ReviewBMC public health2022
The impact of 'grounds' on abortion-related outcomes: a synthesis of legal and health evidence.
Review in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Decision-Making About Abortion in an Abortion-Restricted Setting: A Qualitative Study of Young Women in Namibia.Health science reports · 2026Article
- Global progress in abortion law reform: a comparative legal analysis since the International Conference on Population and Development (1994-2023).Sexual and reproductive health matters · 2025Article
- Women's wellbeing as an empty declaration? A qualitative exploration of challenges in accessing termination of pregnancy due to fetal anomaly in Germany.BMC medical ethics · 2025Article
- "Sexual and reproductive health matters · 2023Article
- Article
- Improving measures of access to legal abortion: A validation study triangulating multiple data sources to assess a global indicator.PloS one · 2023Article
- The impact of criminalisation on abortion-related outcomes: a synthesis of legal and health evidence.BMJ global health · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Where abortion is legal, it is often regulated through a grounds-based approach. A grounds-based approach to abortion provision occurs when law and policy provide that lawful abortion may be provided only where a person who wishes to have an abortion satisfies stipulated 'grounds', sometimes described as 'exceptions' or 'exceptional grounds'. Grounds-based approaches to abortion are, prima facie, restrictive as they limit access to abortion based on factors extraneous to the preferences of the pregnant person. International human rights law specifies that abortion must be available (and not 'merely' lawful) where the life or health of the pregnant woman or girl is at risk, or where carrying a pregnancy to term would cause her substantial pain or suffering, including but not limited to situations where the pregnancy is the result of rape or incest or the pregnancy is not viable. However, international human rights law does not specify a grounds-based approach as the way to give effect to this requirement. The aim of this review is to address knowledge gaps related to the health and non-health outcomes plausibly related to the effects of a grounds-based approach to abortion regulation. The evidence from this review shows that grounds have negative implications for access to quality abortion and for the human rights of pregnant people. Further, it shows that grounds-based approaches are insufficient to meet states' human rights obligations. The evidence presented in this review thus suggests that enabling access to abortion on request would be more rights-enhancing than grounds-based approaches to abortion regulation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.