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How can we estimate QALYs based on PHQ-9 scores? Equipercentile linking analysis of PHQ-9 and EQ-5D

BACKGROUND: Quality-adjusted life years (QALYs) are widely used to measure the impact of various diseases on both the quality and quantity of life and in their economic valuations. It will be clinically important and informative if we can estimate QALYs based on measurements of depression severity....

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Autores principales: Furukawa, Toshi A, Levine, Stephen Z, Buntrock, Claudia, Ebert, David D, Gilbody, Simon, Brabyn, Sally, Kessler, David, Björkelund, Cecilia, Eriksson, Maria, Kleiboer, Annet, van Straten, Annemieke, Riper, Heleen, Montero-Marin, Jesus, Garcia-Campayo, Javier, Phillips, Rachel, Schneider, Justine, Cuijpers, Pim, Karyotaki, Eirini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311092/
https://www.ncbi.nlm.nih.gov/pubmed/33653738
http://dx.doi.org/10.1136/ebmental-2020-300240
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author Furukawa, Toshi A
Levine, Stephen Z
Buntrock, Claudia
Ebert, David D
Gilbody, Simon
Brabyn, Sally
Kessler, David
Björkelund, Cecilia
Eriksson, Maria
Kleiboer, Annet
van Straten, Annemieke
Riper, Heleen
Montero-Marin, Jesus
Garcia-Campayo, Javier
Phillips, Rachel
Schneider, Justine
Cuijpers, Pim
Karyotaki, Eirini
author_facet Furukawa, Toshi A
Levine, Stephen Z
Buntrock, Claudia
Ebert, David D
Gilbody, Simon
Brabyn, Sally
Kessler, David
Björkelund, Cecilia
Eriksson, Maria
Kleiboer, Annet
van Straten, Annemieke
Riper, Heleen
Montero-Marin, Jesus
Garcia-Campayo, Javier
Phillips, Rachel
Schneider, Justine
Cuijpers, Pim
Karyotaki, Eirini
author_sort Furukawa, Toshi A
collection PubMed
description BACKGROUND: Quality-adjusted life years (QALYs) are widely used to measure the impact of various diseases on both the quality and quantity of life and in their economic valuations. It will be clinically important and informative if we can estimate QALYs based on measurements of depression severity. OBJECTIVE: To construct a conversion table from the Patient Health Questionnaire-9 (PHQ-9), the most frequently used depression scale in recent years, to the Euro-Qol Five Dimensions Three Levels (EQ-5D-3L), one of the most commonly used instruments to assess QALYs. METHODS: We obtained individual participant data of randomised controlled trials of internet cognitive-behavioural therapy which had administered depression severity scales and the EQ-5D-3L at baseline and at end of treatment. Scores from depression scales were all converted into the PHQ-9 according to the validated algorithms. We used equipercentile linking to establish correspondences between the PHQ-9 and the EQ-5D-3L. FINDINGS: Individual-level data from five trials (total N=2457) were available. Subthreshold depression (PHQ-9 scores between 5 and 10) corresponded with EQ-5D-3L index values of 0.9–0.8, mild major depression (10–15) with 0.8–0.7, moderate depression (15–20) with 0.7–0.5 and severe depression (20 or higher) with 0.6–0.0. A five-point improvement in PHQ-9 corresponded approximately with an increase in EQ-5D-3L score by 0.03 and a ten-point improvement by approximately 0.25. CONCLUSIONS AND CLINICAL IMPLICATIONS: The conversion table between the PHQ-9 and the EQ-5D-3L scores will enable fine-grained assessment of burden of depression at its various levels of severity and of impacts of its various treatments.
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spelling pubmed-83110922021-08-13 How can we estimate QALYs based on PHQ-9 scores? Equipercentile linking analysis of PHQ-9 and EQ-5D Furukawa, Toshi A Levine, Stephen Z Buntrock, Claudia Ebert, David D Gilbody, Simon Brabyn, Sally Kessler, David Björkelund, Cecilia Eriksson, Maria Kleiboer, Annet van Straten, Annemieke Riper, Heleen Montero-Marin, Jesus Garcia-Campayo, Javier Phillips, Rachel Schneider, Justine Cuijpers, Pim Karyotaki, Eirini Evid Based Ment Health Health Economics BACKGROUND: Quality-adjusted life years (QALYs) are widely used to measure the impact of various diseases on both the quality and quantity of life and in their economic valuations. It will be clinically important and informative if we can estimate QALYs based on measurements of depression severity. OBJECTIVE: To construct a conversion table from the Patient Health Questionnaire-9 (PHQ-9), the most frequently used depression scale in recent years, to the Euro-Qol Five Dimensions Three Levels (EQ-5D-3L), one of the most commonly used instruments to assess QALYs. METHODS: We obtained individual participant data of randomised controlled trials of internet cognitive-behavioural therapy which had administered depression severity scales and the EQ-5D-3L at baseline and at end of treatment. Scores from depression scales were all converted into the PHQ-9 according to the validated algorithms. We used equipercentile linking to establish correspondences between the PHQ-9 and the EQ-5D-3L. FINDINGS: Individual-level data from five trials (total N=2457) were available. Subthreshold depression (PHQ-9 scores between 5 and 10) corresponded with EQ-5D-3L index values of 0.9–0.8, mild major depression (10–15) with 0.8–0.7, moderate depression (15–20) with 0.7–0.5 and severe depression (20 or higher) with 0.6–0.0. A five-point improvement in PHQ-9 corresponded approximately with an increase in EQ-5D-3L score by 0.03 and a ten-point improvement by approximately 0.25. CONCLUSIONS AND CLINICAL IMPLICATIONS: The conversion table between the PHQ-9 and the EQ-5D-3L scores will enable fine-grained assessment of burden of depression at its various levels of severity and of impacts of its various treatments. BMJ Publishing Group 2021-08 2021-03-02 /pmc/articles/PMC8311092/ /pubmed/33653738 http://dx.doi.org/10.1136/ebmental-2020-300240 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Health Economics
Furukawa, Toshi A
Levine, Stephen Z
Buntrock, Claudia
Ebert, David D
Gilbody, Simon
Brabyn, Sally
Kessler, David
Björkelund, Cecilia
Eriksson, Maria
Kleiboer, Annet
van Straten, Annemieke
Riper, Heleen
Montero-Marin, Jesus
Garcia-Campayo, Javier
Phillips, Rachel
Schneider, Justine
Cuijpers, Pim
Karyotaki, Eirini
How can we estimate QALYs based on PHQ-9 scores? Equipercentile linking analysis of PHQ-9 and EQ-5D
title How can we estimate QALYs based on PHQ-9 scores? Equipercentile linking analysis of PHQ-9 and EQ-5D
title_full How can we estimate QALYs based on PHQ-9 scores? Equipercentile linking analysis of PHQ-9 and EQ-5D
title_fullStr How can we estimate QALYs based on PHQ-9 scores? Equipercentile linking analysis of PHQ-9 and EQ-5D
title_full_unstemmed How can we estimate QALYs based on PHQ-9 scores? Equipercentile linking analysis of PHQ-9 and EQ-5D
title_short How can we estimate QALYs based on PHQ-9 scores? Equipercentile linking analysis of PHQ-9 and EQ-5D
title_sort how can we estimate qalys based on phq-9 scores? equipercentile linking analysis of phq-9 and eq-5d
topic Health Economics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311092/
https://www.ncbi.nlm.nih.gov/pubmed/33653738
http://dx.doi.org/10.1136/ebmental-2020-300240
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