Palliative medicine
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Palliative medicine · Jan 2024
Review Meta AnalysisHealthy siblings' perspectives about paediatric palliative care: A qualitative systematic review and meta-synthesis.
Siblings of children requiring palliative care are often forgotten and overlooked, as the focus tends to be on the ill child and their parents. Limited knowledge of non-bereaved siblings' perspectives makes it challenging to provide appropriate support for them. A review of existing literature is thus needed to better understand the experiences of these siblings and to identify research gaps that may require further examination. ⋯ Siblings demonstrated negative psychological impacts and were affected by changing family structure and relationships. However, socialisation with society, and varied coping skills such as cognitive coping and using distraction techniques, were significant for siblings to go through this journey and even led to some positive outcomes for them.
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Palliative medicine · Oct 2023
Review Meta AnalysisEffectiveness and safety of opioids on breathlessness and exercise endurance in patients with chronic obstructive pulmonary disease: A systematic review and meta-analysis of randomised controlled trials.
Opioids are recommended to treat advanced refractory dyspnoea despite optimal therapy by the American Thoracic Society clinical practice guidelines, while newly published randomised controlled trials of opioids in chronic obstructive pulmonary disease yield conflicting results. ⋯ Sustained-release opioids did not improve dyspnoea and exercise endurance. Short-acting opioids appeared to be safe, have potential to lessen dyspnoea and improve exercise endurance, supporting benefit in managing episodes of breathlessness and providing prophylactic treatment for exertional dyspnoea.
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Palliative medicine · Sep 2023
Review Meta AnalysisPerformance of the Palliative Prognostic Index for cancer patients: A systematic review and meta-analysis.
Clinician predicted survival for cancer patients is often inaccurate, and prognostic tools may be helpful, such as the Palliative Prognostic Index (PPI). The PPI development study reported that when PPI score is greater than 6, it predicted survival of less than 3 weeks with a sensitivity of 83% and specificity of 85%. When PPI score is greater than 4, it predicts survival of less than 6 weeks with a sensitivity of 79% and specificity of 77%. However, subsequent PPI validation studies have evaluated various thresholds and survival durations, and it is unclear which is most appropriate for use in clinical practice. With the development of numerous prognostic tools, it is also unclear which is most accurate and feasible for use in multiple care settings. ⋯ PPI score>6 should be used for <3-week survival prediction, and PPI score>4 for <6-week survival. PPI is easily scored and does not require invasive tests, and thus would be easily implemented in multiple care settings. Given the acceptable accuracy of PPI in predicting <3- and <6-week survival and its objective nature, it could be used to cross-check clinician predicted survival especially when clinicians have doubts about their own judgement, or when clinician estimates seem to be less reliable. Future studies should adhere to the reporting guidelines and provide comprehensive analyses of PPI model performance.
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Palliative medicine · Jan 2023
Review Meta AnalysisEffectiveness of transmural team-based palliative care in prevention of hospitalizations in patients at the end of life: A systematic review and meta-analysis.
Team-based palliative care interventions have shown positive results for patients at the end of life in both hospital and community settings. However, evidence on the effectiveness of transmural, that is, spanning hospital and home, team-based palliative care collaborations is limited. ⋯ Transmural team-based palliative care interventions, especially hospital-based teams that follow-up patients at home, show an overall effect on lowering hospital admissions and increasing the number of patients dying at home. However, broad clinical and statistical heterogeneity of included studies results in uncertainty about the effect size.