoshimura Journal: Front Pharmacol Date: 2022-02-09 Impact factor: 5.810