Behind the Headset: Predictive Accuracy of Patient-Reported Outcome Measures for Voice Symptoms in Call Centers

Objective: This study examines factors predicting self-reported voice symptoms in call center workers. Methods: Multivariate analysis and predictive modeling assess personal, work-related, acoustic, and behavioral factors. Generalized Linear Models (GLMs) and Receiver Operating Characteristic (ROC) curves are employed. Results: Age and sleep patterns impacted voice quality and effort, while workplace factors influenced symptom perception. Unhealthy vocal behaviors related to tense voice and increased effort, while hydration was protective. Voice acoustics showed diagnostic potential, supported by ROC data. These findings emphasize voice symptom complexity in call center professionals, necessitating comprehensive assessment. Limitations: This study recognizes its limitations, including a moderate-sized convenience sample and reliance on PROM metrics. Future research should incorporate more objective measures in addition to self-reports and acoustic analysis. Value: This research provides novel insights into the interplay of personal, occupational, and voice-related factors in developing voice symptoms among call center workers. Predictive modeling enhances risk assessment and understanding of individual susceptibility to voice disorders. Conclusion: Results show associations between various factors and self-reported voice symptoms. Protective factors include sleeping more than six hours and consistent hydration, whereas risk factors include working conditions, such as location and behaviors like smoking. Diagnostic models indicate good accuracy for some voice symptom PROMs, emphasizing the need for comprehensive models considering work factors, vocal behaviors, and acoustic parameters to understand voice issues complexity.

Objetivo: Este estudio examina los factores que predicen los síntomas de voz en los trabajadores de call centers. Métodos: Se utilizan análisis multivariados y modelos predictivos para evaluar factores personales, laborales, acústicos y de comportamiento. Se emplean Modelos Lineales Generalizados (GLM) y curvas ROC. Resultados: La edad y los patrones de sueño afectaron la calidad vocal y el esfuerzo, mientras que los factores laborales influyeron en la percepción de síntomas. Los comportamientos vocales no saludables se relacionaron con voz tensa y mayor esfuerzo, mientras que la hidratación fue protectora. Los parámetros acústicos de voz mostraron potencial diagnóstico respaldado por datos de ROC. Los hallazgos subrayan complejidad de síntomas vocales en profesionales de centros de llamadas, requiriendo una evaluación integral. Limitaciones: Este estudio reconoce sus limitaciones, que incluyen una muestra de conveniencia de tamaño moderado y la dependencia de medidas PROMs. Futuras investigaciones deberían incorporar medidas objetivas, además de los autorreportes y análisis acústico. Importancia: Esta investigación aporta nuevos conocimientos sobre factores personales, laborales y síntomas de voz en trabajadores de call centers. El modelado predictivo mejora la evaluación de riesgos y la comprensión de la susceptibilidad individual a trastornos de la voz. Conclusión: Los resultados muestran asociaciones entre diversos factores y los síntomas vocales reportados. Los factores de protección incluyen dormir más de seis horas y una hidratación constante; los factores de riesgo incluyen las condiciones de trabajo, como la ubicación y comportamientos como fumar. Los modelos de diagnóstico indican una buena precisión para algunas PROMs de síntomas de la voz, lo que subraya la necesidad de modelos integrales que tengan en cuenta los factores laborales, los comportamientos vocales y los parámetros acústicos para comprender la complejidad de los problemas de la voz.

Mental Health of Frontline Nurses in India During COVID-19: A Multisite Study.

Background  The COVID-19 pandemic has been difficult for all healthcare providers. Nurses in Indian hospitals are at risk for mental health consequences of COVID-19-related stress. The study aimed to evaluate the mental health responses of Indian nurses working during the COVID-19 pandemic.  Method The study was carried out during the COVID-19 pandemic from November 2020 to February 2021. Frontline nurses (n=387) working in both government and private sectors were recruited from four hospital centers across Mangalore, India. Nurses were selected based on specific inclusion criteria, including active duty within wards and intensive care units designated for COVID-19 care or suspected cases of SARS-CoV-2 infection. Recruitment and data collection were facilitated by medical residents using a mix of physical and electronic survey methods. Results Nurses within the private sector with low personal protective equipment (PPE) security experienced heightened anxiety. Somatic symptoms were incrementally related to mental health depending on the workplace setting; private sector staff reported greater depression symptoms compared to those in government-run hospitals. Self-efficacy buffered against depression outcomes only in nurses within the private sector working within non-COVID units. Conclusions This study's findings showed differential responses to the stress of COVID-19 based on the setting. Future studies should further explore the factors associated with such differences. Somatic symptoms can be indicators of mental health adversity. Early detection and supportive interventions need to be taken into account.

"I'm pulling through because of you": injured workers' perspective of workplace factors supporting return to work under the Saskatchewan Workers' Compensation Board scheme.

Background: Research demonstrates sustained return to work (RTW) by individuals on medical leave is influenced by personal and job resources and job demands. Relatively few studies have been conducted in the workers' compensation context that is known to have longer absence durations for RTW. Aims: This study sought to illuminate workers' experience as they returned to work following a work injury that was either psychological in nature or involved more than 50 days of disability, with a focus on the co-worker, supervisor, and employer actions that supported their return. Methods: Workers in Saskatchewan, Canada, with a work-related psychological or musculoskeletal injury, subsequent disability, and who returned to work in the last three years, were invited to complete an online survey comprising of free-text questions. Thematic analysis was used to explore participants' experiences. Results: Responses from 93 individuals were analysed. These revealed that persistent pain, emotional distress, and loss of normal abilities were present during and beyond returning to work. Almost two-thirds indicated that the supervisors' and co-workers' support was critical to a sustained return to work: their needs were recognized and they received autonomy and support to manage work demands. By contrast, one-third indicated that the support they expected and needed from supervisors and employers was lacking. Conclusions: Workers returning to work lacked personal resources but co-workers' and supervisors' support helped improve confidence in their ability to RTW. Supervisors and employers should acknowledge workers' experiences and offer support and autonomy. Likewise, workers can expect challenges when returning to work and may benefit from cultivating supportive relationships with co-workers and supervisors.

The role of community health workers in promoting oral health at school settings: A scoping review.

OBJECTIVES: The scoping review aimed to examine the literature on the role of Community Health Workers (CHW) in oral health interventions within school settings. The objectives were to identify the characteristics of school oral health interventions where CHWs played a role; and to assess the outcomes derived from CHW participation in school oral health. METHODS: The scoping review was guided by the Levac et al (2010) framework. Articles selected for this review included all forms of study designs and gray literature. The search strategy included CHW and other non-dental personnel providing oral health activities within schools and the outcomes of these interventions from 1995. Databases included Pubmed, ProQuest, Scopus and EBSCO Host. RESULTS: There were eleven (n = 11) peer reviewed articles included. Only one study in this review related to CHW involvement in school oral health settings. The remaining involved teachers (n = 4), peer learners (n = 3) or a combination of both (n = 3). Characteristics of the interventions ranged from oral health screenings, education, supervised brushing, and community engagements. Three outcomes emerged; widening access to oral health services, acceptability of non-oral health personnel and learners in promoting oral health and improvement of oral health self-care. CONCLUSIONS: The review brought to light the benefits of utilizing non-dental personnel such as teachers and peer learners in augmenting staff capacity for school oral health interventions. In addition, the findings highlighted the need to further research on the feasibility and acceptability of integrating CHW in school oral health settings.

Validating the effectiveness of a self-report tool to predict unsafe behavior of industrial workers: a QEEG analysis.

Objectives. Unsafe behavior (UB) is defined as the likelihood of intentionally or unintentionally deviating from pre-defined plans. This study aims to investigate the validation of a self-report tool for measuring workers' cognitive-based UB using quantitative electroencephalography (QEEG). Methods. The cognitive-based unsafe behavior questionnaire (CUBQ) was completed by 632 front-line workers in a manufacturing industry to identify differences in the backgrounds of the subjects regarding UBs. Two groups were then selected as extreme groups and QEEG was conducted based on the international 10-20 electrode placement. Results. The mean values of absolute power (AP), alpha/beta ratio (ABR) and alpha/gamma ratio (AGR) from brain oscillations in different regions of the cortex were significantly different between the studied groups (p < 0.05). Additionally, these values were found to be significantly correlated with slips, lapses and mistakes, as measured by certain scales of the CUBQ (p < 0.05). Conclusions. The findings of this study indicated differences in brain oscillation activities among industrial workers with different UB backgrounds. These results confirm the effectiveness of CUBQ as a proactive tool for safety practitioners to predict industrial workers' UBs.

Can General Practitioner Opioid Prescribing to Compensated Workers with Low Back Pain Be Detected Using Administrative Payments Data? An Exploratory Study.

BACKGROUND: Approximately one third of Australians with accepted time loss workers' compensation claims for low back pain (LBP) are dispensed opioid analgesics. Structured administrative payments data is scalable but does not directly link opioids to prescribers. We sought to determine whether opioid prescribing by general practitioners (GPs) to workers with workers' compensation claims for LBP can be detected in structured administrative payments data. METHODS: We used a sample of workers with accepted time loss workers' compensation claims for low back pain from 2011 to 2015 from the Australian states of Victoria and South Australia. We structured administrative data to test the assumption that opioid dispenses that occurred immediately after a GP encounter in sequence and occurred on the same date as the GP encounter are likely to be related. We measured the number and proportion of opioid dispenses with a GP encounter prior and the days between a GP encounter and opioid dispense. RESULTS: Nearly one third of workers (32.2%, N = 4,128) in our sample (n = 12,816) were dispensed opioids a median of five times (interquartile range 2, 17). There were 43,324 opioid dispenses to included workers. 30,263 (69.9%) of opioid dispenses were immediately preceded by a GP encounter. Of those dispenses, 51.0% (n = 15,443) occurred on the same day as the GP encounter. CONCLUSION: At least one third of opioids dispensed to workers with claims for LBP can be potentially linked to GP prescribing using workers' compensation structured administrative payments data. This approach could have potential applications in supporting monitoring and audit and feedback systems. Future research should test this approach with a more diverse array of pain medicines and medical practitioners.

Effects of ChatGPT's AI capabilities and human-like traits on spreading information in work environments.

The rapid proliferation and integration of AI chatbots in office environments, specifically the advanced AI model ChatGPT, prompts an examination of how its features and updates impact knowledge processes, satisfaction, and word-of-mouth (WOM) among office workers. This study investigates the determinants of WOM among office workers who are users of ChatGPT. We adopted a quantitative approach, utilizing a stratified random sampling technique to collect data from a diverse group of office workers experienced in using ChatGPT. The hypotheses were rigorously tested through Structural Equation Modeling (SEM) using the SmartPLS 4. The results revealed that system updates, memorability, and non-language barrier attributes of ChatGPT significantly enhanced knowledge acquisition and application. Additionally, the human-like personality traits of ChatGPT significantly increased both utilitarian value and satisfaction. Furthermore, the study showed that knowledge acquisition and application led to a significant increase in utilitarian value and satisfaction, which subsequently increased WOM. Age had a positive influence on WOM, while gender had no significant impact. The findings provide theoretical contributions by expanding our understanding of AI chatbots' role in knowledge processes, satisfaction, and WOM, particularly among office workers.

A Southern addiction evaluation project: investigating the impact of addiction through a survey HBSC based.

Background: Adolescence is a critical phase of development characterized by numerous physical, psychological and social changes. During this stage, individuals may engage in experimentation and risky behavior, leading to increased vulnerability to addiction. This article aims to present the results of a survey based on the HBSC (Health Behavior in School-aged Children) surveillance model in a province of Southern Italy for primary and secondary school students. Methods: We conducted a prospective study from March 2020 to April 2023 through the administration of a questionnaire to students of the healthcare faculties of the University of Messina and primary and secondary school students, composed of 19 items and based on HBSC surveillance. Results: We collected a total of 664 questionnaires. We found that smoking habits increase with age: approximately 31% of secondary school students declare they are real smokers compared to 40% of HCP students. At least once, in the three study groups, students experienced alcohol consumption at different rates, with younger students having a greater propensity to drink than older students. Fortunately, in our sample, no middle school students had tried cannabis. At the same time there is a surprising decrease in gambling in all categories compared to national data. Conclusions: The presence of addictive behaviors in our sample was found to be widespread despite being in line with the national trend. Furthermore, we have observed a reduction in recent years which needs to be investigated to assess the reasons. Primary prevention is probably the main weapon in the hands of politicians and must be applied early in school and community settings to reduce prevalence.

Description of Occupational Contact Dermatitis Related to the Use of Personal Protective Equipment with a History of Atopy in Health Workers at Prof. DR. Chairuddin Panusunan Lubis Universitas Sumatera Utara and H. Adam Malik Hospital.

Introduction: Coronavirus disease 2019 was declared a pandemic by WHO in March 2020. The Indonesian Ministry of Health has recommended many prevention strategies including the use of hand sanitizers (HSs) and the use of personal protective equipment (PPE), especially for healthcare workers. Previous research reported that the increase in the use of HS and PPE is directly proportional to the increase in the incidence of occupational skin diseases. Aims: To find out the prevalence of work-related contact dermatitis patients related to the use of PPE in healthcare workers at Prof. DR. Chairuddin Panusunan Lubis Universitas Sumatera Utara and H. Adam Malik Hospital, Medan, with a history of atopy dermatitis. Materials and Methods: This was a descriptive study including 104 healthcare workers. The results of the study were analysed using prevalence and frequency data distribution. Results: In this study, we found that the majority of occupational skin diseases in healthcare workers are female (n = 64; 62.5%), and the most common age group was 31-33 years old (44.2%). The incidence of contact dermatitis due to the use of PPE in healthcare workers at Prof. DR. Chairuddin Panusunan Lubis Universitas Sumatera Utara and H. Adam Malik Hospital, Medan, was found only in 15 subjects (14.4%), and only 5 (33.3%) of them had a history of suffering from atopy dermatitis. Conclusion: There is high prevalence of contact dermatitis due to PPE at Prof. DR. Chairuddin Panusunan Lubis Universitas Sumatera Utara and H. Adam Malik Hospital, Medan; in 104 research subjects, only 15 people (14.4%) suffered from work-related contact dermatitis with a history of atopy in 5 people (33.3%).

Inequality on the frontline: A multi-country study on gender differences in mental health among healthcare workers during the COVID-19 pandemic.

Healthcare workers (HCWs) were at increased risk for mental health problems during the COVID-19 pandemic, with prior data suggesting women may be particularly vulnerable. Our global mental health study aimed to examine factors associated with gender differences in psychological distress and depressive symptoms among HCWs during COVID-19. Across 22 countries in South America, Europe, Asia and Africa, 32,410 HCWs participated in the COVID-19 HEalth caRe wOrkErS (HEROES) study between March 2020 and February 2021. They completed the General Health Questionnaire-12, the Patient Health Questionnaire-9 and questions about pandemic-relevant exposures. Consistently across countries, women reported elevated mental health problems compared to men. Women also reported increased COVID-19-relevant stressors, including insufficient personal protective equipment and less support from colleagues, while men reported increased contact with COVID-19 patients. At the country level, HCWs in countries with higher gender inequality reported less mental health problems. Higher COVID-19 mortality rates were associated with increased psychological distress merely among women. Our findings suggest that among HCWs, women may have been disproportionately exposed to COVID-19-relevant stressors at the individual and country level. This highlights the importance of considering gender in emergency response efforts to safeguard women's well-being and ensure healthcare system preparedness during future public health crises.

"I Wonder if my Years of Training and Expertise Will be Devalued by Machines": Concerns About the Replacement of Medical Professionals by Artificial Intelligence.

Background: The rapid integration of artificial intelligence (AI) into healthcare has raised concerns among healthcare professionals about the potential displacement of human medical professionals by AI technologies. However, the apprehensions and perspectives of healthcare workers regarding the potential substitution of them with AI are unknown. Objective: This qualitative research aimed to investigate healthcare workers' concerns about artificial intelligence replacing medical professionals. Methods: A descriptive and exploratory research design was employed, drawing upon the Technology Acceptance Model (TAM), Technology Threat Avoidance Theory, and Sociotechnical Systems Theory as theoretical frameworks. Participants were purposively sampled from various healthcare settings, representing a diverse range of roles and backgrounds. Data were collected through individual interviews and focus group discussions, followed by thematic analysis. Results: The analysis revealed seven key themes reflecting healthcare workers' concerns, including job security and economic concerns; trust and acceptance of AI; ethical and moral dilemmas; quality of patient care; workforce role redefinition and training; patient-provider relationships; healthcare policy and regulation. Conclusions: This research underscores the multifaceted concerns of healthcare workers regarding the increasing role of AI in healthcare. Addressing job security, fostering trust, addressing ethical dilemmas, and redefining workforce roles are crucial factors to consider in the successful integration of AI into healthcare. Healthcare policy and regulation must be developed to guide this transformation while maintaining the quality of patient care and preserving patient-provider relationships. The study findings offer insights for policymakers and healthcare institutions to navigate the evolving landscape of AI in healthcare while addressing the concerns of healthcare professionals.

Knowledge, Attitude and Practice Toward Artificial Intelligence Among Healthcare Workers in Private Polyclinics in Jeddah, Saudi Arabia.

Purpose: The objective of our study was to assess awareness, attitudes, and practices regarding artificial intelligence (AI) among healthcare workers in private polyclinics in Jeddah, Saudi Arabia. Methods: We conducted cross-sectional study among healthcare workers in private clinics in Jeddah. Data was collected using a structured, validated questionnaire in Arabic and English on awareness, attitudes, and behaviors regarding AI. Cronbach's alpha for the questionnaire ranged from 0.6 to 0.8. Descriptive and bivariate analysis was done to assess the scores and their association of various sociodemographic variables with awareness, attitudes, and behaviors regarding AI. Multiple linear regression was performed to predict the scores of awareness, attitudes, and behaviors based on the sociodemographic variables. Results: We recruited 361 participants for this study. Approximately, 62% of the healthcare workers were female. The majority (36%) of healthcare workers were nurses, while 25% were physicians. The median awareness, attitude, and behavioral scores were 5/6 (IQR 3-6), 5/8 (IQR 4-7), and 0/3 (IQR 0), respectively. Approximately three-fourths (74%) of the healthcare workers believed that they understood the basic computational principles of AI. Only half of the participants were willing to use AI when making future medical decisions. We found that male healthcare workers had better knowledge scores regarding AI as compared to female healthcare workers (Beta = 0.555, 95%, p value = 0.010), while for attitude scores, being administrative employee as compared to other employees was found to have negative attitude towards AI (Beta = 0.049, 95%, p value = 0.03). Conclusion: We found that healthcare workers had an overall good awareness and optimistic attitude toward AI. Despite this, the majority is worried about the potential consequences of replacing their jobs with AI in the future. There is a dire need to educate and sensitize healthcare workers regarding the potential impact of AI on healthcare.

Social support and suicidality during the COVID-19 pandemic among Brazilian healthcare workers: a longitudinal assessment of an online repeated cross-sectional survey.

INTRODUCTION: Healthcare workers (HCWs) are at an increased risk of suicide compared to non-healthcare workers. This study aims to investigate the association between social support and suicidal ideation and behavior (SIB) during the COVID-19 pandemic among Brazilian HCWs. METHODS: This study utilizes data from 10,885 participants who answered the first (time point 1 - between May and June of 2020) and second (time point 2 - between December 2020 and February 2021) assessments of an online repeated cross-sectional survey for evaluating mental health and quality of life of HCWs during the COVID-19 pandemic in Brazil. Logistic regression analysis was conducted to investigate the relationship between social support as the independent variable (time point 1) and SIB as the outcomes (time point 2). RESULTS: Higher social support was associated with a significantly lower chance of reporting SIB in the month prior to follow-up assessment (adjusted odds ratio [AOR]: 0.71, CI 95% 0.66 - 0.76 and AOR 0.61, CI 95% 0.54 - 0.68, respectively). These associations were independent of sex, age, feelings of loneliness, and self-reported psychiatric disorders. CONCLUSION: Social support is associated with a lower chance of suicidality among HCWs, a protective role that is probably more evident for suicidal behavior.

Unemployed, Immigrant, and Older Asian Workers in a U.S.-Based Job-Training Program: Their Experiences and Well-Being, and Strategies for Reaching This Important Population.

The Senior Community Service Employment Program (SCSEP) is a U.S.-based job-training program that serves unemployed workers aged 55 and older with incomes at or below 125% of the federal poverty level. While federal funds are set aside to serve Asian workers in SCSEP, little is known about their characteristics and experiences. In response, this pilot study aimed to document the health, well-being, and experiences of older Asian SCSEP participants in Massachusetts through the completion of a survey. Respondents (N = 39) ranged in age from 58 to 73 and identified as either Chinese (72%) or Vietnamese (28%). All were immigrants, and almost all spoke a language other than English at home. Most reported "good" health as well as financial difficulties. They also stated that their supervisors in their placements were supportive. On average, respondents noted moderate interest in searching for a paid job after exiting SCSEP, although more reported interest in searching for a volunteer role. Key to the success of this study was a robust collaboration with a local human services organization with strong ties to the Chinese and Vietnamese communities. The findings highlight the importance of this growing group of older workers.

Re: investigating the impact of financial concerns on symptoms of depression in UK healthcare workers: data from the UK REACH nationwide cohort study.

This editorial comments on the paper by Martin McBride and the UK REACH team (published in 2023) investigating financial concerns in UK healthcare workers and depressive symptoms. The research concludes that reporting future financial concerns at baseline increased the odds of depressive symptoms at follow-up around 18 months later. We discuss these findings in the context of the cost-of-living crisis and pay disputes within the NHS, important policy implications and directions for future research.

A comparative analysis of knowledge, attitude, and practice (KAP) towards influenza and influenza vaccination among healthcare workers in Kyrgyzstan prior to and during the COVID-19 pandemic.

INTRODUCTION: Influenza, a globally significant respiratory illness with pandemic potential, affects around 1 billion individuals annually, leading to increased risk for severe illness and mortality. Despite recommendations from the WHO Strategic Advisory Group of Experts on Immunization (SAGE) and MoH prioritization, influenza vaccination coverage rate among HCWs in Kyrgyzstan remains low, ranging between 16 % and 46 % over the past five years. Understanding the Knowledge, Attitudes, and Practices (KAP) dynamics of HCWs regarding influenza vaccinations, both before and during the COVID-19 pandemic is crucial for refining national strategies and institutional approaches to enhance vaccination coverage rates in this important risk group. METHOD: This study employed cross sectional investigations aimed at assessing KAPs among HCWs regarding influenza disease and vaccination. Conducted prior to and during the initial phase of the COVID-19 pandemic, the project involved 2400 participants from diverse medical disciplines. EPI Info was utilized to run biostatistical analyses, with descriptive and logistic regression models, to elucidate the dynamics of KAP over time. RESULTS: The findings indicate that HCWs with over 5 years of experience were more likely to get vaccinated or recommend it to patients (p = 0.000). Low confidence in vaccine effectiveness influenced on recommendations of influenza vaccination in pre-pandemic time, where insufficient (95 %CI 0.08-0.6; p = 0.003) or uncertain assurance in vaccine effectiveness (95 %CI 0.007-0.18; p = 0.000) was a barrier for vaccine promotion during the pandemic. The study underscores to consider mandatory influenza vaccination for HCWs which may impact on likelihood of flu vaccination (p = 0.001). Priority groups for influenza vaccination shifted during the COVID-19 period, emphasizing older adults, individuals with existing conditions, and HCWs, compared to the pre-pandemic focus on HCWs, children, and patients with pre-existing conditions. CONCLUSION: Our investigation provides valuable insights into HCWs KAP concerning influenza vaccination in Kyrgyzstan, highlighting the need for targeted interventions addressing factors influencing vaccine acceptance. The study suggests policy implications, advocating for the revision of national strategies to strengthen capacity building for medical staff.

Engaging Long-Term Care Workers in Research: Recruitment Approaches and Participant Characteristics From a Randomized Controlled Trial to Improve COVID-19 Vaccine Confidence.

OBJECTIVE: To describe and compare the recruitment methods employed in a randomized controlled trial targeting long-term care workers, and resulting participant baseline characteristics. DESIGN: We used a multifaceted recruitment process to enroll long-term care workers in our 3-arm randomized controlled trial comparing 2 interventions to enhanced usual practice, for improving COVID-19 vaccine confidence and other outcomes. SETTING AND PARTICIPANTS: Adult long-term care workers living in the United States employed within the last 2 years were invited to join the study. Participants also had to meet specific screening criteria related to their degree of worry about the vaccine and/or their vaccination status. METHODS: We used a participatory approach to engage our long-term care stakeholders in codesigning and executing a combination of recruitment methods, including targeted e-recruitment, paid e-recruitment, and in-person recruitment. Participants were screened, consented, and enrolled online. We implemented a participant verification process to ensure the integrity of our study data, and used a tailored participant management platform to manage enrollment. RESULTS: We enrolled 1930 long-term care workers between May 2022 and January 2023. We met our enrollment target, despite each recruitment method having limitations. Total variable costs of approximately $102,700 were incurred and differed on a per-enrolled participant basis across methods: $25.72 for targeted e-recruitment, $57.12 for paid e-recruitment, and $64.92 for in-person methods. Our sample differed from the national population in age, gender, race/ethnicity, education, and role in long-term care. Differences were also observed between online and in-person recruitment methods. CONCLUSIONS AND IMPLICATIONS: Our results support the feasibility of enrolling a large number of long-term care workers in a randomized controlled trial to increase COVID-19 vaccine confidence. Findings build upon the evidence base for engaging this important population in research, a critical step to improving long-term care resident health and well-being. Results from our trial are anticipated in 2024.

The moderating role of psychological resilience in the relationship between fear of COVID-19 and psychological distress, in a cohort of rural and regional healthcare workers. During major lockdowns in Victoria, Australia 2020-2021.

The emergence of the COVID-19 pandemic resulted in substantial pressures for healthcare workers across the world. The association between fear of COVID-19 and psychological distress, and the role of psychological resilience have gained research interest. The current study aimed to investigate the cross-sectional association between fear of COVID-19 and psychological distress, in Australian rural/regional healthcare workers and determine whether resilience modifies this association. Most participants were nurses (38.0%), mean age was 44.9 years, and 80.5% were female (N = 1313). An adjusted logistic regression analysis showed that the highest tertile of the Fear of COVID-19 scale was associated with higher odds of moderate to severe symptoms of anxiety (OR = 3.72, 95% CI = 2.27, 6.11; p < 0.001) and depression (OR = 3.48, 95% CI = 2.30, 5.28; p < 0.001). Healthcare workers with high level of fear of COVID-19 and low level of resilience were much more likely to report moderate to severe symptoms of anxiety (OR = 12.27, 95% CI = 6.65-22.65, p < 0.001) and depression (OR = 12.21, 95% CI = 6.93-21.50, p < 0.001) when compared to healthcare workers with low level of fear of COVID-19 and high level of resilience. A cross-sectional design was used and therefore cause and effect between fear of COVID-19 and psychological distress cannot be inferred. Longitudinal research is needed to investigate the possible causal relationship. These findings highlight the potential mental health effects of fear of COVID-19 on HCWs and demonstrate the importance of resilience as a possible moderator of these effects.

Work and self-rated memory among native Hawaiian and other Pacific Islander older adults.

OBJECTIVES: Engagement in work has an important association with cognitive health in later life, yet little is known about this association among Native Hawaiian and other Pacific Islander (NHPI) older adults. This study assesses the associations between various work characteristics and memory problems among this population. DESIGN: Using data from the 2014 Native Hawaiian and Pacific Islander National Health Interview Survey (NHPI NHIS), the research question was explored among those who were aged 50+. RESULTS: Engagement in work, certain occupation types (e.g., clerical or professional occupations compared to blue-collar jobs), and the current/most recent job that is also the longest job held were associated with lower odds of having memory problems. CONCLUSION: The study's results suggest that work characteristics and opportunities to engage in work are important considerations in preventing memory problems in later life. As the NHPI population experiences cognitive health disparities earlier than other groups, timely interventions that focus on work engagement and a culturally relevant environment require further investigation.