Next Steps: Survivor Healthcare Passport — A Novel Form of Survivorship Care Plan in the Pediatric Population

Author:

Valencia M. Clarise1,Hang Lindsay2,Schmidt Deb3,Nichols Julie3,Zhang Jian3,Yan Ke3,Gonzalez Alyssa3,Schwartz Cindy L.3,Phelan Rachel3

Affiliation:

1. Pediatrics

2. Internal Medicine-Pediatrics, Medical College of Wisconsin Affiliated Hospitals Inc.

3. Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI

Abstract

Purpose: Survivorship care plans (SCPs) have been instrumental in aiding transition from cancer treatment to survivorship care, which contains the diagnosis, treatment, potential late effects, and recommended follow-up. There has been paucity of research on its efficacy and lack of guidelines on development and delivery of SCPs. The Next Steps Survivorship Clinic at Children’s Wisconsin uses a Survivorship Healthcare Passport (SHP), a SCP pocket-sized card. This study aims to improve understanding of patient and parent use of the SHP at a single institution. Materials and Methods: An electronic survey was distributed to cancer survivors (14 to 28 y old) and parents/guardians who received the SCP. Data was analyzed with descriptive and correlation statistics. Results: Older survivors were reliable in carrying their SHP, and endorsed greater confidence in understanding its contents leading to a notion of improved ability to coordinate care. Younger survivors tend to rely on their parents. A preference for a smartphone application as another platform was noted. Conclusions: This form of SCP has shown to benefit older survivors which directly impacts the notion of efficacy in care coordination. Implication for Cancer Survivors: Providing easy-to-access information may encourage survivors to advocate for their health and to facilitate transition of care.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Oncology,Hematology,Pediatrics, Perinatology and Child Health

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Nemzeti Gyermekonkológiai Regiszter;Orvosi Hetilap;2024-06-16

2. Development and evaluation of models for differential diagnosis of clinical and hematologic syndromes based on ensemble machine learning methods;2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA);2024-05-23

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