Burden and Treatment of Chronic Upper GI Symptoms and Diagnoses: A Nationwide Study.

BACKGROUND & AIMS: Chronic gastrointestinal (GI) symptoms are a common reason for seeking medical care. We aim to determine the rates of ambulatory care use and to characterize demographics, work-up, and treatment (pharmacologic and nonpharmacologic) for patients with chronic upper GI symptoms and conditions in the United States. METHODS: Estimates of annual visits for the most common upper GI symptoms and diagnoses including gastroesophageal reflux disease, dyspepsia, nausea and vomiting, and gastroparesis were recorded from the 2007-2015 National Ambulatory Medical Care Surveys. Only chronic conditions, defined as >3 months, were included. We calculated the weighted proportion of ambulatory visits associated with pharmacologic, nonpharmacologic treatment (eg, diet, complementary and alternative medicine), or both. RESULTS: A total of 116,184,475 weighted ambulatory visits were identified between the years of 2007 and 2015 for adults (average of 12,909,386 annual visits) with chronic upper GI symptoms and diagnoses. Gastroesophageal reflux disease was the most common reason for an ambulatory visit (n = 11,200,193), followed by dyspepsia (n = 1,232,598), nausea and vomiting (n = 714,834), and gastroparesis (n = 140,312). Pharmacologic treatment was more common than nonpharmacologic treatment (44.7% vs 28.5%). A total of 37.6% of patients were not receiving treatment at the time of the visit. These treatment patterns did not significantly change over the time of our study. Upper endoscopies were the most ordered test, representing 7.5% of all investigated upper GI symptoms. CONCLUSIONS: Chronic upper GI symptoms and diagnoses account for a high number of annual health care visits, both in primary care and specialty care. Although there are several treatments, many of these patients are not on any treatments.

Rebooting the ambulatory enterprise in a community medical group in Kentucky following the initial surge of COVID-19.

ABSTRACT: The novel coronavirus disease 2019 (COVID-19) pandemic has intensified globally since its origin in Wuhan, China in December 2019. Many medical groups across the United States have experienced extraordinary clinical and financial pressures due to COVID-19 as a result of a decline in elective inpatient and outpatient surgical procedures and most nonurgent elective physician visits. The current study reports how our medical group in a metropolitan community in Kentucky rebooted our ambulatory and inpatient services following the guidance of our state's phased reopening. Particular attention focused on the transition between the initial COVID-19 surge and post-COVID-19 surge and how our medical group responded to meet community needs. Ten strategies were incorporated in our medical group, including heightened communication; ambulatory telehealth; safe and clean outpatient environment; marketing; physician, other medical provider, and staff compensation; high quality patient experience; schedule optimization; rescheduling tactics; data management; and primary care versus specialty approaches. These methods are applicable to both the current rebooting stage as well as to a potential resurgence of COVID-19 in the future.

Treatment and Follow-up Care Associated With Patient-Scheduled Primary Care Telemedicine and In-Person Visits in a Large Integrated Health System.

Importance: Telemedicine visits can offer patients convenient access to a clinician, but it is unclear whether treatment differs from that with in-person visits or how often patients require in-person follow-up. Objective: To examine whether physician prescribing and orders differ between telemedicine and office visits, whether physicians conducting telemedicine visits are more likely to require in-person follow-up, and whether telemedicine visits are associated with more health events. Design, Setting, and Participants: This cohort study included all patients who scheduled primary care appointments through the patient portal of a large integrated health care delivery system newly implementing patient-scheduled video telemedicine visits from January 2016 to May 2018. Main Outcomes and Measures: Adjusted rates of any medication prescribed or laboratory tests or imaging ordered and rates of follow-up health care utilization (in-person visits, emergency department visits, and hospitalizations) within 7 days after the index visit, stratified by index primary care visit type, were generated using multivariable adjustment for patient, access, and clinical characteristics. Results: This study included 1 131 722 patients (611 821 [54%] female; mean [SD] age, 43 [22] years) with 2 178 440 total appointments (307 888 [14%] telemedicine), of which 13.5% were for patients younger than 18 years, 22.2% were for patients 65 years or older, and 54.9% were for female patients. After adjustment, 38.6% (95% CI, 38.0%-39.3%) of video visits, 34.7% (95% CI, 34.5%-34.9%) of telephone visits, and 51.9% (95% CI, 51.8%-52.0%) of office visits had any medication prescribed; laboratory tests or imaging were ordered for 29.2% (95% CI, 28.5%-29.8%) of video visits, 27.3% (95% CI, 27.1%-27.5%) of telephone visits, and 59.3% (95% CI, 59.3%-59.4%) of clinic visits. After adjustment, follow-up visits within 7 days occurred after 25.4% (95% CI, 24.7%-26.0%) of video visits, 26.0% (95% CI, 25.9%-26.2%) of telephone visits, and 24.5% (95% CI, 24.5%-24.6%) of office visits. Adjusted emergency department visits and rates of hospitalizations were not statistically significantly different by primary care index visit type. Conclusions and Relevance: In this cohort study of patient self-scheduled primary care telemedicine visits within ongoing patient-physician relationships, prescribing and orders were significantly lower for telemedicine visits than for clinic visits, with slightly higher follow-up office visits for telemedicine but no difference in health events (emergency department visits or hospitalizations). Video or telephone visits may be a convenient and efficient way to access primary care and address patient needs.

Mapping the Location of Health Centers in Relation to "Maternity Care Deserts": Associations With Utilization of Women's Health Providers and Services.

BACKGROUND AND OBJECTIVES: The aim was to explore the association between community health centers' (CHC) distance to a "maternity care desert" (MCD) and utilization of maternity-related health care services, controlling for CHC and county-level factors. MEASURES: Utilization as: total number of CHC visits to obstetrician-gynecologists, certified nurse midwives, family physicians (FP), and nurse practitioners (NP); total number of prenatal care visits and deliveries performed by CHC staff. RESEARCH DESIGN: Cross-sectional design comparing utilization between CHCs close to MCDs and those that were not, using linked 2017 data from the Uniform Data System (UDS), American Hospital Association Survey, and Area Health Resource Files. On the basis of prior research, CHCs close to a "desert" were hypothesized to provide higher numbers of FP and NP visits than obstetrician-gynecologists and certified nurse midwives visits. The sample included 1261 CHCs and all counties in the United States and Puerto Rico (n=3234). RESULTS: Results confirm the hypothesis regarding NP visits but are mixed for FP visits. CHCs close to "deserts" had more NP visits than those that were not. There was also a dose-response effect by MCD classification, with NP visits 3 times higher at CHCs located near areas without any outpatient and inpatient access to maternity care. CONCLUSIONS: CHCs located closer to "deserts" and NPs working at these comprehensive, primary care clinics have an important role to play in providing access to maternity care. More research is needed to determine how best to target resources to these limited access areas.

Impact of the COVID-19 pandemic situation on HIV care in Liège, Belgium.

BACKGROUND: Background: The COVID-19 pandemic and associated containment measures dramatically affected the health care systems including the screening of human immunodeficiency virus and the management people living with HIV around the world by making the access to preventive care services and specific medical monitoring more difficult. OBJECTIVE: Objective: To study the impact of the COVID-19 pandemic on the holistic care of people living with HIV in Liège (Belgium). METHODS: Methods: In this retrospective observational study conducted in Liège University Hospital, we compared the out-patient follow-up of HIV-infected individuals as well as the number of new HIV diagnoses between 2019 and 2020 and between the different waves of the COVID-19 pandemic in 2020. RESULTS: Results: In 2020, when compared to 2019, we observed a significant decrease in the number of new HIV diagnoses, especially during the first wave of the pandemic, and in the number of consultations undertaken by sexual health services, psychologists and specialists in infectious diseases at our HIV clinic. We also observed a decrease in the number of viral load assays and blood CD4 + T-cells count analyses performed, although we found less patients with HIV plasma viral load above 400 copies per mL in 2020. Finally, we noted a significant reduction in terms of screening of our HIV-infected patients for hepatitis C, syphilis, colorectal and anal cancers and hypercholesterolemia. CONCLUSIONS: Conclusions: Our experience exhibits the deleterious impact of the COVID-19 pandemic on the HIV care and the need to implement new strategies to guarantee its continuum.

Hospital-at-Home Interventions vs In-Hospital Stay for Patients With Chronic Disease Who Present to the Emergency Department: A Systematic Review and Meta-analysis.

Importance: Hospitalizations are costly and may lead to adverse events; hospital-at-home interventions could be a substitute for in-hospital stays, particularly for patients with chronic diseases who use health services more than other patients. Despite showing promising results, heterogeneity in past systematic reviews remains high. Objective: To systematically review and assess the association between patient outcomes and hospital-at-home interventions as a substitute for in-hospital stay for community-dwelling patients with a chronic disease who present to the emergency department and are offered at least 1 home visit from a nurse and/or physician. Data Sources: Databases were searched from date of inception to March 4, 2019. The databases were Ovid MEDLINE, Ovid Embase, Ovid PsycINFO, CINAHL, Health Technology Assessment, the Cochrane Library, OVID Allied and Complementary Medicine Database, the World Health Organization International Clinical Trials Registry Platform, and ClinicalTrials.gov. Study Selection: Randomized clinical trials in which the experimental group received hospital-at-home interventions and the control group received the usual in-hospital care. Patients were 18 years or older with a chronic disease who presented to the emergency department and received home visits from a nurse or physician. Data Extraction and Synthesis: Risk of bias was assessed, and a meta-analysis was conducted for outcomes that were reported by at least 2 studies using comparable measures. Risk ratios (RRs) were reported for binary outcomes and mean differences for continuous outcomes. Narrative synthesis was performed for other outcomes. Main Outcomes and Measures: Outcomes of interest were patient outcomes, which included mortality, long-term care admission, readmission, length of treatment, out-of-pocket costs, depression and anxiety, quality of life, patient satisfaction, caregiver stress, cognitive status, nutrition, morbidity due to hospitalization, functional status, and neurological deficits. Results: Nine studies were included, providing data on 959 participants (median age, 71.0 years [interquartile range, 70.0-79.9 years]; 613 men [63.9%]; 346 women [36.1%]). Mortality did not differ between the hospital-at-home and the in-hospital care groups (RR, 0.84; 95% CI, 0.61-1.15; I2 = 0%). Risk of readmission was lower (RR, 0.74; 95% CI, 0.57-0.95; I2 = 31%) and length of treatment was longer in the hospital-at-home group than in the in-hospital group (mean difference, 5.45 days; 95% CI, 1.91-8.97 days; I2 = 87%). In addition, the hospital-at-home group had a lower risk of long-term care admission than the in-hospital care group (RR, 0.16; 95% CI, 0.03-0.74; I2 = 0%). Patients who received hospital-at-home interventions had lower depression and anxiety than those who remained in-hospital, but there was no difference in functional status. Other patient outcomes showed mixed results. Conclusions and Relevance: The results of this systematic review and meta-analysis suggest that hospital-at-home interventions represent a viable substitute to an in-hospital stay for patients with chronic diseases who present to the emergency department and who have at least 1 visit from a nurse or physician. Although the heterogeneity of the findings remained high for some outcomes, particularly for length of treatment, the heterogeneity of this study was comparable to that of past reviews and further explored.

Racial/Ethnic Disparities in the Performance of Prediction Models for Death by Suicide After Mental Health Visits.

Importance: Clinical prediction models estimated with health records data may perpetuate inequities. Objective: To evaluate racial/ethnic differences in the performance of statistical models that predict suicide. Design, Setting, and Participants: In this diagnostic/prognostic study, performed from January 1, 2009, to September 30, 2017, with follow-up through December 31, 2017, all outpatient mental health visits to 7 large integrated health care systems by patients 13 years or older were evaluated. Prediction models were estimated using logistic regression with LASSO variable selection and random forest in a training set that contained all visits from a 50% random sample of patients (6 984 184 visits). Performance was evaluated in the remaining 6 996 386 visits, including visits from White (4 031 135 visits), Hispanic (1 664 166 visits), Black (578 508 visits), Asian (313 011 visits), and American Indian/Alaskan Native (48 025 visits) patients and patients without race/ethnicity recorded (274 702 visits). Data analysis was performed from January 1, 2019, to February 1, 2021. Exposures: Demographic, diagnosis, prescription, and utilization variables and Patient Health Questionnaire 9 responses. Main Outcomes and Measures: Suicide death in the 90 days after a visit. Results: This study included 13 980 570 visits by 1 433 543 patients (64% female; mean [SD] age, 42 [18] years. A total of 768 suicide deaths were observed within 90 days after 3143 visits. Suicide rates were highest for visits by patients with no race/ethnicity recorded (n = 313 visits followed by suicide within 90 days, rate = 5.71 per 10 000 visits), followed by visits by Asian (n = 187 visits followed by suicide within 90 days, rate = 2.99 per 10 000 visits), White (n = 2134 visits followed by suicide within 90 days, rate = 2.65 per 10 000 visits), American Indian/Alaskan Native (n = 21 visits followed by suicide within 90 days, rate = 2.18 per 10 000 visits), Hispanic (n = 392 visits followed by suicide within 90 days, rate = 1.18 per 10 000 visits), and Black (n = 65 visits followed by suicide within 90 days, rate = 0.56 per 10 000 visits) patients. The area under the curve (AUC) and sensitivity of both models were high for White, Hispanic, and Asian patients and poor for Black and American Indian/Alaskan Native patients and patients without race/ethnicity recorded. For example, the AUC for the logistic regression model was 0.828 (95% CI, 0.815-0.840) for White patients compared with 0.640 (95% CI, 0.598-0.681) for patients with unrecorded race/ethnicity and 0.599 (95% CI, 0.513-0.686) for American Indian/Alaskan Native patients. Sensitivity at the 90th percentile was 62.2% (95% CI, 59.2%-65.0%) for White patients compared with 27.5% (95% CI, 21.0%-34.7%) for patients with unrecorded race/ethnicity and 10.0% (95% CI, 0%-23.0%) for Black patients. Results were similar for random forest models, with an AUC of 0.812 (95% CI, 0.800-0.826) for White patients compared with 0.676 (95% CI, 0.638-0.714) for patients with unrecorded race/ethnicity and 0.642 (95% CI, 0.579-0.710) for American Indian/Alaskan Native patients and sensitivities at the 90th percentile of 52.8% (95% CI, 50.0%-55.8%) for White patients, 29.3% (95% CI, 22.8%-36.5%) for patients with unrecorded race/ethnicity, and 6.7% (95% CI, 0%-16.7%) for Black patients. Conclusions and Relevance: These suicide prediction models may provide fewer benefits and more potential harms to American Indian/Alaskan Native or Black patients or those with undrecorded race/ethnicity compared with White, Hispanic, and Asian patients. Improving predictive performance in disadvantaged populations should be prioritized to improve, rather than exacerbate, health disparities.

Health Care Utilization and Clinical Characteristics of Nonhospitalized Adults in an Integrated Health Care System 28-180 Days After COVID-19 Diagnosis - Georgia, May 2020-March 2021.

As of April 19, 2021, 21.6 million COVID-19 cases had been reported among U.S. adults, most of whom had mild or moderate disease that did not require hospitalization (1). Health care needs in the months after COVID-19 diagnosis among nonhospitalized adults have not been well studied. To better understand longer-term health care utilization and clinical characteristics of nonhospitalized adults after COVID-19 diagnosis, CDC and Kaiser Permanente Georgia (KPGA) analyzed electronic health record (EHR) data from health care visits in the 28-180 days after a diagnosis of COVID-19 at an integrated health care system. Among 3,171 nonhospitalized adults who had COVID-19, 69% had one or more outpatient visits during the follow-up period of 28-180-days. Compared with patients without an outpatient visit, a higher percentage of those who did have an outpatient visit were aged ≥50 years, were women, were non-Hispanic Black, and had underlying health conditions. Among adults with outpatient visits, 68% had a visit for a new primary diagnosis, and 38% had a new specialist visit. Active COVID-19 diagnoses* (10%) and symptoms potentially related to COVID-19 (3%-7%) were among the top 20 new visit diagnoses; rates of visits for these diagnoses declined from 2-24 visits per 10,000 person-days 28-59 days after COVID-19 diagnosis to 1-4 visits per 10,000 person-days 120-180 days after diagnosis. The presence of diagnoses of COVID-19 and related symptoms in the 28-180 days following acute illness suggests that some nonhospitalized adults, including those with asymptomatic or mild acute illness, likely have continued health care needs months after diagnosis. Clinicians and health systems should be aware of post-COVID conditions among patients who are not initially hospitalized for acute COVID-19 disease.

National level data analysis of facial lacerations in Korea using the National Health Insurance Service (NHIS) database.

ABSTRACT: No national epidemiological investigations have been conducted recently regarding facial lacerations. The study was performed using the data of 3,634,229 people during the 5-year period from 2014 to 2018 archived by the National Health Information Database (NHID) of the Health Insurance Review and Assessment Service. Preschool and children under 10 years old accounted for about one-third of patients. Facial lacerations were concentrated in the "T-shaped" area, which comprised forehead, nose, lips, and the perioral area. The male to female ratio for all study subjects was 2.16:1. Age and gender are significantly related with each other (P < .001). Mean hospital stays decreased, and numbers of outpatient department visits per patient were highest for hospitals and lowest for health agencies. Over the study period, hospital costs per patient in tertiary and general hospitals increased gradually. Preschool and school-aged children are vulnerable to trauma. Male patients outnumbered female patients by a factor of more than 2. The "T-shaped'" area around forehead is vulnerable to injury. Total cost of medical care benefits per patient in tertiary hospitals was about 7 times on average than in health agencies. Regarding functional, behavioral, and aesthetic outcomes, more attention should be paid to epidemiologic data and hospital costs for facial lacerations.

The dynamics of patient visits to traditional Chinese medicine during the 2019 coronavirus pandemic.

BACKGROUND: Large-scale epidemics have changed people's medical behavior, and patients tend to delay non-urgent medical needs. However, the impact of the pandemic on the use of complementary and alternative medicine remains unknown. METHODS: This retrospective study aimed to analyze the changes in the number of traditional Chinese medicine (TCM) patients and examine the epidemic prevention policy during the coronavirus disease 2019 (COVID-19) pandemic. We analyzed the number of TCM patients in Taipei City Hospital from January 2017 to May 2020. We tallied the numbers of patients in each month and compared them with those in the same months last year. We calculated the percentage difference in the number of patients to reveal the impact of the COVID-19 pandemic on TCM utilization. We used the Mann-Whitney U test to examine whether there was a significant difference in the number of patients during the COVID-19 pandemic. RESULTS: We included a total of 1,935,827 TCM visits of patients from January 2017 to May 2020 in this study. During the COVID-19 pandemic, the number of patients decreased significantly, except in February 2020. The number of patients during the COVID-19 pandemic had fallen by more than 15% compared with those in the same months last year. March and April had the greatest number of patient losses, with falls of 32.8 and 40% respectively. TCM patients declined significantly during the COVID-19 pandemic, and mobile medicine provided to rural areas fell considerably. Among all the TCM specialties, pediatrics and traumatology, as well as infertility treatment, witnessed the most significant decline in the number of patients. However, the number of cancer patients has reportedly increased. CONCLUSIONS: The COVID-19 pandemic decreased the utilization rate of TCM, especially for mobile healthcare in rural areas. We suggest that the government pay attention to the medical disparity between urban and rural areas, which are affected by the pandemic, as well as allocate adequate resources in areas deprived of medical care.

Ambulatory care, insurance, and avoidable emergency department utilization in North Carolina.

OBJECTIVE: To examine whether and how avoidable emergency department (ED) utilization is associated with ambulatory or primary care (APC) utilization, insurance, and interaction effects. DESIGN AND SAMPLE: A cross-sectional analysis of electronic health records from 70,870 adults residing in Mecklenburg County, North Carolina, who visited an ED within a large integrated healthcare system in 2017. METHODS: APC utilization was measured as total visits, categorized as: 0, 1, and > 1. Insurance was defined as the method of payment for the ED visit as: Medicaid, Medicare, private, or uninsured. Avoidable ED utilization was quantified as a score (aED), calculated as the sum of New York University Algorithm probabilities multiplied by 100. Quantile regression models were used to predict the 25th, 50th, 75th, 95th, and 99th percentiles of avoidable ED scores with APC visits and insurance as predictors (Model 1) and with an interaction term (Model 2). RESULTS: Having >1 APC visit was negatively associated with aED at the lower percentiles and positively associated at higher percentiles. A higher aED was associated with having Medicaid insurance and a lower aED was associated with having private insurance, compared to being uninsured. In stratified models, having >1 APC visit was negatively associated with aED at the 25th percentile for the uninsured and privately insured, but positively associated with aED at higher percentiles among the uninsured, Medicaid-insured, and privately insured. CONCLUSIONS: The association between APC utilization and avoidable ED utilization varied based on segments of the distribution of ED score and differed significantly by insurance type.

Quality of Outpatient Depression Treatment in Patients With Comorbid Substance Use Disorder.

OBJECTIVE: Clinical practice guidelines recommend concurrent treatment of co-occurring depression and substance use disorders; however, the degree to which patients with substance use disorders receive guideline-concordant treatment for depression is unknown. The authors investigated the provision of guideline-concordant depression treatment to patients with and without substance use disorders in a large integrated health care system. METHODS: In a retrospective cohort study of 53,034 patients diagnosed with a depressive disorder in fiscal year 2017 in the U.S. Veterans Health Administration, the authors assessed the association of comorbid substance use disorders with guideline-concordant depression treatment, including both medication and psychotherapy, while adjusting for patient demographic and clinical characteristics. RESULTS: Guideline-concordant depression treatment was lower across metrics for patients with co-occurring depression and substance use disorders compared to those without substance use disorders. Consistent findings emerged in covariate-adjusted models of antidepressant treatment, such that patients with substance use disorders had 21% lower odds of guideline-concordant acute treatment (adjusted odds ratio=0.79, 95% CI=0.73, 0.84) and 26% lower odds of continuation of treatment (adjusted odds ratio=0.74, 95% CI=0.69, 0.79). With regard to psychotherapy, patients with co-occurring depression and substance use disorders had 13% lower odds (adjusted odds ratio=0.87, 95% CI=0.82, 0.91) of adequate acute-phase treatment and 19% lower odds (adjusted odds ratio=0.81; 95% CI=0.73, 0.89) of psychotherapy continuation. CONCLUSIONS: Despite the availability of effective treatments for depression, patients with co-occurring substance use disorders are less likely to receive guideline-concordant depression treatment. Efforts to improve the provision of care to those with co-occurring substance use disorders should focus on clinician-based interventions and use of integrated care models to improve the quality of depression treatment.

Polysubstance use and association with opioid use disorder treatment in the US Veterans Health Administration.

AIMS: To understand the role of comorbid substance use disorders (SUDs), or polysubstance use, in the treatment of opioid use disorder (OUD), this study compared patients with OUD only to those with additional SUDs and examined association with OUD treatment receipt. DESIGN, SETTING AND PARTICIPANTS: Retrospective national cohort study of Veterans diagnosed with OUD (n = 65 741) receiving care from the US Veterans Health Administration (VHA) in fiscal year (FY) 2017. MEASUREMENTS: Patient characteristics were compared among those diagnosed with OUD only versus those with one other SUD (OUD + 1 SUD) and with multiple SUDs (OUD + ≥ 2 SUDs). The study examined the relationship between comorbid SUDs and receipt of buprenorphine, methadone and SUD outpatient treatment during 1-year follow-up, adjusting for patient demographic characteristics and clinical conditions. FINDINGS: Among the 65 741 Veterans with OUD in FY 2017, 41.2% had OUD only, 22.9% had OUD + 1 SUD and 35.9% had OUD + ≥ 2 SUDs. Common comorbid SUDs included alcohol use disorder (41.3%), cocaine/stimulant use disorder (30.0%) and cannabis use disorder (22.4%). Adjusting for patient characteristics, patients with OUD + 1 SUD [adjusted odds ratio (aOR) = 0.87, 95% confidence interval (CI) = 0.82-0.93] and patients with OUD +≥ 2 SUDs (aOR = 0.65, 95% CI = 0.61-0.69) had lower odds of receiving buprenorphine compared with OUD only patients. There were also lower odds of receiving methadone for patients with OUD + 1 SUD (aOR = 0.91, 95% CI = 0.86-0.97)and for those with OUD + ≥2 SUDs (aOR = 0.79, 95% CI = 0.74-0.84). Patients with OUD + 1 SUD (aOR = 1.85, 95% CI = 1.77-1.93) and patients with OUD + ≥2 SUDs (aOR = 3.25, 95% CI = 3.103.41) were much more likely to have a SUD clinic visit. CONCLUSIONS: The majority of Veterans in the US Veterans Health Administration diagnosed with opioid use disorder appeared to have at least one comorbid substance use disorder and many have multiple substance use disorders. Despite the higher likelihood of a substance use disorder clinic visit, having a non-opioid substance use disorder is associated with lower likelihood of buprenorphine treatment, suggesting the importance of addressing polysubstance use within efforts to expand treatment for opioid use disorder.

Highly frequent utilization of outpatient services in a national health insurance system - analysis of associated factors and underlying co-morbidity.

OBJECTIVE: We aimed to identify associated factors of highly frequent use of outpatient services and explore how they were impacted to provide policy references for government and medical institutes in their efforts to seek provision of reasonable medical services, continuous care and integrated outpatient services. METHODS: The Taiwanese national health insurance database was used and 661,125 patients were identified in 2009. The patients with ≥100 internal medicine outpatient (IMO) visits were defined as the highly frequent group and they were matched at a ratio of 1:4 with patients of 1-99 IMO visits based on demographic characteristics. Multivariate logistic regression was used to estimate adjusted odds ratios with 95% confidence intervals. RESULTS: Among 1 million patients in the outpatient department, 0.05% had at least 100 visits. These patients with highly frequent IMO visits had significantly higher rates of emergency department (ED) visits, hospitalization, psychiatric disorders and possession of a catastrophic illness card as well as a significantly lower level of continuity of care index (COCI). Multivariate analysis showed that ED visits (adjusted OR [AOR] = 1.63), psychiatric disorders (AOR = 7.13), low COCI (AOR = 1.69), and several comorbidities including peripheral vascular diseases (AOR = 4.33), dementia (AOR = 0.04), chronic pulmonary disease (AOR = 3.02), peptic ulcer diseases (AOR = 3.70), diabetes mellitus (AOR = 3.45) and renal disease (AOR = 2.43) were significant associated factors. CONCLUSIONS: To rationalize use and distribution of medical resources, we suggest proper regular care and health education to those with mental disabilities and multiple chronic conditions, which may not only improve the situation of highly frequent hospital visits but also effectively control incidence of acute conditions and reduce their ED visits. In addition, improving the continuity of care is vital, and the best way to do this is to promote family medicine as the primary form of healthcare.

Disparities in outpatient visits for mental health and/or substance use disorders during the COVID surge and partial reopening in Massachusetts.

OBJECTIVE: To examine changes in outpatient visits for mental health and/or substance use disorders (MH/SUD) in an integrated healthcare organization during the initial Massachusetts COVID-19 surge and partial state reopening. METHODS: Observational study of outpatient MH/SUD visits January 1st-June 30th, 2018-2020 by: 1) visit diagnosis group, 2) provider type, 3) patient race/ethnicity, 4) insurance, and 5) visit method (telemedicine vs. in-person). RESULTS: Each year, January-June 52,907-73,184 patients were seen for a MH/SUD visit. While non-MH/SUD visits declined during the surge relative to 2020 pre-pandemic (-38.2%), MH/SUD visits increased (9.1%)-concentrated in primary care (35.3%) and non-Hispanic Whites (10.5%). During the surge, MH visit volume increased 11.7% while SUD decreased 12.7%. During partial reopening, while MH visits returned to 2020 pre-pandemic levels, SUD visits declined 31.1%; MH/SUD visits decreased by Hispanics (-33.0%) and non-Hispanic Blacks (-24.6%), and among Medicaid (-19.4%) and Medicare enrollees (-20.9%). Telemedicine accounted for ~5% of MH/SUD visits pre-pandemic and 83.3%-83.5% since the surge. CONCLUSIONS: MH/SUD visit volume increased during the COVID surge and was supported by rapidly-scaled telemedicine. Despite this, widening diagnostic and racial/ethnic disparities in MH/SUD visit volume during the surge and reopening suggest additional barriers for these vulnerable populations, and warrant continued monitoring and research.

Impacts of doctor-shopping behavior on diabetic patients' health: A retrospective longitudinal study in Taiwan.

The aim of this study was to clarify the relationship between doctor-shopping behavior and clinical conditions, and to clearly outline the effects of both the number of clinic visits and the number of doctor changes on patients' health conditions. Data from January 1, 2000 to December 31, 2004 was collected from the National Health Insurance Research Database in Taiwan. After randomly selecting one million people, we extracted 5-year longitudinal data, about the number of clinic visits, number of doctor changes, and changes in self-health status for each patient with diabetes over the age of 18. We developed a relationship among the variables by using the generalized estimating equation. The results revealed that the number of clinic visits on the change of health status is a U curve, suggesting that health condition could be optimal with an appropriate number of clinic visits. The effect of the number of doctor changes is linearly correlated with health deterioration. The results suggest that disease conditions can only be controlled with an adequate number of clinic visits. Excessively frequent clinic visits are not only unfavorable to patients' health status but are also wasteful of limited medical resources. For diabetic mellitus patients, the more they change doctors, the worse their health status. All of these results are important for patients to stay healthy and to save medical resources.

Pediatric Asthma Health Care Utilization, Viral Testing, and Air Pollution Changes During the COVID-19 Pandemic.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic caused dramatic changes in daily routines and health care utilization and delivery patterns in the United States. Understanding the influence of these changes and associated public health interventions on asthma care is important to determine effects on patient outcomes and identify measures that will ensure optimal future health care delivery. OBJECTIVE: We sought to identify changes in pediatric asthma-related health care utilization, respiratory viral testing, and air pollution during the COVID-19 pandemic. METHODS: For the time period January 17 to May 17, 2015 to 2020, asthma-related encounters and weekly summaries of respiratory viral testing data were extracted from Children's Hospital of Philadelphia electronic health records, and pollution data for 4 criteria air pollutants were extracted from AirNow. Changes in encounter characteristics, viral testing patterns, and air pollution before and after Mar 17, 2020, the date public health interventions to limit viral transmission were enacted in Philadelphia, were assessed and compared with data from 2015 to 2019 as a historical reference. RESULTS: After March 17, 2020, in-person asthma encounters decreased by 87% (outpatient) and 84% (emergency + inpatient). Video telemedicine, which was not previously available, became the most highly used asthma encounter modality (61% of all visits), and telephone encounters increased by 19%. Concurrently, asthma-related systemic steroid prescriptions and frequency of rhinovirus test positivity decreased, although air pollution levels did not substantially change, compared with historical trends. CONCLUSIONS: The COVID-19 pandemic in Philadelphia was accompanied by changes in pediatric asthma health care delivery patterns, including reduced admissions and systemic steroid prescriptions. Reduced rhinovirus infections may have contributed to these patterns.

Standard gastroenterologist versus multidisciplinary treatment for functional gastrointestinal disorders (MANTRA): an open-label, single-centre, randomised controlled trial.

BACKGROUND: Functional gastrointestinal disorders are common and costly to the health-care system. Most specialist care is provided by a gastroenterologist, but only a minority of patients have improvement in symptoms. Although they have proven to be effective, psychological, behavioural, and dietary therapies are not provided routinely. We aimed to compare the outcome of gastroenterologist-only standard care with multidisciplinary care. METHODS: In an open-label, single-centre, pragmatic trial, consecutive new referrals of eligible patients aged 18-80 years with Rome IV criteria-defined functional gastrointestinal disorders were randomly assigned (1:2) to receive gastroenterologist-only standard care or multidisciplinary clinic care. The multidisciplinary clinic included gastroenterologists, dietitians, gut-focused hypnotherapists, psychiatrists, and behavioural (biofeedback) physiotherapists. Randomisation was stratified by Rome IV disorder and whether referred from gastroenterology or colorectal clinic. Outcomes were assessed at clinic discharge or 9 months after the initial visit. The primary outcome was a score of 4 (slightly better) or 5 (much better) on a 5-point Likert scale assessing global symptom improvement. Modified intention-to-treat analysis included all patients who attended at least one clinic visit and who had answered the primary outcome question. This study is registered with ClinicalTrials.gov, NCT03078634. FINDINGS: Between March 16, 2017, and May 10, 2018, 1632 patients referred to the hospital gastrointestinal clinics were screened, of whom 442 were eligible for a screening telephone call and 188 were randomly assigned to receive either standard care (n=65) or multidisciplinary care (n=123). 144 patients formed the modified intention-to-treat analysis (n=46 in the standard-care group and n=98 in the multidisciplinary-care group), 90 (63%) of whom were women. 61 (62%) of 98 patients in the multidisciplinary-care group patients saw allied clinicians. 26 (57%) patients in the standard-care group and 82 (84%) patients in the multidisciplinary-care group had global symptom improvement (risk ratio 1·50 [95% CI 1·13-1·93]; p=0·00045). 29 (63%) patients in the standard-care group and 81 (83%) patients in the multidisciplinary-care group had adequate relief of symptoms in the past 7 days (p=0·010). Patients in the multidisciplinary-care group were more likely to experience a 50% or higher reduction in all Gastrointestinal Symptom Severity Index symptom clusters than were patients in the standard-care group. Of the patients with irritable bowel syndrome, a 50-point or higher reduction in IBS-SSS occurred in 10 (38%) of 26 patients in the standard care group compared with 39 (66%) of 59 patients in the multidisciplinary-care group (p=0·017). Of the patients with functional dyspepsia, a 50% reduction in the Nepean Dyspepsia Index was noted in three (11%) of 11 patients in the standard-care group and in 13 (46%) of 28 in the multidisciplinary-care group (p=0·47). After treatment, the median HADS scores were higher in the standard-care group than in the multidisciplinary-care group (13 [8-20] vs 10 [6-16]; p=0·096) and the median EQ-5D-5L quality of life visual analogue scale was lower in the standard-care group compared with the multidisciplinary-care group (70 [IQR 50-80] vs 75 [65-85]; p=0·0087). The eight SF-36 scales did not differ between the groups at discharge. After treatment, median Somatic Symptom Scale-8 score was higher in the standard-care group than in the multidisciplinary-care group (10 [IQR 7-7] vs 9 [5-13]; p=0·082). Cost per successful outcome was higher in the standard-care group than the multidisciplinary-care group. INTERPRETATION: Integrated multidisciplinary clinical care appears to be superior to gastroenterologist-only care in relation to symptoms, specific functional disorders, psychological state, quality of life, and cost of care for the treatment of functional gastrointestinal disorders. Consideration should be given to providing multidisciplinary care for patients with a functional gastrointestinal disorder. FUNDING: None.

Impact of Secured Prescription Implementation for Zolpidem on Hypnotics Use in France: A Time-Series Analysis on National Data.

We evaluated the impact of the implementation of a requirement that zolpidem prescriptions be obtained via secured forms (April 2017) on zolpidem and other hypnotics use in France. We conducted a time-series analysis on data from the French national health care system, from January 1, 2015 to January 3, 2018, for all reimbursed hypnotics. An important and immediate decrease in zolpidem use (-161,873 defined daily doses [DDD]/month; -215,425 to -108,323) was evidenced, with a concomitant raise in zopiclone use (+64,871; +26,925 to +102,817). These findings suggest that the change in zolpidem prescribing policies was effective, but has resulted in a shift from zolpidem to zopiclone. Further interventions are needed to decrease hypnotics' overuse in France.