Article Text

Identifying data for the empirical assessment of law (IDEAL): a realist approach to research gaps on the health effects of abortion law
  1. Scott Burris1,
  2. Adrienne R Ghorashi1,
  3. Lindsay Foster Cloud1,
  4. Rachel Rebouché1,
  5. Patty Skuster2,
  6. Antonella Lavelanet3
  1. 1Center for Public Health Law Research, Beasley School of Law, Temple University, Philadelphia, Pennsylvania, USA
  2. 2Ipas, Chapel Hill, North Carolina, USA
  3. 3Department of Sexual and Reproductive Health and Research and UNDP-UNFPA-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), World Health Organization, Geneve, GE, Switzerland
  1. Correspondence to Professor Scott Burris; scott.burris{at}temple.edu

Abstract

Reproductive rights have been the focus of United Nations consensus documents, a priority for agencies like the WHO, and the subject of judgments issued by national and international courts. Human rights approaches have galvanised abortion law reform across numerous countries, but human rights analysis is not designed to empirically assess how legal provisions regulating abortion shape the actual delivery of abortion services and outcomes. Reliable empirical measurement of the health and social effects of abortion regulation is vital input for policymakers and public health guidance for abortion policy and practice, but research focused explicitly on assessing the health effects of abortion law and policy is limited at the global level. This paper describes a method for Identifying Data for the Empirical Assessment of Law (IDEAL), to assess potential health effects of abortion regulations. The approach was applied to six critical legal interventions: mandatory waiting periods, third-party authorisation, gestational limits, criminalisation, provider restrictions and conscientious objection. The IDEAL process allowed researchers to link legal interventions and processes that have not been investigated fully in empirical research to processes and outcomes that have been more thoroughly studied. To the extent these links are both transparent and plausible, using IDEAL to make them explicit allows both researchers and policy stakeholders to make better informed assessments and guidance related to abortion law. The IDEAL method also identifies gaps in scientific research. Given the importance of law to public health generally, the utility of IDEAL is not limited to abortion law.

  • health policies and all other topics
  • health policy
  • maternal health

Data availability statement

All data relevant to the study are included in the article or uploaded as supplementary information.

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Data availability statement

All data relevant to the study are included in the article or uploaded as supplementary information.

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Footnotes

  • Handling editor Seye Abimbola

  • Twitter @scottburrisphlr, @PSkuster

  • Contributors SB developed the method and wrote the final draft of the paper and the supplement. ARG participated in the research and wrote the first draft of the paper and supplement. PS, RR and LFC participated in the research and edited the paper and supplement. AL helped conceptualise the method and plan the research, reviewed the findings and edited the paper and the supplement.

  • Funding The study was funded by the World Health Organization.

  • Competing interests None declared.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.