Job-Seeking Anxiety and Job Preparation Behavior of Undergraduate Students

This study attempted to examine and compare the job-seeking anxiety and job preparation behavior of undergraduate students. A descriptive cross-sectional study was employed; the study participants were 360 students (3rd and 4th grade), selected from K’ university in G city. Data were collected by structured self-reported questionnaires from November 2020 to February 2021. Variables included general characteristics, job-seeking anxiety and job preparation behavior and were analyzed by descriptive statistics, Pearson’s correlation, and multiple regression analysis by using the SPSS/WIN 25.0 program. Of the total population, 70.8% were female in the health and social science group, the age group was 22–24 years (55.2%; 50.2%) and were fourth grade 62%; 59.1%). The level of job-seeking anxiety of students showed a higher proportion in health science (4.45 ± 0.81) than social science (3.73 ± 0.55). The level of job preparation behavior also revealed the same results in health science (4.28 ± 0.76) and social science (4.06 ± 0.81). Job anxiety showed a positive correlation with employment anxiety induction situation (r = 0.32, p < 0.01) and employment anxiety induction causes (r = 0.27, p < 0.01), and social science students showed a positive correlation with employment anxiety induction situation (r = 0.24, p < 0.01) and employment anxiety induction causes (r = 0.23, p < 0.01). The factors of age, gender and desired job position are highly associated with job-seeking anxiety and job preparation behavior. The findings of this study revealed job-seeking anxiety was higher among the undergraduate students and showed a high level of job preparation behavior. There is a need to develop intervention strategies for promoting job preparation behavior and reducing job-seeking anxiety among undergraduate students by providing career planning to improve the positive attitude towards desired job selection

Comprehensive geriatric assessment and multidisciplinary team interventions for hospitalized older adults: A scoping review

Background/Objectives: Comprehensive geriatric assessment (CGA) is a multidisciplinary diagnostic and treat-ment process to evaluate medical, psychosocial, and functional capability. It is useful to develop a coordinated and integrated plan for frail older patients. This study aimed to examine the current scope of CGA based multidisciplinary team interventions in acute care setting to improve the health outcomes for older adults.Methods: We searched electronic databases: PubMed, Ovid, PsychINFO, Scopus, RISS and KoreaMed from 2011 to 2021. The selected articles were extracted by three reviewers and cross checked by the fourth reviewer to resolve any conflicts. Data were synthesized and analyzed descriptively and thematically. Articles are nested three themes: inpatient (IN), emergency room (ER) and oncology patient (ONCO).Results: Of the 1830 articles that were screened, 710 were potentially eligible. Finally, 26 articles were selected and categorized as IN (n=8), ER (n=7) and ONCO (n=11). Geriatricians and nurses participated in most of the multidisciplinary teams followed by other health professionals. The most effective primary outcomes were focused and retrieved across five domains, screening, prevention, treatment, quality of care, and rehabilitation. The subdomains are problem lists which is common and problematic among hospitalized older patients and retrieved from the most commonly used multidisciplinary interventions according to each domain. Conclusion: CGA based multidimensional intervention (MDI) are likely to be an effective in care of older adults. There is remarkable paradigm shift required to improve better health outcomes for hospitalized older adults. It also suggests that there is a need to design the CGA based MDI to build a standardized protocol for older adults to maintain functional capacity and increase likelihood of living in their own home.N

Ability of the LACE Index to Predict 30-Day Readmissions in Patients with Acute Myocardial Infarction

Aims: This study aimed to utilize the existing LACE index (length of stay, acuity of admission, comorbidity index and emergency room visit in the past six months) to predict the risk of 30-day readmission and to find the associated factors in patients with AMI. Methods: This was a retrospective study and LACE index scores were calculated for patients admitted with AMI between 2015 and 2019. Data were utilized from the hospital’s electronic medical record. Multivariate logistic regression was performed to find the association between covariates and 30-day readmission. The risk prediction ability of the LACE index for 30-day readmission was analyzed by receiver operating characteristic curves with the C statistic. Results: A total of 205 (5.7%) patients were readmitted within 30 days. The odds ratio of older age group (OR = 1.78, 95% CI: 1.54–2.05), admission via emergency ward (OR = 1.45; 95% CI: 1.42–1.54) and LACE score ≥10 (OR = 2.71; 95% CI: 1.03–4.37) were highly associated with 30-day readmissions and statistically significant. The receiver operating characteristic curve C statistic of the LACE index for AMI patients was 0.78 (95% CI: 0.75–0.80) and showed favorable discrimination in the prediction of 30-day readmission. Conclusion: The LACE index showed a good discrimination to predict the risk of 30-day readmission for hospitalized patients with AMI. Further study would be recommended to focus on additional factors that can be used to predict the risk of 30-day readmission; this should be considered to improve the model performance of the LACE index for other acute conditions by using the national-based administrative data

Association between Socioeconomic Status and Healthcare Utilization for Children with Allergic Diseases: Korean National Health and Nutritional Examination Survey (2015–2019)

This study aimed to investigate the association between socioeconomic status (SES) and healthcare utilization by children with allergic diseases. We determined SES based on parental occupation and household income. A cross-sectional study was conducted using the Korean National Health and Nutritional Examination Survey (KNHANES) between 2015 and 2019 with participants who were under 18 years of age. The presence of allergic conditions was determined by a self-reported survey of parental response and healthcare utilization data (such as inpatient and outpatient visits). Moreover, we categorized SES into four quantiles (Q1–Q4) based on household income per annum. Then, the data were analyzed using chi-square tests and multivariate logistic regression analysis with confidence intervals (CIs) of 95%, and p < 0.05 was considered significant. A total of 3250 participants were involved in this study. The percentage of allergic diseases was 67.9% for allergic asthma and 32.1% for atopic dermatitis. It was found that the participants who were over 13 years old had atopic dermatitis and were more likely to visit the hospital than younger children. Additionally, the highest SES group in Q4 demonstrated higher healthcare utilization (OR = 1.58; 95% CI, 1.14–1.76) than other SES groups. Our study reveals that parental socioeconomic characteristics are related to the use of healthcare services for children with allergic disorders in Korea. These results highlight the need for public health actions and research to overcome the SES gap among children with allergic diseases

LACE Index to Predict the High Risk of 30-Day Readmission: A Systematic Review and Meta-Analysis

The LACE index accounts for: Length of stay (L), Acuity of admission (A), Comorbidities (C), and recent Emergency department use (E). This study aimed to explore the LACE index to predict the high risk of 30-day readmission in patients with diverse disease conditions by an updated systematic review. A systematic review carried out by electronic databases from 2011&ndash;2021. The studies included a LACE index score for 30-day of readmission and patients with all types of diseases and were published in the English language. The meta-analysis was performed by using a random-effects model with a 95% confidence interval. Of 3300 records, a total of 16 studies met the inclusion criteria. The country of publication was primarily the USA (n = 7) and study designs were retrospective and perspective cohorts. The average mean age was 64 years. The C-statistics was 0.55 to 0.81. The pooled random effects of relative risk readmission were overall (RR, 0.20; 95% CI, 0.12&ndash;0.34) and it was favorable. The subgroup analysis of the opted disease-based relative risk of readmissions of all causes, cardiovascular and pulmonary diseases, and neurological diseases were consistent and statistically significant at p &lt; 0.001 level. Current evidence of this review suggested that incorporating a high-risk LACE index showed favorable to risk prediction and could be applied to predict 30-day readmission with chronic conditions. Future study would be planned to predict the high risk of 30-day readmission in acute clinical care for utility, and applicability of promising LACE index in South Korean hospitals

The Health-Seeking Behavior of the Elderly with Non-Communicable Diseases in Coastal Areas of Vietnam

This study aimed to analyze the utilization of health care facilities and the health-seeking behavior of elderly people with non-communicable diseases and find the factors that affect them. A cross-sectional study was conducted in seven coastal areas of the Thua Thien Hue province, Vietnam, using a sample of 370 elderly people aged over 60 years. Chi-square and multiple logistic regression analyses were used to examine the factors associated with the utilization of health care services. The participants’ average age was 69.70 (SD), and 18% of them reported having ≥ two non-communicable diseases (NCDs). The results of the study showed that 69.8% of the total participants exhibited health-seeking behaviors. The findings also revealed that elderly people living alone, and those with an average or above-average income, had higher utilization of health care services. Participants with multiple NCDs exhibited more health-seeking behaviors than those with only one (OR: 9.24, 95% CI: 2.66–32.15, p = p = 0.016], [OR: 3.91, 95% CI: 2.04–7.49, p < 0.001], respectively). Health-seeking behavior is one of the most important positive implications for the aged population, as it encompasses one’s physical, mental, and psychological wellbeing. Future studies can aim at gaining an in-depth understanding of the same results, helping improve the health-seeking behavior of elderly people, and enhancing their quality of life

A Scoping Review on Accentuating the Pragmatism in the Implication of Mobile Health (mHealth) Technology for Tuberculosis Management in India

Background: India continues to share a colossal count of the global tuberculosis load, with a perturbing 19% spring in the reported cases in 2021. With the National Tuberculosis Elimination Program (NTEP) consolidated to bring this epidemic to an end by 2025, the rapidly growing mobile health technologies can be utilized to offer promising results. Even though the implementation of this novel strategy is escalating around the globe, its triumph is still sub optimal in India. Objectives: This scoping review intends to explore the available mobile health (mHealth) technologies and analyse the effectiveness of the same for tuberculosis management in India. Methods: An elaborate search in electronic databases, such as PubMed and Google scholar, using the key terms and focussing from the year 2015, provided very broad results focussing on mHealth interventions and their utilisation in TB management in India. Further selection of the inclusive publications was carried out based upon the eligibility requirements as formulated for this review, pertaining to the objective of this study. Results: The collaborate search yielded a total of 858 scientific research papers. After the filtering of the obtained results, a total of 45 articles were selected to be analysed for this review. Published manuscripts, articles in peer review and abstracts from reliable databases were included to obtain vast range of information. Conclusion: The extensive literature search showed a preponderance of mHealth intervention studies focusing on TB treatment and drug monitoring. There exists a paucity of mHealth applications targeted to educate the public and intercept this infectious disease. The scientific articles reviewed and analysed in this scoping review strongly recommend the demployment of mHealth applications to achieve the target of eradicating TB by 2025 in India

Association of behavior pattern with overweight and obesity in South Korean adults-A multi correspondence analysis (KNHANES-2018-2020).

The objective was to determine the association between health-related behaviour with overweight and obesity in South Korean adults by using the Korean National Health and Nutritional Examination Survey (KNHANES) 2018-2020. The study participants were 16,784 aged ≥ 20years. The variables were socio-demographic, lifestyle, food habits and metabolic conditions. The logistic regression analysis performed to find the association by the odds ratio (OR, 95% CI). MCA performed to identify risk factors were computed for overweight and obesity. Overweight and obesity were significantly associated with health behaviour, high income (OR = 1.26; 95% CI: 1.15-1.39), smoking(OR = 1.29; 95% CI: 1.08-1.53), low physical activity(OR = 3.23; 95% CI: 1.79-4.69), diabetes(OR = 2.70; 95% CI: 1.62-4.50), high cholesterol and low HDL(OR = 3.98; 95%CI:2.65-5.97). The high discriminant variables of MCA were aged over 60years, lower education, high income, diabetes, lack of physical activity, and high cholesterol. The findings confirm that the OR of obesity and overweight was likely associated with health behaviour patterns. Besides, it indicates the MCA would be very effective to identify the population-based data context than individual data and it may suggest that more research on association between health behaviours and obesity prevention interventions should be developed for each age group for better health outcomes

Development of Population-Based Cancer Indicators and a Measurement of Cancer Care Continuum Using a Modified Delphi Method

To identify population-based cancer indicators and construct monitoring systems for the entire lifecycle of cancer patients using a modified Delphi method. A modified Delphi method was used to identify the cancer indicators and measurement by scoping review and gray literature. The final list of cancer indicators was developed by consensus of 11 multidisciplinary experts over multiple rounds and rating scored the importance of each indicator on a 10-point scale. Frequency analysis was performed to rate with median scores ≥7 and finalized the list of indicators according to the priority. Initially, 254 indicators were identified, of which 94 were considered important and feasible. After two rounds of rating by the experts and panel discussions, 26 indicators were finalized in six domains: primary prevention (n = 7), secondary prevention (n = 11), treatment (n = 2), quality of life (n = 4), survivor management (n = 1), and end-of-life care (n = 1). The Donabedian model used for examining health services and the Institute of Medicine quality of healthcare domains were applied to the measurement system. Panel experts identified cancer indicators based on priorities with a high level of consensus, providing a scrupulous foundation for community-based monitoring of cancer patients