Evidence map›Paper›PMID 42699262›Full record

ArticlePatient preference and adherence2026

Developing Attributes and Levels for a Discrete Choice Experiment on Internet Hospital Service Preferences Among Chinese Patients with Chronic Diseases: A Mixed-Methods Study.

Yichun Gu, Dan Qin, Xin Yang, Wenxing Dong, Botao Tian, Siyu Ding, Ruixiang Li, Yan Bai, Da He

Abstract read
In one paragraph

Article in Patient preference and adherence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yichun GuShanghai Health Development Research Center (Shanghai Medical Information Center), Shanghai, People's Republic of China.
Dan QinShanghai Health Development Research Center (Shanghai Medical Information Center), Shanghai, People's Republic of China.ORCID 0009-0007-2835-3149
Xin YangSchool of Pharmaceutical Sciences and Yunnan Provincial Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, Yunnan, People's Republic of China.
Wenxing DongDemonstration Center of Military Medical Logistics, School of Pharmacy, Naval Medical University, Shanghai, People's Republic of China.
Botao TianSchool of Public Administration, Central South University, Changsha, Hunan, People's Republic of China.ORCID 0009-0009-3195-3297
Siyu DingSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, People's Republic of China.
Ruixiang LiSchool of Foreign Affairs and Law, Gansu University of Political Science and Law, Lanzhou, Gansu, People's Republic of China.ORCID 0009-0008-3737-6438
Yan BaiCollege of Arts and Science, Zhongshan Hospital of Fudan University, Shanghai, People's Republic of China.
Da HeShanghai Health Development Research Center (Shanghai Medical Information Center), Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Internet hospitals are increasingly used to support chronic disease care in China. Although previous research has examined online healthcare preferences, evidence on the systematic development of context-specific attributes and levels for Chinese patients with chronic diseases remains limited. Objective: This study aimed to develop candidate attributes and levels for a future discrete choice experiment (DCE) on Internet hospital preferences among Chinese patients with chronic diseases. Methods: A mixed-methods approach was applied to systematically develop the relevant attributes and levels. Potential attributes were first identified through a systematic literature review. Next, qualitative interviews with 24 patients with chronic diseases were conducted to elicit contextual attributes. These attributes were then evaluated by 12 experts, and the expert ranking method was applied to prioritize the most relevant ones. Finally, the attributes and levels were determined in accordance with the established principles for developing DCE attributes and levels. Results: The literature review included 11 studies and generated 34 potential attributes. Patient interviews identified 29 candidate attributes across four dimensions: platform and institutional characteristics, physician service quality, specific services, and drug delivery and related costs. After expert consultation and ranking, seven candidate attributes with 18 levels were retained for a future DCE: out-of-pocket cost, ease of use, physician's professional title, mode of consultation, upload of self-monitoring data and automatic alerts for abnormal readings, access to electronic medical records and test results, and patient ratings. Conclusion: This study developed a preliminary attribute-level framework for a future DCE. The framework provides a structured basis for pilot testing and subsequent preference elicitation, and may inform patient-centered Internet hospital service design after further validation.

Indexed as

attribute and level developmentDCEdiscrete choice experimentinternet hospitalpatients with chronic diseases

Identifiers

PMID42699262
PMCPMC13544151

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.