The association between the mental health disorders, substance abuse, and tobacco use with head & neck cancer stage at diagnosis.

PURPOSE: Mental health disorders, substance abuse, and tobacco use are prevalent in the US population. However, the association between these conditions and head and neck cancer (HNC) stage is poorly understood. This research aims to uncover the relationship between pre-existing mental health disorders, substance abuse, and tobacco use and HNC stage at diagnosis in patients receiving care in an integrated, public safety-net healthcare system. METHODS: This study was a secondary data analysis of linked hospital tumor registries and electronic health record (EHR) data. The study's primary independent variables were the comorbidities of mental health disorders, substance abuse, and tobacco use. The dependent variable was HNC stage at diagnosis, operationalized as early stage (i.e., stages I, II, and III) and advanced stage (stage IV, IVA, IVB, or IVC). The analysis included multivariable logistic regression adjusted for covariates of demographic variables, tumor anato RESULTS: The study population consisted of 357 patients with median age of 59 years, and was primarily male (77%), diverse (Black or African American 41%; Hispanic 22%), and from neighborhoods with low income (median average annual household income $39,785). Patients with a history of mental health disorders with or without tobacco use had significantly lower odds of advanced stage HNC at diagnosis (adjusted OR = 0.35, 95% Confidence Interval [CI]: 0.17-0.72.) while patients with a history of substance abuse with or without tobacco use had significantly higher odds of advanced stage HNC at diagnosis (adjusted OR 1.41, 95% CI: 1.01-1.98) than patients with no history of mental health disorders, substance abuse, or tobacco use. CONCLUSIONS: The relationship between HNC stage at diagnosis and the comorbidities of mental health disorders, substance abuse, or tobacco differs depending on the type and co-occurrence of these comorbidities. These findings demonstrate the need for innovative care delivery models and education initiatives tailored to meet the needs of patients with mental health disorders, substance abuse, and tobacco use that facilitate early detection of HNC.

Acceptance of the Internet-Based Sharing Nursing Service among caregivers of elderly with chronic diseases.

BACKGROUND: In China, Internet-Based Sharing Nursing Service (IBSNS) is a new mode of nursing service delivery that has been in practice for over five years, which enables nurses to provide care at clients' home. However, the acceptance and associated factors of IBSNS among caregivers of elderly with chronic diseases who are the major clients of the service were unclear. AIM: To explore the acceptance of IBSNS and its associated factors among Chinese caregivers of elderly patient with chronic diseases based on the modified Technology Acceptance Model (mTAM). METHODS: A cross-sectional study was conducted from February 2023 to March 2023. Caregivers of hospitalized elderly with chronic diseases were recruited using convenience sampling method from three hospitals in Beijing, China. Data were obtained from self-reports of participants. Structural equation modeling was used to analyze data. RESULTS: A total of 65.1% of the caregivers had neutral to weakly positive behavioral intention of IBSNS use. The mTAM model was supported with good model fit. Perceived ease of use was positively associated with perceived usefulness. Both perceived usefulness and perceived security were positively associated with attitude, consequently, attitude was associated with behavioral intention. CONCLUSIONS: Improving the ease of use, security, and usefulness may be helpful to increase the positive attitude towards IBSNS and behavioral intention of using IBSNS, which provides valuable insights that can help healthcare providers improve the integration of technology in patient care, ultimately leading to better health outcomes and more efficient healthcare systems.

Medicare Advantage and Home Health Care: A Systematic Review.

OBJECTIVES: Home health care serves millions of Americans who are "Aging in Place," including the rapidly growing population of Medicare Advantage (MA) enrollees. This study systematically reviewed extant evidence illustrating home health care (HHC) services to MA enrollees. METHODS: A comprehensive literature search was conducted in 6 electronic databases to identify eligible studies, which resulted in 386 articles. Following 2 rounds of screening, 30 eligible articles were identified. Each study was also assessed independently for study quality using a validated quality assessment checklist. RESULTS: Of the 30 studies, nearly half (n=13) were recently published between January 1, 2017 - January 6, 2022. Among various issues related to HHC to MA enrollees examined, which were often compared with Traditional Medicare (TM) enrollees, the 2 most studied issues were HHC use rate (including access) and care dosage/intensity. Inconsistencies were common in findings across reviewed studies, with slight variations in the level of inconsistency by studied outcomes. Several critical issues, such as heterogeneity of MA plans, influence of MA-specific features, and program response to policy and quality improvement initiatives, were only examined by 1 or 2 studies. The depth and scope of scientific investigation were also limited by the scale and details available in MA data in addition to other methodological limits. CONCLUSIONS: Wild variations and conflicting findings on HHC to MA beneficiaries exist across studies. More research with rigorous designs and robust MA encounter data is warranted to determine home health care for MA enrollees and the relevant outcomes.

Home Health Care to Asian Americans: a Systematic Review.

OBJECTIVE: Despite being the fastest growing minority group in the USA, Asian Americans are among the least studied ones, particularly in the home and community-based services settings. This study aimed to review and synthesize extant evidence on Asian American's access, utilization, and outcomes of home health care. METHODS: This is a systematic review study. A comprehensive literature search was conducted in PubMed and CINAHL as well as hand search. Each study was screened, reviewed, and evaluated for quality by at least two reviewers independently. RESULTS: Twelve articles were determined eligible and included for review. Asian Americans were less likely to be discharged to home health care following hospitalization. At admission to home health care, Asian Americans had a high rate of inappropriate medication issues (28%) and they also had poorer functional status compared to White Americans. Asian Americans were also reported with less improvement in functional status at the end of home health care; however, there were some inconsistencies in the evidence on Asian Americans' utilization of formal/skilled home health care. Quality evaluation indicated that findings from some studies were limited by small sample size, single site/home health agency, analytic approaches, and other methodologic limitations. CONCLUSIONS: Asian Americans often experience inequities in home health care access, utilization, and outcomes. Multilevel factors may contribute to such inequities, including structural racism. Robust research using population-based data and advanced methodology is needed to better understand home health care to Asian Americans.

Chain mediations of perceived social support and emotional regulation efficacy between role stress and compassion fatigue: insights from the COVID-19 pandemic.

Background: Nurses at the frontline faced high risks of the COVID-19 infection, undertook heavy workloads of patient care, and experienced tremendous stress that often led to compassion fatigue. Aim: This study was to explore the role of positive psychosocial resources (i.e., perceived social support and emotional regulation efficacy) in the relationship between role stress and compassion fatigue. Methods: A cross-sectional design was conducted in Hubei Province, China between May and September 2021. The Role Stress Questionnaire, the Perceived Social Support Scale, the Emotional Regulation Efficacy Scale, and the Professional Quality of Life Scale were used to measure key variables of interest. Nurse socio-demographic data were also collected. Structural equation modeling was used to explore the relationships, including potential mediating effect, among role stress, perceived social support, emotional regulation efficacy, and compassion fatigue. Results: A total of 542 nurses participated in this investigation, and 500 were eventually enrolled in the analysis. The incidence of compassion fatigue among nurses was 94.2%, including 65.8% of nurses reporting at least moderate compassion fatigue. Univariate analysis showed that educational level, marital status, hospital rank, sleep time were the factors affecting compassion fatigue of the nurses. The structural equation modeling revealed that: Role stress had a direct positive effect on compassion fatigue; Perceived social support and emotional regulation efficacy partially mediated the link between role stress and compassion fatigue respectively; And there was a chain mediating role of perceived social support and emotional regulation efficacy between role stress and compassion fatigue. Conclusion: The incidence of compassion fatigue was high during the COVID-19 pandemic among bedside nurses in China. Improving social support and enhancing the efficacy of emotion regulation may help alleviate compassion fatigue directly and/or via buffering the impact of role stress.

Where Patients Live Matter in Emergency Department Visits in Home Health Care: Rural/Urban Status and Neighborhood Socioeconomic Status.

An increasing body of evidence highlights the importance of an individual's place of residence on their health and functional outcomes. This study is based on Outcome and Assessment Information Set data to assess the differences in emergency department visits among Medicare home health care patients by patients' residence location (rural/urban status and neighborhood socioeconomic status). Compared to urban patients, a disproportionately higher proportion of rural patients lived in more or most disadvantaged neighborhoods (83.9% vs. 41.3%). Using linear probability regression models, patients in rural areas (coefficient = .02, p < .001) and disadvantaged neighborhoods (less disadvantaged: coefficient = .02, p < .001; more disadvantaged: coefficient = .034, p < .001; most disadvantaged: coefficient = .042, p < .001) were more likely to experience emergency department visits. Policymakers should consider utilizing area-based target interventions to mitigate gaps in home health care. Also, given that the majority of rural patients reside in disadvantaged neighborhoods, neighborhood characteristics should be considered in addressing rural-urban disparities and improving home health care.

Continuity of Care Versus Language Concordance as an Intervention to Reduce Hospital Readmissions From Home Health Care.

BACKGROUND: Language concordance between health care practitioners and patients have recently been shown to lower the risk of adverse health events. Continuity of care also been shown to have the same impact. OBJECTIVE: The purpose of this paper is to examine the relative effectiveness of both continuity of care and language concordance as alternative or complementary interventions to improve health outcomes of people with limited English proficiency. DESIGN: A multivariable logistic regression model using rehospitalization as the dependent variable was built. The variable of interest was created to compare language concordance and continuity of care. PARTICIPANTS: The final sample included 22,103 patients from the New York City area between 2010 and 2015 who were non-English-speaking and admitted to their home health site following hospital discharge. MEASURES: The odds ratio (OR) average marginal effect (AME) of each included variable was calculated for model analysis. RESULTS: When compared with low continuity of care and high language concordance, high continuity of care and high language concordance significantly decreased readmissions (OR=0.71, 95% CI: 0.62-0.80, P<0.001, AME=-4.95%), along with high continuity of care and low language concordance (OR=0.80, 95% CI: 0.74-0.86, P<0.001, AME=-3.26%). Low continuity of care and high language concordance did not significantly impact readmissions (OR=1.04, 95% CI: 0.86-1.26, P=0.672, AME=0.64%). CONCLUSION: In the US home health system, enhancing continuity of care for those with language barriers may be helpful to address disparities and reduce hospital readmission rates.

A multi-language qualitative study of limited English proficiency patient experiences in the United States.

Objective: The purpose of this study was to understand the limited English proficiency patient experience with health care services in an urban setting in the United States. Methods: Through a narrative analysis approach, 71 individuals who spoke either Spanish, Russian, Cantonese, Mandarin, or Korean shared their experiences through semi-structured interviews between 2016 and 2018. Analyses used monolingual and multilingual open coding approaches to generate themes. Results: Six themes illustrated patient experiences and identified sources of structural inequities perpetuating language barriers at the point of care. An important thread throughout all interviews was the sense that the language barrier with clinicians posed a threat to their safety when receiving healthcare, citing an acute awareness of additional risk for harm they might experience. Participants also consistently identified factors they felt would improve their sense of security that were specific to clinician interactions. Differences in experiences were specific to culture and heritage. Conclusions: The findings highlight the ongoing challenges spoken language barriers pose across multiple points of care in the United States' health care system. Innovation: The multi-language nature of this study and its methodological insights are innovative as most studies have focused on clinicians or patient experiences in a single language.

Psychological distress and its associated factors among patients with chronic obstructive pulmonary disease in Hunan, China: a cross-sectional study.

Patients with chronic obstructive pulmonary disease (COPD) experience a high risk for psychological distress. Understanding what factors contributing to this risk is vital for developing effective interventions to address COPD-related psychological distress. To examine psychological distress and its associated factors in COPD patients in China. This is a cross-sectional study. Using cluster random sampling, 351 COPD patients participated in and completed a questionnaire survey from June 2021 to January 2022. Instruments used in this research included a self-designed social-demographic questionnaire, the Kessler Psychological Distress Scale (K10), the COPD Knowledge Question, the Type D Personality Scale (DS-14), the COPD Assessment Test (CAT), and modified Medical Research Council Dyspnea Score (mMRC). Multivariate linear regressions were used in the final analysis. Among 351 COPD patients, 307 (or 87.5%) had psychological distress. Our univariate analysis indicated that psychological distress scores were significantly associated with monthly household income (F = 2.861, P < 0.05), exercise frequency (F = 4.039, P < 0.01), type D personality (t = 5.843, P < 0.01), years with COPD (rs = 0.156, P < 0.01), frequency of acute exacerbation (rs = 0.114, P < 0.05), mMRC score (rs = 0.301, P < 0.01), and CAT score (rs = 0.415, P < 0.01). Our final multivariate linear regression showed that exercise frequency (coefficient = -1.012, P < 0.01) was an independent protective factor of psychological distress in COPD patients, while type D personality (coefficient = 3.463, P < 0.001), mMRC score (coefficient = 1.034, P < 0.001) and CAT score were independent risk factors (coefficient = .288, P < 0.001). No relationship was observed between psychological distress and knowledge of COPD. Psychological distress is commonly presented among COPD patients in China. Findings from this study suggest promoting and increasing frequency of exercise will be beneficial in reducing psychological distress among COPD patients. This study also highlights the importance of assessing personality type, dyspnea, and impact of COPD on daily living for preventing and managing psychological distress due to COPD. In addition, Given the high rate of psychological distress among COPD patients, policymakers should consider making mental health resources easily available and accessible to this vulnerable population.

Relationship between antenatal sleep quality and depression in perinatal women: A comprehensive meta-analysis of observational studies.

BACKGROUND: Perinatal depression is a global mental health problem. Studies have suggested that perinatal depression is related to poor sleep quality during pregnancy. However, evidence on the influence and mechanism of sleep quality on the risk of developing perinatal depression remains limited and inconclusive. METHODS: A systematic review was conducted in PubMed, Web of Science, Embase, CINAHI and Cochrane Library for relevant original quantitative studies published in English. A hand search of the reference list of relevant studies was also performed. Meta-analysis was performed using RevMan software and a random-effects model. Potential heterogeneity source was explored by subgroup and sensitivity analyses, and potential publication bias was tested using funnel plots and Begg's test. RESULTS: A total of ten studies involving 39,574 participants were included in our meta-analysis. Overall, women who experienced poor sleep quality during pregnancy were at a significantly higher risk of developing depression, with antenatal depression 3.72 times higher, postpartum depression 2.71 times higher, and perinatal depression 3.46 times higher, compared to those did not experience poor sleep quality. LIMITATIONS: Different measuring tools and unobserved confounding factors may make some bias in our result. What's more, not all included studies were initially designed to assess the association between antenatal sleep quality and the risk of developing perinatal depression. CONCLUSION: Our meta-analysis found that antenatal sleep quality was negatively associated with the risk for perinatal depression. Our findings highlight the importance of improving sleep quality during pregnancy for mental health among perinatal women.

Quality of care in home health agencies with and without accreditation: a cohort study.

While home health agencies (HHAs) can seek accreditation to recognize their quality of service, it is unknown whether agencies with accreditation perform better in providing care than those without accreditation. Using 5-year data from national data sources, the aims of this study were: 1) to depict characteristics of HHAs with and without accreditation; and 2) to examine the relationship between accreditation status and HHA performance on quality-of-care metrics. This study analyzed 7,697 agencies in the US and found that 1) agencies that were for-profit, urban, not-hospital-affiliated, single-branch, Medicare enrolled only, and without hospice program were more likely to have accreditation; and 2) overall, accredited agencies performed better on the three commonly used quality indicators, timely initiation of care, hospitalization, and emergency department visit, though not all the observed differences were substantial in absolute value. Our results provide unique empirical information to agencies considering seeking accreditation.

Implementing a quality improvement program to reduce falls and increase patient medication satisfaction in an academic medical center.

BACKGROUND: Hospitalized older adult medication-related falls are common and understudied. LOCAL PROBLEM: There were organizational educational gaps identified in assisting nurses to recognize and mitigate medication associated side effects that may predispose hospitalized older adults to fall. METHODS: A quality improvement project that utilized pre and post-test design. An eLearning module was developed and distributed to registered nurses in a medical unit. INTERVENTIONS: Eighty registered nurses participated in an eLearning module that included patient and family centered evidence-based guidelines and teach-back guides related to medication fall safety. RESULTS: An increase in overall (2.2%) medication patient satisfaction scores and decrease (8%) in falls for patients > 65 years old over a 4-month period. CONCLUSIONS: There is benefit of implementing a structured medication fall risk education program for nurses on a medical unit. Patient satisfaction related to communication about medications and a reduction in falls was impacted by this interdisciplinary intervention.

Corrigendum: Chain mediations of perceived social support and emotional regulation efficacy between role stress and compassion fatigue: insights from the COVID-19 pandemic.

[This corrects the article DOI: 10.3389/fpubh.2023.1269594.].

Data Quality of Automated Comorbidity Lists in Patients With Mental Health and Substance Use Disorders.

EHRs provide an opportunity to conduct research on underrepresented oncology populations with mental health and substance use disorders. However, a lack of data quality may introduce unintended bias into EHR data. The objective of this article is describe our analysis of data quality within automated comorbidity lists commonly found in EHRs. Investigators conducted a retrospective chart review of 395 oncology patients from a safety-net integrated healthcare system. Statistical analysis included κ coefficients and a condition logistic regression. Subjects were racially and ethnically diverse and predominantly used Medicaid insurance. Weak κ coefficients ( κ = 0.2-0.39, P < .01) were noted for drug and alcohol use disorders indicating deficiencies in comorbidity documentation within the automated comorbidity list. Further, conditional logistic regression analyses revealed deficiencies in comorbidity documentation in patients with drug use disorders (odds ratio, 11.03; 95% confidence interval, 2.71-44.9; P = .01) and psychoses (odds ratio, 0.04; confidence interval, 0.02-0.10; P < .01). Findings suggest deficiencies in automatic comorbidity lists as compared with a review of provider narrative notes when identifying comorbidities. As healthcare systems increasingly use EHR data in clinical studies and decision making, the quality of healthcare delivery and clinical research may be affected by discrepancies in the documentation of comorbidities.

Rural and urban disparities in quality of home health care: A longitudinal cohort study (2014-2018).

PURPOSE: Home health care is one of the fastest growing health care sectors in the United States. However, little is known of differences in trends in quality performance between rural and urban home health agencies over time. This study aimed to examine disparities in quality performance between rural and urban home health agencies between 2014 and 2018. METHODS: This is a cohort study using 2014-2018 national Home Health Compare data and Providers of Service Profile data, including 7,908 home health agencies, of which 1,537 were rural agencies. Quality performance measures included timely initiation of care, hospitalization, and emergency department (ED) visits. Two-level hierarchical regression models were used to identify rural-urban differences in these quality indicators over time when controlling organizational characteristics. FINDINGS: Rural agencies were less likely to be for-profit and accredited, and more likely to be hospital-based, serve both Medicare and Medicaid beneficiaries, and have hospice programs. Rural agencies consistently outperformed on timely initiation of care over time, and urban agencies consistently outperformed on hospitalization and ED visits over time. These gaps between rural and urban agencies were steady over time except the gap in hospitalization, which slightly narrowed over time (Coef. = 0.11, P = .001 for urban and year interaction term). CONCLUSIONS: Significant differences exist in quality of care between rural and urban home health agencies and such differences have not been significantly narrowed over time. To reduce rural-urban disparities, policy makers should take into account unique challenges faced by urban and rural agencies when making policy decisions.

Assessing the influence of patient language preference on 30 day hospital readmission risk from home health care: A retrospective analysis.

BACKGROUND: In home health care, language barriers are understudied. Language barriers between patients and providers are known to affect a variety of patient outcomes. How a patient's language preference influences hospital readmission risk from home health care has yet to be determined. OBJECTIVE: To determine if home care patients' language preference is associated with their risk for hospital readmission from home health care within 30 days of hospital discharge. DESIGN: Retrospective cross-sectional study of hospital readmissions from an urban home health care agency's administrative records and the national electronic home health care record for the United States, captured between 2010 and 2015. SETTING: New York City, New York, USA. PARTICIPANTS: The dataset comprised 90,221 post-hospitalization patients and 6.5 million home health care visits. METHODS: First, a Chi-square test was used to determine if there were significant differences in crude readmission rates based on language group. Inverse probability of treatment weighting was used to adjust for significant differences in known hospital readmission risk factors between to examine all-cause hospital readmission during a home health care stay. The final matched sample included 87,561 patients with a language preference of English, Spanish, Russian, Chinese, or Korean. English-speaking patients were considered the comparison group to the non-English speaking patients. A Marginal Structural Model was applied to estimate the impact of non-English language preference against English language preference on rehospitalization. The results of the marginal structural model were expressed as an odds ratio of likelihood of readmission to the hospital from home health care. RESULTS: Home health patients with a non-English language preference had a higher hospital readmission risk than English-speaking patients. Crude readmission rate for the limited English proficiency patients was 20.4% (95% CI, 19.9-21.0%) overall compared to 18.5% (95% CI, 18.7-19.2%) for English speakers (p < 0.001). Being a non-English-speaking patient was associated with an odds ratio of 1.011 (95% CI, 1.004-1.018) in increased hospital readmission rates from home health care (p = 0.001). There were also statistically significant differences in readmission rate by language group (p < 0.001), with Korean speakers having the lowest rate and Spanish speakers having the highest, when compared to English speakers. CONCLUSIONS: People with a non-English language preference have a higher readmission rate from home health care. Hospital and home healthcare agencies may need specialized care coordination services to reduce readmission risk for these patients. Tweetable abstract: A new US-based study finds that home care patients with language barriers are at higher risk for hospital readmission.

Does psychosocial support buffer the effect of COVID-19 related stressors on mental health among Chinese during quarantine?

The effect of the COVID-19 related stressors on the mental health of both infected patients and the general public has been well established. However, knowledge is limited on how psychosocial support buffers the association. This study aimed to examine this buffering role in the context of China. We utilized cross-sectional data collected online in mid-March 2020, involving 585 respondents. Mental health status was determined through depression symptoms and loneliness. COVID-19 related stressors include three aspects: perceived severity, perceived threat to life and health, and perceived risk of COVID-19 infection. Psychosocial support included family and social supports. Analyses include ordinary linear regression. The finding showed that psychosocial support buffered the negative effect of loneliness in the context of perceived severity of COVID-19, but appeared to intensify the negative effect of depression symptoms in the context of perceived threat to life and health. However, there was no significant buffering effect on depression or loneliness in the context of the perceived risk of infection. The buffering effect of psychosocial support on COVID-19 related stressors is of mixed patterns. This study contributes to the emerging body of literature trying to understand how the COVID-19 impacts the mental health of individuals.

Factors associated with difficulty in adapting and intent to leave among new graduate nurses in South Korea.

BACKGROUND: New graduate nurses experience difficulty in adapting to a new environment, which affects intent to leave. However, data on the factors contributing to difficulty in adapting and intent to leave among new graduate nurses are insufficient. PURPOSE: The aim of the study was to explore and compare factors associated with difficulty in adapting and the intent to leave among new graduate nurses in South Korea. METHODOLOGY: This cross-sectional study used secondary data analysis. Primary data were obtained from the 2015-2016 Korean National Graduates Occupational Mobility Survey. Descriptive statistics, independent t tests, and chi-square statistics with weighted samples besides multivariate logistic regression analyses were conducted (N = 467). RESULTS: Roughly 46% of nurses reported difficulty adapting, and 16% expressed their intent to leave. The factors linked to difficulty in adapting were working at large hospitals with rotating shifts, low person-job fit, and low satisfaction with personal competency; intent to leave was associated with high monthly salary and low satisfaction with the workplace (all ps < .05). Difficulty in adapting did not equate to their intent to leave. CONCLUSIONS: There were high rates of difficulty in adapting and intent to leave among new graduate nurses. Although different factors were associated with difficulty adapting and intent to leave, workplace condition is a common factor. PRACTICE IMPLICATIONS: Different strategies are needed to improve adaptation and intention of leaving among new graduate nurses. For better adaptation, developing training programs enhancing professional competency with a sufficient training period is required. In addition, providing staff and resources to reduce the intent to leave is crucial.