Evidence map›Paper›PMID 36995155›Full record

ArticleStudies in family planning2023

How to Use Simplified Reproductive Calendar Data from the Demographic and Health Survey.

Elizabeth Heger Boyle, Nir Rotem, Miriam L King

Abstract read
In one paragraph

Article in Studies in family planning, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Elizabeth Heger BoyleSociology Department, University of Minnesota, Minneapolis, MN, 55455, USA.
Nir RotemThe Leonard Davis Institute for International Relations, The Hebrew University of Jerusalem, Jerusalem, 9190501, Israel.ORCID 0000-0001-6889-2832
Miriam L KingInstitute for Social Research and Data Innovation, University of Minnesota, Minneapolis, MN, 55455, USA.

Funding

IPUMS Demographic and Health SurveysR01HD069471 · NICHD · UNIVERSITY OF MINNESOTA · PI Elizabeth H Boyle, MIRIAM L KING · 2012 to 2026
$9.6M
Minnesota Population Center Science and Technical CoreP2CHD041023 · NICHD · UNIVERSITY OF MINNESOTA · PI THERESA LOUISE OSYPUK · 2016 to 2026
$4.3M
Spatial Analysis CoreR24HD041023 · NICHD · UNIVERSITY OF MINNESOTA TWIN CITIES · PI FITCH, CATHERINE A · 2001 to 2016
$4.1M
NICHD NIH HHS P2C HD041023NICHD NIH HHS R01 HD069471NICHD NIH HHS R24 HD041023
6 · The paper itself

Abstract

IPUMS Demographic and Health Surveys (IPUMS DHS), through its intuitive website (http://dhs.ipums.org/), eliminate barriers to overtime and cross-national analyses with the DHS. IPUMS DHS recently released simplified reproductive calendar data. These calendar data are harmonized across samples, distinguish "not in universe" cases from "no" responses, and do not require destringing. Variable names are hot links to important documentation, such as survey-question text and comparability concerns. Analysts can also select consistently coded variables relating to the woman, her household, and her social and environmental context without merging files.

Indexed as

Family CharacteristicsFemaleHealth SurveysHumansSurveys and Questionnaires

Identifiers

PMID36995155
PMCPMC10854375

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.