Evidence map›Paper›PMID 35433962›Full record

ArticleAnnals of translational medicine2022

The choice of medical facility and associated factors among Chinese advanced colorectal cancer patients: a cross-sectional multi-center study.

Xiao-Yang Wang, Wen-Jun Wang, Yu-Qian Zhao, Yin Liu, Xiao-Hui Wang, Ling-Bin Du, Shuang-Xia Duan, Xi Zhang, Yan-Qin Yu, Li Ma and 12 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. 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
0.4field-weighted citation impact, top 38% 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, 4 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

22 authors at 11 institutions in 1 country.

Xiao-Yang Wang *Department of Cancer Epidemiology, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China.
Wen-Jun Wang *School of Nursing, Jining Medical University, Jining, China.
Yu-Qian ZhaoSichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Yin LiuDepartment of Cancer Epidemiology, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China.
Xiao-Hui WangDepartment of Public Health, Gansu Provincial Cancer Hospital, Lanzhou, China.
Ling-Bin DuDepartment of Cancer Prevention, The Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China.
Shuang-Xia DuanDepartment of Preventive Health, Xinxiang Central Hospital, Xinxiang, China.
Xi ZhangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing, China.
Yan-Qin YuThe Clinical Epidemiology of Research Center, Department of Public Health and Preventive Medicine, Baotou Medical College, Baotou, China.
Li MaPublic Health School, Dalian Medical University, Dalian, China.
Yun-Yong LiuLiaoning Office for Cancer Control and Research, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China.
Juan-Xiu HuangDepartment of Gastroenterology, Wuzhou Red Cross Hospital, Wuzhou, China.
Ji CaoDepartment of Cancer Prevention and Control Office, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Li LiDepartment of Clinical Research, The First Affiliated Hospital, Jinan University, Guangzhou, China.
Xiao-Fen GuDepartment of Student Affairs, Affiliated Tumor Hospital, Xinjiang Medical University, Ürümqi, China.
Yan-Ping FanState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Chang-Yan FengChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China.
Xue-Mei LianSchool of Public Health and Management, Chongqing Medical University, Chongqing, China.
Jing-Chang DuSchool of Public Health, Chengdu Medical College, Chengdu, China.
Jian-Gong ZhangDepartment of Cancer Epidemiology, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China.
You-Lin QiaoDepartment of Cancer Epidemiology, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China.
China Working Group on Colorectal Cancer Survey
Zhengzhou University · CNChengdu Medical College · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNDalian Medical University · CNGuangxi Medical University · CNPeking University · CNUniversity of Electronic Science and Technology of China · CNXinjiang Medical University · CNChongqing University · CNSun Yat-sen University · CNZhejiang Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Colorectal cancer (CRC) poses a significant public health burden worldwide. The investigation of the choice of medical facility among CRC patients is helpful for understanding access to health services and improving quality of oncology services to optimize health outcomes. However, there are limited studies on the topic. The objective of this study was to investigate the choice of medical facility and its associated factors among advanced CRC patients. Methods: This cross-sectional multi-center study included a total of 4,589 individuals with advanced CRC from 19 hospitals in 7 geographic regions in China. Participants were recruited by multi-stage stratified sampling. In the first stage, two cities in each geographic region were selected through simple random sampling. In the second stage, one tertiary cancer hospital and/or one general hospital were selected in each city. Data on medical experience and demographics were collected via a questionnaire during face-to-face interviews. Explanatory variables were selected based on the Andersen behavioral model. Multinomial logistic regression analyses were performed to explore the factors associated with the level of medical facility for the first treatment. Results: Hospitals at the prefecture level were the most common medical facility sought by advanced CRC patients for initial medical care (44.9%), the first definite diagnosis (46.3%), the first treatment (39.5%), and regular follow-up (38.9%). However, the first priority was changed to hospitals at the national level for the second treatment (38.0%) and after recurrence and metastasis (45.9%). Female {odds ratios (ORs) ranged from 1.31 [95% confidence interval (CI): 1.01-1.71] to 1.41 (95% CI: 1.07-1.87)} and relatively well-educated individuals [ORs ranged from 1.74 (95% CI: 1.20-2.53) to 7.26 (95% CI: 4.18-12.60)] preferred to seek higher-level health facilities. Individuals with metastatic CRC at diagnosis were more likely to visit hospitals in provincial capitals versus hospitals at the county level (OR =1.68, 95% CI: 1.27-2.22). Individuals with "good" health-related quality of life (HRQOL) (OR =0.63, 95% CI: 0.49-0.81) were less likely to seek hospitals at the prefecture level compared with hospitals at the county level. Conclusions: There is a need to improve the oncology services for CRC patients, including the optimization of referral reform policy and the promotion of quality of primary healthcare service. The results may provide evidence to fill the policy-implementation gap and potentially contribute to the improvement of the efficiency of the healthcare system.

Indexed as

associated factorsColorectal cancer (CRC)healthcare seekingmedical facility

Identifiers

PMID35433962
PMCPMC9011249
OpenAlexW4224268896

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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.