ArticleJournal of medical Internet research2021
Comparison of User-Oriented Information Services on the Websites of Large Hospitals in China and the United States: Cross-sectional Study.
Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed, 6 citations in OpenAlex.
- The impact of digital channels on public health services to enhance city resilience during the public health emergency response in Thailand (2020-2023).BMC health services research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMany people use the internet to access health care information to support health care decisions, and hospital websites can be the first point of contact to provide health care information services for consumers. However, little is known about the current information services provided by the websites of large Chinese hospitals.
objectiveThe aim of this study is to evaluate and compare the information services of the websites of large hospitals in China and the United States. We hope that our findings will benefit hospital managers worldwide in providing service information on the web.
methodsThis study adopted a cross-sectional analytical approach to evaluate the websites of large hospitals in China and the United States in 2020. A total of 300 large hospitals were randomly selected, of which half were in China and half were in the United States. Based on the 7Ps marketing mix, we identified 39 items that represent typical hospital website information services, covering the following seven dimensions: product, price, place, propagation, people, process, and physical evidence.
resultsMost of the items (34/39, 87%) related to information services offered by hospital websites were less covered in China than in the United States; however, 5 items (appointments by a third-party platform, mobile payment, hospital value, hospital environment display, and physicians' profiles) had higher coverage in China. The average scores for hospital websites in China and the United States were 13.25 (SD 2.99) points and 23.16 (SD 2.76) points, respectively. Generally, high scores were given to the south areas of China and north areas of the United States.
conclusionsHospital websites in China lagged behind those in the United States with regard to information services offered. We recommend that hospital managers in China place more emphasis on the people, product, and propagation dimensions of the 7Ps marketing mix in the construction of information services on hospital websites. Through the comparison of the websites of large hospitals in China and the United States, our study findings can provide suggestions for forming standard hospital website construction guidelines worldwide.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.