Disparities in perinatal COVID-19 infection and vaccination.

The COVID-19 pandemic exposed and exacerbated persistent health inequities in perinatal populations, resulting in disparities of maternal and fetal complications. In this narrative review, we present an adapted conceptual framework of perinatal social determinants of health in the setting of the COVID-19 pandemic and use this framework to contextualize the literature regarding disparities in COVID-19 vaccination and infection. We synthesize how elements of the structural context, individual socioeconomic position, and concrete intermediary determinants influence each other and perinatal COVID-19 vaccination and infection, arguing that systemic inequities at each level contribute to observed disparities in perinatal health outcomes. From there, we identify gaps in the literature, propose mechanisms for observed disparities, and conclude with a discussion of strategies to mitigate them.

Is children's mental health an important function of newly national organization for health crisis management in Japan?

This review discussed analyzing information dissemination and activities related to mental health conducted by the Centers of Disease Control and Prevention (CDC), considering their application in Japan, and disseminating them to the public is necessary for the Japanese New Center for Health Control. The Japanese government also explores the Japanese New Center For Health Control in addressing children's mental health issues potentially under the Japan health crisis. The findings underscore the urgency of prioritizing children's mental health and implementing effective strategies to mitigate the long-term effects of the COVID-19 pandemic.

Too Many Deaths, Too Many Left Behind: A People's External Review of the U.S. Centers for Disease Control and Prevention's COVID-19 Pandemic Response.

The U.S. population has suffered worse health consequences owing to COVID-19 than comparable wealthy nations. COVID-19 had caused more than 1.1 million deaths in the U.S. as of May 2023 and contributed to a 3-year decline in life expectancy. A coalition of public health workers and community activists launched an external review of the Centers for Disease Control and Prevention's pandemic management from January 2021 to May 2023. The authors used a modified Delphi process to identify core pandemic management areas, which formed the basis for a survey and literature review. Their analysis yields 3 overarching shortcomings of the Centers for Disease Control and Prevention's pandemic management: (1) Centers for Disease Control and Prevention leadership downplays the serious impacts and aerosol transmission risks of COVID-19, (2) Centers for Disease Control and Prevention leadership has aligned public guidance with commercial and political interests over scientific evidence, and (3) Centers for Disease Control and Prevention guidance focuses on individual choice rather than emphasizing prevention and equity. Instead, the agency must partner with communities most impacted by the pandemic and encourage people to protect one another using layered protections to decrease COVID-19 transmission. Because emerging variants can already evade existing vaccines and treatments and Long COVID can be disabling and lacks definitive treatment, multifaceted, sustainable approaches to the COVID-19 pandemic are essential to protect people, the economy, and future generations.

Response of Unvaccinated US Adults to Official Information About the Pause in Use of the Johnson & Johnson-Janssen COVID-19 Vaccine: Cross-Sectional Survey Study.

Using a rapid response web-based survey, we identified gaps in public understanding of the Centers for Disease Control and Prevention's messaging about the pause in use of the Johnson & Johnson-Janssen COVID-19 vaccine and estimated changes in vaccine hesitancy using counterfactual questions.

Breast and cervical cancer programs' success in maintaining screening during periods of high COVID-19: A qualitative multi-case study analysis.

Objective: During the first year of the COVID-19 pandemic, most of the Centers for Disease Control and Prevention (CDC)'s National Breast and Cervical Cancer Early Detection Program (NBCCEDP) funded programs (recipients) experienced significant declines in breast and cervical cancer screening volume. However, 6 recipients maintained breast and/or cervical cancer screening volume during July-December 2020 despite their states' high COVID-19 test percent positivity. We led a qualitative multi-case study to explore these recipients' actions that may have contributed to screening volume maintenance. Methods: We conducted 22 key informant interviews with recipients, screening provider sites, and partner organizations. Interviews explored organizational and operational changes; screening barriers; actions taken to help maintain screening volume; and support for provider sites to continue screening. We documented contextual factors that may have influenced these actions, including program structures; clinic capacity; and state COVID-19 policies. Results: Thematic analysis revealed crosscutting themes at the recipient, provider site, and partner levels. Recipients made changes to administrative processes to reduce burden on provider sites and delivered tailored technical assistance to support safe screening. Provider sites modified clinic protocols to increase patient safety, enhanced patient reminders for upcoming appointments, and increased patient education on the importance of timely screening during the pandemic. Partners worked with provider sites to identify and reduce patients' structural barriers to screening. Conclusion: Study findings provide lessons learned to inform emergency preparedness-focused planning and operations, as well as routine operations for NBCCEDP recipient programs, other cancer screening initiatives, primary care clinics, and chronic disease prevention programs.

Development and initial validation of the career resilience instrument for CDC emergency responders in China within the context of public health emergencies: based on a survey conducted in Shanghai.

Background: China faces various public health emergencies, and emergency responders at the Centers for Disease Control and Prevention (CDC emergency responders) are a mainstay in responding to public health emergencies. Career resilience can help CDC emergency responders to effectively respond to and recover from public health emergencies, but there is no specific measurement instrument available. In this study, we aimed to develop and conduct an initial validation of the career resilience instrument for CDC emergency responders in China within the context of public health emergencies from a process perspective. Methods: Based on a survey conducted in Shanghai, interpretive phenomenological analysis (IPA), which is a qualitative research approach to describing and analyzing individual experiences, was used to analyze the interview texts to develop the initial career resilience instrument for CDC emergency responders. The initial career resilience instrument was revised through two rounds of expert consultation. Cronbach's α coefficient and exploratory factor analysis were used to test the reliability and validity of the revised career resilience instrument. Results: The initial career resilience instrument for CDC emergency responders contained three first-level measurement dimensions, 9 second-level measurement dimensions, and 52 measurement items. After expert consultation, the first-level and second-level measurement dimensions were not revised, 13 measurement items were deleted or revised, and six measurement items were added, resulting in 48 measurement items. The revised career resilience instrument was tested for good reliability and validity. Conclusion: Career resilience for CDC emergency responders can be regarded as a set of protective factors and dynamic processes that can be cultivated and intervened in cognitive, affective, and behavioral dimensions to improve their ability to respond to and recover from public health emergencies.

[Analysis on vitamin B_1 and vitamin B_2 proficiency testing assessment in China disease control and prevention system].

OBJECTIVE: To evaluate the detection ability of vitamin B_1 and vitamin B_(2 )in rice flour in the laboratories of disease control and prevention system, by conducting the proficiency testing(PT)activity. METHODS: Before the vitamin B_1 and vitamin B_2 quality control samples were distributed to the laboratories of disease control and prevention system, the uniformity and stability of samples were analyzed by one-way ANOVO respectively. High performance liquid chromatography(HPLC) method was required to determine vitamin B_1(GB 5009.84-2016: determination of vitamin B_1 in food, first method as reference). HPLC method was also required to determine vitamin B_2(GB 5009.85-2016: determination of vitamin B_2 in food, first method as reference). Robust statistics analysis of proficiency testing result was conducted to evaluate laboratory testing ability through Z score. RESULTS: A total of 43 laboratories completed the proficiency testing. In all of the laboratories participated in the determination of vitamin B_(1 )and vitamin B_2, the total satisfactory rate of vitamin B_1 was 88.4%, while vitamin B_2 was 86.0%. CONCLUSION: The ability of vitamin B_1 and vitamin B_2 detection in disease control and prevention system in China is better than expected, and the testing ability of a few laboratory needs to be improved.

Configurational paths to turnover intention among primary public health workers in Liaoning Province, China: a fuzzy-set qualitative comparative analysis.

BACKGROUND: A stable public health workforce plays an indispensable role in the realization of the goal of health for all. However, there is an exodus of public health workers from the Centers for Disease Control and Prevention (CDC). Given the limited evidence on the mechanisms shaping turnover intention (TI) among public health workers, the study aims to investigate the triggering mechanisms of high and low turnover intention by combining job demands, job resources, and personal resources through a set theory perspective based on the Job-Demand-Resources (JD-R) model. METHODS: The cross-sectional study was conducted from September 7 to 18, 2020 at district (county) level CDC in Liaoning Province, China. A total of 584 public health professionals were included. Overcommitment, effort, social respect, occupational identity, job rewards, self-efficacy, and psychological resilience were included in the study as configuration factors. The data were gathered through an online questionnaire and were analyzed using multiple regression and fuzzy-set Qualitative Comparative Analysis (fsQCA). RESULTS: Social respect (B = -0.682, P < 0.001), occupational identity (B = -0.168, P < 0.001), and effort (B = 0.114, P < 0.001) were associated with turnover intention. Five configurations for high turnover intention and five for low turnover intention were obtained through the fsQCA, with occupational identity and effort playing an essential role in all pathways. Moreover, the configurations for low turnover intention are not the antithesis of the configurations for high turnover intention. CONCLUSION: Managers should synthesize the combined effects of factors when implementing interventions and formulating policies. Given the vital role of occupational identity and effort, mechanisms for the rational distribution of work to avoid excessive efforts and measures to promote occupational identity should be implemented to reduce the turnover intentions of primary public health workers and encourage their intention to stay.

Human Resources Allocation of the Centers for Disease Control and Prevention in China.

Objective: To analyze the equity of human resources allocation of the Centers for Disease Control and Prevention (CDCs) and to predict the development in the next five years in China, and to provide a scientific basis for promoting the development of human resources. Methods: The data of the CDCs from 2017 to 2021 were obtained from the "China Health Statistical Yearbook", and descriptive analysis, health resource density index (HRDI), Theil index, and health resource agglomeration degree (HRAD) were used to evaluate the equity, and the grey prediction model GM (1, 1) was used to predict the development from 2022 to 2026. Results: Measured by the HRDI, the shortage of human resources in the western region was relatively obvious, with a shortage of more than 11,656 health technicians, more than 6418 licensed (assistant) physicians, and more than 693 registered nurses. The Theil index of human resources allocation by population was between 0.016 and 0.071, and the Theil index of human resources allocation by geography was between 0.312 and 0.359. The allocation of human resources by geography was more unequal than those allocated by population. In terms of HRAD, human resources are over-allocated equitably by geography in the eastern and central regions, while they are under-allocated equitably by geography in the western region. In terms of the difference between the HRAD and PAD, the eastern region has a shortage of human resources relative to the concentration population, and the western region has an excess of human resources relative to the concentration population. Conclusion: The human resources allocation of the CDCs in China was uneven. The human resources of the CDCs were allocated more equitably by population than by geography. There was a situation where the equity of human resource allocation of the CDCs was contrary to the actual demand for medical care.

The impact of COVID-19 vaccination prior to SARS-CoV-2 infection on prevalence of long COVID among a population-based probability sample of Michiganders, 2020-2022.

PURPOSE: To estimate the association between COVID-19 vaccination status at the time of COVID-19 onset and long COVID prevalence. METHODS: We used data from the Michigan COVID-19 Recovery Surveillance Study, a population-based probability sample of adults with COVID-19 (n = 4695). We considered 30-day and 90-day long COVID (illness duration ≥30 or ≥90 days, respectively), using Poisson regression to estimate prevalence ratios (PRs) comparing vaccinated (completed an initial series ≥14 days before COVID-19 onset) to unvaccinated individuals (received 0 doses before COVID-19 onset), accounting for differences in age, sex, race and ethnicity, education, employment, health insurance, and rurality/urbanicity. The full unvaccinated comparison group was further divided into historic and concurrent comparison groups based on timing of COVID-19 onset relative to vaccine availability. We used inverse probability of treatment weights to account for sociodemographic differences between groups. RESULTS: Compared to the full unvaccinated comparison group, the adjusted prevalence of 30-day and 90-day long COVID were lower among vaccinated individuals [PR30-day= 0.57(95%CI:0.49,0.66); PR90-day= 0.42(95%CI:0.34,0.53)]. Estimates were consistent across comparison groups (full, historic, and concurrent). CONCLUSIONS: Long COVID prevalence was 40-60% lower among adults vaccinated (vs. unvaccinated) prior to their COVID-19 onset. COVID-19 vaccination may be an important tool to reduce the burden of long COVID.

What is brain health?

The call to optimize brain health is now a local, regional and global priority. Organizations such as the World Health Organization, Centers for Disease Control and Prevention and Alzheimer's Association, American Academy of Neurology, World Federation of Neurology, and others have developed recommendations for the maintenance of brain health. Brain health definitions range from broad to narrow in scope and may focus on cognition or encompass broader core components such as cerebral, mental and social domains. In this manuscript we will explore various definitions of brain health and its core components, the importance of cognitive and functional domains, and briefly introduce the concept of cognitive medicine in the context of brain health.

The applicability of the central line-associated bloodstream infection (CLABSI) criteria for the evaluation of bacteremia episodes in pediatric oncology patients.

BACKGROUND: The aim of this study was to investigate the applicability of the central line-associated bloodstream infection (CLABSI) criteria of the Centers for Disease Control and Prevention in pediatric oncology patients. METHODS: Bacteremia episodes from 2020 to 2022 from a prospective cohort of pediatric oncology patients with a central venous catheter were included. Episodes were classified by three medical experts following the CLABSI criteria as either a CLABSI or non-CLABSI (i.e., contamination, other infection source, or mucosal barrier injury-laboratory confirmed bloodstream infection (MBI-LCBI)). Subsequently, they were asked if and why they (dis)agreed with this diagnosis following the criteria. The primary outcome was the percentage of episodes where the experts clinically disagreed with the diagnosis given following the CLABSI criteria. RESULTS: Overall, 84 bacteremia episodes in 71 patients were evaluated. Following the CLABSI criteria, 34 (40%) episodes were classified as CLABSIs and 50 (60%) as non-CLABSIs. In 11 (13%) cases the experts clinically disagreed with the diagnosis following the CLABSI criteria. The discrepancy between the CLABSI criteria and clinical diagnosis was significant; McNemar's test p < .01. Disagreement by the experts with the CLABSI criteria mostly occurred when the experts found an MBI-LCBI a more plausible cause of the bacteremia than a CLABSI due to the presence of a gram negative bacteremia (Pseudomonas aeruginosa n = 3) and/or mucositis. CONCLUSIONS: A discrepancy between the CLABSI criteria and the evaluation of the experts was observed. Adding Pseudomonas aeruginosa as an MBI pathogen and incorporating the presence of mucositis in the MBI-LCBI criteria, might increase the applicability.

Dynamic Associations Between Centers for Disease Control and Prevention Social Media Contents and Epidemic Measures During COVID-19: Infoveillance Study.

BACKGROUND: Health agencies have been widely adopting social media to disseminate important information, educate the public on emerging health issues, and understand public opinions. The Centers for Disease Control and Prevention (CDC) widely used social media platforms during the COVID-19 pandemic to communicate with the public and mitigate the disease in the United States. It is crucial to understand the relationships between the CDC's social media communications and the actual epidemic metrics to improve public health agencies' communication strategies during health emergencies. OBJECTIVE: This study aimed to identify key topics in tweets posted by the CDC during the pandemic, investigate the temporal dynamics between these key topics and the actual COVID-19 epidemic measures, and make recommendations for the CDC's digital health communication strategies for future health emergencies. METHODS: Two types of data were collected: (1) a total of 17,524 COVID-19-related English tweets posted by the CDC between December 7, 2019, and January 15, 2022, and (2) COVID-19 epidemic measures in the United States from the public GitHub repository of Johns Hopkins University from January 2020 to July 2022. Latent Dirichlet allocation topic modeling was applied to identify key topics from all COVID-19-related tweets posted by the CDC, and the final topics were determined by domain experts. Various multivariate time series analysis techniques were applied between each of the identified key topics and actual COVID-19 epidemic measures to quantify the dynamic associations between these 2 types of time series data. RESULTS: Four major topics from the CDC's COVID-19 tweets were identified: (1) information on the prevention of health outcomes of COVID-19; (2) pediatric intervention and family safety; (3) updates of the epidemic situation of COVID-19; and (4) research and community engagement to curb COVID-19. Multivariate analyses showed that there were significant variabilities of progression between the CDC's topics and the actual COVID-19 epidemic measures. Some CDC topics showed substantial associations with the COVID-19 measures over different time spans throughout the pandemic, expressing similar temporal dynamics between these 2 types of time series data. CONCLUSIONS: Our study is the first to comprehensively investigate the dynamic associations between topics discussed by the CDC on Twitter and the COVID-19 epidemic measures in the United States. We identified 4 major topic themes via topic modeling and explored how each of these topics was associated with each major epidemic measure by performing various multivariate time series analyses. We recommend that it is critical for public health agencies, such as the CDC, to update and disseminate timely and accurate information to the public and align major topics with key epidemic measures over time. We suggest that social media can help public health agencies to inform the public on health emergencies and to mitigate them effectively.

Vortioxetine for the treatment of post-COVID-19 condition: a randomized controlled trial.

Hitherto no therapeutic has received regulatory approval for the treatment of post-COVID-19 condition (PCC). Cognitive deficits, mood symptoms and significant reduction in health-related quality of life (HRQoL) are highly replicated and debilitating aspects of PCC. We sought to determine the impact of vortioxetine on the foregoing symptoms and HRQoL in persons living with PCC. An 8-week randomized, double-blind, placebo-controlled study of adults ≥ 18 years of age residing in Canada and who are experiencing symptoms of World Health Organization (WHO)-defined PCC, with a history of confirmed SARS-CoV-2 infection, was conducted. Recruitment began November 2021 and ended January 2023. Of the 200 participants enrolled (487 invited: 121 ineligible and 59 eligible but declined participation; 307 cleared pre-screening stage), a total of 149 participants were randomized (1:1) to receive either vortioxetine (5-20 mg, n = 75) or placebo (n = 74) daily for 8 weeks of double-blind treatment (i.e. end point). The primary outcome was the change from baseline-to-end point in the Digit Symbol Substitution Test. Secondary outcomes included the effect on depressive symptoms and HRQoL, as measured by changes from baseline-to-end point on the Quick Inventory of Depressive Symptomatology 16-item and WHO Wellbeing Scale 5-item, respectively. A total of 68 (90.7%) participants randomized to vortioxetine and 73 (98.6%) participants randomized to placebo completed all 8 weeks. Between-group analysis did not show a significant difference in the overall change in cognitive function [P = 0.361, 95% confidence interval (CI) (-0.179, 0.492)]. However, in the fully adjusted model, a significant treatment × time interaction was observed in favour of vortioxetine treatment with baseline c-reactive protein (CRP) as a moderator (P = 0.012). In addition, a significant improvement in Digit Symbol Substitution Test scores were observed in vortioxetine versus placebo treated participants in those whose baseline CRP was above the mean (P = 0.045). Moreover, significant improvement was obtained in measures of depressive symptoms [P < 0.001, 95% CI (-4.378, -2.323)] and HRQoL [P < 0.001, 95% CI (2.297, 4.647)] in vortioxetine-treated participants and between the treatment groups [depressive symptoms: P = 0.026, 95% CI (-2.847, -0.185); HRQoL: P = 0.004, 95% CI (0.774, 3.938)]. Although vortioxetine did not improve cognitive function in the unadjusted model, when adjusting for CRP, a significant pro-cognitive effect was observed; antidepressant effects and improvement in HRQoL in this debilitating disorder were also noted.

An Analysis of Studies Pertaining to Masks in Morbidity and Mortality Weekly Report: Characteristics and Quality of Studies through 2023.

BACKGROUND: The purpose of this study was to describe and evaluate the nature and methodology of reports and appropriateness of conclusions in The Morbidity and Mortality Weekly Report (MMWR) pertaining to masks. Because MMWR has substantial influence on United States health policy and is not externally peer-reviewed, it is critical to understand the scientific process within the journal. Mask policies have been highly influenced by data published in the MMWR. METHODS: Retrospective cross-sectional study of MMWR publications pertaining to masks through 2023. Outcomes included study design, whether the study was able to assess mask effectiveness, if results were statistically significant, if masks were concluded to be effective, if randomized evidence or conflicting data were mentioned or cited, and appropriateness of causal statements. RESULTS: There were 77 studies, all published after 2019, that met our inclusion criteria. The most common study design was observational without a comparator group: 22/77 (28.6%); 0/77 were randomized; 23/77 (29.9%) assessed mask effectiveness; 11/77 (14.3%) were statistically significant, but 58/77 (75.3%) stated that masks were effective. Of these, 41/58 (70.7%) used causal language. One mannequin study used causal language appropriately (1.3%). None cited randomized data; 1/77 (1.3%) cited conflicting evidence. CONCLUSIONS: MMWR publications pertaining to masks drew positive conclusions about mask effectiveness >75% of the time despite only 30% testing masks and <15% having statistically significant results. No studies were randomized, yet over half drew causal conclusions. The level of evidence generated was low and the conclusions were most often unsupported by the data. Our findings raise concern about the reliability of the journal for informing health policy.

Distinguishing infectivity in patients with pulmonary tuberculosis using deep learning.

Introduction: This study aimed to develop and assess a deep-learning model based on CT images for distinguishing infectivity in patients with pulmonary tuberculosis (PTB). Methods: We labeled all 925 patients from four centers with weak and strong infectivity based on multiple sputum smears within a month for our deep-learning model named TBINet's training. We compared TBINet's performance in identifying infectious patients to that of the conventional 3D ResNet model. For model explainability, we used gradient-weighted class activation mapping (Grad-CAM) technology to identify the site of lesion activation in the CT images. Results: The TBINet model demonstrated superior performance with an area under the curve (AUC) of 0.819 and 0.753 on the validation and external test sets, respectively, compared to existing deep learning methods. Furthermore, using Grad-CAM, we observed that CT images with higher levels of consolidation, voids, upper lobe involvement, and enlarged lymph nodes were more likely to come from patients with highly infectious forms of PTB. Conclusion: Our study proves the feasibility of using CT images to identify the infectivity of PTB patients based on the deep learning method.

Telehealth Diabetes Prevention Program for Adults With Prediabetes in an Academic Medical Center Setting: Protocol for a Hybrid Type III Trial.

BACKGROUND: Diabetes is a costly epidemic in the United States associated with both health and economic consequences. These consequences can be mitigated by participation in structured lifestyle change programs such as the National Diabetes Prevention Program (DPP) led by the Centers for Disease Control and Prevention. Mississippi consistently has among the highest rates of diabetes and prediabetes nationally. Implementing the National DPP through large health care systems can increase reach and accessibility for populations at the highest risk for diabetes. Translational research on the National DPP in Mississippi has not been studied. OBJECTIVE: This study aims to evaluate the implementation and impact of the National DPP delivered using telehealth modalities at the University of Mississippi Medical Center in Jackson, Mississippi. METHODS: An effectiveness-implementation hybrid type III research design is proposed. The study design is guided by the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework and the Practical, Robust Implementation and Sustainability Model. Participants are being recruited via provider referral, and the DPP is being delivered by trained lifestyle coaches. Study participants include adult (≥18 years) patients eligible for the DPP with at least 1 encounter at 1 of 3 ambulatory clinic specialties (lifestyle medicine, family medicine, and internal medicine) between January 2019 and December 2023. The National DPP eligibility criteria include a BMI ≥25 kg/m2 and hemoglobin A1c between 5.7% and 6.4%. The University of Mississippi Medical Center criteria include Medicare or Medicaid beneficiaries. The University of Mississippi Medical Center's a priori implementation plan was developed using the Consolidated Framework for Implementation Research and includes 23 discrete strategies. The primary aim will use an embedded mixed method process analysis to identify and mitigate challenges to implementation. The secondary aim will use a nonrandomized quasi-experimental design to assess the comparative effectiveness of the DPP on health care expenditures. A propensity score matching method will be implemented to compare case subjects to control subjects. The primary outcomes include patient referrals, participant enrollment, retention, engagement, the incidence of diabetes, and health care resource use and costs. RESULTS: At baseline, of the 26,151 patients across 3 ambulatory clinic specialties, 1010 (3.9%) had prediabetes and were eligible for the National DPP. Of the 1010 patients, more than half (n=562, 55.6%) were aged 65 years or older, 79.5% (n=803) were Medicare beneficiaries, 65.9% (n=666) were female, and 70.8% (n=715) were obese. CONCLUSIONS: This is the first translational study of the National DPP in Mississippi. The findings will inform implementation strategies impacting the uptake and sustainability of the National DPP delivered in an academic medical setting using distance learning and telehealth modalities. TRIAL REGISTRATION: ClinicalTrials.gov NCT04822480; https://clinicaltrials.gov/study/NCT03622580. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/50183.

Cognitive Behavioral Therapy for AIDS Prevention among College Students in China: A Cluster Randomized Controlled Trial.

BACKGROUND: Acquired immune deficiency syndrome (AIDS) is a serious worldwide public health problem and has become the focus of prevention and control in China, while the student population is the key population for AIDS prevention. OBJECTIVE: The purpose of this study was to investigate the effects of cognitive behavioral therapy (CBT) on college students' AIDS-related cognitions, attitudes, and behaviors, and to find programmatic strategies for AIDS prevention in terms of changing college students' cognitions and behaviors. METHODS: In a cluster randomized controlled trial, 233 undergraduate students were assigned to the CBT group (CBT-based intervention, n=92), the TAU group (treatment as usual, n=72), and the CON group (no intervention, n=59). AIDS-related knowledge, attitudes, and behaviors of participants were assessed at pre-intervention, post-intervention, and follow-up. RESULTS: After one month of the study, AIDS-related knowledge, attitudes, and behaviors improved in both the TAU and CBT groups, while there were no significant changes in the CON group. The intervention effect was more significant and sustainable in the CBT group compared to the TAU group. CONCLUSIONS: The application of CBT in AIDS prevention among college students is feasible, acceptable, and effective. CBT can increase the level of knowledge about AIDS, improve AIDS-related attitudes, and increase willingness to use condoms. CBT is expected to replace traditional health education as an innovative tool for AIDS prevention because of its long-lasting and efficacious nature.

Enhancing Surgical Outcomes: A Critical Review of Antibiotic Prophylaxis in Orthopedic Surgery.

The postoperative burden remains significant due to the possibility of prolonged hospitalization, escalated healthcare costs, and patient distress caused by postorthopedic surgical site infections (SSIs). Orthopedic surgery is likewise faced with a significant challenge posed by these conditions. A positive association has been observed between the presence of postorthopedic SSIs and heightened susceptibility to adverse health outcomes, along with elevated rates of morbidity and mortality. Systemic antibiotic prophylaxis (SAP) reduces the risk of acquiring an SSI. Closed fractures, open fractures, arthroplasty, and percutaneous fixation each possess distinct attributes that impact the data and antimicrobial therapy. When implementing SAP, it is crucial to strike a delicate equilibrium between maintaining effective antibiotic stewardship protocols and preventing the occurrence of SSIs. This practice effectively prevents both the incidence of negative consequences and the emergence of antibiotic resistance. The objective of this study was to examine the existing literature on the use of surgical antibiotic prophylaxis in orthopedic surgery and explore the potential consequences associated with the inappropriate administration of antibiotics.