Evidence map›Paper›PMID 36729295›Full record

ArticlePharmacoEconomics2023

Identifying Attributes for a Value Assessment Framework in China: A Qualitative Study.

Mengmeng Zhang, Yun Bao, Yi Yang, Melissa Kimber, Mitchell Levine, Feng Xie

Abstract read
In one paragraph

Article in PharmacoEconomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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.

Mengmeng ZhangDepartment of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.
Yun BaoInstitute of Clinical Research and Evidence-Based Medicine, Gansu Provincial Hospital, Lanzhou, Gansu, China.
Yi YangKey Lab of Health Technology Assessment, National Health Commission, Fudan University, Shanghai, China.
Melissa KimberDepartment of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.
Mitchell LevineDepartment of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.
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

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundValue assessment frameworks (VAFs) are promising tools for measuring the value of health technologies and informing coverage policymaking; however, most published VAFs were developed for high-income countries. This study aimed to identify value attributes as part of the development of a VAF in China.

methodsWe used the qualitative description approach. Specifically, we conducted open-ended semi-structured interviews with Chinese stakeholders, as well as a review and analysis of publicly available government documents related to health technology assessment (HTA) and coverage policies in China. Conventional content analysis and the constant comparison technique were used to generate value attributes. Multiple criteria were used to determine the inclusion of a value attribute, with response levels of included attributes finalized via consensus meetings among the research team.

resultsThirty-four stakeholders living or working in China completed the semi-structured interview. These stakeholders included policymakers (n = 4), healthcare providers (n = 8), HTA researchers (n = 6), patients and members of the general public (n = 9), and industry representatives (n = 7). In addition, 16 government documents were included for analysis. Twelve value attributes grouped in eight categories are included in the VAF: (1) severity of disease; (2) health benefit, including survival, clinical outcomes, and patient-reported outcomes; (3) safety; (4) economic impact, including budget impact to payer and patients, and cost effectiveness; (5) innovation; (6) organizational impact; (7) health equity; and (8) quality of evidence.

conclusionThese 12 value attributes were identified for the development of a VAF to support health technologies' value assessment and coverage policymaking in China.

Indexed as

Policy MakingTechnology Assessment, BiomedicalChinaConsensusHumansQualitative Research

Identifiers

PMID36729295
PMCPMC9893981

What OpenQuestion holds

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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.