Marisa R Young1, Diane Morof2, Eva Lathrop1, Lisa Haddad1, Curtis Blanton3, Godson Maro4, Florina Serbanescu5. 1. Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, USA. 2. Division of Global HIV/AIDS and Tuberculosis, U.S. Centers for Disease Control and Prevention, Pretoria, South Africa. 3. Division of Global Health Protection, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA. 4. Bloomberg Philanthropies, Dar es Salaam, Tanzania. 5. Division of Reproductive Health, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA.
Abstract
OBJECTIVE: To determine quality of antenatal care (ANC). Most literature focuses on ANC attendance and services. Less is known about quality of care (QoC). METHOD: Data were analyzed from the 2016 Kigoma Reproductive Health Survey, a population-based survey of reproductive-aged women. Women with singleton term live births were included and principal component analysis (PCA) was used to create an ANC quality index using linear combinations of weights of the first principal component. Nineteen variables were selected for the index. The index was then used to assign a QoC score for each woman and linear regression used to identify factors associated with receiving higher QoC. RESULTS: A total of 3178 women received some ANC. Variables that explained the most variance in the QoC index included: gave urine (0.35); gave blood (0.34); and blood pressure measured (0.30). In multivariable linear regression, factors associated with higher QoC included: ANC at a hospital (versus dispensary); older age; higher level of education; working outside the home; higher socioeconomic status; and having lower parity. CONCLUSION: Using PCA methods, several basic components of ANC including maternal physical assessment were identified as important indicators of quality. This approach provides an affordable and effective means of evaluating ANC programs.
OBJECTIVE: To determine quality of antenatal care (ANC). Most literature focuses on ANC attendance and services. Less is known about quality of care (QoC). METHOD: Data were analyzed from the 2016 Kigoma Reproductive Health Survey, a population-based survey of reproductive-aged women. Women with singleton term live births were included and principal component analysis (PCA) was used to create an ANC quality index using linear combinations of weights of the first principal component. Nineteen variables were selected for the index. The index was then used to assign a QoC score for each woman and linear regression used to identify factors associated with receiving higher QoC. RESULTS: A total of 3178 women received some ANC. Variables that explained the most variance in the QoC index included: gave urine (0.35); gave blood (0.34); and blood pressure measured (0.30). In multivariable linear regression, factors associated with higher QoC included: ANC at a hospital (versus dispensary); older age; higher level of education; working outside the home; higher socioeconomic status; and having lower parity. CONCLUSION: Using PCA methods, several basic components of ANC including maternal physical assessment were identified as important indicators of quality. This approach provides an affordable and effective means of evaluating ANC programs.
Authors: Robin C Nesbitt; Terhi J Lohela; Alexander Manu; Linda Vesel; Eunice Okyere; Karen Edmond; Seth Owusu-Agyei; Betty R Kirkwood; Sabine Gabrysch Journal: PLoS One Date: 2013-11-27 Impact factor: 3.240
Authors: Maureen I Heaman; Wendy A Sword; Noori Akhtar-Danesh; Amanda Bradford; Suzanne Tough; Patricia A Janssen; David C Young; Dawn A Kingston; Eileen K Hutton; Michael E Helewa Journal: BMC Pregnancy Childbirth Date: 2014-06-03 Impact factor: 3.007