Evidence map›Paper›PMID 33924290›Full record

ArticleInternational journal of environmental research and public health2021

Women Do Not Utilise Family Planning According to Their Needs in Southern Malawi: A Cross-Sectional Survey.

Maria Lisa Odland, Oda Vallner, Marlen Toch-Marquardt, Elisabeth Darj

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Maria Lisa OdlandInstitute of Applied Health Research, Birmingham University, Birmingham B15 2TT, UK.ORCID 0000-0003-4340-7145
Oda VallnerDepartment of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
Marlen Toch-MarquardtDepartment of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
Elisabeth DarjDepartment of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, 7491 Trondheim, Norway.ORCID 0000-0002-8311-4956

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malawi is a low-income country with a high maternal mortality rate. This study aimed to investigate the use of contraception and factors associated with unmet need of family planning among fertile women in selected health facilities in southern Malawi. A cross-sectional study design was employed using a validated questionnaire to investigate the unmet need. A total of 419 pregnant women, who attended antenatal clinics at a central hospital and two district hospitals, voluntarily participated in the study. Logistic regression analysis was used to identify possible factors associated with unmet needs. Amongst the participants, 15.1% reported unmet need, 27.0% had never used a contraceptive method, and 27.2% had an unwanted pregnancy. Being married, 20-24 years of age, living in a rural area, and high parity were protective factors against having unmet need regarding family planning. Malawi, a country with a young population and a high fertility rate, has a high level of unmet family planning need. Barriers and facilitators need to be identified and addressed at different levels by the health care system, society, and the government of Malawi.

Indexed as

Contraception BehaviorFamily Planning ServicesContraceptionCross-Sectional StudiesFemaleHealth Services Needs and DemandHumansMalawiPregnancycontraceptionfamily planningMalawiunmet need

Identifiers

PMID33924290
PMCPMC8070605

What OpenQuestion holds

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Registered trials

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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.