ClinicalTrials.gg
RecruitingNCT07894302Updated Oct 26, 2026

Improving Women's Fertility Awareness and Reducing Anxiety Through Ovarian Reserve Screening and AI Counseling

An interventional study of AI-Enabled Fertility Counseling and Standard Educational Materials or PDF laboratory reports in Fertility Awareness, Ovarian Reserve and Family Planning, sponsored by City University of Hong Kong. Recruiting at 1 site in Hong Kong. Open to female participants aged 25 Years to 38 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-10-26.

Sponsored by City University of Hong Kong · Not applicable, Interventional, and Screening

From the registry’s dates

  • Registered 6 months after the study started (first participant enrolled Mar 2026, registered Oct 2026).
  • Started Mar 2026; still recruiting 7 months later.
Updated Oct 26, 2026Newly registeredGo to Updates ↓
Phase
Not applicable
Study type
Interventional
Enrollment
600
Allocation
Randomized
Ages
25 Years to 38 Years
Sex
Female
01

Study summary

This study evaluates the impact of preventive ovarian reserve screening and artificial intelligence (AI)-enabled counseling on fertility awareness and reproductive anxiety among women in Hong Kong. Hong Kong faces low birth rates, and reproductive anxiety regarding the biological clock remains a key barrier to family planning. Participants aged 25 to 38 years will be allocated to receive either anti-Müllerian hormone (AMH) blood testing combined with counseling or standard health education materials. The study compares an interactive AI conversational agent ("Shelby") with traditional written reports to evaluate whether AI communication improves comprehension of medical results, reduces anxiety, and enhances fertility intentions. Findings aim to inform future public health screening policies.

Read the detailed description

This joint study by the City University of Hong Kong (CityU) and The Chinese University of Hong Kong (CUHK) investigates the impact of preventive ovarian reserve screening and artificial intelligence (AI)-enabled health counseling on reproductive anxiety and family planning intentions among women in Hong Kong.

Hong Kong currently faces record-low fertility rates. While the government has implemented various financial subsidies and tax incentives, these measures fail to address the underlying psychological barriers and medical uncertainties surrounding biological clocks. To address this gap, the study employs a 2 x 2 quasi-experimental design using propensity score matching and RCT applied to evaluate 660 nulliparous women aged 25 to 38 years:

  • Intervention Group (n = 300): Participants receive an Anti-Müllerian Hormone (AMH) blood test to quantify ovarian reserve. Results are delivered either through an interactive, culturally tailored AI conversational agent named "Shelby" (Group 2A) or a traditional static PDF laboratory report (Group 2B).
  • Control Group (n = 300): Participants receive standard reproductive health education without biomarker testing, comparing interactive AI engagement (Group 1A) against standard educational brochures (Group 1B).

Key outcome measures evaluated at baseline and at a 2- to 4-week follow-up include medical comprehension accuracy, psychological distress assessed via the State-Trait Anxiety Inventory (STAI-6), patient enablement (PEI), willingness to pay, and long-term fertility intentions. Strict ethical safeguards and distress protocols are integrated to automatically escalate any acute psychological distress to professional counselors. The findings will provide empirical evidence to support policy recommendations for territory-wide subsidized fertility screening in public healthcare.

02

Conditions studied

  • Fertility Awareness
  • Ovarian Reserve
  • Family Planning

Keywords

  • Anti-Mullerian Hormon
  • Ovarian Reserve Screening
  • Family Planning
03

In context

Lead sponsor

City University of Hong Kong is the lead sponsor of 25 studies on the registry; 12 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
25 Years to 38 Years
Sexes eligible
Female
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Biologically female (assigned female at birth, with intact ovaries)
  • Aged 25 to 38 years
  • Fluent in written and spoken Chinese (Traditional or Simplified) or English
  • Has access to an internet-enabled smartphone or computer
  • Able to give electronic or written

Exclusion criteria

Exclusion Criteria:

  • Currently pregnant or breastfeeding
  • Known active, severe psychiatric or cognitive disorder that prevents informed - consent or completing the questionnaire
  • History of gynecological cancer
  • Currently receiving gonadotoxic chemotherapy or pelvic radiotherapy
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Phase
Not applicable
Primary purpose
Screening
Allocation
Randomized
Intervention model
Factorial assignment
Masking
None (open label)
Enrollment
600 participants (estimated)

Study arms

  • Experimental
    Intervention: AMH Testing with AI-Enabled Counseling

    Participants undergo Anti-Müllerian Hormone (AMH) blood testing. Personalized biomarker results and tailored fertility counseling are delivered via the interactive AI conversational agent ("Shelby"). Outcomes are assessed post-intervention.

    Behavioral: AI-Enabled Fertility Counseling

  • Experimental
    Intervention: AMH Testing with Static Lab Report

    Participants undergo Anti-Müllerian Hormone (AMH) blood testing. Biomarker results are delivered via a conventional static laboratory report displaying reference ranges without AI interaction.

    Behavioral: Standard Educational Materials or PDF laboratory reports

  • Active comparator
    Control: Non-AMH with AI-Driven Fertility Education

    Participants do not undergo AMH blood testing. If requested, participants are provided digital access to the AI conversational agent ("Shelby") for general fertility and reproductive health education without personalized biomarker data.

    Behavioral: AI-Enabled Fertility Counseling

  • Active comparator
    Control: Non-AMH with Standard Educational Website

    Participants do not undergo AMH blood testing and serve as the standard control. If requested, participants are provided access to standard informational websites/materials regarding general reproductive health.

    Behavioral: Standard Educational Materials or PDF laboratory reports

Interventions

  • BehavioralAI-Enabled Fertility Counseling

    An interactive AI conversational agent ('Shelby', shecare.ai) providing personalized, culturally tailored fertility education and AMH test interpretation with built-in safety protocols.

  • BehavioralStandard Educational Materials or PDF laboratory reports

    Provision of conventional static health education materials via standard medical brochures and/or standard PDF laboratory reports with reference ranges without interactive conversational AI features.

06

What researchers measure

Primary outcomes

  1. Change in Fertility Intentions and Reproductive Planning

    Assessed by comparing participants' responses to a standardized fertility intentions questionnaire completed at two time points (pre- and post-intervention). The questionnaire evaluates shifts in childbearing timeline, desired family size, interest in fertility preservation following AMH testing and educational delivery.

    Time frame: 2 to 4 weeks post-intervention

07

Study locations

1 of 1 sites recruiting
  • City University of Hong Kong
    Hong Kong, Kowloon 0000, Hong Kong
    Recruiting
    • Siu-Wai SIT, Master · Contactswsit6@city.edu.hk · +852 69026592
    • Wai-Kit MING, PhD · Principal investigator
    • Siu-Wai SIT, Mater · Sub investigator
    • Yuxin Zhou, PhD · Sub investigator
08

References and documents

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: Yes — Laboratory Anti-Müllerian Hormone (AMH) assay values. Raw conversational logs and direct identifying personal data will not be shared to protect participant privacy."

Supporting information: Study protocol, Statistical analysis plan

Time frame: 6 months and ending 36 months following article publication.

Access criteria: Data will be shared with approved researchers following a signed data access agreement and IRB approval.

09

Updates

1 registry update since Sep 25, 2026
Registered
First appeared on the registry. No changes since
Oct 26, 2026
Show all 1 update
  1. Oct 26, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07894302
Lead sponsor
City University of Hong Kong
Responsible party
SIT Siu Wai (P/T Lecturer, City University of Hong Kong) — Principal investigator
First posted
Oct 26, 2026
Start date
Mar 31, 2026
Primary completion
May 30, 2027 (estimated)
Completion
Dec 31, 2027 (estimated)
Last update
Oct 26, 2026

Study contacts

Wai-Kit MING, PhD
Contact
wkming2@cityu.edu.hk
+852 3442-6956
Siu-Wai SIT, Master
Contact
swsit6@city.edu.hk
+852 6902 6592

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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