Diagnosis of adverse events after hysterectomy with postoperative self-care web applications: A pilot study

Donna T. Gilmour, Norman J. MacDonald, Steven Dukeshire, Barbara Whynot, Barry Sanders, John Thiel, Sony Singh, Craig Campbell, Krisztina Bajzak, Gordon Flowerdew

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Increased pressures from multiple sources are leading to earlier patient discharge following surgery. Our objective was to test the feasibility of self-care web applications to inform women if, when, and where to seek help for symptoms after hysterectomy. We asked 31 women recovering at home after hysterectomy at two centers to sign into a website on a schedule. For each session, the website informed them about normal postoperative symptoms and prompted them to complete an interactive symptom questionnaire that provided detailed information on flagged responses. We interviewed eight women who experienced an adverse event. Six of these women had used the web application regularly, each indicating they used the information to guide them in seeking care for their complications. These data support that self-care applications may empower patients to manage their own care and present to appropriate health care providers and venues when they experience abnormal symptoms.

Original languageEnglish
Pages (from-to)279-290
Number of pages12
JournalHealth Informatics Journal
Volume23
Issue number4
DOIs
Publication statusPublished - Dec 1 2017

Bibliographical note

Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Canadian Medical Protective Association Competitive Grant Program, the Canadian Foundation for Innovation, the IWK Research Foundation, and the Nova Scotia Health Research Foundation.

Publisher Copyright:
© 2016, © The Author(s) 2016.

ASJC Scopus Subject Areas

  • Health Informatics

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