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1.
Eur J Pediatr ; 181(2): 823-831, 2022 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-34626225

RESUMO

Parental presence at the bedside (PPB) of critically ill children in the pediatric intensive care unit (PICU) is necessary for operationalizing family-centred care. Previous evidence syntheses emphasize parent-healthcare provider interactions at rounds and resuscitation; our focus is the parent-child dyad. Prior to embarking on further study, we performed a scoping review to determine the breadth and scope of the literature addressing PPB of critically ill children in the PICU. We searched five online databases (MEDLINE, EMBASE, CINAHL, Cochrane Library, and PSYCHINFO) and the grey literature to identify English and French reports from January 1960 to June 2020 addressing physical parental presence with children (birth to 18 years) in intensive care units, without limitation by methodology. Screening, reference selection, and data extraction were performed by two independent reviewers. Data were extracted into a researcher-designed tool. We identified 204 publications (81 quantitative, 68 qualitative, 22 mixed methods, and 9 descriptive case or practice change studies, and a further 24 non-study reports). PPB was directly assessed in 78 (38%) reports, and was the primary objective in 64 (31%). Amount or quality of presence was addressed by 114 reports, barriers and enablers by 152 sources, and impacts and outcomes by 134 sources. While only 6 reports were published in the first two decades of our search (1960-1980), 17 reports were published in 2019 alone. Conclusions: A relatively large body of literature exists addressing PPB of critically ill children. Separate systematic evidence syntheses to assess each element of PPB are warranted. Scoping review protocol registration: Open science framework, protocol nx6v3, registered 9-September-2019. What is Known: • Parental presence at the bedside of critically ill children must be enabled to facilitate family centeredness in care. • Systematic evidence syntheses have focused on parental presence at rounds or resuscitation, rather than with the child throughout the intensive care journey. What is New: • Many reports (n=204) address parental presence at the bedside in the pediatric intensive care unit, though most do as incidental findings • Identifies studies addressing key elements of parental presence in the PICU including barriers and enablers to, amount and quality of, and impact and outcomes of parental presence, and demonstrates trends over time and geography.


Assuntos
Estado Terminal , Unidades de Terapia Intensiva Pediátrica , Criança , Cuidados Críticos , Humanos , Unidades de Terapia Intensiva , Pais
2.
Stud Health Technol Inform ; 210: 334-8, 2015.
Artigo em Inglês | MEDLINE | ID: mdl-25991161

RESUMO

PURPOSE: Efficient and adequate coding is essential for all hospitals to optimize funding, follow activity, and perform epidemiological studies. OBJECTIVE: We propose an autocompletion method for optimizing diagnostic coding in acute care hospitals. METHODS: Using a terminology snowflake model integrating SNOMED 3.5 and ICD-10 codes, autocompletion algorithms generate a list of diagnostic expressions from partial input concepts. RESULTS: A general autocompletion component has been developed and tested on a set of inpatient summary reports. Concepts expressed as strings of three or four characters return a noisy list of diagnostic labels or codes. Concepts expressed as groups of strings return lists that are semantically close to the labels present in hospital reports. The most pertinent information lies in the length of the expressions entered. CONCLUSION: Autocompletion can be a complementary tool to existing coding support systems.


Assuntos
Algoritmos , Registros Eletrônicos de Saúde/organização & administração , Classificação Internacional de Doenças , Modelos Organizacionais , Systematized Nomenclature of Medicine , Interface Usuário-Computador , Cuidados Críticos , Armazenamento e Recuperação da Informação/métodos , Aprendizado de Máquina , Sumários de Alta do Paciente Hospitalar , Reconhecimento Automatizado de Padrão/métodos
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