This study investigates the knowledge gaps about fragile X-associated primary ovarian insufficiency (FXPOI) among women’s healthcare providers. Previous research highlighted a lack of awareness regarding FXPOI as a cause of primary ovarian insufficiency (POI) and its diagnosis. The objective of this study was to describe these gaps and explore demographic factors influencing FXPOI knowledge in women’s healthcare practitioners.
Methods
A survey assessed familiarity with primary ovarian insufficiency and FXPOI knowledge among 107 women’s healthcare providers and 14 medical students in the USA. Knowledge Scores, ranging from 0 to 16, were assigned, and demographic data, including healthcare provider type, specialty, and genetics exposure in education or training, were collected.
Results
Participants scored an average of 6.92 (± 2.19) out of 16 (42%) despite 88% of participants reporting genetics exposure in training. Maternal fetal medicine (MFM) and reproductive endocrinology (REI) providers significantly outperformed general obstetrics and gynecology (OBGYN) practitioners (p = 0.0186 and 0.0125, respectively). Participants with a genetic counselor in their clinic scored 8% higher (p = 0.0083) than those without. Additionally, medical school graduation year was a significant predictor for knowledge score (p = 0.0397).
Conclusion
This study underscores limited FXPOI knowledge among women’s healthcare providers, aligning with patient reports. Notably, medical specialty and the presence of a genetic counselor impacted knowledge, emphasizing the urgency for broader education in women’s healthcare, particularly among OBGYNs, the initial point of contact for patients with POI symptoms.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Introduction
Primary ovarian insufficiency (POI) is clinically defined as oligomenorrhea or amenorrhea with increased gonadotropins and decreased estradiol prior to age 40 years [1]. POI affects approximately 20–30% of women with a fragile X premutation, making it one of the most common causes of POI. The fragile X premutation occurs when there are 55–200 CGG repeats in the 5′ untranslated region (UTR) of the FMR1 gene. It is estimated that 1 in 148 women carry a premutation, impacting over one million women in the USA [2]. Women with 80–100 CGG repeats have the highest FXPOI risk of all premutation carriers [3]. In addition to the risk of POI, women with a premutation, on average, experience menopause about 5 years earlier than noncarriers [4]. Hipp et al. showed that only 15% of women were diagnosed with a premutation due to personal or family history of POI, while 84% learned they were premutation carriers due to a family member diagnosis with fragile X syndrome (FXS) [5]. This study also found that women who were younger at the time of suspected POI diagnosis were likely to experience a longer delay until clinical diagnosis.
FXPOI was first reported in the literature in 1998, finding that women with a fragile X premutation more frequently reported POI compared to control groups. The authors recommended screening women with POI to identify women whose children are at risk of having FXS [6]. FXS is the leading inherited form of intellectual disability and autism spectrum disorder. Premutation carriers are at risk of having children with FXS due to premutation expansion to the full allele (> 200 CGG repeats). Presentation of FXS can include severe behavioral challenges, including hyperactivity, impulsivity, and anxiety, as well as poor language development and seizures [7].
Anzeige
In 2006, the American College of Obstetrics and Gynecology (ACOG) first recommended in a Committee Opinion that all women with ovarian insufficiency or elevated follicle stimulating hormone (FSH) levels have FMR1 testing, which has since been reaffirmed [8, 9]. It is unknown whether FXPOI diagnoses are missed by not offering FMR1 testing according to the guideline.
FXPOI workup is often first offered to patients by obstetrician-gynecology providers, which for many women can be a nurse practitioner (NP) or nurse midwife (NM) in addition to physicians [10]. In previous literature, women with FXPOI reported providing educational materials to their gynecologists after their initial concerns about POI symptoms were dismissed [5]. Dismissal of POI symptoms has been shown to negatively impact patients’ perceptions of their providers’ FXPOI knowledge level [10]. The difficulty experienced by women in receiving a FXPOI diagnosis has been shown to have a negative psychosocial impact for women with FXPOI, which may be due to lack of education and clinician training [10]. There is a demonstrable need for increased education for women’s healthcare providers to help guide the diagnosis of POI and understand the related health implications of the diagnosis, including an increased risk for infertility, osteoporosis, and cardiovascular disease [5]. Beyond personal health risks, many women (62%) reported that knowledge of their premutation status impacted their reproductive decisions with planned use of contraception, early prenatal testing, or pursuit of gamete donation [5]. Due to the potential need for follow-up care and changes in reproductive decision-making, it is essential that any healthcare provider ordering genetic testing that includes FMR1 CGG repeat size and/or seeing women with abnormal menses understands both personal and reproductive risks that come with a premutation [3].
This study aims to understand women’s healthcare providers’ knowledge of and practices surrounding workup and diagnosis of FXPOI. We hope to understand where gaps in knowledge lie and measure which demographic factors are facilitators to FXPOI knowledge so that providers can be properly educated. Additionally, we aim to observe practice patterns surrounding POI workup to see if providers are taking measures to rule out or make a diagnosis of FXPOI.
Methods
Study population
An anonymous online survey was disseminated directly via email to women's healthcare providers and via listserv to current medical students who plan to pursue careers in women’s health in the Emory School of Medicine and Virginia Tech Carilion School of Medicine OBGYN Student Interest Groups. Data was collected between August and November of 2023. To maximize participant outreach, survey distribution also occurred at the Georgia Obstetrical and Gynecological Society’s Annual Educational Meeting held in Hilton Head, South Carolina in August of 2023. In total, 107 women’s healthcare providers and 14 medical students completed the survey. A total of 352 women’s healthcare providers were sent the survey via direct email and the survey response rate if this cohort was 22%. One hundred sixty-two women’s healthcare providers attended the conference, and 20% of conference attendees completed the survey. Clinicians who began but did not complete up to 96% of the survey were excluded from the study. Participant demographics are shown in Table 1.
Table 1
Comparison of mean knowledge scores by participant demographics using ANOVA models
Knowledge score models based on individual variables
n
%
Mean knowledge score (out of 16)
SD
P-value
Type of healthcare provider
0.1507
Physician
76
63%
6.89
2.30
Medical fellow
7
6%
8.43
1.40
Resident physician
12
10%
7.67
2.06
Nurse practitioner
5
5%
6.00
2.12
Nurse midwife
7
6%
5.71
2.50
Medical student
16
13%
6.57
1.45
Number of patients with POI seen per year
0.1255
None
12
11%
6.58
2.74
Almost none
40
38%
6.35
2.43
Less than 10
36
34%
7.44
2.01
Over 10
12
11%
7.25
2.18
Over 20
6
6%
8.33
0.82
Exposure to genetics in training
0.3242
None
10
8%
6.50
3.17
Medical school only
28
23%
6.46
1.87
Greater than medical school
83
69%
7.12
2.15
Genetic counselor in clinicΔ
0.0001
Yes
50
47%
7.84
1.92
*
No
57
53%
6.19
2.29
*
Level of comfort explaining carrier screening
0.4303
Extremely uncomfortable
10
9%
7.20
2.35
Somewhat uncomfortable
14
13%
6.14
2.44
Neither comfortable nor uncomfortable
16
15%
6.50
2.03
Somewhat comfortable
40
38%
7.05
2.38
Extremely comfortable
27
25%
7.44
2.12
Gender
0.8566
Male
23
19%
7.00
2.37
Female
97
80%
6.91
2.17
Specialty
0.0122
General OBGYN
60
56%
6.47
2.40
*
MFM
20
19%
7.95
2.39
*
REI
18
17%
7.78
1.21
Other (not included in ANOVA)
9
8%
6.44
1.81
Medical school graduation year
0.0397
1969–1999
31
29%
6.13
2.40
a
2000–2009
28
26%
7.68
2.19
b
2010–2019
23
21%
7.09
2.13
> 2020
26
24%
7.27
1.80
b
Practice environmentΔ
0.0012
Academic
76
71%
7.41
2.09
All others
31
29%
5.87
2.38
Primary patient insurance typeΔ
0.5806
Medicaid
41
41%
7.17
2.37
Private insurance
58
59%
6.91
2.19
Medical school location
0.1099
South
60
60%
6.70
2.05
Midwest
21
21%
7.67
1.83
West
6
6%
6.17
2.32
Northeast
13
13%
7.92
3.17
Residency location
0.2311
South
45
50%
6.69
2.46
Midwest
18
20%
7.89
1.94
West
13
14%
7.54
1.81
Northeast
14
16%
7.43
2.34
Fellowship location
0.9932
South
24
52%
7.50
2.15
Midwest
6
13%
7.67
1.97
West
6
13%
7.50
1.22
Northeast
10
22%
7.70
2.26
Advanced practice nursing school location
0.7491
South
8
73%
5.88
2.23
Midwest
2
18%
7.00
1.41
West
0
0%
N/A
N/A
Northeast
1
9%
7.00
N/A
Bolded p-values indicate statistical significance
*Significant difference between groups based on Tukey’s post hoc analysis
ΔNot asked of medical students
a1969–1999 is significantly different from b2000–2009 and b > 2000
Anzeige
Survey components, design, and scoring
The survey was constructed using Qualtrics survey software. To enhance question relevance, input from reproductive endocrinologists, a health psychologist, a genetic counselor, and the primary research investigator were sought in the survey creation process.
After surveying participants, we reported levels of knowledge of FXPOI by assigning a Knowledge Score out of 16 points. This score is based on answering four knowledge-based questions about FXPOI reproductive risks, personal health risks, premutation CGG repeat size and clinical manifestations.
The survey scoring system was created by the researchers. Questions that contributed to Knowledge Score were numbers 4–7. Questions 4–6 asked participants to select all correct answer choices and were worth a total of five points each. Participants were awarded one point for selecting each correct answer choice and one point for not selecting each incorrect answer choice. Question 7 had one correct answer choice and was worth was worth one point.
Variable definitions
We investigated multiple variables to explain the variation in scores between participants. Variables included type of healthcare provider, medical specialty, location of medical education and training based on US census regions, medical education graduation year, gender, practice environment, primary type of patient insurance coverage, genetics exposure in training, whether a genetic counselor is employed in their clinic, comfort level explaining reproductive carrier screening, and number of patients seen with POI per year. Genetics exposure in training includes learning about genetics in didactic coursework or clinical clerkships during medical education and exposure during subsequent clinical training. Participants were asked to specify the phase(s) of training in which they were exposed to genetics education.
Healthcare providers were divided into groups by practice specialty, which include general obstetrics and gynecology (OBGYN), maternal–fetal medicine (MFM), reproductive endocrinology (REI), and others. The other group, which was created due to sample size, include providers who practice in minimally invasive gynecologic surgery (MIGS), female pelvic medicine and reconstructive surgery, and family planning. Medical students who expressed interest in pursuing a career in OBGYN were included in this study to collect up to date data on genetics education in medical school and to help assess if FXPOI knowledge has improved over time.
Statistical methods
Standard statistical methods were used. Knowledge Scores are reported as mean ± standard deviation. Differences in Knowledge Scores among demographic groups were examined using an analysis of variance (ANOVA) model. ANOVA models to compare means between demographic groups and significant differences between groups were determined using Tukey’s post hoc analysis to control for multiple testing. Descriptive analysis was used to provide a comprehensive overview of the survey responses. Because multiple predictor variables were significant, we tested an overall model that adjusted for each significant covariant. This final model adjusted for specialty, genetic counselor employed in clinic, and medical school graduation year.
All analyses were completed using SAS 9.4. A copy of the survey is included in supplemental materials (1).
Results
An online survey completed by 121 participants resulted in a mean Knowledge Score of 6.92 (± 2.19) out of a possible 16 points based on knowledge of FXPOI reproductive risks, personal health risks, clinical manifestations, and CGG repeat size. Descriptive variables about the study population are shown in Table 1, and a breakdown of the responses to each of these questions is shown in Table 2. In general, the majority of participants were physicians that practiced in an academic setting. The most frequently reported specialty was general OBGYN (n = 60). The majority had exposure to genetics in training and felt somewhat or extremely comfortable explaining carrier screening results.
Table 2
Result summary of knowledge score questions: percentage of participants that selected each answer choice
Survey question
Answer choices
Which of the following would raise suspicion for Fragile X premutation status and prompt further testing if a patient had no other remarkable personal or family history? Check all that apply:
Sister with unexplained infertility at 28
Elevated FSH levels
Nephew with intellectual disability
Elevated estrogen levels
Elevated progesterone levels
51%
61%
74%
5%
1%
What reproductive counseling would you give to a female patient with an identified Fragile X premutation? Check all that apply:
Risk of having a child with intellectual disabilities
Risk for reduced fertility
Referral to genetics
Discuss pre-implantation genetic testing (PGT)
Test reproductive partner for carrier status
85%
80%
91%
57%
36%
What personal health risks would you discuss with a female patient with an identified Fragile X premutation? Check all that apply:
Mental health complications
Tremor and ataxia
Hot flashes and night sweats
Risk for blood clotting
There is no risk to personal health because it is not a full mutation
49%
35%
55%
12%
19%
How many CGG repeats in the FMR1 gene constitutes a premutation?
5–44
45–54
55–200
over 200
15%
20%
56%
8%
Bolded responses are correct
Anzeige
Forty-seven percent of participants reported having a genetic counselor employed in their clinic. This group scored 1.65 points (27%) higher than participants that did not have a genetic counselor in their clinic, proving to be the strongest predictor of FXPOI knowledge (p = 0.0001). Additionally, providers that practice in MFM and REI scored significantly higher (p = 0.0189 and 0.0288, respectively) than providers that practice in OBGYN using an ANOVA model to compare the individual groups (Fig. 1). In addition, medical school graduation year was a significant predictor for knowledge score (p = 0.0397). In general, Knowledge Score increased over time with graduation year, except for the group that graduated between 2000 and 2009, which scored the highest (Fig. 1). The following variables did not show significant differences when analyzed: gender, number of patients with POI seen per year, exposure to genetics in training, location of medical education and training, comfort level explaining reproductive carrier screening, and type of healthcare provider.
×
Based on significant predictor variables of Knowledge Score, we created an overall model that adjusted for the significant variables. Interaction terms between variables were also tested. The frequency of having a genetic counselor in the clinic was significantly different based on specialty; 35% of OBGYNs, 39% of REIs, and 95% of MFMs reported having a genetic counselor employed in their clinic. Therefore, an interaction term between these two variables was included in the final model. This interaction term did not reach significance (p = 0.0557); however, specialty and genetic counselor in clinic both maintained statistical significance (p = 0.0123 and p = 0.0117, respectively) (Table 3).
Table 3
Overall model, adjusted for significant covariates for predicting knowledge score
p-value
Overall model
< 0.0001
Specialty
0.0123
Genetic counselor in clinic
0.0117
Medical school graduation year
0.0018
GC in clinic*Specialty
0.0557
Bolded p-values indicate statistical significance
Baseline knowledge of POI was assessed by question 9, an open-ended question that reads, “What symptoms would make you suspicious of POI?” Of 107 survey respondents, 106 responded to this question. Two incorrect responses included vasovagal symptoms and symptoms beginning before age 45 years. The other 104 responses included correct POI symptoms such as amenorrhea, irregular menses, infertility, and vasomotor symptoms.
To assess practices surrounding a common POI presentation, survey question 3 reads, “A 25-year-old female patient presents with inconsistent menstrual cycles, what are your next steps?” Participants were asked to select all answers that apply. The six answer choices represent two categories. The first category includes steps that would help providers to collect information that is informative for a FXPOI workup. The second category includes next steps that would not collect more information for a FXPOI workup (Fig. 2). REIs selected the most responses that would provide information relevant to a FXPOI workup, followed by MFMs and OBGYNs.
×
Anzeige
Survey questions 5 and 6 assess knowledge of premutation-associated risks. Participants were asked to select all answers that apply. Question 5 reads, “What reproductive counseling would you give to a female patient with an identified fragile X premutation?” assessing knowledge of premutation associated reproductive risks. Seventy percent of responses were correct and 30% of responses were incorrect. Question 6 reads, “What personal health risks would you discuss with a female patient with an identified fragile X premutation?” assessing knowledge of premutation-associated personal health risks. Thirty-four percent of responses were correct, and 66% of responses were incorrect (Fig. 3). Together, these findings indicate that women’s healthcare providers have a better understanding of the reproductive risks compared to the personal health risks for women with a premutation.
×
Conclusion
Results of this study demonstrate that women’s healthcare providers have limited knowledge on FXPOI, consistent with patients’ reports when interviewed in previous literature [4, 5, 10]. The average Knowledge Score was 6.92 (43%) out of a possible 16. The minimum was 1 (6%), and the maximum was 11 (69%).
Predictor variables for knowledge of FXPOI include medical specialty, medical school graduation year, and having a genetic counselor employed in the clinic in which they practice. Providers that practice in maternal fetal medicine scored significantly higher than those who practice in general obstetrics and gynecology in the final model that was adjusted for all covariates. Typically, however, patients first report POI symptoms to their OBGYN, not to a specialist, which may contribute to delayed time to diagnosis [10].
Except for medical school graduation years between 2000 and 2009, who scored highest, Knowledge Scores increased gradually over time. This is likely due in part to an increasing amount of research and recommendations surrounding FXS and FXPOI. ACOG’s current Committee Opinion on carrier screening for genetic conditions recommends carrier screening to assess whether a premutation is present in women with unexplained ovarian insufficiency or failure or an elevated follicle-stimulating hormone level before 40 years of age. This recommendation was originally introduced in 2006, republished in 2017, and most recently reaffirmed in 2023 [9]. More recent additions to this Committee Opinion include that all identified fragile X premutation carriers should be provided follow-up genetic counseling to discuss the risk to their offspring of inheriting an expanded full mutation fragile X allele and to discuss fragile X-associated disorders [9].
Anzeige
Eighty-eight percent of participants reported having exposure to genetics in their medical training, clinical education, or both. This high percentage should be encouraging but showed no effect on Knowledge Scores. The 2023 Accreditation Council for Graduate Medical Education (AAMC) Medical School Graduate Questionnaire reported that 26% of medical students did not feel that their didactic genetics coursework prepared them well for their clinical clerkships, which has remained consistent over the past 5 years [11]. Previous research has shown that application of genetics knowledge is not often stressed in medical school, and medical students do not see their preceptors using genetics knowledge in clinical rotations [12]. Additionally, a 2014 survey of North American medical school course directors shows that a majority of formal genetics education occurs in the first 2 years of medical school and has declined in the latter 2 years since 2005 (26% vs. 47%) [13, 14]. Furthermore, genomics is a required core content area in US OBGYN residency programs accredited by the AAMC, and OBGYN resident physicians are expected to acquire knowledge and skills in several areas, including the role of genetics in the development and evaluation of infertility and genetic counseling [15].
Employment of a genetic counselor in women’s health clinics proved to be the variable that showed the strongest statistical significance in facilitating FXPOI knowledge (p = 0.0001). This variable was tested for each of the individual questions included in the knowledge score, and there was a significant improvement in scores for all of the questions for individuals that reported having a genetic counselor in their clinic. This suggests that providers who work with genetic counselors are more educated on fragile X-associated conditions and can be a better resource for affected patients. However, genetic counselors are currently more likely to be employed in specialty clinics, including MFM and REI, than in a general OBGYN clinic. Delivering genetics education to healthcare professionals is a curriculum requirement for genetic counseling graduate programs accredited by the Accreditation Council for Genetic Counseling [16]. Genetic counselors continue to employ this skill throughout their careers as effectively communicating genetics information to colleagues is part of the practice-based competencies for genetic counselors [17]. Due to their expertise in both genetic knowledge and education, genetic counselors prove to be an asset to the care team of patients and families with fragile X premutations and FXS.
Based on POI symptom responses, providers seem to understand what symptoms to associate with primary ovarian insufficiency; gaps lie in connecting personal health risks with a diagnosis of FXPOI as well establishing the diagnosis. The mean time from symptom onset to achieving a FXPOI diagnosis is 1.12 years and is longer for women that are younger at the time of symptom onset. Time to diagnosis has not shown improvement in the last three decades. Even when patients were aware of their premutation status, average time to diagnosis after symptom onset is 0.75 years [5].
This study builds upon data collected in previous qualitative research. When asked how their diagnostic and care experience could be improved, all interviewees in the study completed by Poteet et al. discussed the need for increased premutation education and awareness by clinicians [10]. Experiences from these 24 participants have now been quantified by directly surveying providers.
Limitations
A limitation to this study is that many of our participants (55%) completed their medical education or training in the Southern United States, which is likely due to the location of the researchers and the nature of recruitment. Because of this, our sample may not be representative of the USA as a whole. Another limitation is that most of our participants practice in academic medical centers (AMC), and because of this, may have performed better than providers employed in a private practice or community hospital due to AMCs’ focus on research and education. Providers at AMCs may also have more access and employer funding to attend educational conferences and seminars. We plan to address knowledge gaps in providers of all practice types with use of the provider-focused FXPOI educational tool that is currently in development. Additionally, 80% of participants identify as female, although Knowledge Scores did not show a significant difference between genders. However, 87% of active OBGYNs in the 2022–2023 academic year identified as female, so our gender distribution is approximately representative of the field [18]. Furthermore, only 121 participants completed the survey limiting generalizability to all women’s healthcare providers and medical students.
Future Directions
Future directions include creating an educational tool targeted toward women’s healthcare providers using the gaps in knowledge identified in this study to increase awareness and knowledge surrounding FXPOI as well as improving practices to shorten time to diagnosis. This educational tool will be tested amongst providers to determine if FXPOI knowledge increases after implementation. If providers can recognize POI symptoms earlier, the time of diagnostic odyssey may be decreased in women with a premutation, allowing for improvement of quality of life and reproductive outcomes for women with FXPOI.
Declarations
Conflict of interest
Alexandra Singleton, Heather Hipp, Bonnie Poteet and Emily Allen declare that they have no conflicts of interest. Nadia Ali has received research support from Sanofi Genzyme, Shire Takeda, BioMarin, Amicus, and Pfizer, as well as lecturers’ honoraria from Sanofi Genzyme, BioMarin, Amicus, and Vitaflo. These activities are monitored and in compliance with conflict of interest policies at Emory University.
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Mit e.Med Gynäkologie erhalten Sie Zugang zu CME-Fortbildungen der beiden Fachgebiete, den Premium-Inhalten der Fachzeitschriften, inklusive einer gedruckten gynäkologischen oder urologischen Zeitschrift Ihrer Wahl.
Mit dem Einsatz künstlicher Intelligenz lässt sich die Detektionsrate im Mammografiescreening offenbar deutlich steigern. Mehr unnötige Zusatzuntersuchungen sind laut der Studie aus Deutschland nicht zu befürchten.
Von mäßigen bis schweren vasomotorischen Beschwerden sind 14,7% der Frauen in der Postmenopause betroffen. Das haben kanadische Forscherinnen in einer Subgruppenanalyse der WARM-Studie herausgefunden.
Am 15. Januar geht die „ePA für alle“ zunächst in den Modellregionen an den Start. Doch schon bald soll sie in allen Praxen zum Einsatz kommen. Was ist jetzt zu tun? Was müssen Sie wissen? Wir geben in einem FAQ Antworten auf 21 Fragen.
Nach privat bezahlter In-vitro-Fertilisation muss die gesetzliche Krankenkasse ein Arzneimittel zum Erhalt der Schwangerschaft bezahlen, so ein Urteil des Sozialgerichts in München.