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Health Policy Technol. 2017 Mar;6(1):67-71. doi: 10.1016/j.hlpt.2016.08.001. Epub 2016 Aug 20.

Information technology-enabled team-based, patient-centered care: The example of depression screening and management in cancer care.

Health policy and technology

Gurvaneet S Randhawa, David K Ahern, Bradford W Hesse

Affiliations

  1. Health Systems and Interventions Research Branch, Healthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, 3E442, Bethesda, MD 20892-9761, United States.
  2. Health Communications and Informatics Research Branch, Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, United States.
  3. Program in Behavioral Informatics and eHealth, Brigham & Women's Hospital, United States.

PMID: 28948138 PMCID: PMC5609681 DOI: 10.1016/j.hlpt.2016.08.001

Abstract

The existing healthcare delivery systems across the world need to be redesigned to ensure high-quality care is delivered to all patients. This redesign needs to ensure care is knowledge-based, patient-centered and systems-minded. The rapid advances in the capabilities of information and communication technology and its recent rapid adoption in healthcare delivery have ensured this technology will play a vital role in the redesign of the healthcare delivery system. This commentary highlights promising new developments in health information technology (IT) that can support patient engagement and self-management as well as team-based, patient-centered care. Collaborative care is an effective approach to screen and treat depression in cancer patients and it is a good example of the benefits of team-based and patient-centered care. However, this approach was developed prior to the widespread adoption and use of health IT. We provide examples to illustrate how health IT can improve prevention and treatment of depression in cancer patients. We found several knowledge gaps that limit our ability to realize the full potential of health IT in the context of cancer and comorbid depression care. These gaps need to be filled to improve patient engagement; enhance the reach and effectiveness of collaborative care and web-based programs to prevent and treat depression in cancer patients. We also identify knowledge gaps in health IT design and implementation. Filling these gaps will help shape policies that enable clinical teams to deliver high-quality cancer care globally.

Keywords: Care quality; Clinical teams; Health information technology; Health systems; Patient engagement; Patient-centered care; cancer care; collaborative care; depression management

Conflict of interest statement

Conflict of interest No conflicts of interest.

References

  1. Health Aff (Millwood). 2002 May-Jun;21(3):80-90 - PubMed
  2. NIH Consens State Sci Statements. 2002 Jul 15-17;19(4):1-29 - PubMed
  3. Br J Psychiatry. 2004 Jun;184:526-33 - PubMed
  4. J Am Board Fam Pract. 2005 Nov-Dec;18(6):520-7 - PubMed
  5. Int J Med Inform. 2008 Mar;77(3):153-60 - PubMed
  6. Am J Prev Med. 2011 May;40(5 Suppl 2):S162-72 - PubMed
  7. J Med Internet Res. 2011 May 26;13(2):e41 - PubMed
  8. J Prim Care Community Health. 2013 Oct;4(4):294-306 - PubMed
  9. Genome Med. 2014 Feb 26;6(2):16 - PubMed
  10. Prev Med. 2014 Sep;66:167-72 - PubMed
  11. Ann Fam Med. 2014 Sep-Oct;12(5):418-26 - PubMed
  12. J Med Internet Res. 2015 Jun 23;17(6):e148 - PubMed
  13. Gen Hosp Psychiatry. 2015 Nov-Dec;37(6):522-7 - PubMed
  14. Lancet Psychiatry. 2014 Oct;1(5):343-50 - PubMed
  15. JMIR Ment Health. 2015 Mar 24;2(1):e8 - PubMed
  16. JMIR Hum Factors. 2016 Mar 24;3(1):e12 - PubMed
  17. JAMA. 2016 May 3;315(17):1854-63 - PubMed

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