Portuguese
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
International Journal of Evidence-Based Healthcare 2019-Dec

Using patient self-checklist to improve the documentation of risk of postoperative nausea and vomiting: an implementation project.

Apenas usuários registrados podem traduzir artigos
Entrar Inscrever-se
O link é salvo na área de transferência
Zhen Zheng
Jennifer Layton
Wanda Stelmach
Julie Crabbe
Jason
Juris Briedis
Jeanette Atme
Debra Bourne
Raphael Hau
Charlie Xue

Palavras-chave

Resumo

Postoperative nausea and vomiting (PONV) is a common surgical complication, affecting 30-50% of patients and 80% in high risk populations. Successful prevention and management of PONV relies on accurately assessing individual risk prior to surgery. A valid and reliable Apfel score is commonly used to assess patients' risk. It is however challenging to translate this evidence into clinical practice. This evidence-based project aimed to identify the current practice of assessing and documenting the risk factors of PONV prior to surgery, and to develop strategies to improve the practice.The project had three phrases, including forming a team and conducting the baseline audit; identifying problems and developing strategies; and conducting a follow-up tool to assess the impact on compliance with best practice. A research team was formed. A baseline audit was conducted at a public hospital in Victoria in June 2016 to examine PONV risk assessment practice through checking medical files of surgical patients. A getting research into practice audit and feedback tool was used to identify barriers, implementation strategies, stakeholders and resources. After implementation, a second audit was conducted between June and October 2017. Audit criteria were based on a reliable and valid Apfel score.At baseline, accurate PONV risk could only be calculated from 8% of patient files with no file formally recording the risk factors. The proportion of patients with three risk factors preoperatively indicating high PONV risk was 5.3%. Barriers identified were the perceived lack of necessity to record the risk, time constraint and too much paperwork. A self-checklist for risk assessment was developed to enable patients to check their own level of risk. Its face validity, construct validity and accuracy were examined. The checklist was then implemented for patients to complete prior to surgery. A number of strategies were used to improve the implementation. The second audit of 1308 files showed that at the end of audit period, 74% of patients had risk assessment conducted and documented postimplementation. 16.8% of the patients were identified as having high PONV risk, nearly triple the number identified at baseline.A simple self-checklist of PONV risk was implemented. It greatly improved PONV risk assessment and documentation in a public hospital in Australia and enabled the identification of patients at high risk.

Junte-se à nossa
página do facebook

O mais completo banco de dados de ervas medicinais apoiado pela ciência

  • Funciona em 55 idiomas
  • Curas herbais apoiadas pela ciência
  • Reconhecimento de ervas por imagem
  • Mapa GPS interativo - marcar ervas no local (em breve)
  • Leia publicações científicas relacionadas à sua pesquisa
  • Pesquise ervas medicinais por seus efeitos
  • Organize seus interesses e mantenha-se atualizado com as notícias de pesquisa, testes clínicos e patentes

Digite um sintoma ou doença e leia sobre ervas que podem ajudar, digite uma erva e veja as doenças e sintomas contra os quais ela é usada.
* Todas as informações são baseadas em pesquisas científicas publicadas

Google Play badgeApp Store badge