Search PubMed⌕ Search
Home/Archive/PubMed

PubMed · 10163678

Quality in obstetrics using a telematic system.

P Sarmento·A Justiça·P Sousa·P Trigueiros·M Areias·C Flora·C Silva·J Batista
View original source ↗Export metadata ↓

Abstract

A telematic based system for antenatal care has been developed to be used in service integration between primary and secondary health care units. The system is based on low cost platforms and has a user friendly human computer interface. This system will provide better integration and coordination between the health care providers involved, improving the quality of the services. This experiment is being funded in the framework of the EC.Project-A 2007-EPIC. Quality indicators, agreed in the "European concensus conference of quality indicators for perinatal care", organized in conjunction with OBSQID project (AIM.2125) were integrated in the system. Data collection has started and the outcome will be used to validate the indicators on a transeuropean basis under the framework of the OBSQID Project.

Explore related subjects

Data CollectionFemaleHumansInfant, NewbornMedical Informatics ApplicationsMedical Records Systems, ComputerizedOutcome Assessment, Health CarePerinatal CarePortugalPregnancyQuality Assurance, Health CareJournal Article

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

P Sarmento, A Justiça, P Sousa, P Trigueiros, M Areias, C Flora, C Silva, J Batista. 1994. Quality in obstetrics using a telematic system.. https://pubmed.ncbi.nlm.nih.gov/10163678/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2007

Probability estimation when some observations are grouped.

This paper considers the use of additional questions for decreasing survey non-response rates and an approach for estimating a probability based on the results obtained. In a survey, the respondents are asked to answer an original question and follow-up questions, where the answers for the follow-up questions are grouped answers for the original question. For example, respondents are asked to provide an exact number of incidents, but in cases of 'Do not know' or 'Refuse' responses, they are subsequently asked to pick an answer from a less specific categorical scale. The new estimator obtains smaller variance asymptotically and does not depend on a distribution family. This method is applied to income questions in a survey regarding injury prevention and behaviours. Another application is survey data on intimate partner violence, where some amendments were applied for incorporating post-stratification weights and for using non-random grouping. For additional illustration, an example of parameter estimation on artificially generated data is presented.

Data Collection↗