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1.
Support Care Cancer ; 21(6): 1509-17, 2013 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-23242388

RESUMO

BACKGROUND: Providing the highest quality care for dying patients should be a core clinical proficiency and an integral part of comprehensive management, as fundamental as diagnosis and treatment. The aim of this study was to provide expert consensus on phenomena for identification and prediction of the last hours or days of a patient's life. This study is part of the OPCARE9 project, funded by the European Commission's Seventh Framework Programme. METHOD: The phenomena associated with approaching death were generated using Delphi technique. The Delphi process was set up in three cycles to collate a set of useful and relevant phenomena that identify and predict the last hours and days of life. Each cycle included: (1) development of the questionnaire, (2) distribution of the Delphi questionnaire and (3) review and synthesis of findings. RESULTS: The first Delphi cycle of 252 participants (health care professionals, volunteers, public) generated 194 different phenomena, perceptions and observations. In the second cycle, these phenomena were checked for their specific ability to diagnose the last hours/days of life. Fifty-eight phenomena achieved more than 80% expert consensus and were grouped into nine categories. In the third cycle, these 58 phenomena were ranked by a group of palliative care experts (78 professionals, including physicians, nurses, psycho-social-spiritual support; response rate 72%, see Table 1) in terms of clinical relevance to the prediction that a person will die within the next few hours/days. Twenty-one phenomena were determined to have "high relevance" by more than 50% of the experts. Based on these findings, the changes in the following categories (each consisting of up to three phenomena) were considered highly relevant to clinicians in identifying and predicting a patient's last hours/days of life: "breathing", "general deterioration", "consciousness/cognition", "skin", "intake of fluid, food, others", "emotional state" and "non-observations/expressed opinions/other". CONCLUSION: Experts from different professional backgrounds identified a set of categories describing a structure within which clinical phenomena can be clinically assessed, in order to more accurately predict whether someone will die within the next days or hours. However, these phenomena need further specification for clinical use.


Assuntos
Transtornos da Consciência/diagnóstico , Procedimentos Clínicos , Morte , Cuidados Paliativos/métodos , Sons Respiratórios/diagnóstico , Assistência Terminal/métodos , Consenso , Técnica Delphi , Europa (Continente) , Humanos , Internacionalidade , Cuidados Paliativos/organização & administração , Valor Preditivo dos Testes , Inquéritos e Questionários , Assistência Terminal/organização & administração
2.
BMJ Open ; 6(11): e011763, 2016 11 10.
Artigo em Inglês | MEDLINE | ID: mdl-28186928

RESUMO

OBJECTIVE: To assess the feasibility of prospectively collecting biological samples (urine) from palliative care patients in the last weeks of life. SETTING: A 30-bedded specialist hospice in the North West of England. PARTICIPANTS: Participants were adults with a diagnosis of advanced disease and able to provide written informed consent. METHOD: Potential participants were identified by a senior clinician over a 12-week period in 2014. They were then approached by a researcher and invited to participate according to a developed recruitment protocol. OUTCOMES: Feasibility targets included a recruitment rate of 50%, with successful collection of samples from 80% who consented. RESULTS: A total of 58 patients were approached and 33 consented (57% recruitment rate). Twenty-five patients (43%) were unable to participate or declined; 10 (17%) became unwell, too fatigued, lost capacity, died or were discharged home; and 15 (26%) refused, usually these patients had distressing pain, low mood or profound fatigue. From the 33 recruited, 20 participants provided 128 separate urine samples, 12 participants did not meet the inclusion criteria at the time of consent and 1 participant was unable to provide a sample. The criterion for a urinary catheter was removed for the latter 6 weeks. The collection rate during the first 6 weeks was 29% and 93% for the latter 6 weeks. Seven people died while the study was ongoing, and another 4 participants died in the following 4 weeks. CONCLUSIONS: It is possible to recruit and collect multiple biological samples over time from palliative care patients in the last weeks and days of life even if they have lost capacity. Research into the biological changes at the end of life could develop a greater understanding of the biology of the dying process. This may lead to improved prognostication and care of patients towards the end of life.


Assuntos
Neoplasias/urina , Cuidados Paliativos , Coleta de Urina/métodos , Idoso , Idoso de 80 Anos ou mais , Inglaterra , Estudos de Viabilidade , Feminino , Nível de Saúde , Humanos , Masculino , Pessoa de Meia-Idade , Estudos Prospectivos , Qualidade de Vida
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