Objectives: This study explores the potential of the HeLe Service Delivery Model, a community-based newborn hearing screening (NHS) program supported by a web-based referral system, in improving provision of hearing care services. Methods: This prospective observational study evaluated the HeLe Service Delivery Model based on records review and user perspectives. We collected system usage logs from July to October 2018 and data on patient outcomes. Semi-structured interviews and review of field reports were conducted to identify implementation challenges and facilitating factors. Descriptive statistics and content analysis were used to analyze quantitative and qualitative data, respectively. Results: Six hundred ninety-two (692) babies were screened: 110 in the RHUs and 582 in the Category A NHS hospital. Mean age at screening was 1.4±1.05 months for those screened in the RHU and 0.46±0.74 month for those in the Category A site. 47.3% of babies screened at the RHU were ≤1 month old in contrast to 86.6% in the Category A hospital. A total of 10 babies (1.4%) received a positive NHS result. Eight of these ten patients were referred via the NHS Appointment and Referral System; seven were confirmed to have bilateral profound hearing loss, while one patient missed his confirmatory testing appointment. The average wait time between screening and confirmatory testing was 17.1±14.5 days. Facilitating factors for NHS implementation include the presence of champions, early technology adopters, legislations, and capacity-building programs. Challenges identified include perceived inconvenience in using information systems, cost concerns for the patients, costly hearing screening equipment, and unstable internet connectivity. The lack of nearby facilities providing NHS diagnostic and intervention services remains a major block in ensuring early diagnosis and management of hearing loss in the community. Conclusion The eHealth-enabled HeLe Service Delivery Model for NHS is promising. It addresses the challenges and needs of community-based NHS by establishing a healthcare provider network for NHS in the locale, providing a capacity-building program to train NHS screeners, and deploying health information systems that allows for documentation, web-based referral and tracking of NHS patients. The model has the potential to be implemented on a larger scale — a deliberate step towards universal hearing health for all Filipinos.
Neonatal Screening ; Hearing Loss ; Health Information Systems ; Community Health Services ; Delivery of Health Care

Obesity is a growing global public health problem, while 40%-70% of obesity is determined by genetic factors. This article focuses on the classification, disease characteristics, diagnosis and progressive treatment of childhood genetic obesity. The prevention and control of childhood genetic obesity requires early detection of obese individuals and early screening of obesity causes. At the same time, clinicians are advised to propose individualized therapy and intervention measures based on multi-disciplinary opinions to improve the health of genetic obese children.
Child ; Humans ; Mass Screening ; Pediatric Obesity/prevention & control* ; Public Health

INTRODUCTION: Breast cancer is a leading cause of cancer death among women, and its age-standardised incidence rate is one of the highest in Asia. We aimed to review studies on barriers to breast cancer screening to inform future policies in Singapore. METHOD: This was a literature review of both quantitative and qualitative studies published between 2012 and 2020 using PubMed, Google Scholar and Cochrane databases, which analysed the perceptions and behaviours of women towards breast cancer screening in Singapore. RESULTS: Through a thematic analysis based on the Health Belief Model, significant themes associated with low breast cancer screening uptake in Singapore were identified. The themes are: (1) high perceived barriers versus benefits, including fear of the breast cancer screening procedure and its possible outcomes, (2) personal challenges that impede screening attendance and paying for screening and treatment, and (3) low perceived susceptibility to breast cancer. CONCLUSION Perceived costs/barriers vs benefits of screening appear to be the most common barriers to breast cancer screening in Singapore. Based on the barriers identified, increasing convenience to get screened, reducing mammogram and treatment costs, and improving engagement with support groups are recommended to improve the screening uptake rate in Singapore.
Breast Neoplasms/epidemiology* ; Early Detection of Cancer ; Female ; Health Knowledge, Attitudes, Practice ; Humans ; Mammography ; Mass Screening ; Singapore/epidemiology*

Type 2 diabetes mellitus (DM) is becoming major health threat worldwide and it is extremely common in clinical setting. Malaysia is one of the highest diabetic populations among Asian countries and the new cases are increasing day to day. Early detection of people with high risk of Type 2 DM by using simple, easy and cost-effective assessment tool is the better way to identify and prevent the community from this non-communicable disease. The objectives of the study were to identify those are high risk to become type 2DM among Malaysians by using risk scoring form and to educate them how to prevent it. Total 591 subjects were recruited from the health screening programs carried out by the collaboration of Petaling Jaya Development Council (MBPJ) and Lincoln University College, Malaysia. Modified form of Finnish Type 2 Diabetes Risk Assessment Tool was used to identify people at risk of becoming type 2 DM. Descriptive analysis was performed for all included variables in this study by using SPSS version 21. The study found out that almost half of the participants were found to have family history of DM, 60% of them were overweight and obese and 47% were having above normal waist circumference. We observed that nearly 60 % of participants in the study were having moderate to high risk of becoming type 2 DM in next 10 years. To conclude, the result of our study would be helpful in implementation of cost-effective, convenient Type 2 DM risk assessment tool which has yet to be implemented in Malaysia.
Type 2 diabetes mellitus ; assessment tool ; health screening ; prevention

Health Insurance Service-Senior Cohort database, we identified 39,519 people who participated in the National Screening Program for Transitional Ages at the age of 66 during 2007–2008. Impaired mobility was defined as taking 10 seconds or longer to perform the TUG test. Functional dependency occurrence was defined as the initiation of receiving national Long-Term Care Insurance services—home care or admission to long-term care facilities. Cox proportional hazard regression models were used to assess the hazard ratios (HRs) for dependency occurrence according to baseline TUG test results.RESULTS: The mean follow-up period was 5.7 years. Occurrence rates of dependency were 2.0 and 3.4 cases per 1,000 person-years in the normal and impaired TUG groups, respectively. Impaired mobility was associated with a higher risk of functional dependency occurrence (adjusted HR [aHR], 1.65; 95% confidence interval [CI], 1.40–1.95; P < 0.001). Additionally, in the subgroup analysis for the participants with intact baseline activities of daily living, impaired mobility was associated with a higher risk of dependency occurrence (aHR, 1.65; 95% CI, 1.33–2.04; P < 0.001).CONCLUSION: The TUG test might be a useful predictive marker of subsequent functional dependency occurrence. Intervention to prevent functional dependency may be helpful for older adults with impairment on the TUG test.]]>
Activities of Daily Living ; Adult ; Cohort Studies ; Follow-Up Studies ; Gait ; Geriatric Assessment ; Humans ; Insurance, Long-Term Care ; Long-Term Care ; Mass Screening ; National Health Programs

PURPOSE: The incidence of drug-induced liver injury (DILI) has been increasing; however, few algorithms are available to identify DILI in electronic health records (EHRs). We aimed to identify and evaluate DILI with an appropriate screening algorithm.METHODS: We collected data from 3 university hospitals between June 2015 and May 2016 using our newly developed algorithm for identifying DILI. Among patients with alanine transferase (ALT) ≤ 120 IU/L and total bilirubin (TB) ≤ 2.4 mg/dL in blood test results within 48 hours of admission, those who either had 1) ALT > 120 IU/L and TB > 2.4 mg/dL or 2) ALT > 200 IU/L at least once during hospitalization were identified. After excluding patients with liver disease-related diagnosis at discharge, medical records were retrospectively reviewed to evaluate epidemiological characteristics of DILI.RESULTS: The total number of inpatients was 256,598, of whom 1,100 (0.43%) were selected by the algorithm as suspected DILI. Subsequently, 365 cases (0.14% of total inpatients, 95% confidence interval, 0.13–0.16) were identified as DILI, yielding a positive predictive value of 33.1%. Antibiotics (n = 214, 47.2%) were the major class of causative drug followed by chemotherapeutic agents (n = 87, 19.2%). The most common causative drug was piperacillin-tazobactam (n = 38, 8.4%); the incidence of DILI by individual agent was highest for methotrexate (19.4 cases/1,000 patients administered the drug). Common reasons for excluding suspected DILI cases were ischemic hepatitis and postoperative liver dysfunction.CONCLUSIONS: Using our EHR-based algorithm, we identified that approximately 0.14% of patients developed DILI during hospitalization. Further studies are needed to modify criteria for more accurate identification of DILI.
Alanine ; Anti-Bacterial Agents ; Bilirubin ; Diagnosis ; Drug-Induced Liver Injury ; Drug-Related Side Effects and Adverse Reactions ; Electronic Health Records ; Hematologic Tests ; Hepatitis ; Hospitalization ; Hospitals, University ; Humans ; Incidence ; Inpatients ; Liver ; Liver Diseases ; Mass Screening ; Medical Records ; Methotrexate ; Pharmacoepidemiology ; Retrospective Studies ; Transferases

BACKGROUND AND OBJECTIVES: We aim to explore the additional discriminative accuracy of a deep learning (DL) algorithm using repeated-measures data for identifying people at high risk for cardiovascular disease (CVD), compared to Cox hazard regression.METHODS: Two CVD prediction models were developed from National Health Insurance Service-Health Screening Cohort (NHIS-HEALS): a Cox regression model and a DL model. Performance of each model was assessed in the internal and 2 external validation cohorts in Koreans (National Health Insurance Service-National Sample Cohort; NHIS-NSC) and in Europeans (Rotterdam Study). A total of 412,030 adults in the NHIS-HEALS; 178,875 adults in the NHIS-NSC; and the 4,296 adults in Rotterdam Study were included.RESULTS: Mean ages was 52 years (46% women) and there were 25,777 events (6.3%) in NHIS-HEALS during the follow-up. In internal validation, the DL approach demonstrated a C-statistic of 0.896 (95% confidence interval, 0.886–0.907) in men and 0.921 (0.908–0.934) in women and improved reclassification compared with Cox regression (net reclassification index [NRI], 24.8% in men, 29.0% in women). In external validation with NHIS-NSC, DL demonstrated a C-statistic of 0.868 (0.860–0.876) in men and 0.889 (0.876–0.898) in women, and improved reclassification compared with Cox regression (NRI, 24.9% in men, 26.2% in women). In external validation applied to the Rotterdam Study, DL demonstrated a C-statistic of 0.860 (0.824–0.897) in men and 0.867 (0.830–0.903) in women, and improved reclassification compared with Cox regression (NRI, 36.9% in men, 31.8% in women).CONCLUSIONS: A DL algorithm exhibited greater discriminative accuracy than Cox model approaches.TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02931500
Adult ; Artificial Intelligence ; Cardiovascular Diseases ; Cohort Studies ; Female ; Follow-Up Studies ; Humans ; Insurance, Health ; Learning ; Male ; Mass Screening ; National Health Programs

OBJECTIVES: Sleep disorders directly affect health-related quality of life, so it is of great significance to investigate the risk factors of sleep disorders and to actively intervene. This study aims to investigate the relationship between dietary patterns and associated factors and sleep disorders among the health screening populations in Changsha. METHODS: A cross-sectional study was carried out in 86 073 subjects aged 18-70 years old who underwent the health screening. The association between dietary patterns and sleep disorders was analyzed. The associated factors for sleep disorders were identified via by principal component analysis and classification tree model. RESULTS: The overall prevalence of reporting sleep disorders was 18.64%. Four major dietary patterns (healthy, snacks, whole-grain, and fried food patterns) were identified. In logistic regression, snacks and fried food patterns had higher risk of sleep disorders. The whole-grain pattern was a protective factor for sleep disorders. Nine associated factors including age, susceptibility to anxiety, snacking parterns, feelings of depression, chronic pain, physical activity, educational level, gender, and weight, and 9 groups at high risk for sleep disorders were identified by classification tree model. CONCLUSIONS Sleep disorders are prevalent in the health screening population of Changsha. There is a close association between snacks dietary patterns and sleep disorders. It is necessary to promote healthy and reasonable diet, and keep good lifestyle for the prevention and control of sleep disorders. Health management after physical examination should take different health interventions for high-risk groups with different characteristics of sleep disorders.
Adolescent ; Adult ; Aged ; Cross-Sectional Studies ; Diet ; Feeding Behavior ; Health ; Humans ; Mass Screening ; Middle Aged ; Quality of Life ; Sleep Wake Disorders/epidemiology* ; Young Adult

The aim of this study is to analyze the current status and performance evaluation systems of faculty in Korean medical colleges and professional graduate medical schools (called medical schools). We developed a research tool based on previous studies and distributed it to 40 medical schools from July to October 2017. The response rate was 100%. We calculated the number of faculty members and analyzed the faculty evaluation systems and awareness according to national and private medical schools. As of 2017, the number of medical faculty in Korea was 11,111 (4,973 faculty were employed by their alma mater, which is 44.76% of the total), with non-medical doctor faculty accounting for 754 of the total. The medical schools reflect research achievements as most important for re-appointment and screening to promote faculty, and the area of education is secondary excepting clinical faculty of private medical schools. However, important issues in the faculty evaluation deal with the relevance of research achievement and the need for qualitative assessment. Some medical schools revised or have been revising the faculty evaluation system in areas such as minimum standards of education for promotion and separation of promotion and tenure review. Opening non-tenure track lines for faculty show positive effects such as increasing the number of positions for hire and easing the financial burdens of medical schools. Downfalls include inconsistencies between the responsibilities and actual practices of tenure not being available and the instability of faculty's status. In conclusion, medical schools need to prepare a faculty evaluation system that fits the position of faculty members and attempt to establish a reasonable compensation system.
Compensation and Redress ; Education ; Faculty, Medical ; Health Personnel ; Humans ; Korea ; Mass Screening ; Reward ; Schools, Medical ; Social Responsibility

BACKGROUND: Although routine screening of carcinoembryonic antigen (CEA) is not recommended for the early diagnosis of colorectal cancers, CEA levels are frequently measured in practice and during opportunistic health screening programs. We evaluated the frequency of false-positive results according to CEA level at a health screening center. METHODS: The medical records of 25,786 participants who underwent a general health check-up and CEA testing at the Seoul National University Hospital Healthcare System Gangnam Center from March 2015 to February 2016 were reviewed. CEA levels were measured using the Architect i2000sr (Abbott Laboratories, USA). The cut-off level for elevated CEA was 5.0 ng/mL. RESULTS: Among 25,786 participants who underwent CEA screening, 597 (2.3%) had CEA levels >5.0 ng/mL. Among 597 participants with elevated CEA levels, 12 (2.0%) had actual malignancies with CEA levels of 8.3–155.3 ng/mL. Diabetes, smoking, chronic obstructive pulmonary disease, and colonic polyps were considered as causes of false elevation. The false-positive rates of CEA according to level were as follows: 5.1–10.0 ng/mL, 99.5%; 10.1–15.0 ng/mL, 87.2%; 15.1–20.0 ng/mL, 100.0%; >20.0 ng/mL, 33.3%. A subsequent decrease in the CEA level after a 1-month follow-up was observed in 47.6% of all cases with elevated CEA levels. CONCLUSIONS: False elevation in CEA levels in the range of 5.0–20.0 ng/mL is common in patients who underwent testing at a health screening center. False-positive results above 20.0 ng/mL are less common. These data could provide a guide for the interpretation of elevated CEA level at a health screening center.
Biomarkers ; Carcinoembryonic Antigen ; Colonic Polyps ; Colorectal Neoplasms ; Delivery of Health Care ; Early Diagnosis ; Follow-Up Studies ; Humans ; Mass Screening ; Medical Records ; Pulmonary Disease, Chronic Obstructive ; Seoul ; Smoke ; Smoking