1
|
Wills O, Wright B, Greenwood LM, Solowij N, Schira M, Maller JJ, Gupta A, Magnussen J, Probst Y. Lifestyle management and brain MRI metrics in female Australian adults living with multiple sclerosis: a feasibility and acceptability study. Pilot Feasibility Stud 2024; 10:71. [PMID: 38698454 PMCID: PMC11064336 DOI: 10.1186/s40814-024-01495-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 04/14/2024] [Indexed: 05/05/2024] Open
Abstract
BACKGROUND Limited studies of multiple sclerosis (MS) exist whereby magnetic resonance imaging (MRI) of the brain with consistent imaging protocols occurs at the same time points as collection of healthy lifestyle measures. The aim of this study was to test the feasibility, acceptability and preliminary efficacy of acquiring MRI data as an objective, diagnostic and prognostic marker of MS, at the same time point as brain-healthy lifestyle measures including diet. METHODS Participants living with relapsing remitting MS partook in one structural MRI scanning session of the brain, completed two online 24-hour dietary recalls and demographic and self-reported lifestyle questionnaires (e.g. self-reported disability, comorbidities, physical activity, smoking status, body mass index (BMI), stress). Measures of central tenancy and level of dispersion were calculated for feasibility and acceptability of the research protocols. Lesion count was determined by one radiologist and volumetric analyses by a data analysis pipeline based on FreeSurfer software suite. Correlations between white matter lesion count, whole brain volume analyses and lifestyle measures were assessed using Spearman's rank-order correlation coefficient. RESULTS Thirteen female participants were included in the study: eligibility rate 90.6% (29/32), recruitment rate 46.9% (15/32) and compliance rate 87% (13/15). The mean time to complete all required tasks, including MRI acquisition was 115.86 minutes ( ± 23.04), over 4 days. Conversion to usual dietary intake was limited by the small sample. There was one strong, negative correlation between BMI and brain volume (rs = -0.643, p = 0.018) and one strong, positive correlation between physical activity and brain volume (rs = 0.670, p = 0.012) that were both statistically significant. CONCLUSIONS Acquiring MRI brain scans at the same time point as lifestyle profiles in adults with MS is both feasible and accepted among adult females living with MS. Quantification of volumetric MRI data support further investigations using semi-automated pipelines among people living with MS, with pre-processing steps identified to increase automated feasibility. This protocol may be used to determine relationships between elements of a brain-healthy lifestyle, including dietary intake, and measures of disease burden and brain health, as assessed by T1-weighted and T2-weighted lesion count and whole brain volume, in an adequately powered sample. TRIAL REGISTRATION The study protocol was retrospectively registered in the Australia New Zealand Clinical Trials Registry (ACTRN12624000296538).
Collapse
Affiliation(s)
- Olivia Wills
- School of Medical, Indigenous and Health Sciences, University of Wollongong, Wollongong, NSW, 2522, Australia.
| | - Brooklyn Wright
- School of Psychology, University of Wollongong, Wollongong, NSW, 2522, Australia
| | - Lisa-Marie Greenwood
- Illawara Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, 2522, Australia
- School of Medicine and Psychology, Australian National University, Canberra, ACT, Australia
| | - Nadia Solowij
- School of Psychology, University of Wollongong, Wollongong, NSW, 2522, Australia
- Illawara Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, 2522, Australia
| | - Mark Schira
- School of Psychology, University of Wollongong, Wollongong, NSW, 2522, Australia
| | - Jerome J Maller
- General Electric Healthcare, Richmond, Melbourne, Australia
- Monash Alfred Psychiatry Research Centre, Melbourne, VIC, Australia
| | - Alok Gupta
- Illawara Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, 2522, Australia
- Wollongong Diagnostic Imaging Group, Wollongong, NSW, Australia
| | - John Magnussen
- Faculty of Medicine, Health and Human Sciences, Macquarie University, Macquarie Park, NSW, 2109, Australia
| | - Yasmine Probst
- School of Medical, Indigenous and Health Sciences, University of Wollongong, Wollongong, NSW, 2522, Australia
- Illawara Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, 2522, Australia
| |
Collapse
|
2
|
O'Dwyer JL, Bryant LD, Hulme C, Kind P, Meads DM. Adapting the EQ-5D-3L for adults with mild to moderate learning disabilities. Health Qual Life Outcomes 2024; 22:37. [PMID: 38685039 PMCID: PMC11059748 DOI: 10.1186/s12955-024-02254-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 04/22/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Approximately 1.5 million adults in the UK have a learning disability. The difference between age at death for this group and the general population is 26 years for females and 22 years for males. The NHS Long Term Plan (January 2019) recognises learning disabilities as a clinical priority area. People with a learning disability are often excluded from research by design or lack of reasonable adjustments, and self-reported health status/health-related quality of life questionnaires such as the EQ-5D are often not appropriate for this population. Here, we systematically examine the EQ-5D-3L (its wording, content, and format) using qualitative methods to inform the adaption of the measure for use with adults with mild to moderate learning disabilities. METHODS Think-aloud interviews with carers/advocates of learning-disabled adults were undertaken to explore the difficulties with completing the EQ-5D-3L. Alternative wording, language, structure, and images were developed using focus groups, stakeholder reference groups, and an expert panel. Data analysis followed a framework method. RESULTS The dimensions and levels within the EQ-5D-3L were deemed appropriate for adults with mild to moderate learning disabilities. Consensus on wording, structure, and images was reached through an iterative process, and an adapted version of the EQ-5D-3L was finalised. CONCLUSION The EQ-5D-3L adapted for adults with mild to moderate intellectual/learning disabilities can facilitate measurement of self-reported health status. Research is underway to assess the potential use of the adaptation for economic evaluation.
Collapse
Affiliation(s)
- John L O'Dwyer
- Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Worsley Building, Leeds, LS2 9NL, UK.
| | - Louise D Bryant
- Division of Psychological & Social Medicine, Leeds Institute of Health Sciences, School of Medicine, University of Leeds, Worsley Building, Leeds, LS2 9JT, UK
| | - Claire Hulme
- Department of Health & Community Sciences, University of Exeter Medical School, South Cloisters, St Luke's Campus, Exeter, EX1 2LU, UK
| | - Paul Kind
- Department of Applied Health Research, University College London, Gower Street, London, WC1E 6BT, UK
| | - David M Meads
- Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Worsley Building, Leeds, LS2 9NL, UK
| |
Collapse
|
3
|
Dolar V, Chatterton ML, Le LKD, Mihalopoulos C, Thomas N, Engel L. Health Service Utilisation of People Living with Psychosis: Validity of Self-report Compared with Administrative Data in a Randomised Controlled Trial. APPLIED HEALTH ECONOMICS AND HEALTH POLICY 2024; 22:255-264. [PMID: 37985649 DOI: 10.1007/s40258-023-00849-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/23/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND Self-reported service use informs resource utilisation and cost estimates, though its validity for use within economic evaluations is uncertain. OBJECTIVE The aim of this study is to assess agreement in health resource-use measurement between self-reported and administrative data across different resource categories, over time and between different recall periods by subgroups among Australians living with psychosis. METHODS Data were obtained for 104 participants with psychotic disorders from a randomised controlled trial. Agreement between self-reported resource-use questionnaires and administrative data on community-based services and medication use was assessed through estimating differences of group mean number of visits and medications used and intraclass correlation coefficients (ICC) over multiple time periods. RESULTS ICC showed moderate agreement across most time periods for general practitioners, psychiatrists and mental health medications. No clear trends were discernible over time, between varying lengths of recall periods nor across participant subgroups. CONCLUSION Despite poor agreement, when measuring visits to psychologists and other health professionals, small overall differences in group mean number of visits indicate that self-reported data may still be valid for use in economic evaluations in people living with psychosis.
Collapse
Affiliation(s)
- Vergil Dolar
- Deakin Health Economics, School of Health and Social Development, Deakin University, Geelong, VIC, Australia
| | - Mary Lou Chatterton
- Deakin Health Economics, School of Health and Social Development, Deakin University, Geelong, VIC, Australia
- Monash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Long Khanh-Dao Le
- Monash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Cathrine Mihalopoulos
- Deakin Health Economics, School of Health and Social Development, Deakin University, Geelong, VIC, Australia
- Monash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Neil Thomas
- Department of Psychological Sciences, School of Health Sciences, Centre for Mental Health, Swinburne University, Melbourne, Australia
| | - Lidia Engel
- Deakin Health Economics, School of Health and Social Development, Deakin University, Geelong, VIC, Australia.
| |
Collapse
|
4
|
Russell AM, O'Dwyer JL, Bryant LD, House AO, Birtwistle JC, Meer S, Wright-Hughes A, Walwyn REA, Graham E, Farrin AJ, Hulme CT. The feasibility of using the EQ-5D-3L with adults with mild to moderate learning disabilities within a randomized control trial: a qualitative evaluation. Pilot Feasibility Stud 2018; 4:164. [PMID: 30397508 PMCID: PMC6205783 DOI: 10.1186/s40814-018-0357-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Accepted: 10/15/2018] [Indexed: 02/06/2023] Open
Abstract
Background In trials incorporating a health economic evaluation component, reliable validated measures for health-related quality of life (HRQOL) are essential. The EQ-5D is the preferred measure for cost-effectiveness analysis in UK trials. This paper presents a qualitative evaluation of the use of the EQ-5D-3L in a feasibility randomised control trial with participants who had a mild- to moderate learning disability and type 2 diabetes. Methods Researchers administered the EQ-5D-3L to 82 participants at baseline and 77 at follow-up. After each interview, researchers rated the ease of administering the EQ-5D-3L and made free-text entries on the administration experience. For a subset of 16 interviews, researchers audio-recorded more detailed journal entries. Ease of administration data were analysed using descriptive statistics. Free-text responses were subject to a basic content analysis. The EQ-5D-3L-related journal entries were transcribed, coded and analysed thematically. Results Over half of participants were perceived to experience difficulty answering some or all of the items in the EQ-5D-3L (60% at baseline; 54% at follow-up). Analysis of the free-text entries and audio journals identified four themes that question the use of the EQ-5D-3L in this population. The first theme is related to observations of participant intellectual ability and difficulties, for example, in understanding the wording of the measure. Theme 2 is related to the normalisation of adjustments for impairments, which rendered the measure less sensitive in this population. Theme 3 is related to researcher adaptation and non-standard administration. An overarching fourth theme was identified in that people with learning disabilities were viewed as ‘unreliable witnesses’ by both researchers and supporters. Conclusions It is recommended that the EQ-5D-3L should not be used in isolation to assess health-related quality of life outcomes in trials research in adults with a learning disability. Further research is required to develop and evaluate a version of the EQ-5D appropriate for this population in trials research. It is unrealistic to expect that adjustments to the wording alone will deliver an appropriate measure: supporter or researcher involvement will almost always be required. This requirement needs to be factored into the development and administration guidelines of any new version of the EQ-5D for adults with a learning disability. Trial registration Current Controlled Trials ISRCTN41897033 [registered 21 January 2013]. Electronic supplementary material The online version of this article (10.1186/s40814-018-0357-6) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- A M Russell
- 1Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - J L O'Dwyer
- 1Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - L D Bryant
- 1Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - A O House
- 1Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - J C Birtwistle
- 1Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - S Meer
- 1Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - A Wright-Hughes
- 1Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - R E A Walwyn
- 1Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - E Graham
- 1Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - A J Farrin
- 2Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | - C T Hulme
- 1Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| |
Collapse
|