The Impact of the SPIKES Protocol With IVF Patients

NCT ID: NCT04917445

Last Updated: 2022-05-26

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

136 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-06-17

Study Completion Date

2022-05-24

Brief Summary

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The purpose of this study is to determine if the utilization of the SPIKES protocol for delivering bad news is perceived to be more compassionate and effective than the current standard of care for IVF patients receiving negative pregnancy test results.

Detailed Description

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Presently, nurses at Boston IVF (BIVF) and Weill Cornell Medical Center Division of Reproductive Medicine (Cornell) do not have a scripted method to deliver negative pregnancy tests to in Vitro Fertilization (IVF) patients. This study will invite clinic nurses to assist in the research protocol; half of the nurses will be randomized to be trained on a compassionate way to deliver bad news following the SPIKES protocol, while the other half will continue with the current standard of care of news delivery. The patients who receive the negative test phone calls from participating nurses will be surveyed to see if the method of which the news was delivered was scored as more compassionate, as well as if it was associated with reduced participants reported level of distress and depression.

Conditions

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Infertility

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

SUPPORTIVE_CARE

Blinding Strategy

SINGLE

Participants

Study Groups

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SPIKES Protocol Compassionate Call

Nurses trained to contact IVF patients with negative pregnancy test results who were trained on the SPIKES-focused bad news delivery script.

Group Type EXPERIMENTAL

Spikes-focused bad news protocol

Intervention Type BEHAVIORAL

Nurses trained to deliver bad news to IVF patients based on the Spikes-protocol for compassionately delivering bad news to patients.

Control: Standard of Care Call

Nurses who will continue to deliver bad news as they have been in the past without a script.

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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Spikes-focused bad news protocol

Nurses trained to deliver bad news to IVF patients based on the Spikes-protocol for compassionately delivering bad news to patients.

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

* Female
* Age \>18
* Underwent an embryo or blastocyst transfer using their own eggs at participating clinic
* Able to read and understand English
* Access to email
* Received a negative pregnancy test result phone call from a nurse involved in the research study

Exclusion Criteria

* Partners of patients undergoing treatment
Minimum Eligible Age

18 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

Yes

Sponsors

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Weill Medical College of Cornell University

OTHER

Sponsor Role collaborator

Boston IVF

OTHER

Sponsor Role lead

Responsible Party

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Alice Domar

Executive Director of Domar Center for Mind Body Health

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Alice Domar, PhD

Role: PRINCIPAL_INVESTIGATOR

Boston IVF

Locations

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Boston IVF

Waltham, Massachusetts, United States

Site Status

Weill Cornell Medical Center Division of Reproductive Medicine

New York, New York, United States

Site Status

Countries

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United States

References

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Domar AD, Korkidakis A, Bortoletto P, Gulrajani N, Khodakhah D, Rooney KL, Gompers A, Hacker MR, Grill E. The impact of an adapted SPIKES protocol vs routine care in the delivery of bad news to IVF patients: an exploratory pilot multicenter randomized controlled trial. J Assist Reprod Genet. 2024 Sep;41(9):2367-2377. doi: 10.1007/s10815-024-03198-3. Epub 2024 Jul 19.

Reference Type DERIVED
PMID: 39026124 (View on PubMed)

Other Identifiers

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BN2021

Identifier Type: -

Identifier Source: org_study_id

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