Palliative care for patients with hematologic malignancies in Germany: a nationwide survey on everyday practice and influencing factors from the perspective of treating physicians.
Cordula GebelIsabel KruschelSteffi BodingerSteffen T SimonDennis A EichenauerAnne PralongUllrich WeddingPublished in: Annals of hematology (2024)
Integrating palliative care into the treatment of patients with advanced hematological malignancies (HM) remains challenging. To explore treating physicians' perspectives on current palliative care practice and to evaluate factors influencing integration, we conducted a nationwide online survey. Based on literature and expert review, the survey addressed the importance of palliative care, communication about life-threatening conditions, challenges in establishing goals of care, and factors influencing the integration of palliative care. 207 physicians treating patients with HM in Germany participated. We used standard descriptive statistics to analyze quantitative data and a content structuring approach. Most physicians considered palliative care in HM to be very important (60.6%) and discussed life-threatening conditions with more than half of their patients (52%), especially when goals of care were changed (87.0%) or when patients raised the topic (84.0%). Disease-related factors, different professional perspectives on prognosis, and patient hopes were the main barriers to changing goals of care, but collaboration with colleagues and multidisciplinary teams provided important support. Time constraints were identified as the main barrier to integrating palliative care. The majority worked well with palliative care teams. Referral processes and conditions were perceived as minor barriers. The study highlights the need to address barriers to integrating palliative care into the management of patients with advanced HM. Future research should aim at optimizing palliative care for patients with HM.
Keyphrases
- palliative care
- advanced cancer
- primary care
- end stage renal disease
- healthcare
- ejection fraction
- chronic kidney disease
- newly diagnosed
- systematic review
- cross sectional
- depressive symptoms
- mental health
- high resolution
- social media
- mass spectrometry
- prognostic factors
- machine learning
- artificial intelligence
- clinical practice
- electronic health record
- global health
- big data