Improving abortion underreporting in the USA: a cognitive interview study

Jennifer Mueller1, Marielle Kirstein1, Alicia VandeVusse1

  • 1Guttmacher Institute, New York, NY, USA.

Abortion is a difficult-to-measure behaviour with extensive underreporting in surveys, which compromises the ability to study and monitor it. We aimed to improve understanding of how women interpret and respond to survey items asking if they have had an abortion. We developed new questions hypothesised to improve abortion reporting, using approaches that aim to clarify which experiences to report; reduce the stigma and sensitivity of abortion; reduce the sense of intrusiveness of asking about abortion; and increase respondent motivation to report. We conducted cognitive interviews with cisgender women aged 18-49 in two US states (N = 64) to assess these new approaches and questions for improving abortion reporting. Our findings suggest that including abortion as part of a list of other sexual and reproductive health services, asking a yes/no question about lifetime experience of abortion instead of asking about number of abortions, and developing an improved introduction to abortion questions may help to elicit more accurate survey reports. Opportunities exist to improve survey measurement of abortion. Reducing the underreporting of abortion in surveys has the potential to improve sexual and reproductive health research that relies on pregnancy histories.

Related Concept Videos

Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.5K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
556
Ethics in Research01:56

Ethics in Research

Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
23.7K
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
146