The Surprise Question and Serious Illness Conversations: A pilot study

Core Competencies for Serious Illness Conversations: An Integrative Systematic Review

Objective: The Serious Illness Care Program was developed to support goals and values discussions between seriously ill patients and their clinicians. The core competencies, that is, the essential clinical conversation skills that are described as requisite for effective serious illness conversations (SICs) in practice, have not yet been explicated. This integrative systematic review aimed to identify core competencies for SICs in the context of the Serious Illness Care Program. Methods: Articles published between January 2014 and March 2023 were identified in MEDLINE, PsycINFO, CINAHL, and PubMed databases. In total, 313 records underwent title and abstract screening, and 96 full-text articles were assessed for eligibility. The articles were critically appraised using the Joanna Briggs Institute Critical Appraisal Guidelines, and data were analyzed using thematic synthesis. Results: In total, 53 articles were included. Clinicians' core competencies for SICs were described in 3 themes: conversation resources, intrapersonal capabilities, and interpersonal capabilities. Conversation resources included using the conversation guide as a tool, together with applying appropriate communication skills to support better communication. Intrapersonal capabilities included calibrating one's own attitudes and mindset as well as confidence and self-assurance to engage in SICs. Interpersonal capabilities focused on the clinician's ability to interact with patients and family members to foster a mutually trusting relationship, including empathetic communication with attention and adherence to patient and family members views, goals, needs, and preferences. Conclusions: Clinicians need to efficiently combine conversation resources with intrapersonal and interpersonal skills to successfully conduct and interact in SICs.

Core elements of serious illness conversations: an integrative systematic review

BACKGROUND

Ariadne Labs' Serious Illness Care Program (SICP), inclusive of the Serious Illness Conversation Guide (SICG), has been adapted for use in a variety of settings and among diverse population groups. Explicating the core elements of serious illness conversations could support the inclusion or exclusion of certain components in future iterations of the programme and the guide.

AIM

This integrative systematic review aimed to identify and describe core elements of serious illness conversations in relation to the SICP and/or SICG.

DESIGN

Literature published between 1 January 2014 and 20 March 2023 was searched in MEDLINE, PsycINFO, CINAHL and PubMed. All articles were evaluated using the Joanna Briggs Institute Critical Appraisal Guidelines. Data were analysed with thematic synthesis.

RESULTS

A total of 64 articles met the inclusion criteria. Three themes were revealed: (1) serious illness conversations serve different functions that are reflected in how they are conveyed; (2) serious illness conversations endeavour to discover what matters to patients and (3) serious illness conversations seek to align what patients want in their life and care.

CONCLUSIONS

Core elements of serious illness conversations included explicating the intention, framing, expectations and directions for the conversation. This encompassed discussing current and possible trajectories with a view towards uncovering matters of importance to the patient as a person. Preferences and priorities could be used to inform future preparation and recommendations. Serious illness conversation elements could be adapted and altered depending on the intended purpose of the conversation.

Validation of the Surprise Question and the Development of a Multivariable Model

CONTEXT

The Surprise Question (SQ) (would you be surprised if this patient died within a year?) is a prognostic variable explored in chronic illnesses. Validation is limited to sensitivity, specificity, and predictive values.

OBJECTIVES

Our objective is to validate the SQ in cancer patients and develop a predictive model with additional variables.

METHODS

A prospective cohort study of adult (age>18) cancer patients seen between October 1, 2019, through March 31, 2021, undergoing systemic therapies had the SQ completed by oncologists prior to each change in systemic therapy. The primary outcome was survival for one year. Secondary outcomes were predictions of survival at three, six, and nine months. Patients were grouped into negative SQ (not surprised) and positive SQ (surprised). Sensitivity, specificity, predictive values, and likelihood ratios (LR) were calculated for the SQ. Additional prognostic variables were age, gender, cancer stage, line of therapy, Charleson Comorbid Index (CCI), palliative care consultation (prior to, after the SQ, or not at all), and healthcare utilization (outpatient, inpatient, and emergency department (ED). Logistic regression and receiver operating characteristics (ROC) were used for discrimination and modeling. Akaike information criterion (AIC) was used to compare the model fit as each predictor.

RESULTS

1366 patients had 1 SQ; 784 died within a year. The SQ predicted survival at one year (P = 0.008), with a positive LR of 1.459 (95%CI 1.316-1.602) and a c-statistic of 0.565 (95%CI 0.530-0.600). Additional variables increased the c-statistic to 0.648 (95% CI 0.608-0.686). The total model best predicted survival at three months, c-statistic of 0.663 (95% CI 0.616-0.706). However, the total model c-statistic remained <0.70.

CONCLUSIONS

The SQ, as a single factor, poorly predicts survival and should not be used to alter therapies. Adding additional objective variables improved prognostication, but further refinement and external validation are needed.

Organizational readiness to implement the Serious Illness Care Program in hospital settings in Sweden

Background

The Serious Illness Care Program (SICP) is a model developed for structured communication, identifying patients, and training physicians to use a structured guide for conversations with patients and family members. However, there is a lack of knowledge regarding the sustainable implementation of this conversation model. Therefore, the aim of this study was to identify barriers and enablers during the implementation of the SICP in hospital settings.

Methods

The SICP was implemented at 20 units in two hospitals in Sweden. During the implementation process, seven individual interviews and two group interviews were conducted with seven facilitators (five physicians, one behavioral therapist, and one administrator). Data were analyzed using qualitative content analysis, first inductively, and then deductively using the organizational readiness for change as a theoretical framework.

Result

The analysis resulted in three factors acting as enablers and eight factors acting as enablers and/or barriers during the implementation of the SICP. The three factors considered as enablers were preliminaries, identifying patients, and facilitator’s role. The eight factors considered as enablers and/or barriers were broad implementation, leadership, time, confidence, building foundation, motivation to work change, motivation for training in serious illness conversations, and attitudes.

Conclusion

This study indicates limited readiness to implement the SICP in hospital settings due to considerable variation in organizational contextual factors, change efficacy, and change commitment. The identified enablers and barriers for implementation of the SICP could guide and support future implementations to be sustainable over time.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-07923-5.

Patient Identification for Serious Illness Conversations: A Scoping Review

Serious illness conversations aim to align medical care and treatment with patients’ values, goals, priorities, and preferences. Timely and accurate identification of patients for serious illness conversations is essential; however, existent methods for patient identification in different settings and population groups have not been compared and contrasted. This study aimed to examine the current literature regarding patient identification for serious illness conversations within the context of the Serious Illness Care Program and/or the Serious Illness Conversation Guide. A scoping review was conducted using the Joanna Briggs Institute guidelines. A comprehensive search was undertaken in four databases for literature published between January 2014 and September 2021. In total, 39 articles met the criteria for inclusion. This review found that patients were primarily identified for serious illness conversations using clinical/diagnostic triggers, the ’surprise question’, or a combination of methods. A diverse assortment of clinicians and non-clinical resources were described in the identification process, including physicians, nurses, allied health staff, administrative staff, and automated algorithms. Facilitators and barriers to patient identification are elucidated. Future research should test the efficacy of adapted identification methods and explore how clinicians inform judgements surrounding patient identification.