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Randomized Controlled Trial
. 2019 Jun 1;5(6):801-809.
doi: 10.1001/jamaoncol.2019.0292.

Evaluating an Intervention to Improve Communication Between Oncology Clinicians and Patients With Life-Limiting Cancer: A Cluster Randomized Clinical Trial of the Serious Illness Care Program

Affiliations
Randomized Controlled Trial

Evaluating an Intervention to Improve Communication Between Oncology Clinicians and Patients With Life-Limiting Cancer: A Cluster Randomized Clinical Trial of the Serious Illness Care Program

Joanna Paladino et al. JAMA Oncol. .

Abstract

Importance: Earlier clinician-patient conversations about patients' values, goals, and preferences in serious illness (ie, serious illness conversations) are associated with better outcomes but occur inconsistently in cancer care.

Objective: To evaluate the efficacy of a communication quality-improvement intervention in improving the occurrence, timing, quality, and accessibility of documented serious illness conversations between oncology clinicians and patients with advanced cancer.

Design, setting, participants: This cluster randomized clinical trial in outpatient oncology was conducted at the Dana-Farber Cancer Institute and included physicians, advanced-practice clinicians, and patients with cancer who were at high risk of death.

Main outcomes and measures: The primary outcomes (goal-concordant care and peacefulness at the end of life) are published elsewhere. Secondary outcomes are reported herein, including (1) documentation of at least 1 serious illness conversation before death, (2) timing of the initial conversation before death, (3) quality of conversations, and (4) their accessibility in the electronic medical record (EMR).

Results: We enrolled 91 clinicians (48 intervention, 43 control) and 278 patients (134 intervention, 144 control). Of enrolled patients, 58% died during the study (n=161); mean age was 62.3 years (95% CI, 58.9-65.6 years); 55% were women (n=88). These patients were cared for by 76 of the 91 enrolled clinicians (37 intervention, 39 control); years in practice, 11.5 (95% CI, 9.2-13.8); 57% female (n=43). Medical record review after patients' death demonstrated that a significantly higher proportion of intervention patients had a documented discussion compared with controls (96% vs 79%, P = .005) and intervention conversations occurred a median of 2.4 months earlier (median, 143 days vs 71 days, P < .001). Conversation documentation for intervention patients was significantly more comprehensive and patient centered, with a greater focus on values or goals (89% vs 44%, P < .001), prognosis or illness understanding (91% vs 48%, P < .001), and life-sustaining treatment preferences (63% vs 32%, P = .004). Documentation about end-of-life care planning did not differ between arms (80% intervention vs 68% control, P = .08). Significantly more intervention patients had documentation that was accessible in the EMR (61% vs 11%, P < .001).

Conclusions and relevance: This communication quality-improvement intervention resulted in more, earlier, better, and more accessible serious illness conversations documented in the EMR. To our knowledge, this is the first such study to demonstrate improvement in all 4 of these outcomes.

Trial registration: ClinicalTrials.gov identifier: NCT01786811.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Block receives compensation as Palliative Care Editor from Up to Date. Dr Fromme was paid to coauthor an article on workforce training in communication skills by the Gordon and Betty Moore Foundation. Dr Gawande reports compensation from produced writing and other media on health care including the subject of serious illness care and checklists during the conduct of this study. Dr Gawande is employed as the CEO of the new nonprofit-seeking healthcare venture parented by Amazon, Berkshire Hathaway, and JP Morgan Chase. No other disclosures are reported.

Figures

Figure 1.
Figure 1.. Participant Enrollment and Randomization Flowchart for the Secondary Outcomes of the Serious Illness Care Program Cluster Randomized Clinical Trial
aWe calculated patient participation rate (46%) as the number of patients consented and enrolled divided by the total number of patients invited to participate. bThe number of clusters decreased from 41 (number of clinician clusters) to 35 (number of clusters for analyzable patients) because some clinician clusters either enrolled no patients or their patients’ data were not able to be analyzed. cUnlike the primary outcomes analysis reported elsewhere, these secondary documentation outcomes were not dependent on return of patient surveys, so the denominator includes all patients who died within 24 months of enrollment.
Figure 2.
Figure 2.. Maximizing the Effect of Serious Illness Communication

Comment in

References

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