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Prevalence of anaemia among pregnant
women access antenatal care at Adabraka
Polyclinic, Korle-Klottey Municipality, 2018 -
2020
Presented by
James Hodey
Head of Laboratory Department
Adabraka Polyclinic
Background
• Anaemia is a condition resulting from an inadequate number of
erythrocytes
• It is characterized by a decrease in the amount of haemoglobin (Hb)
• Anamia is estimated to affects 38% (32.4 million) of pregnant women
aged 15–49 years
• anaemic condition may be considered as severe, mild or moderate
• In pregnant women, Hb ≤10.9 g/dl; mild anaemia, Hb ≤ 9.9 g/dl;
moderate anaemia and Hb < 7 g/dl (severe anaemia),
• Anaemia in pregnancy, is associated with low birth weight and high
risk of preterm delivery
Objective
• Main Objective
• Determine the prevalence of anaemia among pregnant women
seeking antenatal care (ANC) at Adabraka Polyclinic
• Specific Objectives
• determine the anaemia in pregnant women
• Establish the clinical factors related to anaemia in pregnancy
• Establish the severity of anaemia in pregnancy
Problem statement
• Anemia prevalence data remains an important indicator in public
health
• Anaemia among pregnant women in Ghana is on the rise, from 34%
in 2014 to 37% in 2016
• The lack of evidence is limiting the fight against anaemia in pregnancy
Justification
• Help determine the extent of anaemia in pregnancy
• Establish the progress and success of reproductive health
• Help step up efforts in the fight against anaemia
Methods
• Study design : descriptive cross-sectional analysis
• Study site: Adabraka Polyclinic
• Study population: pregnant women attending ANC clinic
• Data sources: laboratory records on antenatal screening
• Data analysis: SPSS vs 23, student t-test, chi-square; p-value ≤ 0.05,
as significant
TIMELINE AND DELIVERABLES
ACTIVITIES 1st 2nd 3rd 4th
1 Writing of research proposal ***
3 Data collation from source ***
5 Data cleaning ***
7 statistical analysis and data interpretation ***
8 Write first draft of report ***
9 Finish with final report writing and proofreading ***
Adabraka Poly Research.pptx

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Adabraka Poly Research.pptx

  • 1. Prevalence of anaemia among pregnant women access antenatal care at Adabraka Polyclinic, Korle-Klottey Municipality, 2018 - 2020 Presented by James Hodey Head of Laboratory Department Adabraka Polyclinic
  • 2. Background • Anaemia is a condition resulting from an inadequate number of erythrocytes • It is characterized by a decrease in the amount of haemoglobin (Hb) • Anamia is estimated to affects 38% (32.4 million) of pregnant women aged 15–49 years • anaemic condition may be considered as severe, mild or moderate • In pregnant women, Hb ≤10.9 g/dl; mild anaemia, Hb ≤ 9.9 g/dl; moderate anaemia and Hb < 7 g/dl (severe anaemia), • Anaemia in pregnancy, is associated with low birth weight and high risk of preterm delivery
  • 3. Objective • Main Objective • Determine the prevalence of anaemia among pregnant women seeking antenatal care (ANC) at Adabraka Polyclinic • Specific Objectives • determine the anaemia in pregnant women • Establish the clinical factors related to anaemia in pregnancy • Establish the severity of anaemia in pregnancy
  • 4. Problem statement • Anemia prevalence data remains an important indicator in public health • Anaemia among pregnant women in Ghana is on the rise, from 34% in 2014 to 37% in 2016 • The lack of evidence is limiting the fight against anaemia in pregnancy
  • 5. Justification • Help determine the extent of anaemia in pregnancy • Establish the progress and success of reproductive health • Help step up efforts in the fight against anaemia
  • 6. Methods • Study design : descriptive cross-sectional analysis • Study site: Adabraka Polyclinic • Study population: pregnant women attending ANC clinic • Data sources: laboratory records on antenatal screening • Data analysis: SPSS vs 23, student t-test, chi-square; p-value ≤ 0.05, as significant
  • 7. TIMELINE AND DELIVERABLES ACTIVITIES 1st 2nd 3rd 4th 1 Writing of research proposal *** 3 Data collation from source *** 5 Data cleaning *** 7 statistical analysis and data interpretation *** 8 Write first draft of report *** 9 Finish with final report writing and proofreading ***