1
|
Christie LJ, Fearn N, McCluskey A, Lovarini M, Rendell R, Pearce A. Cost-Effectiveness of Constraint-Induced Movement Therapy Implementation in Neurorehabilitation: The ACTIveARM Project. PHARMACOECONOMICS - OPEN 2022; 6:437-450. [PMID: 35316523 PMCID: PMC9043065 DOI: 10.1007/s41669-022-00323-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 01/17/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Constraint-induced movement therapy (CIMT) is a recommended intervention for improving arm recovery following stroke and traumatic brain injury; however, delivery in practice remains rare. PURPOSE The aim of this study was to investigate the costs and cost effectiveness of CIMT delivery, and the use of a CIMT implementation package designed to improve CIMT uptake and delivery by therapists in Sydney, Australia. METHODS This economic evaluation was conducted with a subset of CIMT programmes (n = 20) delivered by neurological rehabilitation teams at five varied hospitals within a mixed methods implementation study (ACTIveARM). The costs of delivering the CIMT implementation package and publicly funded CIMT were calculated using a bottom-up approach. A cost-effectiveness analysis was conducted, using decision analytic modelling. We compared the uptake and outcomes of people who received CIMT from health services that had received a CIMT implementation package, with those receiving standard upper limb therapy. An Australian health care system perspective was used in the model, over a 3-week time horizon (the average timeframe of a CIMT programme). All costs were calculated in Australian dollars (AUD). Inputs were derived from the ACTIveARM study and relevant literature. The Action Research Arm Test was used to measure arm outcomes. Sensitivity analyses assessed the impact of improving CIMT uptake, scale-up of the implementation package and resource adjustment, including a 'best-case' scenario analysis. RESULTS The total cost of delivering the implementation package to nine teams across five hospitals was $110,336.43 AUD over 18 months. The mean cost of delivering an individual CIMT programme was $1233.38 AUD per participant, and $936.03 AUD per participant for group-based programmes. The incremental cost-effectiveness ratio (ICER) of individual CIMT programmes was $8052 AUD per additional person achieving meaningful improvement in arm function, and $6045 AUD for group-based CIMT. The ICER was most sensitive to reductions in staffing costs. In the 'best-case' scenario, the ICER for both individual and group-based CIMT was $245 AUD per additional person gaining a meaningful change in function. CONCLUSION Therapists improved CIMT uptake and delivery with the support of an implementation package, however cost effectiveness was unclear. CLINICAL TRIAL REGISTRATION https://anzctr.org.au/Trial ID: ACTRN12617001147370.
Collapse
Affiliation(s)
- Lauren J Christie
- Brain Injury Rehabilitation Unit, Liverpool Hospital, Sydney, NSW, Australia.
- Brain Injury Rehabilitation Research Group, Ingham Institute for Applied Medical Research, Sydney, NSW, Australia.
- Discipline of Occupational Therapy, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
- Allied Health Research Unit, St Vincent's Health Network, Sydney, NSW, Australia.
- Nursing Research Institute, St Vincent's Health Network, Sydney, NSW, Australia.
| | - Nicola Fearn
- Brain Injury Rehabilitation Research Group, Ingham Institute for Applied Medical Research, Sydney, NSW, Australia
- Discipline of Occupational Therapy, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Allied Health Research Unit, St Vincent's Health Network, Sydney, NSW, Australia
| | - Annie McCluskey
- Discipline of Occupational Therapy, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- The StrokeEd Collaboration, Sydney, NSW, Australia
| | - Meryl Lovarini
- Discipline of Occupational Therapy, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Reem Rendell
- Brain Injury Rehabilitation Unit, Liverpool Hospital, Sydney, NSW, Australia
- Brain Injury Rehabilitation Research Group, Ingham Institute for Applied Medical Research, Sydney, NSW, Australia
- Discipline of Physiotherapy, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Alison Pearce
- Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| |
Collapse
|
2
|
Mori T, Yoshioka K, Mori W, Tanno Y. Collateral status evaluation coupled with time window by dynamic axial computed tomographic angiography with a focus on the middle cerebral artery for mechanical thrombectomy. BMC Neurol 2021; 21:230. [PMID: 34157991 PMCID: PMC8220685 DOI: 10.1186/s12883-021-02284-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 06/10/2021] [Indexed: 11/10/2022] Open
Abstract
Background Dynamic axial computed tomographic angiography (dynax–CTA), covering a thin width, with a focus on the bilateral middle cerebral artery (MCA), can quickly visualize the internal carotid artery (ICA) or MCA occlusion. We aimed to investigate whether dynax–CTA appropriately evaluated the collateral status coupled with the upper limit of the onset-to-reperfusion (OtR) time to achieve a major neurological improvement (MNI) at a 24-h follow-up examination after mechanical thrombectomy (MT). Methods We included acute ischemic stroke patients admitted from 2018 to 2020 who underwent dynax–CTA on admission and emergent MT for ICA or MCA occlusion. We performed dynax–CTA using an 80-row CT scanner and acquired 25 volume scans, consisting of 40 images of 1-mm thickness and 4-cm width. We classified the collateral status as good, intermediate, and poor based on MCA branch opacification. We evaluated the collateral status and the upper OtR time limit to achieve MNI. Results Forty-eight patients met our inclusion criteria. Dynax–CTA findings demonstrated MCA and ICA occlusion in 30 and 18 patients, respectively. The collateral status was good, intermediate, and poor in four, 25, and 19 patients, respectively. The upper limits of the OtR time for MNI were 3.63, 8.08, and 8.67 h in patients with poor, intermediate, and intermediate or good collateral status, respectively. Conclusions Dynax–CTA appropriately evaluated the collateral status coupled with the upper limit of the OtR time before performing MT. Supplementary Information The online version contains supplementary material available at 10.1186/s12883-021-02284-8.
Collapse
Affiliation(s)
- Takahisa Mori
- Department of Stroke Treatment, Shonan Kamakura General Hospital, Okamoto 1370-1, Kamakura City, Kanagawa, 247-8533, Japan.
| | - Kazuhiro Yoshioka
- Department of Stroke Treatment, Shonan Kamakura General Hospital, Okamoto 1370-1, Kamakura City, Kanagawa, 247-8533, Japan
| | - Wataru Mori
- Department of Stroke Treatment, Shonan Kamakura General Hospital, Okamoto 1370-1, Kamakura City, Kanagawa, 247-8533, Japan
| | - Yuhei Tanno
- Department of Stroke Treatment, Shonan Kamakura General Hospital, Okamoto 1370-1, Kamakura City, Kanagawa, 247-8533, Japan
| |
Collapse
|
3
|
Demeestere J, Wouters A, Christensen S, Lemmens R, Lansberg MG. Review of Perfusion Imaging in Acute Ischemic Stroke: From Time to Tissue. Stroke 2020; 51:1017-1024. [PMID: 32008460 DOI: 10.1161/strokeaha.119.028337] [Citation(s) in RCA: 116] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Jelle Demeestere
- From the Department of Neurosciences, Experimental Neurology, KU Leuven - University of Leuven, Belgium (J.D., A.W., R.L.).,VIB, Center for Brain & Disease Research, Laboratory of Neurobiology, Leuven, Belgium (J.D., A.W., R.L.).,Department of Neurology, University Hospitals Leuven, Belgium (J.D., A.W., R.L.)
| | - Anke Wouters
- From the Department of Neurosciences, Experimental Neurology, KU Leuven - University of Leuven, Belgium (J.D., A.W., R.L.).,VIB, Center for Brain & Disease Research, Laboratory of Neurobiology, Leuven, Belgium (J.D., A.W., R.L.).,Department of Neurology, University Hospitals Leuven, Belgium (J.D., A.W., R.L.)
| | - Soren Christensen
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Palo Alto, CA (S.C., M.G.L.)
| | - Robin Lemmens
- From the Department of Neurosciences, Experimental Neurology, KU Leuven - University of Leuven, Belgium (J.D., A.W., R.L.).,VIB, Center for Brain & Disease Research, Laboratory of Neurobiology, Leuven, Belgium (J.D., A.W., R.L.).,Department of Neurology, University Hospitals Leuven, Belgium (J.D., A.W., R.L.)
| | - Maarten G Lansberg
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Palo Alto, CA (S.C., M.G.L.)
| |
Collapse
|