Evidence map›Paper›PMID 35844001›Full record

SynthesisPharmacoEconomics2022

China Health Related Outcomes Measures (CHROME): Development of a New Generic Preference-Based Measure for the Chinese Population.

Jing Wu, Xiaoning He, Pinan Chen, Shitong Xie, Xue Li, Hao Hu, Kun Zhao, Feng Xie, CHROME Study Group

Abstract readSystematic Review
In one paragraph

Synthesis in PharmacoEconomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Health utility book: A systematic review and meta-analysis of health utilities in gastric cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Pooled it
  2. Testing culturally relevant EQ-5D-5L bolt-ons for the Chinese general population: first quantitative phase of a mixed methods study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  3. Article
  4. Observational
  5. Identifying and developing culturally relevant EQ-5D-5L bolt-on items for Chinese population: qualitative phase of a mixed-methods study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  6. Article
  7. Review
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

9 authors.

Jing WuSchool of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China.
Xiaoning HeSchool of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China.
Pinan ChenSchool of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China.
Shitong XieSchool of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China.
Xue LiDepartment of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.
Hao HuLiaoning Institute of Basic Medicine, Liaoning, China.
Kun ZhaoVanke School of Public Health, Tsinghua University, Haidian District, Beijing, 100084, China. kunzhao@tsinghua.edu.cn.
Feng XieDepartment of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada. fengxie@mcmaster.ca.ORCID 0000-0003-3454-6266
CHROME Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesExisting generic preference-based measures were all developed in Western countries. Evidence shows that the Chinese population may have different perceptions about health and health-related quality of life. This study aimed at developing a descriptive system of a new generic preference-based measure under the initiative of China Health Related Outcomes Measures (CHROME).

methodsQualitative data were collected through semi-structured interviews conducted in-person or online. Respondents were recruited from both the general public and populations with chronic diseases. Open-ended questions about the respondent's perception of general health and important aspects of health-related quality of life were asked. Probing questions based on a systematic review of existing generic preference-based measures were also used. The framework analysis was used to synthesize the qualitative data. Candidate items for the descriptive system were selected following the ISPOR and COSMIN guidelines. Expert panel review and cognitive debriefings were conducted for further revisions.

resultsQualitative interviews were conducted among 68 respondents, with 48.5% male and a mean age of 47.8 years (range 18-81 years). In total, 1558 codes were identified and then aggregated to 31 sub-themes and corresponding six themes to inform the development of the initial version of the descriptive system. Feedback from the expert panel survey and meeting (n = 15) and the cognitive debriefing interviews (n = 30) was incorporated into the revised version of the measure. Finally, the generic version of CHROME (CHROME-G) included 12 items across six domains, namely, pain, fatigue, appetite, mobility, vision, hearing, sleeping, daily activities, depression, worry, memory, and social interactions. The descriptive system used a mix of four-level and five-level response options and a 7-day recall period.

conclusionsThe CHROME-G is the first generic preference-based measure to be developed based on the inputs from the Chinese populations.

Indexed as

FatigueQuality of LifeAdolescentAdultAgedAged, 80 and overChinaFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung Adult

Identifiers

PMID35844001
PMCPMC9288864

What OpenQuestion holds

Textmetadata
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.