Evidence map›Paper›PMID 27651200›Full record

ArticleZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2016

[Influencing factors of diabetic patients applying for specific disease health insurance and its treatment cost].

H E Miao, Tang Xiaojun, Long Qian, Wei Jie, Sun Zhenxing, Yang Xuewei, Tang Shenglan

Abstract read
In one paragraph

Article in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

H E MiaoCollaborative Innovation Center of Social Risks Governance in Health, Research Center for Medicine and Social Development, Department of Epidemiology, School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
Tang XiaojunCollaborative Innovation Center of Social Risks Governance in Health, Research Center for Medicine and Social Development, Department of Epidemiology, School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China. tangxiaoj0726@qq.com.
Long QianDuke Global Health Institute, Duke University, Durham North Carolina 27710, USA.
Wei JieCollaborative Innovation Center of Social Risks Governance in Health, Research Center for Medicine and Social Development, Department of Epidemiology, School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
Sun ZhenxingCollaborative Innovation Center of Social Risks Governance in Health, Research Center for Medicine and Social Development, Department of Epidemiology, School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
Yang XueweiCollaborative Innovation Center of Social Risks Governance in Health, Research Center for Medicine and Social Development, Department of Epidemiology, School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
Tang ShenglanDuke Global Health Institute, Duke University, Durham North Carolina 27710, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the treatment costs on type 2 diabetes between patients with and without specific diseases health insurance, and to identify the influencing factors related to specific diseases health insurance application.

methodsA structured questionnaire was used to investigate basic information, diabetes-related pharmacy, outpatient and inpatient treatment costs. SAS9.1 software was used for statistical analysis. The enumeration data was analyzed by using Chi-square test, and variables of statistical difference were bought into Logistic regression model through stepwise method. Continuous variables were represented by median(inter-quartile range)[M(Q)], and were analyzed by using Wilcoxon test.

resultsCompared with patients without specific disease health insurance in outpatient group, patients with specific disease health insurance had higher annual per capita total cost [2160(3081) vs 1000(2100) yuan, P<0.01] and lower out-of-pocket expense ratio [54.04% vs 93.78%, P<0.01]. Patients with middle or high level income (OR=1.94 and 2.11), participated in urban employee basic medical insurance (OR=4.19) and duration of disease >5 years (OR=2.04) were more likely to succeed in specific diseases health insurance application.

conclusionTo reduce the financial burden of patients with type 2 diabetes, government should make huge efforts to promote specific disease health insurance policies, and encourage patients to apply for it. Meanwhile, medical insurance department and medical institutions should reinforce supervision and simplify the application process. To improve the availability of specific disease health insurance, the number and coverage of designated retail pharmacies should be increased. Besides, government should pay more attention to low-income patients and those with short duration diabetes, so as to enhance their ability to resist economic risks and reflect the fairness of specific disease health insurance.

Indexed as

Health Care CostsInsurance, HealthDiabetes Mellitus, Type 2HospitalizationHumansInsurance CoverageLogistic ModelsRetrospective Studies

Identifiers

PMID27651200
PMCPMC10396895

What Socratic holds

Textmetadata
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 Socratic graph.