Evidence map›Paper›PMID 31001734›Full record

ArticleHealth care management science2020

Identifying the contribution to hospital performance among Chinese regions by an aggregate directional distance function.

Zhiyang Shen, Vivian Valdmanis

Abstract read
PubMed Publisher
In one paragraph

Article in Health care management science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

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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

2 authors at 2 institutions in 2 countries.

Zhiyang ShenAnhui University of Finance & Economics, 962 CaoShan RD, Bengbu, 233030, China.
Vivian ValdmanisWestern Michigan University, Grand Rapids, MI, 49503, USA. vivianvaldmanis@gmail.com.
Anhui University of Finance and Economics · CNWestern Michigan University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we examine efficiency and total factor productivity for hospitals operating in China between the years of 2009-2016. Given reforms in China focusing on the hospital sector, it has been demonstrated that efficiency and productivity are important in meeting the overall objective of meeting more accessibility to hospital care for the population. Measuring an aggregate directional distance function is in itself a non-parametric approach, we report on the decomposition of hospital performance and found that between 2009 and 2010, technical inefficiency (using resources inefficiently) dominated overall inefficiency but beyond 2011-2016, mix inefficiency (misallocation of resources) was higher. Furthermore, an additive total factor productivity (TFP) indicator is proposed to capture contributions of individual provincial (or group) hospital performance to the total productivity gain. We also report that mix inefficiency had growth throughout this time period indicating a catching up in the correct mix of inputs. This finding is worth following as hospital reform in China also focuses on utilizing the right labor and capital mix in producing efficient care.

Indexed as

ChinaEconomics, HospitalEfficiency, OrganizationalHealth Care ReformHospitals, PublicHumansResource AllocationAdditive Total factor productivityAggregate directional distance functionChina hospital productivityChina hospitals

Identifiers

PMID31001734
OpenAlexW2936077110

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.