Documentation scienceplus.abes.fr version Bêta

À propos de : Metrics for monitoring local inequalities in access to maternity care: developing a basket of markers from routinely available data        

AttributsValeurs
type
Is Part Of
Subject
Title
  • Metrics for monitoring local inequalities in access to maternity care: developing a basket of markers from routinely available data
has manifestation of work
related by
Abstract
  • Background. Equal access for all based on need is part of a conceptualisation of quality underpinning recent UK NHS policies. Objective. To develop metrics for access to maternity care from routinely available data in order to inform inequalities monitoring and commissioning. Design. Cross-sectional cohort design using case-note audit and postnatal questionnaire. Setting. London hospital, UK, in an area of relative socio-economic deprivation. Methods. Stage 1: Identification of potential markers. Stage 2: Testing of markers via case note audit and postnatal questionnaire. Stage 3: Selection of final basket of markers of access to maternity services. Results. Of 71 possible markers identified, 32 used information obtainable from maternity case notes. After testing in the case-note audit, 21 were discarded, and 11 included in the final basket covering: timely entry to maternity care; appropriate assessment and identification of needs of individuals; referral and communication with other related health and social care services. Conclusion. It is possible to devise a local basket of markers covering a range of important entry and in-system access metrics. Such a tool offers an unobtrusive means to audit the effectiveness of some of the processes intended to help women move through the maternity and related health and social care systems during pregnancy, and to monitor progress on reducing social inequalities in access over time.
article type
publisher identifier
  • qhc32136
is part of this journal
PubMed ID
  • 20688756



Alternative Linked Data Documents: ODE     Content Formats:       RDF       ODATA       Microdata