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Henry E, Al-Janabi H, Brouwer W, Cullinan J, Engel L, Griffin S, Hulme C, Kingkaew P, Lloyd A, Payakachat N, Pennington B, Peña-Longobardo LM, Prosser LA, Shah K, Ungar WJ, Wilkinson T, Wittenberg E. Recommendations for Emerging Good Practice and Future Research in Relation to Family and Caregiver Health Spillovers in Health Economic Evaluations: A Report of the SHEER Task Force. PHARMACOECONOMICS 2024; 42:343-362. [PMID: 38041698 PMCID: PMC10861630 DOI: 10.1007/s40273-023-01321-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/28/2023] [Indexed: 12/03/2023]
Abstract
BACKGROUND Omission of family and caregiver health spillovers from the economic evaluation of healthcare interventions remains common practice. When reported, a high degree of methodological inconsistency in incorporating spillovers has been observed. AIM To promote emerging good practice, this paper from the Spillovers in Health Economic Evaluation and Research (SHEER) task force aims to provide guidance on the incorporation of family and caregiver health spillovers in cost-effectiveness and cost-utility analysis. SHEER also seeks to inform the basis for a spillover research agenda and future practice. METHODS A modified nominal group technique was used to reach consensus on a set of recommendations, representative of the views of participating subject-matter experts. Through the structured discussions of the group, as well as on the basis of evidence identified during a review process, recommendations were proposed and voted upon, with voting being held over two rounds. RESULTS This report describes 11 consensus recommendations for emerging good practice. SHEER advocates for the incorporation of health spillovers into analyses conducted from a healthcare/health payer perspective, and more generally inclusive perspectives such as a societal perspective. Where possible, spillovers related to displaced/foregone activities should be considered, as should the distributional consequences of inclusion. Time horizons ought to be sufficient to capture all relevant impacts. Currently, the collection of primary spillover data is preferred and clear justification should be provided when using secondary data. Transparency and consistency when reporting on the incorporation of health spillovers are crucial. In addition, given that the evidence base relating to health spillovers remains limited and requires much development, 12 avenues for future research are proposed. CONCLUSIONS Consideration of health spillovers in economic evaluations has been called for by researchers and policymakers alike. Accordingly, it is hoped that the consensus recommendations of SHEER will motivate more widespread incorporation of health spillovers into analyses. The developing nature of spillover research necessitates that this guidance be viewed as an initial roadmap, rather than a strict checklist. Moreover, there is a need for balance between consistency in approach, where valuable in a decision making context, and variation in application, to reflect differing decision maker perspectives and to support innovation.
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Affiliation(s)
- Edward Henry
- J.E. Cairnes School of Business & Economics, University of Galway, Galway, Ireland.
| | - Hareth Al-Janabi
- Health Economics Unit, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Werner Brouwer
- Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
| | - John Cullinan
- J.E. Cairnes School of Business & Economics, University of Galway, Galway, Ireland
| | - Lidia Engel
- Monash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Susan Griffin
- Centre for Health Economics, University of York, York, UK
| | - Claire Hulme
- Institute of Health Research, University of Exeter Medical School, Exeter, UK
| | - Pritaporn Kingkaew
- Health Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand
| | | | - Nalin Payakachat
- Division of Pharmaceutical Evaluation and Policy, University of Arkansas for Medical Sciences (UAMS), Little Rock, AR, USA
| | - Becky Pennington
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | | | - Lisa A Prosser
- Susan B. Meister Child Health Evaluation and Research Center, Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA
| | - Koonal Shah
- National Institute for Health and Care Excellence, London, UK
| | - Wendy J Ungar
- The Hospital for Sick Children Research Institute/University of Toronto, Toronto, ON, Canada
| | - Thomas Wilkinson
- Health Economics Unit, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Eve Wittenberg
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
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Yang Y, Liu L, Chen J, Gan Y, Su C, Zhang H, Long E, Yan F, Chen Y. Does caring for patients with advanced non-small cell lung cancer affect health-related quality of life of caregivers? A multicenter, cross-sectional study. BMC Public Health 2024; 24:224. [PMID: 38238722 PMCID: PMC10797883 DOI: 10.1186/s12889-024-17669-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 01/04/2024] [Indexed: 01/22/2024] Open
Abstract
PURPOSE Patients with advanced non-small cell lung cancer (NSCLC) mostly receive essential routine care and support from informal caregivers, who usually experience poorer health-related quality of life (HRQoL). The study aimed to evaluate the HRQoL and its predictors among informal caregivers of patients with advanced NSCLC in China. METHODS We interviewed the adult caregiver population of patients with advanced NSCLC (stage IIIB~IV) in nine tertiary hospitals from multiple provinces in China between November 2020 and June 2021. The EQ-5D-5L instrument measured the HRQoL of caregivers, as analyzed by employing descriptive analysis, univariate analysis, Tobit regression, and multivariate logistic regression, and investigated the important influencing factors further. RESULTS A valid sample of 553 caregivers was analyzed. The mean EQ-5D-5L utility score of caregivers was 0.92 (SD = 0.14). Caregivers reported the greatest problems in mental health, with 45.39% reporting slight, moderate, severe, or extreme anxiety/depression. The potential influencing factors of HRQoL in caregivers included patients' age and cancer histology, relationship with the patients, and daily caregiving hours. Compared to other caregivers, patients' spouses had the lowest HRQoL. In addition, over six hours of caregiving per day was associated with lower HRQoL in caregivers of patients with advanced NSCLC. CONCLUSIONS The HRQoL of caregivers for patients with advanced NSCLC was investigated for the first time in China. The informal caregivers experience decreased HRQoL, with anxiety /depression problems being reported the most. The findings of this study would provide extensive information on the HRQoL of advanced NSCLC patients' caregivers for future health-promoting self-care.
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Affiliation(s)
- Yi Yang
- School of Public Health, Fudan University, Shanghai, China
- National Health Commission Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Liu Liu
- School of Public Health, Fudan University, Shanghai, China
- National Health Commission Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Jia Chen
- Department of Medical Oncology, The Affiliated Tumor Hospital of Nantong University &Nantong Tumor Hospital, Nantong, China
| | - Yuying Gan
- Department of Respiratory Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Chunxia Su
- Department of Medical Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Haibo Zhang
- Department of Organization and Personnel, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Enwu Long
- Department of Pharmacy, Sichuan Academy of Medical Sciences/Sichuan Provincial People's Hospital, Sichuan, China
| | - Fei Yan
- Department of Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Yingyao Chen
- School of Public Health, Fudan University, Shanghai, China.
- National Health Commission Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China.
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