Evidence map›Paper›PMID 35493387›Full record

ArticleFrontiers in public health2022

Do Predictors of Health Facility Delivery Among Reproductive-Age Women Differ by Health Insurance Enrollment? A Multi-Level Analysis of Nigeria's Data.

Xiaomei Zhang, Muhammad Khalid Anser, Rolle Remi Ahuru, Zizai Zhang, Michael Yao-Ping Peng, Romanus Osabohien, Mumal Mirza

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.7field-weighted citation impact, top 4% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

10 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 7 institutions in 3 countries.

Xiaomei ZhangSchool of Humanities, Arts and Education, Shandong Xiehe University, Jinan, China.
Muhammad Khalid AnserSchool of Public Administration, Xi'an University of Architecture and Technology, Xi'an, China.
Rolle Remi AhuruDepartment of Economics, Faculty of Social Sciences, University of Benin, Benin City, Nigeria.
Zizai ZhangHangzhou Preschool Teachers College, Zhejiang Normal University, Hangzhou, China.
Michael Yao-Ping PengSchool of Economics and Management, Foshan University, Foshan, China.
Romanus OsabohienDepartment of Economics and Development Studies, Covenant University, Ota, Nigeria.
Mumal MirzaDepartment of Media Science, ILMA University, Karachi, Pakistan.
Covenant University · NGFoshan University · CNHangzhou Normal University · CNILMA University · PKShandong Xiehe University · CNUniversity of Benin · NGXi'an University of Architecture and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to compare determinants of health facility delivery for women under a health insurance scheme and those not under a health insurance scheme. Secondary data drawn from the National Demographic and Health Survey was used for the analysis. The characteristics of the women were presented with simple proportions. Binary multilevel logistic regression was used to examine the determinants of health facilities for women who enrolled in health insurance and those who did not. All statistical analyses were set at 5% level of significant level (

Indexed as

Delivery, ObstetricHealth FacilitiesFemaleHumansInsurance, HealthNigeriaPregnancySocioeconomic Factorshealth facility deliveryhealth insuranceNigeriapredictorswomen

Identifiers

PMID35493387
PMCPMC9047955
OpenAlexW4224140786

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.