Evidence map›Paper›PMID 28373749›Full record

ArticleChinese journal of cancer research = Chung-kuo yen cheng yen chiu2017

Influencing factors of inpatient expenditure pattern for cancer in China, 2015.

Lan Lan, Yue Cai, Tao Zhang, Ruixian Wu, Ming Xue, Qun Meng

Abstract read
In one paragraph

Article in Chinese journal of cancer research = Chung-kuo yen cheng yen chiu, 2017. 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
–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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Expenditure of hospital care on cancer in China, from 2011 to 2015.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2017
    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.

Lan LanWest China School of Public Health, Sichuan University, Chengdu 610041, China.
Yue CaiCenter for Health Statistics and Information, National Health and Family Planning Commission, Beijing 100032, China.
Tao ZhangWest China School of Public Health, Sichuan University, Chengdu 610041, China.
Ruixian WuCenter for Health Statistics and Information, National Health and Family Planning Commission, Beijing 100032, China.
Ming XueCenter for Health Statistics and Information, National Health and Family Planning Commission, Beijing 100032, China.
Qun MengWest China School of Public Health, Sichuan University, Chengdu 610041, China; Center for Health Statistics and Information, National Health and Family Planning Commission, Beijing 100032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe analyzed the proportion of cancer-caused hospitalization expenses in total hospitalization expenses from national authoritative data and explored influencing factors of the proportion so as to provide effective data information for more rational utilization of health resources.

methodsTwo-level lineal regression model was used to explore influencing factors of ratios of the cancer inpatient expenditure over the total inpatient expenditure of hospitals in China in 2015. A total of 40.76 million inpatient medical records were used to generate the outcome variables, while the explanatory variables were from hospital information database and China Health and Family Planning Statistical Yearbook and literatures.

resultsInpatient expenditure pattern for cancer (IEPC) varied largely across provinces, ranging from 3.03% to 19.61%. The major sources of variability were from the differences of hospital level and number of beds. There was homogeneity within a province, while heterogeneity between the provinces. Rising one level of the hospital led to the increase of 0.475 natural logarithm units of IEPC averagely. The number of beds increasing 1,000 each made the natural logarithm of IEPC increase one unit averagely.

conclusionsOur study showed that a considerable proportion of IEPC variation could be explained by the differences of hospital level and number of beds. It implied that it is possible to estimate disease-specific ratio of inpatient expense taking into account key influencing factors in China. Furthermore, this study is an input to economic and financial analyses and provides evidence for future study on the national economic burden of cancer.

Indexed as

CancerChinaexpenditure patternmultilevel

Identifiers

PMID28373749
PMCPMC5348471

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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.