Integrating primary care and childhood cancer survivorship care: a scoping review protocol

Abstract

Introduction Improved treatment regimens have led to increased survival rates among childhood cancer survivors (CCS), and more than 84% of all children diagnosed with cancer will experience long-term survival or cure. Survivors are susceptible to late effects of cancer treatment often requiring lifelong follow-up care, as many of these conditions can be prevented or mitigated with surveillance. Integrating primary care (PC) and childhood cancer survivorship care can improve follow-up for survivors, however, little integrative research exists. This scoping review aims to: identify and describe existing models of care that integrate PC and childhood cancer survivorship care, examine the effectiveness of these models of care, and characterise the barriers and facilitators for the integration of PC for CCS.Methods and analysis A comprehensive empirical literature search of three electronic databases (PubMed, CINAHL, and Embase) was employed to identify potentially relevant citations on 1 October 2020. The population, independent variables/intervention, comparator, outcomes, timing, setting and study design/other limiters (PICOTSS) framework was used to inform protocol development. The Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist and explanation will be used to report study findings. The search strategy will be completed again prior to publication to ensure recent empirical research is accounted for.Ethics and dissemination This research is exempt from Institutional Review Board (IRB) review. Approval from a research ethics board for this study was not required as it does not involve human participants or unpublished secondary data. The findings from this scoping review will be disseminated through peer-reviewed scientific manuscripts, clinical conference presentations, professional networks and digital communications using social media platforms such as Twitter. This study has been registered with Open Science Framework: https://osf.io/92xbg.