Survivorship Care for Women Living With Ovarian Cancer: Protocol for a Randomized Controlled Trial.

chronic survivorship metastatic survivor metavivor ovarian cancer persons living with cancer quality of life survivor survivorship care survivorship transition

Journal

JMIR research protocols
ISSN: 1929-0748
Titre abrégé: JMIR Res Protoc
Pays: Canada
ID NLM: 101599504

Informations de publication

Date de publication:
09 Feb 2024
Historique:
received: 26 05 2023
accepted: 13 12 2023
revised: 01 12 2023
medline: 9 2 2024
pubmed: 9 2 2024
entrez: 9 2 2024
Statut: epublish

Résumé

Ovarian cancer ranks 12th in cancer incidence among women in the United States and 5th among causes of cancer-related death. The typical treatment of ovarian cancer focuses on disease management, with little attention given to the survivorship needs of the patient. Qualitative work alludes to a gap in survivorship care; yet, evidence is lacking to support the delivery of survivorship care for individuals living with ovarian cancer. We developed the POSTCare survivorship platform with input from survivors of ovarian cancer and care partners as a means of delivering patient-centered survivorship care. This process is framed by the chronic care model and relevant behavioral theory. The overall goal of this study is to test processes of care that support quality of life (QOL) in survivorship. The specific aims are threefold: first, to test the efficacy of the POSTCare platform in supporting QOL, reducing depressive symptom burden, and reducing recurrence worry. In our second aim, we will examine factors that mediate the effect of the intervention. Our final aim focuses on understanding aspects of care platform design and delivery that may affect the potential for dissemination. We will enroll 120 survivors of ovarian cancer in a randomized controlled trial and collect data at 12 and 24 weeks. Each participant will be randomized to either the POSTCare platform or the standard of care process for survivorship. Our population will be derived from 3 clinics in Texas; each participant will have received some combination of treatment modalities; continued maintenance therapy is not exclusionary. We will examine the impact of the POSTCare-O platform on QOL at 12 weeks after intervention as the primary end point. We will look at secondary outcomes, including depressive symptom burden, recurrence anxiety, and physical symptom burden. We will identify mediators important to the impact of the intervention to inform revisions of the intervention for subsequent studies. Data collection was initiated in November 2023 and will continue for approximately 2 years. We expect results from this study to be published in early 2026. This study will contribute to the body of survivorship science by testing a flexible platform for survivorship care delivery adapted for the specific survivorship needs of patients with ovarian cancer. The completion of this project will contribute to the growing body of science to guide survivorship care for persons living with cancer. ClinicalTrials.gov NCT05752448; https://clinicaltrials.gov/study/NCT05752448. PRR1-10.2196/48069.

Sections du résumé

BACKGROUND BACKGROUND
Ovarian cancer ranks 12th in cancer incidence among women in the United States and 5th among causes of cancer-related death. The typical treatment of ovarian cancer focuses on disease management, with little attention given to the survivorship needs of the patient. Qualitative work alludes to a gap in survivorship care; yet, evidence is lacking to support the delivery of survivorship care for individuals living with ovarian cancer. We developed the POSTCare survivorship platform with input from survivors of ovarian cancer and care partners as a means of delivering patient-centered survivorship care. This process is framed by the chronic care model and relevant behavioral theory.
OBJECTIVE OBJECTIVE
The overall goal of this study is to test processes of care that support quality of life (QOL) in survivorship. The specific aims are threefold: first, to test the efficacy of the POSTCare platform in supporting QOL, reducing depressive symptom burden, and reducing recurrence worry. In our second aim, we will examine factors that mediate the effect of the intervention. Our final aim focuses on understanding aspects of care platform design and delivery that may affect the potential for dissemination.
METHODS METHODS
We will enroll 120 survivors of ovarian cancer in a randomized controlled trial and collect data at 12 and 24 weeks. Each participant will be randomized to either the POSTCare platform or the standard of care process for survivorship. Our population will be derived from 3 clinics in Texas; each participant will have received some combination of treatment modalities; continued maintenance therapy is not exclusionary.
RESULTS RESULTS
We will examine the impact of the POSTCare-O platform on QOL at 12 weeks after intervention as the primary end point. We will look at secondary outcomes, including depressive symptom burden, recurrence anxiety, and physical symptom burden. We will identify mediators important to the impact of the intervention to inform revisions of the intervention for subsequent studies. Data collection was initiated in November 2023 and will continue for approximately 2 years. We expect results from this study to be published in early 2026.
CONCLUSIONS CONCLUSIONS
This study will contribute to the body of survivorship science by testing a flexible platform for survivorship care delivery adapted for the specific survivorship needs of patients with ovarian cancer. The completion of this project will contribute to the growing body of science to guide survivorship care for persons living with cancer.
TRIAL REGISTRATION BACKGROUND
ClinicalTrials.gov NCT05752448; https://clinicaltrials.gov/study/NCT05752448.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) UNASSIGNED
PRR1-10.2196/48069.

Identifiants

pubmed: 38335019
pii: v13i1e48069
doi: 10.2196/48069
doi:

Banques de données

ClinicalTrials.gov
['NCT05752448']

Types de publication

Journal Article

Langues

eng

Pagination

e48069

Informations de copyright

©Elizabeth Kvale, Farya Phillips, Samiran Ghosh, Jayanthi Lea, Claire Hoppenot, Anthony Costales, Jan Sunde, Hoda Badr, Eberechi Nwogu-Onyemkpa, Nimrah Saleem, Rikki Ward, Bijal Balasubramanian. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 09.02.2024.

Auteurs

Elizabeth Kvale (E)

Section of Geriatrics and Palliative Medicine, Department of Medicine, Baylor College of Medicine, Houston, TX, United States.

Farya Phillips (F)

Steve Hicks School of Social Work, The University of Texas at Austin, Austin, TX, United States.

Samiran Ghosh (S)

Department of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center, Houston, TX, United States.

Jayanthi Lea (J)

Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, TX, United States.

Claire Hoppenot (C)

Department of Gynecologic Oncology, Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX, United States.

Anthony Costales (A)

Department of Gynecologic Oncology, Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX, United States.

Jan Sunde (J)

Department of Gynecologic Oncology, Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX, United States.

Hoda Badr (H)

Department of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, United States.

Eberechi Nwogu-Onyemkpa (E)

Section of Geriatrics and Palliative Medicine, Department of Medicine, Baylor College of Medicine, Houston, TX, United States.

Nimrah Saleem (N)

Section of Geriatrics and Palliative Medicine, Department of Medicine, Baylor College of Medicine, Houston, TX, United States.

Rikki Ward (R)

University of Texas Health Houston School of Public Health - Dallas Campus, Dallas, TX, United States.

Bijal Balasubramanian (B)

Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center, Houston, TX, United States.

Classifications MeSH