AIM: To compare the skin diseases prompting biopsy before and during the COVID-19 pandemic.
MATERIALS AND METHODS: A retrospective study of skin diseases was performed; the skin problems were then grouped into major histopathological reactions.
RESULTS: A total of 229 biopsies were performed before the COVID-19 outbreak, whereas only 160 biopsies were done during the pandemic. Before versus during the outbreak, the proportion of major reactions were granulomatous 20.52% vs 21.88%, neoplasms 17.47% vs 20%, psoriasiform 14.85% vs 10%, vesiculobullous 9.61% vs 8.75%, others 10.92% vs 7.50%, interface dermatitis 6.99% vs 10%, vasculopathy 6.99% vs 5.63%, spongiotic 6.55% vs 8.13%, panniculitis 3.49% vs 3.75%, and superficial and deep dermal infiltrate 2.62% vs 4.38%.
CONCLUSION: A decreased total number of patients prompting less biopsies were reported during the COVID-19 outbreak. However, the three largest percentages of major histopathological reactions were still similar, namely granulomatous, neoplasms, and psoriasiform.
METHODS: This study employs a quantitative method by way of a cross-sectional approach. The 2018 JKN claims data, drawn from a 1% sample that JKN annually produces, were analyzed. Nine hundred forty-five HIV patients out of 1,971,744 members were identified in the data sample and their claims record data at primary care and hospital levels were analyzed. Using ICD (International Statistical Classification of Diseases and Related Health Problems), 10 codes (i.e., B20, B21, B22, B23, and B24) that fall within the categories of HIV-related disease. For each level, patterns of service utilization by patient-health status, discharge status, severity level, and total cost per claim were analyzed.
RESULTS: Most HIV patients (81%) who first seek care at the primary-care level are referred to hospitals. 72.5% of the HIV patients receive antiretroviral treatment (ART) through JKN; 22% at the primary care level; and 78% at hospitals. The referral rate from public primary-care facilities was almost double (45%) that of private providers (24%). The most common referral destination was higher-level hospitals: Class B 48%, and Class C 25%, followed by the lowest Class A at 3%. Because JKN pays hospitals for each inpatient admission, it was possible to estimate the cost of hospital care. Extrapolating the sample of hospital cases to the national level using the available weight score, it was estimated that JKN paid IDR 444 billion a year for HIV hospital services and a portion of capitation payment.
CONCLUSION: There was an underrepresentation of PLHIV (People Living with HIV) who had been covered by JKN as 25% of the total PLHIV on ART were able to attain access through other schemes. This study finding is principally aligned with other local research findings regarding a portion of PLHIV access and the preferred delivery channel. Moreover, the issue behind the underutilization of National Health Insurance services in Indonesia among PLHIV is similar to what was experienced in Vietnam in 2015. The 2015 Vietnam study showed that negative perception, the experience of using social health insurance as well as inaccurate information, may lead to the underutilization problem (Vietnam-Administration-HIV/AIDSControl, Social health insurance and people living with HIV in Vietnam: an assessment of enrollment in and use of social health insurance for the care and treatment of people living with HIV, 2015). Furthermore, the current research finding shows that 99% of the total estimated HIV expenditure occurred at the hospital. This indicates a potential inefficiency in the service delivery scheme that needs to be decentralized to a primary-care facility.
METHODOLOGY/PRINCIPAL FINDINGS: A total of 439 records of P. knowlesi infections in humans, macaque reservoir and vector species were collated. To predict spatial variation in disease risk, a model was fitted using records from countries where the infection data coverage is high. Predictions were then made throughout Southeast Asia, including regions where infection data are sparse. The resulting map predicts areas of high risk for P. knowlesi infection in a number of countries that are forecast to be malaria-free by 2025 (Malaysia, Cambodia, Thailand and Vietnam) as well as countries projected to be eliminating malaria (Myanmar, Laos, Indonesia and the Philippines).
CONCLUSIONS/SIGNIFICANCE: We have produced the first map of P. knowlesi malaria risk, at a fine-scale resolution, to identify priority areas for surveillance based on regions with sparse data and high estimated risk. Our map provides an initial evidence base to better understand the spatial distribution of this disease and its potential wider contribution to malaria incidence. Considering malaria elimination goals, areas for prioritised surveillance are identified.
OBJECTIVE: To investigate the association between severe anxiety disorder and other factors with COVID-19 disease severity.
METHODS: This was cross-sectional study during March - November 2020. The diagnosis of SARS-CoV-2 was done by using RT-PCR from throat swabs, based on WHO's interim guidelines. AD was measured using self-reporting Generalized Anxiety Disorder-7 (GAD-7). All participants underwent, history taking, physical examinations, blood routine examination and chest radiography. Association between severe AD and other factors with COVID-19 disease severity were analyzed. Chi-square test (bivariate) and Logistic regression (multivariate) with the precision value of 95% was done and p-value less than 5% was considered significant.
RESULTS: Positive rate of Covid-19 patients was 43% (292 / 678). Among those 292 with Covid-19, 74 (25.3%) participants had severe disease. Multivariate analysis showed severe anxiety (OR 696.11; 95%CI: 78.54 to 6169.98; p<0.001), hypertension (OR 37.02; 95%CI: 4.49 to 305.39; p=0.001) and neutrophyl lymphocyte ratio (NLR) less than 2.89 (OR 0.15; 95%CI: 0.04 to 0.62; p=0.009).
CONCLUSION: Severe anxiety, hypertension and NLR less than 2.89 are potential independent risk factors for severe infection of SARS-CoV-2 (COVID-19).
METHOD: This study recruited Sundanese from Tasikmalaya and Minahasan from Manado using the Indonesian Public Attitudes Toward Epilepsy (PATE) scale. The results were compared to the Javanese and Malaysian data in previous studies.
RESULT: A total of 200 respondents, 100 from each ethnic group were recruited, with a mean age of 38.51 years. They were predominantly females (54%) and had secondary education level or lower (56.67%). The Javanese had a higher total mean score, indicating poorer attitudes toward epilepsy, as compared to the Minahasan and Sundanese groups. These differences were noted in the personal domain, but not the general domain. There were no significant differences in the mean scores in both personal and general domains between the Minahasan, Sundanese, and Malaysian populations. Subanalysis on the aspects of life showed that the Javanese had a significantly higher score in the aspects of education, marital relationship, and employment.
CONCLUSION: The attitudes toward epilepsy were similar between the Indonesian (Sundanese and the Minahasan) and Malaysian, except the Javanese with poorer attitude. These differences could be socioeconomically or culturally related.
METHODS: Data were derived from 360 inpatient medical records from six types C public and private hospitals in an Indonesian rural province. These data were accumulated from inpatient medical records from four major disciplines: medicine, surgery, obstetrics and gynecology, and pediatrics. The dependent variable was provider moral hazards, which included indicators of up-coding, readmission, and unnecessary admission. The independent variables are Physicians' characteristics (age, gender, and specialization), coders' characteristics (age, gender, education level, number of training, and length of service), and patients' characteristics (age, birth weight, length of stay, the discharge status, and the severity of patient's illness). We use logistic regression to investigate the determinants of moral hazard.
RESULTS: We found that the incidences of possible unnecessary admissions, up-coding, and readmissions were 17.8%, 11.9%, and 2.8%, respectively. Senior physicians, medical specialists, coders with shorter lengths of service, and patients with longer lengths of stay had a significant relationship with the incidence of moral hazard.
CONCLUSION: Unnecessary admission is the most common form of a provider's moral hazard. The characteristics of physicians and coders significantly contribute to the incidence of moral hazard. Hospitals should implement reward and punishment systems for doctors and coders in order to control moral hazards among the providers.