| Literature DB >> 35577464 |
Sarah E Piombo1, Julia Stal2, Dalia Kagramanov1, Lynn Kysh3, David R Freyer1,4,5,6, Barbara J Turner7,8, Kimberly A Miller1,9.
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 Approval from a research ethics board for this study was not required as it does not involve human participants or unpublished secondary data.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. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: ONCOLOGY; PRIMARY CARE; Paediatric oncology; Quality in health care
Mesh:
Year: 2022 PMID: 35577464 PMCID: PMC9115019 DOI: 10.1136/bmjopen-2021-059050
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 3.006
Criteria for inclusion/exclusion of studies
| PICOTSS | Inclusion | Exclusion |
| Population |
Paediatric/childhood survivors diagnosed at or before age 21. The author’s definition of a CCS will also be accepted. Samples that include at least 50% CCS or include a subgroup analysis will be included. Survivors must have completed active cancer treatment. PCPs of various disciplines and titles including, but not limited to, general practitioners, family medicine practitioners, and/or gynaecologists. |
Not diagnosed with cancer at or before age 21. The author does not otherwise define CCS. Study sample is not over 50% CCS and does not include subgroup analyses. Survivors on active cancer treatment, in hospice, or receiving palliative care services. Providers who are not directly involved with primary healthcare service. |
| Independent variables and interventions |
Studies must include both cancer survivorship care and PC for CCS. |
Studies that mention only cancer survivorship care or only PC and are not focused on CCS. |
| Comparators |
Studies may compare CCS to the general population using any variables in addition to PC care models. Studies may compare oncologists to PCPs, or any combination of healthcare providers. |
Studies not addressing PC models of survivorship care among CCS. |
| Outcomes |
Integration of PC in CCS survivorship care. Barriers and facilitators to PC integration in paediatric survivorship care. |
Studies that do not relate to PCPs and CCS survivorship care. |
| Timing |
Studies may include long-term CCS or recently diagnosed, off treatment CCS. |
No time constraints will be applied. |
| Setting |
Studies from countries in the Commonwealth Fund’s high-income country list: Australia, Canada, France, Germany, the Netherlands, Japan, New Zealand, Norway, Sweden, Switzerland, the UK, and the USA. |
Studies from countries |
| Study design and other limiters |
English-language publications. Quantitative or qualitative empirical studies. |
Studies exclusively reported in non-English publications. Case report or case study. Psychometric study. Systematic and literature reviews will be retained for manuscript development but are not eligible for inclusion. |
CCS, childhood cancer survivors; PC, primary care; PCP, primary care provider.
Data charting form
| Characteristics | Components |
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| Citation information | 1. Study title |
| Study demographics | 5. Country of study location (eg, commonwealth country list) |
| Intervention characteristics | 7. Study setting (eg, inpatient, home, university, community medical setting) |
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| Research methods | 10. Research design (eg, observation, experimental, non-research) |
| Study characteristics | 14. Duration of study |
| Sample characteristics | 16. Sample size |
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| Model of care characteristics | 26. Detail reimbursement structure of care model |
| Clinical characteristics | 30. Symptom tracking (eg, late effects) |
| Barriers | 33. Barriers to PC delivered survivorship care |
| Facilitators | 34. Facilitators to PC delivered survivorship care |
| Additional survivorship concerns | 35. Adherence to prevention care, preventive screenings, psychosocial or general health outcomes, comorbid conditions |
CCS, childhood cancer survivors; PC, primary care; PCP, primary care provider.