A Context-oriented Communication Algorithm for Advance Care Planning: A Model to Assist Palliative Care in Heart Failure

J Cardiovasc Nurs. 2018 Sep/Oct;33(5):446-452. doi: 10.1097/JCN.0000000000000396.

Abstract

Background: Access to consultation or referral for decisions about advance care planning (ACP) is limited, particularly for nonmalignant models pertinent to palliative care in heart failure (HF).

Objectives: The aim of this study was to solicit professional opinions about the feasibility of using an exemplary context-oriented communication algorithm for ACP discussions.

Methods: Using a panel of expert physicians and nurses in cardiovascular care, a 3-round Delphi study was conducted to evaluate the proposed model.

Results: A consensus was determined based on a content validity ratio (CVR) of 0.318 or greater, a critical value for selection of an item scored as important (≥4 on a 5-point Likert scale). A total of 50, 44, and 38 experts in Korea completed each round, respectively. Item evaluation did not differ across rounds (Friedman χ > P = .05), except for timing of the ACP discussion. A lack of consensus was observed on the issue of after HF diagnosis for right timing of the ACP discussion across rounds (CVRs from -0.80 to -0.83); consensus was reached on the expectation of a terminal state (CVRs from 0.60 to 0.78). Content validity ratios were moderately high for Korean advance directive, ranging from 0.59 to 0.91. Experts also reached consensus about each of 5 steps of a communication model-patients' determination of decisional capacity (CVR, 0.72-1.0), awareness (CVR, 0.95-1.0), willingness for advance care planning (CVR, 0.76-0.84), family dynamics (CVR, 0.92-1.0) and patient readiness for advance care planning (CVR, 0.76-0.95).

Conclusions: A context-oriented communication model could be used to facilitate the decision-making process for palliative care and continuity of care in HF.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Advance Care Planning*
  • Algorithms*
  • Clinical Decision-Making*
  • Communication*
  • Delphi Technique
  • Family Relations
  • Female
  • Heart Failure*
  • Humans
  • Male
  • Mental Competency
  • Palliative Care*
  • Patient Participation