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Approximately 25% of the Brazilian population suffers from mental disorders, a prevalence exacerbated by systemic and cultural factors such as socioeconomic inequalities, underfunded mental health services, regional disparities, and persistent stigma. These conditions significantly impact hospital care. Nurses, due to their direct contact with these patients, face challenges ranging from managing physical conditions to handling verbal aggression and psychiatric crises. This study aimed to assess the scientific evidence regarding nursing care for hospitalized patients with psychiatric disorders.
A systematic review with a mixed-methods approach was conducted, registered in PROSPERO (#CRD42022359288) and guided by PRISMA standards. Databases, such as MEDLINE, LILACS, PubMed, Web of Science, Scopus, and BDEnf, were searched using keywords like “Mental disorder,” “Psychiatric health,” “Nursing care,” and “Hospital.” Methodological quality was assessed using JBI and SQUIRE tools. The integration of quantitative and qualitative components occurred through meta-aggregation of qualitative data and frequency-based coding of quantitative themes, allowing thematic convergence across study designs.
Six studies were included. Meta-aggregation revealed frequent terms, such as “Nurse,” “Emergency,” “Screening,” “Patient,” and “Care.” Similarity analysis linked “Nurse” with “perception” and “experience” and “Emergency” with “Screening” and “Mental health,” highlighting the importance of experience and training. Five categories emerged: (1) professional experience (19.05%, showing skill gaps despite experience); (2) caring process (19.05%, stressing efficient screening); (3) barriers and challenges (19.05%, revealing difficulty with comorbidities); (4) training process (19.05%, identifying training deficiencies); and (5) therapeutic interventions (23.81%, discussing restraint use). These percentages refer to the proportional frequency of themes identified across the total number of studies analyzed. For thematic classification, only statistically significant chi-square values (p < 0.05) were considered in the grouping of content.
Nursing care for psychiatric patients in hospitals faces challenges like insufficient training and difficulty managing psychiatric comorbidities. Recommendations include incorporating structured mental health content into nursing curricula and hospital-based continuing education programs. These strategies may guide future healthcare policies in Brazil by improving patient safety, reducing hospital readmissions, and promoting more humane, evidence-based therapeutic interventions.
The findings emphasize the urgent need for targeted education and training to improve nursing care for psychiatric patients in hospital settings.
Ensuring an appropriate length of stay (LOS) is a primary goal for hospitals, as prolonged LOS poses clinical risks and organizational challenges. Children and adolescents are particularly susceptible to prolonged LOS due to frequent hospitalizations and unique vulnerabilities, including developmental disabilities that may necessitate additional care and monitoring. This study aims to describe the LOS of children and adolescent patients and identify the sociodemographic, organizational, clinical, and nursing care factors contributing to prolonged LOS in this population.
Observational, retrospective, monocentric study.
A sequential sampling approach was used to select the clinical records of 1538 children and adolescent patients admitted to an Italian university hospital in 2022. The study included all children and adolescents aged 3–18 who were hospitalized for a minimum of 2 days. Patients from outpatient units and those with LOS shorter than 2 days were excluded. The Neonatal Pediatric Professional Assessment Instrument (PAIped) and the Hospital Discharge Register were used to collect sociodemographic, organizational, clinical, and nursing care patient data, including nursing diagnoses (NDs) and nursing actions (NAs). A forward stepwise regression approach was used to identify predictors of LOS among the selected variables. A mediation analysis was conducted to explore the role of nursing predictors, identified in the stepwise regression, as mediators between the number of medical diagnoses and LOS.
Positive correlations between the number of medical diagnoses, NDs, NAs, and LOS were discovered (r s = 0.262, p = < 0.001; r s = 0.114, p = < 0.001; r s = 0.384, p = < 0.001, respectively). Longer hospital stays were associated with an increased number of medical diagnoses, NDs, and NAs. The number of NAs emerged as an independent predictor of LOS (β = 0.516; p < 0.001). Other significant determinants of LOS included a higher number of NAs and medical diagnoses, the presence of a medical DRG category, increased DRG weight, emergency admissions, residency in rural areas, and older age (F = 122.222, p < 0.001, R 2 = 0.361, adjusted R 2 = 0.358). The mediation analysis showed that the number of medical diagnoses positively predicted the number of NAs (β = 2.774, p < 0.001), which, in turn, positively affected LOS (β = 0.162, p < 0.001). A significant indirect effect of the number of medical diagnoses on LOS through NAs was observed (β = 0.448, 95% CI [0.34, 0.55]), along with a significant direct effect of medical diagnoses on LOS, even with the mediator in the model (β = 0.633, p < 0.001), indicating partial mediation (F = 321.6892; R 2 = 0.295; p < 0.001). These results highlight the influence of medical diagnoses on LOS through the mediating role of NAs.
Our study highlights the significant interplay between determinants of LOS in children and adolescent patients, emphasizing the need for targeted interventions, resource planning, and the integration of clinical nursing information systems to enhance care quality and support evidence-based practices.
Optimizing resource distribution and implementing specific interventions for patients at risk of prolonged LOS could help mitigate this negative outcome and enhance the quality of care. Incorporating nursing data into DRG systems could improve reimbursement accuracy and benefit the nursing profession, which may result in better patient outcomes and lower hospital expanses.
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