Evidence map›Paper›PMID 23029474›Full record

ArticlePloS one2012

Performance comparison among the major healthcare financing systems in six cities of the Pearl River Delta region, mainland China.

Martin C S Wong, Harry H X Wang, Samuel Y S Wong, Xiaolin Wei, Nan Yang, Zhenzhen Zhang, Haitao Li, Yang Gao, Donald K T Li, Jinling Tang and 2 more

Abstract readComparative Study
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. 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

12 authors.

Martin C S WongSchool of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, Hong Kong, Special Administrative Region, People's Republic of China.
Harry H X Wang
Samuel Y S Wong
Xiaolin Wei
Nan Yang
Zhenzhen Zhang
Haitao Li
Yang Gao
Donald K T Li
Jinling Tang
Jiaji Wang
Sian M Griffiths

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe healthcare system of mainland China is undergoing drastic reform and the optimal models for healthcare financing for provision of primary care will need to be identified. This study compared the performance indicators of the community health centres (CHCs) under different healthcare financing systems in the six cities of the Pearl River Delta region.

methodsApproximately 300 hypertensive patients were randomly recruited from the computerized chronic disease management records provided by one CHC in each of the six cities in 2011 using a multi-stage cluster random sampling method. The major outcome measures included the treatment rate of hypertension, defined as prescription of ≥ one antihypertensive agent; and the control rate of hypertension, defined as systolic blood pressure levels <140 mmHg and diastolic blood pressure levels <90 mmHg in patients without diabetes mellitus, or <130/80 mmHg among patients with concomitant diabetes. Binary logistic regression analyses were conducted with these two measures as outcome variables, respectively, controlling for patients' socio-demographic variables. The financing system (Hospital- vs. Government- vs. private-funded) was the independent variable tested for association with the outcomes.

resultsFrom 1,830 patients with an average age of 65.9 years (SD 12.8), the overall treatment and control rates were 75.4% and 20.2%, respectively. When compared with hospital-funded CHCs, patients seen in the Government-funded (adjusted odds ratio [AOR] 0.462, 95% C.I. 0.325-0.656) and private-funded CHCs (AOR 0.031, 95% C.I. 0.019-0.052) were significantly less likely to be prescribed antihypertensive medication. However, the Government-funded CHC was more likely to have optimal BP control (AOR 1.628, 95% C.I. 1.157-2.291) whilst the privately-funded CHC was less likely to achieve BP control (AOR 0.146, 95% C.I. 0.069-0.310), irrespective of whether antihypertensive drugs were prescribed.

conclusionsPrivately-funded CHCs had the lowest rates of BP treatment and control due to a variety of potential factors as discussed.

Indexed as

Healthcare FinancingAgedAntihypertensive AgentsBlood PressureCommunity Health CentersDelivery of Health CareDiabetes MellitusFemaleFinancing, GovernmentHospitals, PrivateHumansHypertensionMaleMiddle AgedPrimary Health CareTreatment OutcomeAntihypertensive Agents

Identifiers

PMID23029474
PMCPMC3460811

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.