Objective: Niemann-Pick disease type C (NP-C) is a rare and devastating genetic disorder characterised by a range of progressive neurological symptoms, which imposes a burden on patients, family members, the healthcare system and society overall. The objective of this study was to assess direct and indirect costs associated with NP-C in the UK.
Methods: This was a non-interventional, retrospective, cross-sectional cohort study based on responses from patients and/or their carers/guardians recruited from a UK NP-C database. Resource use and direct medical, direct non-medical and indirect costs were evaluated using data collected via postal survey in October 2007, which included a Medical Resource Use questionnaire. Total annual costs per patient were estimated.
Results: In total, 18 Medical Resource Use questionnaires (29% response rate) were received and analysed. The mean total annual cost (SD) of NP-C per patient was 39,168 pounds (50,315 pounds); 46% were direct medical costs, to which home visits and residential care contributed 68% and 15%, respectively. Direct non-medical costs accounted for 24% of the average annual cost per patient, mainly due to specialist education, and indirect costs 30%. If only direct medical costs were considered, the mean annual cost (SD) per patient was reduced to 18,012 pounds (46,536 pounds).
Conclusions: The direct annual per-patient cost of NP-C illness in 2007 appears moderate when compared with other rare and severely disabling diseases. However, cost estimates may be conservative, since findings are limited by a small sample size, low survey response rate and potential recall bias. As demonstrated by this study, a substantial proportion of the cost is shifted from the healthcare system to the patient, family and non-medical providers. These findings highlight the need for treatments that can slow or stop disease progression in NP-C.
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http://dx.doi.org/10.3111/13696990903245863 | DOI Listing |
Appl Sci (Basel)
June 2024
Department of Biomechanics and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE 68182, USA.
Understanding metabolic cost through biomechanical data, including ground reaction forces (GRFs) and joint moments, is vital for health, sports, and rehabilitation. The long stabilization time (2-5 min) of indirect calorimetry poses challenges in prolonged tests. This study investigated using artificial neural networks (ANNs) to predict metabolic costs from the GRF and joint moment time series.
View Article and Find Full Text PDFAnn Ig
January 2025
Faculty of Medicine, University Vita-Salute San Raffaele, Milan, Italy.
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View Article and Find Full Text PDFJ Pharm Policy Pract
January 2025
College of Pharmacy, University of Health Sciences and Pharmacy, St Louis, MO, USA.
Background: The sustainability of community pharmacies in the United States depends, in large part, on policies enacted by the Centers for Medicare and Medicaid Services (CMS). In 2003, CMS policy allowed retrospective direct and indirect remuneration (DIR) fees to manage costs. From 2024, only prospective DIR fees are permitted.
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March 2025
Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Olof Palmes Allé 43-45, 8200, Aarhus N, Denmark.
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BMC Health Serv Res
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College of Pharmacy, Gyeongsang National University, 501 Jinju-Daero, Jinju, 52828, Republic of Korea.
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