| Literature DB >> 33145554 |
Melissa Parsons1, Colleen Kalynych1,2, Tracy L Johns3, Michael J Scicchitano3, Michelle Lott1, Rosemarie Fernandez4.
Abstract
OBJECTIVE: Studies suggest female physicians experience higher rates of infertility than the general population. The overall objective of this study was to determine the rate of impaired fecundity in a sample of female emergency physicians and compare it to the Centers for Disease Control and Prevention (CDC) National Survey of Family Growth (NSFG) data. Impaired fecundity is defined as physical difficulty in getting pregnant or carrying a pregnancy to live birth.Entities:
Keywords: gender research; infertility; physician wellness; reproductive health
Year: 2020 PMID: 33145554 PMCID: PMC7593458 DOI: 10.1002/emp2.12170
Source DB: PubMed Journal: J Am Coll Emerg Physicians Open ISSN: 2688-1152
Survey distribution plan
| Organization | Membership | Scope (local, regional, national) |
|---|---|---|
| FemInEM: Females Working in Emergency Medicine | 4300 | An open access resource where women discuss issues pertinent to women working in emergency medicine |
| AWAEM: Academy for Women in Academic Emergency Medicine | 247 | Established as an academy within the Society of Academic Emergency Medicine to promote the recruitment, retention, advancement, and leadership of women in academic emergency medicine |
| AAWEP: American Association of Women Emergency Physicians | 1006 | Provides a broad‐based network of support, established as a section within the American College of Emergency Physicians to promote leadership skills for women in emergency physicians |
| Social Media Outlet (Facebook EM Docs) Closed Group | ∼20,000 (includes both men and women) | A closed social media group on Facebook for emergency physicians to “share challenges and joys of emergency medicine” |
Characteristics of survey respondents in the 18–44 year old age group
| Characteristic | Respondents ages 18–44 |
|---|---|
| Age, year; mean (confidence interval) | 36.24 (36.05–36.43) |
| Race, n (%) | |
| American Indian or Alaskan Native | 8 (0.5) |
| Black or African American | 66 (3.9) |
| Native Hawaiian or Other Pacific Islander | 1 (0.1) |
| Asian | 170 (10.1) |
| White | 1325 (78.5) |
| Other | 49 (2.9) |
| Did not answer | 86 (5.0) |
| Ethnicity n (%) | |
| Hispanic or Latino | 91 (5.3) |
| Not Hispanic or Latino | 1485 (87.1) |
| Other/Not sure | 7 (0.5) |
| Did not answer | 122 (7.2) |
| Clinical setting, n (%) | |
| Academic | 941 (55.1) |
| Non‐academic | 674 (40.0) |
| Other | 52 (3.0) |
| Did not answer | 38 (2.2) |
| Current training level n (%) | |
| Board‐certified/eligible | 1393 (81.7) |
| Current fellow | 31 (1.8) |
| Current resident | 179 (10.5) |
| Other | 16 (1.0) |
| Did not answer | 86 (5.0) |
We show data for ages 18–44 to allow comparison with the CDC NSFG.
Not currently in fellowship training program.
Comparison of impaired fecundity in the sample versus National NSFG Survey
| Emergency physician respondents % (No.) | NSFG Survey 2011–2015 | % Difference (emergency medicine–NSFG) | |
|---|---|---|---|
|
|
|
|
|
| 15‐29 years | 10.0% (8/81) | 9.0% (0.57) | 0.9% |
| 30‐34 years | 15.8% (80/506) | 14.0% (1.06) | 1.8% |
| 35‐39 years | 28.1% (204/726) | 15.2% (1.36) | 12.9%* |
| 40‐44 years | 33.7% (132/392) | 16.2% (1.24) | 17.5%* |
NSFG, National Survey of Family Growth .
Source: National Survey of Family Growth, Key Statistics: https://www.cdc.gov/nchs/nsfg/key_statistics/i.htm#impaired. N for interviews is 11,300; however, the NSFG is not based upon simple random sampling but uses a probability‐based complex sample design that is meant to yield results representative of the US population. The NSFG sampled some populations at higher rates than others and adjusted sampling weights as appropriate. As a result, each respondent represents a different number of people in the United States. Thus, ratios and sample number would be inaccurate and are not provided. (https://www.cdc.gov/nchs/nsfg/nsfg_2015_2017_puf.htm).
P < 0.001. One‐sample t tests showed that significant differences exist between emergency physicians in the 35‐ to 39‐year‐old age group, t (725) = 7.59, P < 0.001 and the NSFG national sample; emergency physicians in the 40‐ to 44‐year‐old age group, t (391) = 7.29, P < 0.001 and the NSFG national sample; and, for the overall sample of emergency physicians age 44 and under, t (1704) = 12.8, P < 0.001.
Work schedule in emergency physicians with and without impaired fecunditya
| Clinical hours | Overall | Normal fecundity | Impaired fecundity | Difference (95% confidence interval) |
|---|---|---|---|---|
| Clinical hours worked per month, | 87.1 (65.3) | 84.7 (63.2) | 94.4 (70.7) | 9.8* (2.5–17) |
| Non‐clinical hours worked per month, | 26.0 (37.7) | 26.4 (38.2) | 24.6 (35.9) | 1.8 (‐2.4–6.1) |
| Night shift hours worked per month, | 31.0 (32.6) | 29.9 (31.5) | 34.3 (35.6) | 4.5* (0.8–8.2) |
Work hours determined at the time of first pregnancy.
Work hours determined at the time first meeting definition of impaired fecundity.
Respondents N(total) = 1633; N(normal fecundity) = 1220; N(impaired fecundity) = 413.
Respondents N(total) = 1600; N(normal fecundity) = 1200; N(impaired fecundity) = 400.
Respondents N(total) = 1595; N(normal fecundity) = 1197; N(impaired fecundity) = 398.
*P < 0.05.
Survey results regarding perceptions of work, family, and children
| Question and anchors | Median score (IQR) |
|---|---|
|
Having or having had children is important to me feeling complete as a person. 1—Strongly disagree 3—Neutral 5—Strongly agree | 5 (3–5) |
|
It is/was important for me to have children. 1—Strongly disagree 3—Neutral 5—Strongly agree | 5 (4–5) |
|
How much would you say your career has influenced your childbearing decisions? 1—Not at all 3—Somewhat 5—A great deal | 4 (3–5) |
|
How much would you say childbearing has influenced your career decisions?d 1—Not at all 3—Somewhat 5—A great deal | 4 (2–5) |
IQR, interquartile range.
1559/1705 respondents (91%).
1570/1705 respondents (92%).
1571/1705 respondents (92%).
1559/1705 respondents (92%).