title: Predictors of skilled attendance at delivery among antenatal clinic attendants in Ghana: a cross-sectional study of population data.
abstract: OBJECTIVE
  To identify demographic, maternal and community predictors of skilled attendance at delivery among women who attend antenatal clinic at least once during their pregnancy in Ghana.
  
  
  METHODS
  A cross-sectional study using the 2008 Ghana Demographic and Health Survey (DHS) data. We used frequencies for descriptive analysis, χ(2) test for associations and logistic regression to identify significant predictors. Predictive models were built with estimation of area under the receiver operating characteristic curves (AUC).
  
  
  METHODS
  Ghana.
  
  
  METHODS
  A total of 2041 women who had a live birth in the 5 years preceding the survey, and attended an antenatal clinic having a skilled provider, at least once, during the pregnancy.
  
  
  RESULTS
  Skilled attendance at delivery.
  
  
  RESULTS
  Overall, 60.5% (1235/2041) of women in our study sample reported skilled attendance at delivery. Significant positive associations existed between skilled attendance at delivery and the variables such as maternal educational level, wealth status class, ever use of contraception, previous pregnancy complications and health insurance coverage (p<0.001). Significant predictors of skilled attendance were wealth status class, residency, previous delivery complication, health insurance coverage and religion in a model with AUC (95% CI) of 0.85 (0.83 to 0.88).
  
  
  CONCLUSIONS
  Women less likely to have skilled attendance at delivery can be identified during antenatal care by using data on wealth status class, health insurance coverage, residence, history of previous birth complications and religion, and targeted with interventions to improve skilled attendance at delivery.
authors.affiliation: Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands School of Public Health, University of Ghana, Legon, Ghana.
authors.forename: Mary
authors.initials: M
authors.lastname: Amoakoh-Coleman
authors.affiliation: Research and Development Division, Ghana Health Service, Accra, Ghana.
authors.forename: Evelyn K
authors.initials: EK
authors.lastname: Ansah
authors.affiliation: Department of Health Policy Planning and Management, School of Public Health, University of Ghana, Legon, Ghana.
authors.forename: Irene Akua
authors.initials: IA
authors.lastname: Agyepong
authors.affiliation: Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands.
authors.forename: Diederick E
authors.initials: DE
authors.lastname: Grobbee
authors.affiliation: Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands.
authors.forename: Gbenga A
authors.initials: GA
authors.lastname: Kayode
authors.affiliation: Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands Faculty of Health Sciences, Division of Epidemiology & Biostatistics, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
authors.forename: Kerstin
authors.initials: K
authors.lastname: Klipstein-Grobusch
mesh_terms: D000293:Adolescent; D000328:Adult; D000554:Ambulatory Care Facilities / Q000706:statistics & numerical data; D003430:Cross-Sectional Studies; D036861:Delivery, Obstetric / Q000706:statistics & numerical data*; D004522:Educational Status; D005260:Female; D005869:Ghana; D006801:Humans; D007348:Insurance, Health / Q000706:statistics & numerical data; D016015:Logistic Models; D008427:Maternal Health Services / Q000706:statistics & numerical data*; D008875:Middle Aged; D011247:Pregnancy; D012424:Rural Population / Q000706:statistics & numerical data; D012923:Social Class; D055815:Young Adult
keywords: EPIDEMIOLOGY