The aims of the current review were to identify the current supportive care needs of stroke patients, categorize those needs according to the supportive care needs framework (SCNF), and to form a SCNF of stroke patients. Preferred Reporting Items for Systematic Reviews and Meta-Extension for Scoping Reviews (PRISMA-ScR) and Guidance for conducting systematic scoping reviews were followed. Ten databases were searched, including six English databases: PubMed, Embase, Web of Science, Cumulative Index to Nursing Allied Health Literature, Cochrane Library, and PsycINFO, and four Chinese databases: China National Knowledge Infrastructure, Wan Fang, China Biology Medicine Database and Chongqing VIP. The search period covers from the establishment of the database to December 31, 2022. Three thousand twenty-nine hits were screened resulting in the inclusion of 34 articles in the final literature review. The greatest need identified by stroke patients was information, followed by psychological, social, rehabilitation, practical, physical, emotional, and spiritual needs. The supportive care needs of stroke patients were identified. A preliminary SCNF of stroke patients was developed according to Fitch\'s SCNF. The multitude of existing needs of stroke patients need to be addressed. This review may represent the first time that SCNF for stroke patients has been developed. This work may lay the foundation for future research on the supportive care needs of stroke patients and provide a framework for the implementation of supportive care in clinical stroke units.

OBJECTIVE: This research quantitatively explored the prevalence of NANDA-I nursing diagnoses related to the care of patients experiencing heart failure.
METHODS: A systematic review and meta-analysis were conducted with the systematic review protocol registered in PROSPERO (registration number: CRD42022382565).
METHODS: Systematic searches were performed between March and April 2022, including peer review for selection, quality assessment, data extraction, and analysis of all included studies. A subsequent meta-analysis was performed, focusing on the proportion of nursing diagnoses in patients with heart failure. The logistic random effects model with maximum likelihood estimation assessed the combined proportion, and heterogeneity between studies was evaluated using the I2 statistic. The goodness-of-fit of the meta-analysis results was assessed using the leave-one-out method and by evaluating publication bias through contour-enhanced funnel plots.
METHODS: PubMed, SCOPUS, CINAHL, WOS, and Embase were used.
RESULTS: Of the 11 studies that met the eligibility criteria, 44 nursing diagnoses were identified as most frequently occurring in patients experiencing heart failure, and only 16 diagnoses appeared in more than one publication. The combined mean proportion was 35.73% (95% CI = [26.67%; 48.56%]), indicating the presence of heterogeneity based on the I2 value. However, no publication bias was observed.
CONCLUSIONS: The results of the meta-analysis suggest priority diagnoses in individuals with heart failure, such as deficient knowledge (00126). Additionally, secondary diagnoses, such as activity intolerance (00092), excess fluid volume (00026), and ineffective breathing pattern (00032), were identified as responses to decreased cardiac output (00029). Less prevalent nursing diagnoses were associated with deterioration of health status and the need for hospitalization.
OBJECTIVE: Investigar cuantitativamente la prevalencia de diagnósticos de enfermería NANDA-I asociados con la atención de pacientes con insuficiencia cardíaca. DISEÑO: Revisión sistemática y metanálisis. El protocolo de revisión sistemática quedó registrado en PROSPERO) número de registro: CRD42022382565). MÉTODOS: Se realizaron búsquedas sistemáticas entre marzo y abril de 2022, llevándose a cabo una revisión por pares sobre la selección, evaluación de calidad, extracción de datos y análisis de todos los estudios incluidos. Se realizó un metanálisis posterior centrado en la proporción de diagnósticos de enfermería en pacientes con insuficiencia cardíaca. El modelo logístico de efectos aleatorios con estimación de máxima verosimilitud evaluó la proporción combinada y la heterogeneidad entre los estudios se evaluó mediante el estadístico I2. La bondad de ajuste de los resultados del metanálisis se evaluó mediante el método Leave-one-out y la evaluación del sesgo de publicación mediante gráficos de embudo (funnel plot), denominado Contour-Enhanced Funnel Plot.
UNASSIGNED: PubMed, SCOPUS, CINAHL, WOS, Embase.
RESULTS: En los 11 estudios que cumplieron con los criterios de elegibilidad, se identificaron 44 diagnósticos de enfermería aunque sólo 16 diagnósticos aparecieron en más de una publicación. La proporción media combinada fue del 35,73% (IC del 95%) = [26,67%; 48,56%]), y el valor de I2 indica la presencia de heterogeneidad, aunque no hay sesgo de publicación. CONCLUSIÓN: Los resultados de este metaanálisis indican que habría diagnósticos prioritarios en personas con insuficiencia cardíaca, como Conocimientos deficientes (00126). Además, se han identificado otros diagnósticos de enfermería como diagnósticos secundarios: Intolerancia a la actividad (00092), Exceso de volumen de líquidos (00026) y Patrón respiratorio ineficaz (00032), que sería la respuesta a Disminución del gasto cardíaco (00029). Además de diagnósticos de enfermeríaa menos prevalentes relacionados con el deterioro del estado de salud y la necesidad de hospitalización.