2014
DOI: 10.1371/journal.pone.0110860
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Factors Affecting Family Satisfaction with Inpatient End-of-Life Care

Abstract: BackgroundLittle data exists addressing satisfaction with end-of-life care among hospitalized patients, as they and their family members are systematically excluded from routine satisfaction surveys. It is imperative that we closely examine patient and institution factors associated with quality end-of-life care and determine high-priority target areas for quality improvement.MethodsBetween September 1, 2010 and January 1, 2012 the Canadian Health care Evaluation Project (CANHELP) Bereavement Questionnaire was… Show more

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Cited by 52 publications
(43 citation statements)
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“…There is a subset of advanced cancer patients who benefit greatly from ICU admission and for whom it is appropriate . However, avoiding ICU admission in the last months of life is a key goal for improving patient quality of life . We believe the CARE Track program reduced ICU use through several mechanisms.…”
Section: Discussionmentioning
confidence: 99%
“…There is a subset of advanced cancer patients who benefit greatly from ICU admission and for whom it is appropriate . However, avoiding ICU admission in the last months of life is a key goal for improving patient quality of life . We believe the CARE Track program reduced ICU use through several mechanisms.…”
Section: Discussionmentioning
confidence: 99%
“…122 Caregivers who believed that their loved ones died in their preferred location were more satisfied with the patient's end-of-life care. 123 Efforts must be made to elicit patient preferences early in the disease course. The early elicitation of patient preferences may be especially important in the CVD population, considering the numerous options for diagnostic testing and advanced therapies even in end-stage disease.…”
Section: Caregiver Outcomesmentioning
confidence: 99%
“…SNO policies precluded us from tracking individual participants, sending repeat invitations, or incentivizing participation. There has been a shift towards assessing survey response rate by the potential for non-respondent bias, and whether the response population is representative of the population of interest [17], which is likely in our survey. While participants of the survey represent only a subset of all SNO participants; we believe that the respondents likely represent a larger proportion of clinical practitioners and overall the response rate is similar to other surveys exploring practice patterns in the field of neuro-oncology [18, 19].…”
Section: Discussionmentioning
confidence: 99%