Evidence map›Paper›PMID 25914551›Full record

ArticleClinicoEconomics and outcomes research : CEOR2015

Health economic evaluations of medical devices in the People's Republic of China: A systematic literature review.

Rongrong Zhang, Farhang Modaresi, Oleg Borisenko

Abstract read
In one paragraph

Article in ClinicoEconomics and outcomes research : CEOR, 2015. 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

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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

3 authors.

Rongrong ZhangSynergus AB, Stockholm, Sweden.
Farhang ModaresiSynergus AB, Stockholm, Sweden.
Oleg BorisenkoSynergus AB, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of this study is to identify and review the methodological quality of health economic evaluations of medical devices performed in the People's Republic of China. To our knowledge, no such investigations have been performed to date.

methodsA systematic literature review involving searches of Medline, Medline In-Process, the National Health Service Economic Evaluation Database, the Cost-Effectiveness Analysis Registry of the Tufts Medical Center, and the Wanfang Database was performed. The search spanned the period from 1990 to 2013. Studies on health economic evaluations of medical devices, in-vitro diagnostics, procedures, and the use of medical devices in Chinese health care settings were included. Full-text articles and conference abstracts in English and Chinese were included.

resultsFifty-seven publications were included, 26 (46%) of which were in English and 31 (54%) of which were in Chinese. The included publications covered a wide range of clinical areas, such as surgery (n=23, 40%), screening (n=9, 16%), imaging use (n=6, 11%), kidney intervention (n=4, 7%), and nine other technological areas. Most of the studies (n=31, 54%) were cost analyses. Among the others, 13 (50%) studies used modeling, and another 13 (50%) were within-trial evaluations. Among studies that used modeling, eleven (85%) conducted sensitivity analyses, six of which had one-way sensitivity analysis, whereas one conducted both one-way and two-way sensitivity analyses; four of these eleven modeling-based analyses included probabilistic sensitivity analyses. The incremental cost-effectiveness ratio was reported in ten (18%) studies, eight of which were screening studies. The remaining two modeling studies were in areas of imaging and oncology.

conclusionThis study indicates that there are major limitations and deficiencies in the health economic evaluations on medical devices performed in the People's Republic of China. Further efforts are required from different stakeholders - academic, governmental, and privatized - to improve health economic research capacity and to put it to use when informative decisions are made in the health care setting.

Indexed as

cost–consequences analysiscost-effectiveness analysiscost–utility analysishealth economicsmedical devicesPeople’s Republic of China

Identifiers

PMID25914551
PMCPMC4399785

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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.