Evidence map›Paper›PMID 34401322›Full record

ArticleIntegrative medicine research2022

Health technology assessment and economic evaluation: Is it applicable for the traditional medicine?

Yingyao Chen

Abstract readEditorial
In one paragraph

Article in Integrative medicine research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Regulatory and HTA framework for herbal medicines in Indonesia.Journal of pharmaceutical policy and practice · 2026
    Review
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  10. Theranostics in nuclear medicine: the era of precision oncology.Medical oncology (Northwood, London, England) · 2025
    Review
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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

1 author.

Yingyao ChenSchool of Public Health, Fudan University,138, Yi Xue Yuan Road, Shanghai, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gaps between limited health resources and expanding health service demands are emerging to be more and more prominent, which extremely generate the cost-effective strategies for scientific policy-making in the context of healthcare. As a systematic approach and solid tool to promote healthcare system more efficient and sustainable, health technology assessment (HTA) could provide multi-dimensional evidences comprising effectiveness, safety, economic implications, ethical, social, cultural and legal issues, in which economic evaluation is an important and unique part for optimizing decision-making. After decades of development, HTA has formulated a set of systematic theories, methods and procedures based on modern medicine. Meanwhile, as an important component of medicine system across the world, traditional medicine (TM) originates from knowledge, skill, and practices based on the theories, beliefs, and experiences indigenous to different traditional cultures. Yet whether current theory and method system of HTA is applicable for TM is necessary to be explored and investigated. In principle, the general steps and methods of HTA could be basically applicable to TM, except for the PICO structuring, cost measurement, and supportive clinical evidence and information collection in economic evaluation. Therefore, these three challenging problems need to be focused and addressed in future HTA for TM.

Indexed as

ApplicabilityEconomic evaluationHealth technology assessmentTraditional medicine

Identifiers

PMID34401322
PMCPMC8358415

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.