Evidence map›Paper›PMID 32799345›Full record

ArticleInternational journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics2020

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

Marisa R Young, Diane Morof, Eva Lathrop, Lisa Haddad, Curtis Blanton, Godson Maro, Florina Serbanescu

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Article in International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Marisa R YoungDepartment of Gynecology and Obstetrics, Emory University, Atlanta, GA, USA.
Diane MorofDivision of Global HIV/AIDS and Tuberculosis, U.S. Centers for Disease Control and Prevention, Pretoria, South Africa.
Eva LathropDepartment of Gynecology and Obstetrics, Emory University, Atlanta, GA, USA.
Lisa HaddadDepartment of Gynecology and Obstetrics, Emory University, Atlanta, GA, USA.
Curtis BlantonDivision of Global Health Protection, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA.
Godson MaroBloomberg Philanthropies, Dar es Salaam, Tanzania.
Florina SerbanescuDivision of Reproductive Health, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectiveTo determine quality of antenatal care (ANC). Most literature focuses on ANC attendance and services. Less is known about quality of care (QoC).

methodData 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.

resultsA 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.

conclusionUsing 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.

Indexed as

Prenatal CarePrincipal Component AnalysisQuality of Health CareAdultFemaleHealth SurveysHumansPregnancySocioeconomic FactorsTanzaniaYoung AdultAntenatalPregnancyPrenatal carePrincipal component analysisQuality of careTanzania

Identifiers

PMID32799345
PMCPMC8009327

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.