Treatment Services Research Articles

Examining facilitative services for entry into substance use disorder treatment: A cluster analysis of treatment facilities.

We examined services to facilitate access to entering substance use disorder (SUD) treatment among a national sample of SUD treatment facilities. We analyzed data from the National Survey of Substance Abuse Treatment Services (N-SSATS) 2020. Facilities were included in the sample based on criteria such as SUD treatment provision and being in the U.S. Cluster analysis was conducted using variables including ownership, levels of care, and whether facilities provide services or accept payment options aimed at reducing treatment barriers. National and state-level data on the percentage of facilities in each cluster were presented. Among N = 15,788 SUD treatment facilities four distinct clusters were identified: Cluster 1 consisted of for-profit and government outpatient facilities with high proportions of services to reduce barriers (22.2%). Cluster 2, comprised of non-profit outpatient facilities, offered the most comprehensive array of services to minimize barriers to treatment among all four clusters (25.2%). Cluster 3 included facilities with diverse ownership and care levels and provided a moderate to high degree of services aimed at reducing entry barriers to treatment (26.0%). Cluster 4 was primarily for-profit outpatient facilities with a low proportion of these services (26.6%). This study revealed facility-level groupings with different services to reduce barriers to SUD treatment across various clusters of SUD treatment facilities. While some facilities offered extensive services, others provided fewer. Differences in cluster distributions point to possible facilitators to treatment access for some persons seeking admission to specific treatment facilities. Efforts should be made to ensure that individuals seeking SUD treatment can access these services, and facilities should be adequately equipped to meet their diverse needs.

Clinician and health service interventions to reduce the greenhouse gas emissions generated by healthcare: a systematic review

ObjectiveTo synthesise the available evidence on the effects of interventions designed to improve the delivery of healthcare that reduces the greenhouse gas (GHG) emissions of healthcare.DesignSystematic review and structured synthesis.Search...

A social network analysis approach to assess COVID19-related disruption to substance use treatment and informal social interactions among people who use drugs in Scotland.

To assess the extent of Coronavirus-related disruption to health and social care treatment and social interactions among people with lived or living experience of substance use in Scotland, and explore potential reasons for variations in disruption. Cross sectional mixed methods interview, incorporating a social network 'egonet interview' approach asking about whether participants had interactions with a range of substance use, health, social care or third sector organisations, or informal social interactions. Five Alcohol and Drug Partnership Areas in Scotland. 57 (42% women) participants were involved in the study, on average 42 years old. Five-point Likert scale reporting whether interactions with a range of services and people had gotten much better, better, no different (or no change), worse, or much worse since COVID19 and lockdown. Ratings were nested within participants (Individuals provided multiple ratings) and some ratings were also nested within treatment service (services received multiple ratings). The nested structure was accounted for using cross classified ordinal logistic multilevel models. While the overall average suggested only a slight negative change in interactions (mean rating 2.93), there were substantial variations according to type of interaction, and between individuals. Reported change was more often negative for mental health services (Adjusted OR = 0.93 95% CI 0.17,0.90), and positive for pharmacies (3.03 95% CI 1.36, 5.93). The models found between-participant variation of around 10%, and negligible between-service variation of around 1% in ratings. Ratings didn't vary by individual age or gender but there was variation between areas. Substance use treatment service adaptations due to COVID19 lockdown led to both positive and negative service user experiences. Social network methods provide an effective way to describe complex system-wide interaction patterns, and to measure variations at the individual, service, and area level.

Breaking bad news in oncology practice: experience and challenges of oncology health professionals in Ethiopia – an exploratory qualitative study

ObjectiveTo explore the experience and challenges health professionals face during breaking bad news (BBN) to patients with cancer in the oncology centre of Black Lion Specialized Hospital (BLSH), Addis Ababa,...

Predicting Hospitalization Risk Among Home Care Residents in the United Kingdom: Development and Validation of a Machine Learning-Based Predictive Model

Preventable hospital admissions in elderly home care residents are a major socioeconomic burden, whilst early detection of deterioration may improve outcomes. Our goal was to develop and validate a machine learning-based algorithm to predict hospitalization risk among home care users. Our primary outcome was hospitalization. An existing risk score (1-5) was assessed for its discriminatory capacity over time. We subsequently developed a new machine learning model using carer concerns, service user demographics, and other home care data between January and July 2021. We randomly selected 150 service user records for validation, which were evaluated by both the model and 10 clinicians (9 doctors and 1 nurse) to compare prediction time and accuracy to human experts. Comparison between model and human was via area under the receiver operating characteristic curve (AUC). A score of 5 conferred an 8x higher likelihood of hospitalization in the subsequent 7 days (15.4% vs 1.8%, p < .05), compared to a score of 1. The new model and risk score increased performance, detecting 182 hospitalizations/month (3.7x chance). The AUC for the model was significantly higher than for clinicians (0.87 vs 0.41-0.57, respectively; p < .05). The model took <1 minute, while clinicians typically took over 40 minutes. A risk prediction model using carer concerns and other home care data features detects 3.7x more hospitalizations than chance. The model is faster and more accurate than human clinicians, enabling low-cost scale-up. This study supports linking the model to a triage and intervention service to reduce preventable hospitalizations in the home care sector.

Reporting of Progress toward Eliminating Viral Hepatitis B and C in the Central Asian Region

Eliminating viral hepatitis became a global goal and was targeted by countries worldwide. Using WHO, Google Scholar, PubMed, and other databases, the progress of Central Asian countries (Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan) in ending viral hepatitis B and C by 2030 was evaluated and reported. Collected data shows that countries have made significant efforts toward achieving goals in the Global Health Sector Strategy. All countries have national programs focused on hepatitis elimination and have reached the target vaccination coverage against hepatitis B. However, the available information requires regular updates, and public accessibility of data collected by governments should be enhanced. Additionally, countries are recommended to improve harm reduction and treatment services.

The Climate Change Burden on Immune Health: Are Persons Living with HIV More at Risk?

Climate change poses one of the most significant modern threats to overall human health,especially for vulnerable populations including persons living with HIV (PLWH). In this perspective, we specifically explore the concept of immune resilience in human health and how climate change phenomena - including extreme weather events, food insecurity, pollution, and emerging diseases - may exacerbate immune dysfunction and comorbidities faced by PLWH and hinder access to HIV treatment and prevention services. Multidisciplinary, collaborative efforts are urgently needed to quantify these impacts, develop mitigation strategies, and strengthen policies and funding to bolster immune resilience for PLWH in the face of accelerating climate change.

Research with Black Communities to Inform Co-Development of a Framework for Anti-Racist Health and Community Programming.

The effects of systemic racism were exacerbated and amplified throughout the COVID-19 pandemic. The resurgence of the "Black Lives Matter" movement in North America brought awareness to the public, especially white people, of the impacts of systemic racism in society and the urgent need for large-scale and institutional anti-racism work. In collaboration with a local Community Health Centre, this research focused on identifying priority areas for tailored and co-developed anti-Black racism interventions in health services and community programming, as well as examining how purposeful relationships can be created with African, Caribbean, and Black (ACB) communities in London, Ontario. Semi-structured interviews were conducted in either French or English with nine formal or informal leaders from London's ACB communities. Interpretive description methodology guided analysis and interpretation. Participants indicated that anti-Black racism is ever-present in the community and in their lives, with systemic racism causing the most harm. Racism should be addressed by creating ACB-specific services, and education for non-Black communities; increased representation, inclusion, and engagement of ACB people within organizations, especially in leadership roles, are essential. A framework based on study findings to guide how organizations can develop authentic and purposeful relationships with ACB communities is presented. Organizations will continue to perpetuate systemic racism unless they actively seek to be anti-racist and implement strategies and policies to this end. The proposed framework can guide partnerships between health and community organizations and ACB communities, and support co-development of strategies to address anti-Black racism.

Narrative review on the spectrum of diseases prevalent among substance-addicted populations and their interconnected health dynamics

Substance addiction is a complex phenomenon characterized by the dysfunction of the brain's reward system and neuroplasticity, leading individuals to lose control over their behaviour. This review explores the diverse health implications of addiction, including its impact on liver diseases, cardiovascular conditions, respiratory issues, cancers, infectious diseases, gastrointestinal problems, and mental disorders. Heavy alcohol consumption, tobacco use, illicit drug abuse, and prescription drug misuse contribute significantly to these health burdens, affecting various organs and systems in the body. Respiratory issues arise from tobacco smoking, inhalation of illicit drugs, and volatile chemicals, causing chronic obstructive pulmonary disease, lung cancers, and bronchial asthma. Substance addiction is also linked to various cancers, particularly lung cancer from tobacco, oral cancers from tobacco and alcohol, and oesophageal cancers from alcohol and prescription drugs. Furthermore, addictive substances impair immunity, making individuals more susceptible to infectious diseases like pneumonia, tuberculosis, and HIV/AIDS, especially among injection drug users. The interconnected nature of substance addiction with mental health disorders, genetic factors, environmental influences, and social determinants underscores the need for comprehensive public health strategies. These strategies should encompass education, prevention programs, access to treatment and support services, harm reduction approaches, and destigmatization efforts to address substance addiction comprehensively and improve overall health outcomes for individuals and communities.

Cost-effectiveness of village health worker-led integrated community case management (iCCM) versus health facility based management for childhood illnesses in rural southwestern Uganda

BackgroundIn Uganda, village health workers (VHWs) manage childhood illness under the integrated community case management (iCCM) strategy. Care is provided for malaria, pneumonia, and diarrhoea in a community setting. Currently, there is limited evidence on the cost-effectiveness of iCCM in comparison to health facility-based management for childhood illnesses. This study examined the cost-effectiveness of the management of childhood illness using the VHW-led iCCM against health facility-based services in rural south-western Uganda.MethodsData on the costs and effectiveness of VHW-led iCCM versus health facility-based services for the management of childhood illness was collected in one sub-county in rural southwestern Uganda. Costing was performed using the ingredients approach. Effectiveness was measured as the number of under-five children appropriately treated. The Incremental Cost-Effectiveness Ratio (ICER) was calculated from the provider perspective.ResultsBased on the decision model for this study, the cost for 100 children treated was US$628.27 under the VHW led iCCM and US$87.19 for the health facility based services, while the effectiveness was 77 and 71 children treated for VHW led iCCM and health facility-based services, respectively. An ICER of US$6.67 per under five-year child treated appropriately for malaria, pneumonia and diarrhoea was derived for the provider perspective.ConclusionThe health facility based services are less costly when compared to the VHW led iCCM per child treated appropriately. The VHW led iCCM was however more effective with regard to the number of children treated appropriately for malaria, pneumonia and diarrhoea. Considering the public health expenditure per capita for Uganda as the willingness to pay threshold, VHW led iCCM is a cost-effective strategy. VHW led iCCM should, therefore, be enhanced and sustained as an option to complement the health facility-based services for treatment of childhood illness in rural contexts.

Assessing Tobacco Treatment Engagement in Assertive Community Treatment Programs.

Despite high tobacco use prevalence among those with serious mental illnesses, few Assertive Community Treatment (ACT) programs provide tobacco treatment. Understanding the factors associated with the intentions to engage in tobacco treatment from both provider and consumer perspectives is important. The purpose was to examine ACT providers' intention to provide and consumer intention to engage in tobacco treatment. A cross-sectional survey of ACT program providers (N = 51) and consumers (N = 43) from four community mental health centers. Multiple linear regression analyses were used to examine factors associated with the intentions to provide or engage in tobacco treatment from among attitudinal, subjective norms, and perceived behavioral control variables. Providers reported positive attitudes, high degree of perceived behavior control, and high intentions for delivering tobacco treatment, but poor perceptions of subjective norms. These results were like consumers' intentions to engage in tobacco treatment. In regression analysis, only subjective norms and perceived behavior control were significant predictors for providers' intentions to provide tobacco treatment, but there were no significant predictors of consumers' intentions to engage in tobacco treatment. Both providers and consumers endorsed poor implementation of evidence-based tobacco treatment. Poor engagement in tobacco treatment within ACT programs indicates the need for policymakers to support tobacco treatment within the services. This finding calls for training of mental and behavioral health providers while supporting tobacco-free initiatives in ACT treatment service settings.

Practice Standards in International Medical Departments of Public Academic Hospitals in China: Cross-Sectional Study.

Improving health care in cities with a diverse, international population is crucial for ensuring health equity, particularly for foreigners facing challenges due to cultural and language barriers. This situation is especially relevant in China, a major destination for expatriates and travelers, where optimizing health care services and incorporating international standards in the public sector are vital. Achieving this involves understanding the operational details, cultural and linguistic nuances, and advancing medical digitalization. A strategic approach focusing on cultural competence and awareness of health care systems is essential for effectively navigating health care for foreigners and expatriates in China. The aim of this study was to perform an in-depth analysis of the subjective and objective experiences of local and international patients in public hospitals in China to provide a basis for enhancing the medical experience of all patients. A structured questionnaire was provided to patients at an international outpatient service of a top-tier university hospital in China. Qualitative analysis of the survey responses was performed to methodically categorize and analyze medical treatment, focusing on patient demand and satisfaction across four main category elements ("high demand, high satisfaction"; "high demand, low satisfaction"; "low demand, high satisfaction"; and "low demand, low satisfaction"), enabling a detailed cross-sectional analysis to identify areas for improvement. Elements falling under "high demand, high satisfaction" for both Chinese and international patients were primarily in the realms of medical quality and treatment processes. In contrast, elements identified as "high demand, low satisfaction" were significantly different between the two patient groups. The findings highlight the importance of systematic, objective research in advancing the quality of international health care services within China's leading academic medical centers. Key to this improvement is rigorous quality control involving both patients and providers. This study highlights the necessity of certifying such centers and emphasizes the role of digital platforms in disseminating information about medical services. This strategy is expected to cater to diverse patient needs, enhancing the overall patient experience. Furthermore, by developing comprehensive diagnosis and treatment services and highlighting the superior quality and costs associated with international health care, these efforts aim to foster a sense of belonging among international patients and increase the attractiveness of China's medical services for this demographic.

The Effectiveness of Modular Transdiagnostic Cognitive Behavioral Therapy Versus Treatment as Usual for Youths Displaying School Attendance Problems: A Randomized Controlled Trial.

School attendance problems (SAPs) are associated with negative short- and long-term outcomes. Despite high prevalence of SAPs, there is a shortage of evidence-based interventions. Existing approaches often target either school refusal or truancy, leaving a gap in effective interventions addressing both types of SAPs. This randomized controlled trial (RCT) assessed the effectiveness of Back2School (B2S), a modular transdiagnostic cognitive behavioral therapy (CBT) for SAPs, compared to treatment as usual (TAU). Outcomes included youths' school attendance and mental health. A group (B2S, TAU) × time (Pre, Post, 3-Month Follow-Up) design involving 152 youths (B2S; n = 74, TAU; n = 78) with SAPs (i.e., ≥ 10% absence in the past three months), aged 6-16 years (M = 12.2, SD = 2.2, males = 60%) were used. B2S comprised three months of CBT with youths, parents, and school involvement, while TAU comprised public and/or private intervention services. On average, youths in B2S received 15.0, (SD = 3.9) hours of intervention, while those in TAU received 13.4, (SD = 21.6). Intervention effects were investigated using mixed linear models. Both B2S and TAU exhibited significant within-group improvements in school attendance, with no significant differences between them. However, the B2S group significantly outperformed TAU in reducing youths' emotional problems, conduct problems, problems with peers, the overall impact of problems, and increasing youths self-efficacy for attending school and parent self-efficacy for dealing with a SAP. This RCT represents the first evaluation of a modular transdiagnostic CBT for youths displaying SAPs, showing significant mental health and self-efficacy benefits. (Clinical trial registration: ClinicalTrials.gov: NCT03459677).

A quality assurance study of the development of quality of care in outpatient clinics for treatment of addiction in Greenland

Introduction In 2016, a new addiction treatment service, Allorfik, was introduced in Greenland. Allorfik has, throughout the implementation and after, used auditing of patient records with feedback to develop the quality of care in treatment. Audits and feedback are routinely done in each treatment center. This study wishes to investigate the development of the quality of treatment through the case notes from the journal audits. Methodology This study is based on case notes audits from 2019, 2020 and 2021. In the audits, the focus has been on the quality of documentation and content for ten specific areas in each patient record. Each area was scored on a Likert scale of 0–4 for both outcomes. Statistical analyses were done using Stata 17, and P-values < 0.05 were considered statistically significant. We present baseline characteristics for patients and illustrate the development of quality for both outcomes as time trends with scatter plots. Results The analysis was based on data from 454 patients and audits of their case notes. The mean number of weeks in treatment is 12.72, and the mean age for the people in the audited case notes is 39. Time had a positive effect on both outcomes, and so each month, documentation increased by 0.21 points (p-value = <0.001), and content increased by 0.27 points (p-value = <0.001). Conclusion For documentation and content, the quality level has increased significantly with time, and the quality of case notes is at an excellent level at the final audits of all treatment centers.

Retrospective analysis of diagnosis and treatment of tuberculosis in designated medical institutions in China from 2017 to 2022

Objective: To understand the status of tuberculosis diagnosis and treatment capacity and the development and changes of tuberculosis diagnosis and treatment in provincial and municipal designated medical institutions in China from 2017 to 2022, so as to provide a basis for the formulation of relevant policies for the improvement and development of designated medical institutions for tuberculosis and the tuberculosis prevention and treatment service system, and to provide reasonable support for further strengthening the capacity of designated medical institutions for tuberculosis. Methods: This study was initiated and carried out by Beijing Chest Hospital affiliated to Capital Medical University/Clinical Center for Tuberculosis Prevention and Control of China CDC (hereinafter referred to as "Clinical Center") by means of questionnaire survey, and the investigation was carried out from March to November 2023. During this period, the clinical center distributed questionnaires to the hospital member units of "Beijing Tuberculosis Diagnosis and Treatment Technology Innovation Alliance", retrospectively collected their tuberculosis-related diagnosis and treatment data from 2017 to 2022, and used descriptive statistical methods to analyze the number of tuberculosis beds, outpatients and hospitalizations in medical institutions. The results were expressed in absolute numbers (percentages), and three-line tables, bar charts and line charts were drawn to describe the analysis results and changing trends. Results: The 54 medical institutions surveyed in this survey included 21 provincial-level designated medical institutions and 33 prefecture-level designated medical institutions. Most medical institutions have set up clinical departments, auxiliary departments and functional departments to undertake public health tasks of infectious diseases. The tuberculosis laboratory in the hospital has a comprehensive ability and has the detection technology needed for most tuberculosis diagnosis; The number of tuberculosis beds, children's tuberculosis beds and ICU beds all showed an increasing trend from 2017 to 2022. The proportion of tuberculosis beds in the hospital decreased slightly, from 39.31% in 2017 to 34.76% in 2022, showing a slight downward trend. Compared with the hospital surveyed, the number of tuberculosis outpatients in 2019 was 562 029, and the number of outpatients in 2020-2022 was 462 328, 519 630 and 424 069 respectively, which was significantly lower than that in 2019. The number of tuberculosis outpatients in medical institutions decreased significantly from 2020 to 2022. By analyzing the proportion of patients with different types of tuberculosis, the proportion of sensitive tuberculosis outpatients in 2017-2022 decreased from 84.49% in 2017 to 78.05% in 2022, showing a downward trend year by year. The proportion of patients with multidrug-resistant/ rifampin-resistant tuberculosis increased from 2.03% in 2017 to 7.18% in 2022. From 2017 to 2019, the total number of inpatients with tuberculosis showed an upward trend. Compared with 2019, the number of inpatients in 2020, 2021 and 2022 showed a downward trend, and the decline in 2020 was large (down 14.94% compared with 2019). Among the inpatients, the absolute number and proportion of patients with sensitive pulmonary tuberculosis remained relatively stable, and the number and proportion of inpatients with multidrug-resistant/rifampin-resistant pulmonary tuberculosis increased year by year. Conclusions: Most medical institutions have the capacity to carry out routine diagnosis and treatment of tuberculosis, but the public health function needs to be strengthened. The transformation of medical institutions requires proper guidance and adequate support. During 2019-2022, most medical institutions were affected by the COVID-19 epidemic, and their tuberculosis diagnosis and treatment work also changed to varying degrees. During this period, hospitals took various measures to overcome difficulties and tried their best to maintain the normal development of tuberculosis diagnosis and treatment, and the tuberculosis diagnosis and treatment work of various institutions gradually resumed in 2022.

Integrative Medicine Across the Pediatric Cancer Care Trajectory: A Narrative Review.

Children and adolescents with cancer, along with their parents and other informal caregivers, often report using complementary and alternative medicine (CAM) during active oncology and hemato-oncology treatment. Some adopt an "alternative" approach to conventional medical care, which often entails the use of these practices without the knowledge of the treating pediatrician. In contrast, many others search for consultation provided by a pediatric integrative oncology (IO) practitioner working with the conventional medical team. IO seeks to provide evidence-based complementary medicine therapies, many of which have been shown to augment conventional supportive and palliative care, while ensuring the patient's safety. The present narrative review examines the current state of and future direction for the IO setting of care. A large body of published clinical research supports the effectiveness of leading Pediatric IO modalities, while addressing potential safety-related concerns. Despite the growing amount of clinical research supporting the beneficial effects and implementation of Pediatric IO models of care, there is still a need for further studies in order to establish clinical guidelines in the treatment of children and adolescents with cancer. Such IO-directed guidelines will need to address both the effectiveness and the safety of the CAM modalities being used in pediatric oncology and hemato-oncology settings, promoting a better understanding among pediatric healthcare professionals and helping them understand the indications for referral to the IO treatment service.

Tracking the 3-year trajectory of referrals to an early psychosis intervention service.

To review the baseline and clinical characteristics of patients referred to a New Zealand Early Psychosis Intervention (EPI) service across a 4-year timeframe. We compared two cohorts, and identified variables associated with being accepted or declined, and reasons for decline, by an EPI service between 2013 and 2017. There were 576 people with suspected psychosis referred to the EPI service for assessment: 300 (52%) were accepted, 221 (38%) declined and 55 (10%) were not processed. Reasons for being declined by EPI services were a long duration of psychosis (DUP, 48%) and no evidence of psychosis (47%). There were no significant differences between the accepted and declined group in Emergency Department presentations for self-harm or suicide attempts and acute admissions to a psychiatric inpatient unit over the 3-year follow-up period. To optimise the identification of true positive cases, EPI services require clear entry criteria. Replicating this study in other EPI services with different entry criteria may provide evidence to develop a more uniform screening process. Improved outcomes may be enhanced by measuring effectiveness and liaising with other EPI services.

Multi-risk factors joint prediction model for risk prediction of retinopathy of prematurity

PurposeRetinopathy of prematurity (ROP) is a retinal vascular proliferative disease common in low birth weight and premature infants and is one of the main causes of blindness in children.In the context of predictive, preventive and personalized medicine (PPPM/3PM), early screening, identification and treatment of ROP will directly contribute to improve patients’ long-term visual prognosis and reduce the risk of blindness. Thus, our objective is to establish an artificial intelligence (AI) algorithm combined with clinical demographics to create a risk model for ROP including treatment-requiring retinopathy of prematurity (TR-ROP) infants.MethodsA total of 22,569 infants who underwent routine ROP screening in Shenzhen Eye Hospital from March 2003 to September 2023 were collected, including 3335 infants with ROP and 1234 infants with TR-ROP among ROP infants. Two machine learning methods of logistic regression and decision tree and a deep learning method of multi-layer perceptron were trained by using the relevant combination of risk factors such as birth weight (BW), gestational age (GA), gender, whether multiple births (MB) and mode of delivery (MD) to achieve the risk prediction of ROP and TR-ROP. We used five evaluation metrics to evaluate the performance of the risk prediction model. The area under the receiver operating characteristic curve (AUC) and the area under the precision-recall curve (AUCPR) were the main measurement metrics.ResultsIn the risk prediction for ROP, the BW + GA demonstrated the optimal performance (mean ± SD, AUCPR: 0.4849 ± 0.0175, AUC: 0.8124 ± 0.0033). In the risk prediction of TR-ROP, reasonable performance can be achieved by using GA + BW + Gender + MD + MB (AUCPR: 0.2713 ± 0.0214, AUC: 0.8328 ± 0.0088).ConclusionsCombining risk factors with AI in screening programs for ROP could achieve risk prediction of ROP and TR-ROP, detect TR-ROP earlier and reduce the number of ROP examinations and unnecessary physiological stress in low-risk infants. Therefore, combining ROP-related biometric information with AI is a cost-effective strategy for predictive diagnostic, targeted prevention, and personalization of medical services in early screening and treatment of ROP.

Adult cancer patients’ barriers to and satisfaction with care at a National Cancer Hospital in Vietnam

Study objective This study assessed the overall satisfaction with oncological care, including barriers to care, and identified its associated predictors among adult cancer patients in Vietnam. Methods In this cross-sectional study, we enrolled 300 adult cancer patients receiving inpatient care at a large urban oncological hospital between June and July 2022. Multivariable linear regression analyses examined associations between patient experiences and overall satisfaction ratings with cancer care. Results The mean overall satisfaction with oncological care was 8.82 out of 10, with 98.0% recommending this facility to their friends and family. In an adjusted model, being female (β = 0.29, 95%CI: 0.04, 0.53), endorsing satisfaction with patient-nurse communication (β = 0.33, 95%CI: 0.13, 0.53), patient-doctor communication (β = 0.40, 95%CI: 0.11, 0.70), and psychoeducation about oncological medication management (β = 0.30, 95%CI: 0.14, 0.45) were positively associated with overall ratings. In contrast, individuals with delays in treatment scheduling reported lower overall satisfaction with oncological care (β = -0.38, 95%CI: -0.64, -0.13). Patients perceived health system, social/environmental, and individual barriers to care: worries about income loss due to attending treatment (43.3%); fear, depression, anxiety, and distress (36.8%); concerns about affordability of treatment (36.7%) and transportation problems (36.7%); and excessive waiting times for appointments (28.8%). Conclusion This study showed high overall patient satisfaction with cancer care quality. Patient-centered communication strategies and psychoeducation about oncological medication management may be targeted to further enhance the cancer inpatient experience. Raising awareness about treatment options and services, and integrating mental health awareness into oncological care may ameliorate patient distress and facilitate greater satisfaction with oncological treatment processes.

Universal Behavioral Screening: Inclusion of Student’s Trauma Symptoms and Hurricane Exposure

School-age children are at high risk of experiencing traumatic and stressful events that can negatively impact their academic, emotional, and behavior performance. Students that have been exposed to a traumatic and adverse experience present with high rates of dropout, low academic performance, conduct problems, aggression, depression, and anxiety. The purpose of the present study was to examine the relationship between self-reported trauma symptoms of students identified with behavioral concerns using teacher reported screening data and whether hurricane exposure moderates the relationship. Participants included 75 students from elementary, middle, and high school in a large school district in the Southeastern United States. Students completed a self-rating of their trauma symptoms and hurricane exposure while their teachers completed a universal screening of internalizing and externalizing behaviors. Results from this study indicated that the type of hurricane exposure does not significantly moderate the relationship between trauma symptoms and students’ internalizing and externalizing behaviors. While linear regression showed that students who reported higher levels post traumatic symptoms have higher ratings of internalizing behaviors, results also indicated that there was no significant relationship between trauma symptoms and externalizing behaviors. Result suggest that trauma-informed strategies should be incorporated into the process of universal screening of behavior within the school setting to ensure that students at-risk for internalizing mental health concerns receive early intervention services.