Schizophrenia is a severe mental disorder that significantly impairs the daily functioning of patients that causes substantial societal and economic burden. While drug therapy is crucial for schizophrenia treatment, relying solely on antipsychotic drugs does not yield the most favorable therapeutic outcomes.Current Concepts: Integrating psychosocial interventions could result in maximized therapeutic effects for individuals living with schizophrenia. Evidence-based psychosocial interventions for schizophrenia management include cognitive behavioral therapy, family involvement, psychoeducation, supported employment programs, lifestyle adjustments for physical health, and coordinated and comprehensive early intervention services. Incorporating peer support, allowing both service users and care providers to share knowledge and their illnessrelated personal experiences, facilitates mutual assistance along the path to recovery. Moreover, growing interest follows in using digital interventions, such as wearable technology and smartphone applications, as effective therapeutic tools for illness management.Discussion and Conclusion: The above-mentioned psychosocial interventions empower individuals with schizophrenia, helping them improve their functioning, enhance their life quality, and adapt more effectively to society. Combining early medication with comprehensive psychosocial interventions, including digital technology, is crucial for the best outcomes. This approach should begin as soon as schizophrenia is diagnosed, aiming to promote recovery and overall well-being in affected individuals.

PURPOSE: The purpose of this study was to develop a simulation module for teaching home health care and evaluate the applicability of the program to nursing students' practical training. METHODS: The simulation module was developed based on the National League for Nursing Jeffries Simulation Theory. The theme of the developed scenario was teaching nasogastric tube feeding to the caregiver of patient with Parkinson disease. Participants were 61 nursing students who had learned tube feeding, and participated in the questionnaire survey after the simulation training. RESULTS: The evaluation of simulation design showed the highest score on feedback/guided reflection, and was highly evaluated in the order of objectives/information, problem solving and fidelity. The educational practice of the simulation was highly evaluated in the order of active learning, high expectation and diversity of learning. The nursing students showed high satisfaction and self-confidence after the simulation education. CONCLUSION: We suggest that the developed simulation module can be applied to practical training for home health care. In the future, the change of self-efficacy, clinical judgment and performance ability of the students after the simulation education should be identified. Also, various simulation modules related to the community health nursing competencies should be continuously developed and verified.
Caregivers ; Community Health Nursing ; Delivery of Health Care ; Education ; Enteral Nutrition* ; Home Health Nursing ; Humans ; Judgment ; Learning ; Nursing* ; Parkinson Disease ; Problem Solving ; Problem-Based Learning ; Simulation Training ; Students, Nursing*

Objective: This study investigated trends in hospital utilization by patients with schizophrenia during the first wave of the COVID-19 outbreak in Korea. Methods: The Prophet algorithm was used to predict the monthly number of patients with schizophrenia in 2020 based on medical insurance data between 2010 and 2019. The projected expectations were compared with the actual number of patients receiving outpatient and inpatient treatment each month in the first half of 2020. We conduct interrupted time series analyses of short-term data to determine the significance of recent changes in the trend of hospital visits by patients with schizophrenia. Results: The prediction model showed that the actual number of patients receiving treatment each month during the early COVID-19 outbreak decreased by up to 3.6% compared to the projected expectations. The interrupted time series model also revealed a significant change in hospital utilization compared to the year before the onset of COVID-19 in Korea (F = 8.961, p = 0.010). Conclusion This suggests that many patients with schizophrenia were not receiving adequate treatment during the COVID-19 outbreak. A strategy should be developed to keep treating patients with schizophrenia during the COVID-19 pandemic.

Cytomegalovirus (CMV) disease is rare in children who receive anticancer chemotherapy and have no history of stem cell transplantation (SCT). We report a case of CMV retinitis that developed during maintenance chemotherapy for acute leukemia. A 7-year-old boy developed decreased visual acuity and persistent pancytopenia during maintenance chemotherapy.Laboratory investigations initially showed significant CMV antigenemia (51 positive cells/200,000 leukocytes); however, antiviral therapy was not deemed necessary in this patient who had no history of SCT. CMV antigenemia worsened to 170 positive cells/200,000 leukocytes over 3 weeks. Ophthalmological examination revealed multiple bilateral retinal infiltrates and granular lesions. He was diagnosed with CMV retinitis and was treated with a 4-week course of intravenous ganciclovir and intravitreal injection of ganciclovir 6 times, followed by a 1-month course of orally administered valganciclovir. A CMV antigenemia assay showed negative results, and follow-up fundoscopy revealed lesser retinal infiltration after the sixth intravitreal ganciclovir injection. Future studies should focus on the development of standardized screening methods and preemptive therapeutic strategies for CMV disease in high-risk children.

Cytomegalovirus (CMV) disease is rare in children who receive anticancer chemotherapy and have no history of stem cell transplantation (SCT). We report a case of CMV retinitis that developed during maintenance chemotherapy for acute leukemia. A 7-year-old boy developed decreased visual acuity and persistent pancytopenia during maintenance chemotherapy.Laboratory investigations initially showed significant CMV antigenemia (51 positive cells/200,000 leukocytes); however, antiviral therapy was not deemed necessary in this patient who had no history of SCT. CMV antigenemia worsened to 170 positive cells/200,000 leukocytes over 3 weeks. Ophthalmological examination revealed multiple bilateral retinal infiltrates and granular lesions. He was diagnosed with CMV retinitis and was treated with a 4-week course of intravenous ganciclovir and intravitreal injection of ganciclovir 6 times, followed by a 1-month course of orally administered valganciclovir. A CMV antigenemia assay showed negative results, and follow-up fundoscopy revealed lesser retinal infiltration after the sixth intravitreal ganciclovir injection. Future studies should focus on the development of standardized screening methods and preemptive therapeutic strategies for CMV disease in high-risk children.

Background: This study evaluated the practicability of the suicide rate reduction target set by the current national suicide prevention policy in Korea, the fifth Master Plan for Suicide Prevention (2023–2027). This policy aims to lower the suicide rate from 26/100,000 in 2021 to 18.2/100,000 by 2027. Methods: We utilized monthly suicide statistics data from 2011 onwards. Using Bayesian regression and Autoregressive Integrated Moving Average (ARIMA) models, we conducted interrupted time series analyses to estimate the effect of the previous policy, the National Action Plan for Suicide Prevention (2018–2022), on suicide rates. We assumed this as the additional suicide reduction expected from the current policy. We generated point predictions and simulations for suicide rates from 2023 to 2027 using Bayesian regression and ARIMA models. Results: The interrupted time series analyses did not reveal a significant reduction in suicides attributable to the previous policy. Point predictions from the two models indicated that the suicide rate would remain approximately 24/100,000 in 2027. Almost all of the simulations of the 2027 suicide rate did not meet the policy target of 18.2/100,000. Conclusion The findings suggest that the Korean government’s suicide rate reduction target for 2027 is likely unattainable based on current trends and the limited effectiveness of previous policies. The objectives of suicide prevention policies should be evidence-based, attainable, and accountable.

Objectives: This study examined the shifts in the suicide trends in Korea during the initial phase of the Fifth Master Plan for Suicide Prevention, using interrupted time series analyses. Methods: Interrupted time series analyses were performed using the monthly suicide data from January 2011 to April 2024. Quasi-Poisson regression models were applied to evaluate the changes in the level and slope of the suicide trend before and after policy implementation. The Autoregressive Integrated Moving Average (ARIMA) and Prophet models were used to compare the actual and predicted counterfactual numbers of suicides during the policy period. Results: The quasi-Poisson regression model revealed a significant change in the trend of suicides among men, with an increasing slope during the policy period. For total suicides, the ARIMA and Prophet models suggested that the actual number of suicides was significantly higher than the counterfactual number during the policy period, with excess suicides averaging between 113 and 150 per month. The actual number of suicides among men was significantly higher than the counterfactual number during the policy period, with excess suicides averaging between 86 and 92 per month. No significant changes in the suicide trends among women were observed. Conclusion These findings suggest that the initial effects of the Fifth Master Plan for Suicide Prevention were inadequate to curb the rising suicide trends, particularly among men. This study underscores the need for timely policy responses to reverse the current increasing trend in suicides, with particular focus on the male population.

Background: This study evaluated the practicability of the suicide rate reduction target set by the current national suicide prevention policy in Korea, the fifth Master Plan for Suicide Prevention (2023–2027). This policy aims to lower the suicide rate from 26/100,000 in 2021 to 18.2/100,000 by 2027. Methods: We utilized monthly suicide statistics data from 2011 onwards. Using Bayesian regression and Autoregressive Integrated Moving Average (ARIMA) models, we conducted interrupted time series analyses to estimate the effect of the previous policy, the National Action Plan for Suicide Prevention (2018–2022), on suicide rates. We assumed this as the additional suicide reduction expected from the current policy. We generated point predictions and simulations for suicide rates from 2023 to 2027 using Bayesian regression and ARIMA models. Results: The interrupted time series analyses did not reveal a significant reduction in suicides attributable to the previous policy. Point predictions from the two models indicated that the suicide rate would remain approximately 24/100,000 in 2027. Almost all of the simulations of the 2027 suicide rate did not meet the policy target of 18.2/100,000. Conclusion The findings suggest that the Korean government’s suicide rate reduction target for 2027 is likely unattainable based on current trends and the limited effectiveness of previous policies. The objectives of suicide prevention policies should be evidence-based, attainable, and accountable.

Objectives: This study examined the shifts in the suicide trends in Korea during the initial phase of the Fifth Master Plan for Suicide Prevention, using interrupted time series analyses. Methods: Interrupted time series analyses were performed using the monthly suicide data from January 2011 to April 2024. Quasi-Poisson regression models were applied to evaluate the changes in the level and slope of the suicide trend before and after policy implementation. The Autoregressive Integrated Moving Average (ARIMA) and Prophet models were used to compare the actual and predicted counterfactual numbers of suicides during the policy period. Results: The quasi-Poisson regression model revealed a significant change in the trend of suicides among men, with an increasing slope during the policy period. For total suicides, the ARIMA and Prophet models suggested that the actual number of suicides was significantly higher than the counterfactual number during the policy period, with excess suicides averaging between 113 and 150 per month. The actual number of suicides among men was significantly higher than the counterfactual number during the policy period, with excess suicides averaging between 86 and 92 per month. No significant changes in the suicide trends among women were observed. Conclusion These findings suggest that the initial effects of the Fifth Master Plan for Suicide Prevention were inadequate to curb the rising suicide trends, particularly among men. This study underscores the need for timely policy responses to reverse the current increasing trend in suicides, with particular focus on the male population.

Background: This study evaluated the practicability of the suicide rate reduction target set by the current national suicide prevention policy in Korea, the fifth Master Plan for Suicide Prevention (2023–2027). This policy aims to lower the suicide rate from 26/100,000 in 2021 to 18.2/100,000 by 2027. Methods: We utilized monthly suicide statistics data from 2011 onwards. Using Bayesian regression and Autoregressive Integrated Moving Average (ARIMA) models, we conducted interrupted time series analyses to estimate the effect of the previous policy, the National Action Plan for Suicide Prevention (2018–2022), on suicide rates. We assumed this as the additional suicide reduction expected from the current policy. We generated point predictions and simulations for suicide rates from 2023 to 2027 using Bayesian regression and ARIMA models. Results: The interrupted time series analyses did not reveal a significant reduction in suicides attributable to the previous policy. Point predictions from the two models indicated that the suicide rate would remain approximately 24/100,000 in 2027. Almost all of the simulations of the 2027 suicide rate did not meet the policy target of 18.2/100,000. Conclusion The findings suggest that the Korean government’s suicide rate reduction target for 2027 is likely unattainable based on current trends and the limited effectiveness of previous policies. The objectives of suicide prevention policies should be evidence-based, attainable, and accountable.