Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2016 Apr 27;11(4):e0150671.
doi: 10.1371/journal.pone.0150671. eCollection 2016.

Communication Tools for End-of-Life Decision-Making in Ambulatory Care Settings: A Systematic Review and Meta-Analysis

Affiliations
Meta-Analysis

Communication Tools for End-of-Life Decision-Making in Ambulatory Care Settings: A Systematic Review and Meta-Analysis

Simon J Oczkowski et al. PLoS One. .

Erratum in

Abstract

Background: Patients with serious illness, and their families, state that better communication and decision-making with healthcare providers is a high priority to improve the quality of end-of-life care. Numerous communication tools to assist patients, family members, and clinicians in end-of-life decision-making have been published, but their effectiveness remains unclear.

Objectives: To determine, amongst adults in ambulatory care settings, the effect of structured communication tools for end-of-life decision-making on completion of advance care planning.

Methods: We searched for relevant randomized controlled trials (RCTs) or non-randomized intervention studies in MEDLINE, EMBASE, CINAHL, ERIC, and the Cochrane Database of Randomized Controlled Trials from database inception until July 2014. Two reviewers independently screened articles for eligibility, extracted data, and assessed risk of bias. Grading of Recommendations Assessment, Development, and Evaluation (GRADE) was used to evaluate the quality of evidence for each of the primary and secondary outcomes.

Results: Sixty-seven studies, including 46 RCTs, were found. The majority evaluated communication tools in older patients (age >50) with no specific medical condition, but many specifically evaluated populations with cancer, lung, heart, neurologic, or renal disease. Most studies compared the use of communication tools against usual care, but several compared the tools to less-intensive advance care planning tools. The use of structured communication tools increased: the frequency of advance care planning discussions/discussions about advance directives (RR 2.31, 95% CI 1.25-4.26, p = 0.007, low quality evidence) and the completion of advance directives (ADs) (RR 1.92, 95% CI 1.43-2.59, p<0.001, low quality evidence); concordance between AD preferences and subsequent medical orders for use or non-use of life supporting treatment (RR 1.19, 95% CI 1.01-1.39, p = 0.028, very low quality evidence, 1 observational study); and concordance between the care desired and care received by patients (RR 1.17, 95% CI 1.05-1.30, p = 0.004, low quality evidence, 2 RCTs).

Conclusions: The use of structured communication tools may increase the frequency of discussions about and completion of advance directives, and concordance between the care desired and the care received by patients. The use of structured communication tools rather than an ad-hoc approach to end-of-life decision-making should be considered, and the selection and implementation of such tools should be tailored to address local needs and context.

Registration: PROSPERO CRD42014012913.

PubMed Disclaimer

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Flowchart of study screening, eligibility, and inclusion.
Fig 2
Fig 2. Risk of bias assessments for randomized controlled trials.
Fig 3
Fig 3. Risk of bias/quality assessments for observational studies.
Fig 4
Fig 4. Proportion of patients with documented advance care planning.
Fig 5
Fig 5. Proportion of patients with documented advance care planning discussions.
Fig 6
Fig 6. Concordance between care desired by patients and care received by patients at the end-of-life.
Fig 7
Fig 7. Patient preferences for life-prolonging as opposed to comfort care.
Fig 8
Fig 8. Funnel plot for outcome “Patient preferences for life-prolonging treatments”.
Fig 9
Fig 9. Quality of communication between patient and substitute decision-maker (SDM)—concordance between patient and SDM for level of care desired at end-of-life.
Fig 10
Fig 10. Quality of communication score between patients and health care providers.
Fig 11
Fig 11. Patient and family knowledge of life-supporting treatments.
Fig 12
Fig 12. Patient and family knowledge of advance care planning.

References

    1. Wright AA, Zhang B, Ray A, Mack JW, Trice E, Balboni T, et al. Associations between end-of-life discussions, patient mental health, medical care near death, and caregiver bereavement adjustment. JAMA. 2008;300: 1665–1673. 10.1001/jama.300.14.1665 - DOI - PMC - PubMed
    1. Heyland DK, Barwich D, Pichora D, Dodek P, Lamontagne F, You JJ, et al. Failure to engage hospitalized elderly patients and their families in advance care planning. 2013;173: 10 10.1001/jamainternmed.2013.180 - DOI - PubMed
    1. Viera AJ, Garrett JM. Understanding interobserver agreement: the kappa statistic. Fam Med. 2005;37: 360–363. - PubMed
    1. Higgins JPT, Altman DG, Gøtzsche PC, Jüni P, Moher D, Oxman AD, et al. The Cochrane Collaboration's tool for assessing risk of bias in randomised trials. BMJ. 2011;343: d5928 10.1136/bmj.d5928 - DOI - PMC - PubMed
    1. Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol. 2010;25: 603–605. 10.1007/s10654-010-9491-z - DOI - PubMed

Publication types

LinkOut - more resources