Anti-Mullerian hormone (AMH) test information on Australian and New Zealand fertility clinic websites: a content analysis

ChatGPT: a reliable fertility decision-making tool?

The internet is the primary source of infertility-related information for most people who are experiencing fertility issues. Although no longer shrouded in stigma, the privacy of interacting only with a computer provides a sense of safety when engaging with sensitive content and allows for diverse and geographically dispersed communities to connect and share their experiences. It also provides businesses with a virtual marketplace for their products. The introduction of ChatGPT, a conversational language model developed by OpenAI to understand and generate human-like text in response to user input, in November 2022, and other emerging generative artificial intelligence (AI) language models, has changed and will continue to change the way we interact with large volumes of digital information. When it comes to its application in health information seeking, specifically in relation to fertility in this case, is ChatGPT a friend or foe in helping people make well-informed decisions? Furthermore, if deemed useful, how can we ensure this technology supports fertility-related decision-making? After conducting a study into the quality of the information provided by ChatGPT to people seeking information on fertility, we explore the potential benefits and pitfalls of using generative AI as a tool to support decision-making.

Attitudes, knowledge and practice regarding the anti-müllerian hormone test among general practitioners and reproductive specialists: A cross-sectional study

OBJECTIVE

To describe clinicians' attitudes, knowledge and practice relating to the anti-müllerian hormone (AMH) test.

DESIGN

Cross-sectional nationwide survey.

SETTING

Australia.

POPULATION OR SAMPLE

A total of 362 general practitioners (GPs), gynaecologists and reproductive specialists.

METHODS

Clinicians were recruited through relevant professional organisations, with data collected from May 2021 to April 2022.

MAIN OUTCOME MEASURES

Clinicians' attitudes, knowledge and practice relating to the AMH test, measured using multiple choice, Likert scales and open-ended items.

RESULTS

Fifteen percent of GPs (n = 27) and 40% of gynaecologists and other specialists (n = 73) order at least one AMH test per month. Specialists reported raising the idea of testing most of the time, whereas GPs reported that patient request was more common. Half of clinicians lacked confidence interpreting (n = 182, 51%) and explaining (n = 173, 48%) an AMH result to their patients. Five percent (n = 19) believed the test was moderately/very useful in predicting natural conception/birth and 22% (n = 82) believed the same for predicting premature menopause, despite evidence that the test cannot reliably predict either. Forty percent (n = 144) had previously ordered the test to help with reproductive planning and 21% (n = 75) to provide reassurance about fertility.

CONCLUSIONS

Clinicians reported use of AMH testing in clinical circumstances not supported by the evidence. With the proliferation of direct-to-consumer testing, efforts to support clinicians in the judicious use of testing and effectively navigating patient requests are needed.

Direct-to-consumer tests advertised online in Australia and their implications for medical overuse: systematic online review and a typology of clinical utility

OBJECTIVES

The objective of this study is to map the range and variety of direct-to-consumer (DTC) tests advertised online in Australia and analyse their potential clinical utility and implications for medical overuse.

DESIGN

Systematic online search of DTC test products in Google and Google Shopping. DTC test advertisements data were collected and analysed to develop a typology of potential clinical utility of the tests at population level, assessing their potential benefits and harms using available evidence, informed by concepts of medical overuse.

RESULTS

We identified 484 DTC tests (103 unique products), ranging from $A12.99 to $A1947 in cost (mean $A197.83; median $A148.50). Using our typology, we assigned the tests into one of four categories: tests with potential clinical utility (10.7%); tests with limited clinical utility (30.6%); non-evidence-based commercial 'health checks' (41.9%); and tests whose methods and/or target conditions are not recognised by the general medical community (16.7%). Of the products identified, 56% did not state that they offered pretest or post-test consultation, and 51% did not report analytical performance of the test or laboratory accreditation.

CONCLUSIONS

This first-in-Australia study shows most DTC tests sold online have low potential clinical utility, with healthy consumers constituting the main target market. Harms may be caused by overdiagnosis, high rates of false positives and treatment decisions led by non-evidence-based tests, as well as financial costs of unnecessary and inappropriate testing. Regulatory mechanisms should demand a higher standard of evidence of clinical utility and efficacy for DTC tests. Better transparency and reporting of health outcomes, and the development of decision-support resources for consumers are needed.

Websites Selling Direct-to-Consumer Anti-Mullerian Hormone Tests

Importance

The recent provision of direct-to-consumer (DTC) Anti-Mullerian Hormone (AMH) testing in several countries has been contentious, particularly due to concerns about judicious testing and informed consent.

Objective

To describe and analyze information on websites that sell DTC AMH tests.

Design, Setting, and Participants

Qualitative study including content analysis of text information from websites in multiple countries that sell AMH tests DTC. The top 50 search results from 4 different internet search strings were captured and reviewed for eligibility. Data were extracted in March 2022 and analyzed from April 2022 to July 2023.

Main outcomes and measures

Themes and categories were derived from the website content using a conventional inductive approach, with a particular focus on information content, quality and accuracy, as well as the tone and language used.

Results

Twenty-seven websites across 7 different countries formed the sample for analysis. Information varied considerably across websites and was organized into 6 overarching categories: (1) whether a test description was included (25 websites [93%]); (2) statements about what the test can do, which included indicating ovarian reserve (26 websites [96%]) and indicating likelihood of conceiving (20 websites [74%]); (3) statements about the usefulness of the test result, which included enabling women to adjust their reproductive timeline (11 websites [41%]) and determining whether egg freezing was a viable option (8 websites [30%]); (4) blood collection method (ie, through a laboratory or an at-home sample); (5) promotion tactics, such as stating the convenience of testing (24 websites [89%]) and using language promoting empowerment and control (7 websites [26%]); and (6) statements about limitations of the test, which included polycystic ovary syndrome falsely inflating AMH levels (13 websites [48%]) and that it cannot accurately predict chances of conceiving (9 websites [33%]).

Conclusion and relevance

In this qualitative study including content analysis, most websites selling DTC AMH tests included false and misleading claims which might lead consumers to purchase an AMH test in the belief that it can reliably predict fertility potential and age of menopause. Depending on the test result, this may in turn lead to misplaced anxiety or reassurance about one's fertility and modifications to subsequent conception or contraceptive plans and behavior.