Literature DB >> 16914943

Accountability agenda must include home and community based care.

Judith Shamian1, Esther Shainblum, Jennifer Stevens.   

Abstract

Wait times and the wait times agenda are on the Canadian schedule. Although most Canadians support our healthcare system, they are concerned about access. Resolving the wait times agenda might help increase Canadian confidence in the system's ability to provide timely access to care. While the paper by Trypuc, MacLeod and Hudson demonstrates well how quickly governments can mobilize tools and resources to address pressing policy needs, it also reveals the limited and narrow approach taken by governments to the wait times agenda. The Ontario government should recognize that a more integrated and comprehensive approach can significantly advance the wait times agenda and make the system more accountable. Only a broad-based approach will ultimately succeed in reducing wait times and building a sustainable system. A shift in values needs to take place away from the current emphasis on acute care and toward an inclusive vision of home- and community-based care that puts more emphasis on disease management, chronic care and independent living, if there is ever to be any real progress in the battle. Governments will ultimately be held accountable by Canadian healthcare consumers if they fail to make this important shift.

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Year:  2006        PMID: 16914943     DOI: 10.12927/hcpap..18319

Source DB:  PubMed          Journal:  Healthc Pap        ISSN: 1488-917X


  3 in total

1.  The Untold Story of Being Designated an Alternate Level of Care Patient.

Authors:  Rose McCloskey; Pamela Jarrett; Connie Stewart
Journal:  Healthc Policy       Date:  2015-08

Review 2.  Optimization of home care nurses in Canada: A scoping review.

Authors:  Rebecca Ganann; Annette Weeres; Annie Lam; Harjit Chung; Ruta Valaitis
Journal:  Health Soc Care Community       Date:  2019-06-24

3.  Opinion versus practice regarding the use of rehabilitation services in home care: an investigation using machine learning algorithms.

Authors:  Lu Cheng; Mu Zhu; Jeffrey W Poss; John P Hirdes; Christine Glenny; Paul Stolee
Journal:  BMC Med Inform Decis Mak       Date:  2015-10-09       Impact factor: 2.796

  3 in total

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