Beyond adequate: Factors associated with quality of antenatal care in western Tanzania

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 singl...

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Bibliographic Details
Published in:	International journal of gynecology and obstetrics Vol. 151; no. 3; pp. 431 - 437
Main Authors:	Young, Marisa R., Morof, Diane, Lathrop, Eva, Haddad, Lisa, Blanton, Curtis, Maro, Godson, Serbanescu, Florina
Format:	Journal Article
Language:	English
Published:	United States 01-12-2020
Subjects:	Adult Antenatal Female Health Surveys Humans Pregnancy Prenatal Care Principal Component Analysis Quality of care Quality of Health Care Socioeconomic Factors Tanzania Young Adult Tanzania Pregnancy Prenatal care Quality of care Antenatal Tanzania Principal component analysis
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Summary:	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. Principal component analysis is a low‐cost, feasible method of identifying drivers of quality of antenatal care that may apply to multiple settings.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 AUTHOR CONTRIBUTIONS GM contributed to data collection and field work in Tanzania. FS and CB designed, implemented, and analyzed the survey data. MRY, DM, EL, LH, CB FS, and GM all contributed to the study design and planning. Analysis was performed by MRY with assistance from CB and DM. The first draft of the manuscript was written by MRY with substantial input and revision provided by DM, EL, LH, CB, FS, and GM. The authors’ views expressed in this publication do not necessarily reflect the views of the Centers for Disease Control and Prevention.
ISSN:	0020-7292 1879-3479
DOI:	10.1002/ijgo.13349