Evidence map›Paper›PMID 36901462›Full record

ArticleInternational journal of environmental research and public health2023

Technical Efficiency Evaluation of Primary Health Care Institutions in Shenzhen, China, and Its Policy Implications under the COVID-19 Pandemic.

Shujuan Chen, Yue Li, Yi Zheng, Binglun Wu, Ronita Bardhan, Liqun Wu

Open access · goldFull text read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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 at 2 institutions in 2 countries.

Shujuan ChenShenzhen Health Development Research and Data Management Center, Shenzhen 518028, China.ORCID 0000-0001-6829-6547
Yue LiShenzhen Health Development Research and Data Management Center, Shenzhen 518028, China.ORCID 0000-0002-0947-5374
Yi ZhengShenzhen Health Development Research and Data Management Center, Shenzhen 518028, China.
Binglun WuDepartment of Structural Reform and Primary Health Care, Shenzhen Municipal Health Commission, Shenzhen 518031, China.
Ronita BardhanDepartment of Architecture, University of Cambridge, Cambridge CB2 1PX, UK.ORCID 0000-0001-5336-4084
Liqun WuShenzhen Health Development Research and Data Management Center, Shenzhen 518028, China.
University of Cambridge · GBShenzhen Municipal People's Government · CN

Funding

Health Economics Association of Guangdong Province; 2020 Youth Fund of Shenzhen Health Development Research Center 2020-WJMZ-13
6 · The paper itself

Abstract

(1) Background: Primary health care institutions (PHCI) play an important role in reducing health inequities and achieving universal health coverage. However, despite the increasing inputs of healthcare resources in China, the proportion of patient visits in PHCI keeps declining. In 2020, the advent of the COVID-19 pandemic further exerted a severe stress on the operation of PHCI due to administrative orders. This study aims to evaluate the efficiency change in PHCI and provide policy recommendations for the transformation of PHCI in the post-pandemic era. (2) Methods: Data envelope analysis (DEA) and the Malmquist index model were applied to estimate the technical efficiency of PHCI in Shenzhen, China, from 2016 to 2020. The Tobit regression model was then used to analyze the influencing factors of efficiency of PHCI. (3) Results: The results of our analysis reflect considerable low levels of technical efficiency, pure technical efficiency, and scale efficiency of PHCI in Shenzhen, China, in 2017 and 2020. Compared to years before the epidemic, the productivity of PHCI decreased by 24.6% in 2020, which reached the nadir, during the COVID-19 pandemic along with the considerable reduction of technological efficiency, despite the significant inputs of health personnel and volume of health services. The growth of technical efficiency of PHCI is significantly affected by the revenue from operation, percentage of doctors and nurses in health technicians, ratio of doctors and nurses, service population, proportion of children in the service population, and numbers of PHCI within one kilometer. (4) Conclusion: The technical efficiency significantly declines along with the COVID-19 outbreak in Shenzhen, China, with the deterioration of underlying technical efficiency change and technological efficiency change, regardless of the immense inputs of health resources. Transformation of PHCI such as adopting tele-health technologies to maximize primary care delivery is needed to optimize utilization of health resource inputs. This study brings insights to improve the performances of PHCI in China in response to the current epidemiologic transition and future epidemic outbreaks more effectively, and to promote the national strategy of Healthy China 2030.

Indexed as

COVID-19Efficiency, OrganizationalChildChinaEfficiencyFemaleHumansPandemicsPolicyPrimary Health CareCOVID-19data envelopment analysisMalmquist index modelprimary health careTobit regression

Identifiers

PMID36901462
PMCPMC10001471
OpenAlexW4322770301

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read2
measurements read15
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.