Effectiveness of Revision Fusion for Lumbar Pseudoarthrosis: Two-Year Improvement in Pain, Disability, Quality of Life and Health-State Utility

Abstract Background Disease-specific registries, documenting costs and probabilities from pharmacoeconomic studies along with health state utility values from quality-of-life studies could serve as a resource to guide researchers in evaluating the published literature and in the conduct of future economic evaluations for their own research. Registries cataloging economic evaluations currently exist, however they are restricted by the type of economic evaluations they include. There is a need for intervention-specific registries, that document all types of complete and partial economic evaluations and auxiliary information such as quality of life studies. The objective of this study is to describe the development of a pharmacoeconomic registry and provide best practices using an example of hormonal contraceptives. Methods An expert panel consisting of researchers with expertise in pharmacoeconomics and outcomes research was convened and the clinical focus of the registry was finalized after extensive discussion. A list of key continuous, categorical and descriptive variables was developed to capture all relevant data with each variable defined in a data dictionary. A web-based data collection tool was designed to capture and store the resulting metadata. A keyword based search strategy was developed to retrieve the published sources of literature. Finally, articles were screened for relevancy and data was extracted to populate the registry. Expert opinions were taken from the panel at each stage to arrive at consensus and ensure validity of the registry. Results The registry focused on economic evaluation literature of hormonal contraceptives used for contraception. The registry consisted of 65 articles comprising of 22 cost-effectiveness analyses, 9 cost-utility analyses, 7 cost-benefit analyses, 1 cost-minimization, 14 cost analyses, 10 cost of illness studies and 2 quality of life studies. The best practices followed in the development of the registry were summarized as recommendations. The completed registry, data dictionary and associated data files can be accessed in the supplementary information files. Conclusion This registry is a comprehensive database of economic evaluations, including costs, clinical probabilities and health-state utility estimates. The collated data captured from published information in this registry can be used to identify trends in the literature, conduct systematic reviews and meta-analysis and develop novel pharmacoeconomic models.

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Breast Cancer Quality of Life and Health-state Utility at a Brazilian Reference Public Cancer Center

Expert Review of Pharmacoeconomics & Outcomes Research ◽

10.1080/14737167.2019.1621752 ◽

2019 ◽

Vol 20 (2) ◽

pp. 185-191 ◽

Cited By ~ 1

Author(s):

Renata Leborato Guerra ◽

Neilane Bertoni Dos Reis ◽

Flávia De Miranda Corrêa ◽

Myrian Machado Fernandes ◽

Ricardo Ribeiro Alves Fernandes ◽

...

Keyword(s):

Breast Cancer ◽

Quality Of Life ◽

Health State Utility ◽

Cancer Center ◽

Health State

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Health state utility, willingness to pay, and quality of life among Taiwanese patients with psoriasis

Dermatologica Sinica ◽

10.1016/j.dsi.2016.05.004 ◽

2016 ◽

Vol 34 (4) ◽

pp. 185-191 ◽

Cited By ~ 12

Author(s):

Wei-Chih Ko ◽

Tsen-Fang Tsai ◽

Chao-Hsiun Tang

Keyword(s):

Quality Of Life ◽

Willingness To Pay ◽

Health State Utility ◽

Health State

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United States Utility Algorithm for the EORTC QLU-C10D, a Multiattribute Utility Instrument Based on a Cancer-Specific Quality-of-Life Instrument

Medical Decision Making ◽

10.1177/0272989x211003569 ◽

2021 ◽

pp. 0272989X2110035

Author(s):

Dennis A. Revicki ◽

Madeleine T. King ◽

Rosalie Viney ◽

A. Simon Pickard ◽

Rebecca Mercieca-Bebber ◽

...

Keyword(s):

Quality Of Life ◽

United States ◽

Emotional Functioning ◽

Health State ◽

Life Questionnaire ◽

Multiattribute Utility ◽

Value Set ◽

Eortc Qlq C30 ◽

Eortc Qlq

Background The EORTC QLU-C10D is a multiattribute utility measure derived from the cancer-specific quality-of-life questionnaire, the EORTC QLQ-C30. The QLU-C10D contains 10 dimensions (physical, role, social and emotional functioning, pain, fatigue, sleep, appetite, nausea, bowel problems). The objective of this study was to develop a United States value set for the QLU-C10D. Methods A US online panel was quota recruited to achieve a representative sample for sex, age (≥18 y), race, and ethnicity. Respondents undertook a discrete choice experiment, each completing 16 choice-pairs, randomly assigned from a total of 960 choice-pairs. Each pair included 2 QLU-C10D health states and duration. Data were analyzed using conditional logistic regression, parameterized to fit the quality-adjusted life-year framework. Utility weights were calculated as the ratio of each dimension-level coefficient to the coefficient for life expectancy. Results A total of 2480 panel members opted in, 2333 (94%) completed at least 1 choice-pair, and 2273 (92%) completed all choice-pairs. Within dimensions, weights were generally monotonic. Physical functioning, role functioning, and pain were associated with the largest utility weights. Cancer-specific dimensions, such as nausea and bowel problems, were associated with moderate utility decrements, as were general issues such as problems with emotional functioning and social functioning. Sleep problems and fatigue were associated with smaller utility decrements. The value of the worst health state was 0.032, which was slightly greater than 0 (equivalent to being dead). Conclusions This study provides the US-specific value set for the QLU-C10D. These estimated health state scores, based on responses to the EORTC QLQ-C30 questionnaire, can be used to evaluate the cost-utility of oncology treatments.

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