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Saeed YA, Mitsakakis N, Feld JJ, Krahn MD, Kwong JC, Wong WWL. Health Utilities in People with Hepatitis C Virus Infection: A Study Using Real-World Population-Level Data. Med Decis Making 2025:272989X251319342. [PMID: 39985398 DOI: 10.1177/0272989x251319342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2025]
Abstract
BACKGROUND Hepatitis C virus (HCV) infection is associated with reduced quality of life and health utility. It is unclear whether this is primarily due to HCV infection itself or commonly co-occurring patient characteristics such as low income and mental health issues. This study aims to estimate and separate the effects of HCV infection on health utility from the effects of clinical and sociodemographic factors using real-world population-level data. METHODS We conducted a cross-sectional retrospective cohort study to estimate health utilities in people with and without HCV infection in Ontario, Canada, from 2000 to 2014 using linked survey data from the Canadian Community Health Survey and health administrative data. Utilities were derived from the Health Utilities Index Mark 3 instrument. We used propensity score matching and multivariable linear regression to examine the impact of HCV infection on utility scores while adjusting for clinical and sociodemographic factors. RESULTS There were 7,102 individuals with hepatitis C status and health utility data available (506 HCV-positive, 6,596 HCV-negative). Factors associated with marginalization were more prevalent in the HCV-positive cohort (e.g., household income <$20,000: 36% versus 15%). Propensity score matching resulted in 454 matched pairs of HCV-positive and HCV-negative individuals. HCV-positive individuals had substantially lower unadjusted utilities than HCV-negative individuals did (mean ± standard error: 0.662 ± 0.016 versus 0.734 ± 0.015). The regression model showed that HCV positivity (coefficient: -0.066), age, comorbidity, mental health history, and household income had large impacts on health utility. CONCLUSIONS HCV infection is associated with low health utility even after controlling for clinical and sociodemographic variables. Individuals with HCV infection may benefit from additional social services and supports alongside antiviral therapy to improve their quality of life. HIGHLIGHTS Hepatitis C virus (HCV) infection is associated with reduced quality of life and health utility. There is debate in the literature on whether this is primarily due to HCV infection itself or commonly co-occurring patient characteristics such as low income and mental health issues.We showed that individuals with HCV infection have substantially lower health utilities than uninfected individuals do even after controlling for clinical and sociodemographic variables, based on a large, real-world population-level dataset. Socioeconomically marginalized individuals with HCV infection had particularly low health utilities.In addition to improving access to HCV testing and treatment, it may be beneficial to provide social services such as mental health and financial supports to improve the quality of life and health utility of people living with HCV.
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Affiliation(s)
- Yasmin A Saeed
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada
- Toronto Health Economics and Technology Assessment (THETA) Collaborative, University Health Network, Toronto, ON, Canada
- ICES, Toronto, ON, Canada
- School of Pharmacy, University of Waterloo, Kitchener, Ontario, Canada
| | - Nicholas Mitsakakis
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada
| | - Jordan J Feld
- Toronto Centre for Liver Disease, University Health Network, Toronto, ON, Canada
| | - Murray D Krahn
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada
- Toronto Health Economics and Technology Assessment (THETA) Collaborative, University Health Network, Toronto, ON, Canada
- ICES, Toronto, ON, Canada
| | - Jeffrey C Kwong
- ICES, Toronto, ON, Canada
- Public Health Ontario, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Centre for Vaccine Preventable Diseases, University of Toronto, Toronto, ON, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
- University Health Network, Toronto, ON, Canada
| | - William W L Wong
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada
- Toronto Health Economics and Technology Assessment (THETA) Collaborative, University Health Network, Toronto, ON, Canada
- ICES, Toronto, ON, Canada
- School of Pharmacy, University of Waterloo, Kitchener, Ontario, Canada
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Saeed YA, Mason K, Mitsakakis N, Feld JJ, Bremner KE, Phoon A, Fried A, Wong JF, Powis J, Krahn MD, Wong WWL. Disparities in health utilities among hepatitis C patients receiving care in different settings. CANADIAN LIVER JOURNAL 2023; 6:24-38. [PMID: 36908577 PMCID: PMC9997513 DOI: 10.3138/canlivj-2022-0009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 07/03/2022] [Indexed: 11/20/2022]
Abstract
BACKGROUND: Although chronic hepatitis C (CHC) disproportionately affects marginalized individuals, most health utility studies are conducted in hospital settings which are difficult for marginalized patients to access. We compared health utilities in CHC patients receiving care at hospital-based clinics and socio-economically marginalized CHC patients receiving care through a community-based program. METHODS: We recruited CHC patients from hospital-based clinics at the University Health Network and community-based sites of the Toronto Community Hep C Program, which provides treatment, support, and education to patients who have difficulty accessing mainstream health care. We elicited utilities using six standardized instruments (EuroQol-5D-3L [EQ-5D], Health Utilities Index Mark 2/Mark 3 [HUI2/HUI3], Short Form-6D [SF-6D], time trade-off [TTO], and Visual Analogue Scale [VAS]). Multivariable regression analysis was performed to examine factors associated with differences in health utility. RESULTS: Compared with patients recruited from the hospital setting (n = 190), patients recruited from the community setting (n = 101) had higher unemployment (87% versus 67%), history of injection drug use (88% versus 42%), and history of mental health issue(s) (79% versus 46%). Unadjusted health utilities were lower in community than hospital patients (e.g., EQ-5D: 0.722 [SD 0.209] versus 0.806 [SD 0.195]). Unemployment and a history of mental health issue(s) were significant predictors of low health utility. CONCLUSIONS: Socio-economically marginalized CHC patients have lower health utilities than patients typically represented in the CHC utility literature. Their utilities should be incorporated into future cost-utility analyses to better represent the population living with CHC in health policy decisions.
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Affiliation(s)
- Yasmin A Saeed
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
- Toronto Health Economics and Technology Assessment (THETA) Collaborative, University Health Network, Toronto, Ontario, Canada
| | - Kate Mason
- Toronto Community Hep C Program (TCHCP), Toronto, Ontario, Canada
| | - Nicholas Mitsakakis
- Children’s Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Jordan J Feld
- Toronto Centre for Liver Disease, University Health Network, Toronto, Ontario, Canada
| | - Karen E Bremner
- Toronto Health Economics and Technology Assessment (THETA) Collaborative, University Health Network, Toronto, Ontario, Canada
| | - Arcturus Phoon
- Toronto Health Economics and Technology Assessment (THETA) Collaborative, University Health Network, Toronto, Ontario, Canada
| | - Alice Fried
- Toronto Health Economics and Technology Assessment (THETA) Collaborative, University Health Network, Toronto, Ontario, Canada
| | - Josephine F Wong
- Toronto Health Economics and Technology Assessment (THETA) Collaborative, University Health Network, Toronto, Ontario, Canada
| | - Jeff Powis
- Toronto Community Hep C Program (TCHCP), Toronto, Ontario, Canada
- Michael Garron Hospital, Toronto, Ontario, Canada
| | - Murray D Krahn
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
- Toronto Health Economics and Technology Assessment (THETA) Collaborative, University Health Network, Toronto, Ontario, Canada
- Deceased 01 07 22
| | - William WL Wong
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
- Toronto Health Economics and Technology Assessment (THETA) Collaborative, University Health Network, Toronto, Ontario, Canada
- School of Pharmacy, University of Waterloo, Kitchener, Ontario, Canada
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Abstract
Patient-reported outcomes are recognized as essential for the evaluation of medical and public health interventions. Over the last 50 years, health-related quality of life (HRQoL) research has grown exponentially from 0 to more than 17,000 papers published annually. We provide an overview of generic HRQoL measures used widely in epidemiological studies, health services research, population studies, and randomized clinical trials [e.g., Medical Outcomes Study SF-36 and the Patient-Reported Outcomes Measurement Information System (PROMIS®)-29]. In addition, we review methods used for economic analysis and calculation of the quality-adjusted life year (QALY). These include the EQ-5D, the Health Utilities Index (HUI), the self-administered Quality of Well-being Scale (QWB-SA), and the Health and Activities Limitation Index (HALex). Furthermore, we consider hybrid measures such as the SF-6D and the PROMIS-Preference (PROPr). The plethora of HRQoL measures has impeded cumulative science because incomparable measures have been used in different studies. Linking among different measures and consensus on standard HRQoL measurement should now be prioritized. In addition, enabling widespread access to common measures is necessary to accelerate future progress. Expected final online publication date for the Annual Review of Public Health, Volume 43 is April 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Robert M Kaplan
- Clinical Excellence Research Center, Department of Medicine, Stanford University, Stanford, California, USA;
| | - Ron D Hays
- Division of General Internal Medicine, Department of Medicine, University of California, Los Angeles, California, USA
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Gandhi M, Ang M, Teo K, Wong CW, Wei YCH, Tan RLY, Janssen MF, Luo N. EQ-5D-5L is More Responsive than EQ-5D-3L to Treatment Benefit of Cataract Surgery. PATIENT-PATIENT CENTERED OUTCOMES RESEARCH 2020; 12:383-392. [PMID: 30607809 DOI: 10.1007/s40271-018-00354-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND It is not clear whether 5-level EQ-5D (EQ-5D-5L) utilities based on recently developed value sets are more responsive than 3-level EQ-5D (EQ-5D-3L) utilities. OBJECTIVES The study aims were to compare (1) the responsiveness of EQ-5D-5L and EQ-5D-3L utilities and (2) the responsiveness of these utilities with the Short Form-6 Dimension (SF-6D) and Health Utilities Index Mark 3 (HUI3) utilities to the treatment benefit of cataract surgery. METHODS A total of 148 patients were interviewed before and after their cataract surgery using EQ-5D-3L, EQ-5D-5L, SF-6D, and HUI3. Responsiveness was assessed for all measures using the mean change (post-treatment-pre-treatment), standardized effect size (SES), standardized response mean (SRM), and F-statistic. RESULTS Using the Singapore value sets, mean change for EQ-5D-3L and EQ-5D-5L utilities was 0.016 and 0.028, SES was 0.097 and 0.199; SRM was 0.091 and 0.196; and F-statistic was 1.2 and 5.7, respectively. Similar trends were observed using the UK/England EQ-5D value sets, although the magnitude was slightly smaller. The mean change, SES, SRM and F-statistics for SF-6D (UK value set) were 0.020, 0.234, 0.249, and 9.2, respectively. The values of mean change, SES, SRM and F-statistics for HUI3 (Canada value set) were 0.080, 0.472, 0.474, and 33.3, respectively. CONCLUSIONS The EQ-5D-5L utilities tend to be more responsive than the EQ-5D-3L utilities to treatment benefits of cataract surgery. The HUI3 utilities are more responsive than both the EQ-5D-5L and SF-6D, and SF-6D utilities may be slightly more responsive than the EQ-5D-5L for assessing patients undergoing cataract surgery.
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Affiliation(s)
- Mihir Gandhi
- Department of Biostatistics, Singapore Clinical Research Institute, Singapore, Singapore.,Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.,Tampere Center for Child Health Research, University of Tampere and Tampere University Hospital, Tampere, Finland
| | - Marcus Ang
- Corneal and External Eye Disease Department, Singapore National Eye Centre, 11 Third Hospital Avenue, Singapore, Singapore. .,Opthamology and Visual Sciences, Duke-NUS Medical School, Singapore, Singapore.
| | - Kelvin Teo
- Corneal and External Eye Disease Department, Singapore National Eye Centre, 11 Third Hospital Avenue, Singapore, Singapore
| | - Chee Wai Wong
- Corneal and External Eye Disease Department, Singapore National Eye Centre, 11 Third Hospital Avenue, Singapore, Singapore
| | - Yvonne Chung-Hsi Wei
- Corneal and External Eye Disease Department, Singapore National Eye Centre, 11 Third Hospital Avenue, Singapore, Singapore
| | - Rachel Lee-Yin Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Mathieu F Janssen
- Section Medical Psychology and Psychotherapy, Department of Psychiatry, Erasmus MC, Rotterdam, Netherlands
| | - Nan Luo
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
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Ojelabi AO, Bamgboye AE, Ling J. Preference-based measure of health-related quality of life and its determinants in sickle cell disease in Nigeria. PLoS One 2019; 14:e0223043. [PMID: 31738762 PMCID: PMC6860997 DOI: 10.1371/journal.pone.0223043] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 08/28/2019] [Indexed: 02/02/2023] Open
Abstract
Background Health-related quality of life (HRQL) and economic burden are important issues for people with sickle cell disease (SCD) owing to better survival due to medical advances. Preference-based or utility information is necessary to make informed economic decisions on treatment and alternative therapies. This study aimed to assess preference-based measures of HRQL in sickle cell patients. Methods and findings Data were collected from two SCD outpatient clinics in Ibadan, Nigeria. A standard algorithm was used to derive utility scores, and measure SF-6D from the SF-36. A multivariate regression model was used to assess predictors and their impact. A combination of socio-demographic, bio-physiological and psychosocial variables predicted utility score in people with SCD. Socio-demographic and bio-physiological factors explained 7.5% and 17.9% of the variance respectively, while psychosocial factors explained 4.9%. Women had lower utility scores with a small effect size (d = 0.17). Utility score increased with level of education but decreased with age, anxiety, frequency of pain episodes and number of co-morbidities. Conclusions Utility score in SCD was low indicating a substantial impact of the disease on HRQL of patients and the value they place on their health state due to the limitations they experienced. Interventions should include both clinical and psychosocial approach to help in improving their quality of life of the patients.
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Affiliation(s)
- Adedokun Oluwafemi Ojelabi
- University of Ibadan, Ibadan, Nigeria
- School of Nursing and Health Sciences, University of Sunderland, Sunderland, United Kingdom
- * E-mail:
| | | | - Jonathan Ling
- School of Nursing and Health Sciences, University of Sunderland, Sunderland, United Kingdom
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Commentary. In Praise of Studies That Use More Than One Generic Preference-Based Measure. Int J Technol Assess Health Care 2019; 35:257-262. [PMID: 31296277 DOI: 10.1017/s0266462319000412] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVES AND BACKGROUND Generic preference-based (GPB) measures of health-related quality of life (HRQL) are widely used as outcome measures in cost-effectiveness and cost-utility analyses (CEA, CUA). Health technology assessment agencies favor GPB measures because they facilitate comparisons among conditions and because the scoring functions for these measures are based on community preferences. However, there is no gold standard HRQL measure, scores generated by GPB measures may differ importantly, and changes in scores may fail to detect important changes in HRQL. Therefore, to enhance the accumulation of empirical evidence on how well GPB measures perform, we advocate that investigators routinely use two (or more) GPB measures in each study. METHODS We discuss key measurement properties and present examples to illustrate differences in responsiveness for several major GPB measures across a wide variety of health contexts. We highlight the contributions of longitudinal head-to-head studies. RESULTS There is substantial evidence that the performance of GPB measures varies importantly among diseases and health conditions. Scores are often not interchangeable. There are numerous examples of studies in which one GPB measure was responsive while another was not. CONCLUSIONS Investigators should use two (or more) GPB measures. Study protocols should designate one measure as the primary outcome measure; the other measure(s) would be used in secondary analyses. As evidence accumulates it will better inform the relative strengths and weaknesses of alternative GPB measures in various clinical conditions. This will facilitate the selection and interpretation of GPB measures in future studies.
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Abdin E, Chong SA, Seow E, Peh CX, Tan JH, Liu J, Hui SFS, Chua BY, Sim K, Verma S, Vaingankar JA, Subramaniam M. A comparison of the reliability and validity of SF-6D, EQ-5D and HUI3 utility measures in patients with schizophrenia and patients with depression in Singapore. Psychiatry Res 2019; 274:400-408. [PMID: 30852434 DOI: 10.1016/j.psychres.2019.02.077] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2018] [Revised: 02/28/2019] [Accepted: 02/28/2019] [Indexed: 10/27/2022]
Abstract
There is limited evidence of a direct comparison of the psychometric performance of generic preference-based measures in patients with mental illness in an Asian patient population. The current study aimed to compare the test-retest reliability, convergent and known-group validity and magnitude of change in scores of the EuroQol Five-Dimension, Health Utility Index Mark 3 (HUI3) and Short-Form Six-Dimension (SF-6D) measures in patients with depression and patients with schizophrenia spectrum disorder. 500 patients were recruited from a tertiary psychiatric institution in Singapore. The Schizophrenia Quality of Life Scale (SQLS), 8-item Patient Health Questionnaire, Quality of Life Enjoyment and Satisfaction Questionnaire (Q-LES-Q), and Positive and Negative Syndrome Scale were also included. In the schizophrenia sample, the SF-6D was found to have higher test-retest validity, convergent validity with SQLS domain scores, known-group validity and magnitude of change in scores over 6-month follow up than other measures. In the depression sample, the HUI3 was found to have higher test-retest reliability, convergent validity with Q-LES-Q, known group validity and magnitude of change in scores than other measures. Results suggest that the SF-6D and HUI3 to be more suitable as a utility measure for patients with schizophrenia and depression in an Asian patient population.
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Affiliation(s)
- Edimansyah Abdin
- Research Division, Institute of Mental Health, Buangkok Green Medical Park, 10 Buangkok View, 539747, Singapore.
| | - Siow Ann Chong
- Research Division, Institute of Mental Health, Buangkok Green Medical Park, 10 Buangkok View, 539747, Singapore
| | - Esmond Seow
- Research Division, Institute of Mental Health, Buangkok Green Medical Park, 10 Buangkok View, 539747, Singapore
| | - Chao Xu Peh
- Research Division, Institute of Mental Health, Buangkok Green Medical Park, 10 Buangkok View, 539747, Singapore
| | - Jit Hui Tan
- Research Division, Institute of Mental Health, Buangkok Green Medical Park, 10 Buangkok View, 539747, Singapore
| | - Jianlin Liu
- Research Division, Institute of Mental Health, Buangkok Green Medical Park, 10 Buangkok View, 539747, Singapore
| | - Sophia Foo Si Hui
- Research Division, Institute of Mental Health, Buangkok Green Medical Park, 10 Buangkok View, 539747, Singapore
| | - Boon Yiang Chua
- Research Division, Institute of Mental Health, Buangkok Green Medical Park, 10 Buangkok View, 539747, Singapore
| | - Kang Sim
- Research Division, Institute of Mental Health, Buangkok Green Medical Park, 10 Buangkok View, 539747, Singapore
| | - Swapna Verma
- Early Psychosis Intervention Programme, Institute of Mental Health, Singapore
| | - Janhavi Ajit Vaingankar
- Research Division, Institute of Mental Health, Buangkok Green Medical Park, 10 Buangkok View, 539747, Singapore
| | - Mythily Subramaniam
- Research Division, Institute of Mental Health, Buangkok Green Medical Park, 10 Buangkok View, 539747, Singapore
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Shah TJ, Conway MD, Peyman GA. Intracameral dexamethasone injection in the treatment of cataract surgery induced inflammation: design, development, and place in therapy. Clin Ophthalmol 2018; 12:2223-2235. [PMID: 30464383 PMCID: PMC6219274 DOI: 10.2147/opth.s165722] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
Cataract surgery is one of the most commonly performed surgeries worldwide, with nearly 20 million cases annually. Appropriate prophylaxis after cataract surgery can contribute to a safe and quick visual recovery with high patient satisfaction. Despite being the current standard of care, the use of multiple postoperative eye drops can create a significant burden on these patients, contributing to documented and significant non-adherence to the postoperative regimen. Over the past 25 years, there have been a few studies analyzing the use of intracameral dexamethasone (DXM) in controlling inflammation following cataract surgery. This review explores various drug delivery approaches for managing intraocular inflammation after cataract surgery, documenting the strengths and weaknesses of these options and examining the role of intracameral DXM (among these other strategies) in controlling postoperative intraocular inflammation. Intracameral DXM has a particular advantage over topical steroids in possibly decreasing postoperative inflammatory symptoms and objective anterior cell and flare scores. Compared to topical steroids, there may be a slightly less theoretical risk of significant intraocular pressure spikes and systemic absorption. In addition, surveys indicate patients prefer an intraoperative intracameral injection over a self-administered postoperative eye drop regimen. However, there are several adverse effects associated with intracameral DXM delivery that are not seen with the noninvasive topical approach. Although it is unlikely that intracameral DXM will replace topical medications as the standard management for postoperative inflammation, it is seemingly another safe and effective strategy for controlling postoperative inflammation after routine cataract surgery.
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Affiliation(s)
- Tirth J Shah
- Department of Ophthalmology, University of Arizona College of Medicine, Phoenix, Arizona, USA,
| | - Mandi D Conway
- Department of Ophthalmology, University of Arizona College of Medicine, Phoenix, Arizona, USA,
- Department of Ophthalmology, Tulane University College of Medicine, New Orleans, Louisiana, USA,
| | - Gholam A Peyman
- Department of Ophthalmology, University of Arizona College of Medicine, Phoenix, Arizona, USA,
- Department of Ophthalmology, Tulane University College of Medicine, New Orleans, Louisiana, USA,
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Lin Z, Rao X, Zhang Z, Xuan J. Economic evaluation of human urinary kallindinogenase for patients with acute ischemic stroke in China. J Med Econ 2018; 21:778-783. [PMID: 29706099 DOI: 10.1080/13696998.2018.1470977] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
OBJECTIVES In China, both human urinary kallindinogenase (HUK) and 3-n-butylphthalide (NBP) are recommended for clinical use to improve cerebral blood circulation during an acute ischemic stroke (AIS). The objective was to evaluate the economic value of HUK vs NBP for patients with AIS from a Chinese payer's perspective. METHODS An economic evaluation based on data of patients who have been treated with either HUK (n = 488) or NBP (n = 885) from a prospective, phase IV, multi-center, clinical registry study (Chinese Acute Ischemic Stroke Treatment Outcome Registry, CASTOR) was conducted to analyze the cost and effectiveness of HUK vs NBP for AIS in China. Before the analysis, the patients were matched using propensity score. Both a cost-minimization analysis and a cost-effectiveness analysis were conducted to compare the matched pairs. A bootstrapping exercise was conducted for the matched arms to demonstrate the probability of one intervention being cost-effective over another for a given willingness-to-pay for an extra quality-adjusted life-year (QALY). RESULTS After propensity score matching, 463 pairs were matched. The overall medical cost in the HUK arm is USD 2,701.20, while the NBP arm is USD 3,436.83, indicating HUK is preferred with cost-minimization analysis. Although the QALY gained in the HUK arm (0.77176) compared with the NBP arm (0.76831) is statistically insignificant (p = .4862), the cost-effectiveness analysis as exploratory analysis found that, compared with NBP, HUK is a cost-saving strategy with the lower costs of USD 735.63 and greater QALYs gained of 0.00345. Among the 5,000 bootstrapping replications, 100% indicates that HUK is cost-effective compared with NBP under a 1-time-GDP threshold; and 97.12% indicates the same under a 3-time-GDP threshold. CONCLUSION This economic evaluation study indicates that administrating HUK is a cost-saving therapy compared with NBP for managing blood flow during AIS in the Chinese setting.
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Affiliation(s)
- Ziyi Lin
- a Shanghai Centennial Scientific Co., Ltd , Shanghai , PR China
| | - Xiuqin Rao
- b Techpool Bio-pharma Co., Ltd , Chaoyang District, Beijing , PR China
| | - Zhijun Zhang
- b Techpool Bio-pharma Co., Ltd , Chaoyang District, Beijing , PR China
| | - Jianwei Xuan
- c Sun Yat-Sen University, Health Economic Research Institute , Guangzhou , PR China
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10
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Hanmer J, Dewitt B, Yu L, Tsevat J, Roberts M, Revicki D, Pilkonis PA, Hess R, Hays RD, Fischhoff B, Feeny D, Condon D, Cella D. Cross-sectional validation of the PROMIS-Preference scoring system. PLoS One 2018; 13:e0201093. [PMID: 30063733 PMCID: PMC6067708 DOI: 10.1371/journal.pone.0201093] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Accepted: 07/09/2018] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVES The PROMIS-Preference (PROPr) score is a recently developed summary score for the Patient-Reported Outcomes Measurement Information System (PROMIS). PROPr is a preference-based scoring system for seven PROMIS domains created using multiplicative multi-attribute utility theory. It serves as a generic, societal, preference-based summary scoring system of health-related quality of life. This manuscript evaluates construct validity of PROPr in two large samples from the US general population. METHODS We utilized 2 online panel surveys, the PROPr Estimation Survey and the Profiles-Health Utilities Index (HUI) Survey. Both included the PROPr measure, patient demographic information, self-reported chronic conditions, and other preference-based summary scores: the EuroQol-5D (EQ-5D-5L) and HUI in the PROPr Estimation Survey and the HUI in the Profiles-HUI Survey. The HUI was scored as both the Mark 2 and the Mark 3. Known-groups validity was evaluated using age- and gender-stratified mean scores and health condition impact estimates. Condition impact estimates were created using ordinary least squares regression in which a summary score was regressed on age, gender, and a single health condition. The coefficient for the health condition is the estimated effect on the preference score of having a condition vs. not having it. Convergent validity was evaluated using Pearson correlations between PROPr and other summary scores. RESULTS The sample consisted of 983 respondents from the PROPr Estimation Survey and 3,000 from the Profiles-HUI survey. Age- and gender-stratified mean PROPr scores were lower than EQ-5D and HUI scores, with fewer subjects having scores corresponding to perfect health on the PROPr. In the PROPr Estimation survey, all 11 condition impact estimates were statistically significant using PROPr, 8 were statistically significant by the EQ-5D, 7 were statistically significant by HUI Mark 2, and 9 were statistically significant by HUI Mark 3. In the Profiles-HUI survey, all 21 condition impact estimates were statistically significant using summary scores from all three scoring systems. In these samples, the correlations between PROPr and the other summary measures ranged from 0.67 to 0.70. CONCLUSIONS These results provide evidence of construct validity for PROPr using samples from the US general population.
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Affiliation(s)
- Janel Hanmer
- Department of General Internal Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America
| | - Barry Dewitt
- Department of Engineering and Public Policy and Institute for Politics and Strategy, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America
| | - Lan Yu
- Department of General Internal Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America
| | - Joel Tsevat
- Department of Medicine, Long School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas and Department of Population Health, Dell Medical School, University of Texas at Austin, Austin, Texas, United States of America
| | - Mark Roberts
- Department of General Internal Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America
- Department of Health Policy and Management, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Dennis Revicki
- Outcomes Research, Evidera, Bethesda, Maryland, United States of America
| | - Paul A. Pilkonis
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States of America
| | - Rachel Hess
- Division of Health System Innovation and Research, University of Utah Schools of the Health Sciences, Salt Lake City, Utah, United States of America
| | - Ron D. Hays
- Division of General Internal Medicine & Health Services Research, UCLA, Los Angeles, California, United States of America
| | - Baruch Fischhoff
- Department of Engineering and Public Policy and Institute for Politics and Strategy, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America
| | - David Feeny
- Department of Economics, McMaster University, Hamilton, Ontario, Canada
| | - David Condon
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - David Cella
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
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Blieden Betts M, Gandra SR, Cheng LI, Szatkowski A, Toth PP. Differences in utility elicitation methods in cardiovascular disease: a systematic review. J Med Econ 2018; 21:74-84. [PMID: 28899233 DOI: 10.1080/13696998.2017.1379410] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
AIMS Utility values inform estimates of the cost-effectiveness of treatment for cardiovascular disease (CVD), but values can vary depending on the method used. The aim of this systematic literature review (SLR) was to explore how methods of elicitation impact utility values for CVD. MATERIALS AND METHODS This review identified English-language articles in Embase, MEDLINE, and the gray literature published between September 1992 and August 2015 using keywords for "utilities" and "stroke", "heart failure", "myocardial infarction", or "angina". Variability in utility values based on the method of elicitation, tariff, or type of respondent was then reported. RESULTS This review screened 4,341 citations; 290 of these articles qualified for inclusion in the SLR because they reported utility values for one or more of the cardiovascular conditions of interest listed above. Of these 290, the 41 articles that provided head-to-head comparisons of utility methods for CVD were reviewed. In this sub-set, it was found that methodological differences contributed to variation in utility values. Direct methods often yielded higher scores than did indirect methods. Within direct methods, there were no clear trends in head-to-head studies (standard gamble [SG] vs time trade-off); but general population respondents often provided lower scores than did patients with the disease when evaluating the same health states with SG methods. When comparing indirect methods, the EQ-5D typically yielded higher values than the SF-6D, but also showed more sensitivity to differences in health states. CONCLUSIONS When selecting CVD utility values for an economic model, consideration of the utility elicitation method is important, as this review demonstrates that methodology of choice impacts utility values in CVD.
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Affiliation(s)
| | | | - Lung-I Cheng
- c Takeda Oncology , Cambridge , MA , USA (current)
| | | | - Peter P Toth
- d CGH Medical Center , Sterling , IL , USA
- e Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine , Baltimore , MD , USA
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12
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Prem Senthil M, Khadka J, Gilhotra JS, Simon S, Pesudovs K. Exploring the quality of life issues in people with retinal diseases: a qualitative study. J Patient Rep Outcomes 2017; 1:15. [PMID: 29757297 PMCID: PMC5934910 DOI: 10.1186/s41687-017-0023-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Accepted: 09/21/2017] [Indexed: 11/30/2022] Open
Abstract
Background The lack of an appropriate retina-specific patient-reported outcome instrument restricts the understanding of the full impact of hereditary retinal diseases and other less common but potentially blinding acquired retinal diseases such as, vascular occlusions, epiretinal membrane, macular hole, central serous retinopathy and other vitreoretinopathies on quality of life. This study aims to explore the quality of life issues in people with hereditary retinal diseases and acquired retinal diseases to develop disease-specific patient-reported outcome instruments. Methods A qualitative research methodology to understand the lived experiences of people with retinal diseases was carried out. Data were collected through semistructured interviews. The coding, aggregation and theme development was carried out using the NVivo −10 software. Results Seventy-nine interviews were conducted with participants with hereditary retinal diseases (n = 32; median age = 57 years) and acquired retinal diseases (n = 47; median age = 73 years). We identified nine quality of life themes (domains) relevant to people with retinal diseases. Difficulty in performing important day-to-day activities (activity limitation) was the most prominent quality of life issue in the hereditary retinal diseases group whereas concerns about health, disease outcome and personal safety (health concerns) was the most prominent quality of life issue in the acquired retinal diseases group. Participants with hereditary retinal diseases had more issues with social interaction (social well-being), problems with mobility and orientation (mobility), and effect on work and finance (economic) than participants with acquired retinal diseases. On the contrary, participants with acquired retinal diseases reported more inconveniences (conveniences) than participants with hereditary retinal diseases, which were mostly attributed to treatment. Participants with hereditary retinal diseases were coping better compared to participants with acquired retinal diseases. Conclusions Our study found that participants with both hereditary and acquired retinal diseases are living with myriad of disease-specific quality of life issues. Many of these issues are completely different and unique to each disease group. Hence, these group of diseases would need separate patient-reported outcome instruments to capture the disease-specific quality of life impacts. Electronic supplementary material The online version of this article (10.1186/s41687-017-0023-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Mallika Prem Senthil
- 1NHMRC Centre for Clinical Eye Research, Flinders University of South Australia, Adelaide, South Australia 5001 Australia
| | - Jyoti Khadka
- 1NHMRC Centre for Clinical Eye Research, Flinders University of South Australia, Adelaide, South Australia 5001 Australia
| | | | - Sumu Simon
- 2University of Adelaide, Adelaide, South Australia 5005 Australia
| | - Konrad Pesudovs
- 1NHMRC Centre for Clinical Eye Research, Flinders University of South Australia, Adelaide, South Australia 5001 Australia
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13
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Comparison of the EQ-5D-3L and the SF-6D (SF-12) contemporaneous utility scores in patients with cardiovascular disease. Qual Life Res 2017; 26:3399-3408. [DOI: 10.1007/s11136-017-1666-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/26/2017] [Indexed: 11/26/2022]
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14
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Hays RD, Revicki DA, Feeny D, Fayers P, Spritzer KL, Cella D. Using Linear Equating to Map PROMIS(®) Global Health Items and the PROMIS-29 V2.0 Profile Measure to the Health Utilities Index Mark 3. PHARMACOECONOMICS 2016; 34:1015-22. [PMID: 27116613 PMCID: PMC5026900 DOI: 10.1007/s40273-016-0408-x] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
BACKGROUND Preference-based health-related quality of life (HR-QOL) scores are useful as outcome measures in clinical studies, for monitoring the health of populations, and for estimating quality-adjusted life-years. METHODS This was a secondary analysis of data collected in an internet survey as part of the Patient-Reported Outcomes Measurement Information System (PROMIS(®)) project. To estimate Health Utilities Index Mark 3 (HUI-3) preference scores, we used the ten PROMIS(®) global health items, the PROMIS-29 V2.0 single pain intensity item and seven multi-item scales (physical functioning, fatigue, pain interference, depressive symptoms, anxiety, ability to participate in social roles and activities, sleep disturbance), and the PROMIS-29 V2.0 items. Linear regression analyses were used to identify significant predictors, followed by simple linear equating to avoid regression to the mean. RESULTS The regression models explained 48 % (global health items), 61 % (PROMIS-29 V2.0 scales), and 64 % (PROMIS-29 V2.0 items) of the variance in the HUI-3 preference score. Linear equated scores were similar to observed scores, although differences tended to be larger for older study participants. CONCLUSIONS HUI-3 preference scores can be estimated from the PROMIS(®) global health items or PROMIS-29 V2.0. The estimated HUI-3 scores from the PROMIS(®) health measures can be used for economic applications and as a measure of overall HR-QOL in research.
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Affiliation(s)
- Ron D Hays
- Division of General Internal Medicine, Department of Medicine, UCLA, 911 Broxton Avenue, Los Angeles, CA, 90024, USA.
| | | | - David Feeny
- Department of Economics, McMaster University, Hamilton, ON, Canada
- Health Utilities Incorporated, Dundas, ON, Canada
| | - Peter Fayers
- Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
- Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Karen L Spritzer
- Division of General Internal Medicine, Department of Medicine, UCLA, 911 Broxton Avenue, Los Angeles, CA, 90024, USA
| | - David Cella
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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15
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Yeh JM, Hanmer J, Ward ZJ, Leisenring WM, Armstrong GT, Hudson MM, Stovall M, Robison LL, Oeffinger KC, Diller L. Chronic Conditions and Utility-Based Health-Related Quality of Life in Adult Childhood Cancer Survivors. J Natl Cancer Inst 2016; 108:djw046. [PMID: 27102402 DOI: 10.1093/jnci/djw046] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2015] [Accepted: 02/15/2016] [Indexed: 12/22/2022] Open
Abstract
Health utility, a summary measure of quality of life, has not been previously used to compare outcomes among childhood cancer survivors and individuals without a cancer history. We estimated health utility (0, death; 1, perfect health) using the Short Form-6D (SF-6D) in survivors (n = 7105) and siblings of survivors (n = 372) (using the Childhood Cancer Survivor Study cohort) and the general population (n = 12 803) (using the Medical Expenditures Panel Survey). Survivors had statistically significantly lower SF-6D scores than the general population (mean = 0.769, 95% confidence interval [CI] = 0.766 to 0.771, vs mean = 0.809, 95% CI = 0.806 to 0.813, respectively, ITALIC! P< .001, two-sided). Young adult survivors (age 18-29 years) reported scores comparable with general population estimates for people age 40 to 49 years. Among survivors, SF-6D scores were largely determined by number and severity of chronic conditions. No clinically meaningful differences were identified between siblings and the general population (mean = 0.793, 95% CI = 0.782 to 0.805, vs mean = 0.809, 95% CI = 0.806 to 0.813, respectively). This analysis illustrates the importance of chronic conditions on long-term survivor quality of life and provides encouraging results on sibling well-being. Preference-based utilities are informative tools for outcomes research in cancer survivors.
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Affiliation(s)
- Jennifer M Yeh
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (JMY, ZJW); University of Pittsburgh Medical Center, Pittsburgh, PA (JH); Fred Hutchinson Cancer Research Center, Seattle, WA (WML); St. Jude Children's Research Hospital, Memphis, TN (GTA, MMH, LLR); University of Texas MD Anderson Cancer Center, Houston, TX (MS); Memorial Sloan Kettering Cancer Center, New York, NY (KCO); Dana-Farber/Boston Children's Cancer and Blood Disorders Center and Harvard Medical School, Boston, MA (LD)
| | - Janel Hanmer
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (JMY, ZJW); University of Pittsburgh Medical Center, Pittsburgh, PA (JH); Fred Hutchinson Cancer Research Center, Seattle, WA (WML); St. Jude Children's Research Hospital, Memphis, TN (GTA, MMH, LLR); University of Texas MD Anderson Cancer Center, Houston, TX (MS); Memorial Sloan Kettering Cancer Center, New York, NY (KCO); Dana-Farber/Boston Children's Cancer and Blood Disorders Center and Harvard Medical School, Boston, MA (LD)
| | - Zachary J Ward
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (JMY, ZJW); University of Pittsburgh Medical Center, Pittsburgh, PA (JH); Fred Hutchinson Cancer Research Center, Seattle, WA (WML); St. Jude Children's Research Hospital, Memphis, TN (GTA, MMH, LLR); University of Texas MD Anderson Cancer Center, Houston, TX (MS); Memorial Sloan Kettering Cancer Center, New York, NY (KCO); Dana-Farber/Boston Children's Cancer and Blood Disorders Center and Harvard Medical School, Boston, MA (LD)
| | - Wendy M Leisenring
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (JMY, ZJW); University of Pittsburgh Medical Center, Pittsburgh, PA (JH); Fred Hutchinson Cancer Research Center, Seattle, WA (WML); St. Jude Children's Research Hospital, Memphis, TN (GTA, MMH, LLR); University of Texas MD Anderson Cancer Center, Houston, TX (MS); Memorial Sloan Kettering Cancer Center, New York, NY (KCO); Dana-Farber/Boston Children's Cancer and Blood Disorders Center and Harvard Medical School, Boston, MA (LD)
| | - Gregory T Armstrong
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (JMY, ZJW); University of Pittsburgh Medical Center, Pittsburgh, PA (JH); Fred Hutchinson Cancer Research Center, Seattle, WA (WML); St. Jude Children's Research Hospital, Memphis, TN (GTA, MMH, LLR); University of Texas MD Anderson Cancer Center, Houston, TX (MS); Memorial Sloan Kettering Cancer Center, New York, NY (KCO); Dana-Farber/Boston Children's Cancer and Blood Disorders Center and Harvard Medical School, Boston, MA (LD)
| | - Melissa M Hudson
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (JMY, ZJW); University of Pittsburgh Medical Center, Pittsburgh, PA (JH); Fred Hutchinson Cancer Research Center, Seattle, WA (WML); St. Jude Children's Research Hospital, Memphis, TN (GTA, MMH, LLR); University of Texas MD Anderson Cancer Center, Houston, TX (MS); Memorial Sloan Kettering Cancer Center, New York, NY (KCO); Dana-Farber/Boston Children's Cancer and Blood Disorders Center and Harvard Medical School, Boston, MA (LD)
| | - Marilyn Stovall
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (JMY, ZJW); University of Pittsburgh Medical Center, Pittsburgh, PA (JH); Fred Hutchinson Cancer Research Center, Seattle, WA (WML); St. Jude Children's Research Hospital, Memphis, TN (GTA, MMH, LLR); University of Texas MD Anderson Cancer Center, Houston, TX (MS); Memorial Sloan Kettering Cancer Center, New York, NY (KCO); Dana-Farber/Boston Children's Cancer and Blood Disorders Center and Harvard Medical School, Boston, MA (LD)
| | - Leslie L Robison
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (JMY, ZJW); University of Pittsburgh Medical Center, Pittsburgh, PA (JH); Fred Hutchinson Cancer Research Center, Seattle, WA (WML); St. Jude Children's Research Hospital, Memphis, TN (GTA, MMH, LLR); University of Texas MD Anderson Cancer Center, Houston, TX (MS); Memorial Sloan Kettering Cancer Center, New York, NY (KCO); Dana-Farber/Boston Children's Cancer and Blood Disorders Center and Harvard Medical School, Boston, MA (LD)
| | - Kevin C Oeffinger
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (JMY, ZJW); University of Pittsburgh Medical Center, Pittsburgh, PA (JH); Fred Hutchinson Cancer Research Center, Seattle, WA (WML); St. Jude Children's Research Hospital, Memphis, TN (GTA, MMH, LLR); University of Texas MD Anderson Cancer Center, Houston, TX (MS); Memorial Sloan Kettering Cancer Center, New York, NY (KCO); Dana-Farber/Boston Children's Cancer and Blood Disorders Center and Harvard Medical School, Boston, MA (LD)
| | - Lisa Diller
- Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA (JMY, ZJW); University of Pittsburgh Medical Center, Pittsburgh, PA (JH); Fred Hutchinson Cancer Research Center, Seattle, WA (WML); St. Jude Children's Research Hospital, Memphis, TN (GTA, MMH, LLR); University of Texas MD Anderson Cancer Center, Houston, TX (MS); Memorial Sloan Kettering Cancer Center, New York, NY (KCO); Dana-Farber/Boston Children's Cancer and Blood Disorders Center and Harvard Medical School, Boston, MA (LD)
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16
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Whitehurst DGT, Mittmann N, Noonan VK, Dvorak MF, Bryan S. Health state descriptions, valuations and individuals' capacity to walk: a comparative evaluation of preference-based instruments in the context of spinal cord injury. Qual Life Res 2016; 25:2481-2496. [PMID: 27098235 DOI: 10.1007/s11136-016-1297-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/11/2016] [Indexed: 11/29/2022]
Abstract
PURPOSE This study explores variation in health state descriptions and valuations derived from preference-based health-related quality of life instruments in the context of spinal cord injury (SCI). METHODS Individuals living with SCI were invited to complete a web-based, cross-sectional survey. The survey comprised questions regarding demographics, SCI classifications and characteristics, secondary health complications and conditions, quality of life and SCI-specific functioning in activities of daily living. Four preference-based health status classification systems were included; Assessment of Quality of Life 8-dimension questionnaire (AQoL-8D), EQ-5D-5L, Health Utilities Index (HUI) and SF-6D (derived from the SF-36v2). In addition to descriptive comparisons of index scores and item/dimension responses, analyses explored dimension-level correlation and absolute agreement (intraclass correlation coefficient (ICC)). Subgroup analyses examined the influence of individuals' self-reported ability to walk. RESULTS Of 609 invitations, 364 (60 %) individuals completed the survey. Across instruments, convergent validity was seen between pain and mental health dimensions, while sizeable variation pertaining to issues of mobility was observed. Mean index scores were 0.248 (HUI-3), 0.492 (EQ-5D-5L), 0.573 (AQoL-8D) and 0.605 (SF-6D). Agreement ranged from 'slight' (HUI-3 and SF-6D; ICC = 0.124) to 'moderate' (AQoL-8D and SF-6D; ICC = 0.634). Walking status had a markedly different impact on health state valuations across instruments. CONCLUSIONS Variation in the way that individuals are able to describe their health state across instruments is not unique to SCI. Further research is necessary to understand the significant differences in index scores and, in particular, the implications of framing mobility-related questions in the context of respondents' ability to walk.
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Affiliation(s)
- David G T Whitehurst
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada. .,International Collaboration on Repair Discoveries (ICORD), Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada. .,Centre for Clinical Epidemiology and Evaluation, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada.
| | - Nicole Mittmann
- Health Outcomes and PharmacoEconomics (HOPE) Research Centre, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Department of Pharmacology, University of Toronto, Toronto, ON, Canada
| | | | - Marcel F Dvorak
- International Collaboration on Repair Discoveries (ICORD), Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.,Rick Hansen Institute, Vancouver, BC, Canada
| | - Stirling Bryan
- Centre for Clinical Epidemiology and Evaluation, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada.,School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.,Health Economics Research Unit, University of Aberdeen, Aberdeen, Scotland, UK
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17
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Zhang P, Hire D, Espeland MA, Knowler WC, Thomas S, Tsai AG, Glick HA. Impact of intensive lifestyle intervention on preference-based quality of life in type 2 diabetes: Results from the Look AHEAD trial. Obesity (Silver Spring) 2016; 24:856-64. [PMID: 27028282 PMCID: PMC4817364 DOI: 10.1002/oby.21445] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2015] [Accepted: 12/03/2015] [Indexed: 11/09/2022]
Abstract
OBJECTIVE To assess the effect of an intensive lifestyle intervention (ILI) compared with standard diabetes support and education (DSE) on preference-based health-related quality of life (HRQOL) in persons with overweight or obesity and type 2 diabetes. METHODS Look AHEAD was a multisite, randomized trial of 5,145 participants assigned to ILI or DSE. Four instruments were administered during the trial: Feeling Thermometer (FT), Health Utilities Index Mark 2 (HUI2), Health Utilities Index Mark 3 (HUI3), and Short Form 6D (SF-6D). Linear mixed effect models were used to estimate the mean difference in preference scores by treatment group for 9 years. RESULTS The ILI had higher mean FT (0.019, 95% CI, 0.015-0.024, P < 0.001) and SF-6D (0.011, 95% CI, 0.006-0.014, P < 0.001) scores than the DSE. No significant group differences were observed for the HUI2 (0.004, 95% CI, -0.003 to 0.010, P = 0.23) and HUI3 (0.004, -0.004 to 0.012, P = 0.36). In year 1, the ILI had higher mean preference scores for all instruments. Thereafter, the increases remained significant only for FT and SF-6D, and the effects also become smaller. CONCLUSIONS ILI aimed at reducing body weight among persons with overweight or obesity and type 2 diabetes improves preference-based HRQOL in the short term, but its long-term effect is unclear.
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Affiliation(s)
- Ping Zhang
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA 30341
| | - Don Hire
- Division of Internal Medicine, University of Colorado School of Medicine, Aurora, CO, 80045
| | - Mark A. Espeland
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157
| | - William C. Knowler
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157
| | - Sheikilya Thomas
- National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ 85014
| | - Adam G. Tsai
- Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, Al 35205
| | - Henry A. Glick
- Division of General Internal Medicine, University of Pennsylvania, Philadelphia, PA 19104
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Porela-Tiihonen S, Kokki H, Kaarniranta K, Kokki M. Recovery after cataract surgery. Acta Ophthalmol 2016; 94 Suppl 2:1-34. [PMID: 27111408 DOI: 10.1111/aos.13055] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Cataract surgery is the most common ophthalmological surgical procedure, and it is predicted that the number of surgeries will increase significantly in the future. However, little is known about the recovery after surgery. The first aim of this study was to evaluate the prevalence, severity and duration of pain and other ocular discomfort symptoms experienced after cataract surgery. The other objectives were to identify the factors associated with lower postoperative patient satisfaction and to measure the effect of cataract surgery on patients' health-related quality of life (HRQoL) and visual function in everyday life. The study design was a prospective follow-up study. The course of the recovery and the presence of ocular symptoms were evaluated by interviewing the patients via a questionnaire at 1 day, 1 week, 6 weeks and one year after surgery The visual functioning in everyday life was measured with Visual Functioning Index VF-7 and Catquest-9SF-questionnaires and furthermore the HRQoL was measured with the 15D-instrument before surgery and at 12 months after surgery. The patients returned the questionnaires by mail and were interviewed in the hospital on the day of the surgery. The same patients filled-in all the questionnaires. The patient reports were used to collect the data on medical history. A total of 303 patients were approached at Kuopio University Hospital in 2010-2011 and of these 196 patients were eligible and willing to participate, with postoperative data being available from 186 (95%) patients. A systematic review article was included in the study procedure and it revealed the wide range in the reported incidence of postoperative ocular pain. Some of the identified randomized controlled studies reported no or only minor pain whereas in some studies significant pain or pain lasting for several weeks has been described in more than 50% of the study patients. In the present study setting, pain was reported by 34% during the first postoperative hours and by approximately 10% of patients during the first six weeks after surgery. During the early recovery in the hospital, only a minority of the patients reporting pain were provided with pain medication. The ocular discomfort symptoms such as itchiness, burning, foreign-body sensation and tearing were common both before (54%) and after surgery (38-52%). These symptoms can also be described as painful symptoms and are often difficult to distinguish from ocular pain. The symptoms are also typical of ocular surface disease, and some patients may benefit from the postoperative administration of tear substitutes. The patients reporting postoperative ocular symptoms were less satisfied with the treatment outcome at 12 months after surgery (p = 0.001) compared to the patients who experienced no symptoms. Those patients reporting less disability in visual functioning before surgery were more satisfied than patients with more reported disability. The HRQoL improved significantly after cataract surgery (p = 0.002). However, when compared to an age-and gender-standardized control population, in cataract subjects the HRQoL remained slightly worse both before and at 12 months after surgery.
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Affiliation(s)
- Susanna Porela-Tiihonen
- Department of Anaesthesiology and Department of Intensive Care Medicine; Kuopio University Hospital; University of Eastern Finland; Kuopio Finland
| | - Hannu Kokki
- Department of Anaesthesiology and Department of Intensive Care Medicine; Kuopio University Hospital; University of Eastern Finland; Kuopio Finland
| | - Kai Kaarniranta
- Department of Ophthalmology; Kuopio University Hospital; University of Eastern Finland; Kuopio Finland
| | - Merja Kokki
- Department of Anaesthesiology and Department of Intensive Care Medicine; Kuopio University Hospital; University of Eastern Finland; Kuopio Finland
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Richardson J, Iezzi A, Khan MA, Chen G, Maxwell A. Measuring the Sensitivity and Construct Validity of 6 Utility Instruments in 7 Disease Areas. Med Decis Making 2015; 36:147-59. [DOI: 10.1177/0272989x15613522] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2014] [Accepted: 09/20/2015] [Indexed: 01/13/2023]
Abstract
Background. Health services that affect quality of life (QoL) are increasingly evaluated using cost utility analyses (CUA). These commonly employ one of a small number of multiattribute utility instruments (MAUI) to assess the effects of the health service on utility. However, the MAUI differ significantly, and the choice of instrument may alter the outcome of an evaluation. Aims. The present article has 2 objectives: 1) to compare the results of 3 measures of the sensitivity of 6 MAUI and the results of 6 tests of construct validity in 7 disease areas and 2) to rank the MAUI by each of the test results in each disease area and by an overall composite index constructed from the tests. Methods. Patients and the general public were administered a battery of instruments, which included the 6 MAUI, disease-specific QoL instruments (DSI), and 6 other comparator instruments. In each disease area, instrument sensitivity was measured 3 ways: by the unadjusted mean difference in utility between public and patient groups, by the value of the effect size, and by the correlation between MAUI and DSI scores. Content and convergent validity were tested by comparison of MAUI utilities and scores from the 6 comparator instruments. These included 2 measures of health state preferences, measures of subjective well-being and capabilities, and generic measures of physical and mental QoL derived from the SF-36. Results. The apparent sensitivity of instruments varied significantly with the measurement method and by disease area. Validation test results varied with the comparator instruments. Notwithstanding this variability, the 15D, AQoL-8D, and the SF-6D generally achieved better test results than the QWB and EQ-5D-5L.
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Affiliation(s)
- Jeff Richardson
- Centre for Health Economics, Monash Business School, Monash University, Australia (JR, AI, MAK, AM)
- Flinders Health Economics Group, Flinders University, Australia (GC)
| | - Angelo Iezzi
- Centre for Health Economics, Monash Business School, Monash University, Australia (JR, AI, MAK, AM)
- Flinders Health Economics Group, Flinders University, Australia (GC)
| | - Munir A. Khan
- Centre for Health Economics, Monash Business School, Monash University, Australia (JR, AI, MAK, AM)
- Flinders Health Economics Group, Flinders University, Australia (GC)
| | - Gang Chen
- Centre for Health Economics, Monash Business School, Monash University, Australia (JR, AI, MAK, AM)
- Flinders Health Economics Group, Flinders University, Australia (GC)
| | - Aimee Maxwell
- Centre for Health Economics, Monash Business School, Monash University, Australia (JR, AI, MAK, AM)
- Flinders Health Economics Group, Flinders University, Australia (GC)
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20
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Hanmer J, Cherepanov D, Palta M, Kaplan RM, Feeny D, Fryback DG. Health Condition Impacts in a Nationally Representative Cross-Sectional Survey Vary Substantially by Preference-Based Health Index. Med Decis Making 2015; 36:264-74. [PMID: 26314728 DOI: 10.1177/0272989x15599546] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2015] [Accepted: 03/09/2015] [Indexed: 01/08/2023]
Abstract
IMPORTANCE Many cost-utility analyses rely on generic utility measures for estimates of disease impact. Commonly used generic preference-based indexes may generate different absolute estimates of disease burden despite sharing anchors of dead at 0 and full health at 1.0. OBJECTIVE We compare the impact of 16 prevalent chronic health conditions using 6 utility-based indexes of health and a visual analog scale. DESIGN Data were from the National Health Measurement Study (NHMS), a cross-sectional telephone survey of 3844 adults aged 35 to 89 years in the United States. MAIN OUTCOME MEASURES The NHMS included the EuroQol-5D-3L, Health and Activities Limitation Index (HALex), Health Utilities Index Mark 2 (HUI2) and Mark 3 (HUI3), preference-based scoring for the SF-36v2 (SF-6D), Quality of Well-Being Scale, and visual analog scale. Respondents self-reported 16 chronic conditions. Survey-weighted regression analyses for each index with all health conditions, age, and sex were used to estimate health condition impact estimates in terms of quality-adjusted life years (QALYs) lost over 10 years. All analyses were stratified by ages 35 to 69 and 70 to 89 years. RESULTS There were significant differences between the indexes for estimates of the absolute impact of most conditions. On average, condition impacts were the smallest with the SF-6D and EQ-5D-3L and the largest with the HALex and HUI3. Likewise, the estimated loss of QALYs varied across indexes. Condition impact estimates for EQ-5D-3L, HUI2, HUI3, and SF-6D generally had strong Spearman correlations across conditions (i.e., >0.69). LIMITATIONS This analysis uses cross-sectional data and lacks health condition severity information. CONCLUSIONS Health condition impact estimates vary substantially across the indexes. These results imply that it is difficult to standardize results across cost-utility analyses that use different utility measures.
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Affiliation(s)
- Janel Hanmer
- Department of Internal Medicine, University of Pittsburgh, Pittsburgh, PA (JH)
| | - Dasha Cherepanov
- Partnership for Health Analytic Research, LLC, Beverly Hills, CA (DC)
| | - Mari Palta
- Population Health Sciences, University of Wisconsin-Madison, Madison, WI (MP, DF)
| | - Robert M Kaplan
- UCLA Department of Health Services, University of California, Los Angeles, CA (RMK)
| | - David Feeny
- Population Health Sciences, University of Wisconsin-Madison, Madison, WI (MP, DF),Department of Economics, McMaster University, Hamilton, ON, Canada (DF)
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Frampton G, Harris P, Cooper K, Lotery A, Shepherd J. The clinical effectiveness and cost-effectiveness of second-eye cataract surgery: a systematic review and economic evaluation. Health Technol Assess 2015; 18:1-205, v-vi. [PMID: 25405576 DOI: 10.3310/hta18680] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Elective cataract surgery is the most commonly performed surgical procedure in the NHS. In bilateral cataracts, the eye with greatest vision impairment from cataract is operated on first. First-eye surgery can improve vision and quality of life. However, it is unclear whether or not cataract surgery on the second eye provides enough incremental benefit to be considered clinically effective and cost-effective. OBJECTIVE To conduct a systematic review of clinical effectiveness and analysis of cost-effectiveness of second-eye cataract surgery in England and Wales, based on an economic model informed by systematic reviews of cost-effectiveness and quality of life. DATA SOURCES Twelve electronic bibliographic databases, including MEDLINE, EMBASE, Web of Science, The Cochrane Library and the Centre for Reviews and Dissemination databases were searched from database inception to April 2013, with searches updated in July 2013. Reference lists of relevant publications were also checked and experts consulted. REVIEW METHODS Two reviewers independently screened references, extracted and checked data from the included studies and appraised their risk of bias. Based on the review of cost-effectiveness, a de novo economic model was developed to estimate the cost-effectiveness of second-eye surgery in bilateral cataract patients. The model is based on changes in quality of life following second-eye surgery and includes post-surgical complications. RESULTS Three randomised controlled trials (RCTs) of clinical effectiveness, three studies of cost-effectiveness and 10 studies of health-related quality of life (HRQoL) met the inclusion criteria for the systematic reviews and, where possible, were used to inform the economic analysis. Heterogeneity of studies precluded meta-analyses, and instead data were synthesised narratively. The RCTs assessed visual acuity, contrast sensitivity, stereopsis and several measures of HRQoL. Improvements in binocular visual acuity and contrast sensitivity were small and unlikely to be of clinical significance, but stereopsis was improved to a clinically meaningful extent following second-eye surgery. Studies did not provide evidence that second-eye surgery significantly affected HRQoL, apart from an improvement in the mental health component of HRQoL in one RCT. In the model, second-eye surgery generated 0.68 incremental quality-adjusted life-years with an incremental cost-effectiveness ratio of £1964. Model results were most sensitive to changes in the utility gain associated with second-eye surgery, but otherwise robust to changes in parameter values. The probability that second-eye surgery is cost-effective at willingness-to-pay thresholds of £10,000 and £20,000 is 100%. LIMITATIONS Clinical effectiveness studies were all conducted more than 9 years ago. Patients had good vision pre surgery which may not represent all patients eligible for second-eye surgery. For some vision-related patient-reported outcomes and HRQoL measures, thresholds for determining important clinical effects are either unclear or have not been determined. CONCLUSIONS Second-eye cataract surgery is generally cost-effective based on the best available data and under most assumptions. However, more up-to-date data are needed. A well-conducted RCT that reflects current populations and enables the estimation of health state utility values would be appropriate. Guidance is required on which vision-related, patient-reported outcomes are suitable for assessing effects of cataract surgery in the NHS and how these measures should be interpreted clinically. STUDY REGISTRATION This project is registered as PROSPERO CRD42013004211. FUNDING This project was funded by the National Institute for Health Research Health Technology Assessment programme.
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Affiliation(s)
- Geoff Frampton
- Southampton Health Technology Assessments Centre (SHTAC), University of Southampton, Southampton, UK
| | - Petra Harris
- Southampton Health Technology Assessments Centre (SHTAC), University of Southampton, Southampton, UK
| | - Keith Cooper
- Southampton Health Technology Assessments Centre (SHTAC), University of Southampton, Southampton, UK
| | - Andrew Lotery
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Jonathan Shepherd
- Southampton Health Technology Assessments Centre (SHTAC), University of Southampton, Southampton, UK
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Kim SK, Kim SH, Jo MW, Lee SI. Estimation of minimally important differences in the EQ-5D and SF-6D indices and their utility in stroke. Health Qual Life Outcomes 2015; 13:32. [PMID: 25889191 PMCID: PMC4359514 DOI: 10.1186/s12955-015-0227-3] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2014] [Accepted: 02/24/2015] [Indexed: 11/13/2022] Open
Abstract
Background The aim of the present study was to estimate minimally important differences (MIDs) in EQ-5D and SF-6D indices and to explore the responsiveness of EQ-5D and SF-6D indices in stroke. Methods We used observational longitudinal survey data of EQ-5D and SF-36 that were administered to stroke patients at baseline and at 10 months. A range of MIDs for both indexes was estimated using anchor-based approaches. The modified Rankin scale and the Barthel index were used as an anchor. Results The MID estimates for EQ-5D ranged from 0.08 to 0.12 and those for SF-6D ranged from 0.04 to 0.14 in stroke patients. The MID values for these two utility measures differed in absolute magnitude, as the SF-6D index has wider range that that of the EQ-5D index. Conclusions The MID values for these two utility measures differed in absolute magnitude, as the SF-6D index has wider range that that of the EQ-5D index. These MID estimates may assist the interpretation of health related quality of life assessments related to health care intervention in stroke patients.
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Affiliation(s)
- Sang-Kyu Kim
- Department of Preventive Medicine, Dongguk University College of Medicine, 123, Dongdae-ro, Gyeongju-si, Gyeongbuk, South Korea.
| | - Seon-Ha Kim
- Department of Nursing, Dankook University, 119 Dandae-ro, Dongnam-gu, Cheonan-si, Chungnam, South Korea.
| | - Min-Woo Jo
- Department of Preventive Medicine, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 138-736, South Korea.
| | - Sang-il Lee
- Department of Preventive Medicine, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 138-736, South Korea.
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Craig BM, Reeve BB, Brown PM, Cella D, Hays RD, Lipscomb J, Simon Pickard A, Revicki DA. US valuation of health outcomes measured using the PROMIS-29. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2014; 17:846-53. [PMID: 25498780 PMCID: PMC4471856 DOI: 10.1016/j.jval.2014.09.005] [Citation(s) in RCA: 115] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2014] [Revised: 08/24/2014] [Accepted: 09/13/2014] [Indexed: 05/20/2023]
Abstract
OBJECTIVES Health valuation studies enhance economic evaluations of treatments by estimating the value of health-related quality of life (HRQOL). The Patient-Reported Outcomes Measurement Information System (PROMIS) includes a 29-item short-form HRQOL measure, the PROMIS-29. METHODS To value PROMIS-29 responses on a quality-adjusted life-year scale, we conducted a national survey (N = 7557) using quota sampling based on the US 2010 Census. Based on 541 paired comparisons with over 350 responses each, pair-specific probabilities were incorporated into a weighted least-squared estimator. RESULTS All losses in HRQOL influenced choice; however, respondents valued losses in physical function, anxiety, depression, sleep, and pain more than those in fatigue and social functioning. CONCLUSIONS This article introduces a novel approach to valuing HRQOL for economic evaluations using paired comparisons and provides a tool to translate PROMIS-29 responses into quality-adjusted life-years.
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Affiliation(s)
- Benjamin M Craig
- Health Outcomes and Behavior, Moffitt Cancer Center and University of South Florida, Tampa, FL, USA.
| | - Bryce B Reeve
- Department of Health Policy and Management, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Paul M Brown
- School of Social Sciences, Humanities and Arts, University of California, Merced, Merced, CA, USA
| | - David Cella
- Department of Medical Social Sciences, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Ron D Hays
- Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; RAND, Health Program, Santa Monica, CA, USA
| | - Joseph Lipscomb
- Department of Health and Policy Management, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - A Simon Pickard
- Department of Pharmacy Systems, Outcomes and Policy, University of Illinois at Chicago, Chicago, IL, USA
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Pinto-Prades JL, Rodríguez-Míguez E. The lead time tradeoff: the case of health states better than dead. Med Decis Making 2014; 35:305-15. [PMID: 25009190 DOI: 10.1177/0272989x14541952] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Lead time tradeoff (L-TTO) is a variant of the time tradeoff (TTO). L-TTO introduces a lead period in full health before illness onset, avoiding the need to use 2 different procedures for states better and worse than dead. To estimate utilities, additive separability is assumed. We tested to what extent violations of this assumption can bias utilities estimated with L-TTO. METHODS A sample of 500 members of the Spanish general population evaluated 24 health states, using face-to-face interviews. A total of 188 subjects were interviewed with L-TTO and the rest with TTO. Both samples evaluated the same set of 24 health states, divided into 4 groups with 6 health states per set. Each subject evaluated 1 of the sets. A random effects regression model was fitted to our data. Only health states better than dead were included in the regression since it is in this subset where additive separability can be tested clearly. RESULTS Utilities were higher in L-TTO in relation to TTO (on average L-TTO adds about 0.2 points to the utility of health states), suggesting that additive separability is violated. The difference between methods increased with the severity of the health state. Thus, L-TTO adds about 0.14 points to the average utility of the less severe states, 0.23 to the intermediate states, and 0.28 points to the more severe estates. CONCLUSIONS L-TTO produced higher utilities than TTO. Health problems are perceived as less severe if a lead period in full health is added upfront, implying that there are interactions between disjointed time periods. The advantages of this method have to be compared with the cost of modeling the interaction between periods.
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Stey AM, Danzig M, Qiu S, Yin S, Divino CM. Cost-utility analysis of repair of reducible ventral hernia. Surgery 2014; 155:1081-9. [PMID: 24856128 DOI: 10.1016/j.surg.2014.03.041] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2013] [Accepted: 03/26/2014] [Indexed: 01/08/2023]
Abstract
BACKGROUND Patient-reported outcomes are an important metric of the effectiveness of care. Ventral hernia repair is a procedure where the effectiveness can best be quantified using health-related quality of life. This study sought to quantify quality of life with respect to costs of ventral hernia repair. METHODS This observational study of patients diagnosed with a ventral hernia between 2004-2011 in a single center identified 3 groups of patients: (1) Patients diagnosed with ventral hernias managed with observation, (2) patients diagnosed with ventral hernias who underwent operative repair only when incarceration occurred, and (3) patients with ventral hernias who underwent herniorraphy before incarceration. The Short Form (SF)12v2 was administered to measure quality of life. The direct costs of care were obtained from Financial Services. Patients were surveyed about direct, non-health costs to obtain a societal perspective. A cost-utility analysis was performed. RESULTS The SF-12v2 was administered to 243 patients; 80 were observed, 69 underwent repair of an incarcerated hernia, and 94 underwent repair of a nonincarcerated hernia. The response rates were similar among groups-59%, 55%, and 52%. Quality of life as measured by utility score was less at 0.68 (95% CI, 0.65-0.71) in patients who did not undergo repair compared with those after repair of a nonincarcerated hernia, 0.76 (95% CI, 0.73-0.79; P < .001). The elective repair of a nonincarcerated hernia was cost-effective with an incremental cost effectiveness ratio of $8,646 per quality-adjusted life-year. CONCLUSION The prompt elective repair of ventral hernias is cost-effective.
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Affiliation(s)
- Anne M Stey
- Department of Surgery, Icahn School of Medicine at Mount Sinai Hospital, New York, NY
| | - Matthew Danzig
- Department of Surgery, Icahn School of Medicine at Mount Sinai Hospital, New York, NY
| | - Sylvia Qiu
- Department of Surgery, Icahn School of Medicine at Mount Sinai Hospital, New York, NY
| | - Sujing Yin
- Department of Surgery, Icahn School of Medicine at Mount Sinai Hospital, New York, NY
| | - Celia M Divino
- Department of Surgery, Icahn School of Medicine at Mount Sinai Hospital, New York, NY.
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Rentz AM, Kowalski JW, Walt JG, Hays RD, Brazier JE, Yu R, Lee P, Bressler N, Revicki DA. Development of a preference-based index from the National Eye Institute Visual Function Questionnaire-25. JAMA Ophthalmol 2014; 132:310-8. [PMID: 24435696 DOI: 10.1001/jamaophthalmol.2013.7639] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE Understanding how individuals value health states is central to patient-centered care and to health policy decision making. Generic preference-based measures of health may not effectively capture the impact of ocular diseases. Recently, 6 items from the National Eye Institute Visual Function Questionnaire-25 were used to develop the Visual Function Questionnaire-Utility Index health state classification, which defines visual function health states. OBJECTIVE To describe elicitation of preferences for health states generated from the Visual Function Questionnaire-Utility Index health state classification and development of an algorithm to estimate health preference scores for any health state. DESIGN, SETTING, AND PARTICIPANTS Nonintervention, cross-sectional study of the general community in 4 countries (Australia, Canada, United Kingdom, and United States). A total of 607 adult participants were recruited from local newspaper advertisements. In the United Kingdom, an existing database of participants from previous studies was used for recruitment. INTERVENTIONS Eight of 15,625 possible health states from the Visual Function Questionnaire-Utility Index were valued using time trade-off technique. MAIN OUTCOMES AND MEASURES A θ severity score was calculated for Visual Function Questionnaire-Utility Index-defined health states using item response theory analysis. Regression models were then used to develop an algorithm to assign health state preference values for all potential health states defined by the Visual Function Questionnaire-Utility Index. RESULTS Health state preference values for the 8 states ranged from a mean (SD) of 0.343 (0.395) to 0.956 (0.124). As expected, preference values declined with worsening visual function. Results indicate that the Visual Function Questionnaire-Utility Index describes states that participants view as spanning most of the continuum from full health to dead. CONCLUSIONS AND RELEVANCE Visual Function Questionnaire-Utility Index health state classification produces health preference scores that can be estimated in vision-related studies that include the National Eye Institute Visual Function Questionnaire-25. These preference scores may be of value for estimating utilities in economic and health policy analyses.
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Affiliation(s)
| | | | | | - Ron D Hays
- Department of Medicine, University of California, Los Angeles
| | - John E Brazier
- School of Health and Related Research, Sheffield University, Sheffield, England
| | - Ren Yu
- Evidera, Bethesda, Maryland
| | - Paul Lee
- Duke University, Durham, North Carolina6now with Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor
| | - Neil Bressler
- Retina Division, Wilmer Eye Institute, Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland
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Boye KS, Matza LS, Feeny DH, Johnston JA, Bowman L, Jordan JB. Challenges to time trade-off utility assessment methods: when should you consider alternative approaches? Expert Rev Pharmacoecon Outcomes Res 2014; 14:437-50. [DOI: 10.1586/14737167.2014.912562] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Tordrup D, Mossman J, Kanavos P. Responsiveness of the EQ-5D to clinical change: is the patient experience adequately represented? Int J Technol Assess Health Care 2014; 30:10-19. [PMID: 24499622 DOI: 10.1017/s0266462313000640] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVES In many economic evaluations and reimbursement decisions, quality-adjusted life-years (QALYs) are used as a measure of benefit to assess effectiveness of novel therapies, often based on the EQ-5D 3-level questionnaire. As only five dimensions of physical and mental well-being are reflected in this tool, significant aspects of the patient experience may be missed. We evaluate the use of the EQ-5D as a measurement of clinical change across a wide range of disorders from dermatological (acne) to life-threatening (metastatic cancers). METHODS We analyze published studies on the psychometric properties of the EQ-5D 3-level questionnaire, extracting information on the Visual Analogue Scale versus Index score, Standardized Response Mean, and Effect Size. These are compared with ranges generally accepted to represent good responsiveness in the psychometric literature. RESULTS We find that only approximately one in five study populations report subjective health state valuation of patients within 5 percent of the score attributed by the EQ-5D index, and more than 40 percent of studies report unacceptable ceiling effects. In the majority of studies, responsiveness of the EQ-5D index was found to be poor to moderate, based on Effect Size (63 percent poor–moderate) and Standardized Response Mean (72 percent poor–moderate). CONCLUSIONS We conclude that the EQ-5D index does not adequately reflect patient health status across a range of conditions, and it is likely that a significant proportion of the subjective patient experience is not accounted for by the index. This has implications for economic evaluations of novel drugs based on evidence generated with the EQ-5D.
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Affiliation(s)
| | | | - Panos Kanavos
- Department of Social Policy and LSE Health, London School of Economics
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Hays RD, Reeve BB, Smith AW, Clauser SB. Associations of cancer and other chronic medical conditions with SF-6D preference-based scores in Medicare beneficiaries. Qual Life Res 2013; 23:385-91. [PMID: 23990395 DOI: 10.1007/s11136-013-0503-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/09/2013] [Indexed: 10/26/2022]
Abstract
PURPOSE Documenting the impact of different types of cancer on daily functioning and well-being is important for understanding burden relative to other chronic medical conditions. This study examined the impact of 10 different cancers and 13 other chronic medical conditions on health-related quality of life. METHODS Health-related quality of life data were gathered on the Medicare Health Outcomes Survey (MHOS) between 1998 and 2002. Cancer information was ascertained using the National Cancer Institute's surveillance, epidemiology, and end results program and linked to MHOS data. RESULTS The average SF-6D score was 0.73 (SD = 0.14). Depressive symptoms had the largest unique association with the SF-6D, followed by arthritis of the hip, chronic obstructive pulmonary disease/asthma, stroke, and sciatica. In addition, the majority of cancer types were significantly associated with the SF-6D score, with significant negative weights ranging from -0.01 to -0.02 on the 0-1 health utility scale. Distant stage of cancer was associated with large decrements in the SF-6D ranging from -0.04 (prostate) to -0.08 (female breast). CONCLUSION A large number of chronic conditions, including cancer, are associated uniquely with decrements in health utility. The cumulative effects of comorbid conditions have substantial impact on daily functioning and well-being of Medicare beneficiaries.
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Affiliation(s)
- Ron D Hays
- Division of General Internal Medicine & Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA,
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Swan JS, Kong CY, Lee JM, Itauma O, Halpern EF, Lee PA, Vavinskiy S, Williams O, Zoltick ES, Donelan K. Patient and societal value functions for the testing morbidities index. Med Decis Making 2013; 33:819-38. [PMID: 23689044 DOI: 10.1177/0272989x13487605] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND We developed preference-based and summated scale scoring for the Testing Morbidities Index (TMI) classification, which addresses short-term effects on quality of life from diagnostic testing before, during, and after testing procedures. METHODS The two TMI preference functions use multiattribute value techniques; one is patient-based and the other has a societal perspective, informed by 206 breast biopsy patients and 466 (societal) subjects. Because of a lack of standard short-term methods for this application, we used the visual analog scale (VAS). Waiting tradeoff (WTO) tolls provided an additional option for linear transformation of the TMI. We randomized participants to 1 of 3 surveys: The first derived weights for generic testing morbidity attributes and levels of severity with the VAS; a second developed VAS values and WTO tolls for linear transformation of the TMI to a "dead-healthy" scale; the third addressed initial validation in a specific test (breast biopsy). The initial validation included 188 patients and 425 community subjects. Direct VAS and WTO values were compared with the TMI. Alternative TMI scoring as a nonpreference summated scale was included, given evidence of construct and content validity. RESULTS The patient model can use an additive function, whereas the societal model is multiplicative. Direct VAS and the VAS-scaled TMI were correlated across modeling groups (r = 0.45-0.62). Agreement was comparable to the value function validation of the Health Utilities Index 2. Mean absolute difference (MAD) calculations showed a range of 0.07-0.10 in patients and 0.11-0.17 in subjects. MAD for direct WTO tolls compared with the WTO-scaled TMI varied closely around 1 quality-adjusted life day. CONCLUSIONS The TMI shows initial promise in measuring short-term testing-related health states.
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Affiliation(s)
- J Shannon Swan
- Massachusetts General Hospital Institute for Technology Assessment, Boston, MA (JSS, CYK, JML, OA, EFH, PL, OW, ESZ, KD),Harvard Medical School, Boston, MA (JSS, CYK, JML, EFH, KD)
| | - Chung Yin Kong
- Massachusetts General Hospital Institute for Technology Assessment, Boston, MA (JSS, CYK, JML, OA, EFH, PL, OW, ESZ, KD),Harvard Medical School, Boston, MA (JSS, CYK, JML, EFH, KD)
| | - Janie M Lee
- Massachusetts General Hospital Institute for Technology Assessment, Boston, MA (JSS, CYK, JML, OA, EFH, PL, OW, ESZ, KD),Harvard Medical School, Boston, MA (JSS, CYK, JML, EFH, KD)
| | - Omosalewa Itauma
- Massachusetts General Hospital Institute for Technology Assessment, Boston, MA (JSS, CYK, JML, OA, EFH, PL, OW, ESZ, KD),Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI (OA)
| | - Elkan F Halpern
- Massachusetts General Hospital Institute for Technology Assessment, Boston, MA (JSS, CYK, JML, OA, EFH, PL, OW, ESZ, KD),Harvard Medical School, Boston, MA (JSS, CYK, JML, EFH, KD)
| | - Pablo A Lee
- Massachusetts General Hospital Institute for Technology Assessment, Boston, MA (JSS, CYK, JML, OA, EFH, PL, OW, ESZ, KD)
| | - Sergey Vavinskiy
- Indiana University Department of Radiology, Indianapolis, IN (SV),Indiana State Government, Indianapolis, IN (SV)
| | - Olubunmi Williams
- Massachusetts General Hospital Institute for Technology Assessment, Boston, MA (JSS, CYK, JML, OA, EFH, PL, OW, ESZ, KD)
| | - Emilie S Zoltick
- Massachusetts General Hospital Institute for Technology Assessment, Boston, MA (JSS, CYK, JML, OA, EFH, PL, OW, ESZ, KD),Boston University School of Public Health, Boston, MA (ESZ)
| | - Karen Donelan
- Massachusetts General Hospital Institute for Technology Assessment, Boston, MA (JSS, CYK, JML, OA, EFH, PL, OW, ESZ, KD),Harvard Medical School, Boston, MA (JSS, CYK, JML, EFH, KD),Mongan Institute for Health Policy and Massachusetts General Hospital, Boston, MA (KD)
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Norman R, Church J, van den Berg B, Goodall S. Australian health-related quality of life population norms derived from the SF-6D. Aust N Z J Public Health 2013; 37:17-23. [PMID: 23379801 DOI: 10.1111/1753-6405.12005] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Affiliation(s)
- Richard Norman
- Centre for Health Economics Research and Evaluation, University of Technology, Sydney, New South Wales.
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Feeny D. Standardization and regulatory guidelines may inhibit science and reduce the usefulness of analyses based on the application of preference-based measures for policy decisions. Med Decis Making 2012. [PMID: 23184461 DOI: 10.1177/0272989x12468793] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- David Feeny
- University of Alberta, Portland, Oregon, USA (DF)
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Kaplan MS, Huguet N, Feeny D, McFarland BH, Caetano R, Bernier J, Giesbrecht N, Oliver L, Ross N. Alcohol use patterns and trajectories of health-related quality of life in middle-aged and older adults: a 14-year population-based study. J Stud Alcohol Drugs 2012; 73:581-90. [PMID: 22630796 PMCID: PMC3364324 DOI: 10.15288/jsad.2012.73.581] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2012] [Accepted: 03/23/2012] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVE A 14-year multiwave panel design was used to examine relationships between longitudinal alcohol-consumption patterns, especially persistent moderate use, and change in health-related quality of life among middle-aged and older adults. METHOD A nationally representative sample of 5,404 community-dwelling Canadians ages 50 and older at baseline (1994/1995) was obtained from the longitudinal National Population Health Survey. Alcohol-consumption patterns were developed based on the quantity and frequency of use in the 12 months before the interview. Health-related quality of life was assessed with the Health Utilities Index Mark 3 (HUI3). Latent growth curve modeling was used to estimate the change in HUI3 for each alcohol pattern after adjusting for covariates measured at baseline. RESULTS Most participants showed stable alcohol-consumption patterns over 6 years. Persistent non-users, persistent former users, those decreasing their consumption levels, and those with unstable patterns (i.e., U shaped and inverted U shaped) had lower HUI3 scores at baseline compared with persistent moderate drinkers. A more rapid decline in HUI3 scores than that observed for persistent moderate users was seen only in those with decreasing consumption (p < .001). In a subgroup identified as consistently healthy before follow-up, longitudinal drinking patterns were associated with initial HUI3 scores but not rates of change. CONCLUSIONS Persistent moderate drinkers had higher initial levels of health-related quality of life than persistent nonusers, persistent former users, decreasing users, U-shaped users, and inverted U-shaped users. However, rates of decline over time were similar for all groups except those decreasing their consumption, who had a greater decline in their level of health-related quality of life than persistent moderate users.
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