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Study says infertility statistics fail to capture ‘invisible’ groups

Posted December 14, 2017

UO postdoctoral researcher Liberty Barnes is helping bring the infertility experiences of men, women of color, single and divorced women, and those who self-identify as LGBTQ to light. In medical statistics, they are known as the “invisible infertile.”

In a paper published in the journal Health Policy and Planning, Barnes and Jasmine Fledderjohann of Lancaster University in the United Kingdom, argue that the historical omission of these groups casts doubt on the quality and accuracy of research on infertility issues.

They also point out that the incidence of infertility among people living in high fertility areas, such as sub-Saharan Africa, is poorly assessed and often ignored. Around the world, the invisible infertile also includes racial and ethnic minorities, those with limited economic resources, those who do not have access to affordable healthcare, and persons with disabilities.

An estimated 15 percent of couples worldwide are infertile, but that number hinges critically on the quality, inclusiveness and availability of data sources used to track infertility, the two researchers say.

“Because these data and statistics are used for policymaking and decisions about reproductive health services, omission of these groups contributes to uneven access to state resources and health services,” the two sociologists wrote in their paper.

They also detailed their findings in an essay, “The Invisible Infertile: How Cultural Beliefs Can Shape Statistics,” published by The Conversation.

The research took root in 2004 when Barnes began studying the experiences of infertile men and sought data from the U.S. Centers for Disease Control and Prevention in Atlanta.

“I found lots of data on the CDC website about female reproduction but virtually nothing about men,” Barnes said. “I emailed the CDC with questions about male reproduction, and they said they couldn’t offer me any more information.”

By 2008 statistics about men dealing with infertility and using infertility services began appearing on the CDC website. That data, Barnes discovered, was coming from the Integrated Fertility Survey Series, which began in 1955 but did not begin capturing information about men until 2002.

Women of color and single and divorced women were excluded from the first wave of the survey series. Single childless women were excluded until 1982. Participants were presumed to be heterosexual until questions were added in the last decade to allow respondents to self-identify as LGBTQ.

“The researchers who started the series were truly pioneers in their field and the datasets are fantastic,” Barnes said. “As I looked through the sampling, I discovered that the surveys historically focused on white married women. This isn’t news to anyone who works with these datasets directly, but many demographers and social scientists who rely on statistics generated by these data do not know this.”

To further explore the issue, Barnes teamed with Fledderjohann, who was struggling with statistics for her research on infertility in Ghana. Together, they wanted to show that cultural beliefs shape how surveys are designed and who gets included in surveys.

In Ghana and other low and middle-income countries, surveys were designed amid concerns of overpopulation; the surveys did not assess whether respondents had experienced infertility.

“Demographers have to work the data in creative ways to produce infertility statistics,” Barnes said.

Source: Oregon State University

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