ArticleDigital health
The spatial spillover effects of digital transformation on healthcare services quality.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Economic growth and improved material living standards have raised people's expectations for healthcare service quality. The digitalization level of healthcare organizations can significantly impact meeting these expectations. Methods: This study uses Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to calculate the digital transformation and healthcare service quality composite index. Digital transformation and healthcare service quality spatiotemporal evolution are studied using kernel density estimation, spatial Moran's I index and trend surface analysis. Second, the spatial Durbin model explores how digitalization directly impacts healthcare quality. Finally, digital transformation's spatial spillover impacts on healthcare service quality are examined using partial differential decomposition. Results: The digital transformation gap is expanding as areas develop differently. Notwithstanding west-east expansion of digital transformation across China, the centre region demonstrates greatest expansion compared with northern or southern regions. Beijing-Tianjin-Hebei, the eastern coastline region, Sichuan-Chongqing and Guangdong are high-level, whereas the northeast, northwest and Yunnan-Guizhou are low. Healthcare quality has improved annually, although regional gaps have grown. The centre was found to have a greater healthcare gap than the east and west. North exceeds south, with the north-south gap growing in 2021 over 2012. Digital transformation improves local healthcare but degrades neighbouring care. Conclusion: Situated within a digital framework, this research examines how digital transformation might improve the quality of healthcare services and the spatial spillover effects. The results indicate that digital transformation may markedly improve the quality of medical services and have spatial spillover effects. Limitations identified in this study include constraints in research methodologies and modest sample size. Consequently, future studies may refine the provincial sample to the level of prefecture-level cities, employing moderation and mediation effect models to more precisely evaluate the impact mechanism of digital transformation on the quality of medical services.
Indexed as
Identifiers
What Socratic 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 Socratic graph.