Evidence map›Paper›PMID 32246218›Full record

ArticleJournal of patient-reported outcomes2020

Development of a multiplicative, multi-attribute utility function and eight single-attribute utility functions for the Health Utilities Index Mark 3 in Japan.

Shinichi Noto, Takeru Shiroiwa, Makoto Kobayashi, Tatsunori Murata, Shunya Ikeda, Takashi Fukuda

Open access · goldAbstract read
In one paragraph

Article in Journal of patient-reported outcomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Valuation survey for SF-6Dv2 in Japan based on the international protocol.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  5. Article
  6. Japanese value set for the EORTC QLU-C10D: A multi-attribute utility instrument based on the EORTC QLQ-C30 cancer-specific quality-of-life questionnaire.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Shinichi NotoDepartment of Rehabilitation, Niigata University of Health and Welfare, 1398 Shimami, Kita-ku, Niigata City, Niigata, Japan. noto@nuhw.ac.jp.
Takeru ShiroiwaCenter for Outcomes Research and Economic Evaluation for Health (C2H), National Institute of Public Health, Wako, Saitama, Japan.
Makoto KobayashiCRECON Medical Assessment Inc., The Pharmaceutical Society of Japan, Nagai Memorial, 12-15 Shibuya 2-chome, Shibuya-ku, Tokyo, 150-0002, Japan.
Tatsunori MurataCRECON Medical Assessment Inc., The Pharmaceutical Society of Japan, Nagai Memorial, 12-15 Shibuya 2-chome, Shibuya-ku, Tokyo, 150-0002, Japan.
Shunya IkedaDepartment of Public Health, School of Medicine, International University of Health and Welfare, 4-3 Kozunomori, Narita, Chiba, 286-8686, Japan.
Takashi FukudaCenter for Outcomes Research and Economic Evaluation for Health (C2H), National Institute of Public Health, Wako, Saitama, Japan.
National Institute of Public Health · JPShibuya (Japan) · JPInternational University of Health and Welfare · JPNiigata University of Health and Welfare · JP

Funding

Ministry of Education, Culture, Sports, Science, and Technology 18H03031Ministry of Health, Labour and Welfare H30-seisaku-shitei-003
6 · The paper itself

Abstract

backgroundThe Health Utilities Index Mark 3 (HUI3) is a generic multi-attribute, preference-based system for assessing health-related quality of life. It is widely used overseas as an outcome measure and for estimating quality-adjusted life years. We aimed to estimate a multi-attribute and eight single-attribute utility functions for the HUI3 system based on community preferences in Japan. We conducted two preference surveys in this study. The first survey was designed to estimate a model of utility function and collect preference scores, and the second survey was designed to evaluate predictive validity of the utility function and provide independent scores. Values obtained from the feeling thermometer and standard gamble scores obtained from using a chance board were included in the preference scale. We recruited 1043 respondents (age: 20-79 years) from five cities in Japan through the general population classified by sex and age groups. Respondents were further randomly divided into a modeling group (n = 774) and a direct group (n = 263).

resultsWe acquired the estimation for eight single-attribute and a global multi-attribute utility function. The minimum expected multi-attribute utility score was - 0.002. The intraclass correlation coefficient between the directly measured utility score and the score generated by multi-attribute function in terms of 53 health conditions was 0.742.

conclusionsThe HUI3 scoring function developed in Japan has a strong theoretical and empirical basis. It will be useful in future to predict the directly measured score of health technology assessments in Japan.

Indexed as

Health-related quality of lifeHealth utilities indexHealth utilities index mark 3Preference-based measureQuality-adjusted life yearStandard gamble

Identifiers

PMID32246218
PMCPMC7125285
OpenAlexW3014306966

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.