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Pellegrini C, Caraceni AT, Massimino M, De Vivo A, Blandini MG, Simoncini B, Chisari M, Bedodi LIE, Sensi R, Brunelli C. Development and field testing of a neuro psychomotor multidimensional grid for the assessment of children with cns tumor. Pediatr Hematol Oncol 2022; 39:108-120. [PMID: 34289789 DOI: 10.1080/08880018.2021.1948648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Central Nervous System (CNS) tumors are the most common pediatric solid tumor and development neuro psychomotor (DNPM) therapy can contribute to the rehabilitation of these children. This paper describes the development of a DNPM multidimensional assessment grid for children with CNS tumor (DNPM-CNS grid).The development process included 4 phases: (P1) literature review and grid development (Version 1.0), (P2) two rounds consultations with experts (Version 1.1 and 2.0), (P3) field testing, (P4) final revision (Version 3.0).(P1) The DNPM-CNS grid was developed based on previous tools and manuals and on clinical experience with this patient population. (P2) A total of 52 questionnaires were filled in by experts about relevance of assessment areas, pertinence, comprehensibility and feasibility of the grid. Average scores ranged from 7.6 to 10. (P3) At case level, good inter-rater agreement scores (78%) and limited non-evaluability rates (18%) emerged. At item level, 27% of items reached high disagreement and 26% high not-evaluability rates. The qualitative assessment was judged clinically useful for planning the neuro-oncology rehabilitation treatment and a good feasibility of the DNPM-CNS grid emerged both for preschool and school-age children. (P4) The final version of the grid consists of 8 assessment areas with 133 items.The DNPM-CNS grid is a comprehensive tool that can guide the overall DNPM assessment in a limited amount of time. It can be used as a screening tool to customize more specific assessments. Further research is needed to better characterize grid psychometric properties.Supplemental data for this article is available online at https://doi.org/10.1080/08880018.2021.1948648 .
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Affiliation(s)
- Chiara Pellegrini
- Palliative care, Pain Therapy and Rehabilitation Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy.,Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Augusto T Caraceni
- Palliative care, Pain Therapy and Rehabilitation Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Maura Massimino
- Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Annarita De Vivo
- Palliative care, Pain Therapy and Rehabilitation Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Maria Grazia Blandini
- Palliative care, Pain Therapy and Rehabilitation Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Beatrice Simoncini
- Palliative care, Pain Therapy and Rehabilitation Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Marco Chisari
- Palliative care, Pain Therapy and Rehabilitation Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Livia I E Bedodi
- Palliative care, Pain Therapy and Rehabilitation Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Raffaella Sensi
- Palliative care, Pain Therapy and Rehabilitation Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Cinzia Brunelli
- Palliative care, Pain Therapy and Rehabilitation Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
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