Stakeholder engagement as a strategy to enhance palliative care involvement in intensive care units: A theory of change approach.

BACKGROUND: Adult patients admitted to intensive care units in the terminal phase experience high symptom burden, increased costs, and diminished quality of dying. There is limited literature on palliative care engagement in ICU, especially in lower-middle-income countries. This study explores a strategy to enhance palliative care engagement in ICU through a stakeholder participatory approach. METHODS: Theory of Change approach was used to develop a hypothetical causal pathway for palliative care integration into ICUs in India. Four facilitated workshops and fifteen research team meetings were conducted virtually over three months. Thirteen stakeholders were purposively chosen, and three facilitators conducted the workshops. Data included workshop discussion transcripts, online chat box comments, and team meeting minutes. These were collected, analysed and represented as theory of change map. RESULTS: The desired impact of palliative care integration was good death. Potential long-term outcomes identified were fewer deaths in ICUs, discharge against medical advice, and inappropriate admissions; increased referrals to palliative care; and improved patient and family satisfaction. Twelve preconditions were identified, and eleven key interventions were developed. Five overarching assumptions related to contextual factors influencing the outcomes of interventions. CONCLUSION: Theory of change framework facilitated the identification of proposed mechanisms and interventions underpinning palliative care integration in ICUs.

COVID-19 Palliative and End-of-Life Care Plan: Development and Audit of Outcomes.

Objectives: Palliative care (PC) referral in serious and critical COVID-19 improves decision-making, health resource utilisation, end-of-life symptom management and family support. In this study, we explored developing a systematic decision-making matrix for PC referral in COVID-19 and audited its outcomes. Materials and Methods: A team of interdisciplinary experts developed a hospital COVID-19 PC plan. PC referral and outcomes of PC referral in hospitalised COVID-19 patients were audited. Results: Out of 1575 inpatients, 1066 (67.7%) had mild and 509 (32.3%) had serious and critical COVID-19 illness. Among 50 (3.1%) referred to PC, 5 (0.4%) had mild and 45 (8.8%) had serious and critical COVID-19 illness. Out of 45 serious and critical COVID-19 patients referred to PC, 38 (84%) received end-of-life care (EOLC), 4 (9%) self-discharged against medical advice and 3 (7%) recovered. Forty-seven (94%) were referred for goals-of-care discussion. About 78% received opioids, 70% benzodiazepines and 42% haloperidol for symptom management. Among 45 serious and critical COVID-19 patients referred to PC, foregoing life-sustaining treatment was documented in 43 (96%) but implemented only in 23 (53%). Out of 38 who received EOLC, ICU was the place of death in 31 (82%) and ward in 7 (18%). Conclusion: Despite interdisciplinary experts developing a hospital COVID-19 PC, low referral of serious and critical COVID-19 patients to PC was observed. PC referral enabled access to management of end-of-life symptoms and facilitated limitation of life-sustaining treatment in some COVID-19 patients with serious illness. Educating critical care physicians about the scope of PC in the COVID-19 setting might improve PC referral.

Evaluation of early scoring predictors for expedited care in patients with emphysematous pyelonephritis.

INTRODUCTION: Emphysematous pyelonephritis (EPN), an acute necrotizing infection of the kidney and surrounding tissues, is associated with considerable mortality. We evaluated how existing critical care scoring systems could predict the need for intensive care unit (ICU) management for these patients. We also analyzed if CT-imaging further enhances these predictive systems. PATIENTS AND METHODS: A retrospective analysis of 90 consecutive patients diagnosed clinico-radiologically with EPN from January 2011 to September 2020. Five scoring systems were evaluated for their predictive ability for the need for ICU management and mortality risk: National Early Warning Score (NEWS), Modified Early Warning Score (MEWS), 'quick' Sequential Organ Failure Assessment score (qSOFA), Systemic Inflammatory Response Syndrome score (SIRS), and Sequential Organ Failure Assessment score (SOFA). CT images were classified as per Huang & Tseng and evaluated as stand-alone or added to the different predictive models. Receiver operating characteristic (ROC) curves were plotted for each critical care score and CT-Class using logistic regression, to obtain the area under curve (AUC) value for comparison of ICU admission predictability. Patients were analyzed up till discharge. RESULTS: Ninety patients were diagnosed with EPN. Twenty-six patients required ICU management and nine patients died. The best scoring system to predict the need of early ICU management is NEWS (AUC 0.884). CT Class had no independent predictive power, nor did it add significantly to improvement in most of the early warning scoring systems, but rather guided us to the need for radiological, endourological or surgical intervention. CONCLUSION: In patients with EPN, the NEWS scoring system predicts best the requirement of ICU care. It aids in triage of patients with EPN to appropriate early management and reduce mortality risk.