Sung-Hyun Hong1, Jae-Yeon Lee1, Sun-Kyeong Park1, Jin Hyun Nam1, Hyun Jin Song1, Sun-Young Park2, Eui-Kyung Lee3. 1. School of Pharmacy, Sungkyunkwan University, 2066, Seobu-ro, Jangan-gu, Suwon-si, Gyeonggi-do, 16419, South Korea. 2. VIAplus, 315 Techno Innovation Park, 237 Sangidaehak-ro, Siheung, Gyeonggi-do, 15073, South Korea. 3. School of Pharmacy, Sungkyunkwan University, 2066, Seobu-ro, Jangan-gu, Suwon-si, Gyeonggi-do, 16419, South Korea. ekyung@skku.edu.
Abstract
BACKGROUND AND OBJECTIVE: Utility provides a preference for specific health state in economic evaluation, and they obtained from general population could be useful in respect of societal resource allocation. We aimed to investigate the utilities of health states for heart failure (HF), a major and growing public health problem, related to hospitalization and adverse drug effects by interrogating the general Korean population. METHODS: Five health states for patients with HF were developed based on literature reviews: stable chronic heart failure (SCHF), hospitalization, SCHF + cough, SCHF + hypotension, and SCHF + hyperkalemia. We selected 100 individuals from the general population through quota sampling by age, sex, and region, and conducted face-to-face interviews. We measured utilities for 5 hypothetical health states of HF using both time trade-off (TTO) and EuroQol-5 dimensions-5 levels (EQ-5D-5L). Repeated-measures analysis of variance compared the utilities between all health states for each instrument. To identify the factors affecting the utility, a linear mixed model (LMM) analysis was performed. RESULTS: The mean utility value for SCHF, SCHF + cough, SCHF + hypotension, SCHF + hyperkalemia, and hospitalization was calculated as 0.815, 0.732, 0.646, 0.548, and 0.360, respectively, by using TTO. The respective values using EQ-5D-5L were 0.871, 0.793, 0.710, 0.589, and 0.215. The utilities for HF significantly differed between all health states in each instrument (p < 0.001). In LMM analysis, hospitalization had a significantly negative effect on the utilities of both instruments. CONCLUSIONS: The utilities decreased in order of SCHF, SCHF + cough, SCHF + hypotension, SCHF + hyperkalemia, and hospitalization. These results can be useful for decision making in resource allocation for HF interventions.
BACKGROUND AND OBJECTIVE: Utility provides a preference for specific health state in economic evaluation, and they obtained from general population could be useful in respect of societal resource allocation. We aimed to investigate the utilities of health states for heart failure (HF), a major and growing public health problem, related to hospitalization and adverse drug effects by interrogating the general Korean population. METHODS: Five health states for patients with HF were developed based on literature reviews: stable chronic heart failure (SCHF), hospitalization, SCHF + cough, SCHF + hypotension, and SCHF + hyperkalemia. We selected 100 individuals from the general population through quota sampling by age, sex, and region, and conducted face-to-face interviews. We measured utilities for 5 hypothetical health states of HF using both time trade-off (TTO) and EuroQol-5 dimensions-5 levels (EQ-5D-5L). Repeated-measures analysis of variance compared the utilities between all health states for each instrument. To identify the factors affecting the utility, a linear mixed model (LMM) analysis was performed. RESULTS: The mean utility value for SCHF, SCHF + cough, SCHF + hypotension, SCHF + hyperkalemia, and hospitalization was calculated as 0.815, 0.732, 0.646, 0.548, and 0.360, respectively, by using TTO. The respective values using EQ-5D-5L were 0.871, 0.793, 0.710, 0.589, and 0.215. The utilities for HF significantly differed between all health states in each instrument (p < 0.001). In LMM analysis, hospitalization had a significantly negative effect on the utilities of both instruments. CONCLUSIONS: The utilities decreased in order of SCHF, SCHF + cough, SCHF + hypotension, SCHF + hyperkalemia, and hospitalization. These results can be useful for decision making in resource allocation for HF interventions.
Authors: John J V McMurray; Stamatis Adamopoulos; Stefan D Anker; Angelo Auricchio; Michael Böhm; Kenneth Dickstein; Volkmar Falk; Gerasimos Filippatos; Cândida Fonseca; Miguel Angel Gomez-Sanchez; Tiny Jaarsma; Lars Køber; Gregory Y H Lip; Aldo Pietro Maggioni; Alexander Parkhomenko; Burkert M Pieske; Bogdan A Popescu; Per K Rønnevik; Frans H Rutten; Juerg Schwitter; Petar Seferovic; Janina Stepinska; Pedro T Trindade; Adriaan A Voors; Faiez Zannad; Andreas Zeiher; Jeroen J Bax; Helmut Baumgartner; Claudio Ceconi; Veronica Dean; Christi Deaton; Robert Fagard; Christian Funck-Brentano; David Hasdai; Arno Hoes; Paulus Kirchhof; Juhani Knuuti; Philippe Kolh; Theresa McDonagh; Cyril Moulin; Bogdan A Popescu; Zeljko Reiner; Udo Sechtem; Per Anton Sirnes; Michal Tendera; Adam Torbicki; Alec Vahanian; Stephan Windecker; Theresa McDonagh; Udo Sechtem; Luis Almenar Bonet; Panayiotis Avraamides; Hisham A Ben Lamin; Michele Brignole; Antonio Coca; Peter Cowburn; Henry Dargie; Perry Elliott; Frank Arnold Flachskampf; Guido Francesco Guida; Suzanna Hardman; Bernard Iung; Bela Merkely; Christian Mueller; John N Nanas; Olav Wendelboe Nielsen; Stein Orn; John T Parissis; Piotr Ponikowski Journal: Eur J Heart Fail Date: 2012-08 Impact factor: 15.534
Authors: John J V McMurray; Milton Packer; Akshay S Desai; Jianjian Gong; Martin P Lefkowitz; Adel R Rizkala; Jean L Rouleau; Victor C Shi; Scott D Solomon; Karl Swedberg; Michael R Zile Journal: N Engl J Med Date: 2014-08-30 Impact factor: 91.245
Authors: K Weller; A Groffik; M Magerl; N Tohme; P Martus; K Krause; M Metz; P Staubach; M Maurer Journal: Allergy Date: 2012-08-23 Impact factor: 13.146