Literature DB >> 26555685

A New Way to Estimate the Potential Unmet Need for Infertility Services Among Women in the United States.

Arthur L Greil1, Kathleen S Slauson-Blevins2, Stacy Tiemeyer3, Julia McQuillan3, Karina M Shreffler4.   

Abstract

BACKGROUND: Fewer than 50% of women who meet the medical/behavioral criteria for infertility receive medical services. Estimating the number of women who both meet the medical/behavioral criteria for infertility and who have pro-conception attitudes will allow for better estimates of the potential need and unmet need for infertility services in the United States.
METHODS: The National Survey of Fertility Barriers was administered by telephone to a probability sample of 4,712 women in the United States. The sample for this analysis was 292 women who reported an experience of infertility within 3 years of the time of the interview. Infertile women were asked if they were trying to conceive at the time of their infertility experience and if they wanted to have a child to determine who could be considered in need of services.
RESULTS: Among U.S. women who have met medical criteria for infertility within the past three years, 15.9% report that they were neither trying to have a child nor wanted to have a child and can be classified as not in need of treatment. Of the 84.9% of infertile women in need of treatment, 58.1% did not even talk to a doctor about ways to become pregnant. DISCUSSION: Even after taking into account that not all infertile women are in need of treatment, there is still a large unmet need for infertility treatment in the United States.
CONCLUSION: Studies of the incidence of infertility should include measures of both trying to have a child and wanting to have a child.

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Year:  2015        PMID: 26555685      PMCID: PMC4761849          DOI: 10.1089/jwh.2015.5390

Source DB:  PubMed          Journal:  J Womens Health (Larchmt)        ISSN: 1540-9996            Impact factor:   2.681


  28 in total

1.  Increasing cell phone usage among Hispanics: implications for telephone surveys.

Authors:  Sunghee Lee; Mahmoud Elkasabi; Leanne Streja
Journal:  Am J Public Health       Date:  2012-04-19       Impact factor: 9.308

2.  Estimating infertility: the devil is in the details.

Authors:  David L Olive; Elizabeth A Pritts
Journal:  Fertil Steril       Date:  2006-09       Impact factor: 7.329

3.  Beyond (financial) accessibility: inequalities within the medicalisation of infertility.

Authors:  Ann V Bell
Journal:  Sociol Health Illn       Date:  2010-02-12

4.  Infertility and impaired fecundity in the United States, 1982-2010: data from the National Survey of Family Growth.

Authors:  Anjani Chandra; Casey E Copen; Elizabeth Hervey Stephen
Journal:  Natl Health Stat Report       Date:  2013-08-14

5.  International estimates of infertility prevalence and treatment-seeking: potential need and demand for infertility medical care.

Authors:  Jacky Boivin; Laura Bunting; John A Collins; Karl G Nygren
Journal:  Hum Reprod       Date:  2007-03-21       Impact factor: 6.918

6.  Measuring resilience in women experiencing infertility using the CD-RISC: examining infertility-related stress, general distress, and coping styles.

Authors:  Minden B Sexton; Michelle R Byrd; Silvia von Kluge
Journal:  J Psychiatr Res       Date:  2009-08-08       Impact factor: 4.791

7.  The Importance of Motherhood among Women in the Contemporary United States.

Authors:  Julia McQuillan; Arthur L Greil; Karina M Scheffler; Veronica Tichenor
Journal:  Gend Soc       Date:  2008-08-01

8.  Infertility, mental disorders and well-being--a nationwide survey.

Authors:  Reija Klemetti; Jani Raitanen; Sinikka Sihvo; Samuli Saarni; Päivikki Koponen
Journal:  Acta Obstet Gynecol Scand       Date:  2010-05       Impact factor: 3.636

Review 9.  Defining infertility--a systematic review of prevalence studies.

Authors:  S Gurunath; Z Pandian; Richard A Anderson; Siladitya Bhattacharya
Journal:  Hum Reprod Update       Date:  2011-04-14       Impact factor: 15.610

10.  Measuring infertility in populations: constructing a standard definition for use with demographic and reproductive health surveys.

Authors:  Maya N Mascarenhas; Hoiwan Cheung; Colin D Mathers; Gretchen A Stevens
Journal:  Popul Health Metr       Date:  2012-08-31
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  3 in total

1.  Responding to Infertility: Lessons From a Growing Body of Research and Suggested Guidelines for Practice.

Authors:  Karina M Shreffler; Arthur L Greil; Julia McQuillan
Journal:  Fam Relat       Date:  2017-10

2.  Medical conditions, pregnancy perspectives and contraceptive decision-making among young people: an exploratory, qualitative analysis.

Authors:  Anu Manchikanti Gomez; Stephanie Arteaga; Natalie Ingraham; Jennet Arcara
Journal:  Contraception       Date:  2019-04-10       Impact factor: 3.375

3.  Projecting the potential impact of the Cap-Score™ on clinical pregnancy, live births, and medical costs in couples with unexplained infertility.

Authors:  Joseph B Babigumira; Fady I Sharara; Louis P Garrison
Journal:  J Assist Reprod Genet       Date:  2017-09-23       Impact factor: 3.412

  3 in total

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