Evidence map›Paper›PMID 35361252›Full record

ArticleReproductive health2022

The technical efficiency of maternal and child health hospitals in China: a case study of Hubei Province.

Dongdong Jiang, Xinliang Liu, Yan Chen, Jinwei Hao, Hao Huang, Qian Huang, Qinghua Chen, Quan Wang, Hao Li

Abstract read
In one paragraph

Article in Reproductive health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

9 authors.

Dongdong Jiang *School of Public Health/Global Health Institute, Wuhan University, Wuhan, China.
Xinliang Liu *School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Yan ChenSchool of Public Health/Global Health Institute, Wuhan University, Wuhan, China.
Jinwei HaoSchool of Public Health/Global Health Institute, Wuhan University, Wuhan, China.
Hao HuangSchool of Public Health/Global Health Institute, Wuhan University, Wuhan, China.
Qian HuangSchool of Public Health/Global Health Institute, Wuhan University, Wuhan, China.
Qinghua ChenDepartment of Maternal and Child Health, Health Commission of Hubei Province, Wuhan, China.
Quan WangSchool of Public Health/Global Health Institute, Wuhan University, Wuhan, China. wangquan73@whu.edu.cn.
Hao LiSchool of Public Health/Global Health Institute, Wuhan University, Wuhan, China. h.li@whu.edu.cn.

Funding

Health and Family Planning Commission of Hubei Province WJ2017Q003
6 · The paper itself

Abstract

backgroundMaternal and child health (MCH) hospitals play an essential role in providing MCH services in China, while the supply has become increasingly challenging in the past decade, especially among secondary MCH hospitals. In this study we aimed to evaluate the technical efficiency (TE) of secondary MCH hospitals in Hubei province (China) to generate evidence-based decision-making for efficiency improvement.

methodsThe data were collected from the Department of Maternal and Child Health of Health Commission of Hubei Province in 2019. A total of 59 out of 74 secondary MCH hospitals were included as our study sample. Four input indicators (number of health professionals, number of beds, number of equipment with value greater than 10,000 RMB Yuan, building area for hospital operations) and three output indicators (number of total diagnostic patients, number of discharged patients, and number of birth deliveries) were selected based on previous literature. TE scores of the sample hospitals were estimated by using Bootstrap-Data Envelopment Analysis (Bootstrap-DEA).

resultsAfter bias-correction with Bootstrap-DEA model, the average TE score of the MCH hospitals was 0.673. 20 (33.89%) MCH hospitals had TE scores below the average. No MCH hospitals achieved excellent efficiency; 16 (27.11%) MCH hospitals reached good efficiency; and 26 (44.06%) MCH hospitals fell into poor and failing efficiency. Besides, 17 MCH hospitals had TE scores of 1 before bias-corrections, while none of them reached 1 after bias correction.

conclusionsSignificant capacity variations existed among the secondary MCH hospitals in terms of input and output indicators and their overall TE was low in Hubei of China. For better improvement, the secondary MCH hospitals in Hubei need to improve their internal management and strengthen the construction of their information systems. A series of policy supports are needed from the health and insurance administrations to optimize health resources. Third-party performance evaluation can be piloted to improve efficiency and overall performance of the MCH hospitals. The policy recommendations we raise for MCH hospitals in Hubei can be worth learning for some low- and middle- income countries.

Indexed as

Child HealthEfficiency, OrganizationalChildChinaHealth ResourcesHospitalsHumansBootstrap-Data Envelopment AnalysisResource allocationSecondary maternal and child health hospitalsTechnical efficiency

Identifiers

PMID35361252
PMCPMC8973823

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.