Quality of Life and Related Factors in ß-Thalassemia Patients.

The ß-thalassemias are a group of genetic disorders defined by decreased levels of functional hemoglobin (Hb). In light of pivotal improvements in patient survival, the load of consistent treatment harms patients' quality of life (QOL). This study aimed to determine the QOL in patients with ß-thalassemia (ß-thal) in Iran and identify associated factors. This cross-sectional study was conducted among 1240 patients with ß-thal. Data for this study were obtained from the General, the TranQol (Transfusion-dependent QoL) Standard, and the Multidimensional Scale of Perceived Social Support (MSPSS) questionnaires. The univariate and multivariable linear regression was used in STATA version 14 to identify factors related to QOL. Overall, the QOL score was 103 ± 21.96, and adults had a higher score than children under 15 years old. Emotional health had the highest score (39.96 ± 11.54), and sexual activity in adults (1.87 ± 2.08) and activities related to education in children (10.43 ± 7.46) had the lowest. The multivariable linear regression analysis showed that the age, gender, age of blood transfusion initiation, Hb level, number of underlying diseases, and social support level by family and community significantly impact QOL. In exchange for an increase in comorbidities, patients' QOL decreased by 86.0% [odds ratio (OR) = 0.14, 95% confidence interval (95% CI): 0.04-0.45]. Many factors affecting the QOL can be controlled, so social support, increased Hb levels, regular and timely blood transfusions, and treatment can improve the thalassemia patients' QOL.

Predictive influence of disease knowledge and hope on self-care behavior among adults with heart failure.

Background: Self-care, disease knowledge, and hope are critical concepts in health-related studies. Therefore, all three are considered solutions for controlling heart failure (HF) and reducing its complications. This study aimed to identify the predictive influence of disease knowledge and hope on self-care behavior among adults with HF. Materials and Methods: This descriptive-analytical and cross-sectional study examined the data of 113 HF patients referred to the Imam Reza Clinic in Shiraz, Iran, in 2021. This study used HF patients' self-care instruments based on Orem's self-care theory, the HF Knowledge Scale-Persian version, and the Heart Hope Index-Persian version. The data were analyzed using the general linear model (GLM) and Pearson's correlation coefficients. Results: Of the 113 HF patients, 54.90% (n = 62) were male, and 45.10% (n = 51) were female. The analysis of the Pearson correlation coefficient indicated the presence of a positive and significant correlation between "self-care and hope" (r = 0.532, P = 0.0001), "HF knowledge and hope" (r = 0.432, P = 0.0001), and "self-care and HF knowledge" (r = 0.410, P = 0.0001). GLM showed that HF knowledge symptoms (P = 0.0001), hope (P = 0.0001), unemployed patients (P = 0.042), and housewife patients (P = 0.0001) predicted self-care behavior of HF patients. Conclusion: Considering the positive and significant correlation between "self-care and HF knowledge," "self-care and hope," and "HF knowledge and hope," it seems necessary for doctors and nurses should pay attention to providing educational programs to increase HF knowledge to improve self-care and hope in HF patients.

Evaluation of goodness of fit of semiparametric and parametric models in analysis of factors associated with length of stay in neonatal intensive care unit.

BACKGROUND: Length of stay is a significant indicator of care effectiveness and hospital performance. Owing to the limited number of healthcare centers and facilities, it is important to optimize length of stay and associated factors. PURPOSE: The present study aimed to investigate factors associated with neonatal length of stay in the neonatal intensive care unit (NICU) using parametric and semiparametric models and compare model fitness according to Akaike information criterion (AIC) between 2016 and 2018. METHODS: This retrospective cohort study reviewed 600 medical records of infants admitted to the NICU of Bandar Abbas Hospital. Samples were identified using census sampling. Factors associated with NICU length of stay were investigated based on semiparametric Cox model and 4 parametric models including Weibull, exponential, log-logistic, and log-normal to determine the best fitted model. The data analysis was conducted using R software. The significance level was set at 0.05. RESULTS: The study findings suggest that breastfeeding, phototherapy, acute renal failure, presence of mechanical ventilation, and availability of central venous catheter were commonly identified as factors associated with NICU length of stay in all 5 models (P<0.05). Parametric models showed better fitness than the Cox model in this study. CONCLUSION: Breastfeeding and availability of central venous catheter had protective effects against length of stay, whereas phototherapy, acute renal failure, and mechanical ventilation increased length of stay in NICU. Therefore, the identification of factors associated with NICU length of stay can help establish effective interventions aimed at decreasing the length of stay among infants.