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Voigt I, Fischer S, Proschmann U, Konofalska U, Richter P, Schlieter H, Berger T, Meuth SG, Hartung HP, Akgün K, Ziemssen T. Consensus quality indicators for monitoring multiple sclerosis. THE LANCET REGIONAL HEALTH. EUROPE 2024; 40:100891. [PMID: 38585674 PMCID: PMC10998202 DOI: 10.1016/j.lanepe.2024.100891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 03/13/2024] [Accepted: 03/13/2024] [Indexed: 04/09/2024]
Abstract
Multiple sclerosis (MS) as a chronic, degenerative autoimmune disease of the central nervous system has a longitudinal and heterogeneous course with increasing treatment options and risk profiles requiring constant monitoring of a growing number of parameters. Despite treatment guidelines, there is a lack of strategic and individualised monitoring pathways, including respective quality indicators (QIs). To address this, we systematically developed transparent, traceable, and measurable QIs for MS monitoring. Through literature review, expert discussions, and consensus-building, existing QIs were identified and refined. In a two-stage online Delphi process involving MS specialists (on average 53 years old and with 25 years of professional experience), the QIs were evaluated for content, clarity, and intelligibility, resulting in a set of 24 QIs and checklists to assess the quality of care. The final QIs provide a structured approach to document, monitor, and enhance the quality of care for people with MS across their treatment journey.
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Affiliation(s)
- Isabel Voigt
- Center of Clinical Neuroscience, Department of Neurology, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstraße 74, Dresden 01307, Germany
| | - Stefanie Fischer
- Center of Clinical Neuroscience, Department of Neurology, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstraße 74, Dresden 01307, Germany
| | - Undine Proschmann
- Center of Clinical Neuroscience, Department of Neurology, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstraße 74, Dresden 01307, Germany
| | - Urszula Konofalska
- Center of Clinical Neuroscience, Department of Neurology, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstraße 74, Dresden 01307, Germany
| | - Peggy Richter
- Research Group Digital Health, Faculty of Business and Economics, TUD Dresden University of Technology, Dresden 01062, Germany
| | - Hannes Schlieter
- Research Group Digital Health, Faculty of Business and Economics, TUD Dresden University of Technology, Dresden 01062, Germany
| | - Thomas Berger
- Department of Neurology, Medical University of Vienna, Währinger Gürtel 18-20, Vienna 1090, Austria
- Comprehensive Center for Clinical Neurosciences & Mental Health, Medical University of Vienna, Währinger Gürtel 18-20, Vienna 1090, Austria
| | - Sven G. Meuth
- Department of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstr. 5, Düsseldorf 40225, Germany
| | - Hans-Peter Hartung
- Department of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstr. 5, Düsseldorf 40225, Germany
| | - Katja Akgün
- Center of Clinical Neuroscience, Department of Neurology, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstraße 74, Dresden 01307, Germany
| | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Department of Neurology, Medical Faculty and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstraße 74, Dresden 01307, Germany
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Masri HE, McGuire TM, Dalais C, van Driel M, Benham H, Hollingworth SA. Patient-based benefit-risk assessment of medicines: development, refinement, and validation of a content search strategy to retrieve relevant studies. J Med Libr Assoc 2022; 110:185-204. [PMID: 35440905 PMCID: PMC9014953 DOI: 10.5195/jmla.2022.1306] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
Introduction: Poor indexing and inconsistent use of terms and keywords may prevent efficient retrieval of studies on the patient-based benefit-risk assessment (BRA) of medicines. We aimed to develop and validate an objectively derived content search strategy containing generic search terms that can be adapted for any search for evidence on patient-based BRA of medicines for any therapeutic area. Methods: We used a robust multistep process to develop and validate the content search strategy: (1) we developed a bank of search terms derived from screening studies on patient-based BRA of medicines in various therapeutic areas, (2) we refined the proposed content search strategy through an iterative process of testing sensitivity and precision of search terms, and (3) we validated the final search strategy in PubMed by firstly using multiple sclerosis as a case condition and secondly computing its relative performance versus a published systematic review on patient-based BRA of medicines in rheumatoid arthritis. Results: We conceptualized a final search strategy to retrieve studies on patient-based BRA containing generic search terms grouped into two domains, namely the patient and the BRA of medicines (sensitivity 84%, specificity 99.4%, precision 20.7%). The relative performance of the content search strategy was 85.7% compared with a search from a published systematic review of patient preferences in the treatment of rheumatoid arthritis. We also developed a more extended filter, with a relative performance of 93.3% when compared with a search from a published systematic review of patient preferences in lung cancer.
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Affiliation(s)
- Hiba El Masri
- , PhD Candidate, School of Pharmacy, The University of Queensland, Woolloongabba, QLD, Australia
| | - Treasure M McGuire
- , Faculty of Health Sciences and Medicine, Bond University, Robina, QLD, Australia, Mater Pharmacy, Mater Health, Raymond Tce, South Brisbane, QLD, Australia
| | - Christine Dalais
- , University Library, The University of Queensland, Brisbane, QLD, Australia
| | - Mieke van Driel
- , Primary Care Clinical Unit, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Helen Benham
- , Department of Rheumatology, Princess Alexandra Hospital, Brisbane, QLD, Australia
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Beckmann H, Heesen C, Augustin M, Blome C. The 27-Item Multiple Sclerosis Quality of Life Questionnaire: A New Brief Measure Including Treatment Burden and Work Life. Int J MS Care 2021; 24:147-153. [DOI: 10.7224/1537-2073.2020-088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Abstract
Background: Treatment- and work-related aspects have been neglected in health-related quality of life (HRQOL) measures in multiple sclerosis (MS). We aimed to develop a brief instrument covering all important impairment-, activity-, participation-, and treatment-related aspects for use in research and practice.
Methods: The 27-item Multiple Sclerosis Quality of Life Questionnaire (MS-QLQ27) was developed using open item collection, a multidisciplinary expert panel, and cognitive pretesting. It was evaluated for reliability, construct validity, and responsiveness with 100 patients presenting with relapse (84 at follow-up ~14 days later). Construct validity was analyzed by correlating the MS-QLQ27 with the disease-specific Hamburg Quality of Life Questionnaire in MS (HAQUAMS) and generic HRQOL instuments. The Expanded Disability Status Scale (EDSS) was used to analyze known-groups validity. Responsiveness was determined as the correlation of changes in MS-QLQ27 scores with changes in validation criteria.
Results: Internal consistency was high (Cronbach α = 0.94 at baseline and 0.93 at follow-up). Convergent validity was supported by direction and magnitude of associations with disease-specific and generic instruments. Correlations with change in convergent criteria were strong, indicating responsiveness. The HAQUAMS showed the strongest associations with the MSQLQ27. The MS-QLQ27 showed the highest effect size compared with other patient-reported outcomes and the EDSS. It successfully distinguished between levels of disease severity.
Conclusions: These results indicate that the MS-QLQ27 is a reliable, valid, and highly responsive instrument for assessing HRQOL during relapse evolution in MS. Its advantages are that it is brief yet comprehensive, covering work- and treatment-related aspects not addressed in previous measures.
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Affiliation(s)
- Helen Beckmann
- From the Institute for Health Services Research in Dermatology and Nursing (IVDP) (HB, MA, CB) and Institute of Neuroimmunology and Multiple Sclerosis (INIMS) (CH), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Christoph Heesen
- From the Institute for Health Services Research in Dermatology and Nursing (IVDP) (HB, MA, CB) and Institute of Neuroimmunology and Multiple Sclerosis (INIMS) (CH), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Matthias Augustin
- From the Institute for Health Services Research in Dermatology and Nursing (IVDP) (HB, MA, CB) and Institute of Neuroimmunology and Multiple Sclerosis (INIMS) (CH), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Christine Blome
- From the Institute for Health Services Research in Dermatology and Nursing (IVDP) (HB, MA, CB) and Institute of Neuroimmunology and Multiple Sclerosis (INIMS) (CH), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
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Wicks CR, Sloan R, DiMauro S, Thompson EL, Billington S, Webb M, Pepper G. Patients' experiences of self-identification, seeking support, and anticipation of potential relapse in multiple sclerosis. Mult Scler Relat Disord 2021; 56:103259. [PMID: 34628265 DOI: 10.1016/j.msard.2021.103259] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 08/17/2021] [Accepted: 09/06/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Multiple sclerosis (MS) relapses are associated with increased disability, reduced quality of life and negative psychosocial impacts. However, they often go unrecognised; people with MS (MSers) may face barriers to self-identification of relapses or seeking support for them. The charity Shift.ms sought to better understand 1) MSers' challenges in self-identifying potential relapses, 2) where MSers' seek support for potential relapses, and 3) the impact of the anticipation of relapses on MSers' wellbeing and daily living. METHODS Shift.ms developed a patient perspective 8-question pilot survey (included likert-style, multiple-choice, and optional free-text responses) and shared it with Shift.ms' international online community (n = 20,052). Descriptive quantitative analysis, and content analysis and thematic analysis of qualitative free-text responses were used. RESULTS 1,737 MSers responded. Just under one third (29.9%) of MSers reported that it takes them 24 h or less to self-identify a potential relapse, while more than half (54.5%) reported that identification occurs within 48 h; 55% MSers felt that the "at least 24 h" clinical criterion of relapse classification was appropriate. Challenges to relapse self-identification included confounding background symptoms or infection, variability of relapse symptoms, and individualistic nature of MS. Fatigue was reported to be the most common symptom of relapse (75%), however fatigue was also the symptom most commonly mistaken for relapse (40%). Barriers to relapse self-identification were a shorter duration since MS diagnosis and a perceived lack of consensus around relapse classification. Respondents reported they most often seek relapse support/advice from healthcare professionals (HCPs) (37.1%), family/friends (32.1%), or not at all (16.9%). Rather than temporal criteria (i.e. the 24 h criterion), participants felt that severity of symptoms could play a more critical role in whether to seek support for a potential relapse. Barriers to seeking support/advice included variability in HCP advice and feelings of invalidation. Anticipation of relapses negatively impacted MSers wellbeing; led to reduced participation in activities, and the development of adjustment/coping strategies. Relapse triggers included stress, reduced self-care, infection/illness; 78.5% reported stress or anxiety had triggered relapse. CONCLUSIONS These findings highlight difficulties MSers face in self-identifying relapses, barriers to accessing support, and impact of anticipation of relapses. They also highlight opportunities for improved MSer and HCP communication, dialogue and two-way education to help optimise patient access to relapse support and intervention.
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Affiliation(s)
| | - Rob Sloan
- Shift.ms, Platform, New Station Street, Leeds, LS1 4JB, UK
| | - Sophie DiMauro
- Shift.ms, Platform, New Station Street, Leeds, LS1 4JB, UK
| | | | - Sam Billington
- Shift.ms, Platform, New Station Street, Leeds, LS1 4JB, UK
| | - Mark Webb
- Shift.ms, Platform, New Station Street, Leeds, LS1 4JB, UK
| | - George Pepper
- Shift.ms, Platform, New Station Street, Leeds, LS1 4JB, UK.
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