ArticleJournal of healthcare engineering2019
Role of Usual Healthcare Combined with Telemedicine in the Management of High-Risk Pregnancy in Hangzhou, China.
Article in Journal of healthcare engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed, 60 citations in OpenAlex.
- Maternal Well-Being and Stage of Behaviour Change during Pregnancy: A Secondary Analysis of the PEARS Randomised Controlled Trial.International journal of environmental research and public health · 2022Trial
- Tele-medicine and its impact on academic medical centers: A narrative review.Journal of family medicine and primary care · 2024Review
- Motivating and inhibiting factors influencing the application of mhealth technology in post-abortion care: a review study.BMC pregnancy and childbirth · 2024Review
- Telehealth in antenatal care: recent insights and advances.BMC medicine · 2023Review
- The use and role of telemedicine in maternal fetal medicine around the world: an up-to-date.Health and technology · 2023Review
- Technology-Based (Mhealth) and Standard/Traditional Maternal Care for Pregnant Woman: A Systematic Literature Review.Healthcare (Basel, Switzerland) · 2022Review
- Human-In-The-Loop application design for early detection of pregnancy danger signs.Belitung nursing journal · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Maternal health is an important part of basic public health services in China's medical reform. Effective management is an important guarantee of maternal health. Telemedicine has been widely used in maternal health management. Objective: This study explores the role of usual healthcare combined with telemedicine in the management of high-risk pregnancy. Methods: The study was a retrospective. Data were obtained from Hangzhou Maternity Hospital between October 2012 and September 2016, including 93465 pregnant women who were in usual high-risk pregnancy management (usual group) and 134884 pregnant women who were in telemedicine combined with usual high-risk pregnancy management (telemedicine group). The differences in high-risk scores and pregnancy outcomes between the usual and the telemedicine groups were compared. Results: The high-risk factors were analyzed, and the results showed that the first fixed high-risk factor was scar uterus and the first dynamic high-risk factor was hepatitis B. Comparing the data of two groups, the number of prenatal visits increased significantly in the telemedicine group ( Conclusion: The combination of telemedicine and usual healthcare can urge the pregnant women to carry out antenatal visits on time, which is one of the important factors to improve the outcome of high-risk pregnancy.
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.