US Trends of Opioid-use Disorders and Associated Factors Among Hospitalized Patients With Spinal Conditions and Treatment From 2005 to 2014.

STUDY DESIGN: Serial cross-sectional study utilizing the National Inpatient Sample (NIS) 2005 to 2014. OBJECTIVE: The aim of this study was to examine the trends of opioid-use disorders among hospitalized patients with spinal conditions and treatment and to identify its contributing factors. SUMMARY OF BACKGROUND DATA: The opioid is widely used in chronic spinal conditions, and misuse of prescriptions is the main culprit of the opioid crisis. Cannabis, the most commonly utilized illicit drug, has recently been substituted for opioid despite increasing cannabis-use emergency room visits. There is limited information on opioid-use disorders, the association with cannabis, and other contributing factors. METHODS: We analyzed the 2005 to 2014 NIS data that identified opioid-use disorders among hospitalized patients with cervical and lumbar spinal conditions and treatment using the International Classification of Disease, Ninth Revision-Clinical Modification codes for opioid abuse, dependence, poisoning, and cervical and lumbar spinal diseases and procedures. The compound annual growth rate (CAGR) was used to quantify trends of opioid-use disorders among hospitalized patients. Multilevel and multivariable regression analyses were performed to determine their contributing factors. RESULTS: The number of hospitalizations with spinal conditions and treatment increased from 2005 to 2011, then decreased between 2011 and 2014 with an overall decrease in length of stay, resulting in the CAGR of -1.60% (P < .001). Almost 3% (2.93%, n = 557,423) of hospitalized patients with spinal conditions and treatment were diagnosed as opioid-use disorders and its CAGR was 6.47% (P < .0001). Opioid-use disorders were associated with cannabis-use disorders (odds ratio 1.714), substance use, mental health condition, younger age, white race, male sex, higher household income, and public insurance or uninsured. CONCLUSION: This study suggests that opioid-use disorders are increasing among hospitalized patients with spinal conditions and treatment and associated with several demographic, and socioeconomic factors, including cannabis-use disorders. LEVEL OF EVIDENCE: 3.

Does Diabetes Increase the Risk of Contracting COVID-19? A Population-Based Study in Korea.

BACKGROUND: This study aimed to determine the infection risk of coronavirus disease 2019 (COVID-19) in patients with diabetes (according to treatment method). METHODS: Claimed subjects to the Korean National Health Insurance claims database diagnosed with COVID-19 were included. Ten thousand sixty-nine patients with COVID-19 between January 28 and April 5, 2020, were included. Stratified random sampling of 1:5 was used to select the control group of COVID-19 patients. In total 50,587 subjects were selected as the control group. After deleting the missing values, 60,656 subjects were included. RESULTS: Adjusted odds ratio (OR) indicated that diabetic insulin users had a higher risk of COVID-19 than subjects without diabetes (OR, 1.25; 95% confidence interval [CI], 1.03 to 1.53; P=0.0278). In the subgroup analysis, infection risk was higher among diabetes male insulin users (OR, 1.42; 95% CI, 1.07 to 1.89), those between 40 and 59 years (OR, 1.66; 95% CI, 1.13 to 2.44). The infection risk was higher in diabetic insulin users with 2 to 4 years of morbidity (OR, 1.744; 95% CI, 1.003 to 3.044). CONCLUSION: Some diabetic patients with certain conditions would be associated with a higher risk of acquiring COVID-19, highlighting their need for special attention. Efforts are warranted to ensure that diabetic patients have minimal exposure to the virus. It is important to establish proactive care and screening tests for diabetic patients suspected with COVID-19 for timely disease diagnosis and management.

Dissociation between the growing opioid demands and drug policy directions among the U.S. older adults with degenerative joint diseases.

We aim to examine temporal trends of orthopedic operations and opioid-related hospital stays among seniors in the nation and states of Oregon and Washington where marijuana legalization was accepted earlier than any others.As aging society advances in the United States (U.S.), orthopedic operations and opioid-related hospital stays among seniors increase in the nation.A serial cross-sectional cohort study using the healthcare cost and utilization project fast stats from 2006 through 2015 measured annual rate per 100,000 populations of orthopedic operations by age groups (45-64 vs 65 and older) as well as annual rate per 100,000 populations of opioid-related hospital stays among 65 and older in the nation, Oregon and Washington states from 2008 through 2017. Orthopedic operations (knee arthroplasty, total or partial hip replacement, spinal fusion or laminectomy) and opioid-related hospital stays were measured. The compound annual growth rate (CAGR) was used to quantify temporal trends of orthopedic operations by age groups as well as opioid-related hospital stays and was tested by Rao-Scott correction of χ for categorical variables.The CAGR (4.06%) of orthopedic operations among age 65 and older increased (P < .001) unlike the unchanged rate among age 45 to 64. The CAGRs of opioid-related hospital stays among age 65 and older were upward trends among seniors in general (6.79%) and in Oregon (10.32%) and Washington (15.48%) in particular (all P < .001).Orthopedic operations and opioid-related hospital stays among seniors increased over time in the U.S. Marijuana legalization might have played a role of gateway drug to opioid among seniors.

Association between Continuity of Care and the Onset of Thyroid Disorder among Diabetes Patients in Korea.

Objectives: As the relationship between diabetes mellitus and thyroid dysfunction is well known, it is important to investigate the factors influencing this association. Continuity of care is associated with better quality of care and outcomes, such as reduced complications, among diabetes patients. Therefore, the purpose of this study was to investigate the association between continuity of care and the onset of thyroid dysfunction among diabetes patients. Methods: We used Korean National Health Insurance Service National Sample Cohort data from 2002 to 2013. Our final study population included 16,806 newly diagnosed diabetes patients who were older than 45 years of age. Continuity of care was measured using the Continuity of Care index. The dependent variable was the onset of thyroid disorder. Cox proportional hazard regression models were used for statistical analyses. Results: Diabetes patients with low continuity of care were at increased risk of the onset of thyroid disorder compared with those with high continuity of care (hazard ratio (HR): 1.28, 95% confidence interval (CI): 1.07⁻1.54). Subgroup analyses showed that this association was significant within patients with type 2 diabetes (HR: 1.24, 95% CI: 1.01⁻1.52) or whose main attending site was a local clinic (HR: 1.32, 95% CI: 1.07⁻1.64). Conclusions: Our results show that diabetes patients with low continuity of care are more likely to experience the onset of thyroid disorder. Therefore, improving continuity of care could be a reasonable method of preventing complications or comorbidities, including thyroid disorder, among diabetes patients.

Disparities in avoidable hospitalization by income in South Korea: data from the National Health Insurance cohort.

Avoidable hospitalizations can act as an indicator for primary health care quality, in particular ambulatory care sensitive conditions (ACSCs) as hospitalizations for these conditions are generally considered avoidable through successful management. This study aimed to examine whether differences exist between income levels in rates of avoidable hospitalization.The South Korea National Health Insurance claims data from 2002 to 2013 were used. All hospitalizations were included and categorized into avoidable and non-avoidable cases. The independent variable was income level classified into quartiles and the dependent variable rates of avoidable hospitalization. Analysis was conducted using the generalized estimating equation (GEE) Poisson model. Subgroup analysis was performed based on chronic versus acute disease status and urban versus rural region. RESULTS: A total of 1 310 492 cases were included, in which the crude rate of avoidable hospitalizations was 1444.5 per 100 000 person years. Compared to the Q4 highest income group set as reference, the Q3 (RR 1.07, 95% CI 1.04-1.09), Q2 (RR 1.16, 95% CI 1.13-1.19) and Q1 (RR 1.20, 95% CI 1.17-1.24) income groups showed higher rates of avoidable hospitalizations. CONCLUSION: Risks of avoidable hospitalizations for ACSCs was higher in lower than higher income groups, implying that socioeconomic status is related to disparities in avoidable hospitalizations. The findings suggest the importance of monitoring the vulnerable groups identified in managing avoidable hospitalizations.

Deregulation of sale of over-the-counter drugs outside of pharmacies in the Republic of Korea: interrupted-time-series analysis of outpatient visits before and after the policy.

BACKGROUND: We evaluated the effectiveness of a policy allowing for the sale of over-the-counter drugs outside of pharmacies by examining its effect on number of monthly outpatient visits for acute upper respiratory infections, dyspepsia, and migraine. METHOD: We used medical claims data extracted from the Korean National Health Insurance Cohort Database from 2009 to 2013. The Korean National Health Insurance Cohort Database comprises a nationally representative sample of claims - about 2% of the entire population - obtained from the medical record data held by the Korean National Health Insurance Corporation (which has data on the entire nation). The analysis included26,284,706 person-months of 1,042,728 individuals. An interrupted-time series analysis was performed. Outcome measures were monthly outpatient visits for acute upper respiratory infections, dyspepsia, and migraine. To investigate the effect of the policy, we compared the number of monthly visits before and after the policy's implementation in 2012. RESULT: For acute upper respiratory infections, monthly outpatient visits showed a decreasing trend before the policy (ß = -0.0003);after it, a prompt change and increasing trend in monthly outpatient visits were observed, but these were non-significant. For dyspepsia, the trend was increasing before implementation (ß = -0.0101), but this reversed after implementation(ß = -0.007). For migraine, an increasing trend was observed before the policy (ß = 0.0057). After it, we observed a significant prompt change (ß = -0.0314) but no significant trend. CONCLUSION: Deregulation of selling over-the-counter medication outside of pharmacies reduced monthly outpatient visits for dyspepsia and migraine symptoms, but not acute upper respiratory infections.

Mortality in Schizophrenia and Other Psychoses: Data from the South Korea National Health Insurance Cohort, 2002-2013.

Individuals with psychoses show excess mortality, which is a major public health concern. This study examined all-cause and suicide mortality rates in Korean patients diagnosed with schizophrenia, mood disorder, or mental and behavioral disorder due to psychoactive substance use and to compare this with that of the general population. Data were from the National Health Insurance cohort, 2002 to 2013. A total of 107,190 cases aged 15 years or over were included. Mortality rates per 100,000 person years (PY) were obtained. Poisson regression modelling was conducted to quantify the effect of baseline characteristics on all-cause and suicide mortality risks. Standardized mortality ratios (SMRs) were also calculated. All-cause mortality was the highest among mental and behavioral disorder patients (1,051.0 per 100,000 PY), followed by schizophrenia (949.1 per 100,000 PY) and mood disorder patients (559.5 per 100,000 PY). Highest suicide mortality was found in schizophrenia (177.2 per 100,000 PY), mental and behavioral disorder (143.7 per 100,000 PY), and mood disorder patients (59.7 per 100,000 PY). The rate ratios (RRs) for all-cause and suicide mortality were reduced for younger populations and women. Psychoses patients had higher all-cause (schizophrenia, SMR 2.4; 95% confidence interval [CI] 2.2-2.5; mood disorder, SMR 1.4; 95% CI 1.3-1.5; mental and behavioral disorder, SMR 2.6; 95% CI 2.5-2.8) and suicide (schizophrenia, SMR 8.4; 95% CI 7.2-9.6; mood disorder, SMR 2.8; 95% CI 2.1-3.5; mental and behavioral disorder, SMR 6.8; 95% CI 5.7-7.9) mortality rates than the general population. These findings infer that efforts should be made to reduce excess mortality in psychoses.

Sleep disorders and risk of hospitalization in patients with mood disorders: Analysis of the National Sample Cohort over 10 years.

Medical utilization due to organic sleep disorders has increased remarkably in South Korea, which may contribute to the deterioration of mental health in the population. We analyzed the relationship between organic sleep disorders and risk of hospitalization due to mood disorder. We used data from the National Health Insurance Service (NHIS) National Sample Cohort 2002-2013, which included medical claims filed for the 15,537 patients who were newly diagnosed with a mood disorder in a metropolitan region, and employed Poisson regression analysis using generalized estimating equation (GEE) models. By the results, there was a 0.53% hospital admission rate among 244,257 patients with outpatient care visits. Patients previously diagnosed with an organic sleep disorder before specific outpatient care had a higher risk for hospitalization. Such associations were significant in females, patients with a longer duration of disease, or those who lived in the largest cities. In conclusion, considering that experiencing a sleep disorder by a patient with an existing mood disorder was associated with deterioration of their status, health policy makers need to consider insurance coverage for all types of sleep disorders in patients with psychological conditions.