Revista brasileira de enfermagem · 2020
Accuracy of the clinical indicators of ineffective health management in celiac people.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Silva Leonardo Alexandrino da, Bessa Cristina Costa, Guedes Nirla Gomes, Lopes Marcos Venícios de Oliveira, Silva Viviane Martins da, Santos Jorgiana Cavalcanti Dos, Chaves Patricia Fernandes
Аннотация
OBJECTIVE: to analyze the accuracy of clinical indicators of "Ineffective health management" in celiac patients and to verify associations between sociodemographic characteristics and clinical indicators.
METHOD: a cross-sectional study, conducted from May to September 2017, with 83 celiac patients, through an interview. Accuracy measures were defined by latent class model.
RESULTS: there was a prevalence of "Ineffective health management" of 55.69%. "Failure to take action to reduce risk factor" and "Failure to include treatment regimen in daily living" better predict this diagnosis. Paid occupation reduces the chance of the presence of "Difficulty with prescribed regimen". Participation in support association reduces the chance of the presence of "Difficulty with prescribed regimen", "Ineffective choices in daily living for meeting health goal" and "Failure to take action to reduce risk factor".
CONCLUSION: accurate clinical indicators identification assists clinical reasoning for diagnostic inference in specific health contexts.
METHOD: a cross-sectional study, conducted from May to September 2017, with 83 celiac patients, through an interview. Accuracy measures were defined by latent class model.
RESULTS: there was a prevalence of "Ineffective health management" of 55.69%. "Failure to take action to reduce risk factor" and "Failure to include treatment regimen in daily living" better predict this diagnosis. Paid occupation reduces the chance of the presence of "Difficulty with prescribed regimen". Participation in support association reduces the chance of the presence of "Difficulty with prescribed regimen", "Ineffective choices in daily living for meeting health goal" and "Failure to take action to reduce risk factor".
CONCLUSION: accurate clinical indicators identification assists clinical reasoning for diagnostic inference in specific health contexts.