PURPOSE: Increasing numbers of haematology cancer survivors warrants identification of the most effective model of survivorship care to survivors from a diverse range of haematological cancers with aggressive treatment regimens. This review aimed to identify models of survivorship care to support the needs of haematology cancer survivors. METHOD: An integrative literature review method utilised a search of electronic databases (CINAHL, Medline, PsycInfo, PubMed, EMBASE, PsycArticles, and Cochrane Library) for eligible articles (up to July 2014). Articles were included if they proposed or reported the use of a model of care for haematology cancer survivors. RESULTS: Fourteen articles were included in this review. Eight articles proposed and described models of care, and six reported the use of a range of survivorship models of care in haematology cancer survivors. No randomised controlled trials or literature reviews were found to have been undertaken specifically with this cohort of cancer survivors. There was variation in the models described and who provided the survivorship care. CONCLUSION: Due to the lack of studies evaluating the effectiveness of models of care, it is difficult to determine the best model of care for haematology cancer survivors. Many different models of care are being put into practice before robust research is conducted. Therefore, well-designed high-quality pragmatic randomised controlled trials are required to inform clinical practice.
PURPOSE: Increasing numbers of haematology cancer survivors warrants identification of the most effective model of survivorship care to survivors from a diverse range of haematological cancers with aggressive treatment regimens. This review aimed to identify models of survivorship care to support the needs of haematology cancer survivors. METHOD: An integrative literature review method utilised a search of electronic databases (CINAHL, Medline, PsycInfo, PubMed, EMBASE, PsycArticles, and Cochrane Library) for eligible articles (up to July 2014). Articles were included if they proposed or reported the use of a model of care for haematology cancer survivors. RESULTS: Fourteen articles were included in this review. Eight articles proposed and described models of care, and six reported the use of a range of survivorship models of care in haematology cancer survivors. No randomised controlled trials or literature reviews were found to have been undertaken specifically with this cohort of cancer survivors. There was variation in the models described and who provided the survivorship care. CONCLUSION: Due to the lack of studies evaluating the effectiveness of models of care, it is difficult to determine the best model of care for haematology cancer survivors. Many different models of care are being put into practice before robust research is conducted. Therefore, well-designed high-quality pragmatic randomised controlled trials are required to inform clinical practice.
Authors: D Howell; T F Hack; T K Oliver; T Chulak; S Mayo; M Aubin; M Chasen; C C Earle; A J Friedman; E Green; G W Jones; J M Jones; M Parkinson; N Payeur; C M Sabiston; S Sinclair Journal: J Cancer Surviv Date: 2012-07-10 Impact factor: 4.442
Authors: Laura P Forsythe; Neeraj K Arora; Catherine M Alfano; Kathryn E Weaver; Ann S Hamilton; Noreen Aziz; Julia H Rowland Journal: Support Care Cancer Date: 2014-01-12 Impact factor: 3.603
Authors: Milena Sant; Pamela Minicozzi; Morgane Mounier; Lesley A Anderson; Hermann Brenner; Bernd Holleczek; Rafael Marcos-Gragera; Marc Maynadié; Alain Monnereau; Gemma Osca-Gelis; Otto Visser; Roberta De Angelis Journal: Lancet Oncol Date: 2014-07-13 Impact factor: 41.316
Authors: Gregor Weißflog; Klaus Hönig; Harald Gündel; Dirk Lang; Dietger Niederwieser; Hartmut Döhner; Martin Vogelhuber; Anja Mehnert; Jochen Ernst Journal: Support Care Cancer Date: 2016-12-16 Impact factor: 3.603
Authors: Alexandre Chan; Fred Ashbury; Margaret I Fitch; Bogda Koczwara; Raymond Javan Chan Journal: Support Care Cancer Date: 2020-08 Impact factor: 3.603
Authors: Jamie Bryant; Rochelle Smits; Heidi Turon; Rob Sanson-Fisher; Jennifer Engel Journal: Support Care Cancer Date: 2018-03-09 Impact factor: 3.603