Validity of the Norwegian Version of the Needs and Provision Complexity Scale (NPCS) in Patients with Traumatic Brain Injury and Atraumatic Subarachnoid Hemorrhage.
Marit V ForslundIda Maria H BorgenTanja KaricIngerid KleffelgårdSolveig L HaugerMarianne LøvstadMarleen R van WalsemEmilie I HoweCathrine BrunborgNada AndelicCecilie RøePublished in: Journal of clinical medicine (2024)
There is a lack of validated measures in Scandinavian languages to track healthcare service needs and delivery for patients with neurological disabilities. The aim of the present study was to validate the Norwegian version of the clinician and patient Needs and Provision Complexity Scale (NPCS) Needs and Gets. Data on the NPCS from 60 adult patients with traumatic brain injury or atraumatic subarachnoid hemorrhage and symptoms lasting >5 months were assessed for inter-rater/test-retest reliability and agreement, as well as concurrent validity with the Neurological Impairment Scale (NIS), the Functional Independence Measure (FIM), and the Community Integration Questionnaire (CIQ). The clinician NPCS showed good-excellent inter-rater reliability, and the patient NPCS demonstrated good-excellent test-retest reliability. Absolute agreement was moderate-excellent across all clinician and patient items. Concurrent validity was significant, with large correlations between clinician NPCS-Needs and the NIS and FIM total scores, and small-medium correlations between the clinician and patient NPCS-Gets and the NIS and FIM total scores. There were no significant correlations between the NPCS and the CIQ. The study findings support the use of the Norwegian version of the NPCS to assess met and unmet healthcare and support needs for Norwegian-speaking adults with neurological disabilities.
Keyphrases
- subarachnoid hemorrhage
- healthcare
- traumatic brain injury
- cerebral ischemia
- brain injury
- case report
- psychometric properties
- mental health
- palliative care
- radiation therapy
- locally advanced
- electronic health record
- depressive symptoms
- tyrosine kinase
- health information
- artificial intelligence
- deep learning
- data analysis