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Preferred Reporting Items for Studies Mapping onto Preference-Based Outcome Measures: The MAPS Statement

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  • Stavros Petrou
  • Oliver Rivero-Arias
  • Helen Dakin
  • Louise Longworth
  • Mark Oppe
  • Robert Froud
  • Alastair Gray

Abstract

Background. “Mapping†onto generic preference-based outcome measures is increasingly being used as a means of generating health utilities for use within health economic evaluations. Despite the publication of technical guides for the conduct of mapping research, guidance for the reporting of mapping studies is currently lacking. The MAPS (MApping onto Preference-based measures reporting Standards) statement is a new checklist that aims to promote complete and transparent reporting of mapping studies. Methods. In the absence of previously published reporting checklists or reporting guidance documents, a de novo list of reporting items was created by a working group comprised of 6 health economists and 1 Delphi methodologist. A 2-round, modified Delphi survey with representatives from academia, consultancy, health technology assessment agencies, and the biomedical journal editorial community was used to identify a list of essential reporting items from this larger list. Results. From the initial de novo list of 29 candidate items, a set of 23 essential reporting items was developed. The items are presented numerically and categorized within 6 sections, namely: (i) title and abstract; (ii) introduction; (iii) methods; (iv) results; (v) discussion; and (vi) other. The MAPS statement is best applied in conjunction with the accompanying MAPS explanation and elaboration document. Conclusions. It is anticipated that the MAPS statement will improve the clarity, transparency, and completeness of reporting of mapping studies. To facilitate dissemination and uptake, the MAPS statement is being co-published by 7 health economics and quality-of-life journals, and broader endorsement is encouraged. The MAPS working group plans to assess the need for an update of the reporting checklist in 5 years.

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  • Stavros Petrou & Oliver Rivero-Arias & Helen Dakin & Louise Longworth & Mark Oppe & Robert Froud & Alastair Gray, 2015. "Preferred Reporting Items for Studies Mapping onto Preference-Based Outcome Measures: The MAPS Statement," Medical Decision Making, , vol. 35(6), pages 1-8, August.
  • Handle: RePEc:sae:medema:v:35:y:2015:i:6:p:np1-np8
    DOI: 10.1177/0272989X15598332
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    1. Kenneth F Schulz & Douglas G Altman & David Moher & for the CONSORT Group, 2010. "CONSORT 2010 Statement: Updated Guidelines for Reporting Parallel Group Randomised Trials," PLOS Medicine, Public Library of Science, vol. 7(3), pages 1-7, March.
    2. Stavros Petrou & Oliver Rivero-Arias & Helen Dakin & Louise Longworth & Mark Oppe & Robert Froud & Alastair Gray, 2015. "Preferred Reporting Items for Studies Mapping onto Preference-Based Outcome Measures: The MAPS Statement," Medical Decision Making, , vol. 35(6), pages 1-8, August.
    3. Brazier, John & Roberts, Jennifer & Deverill, Mark, 2002. "The estimation of a preference-based measure of health from the SF-36," Journal of Health Economics, Elsevier, vol. 21(2), pages 271-292, March.
    4. Stavros Petrou & Oliver Rivero-Arias & Helen Dakin & Louise Longworth & Mark Oppe & Robert Froud & Alastair Gray, 2015. "The MAPS Reporting Statement for Studies Mapping onto Generic Preference-Based Outcome Measures: Explanation and Elaboration," PharmacoEconomics, Springer, vol. 33(10), pages 993-1011, October.
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    1. Carlos King Ho Wong & Prudence Wing Hang Cheung & Dino Samartzis & Keith Dip-Kei Luk & Kenneth M C Cheung & Cindy Lo Kuen Lam & Jason Pui Yin Cheung, 2017. "Mapping the SRS-22r questionnaire onto the EQ-5D-5L utility score in patients with adolescent idiopathic scoliosis," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-12, April.
    2. Mona Aghdaee & Bonny Parkinson & Kompal Sinha & Yuanyuan Gu & Rajan Sharma & Emma Olin & Henry Cutler, 2022. "An examination of machine learning to map non‐preference based patient reported outcome measures to health state utility values," Health Economics, John Wiley & Sons, Ltd., vol. 31(8), pages 1525-1557, August.
    3. Michael J. Zoratti & A. Simon Pickard & Peep F. M. Stalmeier & Daniel Ollendorf & Andrew Lloyd & Kelvin K W Chan & Don Husereau & John E. Brazier & Murray Krahn & Mitchell Levine & Lehana Thabane & Fe, 2021. "Evaluating the conduct and application of health utility studies: a review of critical appraisal tools and reporting checklists," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(5), pages 723-733, July.
    4. Koonal K. Shah & Bryan Bennett & Andrew Lenny & Louise Longworth & John E. Brazier & Mark Oppe & A. Simon Pickard & James W. Shaw, 2021. "Adapting preference-based utility measures to capture the impact of cancer treatment-related symptoms," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(8), pages 1301-1309, November.
    5. Krishnakumar Thankappan & Tejal Patel & Krishna Kollamparambil Ajithkumar & Deepak Balasubramanian & Manu Raj & Sujha Subramanian & Subramania Iyer, 2022. "Mapping of head and neck cancer patient concerns inventory scores on to Euroqol-Five Dimensions-Five Levels (EQ-5D-5L) health utility scores," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(2), pages 225-235, March.
    6. Turner, Alex J. & Fichera, Eleonora & Sutton, Matt, 2022. "Estimating the late-life effects of social and emotional skills in childhood using midlife mediators," Social Science & Medicine, Elsevier, vol. 292(C).
    7. Stavros Petrou & Oliver Rivero-Arias & Helen Dakin & Louise Longworth & Mark Oppe & Robert Froud & Alastair Gray, 2015. "Preferred Reporting Items for Studies Mapping onto Preference-Based Outcome Measures: The MAPS Statement," Medical Decision Making, , vol. 35(6), pages 1-8, August.
    8. Matthew Franklin & Katherine Payne & Rachel A. Elliott, 2018. "Quantifying the Relationship between Capability and Health in Older People: Can’t Map, Won’t Map," Medical Decision Making, , vol. 38(1), pages 79-94, January.
    9. Admassu N. Lamu, 2020. "Does linear equating improve prediction in mapping? Crosswalking MacNew onto EQ-5D-5L value sets," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(6), pages 903-915, August.
    10. Hwee Lin Wee & Khung Keong Yeo & Kok Joon Chong & Eric Yin Hao Khoo & Yin Bun Cheung, 2018. "Mean Rank, Equipercentile, and Regression Mapping of World Health Organization Quality of Life Brief (WHOQOL-BREF) to EuroQoL 5 Dimensions 5 Levels (EQ-5D-5L) Utilities," Medical Decision Making, , vol. 38(3), pages 319-333, April.
    11. Fan Yang & Carlos K. H. Wong & Nan Luo & James Piercy & Rebecca Moon & James Jackson, 2019. "Mapping the kidney disease quality of life 36-item short form survey (KDQOL-36) to the EQ-5D-3L and the EQ-5D-5L in patients undergoing dialysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(8), pages 1195-1206, November.
    12. Asrul Akmal Shafie & Irwinder Kaur Chhabra & Jacqueline Hui Yi Wong & Noor Syahireen Mohammed, 2021. "Mapping PedsQL™ Generic Core Scales to EQ-5D-3L utility scores in transfusion-dependent thalassemia patients," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(5), pages 735-747, July.

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