Evidence map›Paper›PMID 37420259›Full record

ArticleJournal of health, population, and nutrition2023

Exploring the factors influencing the use of health services by people with diabetes in Northwest China: an example from Gansu Province.

Ying Dang, Yinan Yang, Shuting Cao, Jia Zhang, Xiao Wang, Jie Lu, Qijun Liang, Xiaobin Hu

Open access · goldAbstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2023. 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
0.6field-weighted citation impact, top 31% of its field
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, 2 citations in OpenAlex.

  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

8 authors at 1 institution in 1 country.

Ying Dang *Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China.
Yinan Yang *Department of Pediatric Cardiology, Lanzhou University Second Hospital, Lanzhou, Gansu, China.
Shuting CaoDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China.
Jia ZhangDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China.
Xiao WangDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China.
Jie LuHealth Statistics Information Center of Gansu Province, Lanzhou, Gansu Province, China.
Qijun LiangGansu Medical Insurance Service Centre, Lanzhou, Gansu Province, China. 757718829@qq.com.
Xiaobin HuDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China. lzhuxb@126.com.
Lanzhou University · CN

Funding

A study on accounting of health expenditure in Gansu Province in 2022 2022620005002671a study on the correlation between health service utilization and disease economic risk of diabetes patients in Gansu Province, China 20211008-(21)0555"Health Gansu" construction response of health service changes during the decade of the new medical reform 2019-FWZX-11
6 · The paper itself

Abstract

backgroundDiabetes is associated with high morbidity, mortality and quality-of-life impairment in patients. In China, the number of people suffering from diabetes ranks first in the world. Gansu Province is located in northwest China and is an economically underdeveloped region of China. By analyzing the level of health service utilization of people with diabetes in Gansu Province, the degree of equity in health service utilization and its influencing factors were studied to provide scientific data to support the promotion of health equity for people with diabetes and the introduction of relevant policies by relevant authorities.

methodsA sample of 282 people with diabetes who were 15 years old and above was chosen by multi-stage stratified sampling method. A structured questionnaire survey was conducted via face-to-face interviews. Random forest and logistic regression analysis were used to demonstrate the effects of the explanatory variables on health seeking behaviors from predisposing, enabling and need variables. The concentration index was used to indicate the equity of health service utilization across households of different economic levels.

resultsThe outpatient rate for the diabetic population surveyed was 92.91%, with 99.87% of urban patients, higher than the 90.39% of rural patients. The average number of hospital days per person was 3.18 days, with 5.03 days per person in urban areas, which was higher than the 2.51 days per person in rural areas. The study showed that the factors most likely to influence patients to seek outpatient services were frequency of taking diabetic medication, whether or not they were contracted to a household doctor, and living environment; the top three factors most likely to influence patients with diabetes to seek inpatient services were number of non-communicable chronic disease, self-assessment of health status, medical insurance. The concentration index for outpatient service utilization and inpatient service utilization were - 0.241 and 0.107, respectively, indicating that outpatient services were concentrated on patients at lower income levels and patients at higher income levels tended to favor inpatient services.

conclusionThis study found that the low level of health care resources available to people with diabetes, whose health status is suboptimal, makes it difficult to meet their health needs. Patients' health conditions, comorbidities of people with diabetes, and the level of protection were still important factors that hindered the use of health services. It is necessary to promote the rational use of health services by diabetic patients and further improve the corresponding policies to achieve the goal of chronic disease prevention and control in "Health China 2030".

Indexed as

Delivery of Health CareDiabetes MellitusAdolescentAmbulatory CareChinaHumansPovertyRural PopulationDiabetesHealth service utilizationInfluence factorsRandom forest

Identifiers

PMID37420259
PMCPMC10329301
OpenAlexW4383556693

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.