Evidence map›Paper›PMID 31581953›Full record

ArticleInfectious diseases of poverty2019

Utilization and expenses of outpatient services among tuberculosis patients in three Chinese counties: an observational comparison study.

Xuan-Xuan Wang, Jia-Ying Chen, Hui Jiang, An-Na Zhu, Qian Long, John S Ji

Abstract read
In one paragraph

Article in Infectious diseases of poverty, 2019. 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

6 authors.

Xuan-Xuan WangSchool of Health Policy and Management, Nanjing Medical University, No. 101 Longmian Avenue, Nanjing, 211166, Jiangsu Province, China.
Jia-Ying ChenCenter for Health Policy Studies, Nanjing Medical University, No. 101 Longmian Avenue, Nanjing, 211166, Jiangsu Province, China. jychen@njmu.edu.cn.
Hui JiangZhenjiang Center for Disease Control and Prevention, No. 9 Huangshan South Road, Zhenjiang, 212004, Jiangsu Province, China.
An-Na ZhuEnvironmental Research Center, Duke Kunshan University, No. 8 Duke Avenue, Kunshan, 215316, Jiangsu Province, China.
Qian LongGlobal Health Research Center, Duke Kunshan University, No. 8 Duke Avenue, Kunshan, 215316, Jiangsu Province, China.
John S JiEnvironmental Research Center, Duke Kunshan University, No. 8 Duke Avenue, Kunshan, 215316, Jiangsu Province, China.

Funding

Bill & Melinda Gates Foundation OPP51914
6 · The paper itself

Abstract

backgroundThe China-Gates TB project Phase II implemented case-based payment reform in three Chinese counties in 2014, designed specifically for patients diagnosed with Tuberculosis (TB). This study aimed to examine the changes in utilization and expenses of outpatient services before and after the reform implementation, among TB patients in the three counties in China.

methodsWe collected quantitative data using surveys in 2013 (baseline year) and 2015 (final year). We used outpatient hospital records to measure service utilization and medical expenses of TB patients. We conducted qualitative interviews with local health authorities, officers of health insurance agencies, and hospital managers (n = 18). We utilized three focus group discussions with hospital staff and TB doctors and nurses. The χ

resultsDantu and Yangzhong counties enacted TB-specific case-based payment method in 2014. Jurong County maintained global budget payment but raised the reimbursement rate for TB care. Compared to the baseline, the percentage of TB patients in Dantu and Yangzhong with eight or above outpatient visits increased from 7.5 to 55.1% and from 22.1 to 53.1% in the final survey, respectively. Jurong experienced the opposite trend, decreasing from 63.0 to 9.8%. In the final survey, the total outpatient expenses per patient during a full treatment course in Dantu (RMB 2939.7) and Yangzhong (RMB 2520.6) were significantly higher than those in the baseline (RMB 690.4 and RMB 1001.5, respectively), while the total outpatient expenses in Jurong decreased significantly (RMB 1976.0 in the baseline and RMB 660.8 in the final survey). Health insurance agencies in Dantu and Yangzhong did not approve the original design with outpatient and inpatient expenses packaged together, revealed by qualitative interviews. Furthermore, staff at designated hospitals misunderstood that health insurance agencies would only reimburse actual expenses. Many TB doctors complained about their reduced salary, which might be due to decreased hospital revenue generated from TB care after the payment method reform.

conclusionsThe intended effect on cost containment of case-based payment was not evident in Dantu and Yangzhong. In Jurong, where the global budget payment system maintained with the reimbursement rate enhanced, we found an effect on cost containment, but the quality of TB care might be compromised. The TB-specific case-based payment method could be redesigned to combine payment on outpatient and inpatient expenses and to set an appropriate payment standard for TB care during a full treatment course. Local health insurance agencies have to provide explicit explanations on the payment method. TB care providers should be provided with proper incentives. Monitoring and evluaiton on the quality of TB care should be undertaken at regular intervals.

Indexed as

AdultAgedAmbulatory CareChinaFemaleHealth Care ReformHumansMaleMiddle AgedOutpatientsReimbursement MechanismsTuberculosisCase-based paymentGlobal budget paymentOutpatient care expensesOutpatient servicesTuberculosis

Identifiers

PMID31581953
PMCPMC6777024

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.