Health Care Utilization Patterns Research Articles

Functional outcomes and healthcare utilization trends in postsurgical and nonsurgical patients following high-frequency (10 kHz) spinal cord stimulation therapy

IntroductionChronic low back pain (CLBP) is the leading cause of disability in the United States and is associated with a steadily increasing burden of healthcare expenditures. Given this trend, it is essential to evaluate interventions aimed at reducing disability and optimizing healthcare utilization (HCU) in affected populations. This study investigates the impact of prior spinal surgery on functional outcomes and HCU patterns following high-frequency (10 kHz) spinal cord stimulation (SCS) therapy.MethodsThis retrospective observational study included 160 subjects who underwent implantation of a 10 kHz SCS device. Participants were divided into surgical and non-surgical cohorts for comparative analysis. Pain relief was assessed using the Numeric Rating Scale (NRS), while disability levels were evaluated using the Oswestry Disability Index (ODI). HCU was examined through the frequency of emergency department (ED) visits, outpatient visits for interventional pain procedures, and opioid consumption measured in morphine milliequivalents (MME).ResultsNo statistically significant differences were observed between the surgical and non-surgical groups regarding pain relief and disability outcomes. Additionally, ED visits and outpatient visits for interventional pain procedures did not show significant differences between the two cohorts.DiscussionThis study represents the first comparative analysis of pain, disability, and HCU trends between surgical and non-surgical populations following 10 kHz SCS therapy. The results suggest that prior spinal surgery may not substantially affect the efficacy of 10 kHz SCS therapy in terms of pain relief, disability reduction, or HCU patterns.

Healthcare utilisation patterns and drivers amongst inflammatory bowel disease patients in the outpatient clinic.

Inflammatory bowel disease (IBD), encompassing Crohn's disease and ulcerative colitis, impose an escalating burden on healthcare systems globally, with a rising prevalence contributing to increased costs. This study explored healthcare utilisation patterns and its drivers amongst IBD patients in an outpatient clinic. A longitudinal cohort study was conducted at a Dutch academic teaching hospital. IBD patients (n = 180) were followed for 1 year and were categorised based on disease activity and consultation frequency. Healthcare utilisation was assessed through consultations and laboratory tests. Patient-reported outcomes and biochemical disease activity were measured, and subsequently the reasons for consultations were analysed. The frequency of outpatient healthcare utilisation exceeded the recommended IBD care guidelines by two-fold. Comorbidities were the leading reason for consultations (40.4%), followed by remission induction, medication changes and pending test results. Moreover, clinical disease activity, reported problems with self-care, daily activities and pain were predictive of an increase in annual consultations. This study identified factors influencing healthcare utilisation in IBD outpatients. Personalised care pathways using eHealth technologies have the potential to reduce unnecessary consultations and optimise resource allocation.

Costs of treating serious adverse effects of drugs used for treatment of obesity: comparison of selected European countries

Drugs for the treatment of obesity show significant effectiveness, but the adverse effects (ADRs) of these drugs are numerous and varied, and some of them are highly cost-generating. Our research aimed to define the health care utilization pattern in treating ADRs of antiobesity therapy, to compare the costs of treating these ADRs among selected European countries, and to identify the key cost drivers. A comparative analysis of the costs of treating the ADRs of antiobesity drugs in 10 European countries (seven EU members and three from the Western Balkans) was conducted, and the impact of parameters of global health expenditures on them was assessed. There are considerable differences in costs of treating adverse antiobesity drug reactions among European countries: costs of treating gastroesophageal reflux disease varied almost 20 times between North Macedonia (12.6 EUR) and Estonia (202.9 EUR). The Gross Domestic Product per capita was an important cost driver in treating the majority of the ADRs studied (p < .001), except for retinopathy, anaphylaxis, and respiratory disorders. The Domestic Private Health Expenditure increased the costs of treating depression (p = .012), upper respiratory tract infection (p = .008), melanocytic naevus (p = .027), and drug-induced hepatitis (p = .023). Investment in pharmaceuticals, medical goods, and preventive care tended to reduce the costs of treating several ADRs, which are seemingly unrelated to the body site or mechanism. Healthcare utilization and costs of treating ADRs to antiobesity drugs vary significantly among European countries. These differences should be considered when creating inputs for cost-effectiveness and budget impact models to decrease their uncertainty.

Impact of Rural School-Based Health Centers on Asthma Management

To test the hypothesis that students with asthma who have access to school-based health centers (SBHCs) receive more recommended preventive care and use less emergency care, we compared patterns of health care utilization among rural students with asthma by SBHC access. Using a cross-sectional design, we analyzed encounters for all patients ages 4 through 19 living in 4 counties covered by a healthcare system that sponsors a network of SBHCs in rural upstate New York. Patient addresses for each encounter were geocoded to school districts, allowing us to determine whether students lived in districts with (n=15) or without (n=23) a SBHC. We measured utilization among students with asthma in 2016 and 2017, comparing measures by SBHC access. Students with asthma were identified using ICD diagnosis codes from visits in the two calendar years prior to each analysis year. Students in districts with SBHCs had greater odds of 2 or more asthma-related office visits (OR=2.23; 95% CI: 1.66-2.99) and 1 or more well-child visits (OR=1.24; 95% CI: 1.03-1.50) than their peers in districts without SBHCs. Students in districts with SBHCs had lower odds of a respiratory-related convenient care or emergency department visit (OR=0.45; 95% CI: 0.30-0.67). Across outcomes, differences were greatest when comparing students who utilized the SBHC in their district with students in districts who did not have access to a SBHC. Rural students with asthma who have access to SBHCs have greater opportunities for preventive asthma care per national guidelines and use emergency departments and convenient care less.

Process Mining on National Health Care Data for the Discovery of Patient Journeys of Older Adults

ObjectiveUnderstanding the longitudinal patterns of health care utilization among older adults is crucial for designing effective patient journeys and enhancing care coordination across settings. This study aims to uncover the most common patient journeys of older adults. DesignThis explorative study used process mining techniques to analyze national health care data from 2017 to 2019, focusing on patient care journeys of older adults (aged ≥65 years) in the Netherlands. Setting and ParticipantsData were sourced from Statistics Netherlands, encompassing all residents aged ≥65 years as of January 1, 2017. Health care usage declarations from various care settings during 2017-2019 were included. Patient journeys were exclusively selected if their initiation points were certain. MethodsData underwent rigorous preprocessing, merging, and filtering to create a single event log file suitable for process mining. Patients were categorized by age and medication use, and differences in patient journeys were analyzed. Process mining techniques generated visualizations illustrating the connections between care forms and the impact of changes in one form on others. ResultsThe study included 3,177,203 individuals aged 65 years and older, with 44% experiencing 1 or more patient journeys totaling 2,469,663 journeys in 2017-2019. Most care journeys for older adults were simple and short. The top 10 most frequent journeys had 4 or fewer care forms, with 95% of journeys for the 65+ population and 90% for the 85+ population having 4 or fewer care transitions. Long-term care forms, such as home care, personal care, and long-term care, accounted for the majority of time spent in the system. Conclusions and ImplicationsThis pioneering study used process mining to show that most older adults tend to have a straightforward health care need, often involving the emergency department and hospitalizations. However, a smaller group among the population requires more complex and prolonged care, especially in the 85+ population. Reducing the number of transitions for this population, although impacting fewer people, might result in a larger effect on the overall system.

Impact of bundled payments on healthcare use and costs for cardiovascular diseases in the Netherlands

Abstract Background Bundled payments for patients with cardiovascular diseases (CVD) aim to enhance primary care utilization in the Netherlands. This study assesses changes in healthcare utilization patterns and costs for CVD between 2015 and 2019, while investigating the potential association with bundled payment adoption. Methods We studied patients at very high risk for CVD using routinely recorded nationwide healthcare data. Multilevel logistic- and gamma regressions were conducted to assess healthcare utilizations patterns between 2015 and 2019, and the impact of bundled payments on the likelihood of receiving medical specialist care and the height of associated costs. Results The odds of medical specialist involvement declined over time for the 148,876 patients included in our study. This decline was significantly associated with practices’ use of bundled payments. Medical specialist costs did also significantly decrease between 2015 and 2019, and patients in practices with the highest level of bundled payments had significantly lower medical specialist costs. When general practice costs were included however, healthcare costs per patient stayed the same, both over time and stratified by use of bundled payments. Conclusions Our findings suggest an association between bundled payments and specialized healthcare use, potentially facilitating the transition to primary care. While we found no evidence for costs savings, our findings do support a reduction in spending growth. Key messages • We evaluated the impact of bundled payments as a means to facilitate integrated care, and found that bundled payments were associated with lower uptake of specialized medical care. • We found no cost savings were found, but findings do support reduced spending growth.

A tale of two times: an exploration of healthcare utilization patterns before and during COVID-19 in Iran

BackgroundThe COVID-19 pandemic has impacted global healthcare utilization patterns. This study aimed to examine the impact of COVID-19 pandemic on utilization rate of healthcare services in Iran.MethodIn this quasi-experimental study, data on the utilization rates of laboratory services, sonography exams, CT scans, MRIs, and EKGs was collected from the Social Security Organization (SSO)’s insurance information system. This data, covering 47 months prior to the pandemic and 25 months during it, was analyzed to assess the pandemic’s impact on healthcare utilization among insured individuals in Iran. The data was categorized into direct, indirect, and total sectors, and an Interrupted Time Series Analysis (ITSA) model was employed for data analysis, examining both total and sector-specific utilization rates.Findings: The study for single group indicated that in the total sector, Utilization rate per 1000 insured significantly decreased by 25.25 for laboratory services, decreased by 3.99 for sonography, decreased by 1.08 for MRIs and decreased by 1.01 for EKGs, but increased by 2.28 for CT scans in the first pandemic month. Over following months, monthly utilization trends per 1000 insured increased significantly- laboratory services + 1.08, sonography + 0.11, CT scans + 0.12, MRIs + 0.06, and EKGs + 0.05. Pre-pandemic, monthly utilization per 1000 insured was 62.68 labs, 14.47 sonography, 0.72 CT scans, 2.06 MRIs, with all significantly higher in the indirect over direct sector except EKGs which were 2.08 higher in the direct sector. In the first pandemic month, there were significant between-sector differences per 1000 of -4.4 for sonography, + 1.89 CT scans, -1.01 MRIs and + 1.29 EKGs.ConclusionThe COVID-19 pandemic led to a significant decline in healthcare service utilization, particularly in total and direct sectors, while CT scans remained unaffected. To address these challenges and meet patient needs, Iran’s health system should adopt alternative delivery methods like telemedicine.

Real world comparison of filgrastim to filgrastim-sndz in patients with chemotherapy-induced neutropenia.

There exists some apprehension by prescribers, healthcare providers, and other stakeholders regarding the real-world safety and effectiveness of biosimilars. While some of the apprehension is likely due to clinician knowledge gaps in the biosimilarity exercise, additional data (including those generated from the real-world) regarding safety and efficacy could reduce a clinician's perception of biosimilar uncertainty and can potentially increase biosimilar acceptance and uptake. The published literature is lacking regarding the real-world impact on healthcare costs and clinical outcomes when a single healthcare institution converts from filgrastim to filgrastim-sndz as its short-acting Granulocyte Colony Stimulating Factor (GCSF), especially within diverse populations and indications not explicitly studied through the registration trials. Specifically, both filgrastim and filgrastim-sndz possess FDA-approved indications within patients with hematologic malignancies receiving high-dose chemotherapy and in those undergoing bone marrow transplantation. As a biosimilar to filgrastim, the FDA did not require prospective, randomized controlled trials to obtain these indications for filgrastim-sndz. The purpose of this study is to describe real-world healthcare resource costs, utilization patterns, and clinical outcomes in patients with hematologic malignancies who received filgrastim-sndz or filgrastim to support neutrophil recovery following chemotherapy (i.e., induction or consolidation) or a bone marrow transplant (BMT) at Yale New Haven Hospital (YNHH). A total of 148 patients were identified and met the following criteria: at least 18 years old, Eastern Cooperative Oncology Group (ECOG) performance status of 0 to 2, absence of fever or infection, newly diagnosed acute myeloid leukemia or newly post-bone marrow transplant and received filgrastim-sndz (Zarxio®) or reference filgrastim (Neupogen®). Healthcare resource utilization outcomes were compared between biosimilar and reference filgrastim using descriptive statistics. There were no major differences between either cohort, including duration of hospitalization, the number of overall emergency room visits and additional hospital admissions with a primary diagnosis of febrile neutropenia or neutropenia within 30 days post-discharge from initial hospital admission, time to neutrophil recovery following GCSF support, and the incidence and duration of both fever and febrile neutropenia. The total cost based on treatment of all patients in each arm differed significantly with filgrastim-sndz being the most cost-effective choice. filgrastim-sndz significantly reduced healthcare utilization costs compared to reference filgrastim with similar effect on absolute neutrophil count, incidence of fever, and febrile neutropenia.

Trajectory Analysis of Healthcare Use Before and After Gastrointestinal Cancer Surgery.

Frailty correlates with worse post-operative outcomes and higher surgical costs, but the long-term impact on healthcare utilization remains ill-defined. We sought to evaluate patterns of healthcare utilization pre- and post-surgery among patients with gastrointestinal cancer and characterize the association with frailty. Data on patients who underwent surgical resection for liver, biliary, pancreatic, colon and rectal cancer were obtained from the 2005-2020 SEER-Medicare database. Frailty was assessed using the claims-based frailty index. Group-based trajectory modelling identified clusters of patients with discrete patterns of healthcare utilization. Multivariable regression was performed to predict cluster membership based on preoperative factors, including frailty. Among 66,684 beneficiaries, four distinct utilization trajectories based on data from 12 months before and after surgery were identified. Following a surge in utilization during the month of surgery, most patients reverted to pre-surgery baseline utilization (low: n=6588, 9.9%; moderate: n=17,627, 26.4%; high: n=29,850, 44.8%). However, a notable trajectory involving 12,619 (18.9%) patients was identified, wherein surgery precipitated a transition from a "low" pre-surgery utilization state to a "high" utilization state post-surgery. Frail patients were more likely to be among those individuals who transitioned to high utilizers (low: 4.2% vs. vs. transition: 12.6% vs. high: 7.5%; p<0.001). On multivariable analysis incorporating preoperative variables, frailty was associated with high group trajectory membership (ref: least and moderate; highest: OR 4.90, 95%CI 4.49-5.35; p<0.001). Patients with gastrointestinal cancer demonstrated distinct clusters of healthcare utilization after surgical resection. Preoperative predictive models may help differentiate different health care utilization trajectories to help tailor care for patients in the postoperative period.

Healthcare resource utilisation and costs in infants with confirmed respiratory syncytial virus infections: a national population cohort study

BackgroundRespiratory syncytial virus (RSV) is the leading cause of severe respiratory infections in infants worldwide, significantly affecting their health and contributing to the global healthcare burden. We aimed to examine healthcare resource utilisation patterns and costs for infants under one year old with confirmed RSV infection across subgroups of different gestational ages and health conditions and the cost implications of RSV infections over time, thereby demonstrating the economic burden of the disease.MethodsThis retrospective cohort study utilised nationwide claims data from the Korea Health Insurance Review and Assessment Service for infants under one year of age with confirmed RSV infection in the first year of life from January 2017 to April 2022. The infants were stratified into three subgroups based on their gestational age and health status: unhealthy preterm, healthy preterm, and full-term infants. A descriptive analysis was conducted to estimate healthcare utilization by type of resource and costs related to the treatment of RSV.ResultsOut of 93,585 RSV infections identified, 31,206 patients met the inclusion criteria; these included 963 unhealthy preterm, 1,768 healthy preterm and 28,475 full-term infants. In our study, 76.3% of the infants with confirmed RSV infection required intensive care, including hospitalisation and more critical interventions such as intensive care unit (ICU) or mechanical ventilation (MV). The total average cost of RSV management was notably higher for unhealthy preterm infants ($ 6,325; 95% confidence interval (CI): $ 5,484-7,165) than for healthy preterm ($ 1,134; 95% CI: $ 1,006 − 1,261) and full-term infants ($ 606; 95% CI: 583–630). Our findings confirmed a significant epidemiological and economic burden, with infants at greater risk–shorter gestational age and poorer health conditions. Furthermore, we observed a marked increase in the total average cost of RSV management during COVID-19, reflecting the complex interplay between RSV and pandemic-related healthcare dynamics.ConclusionOur findings provide evidence for the significant economic burden of RSV infection among infants, with considerable disparities based on gestational age and health status subgroups. However, RSV prevention policies should also recognise that healthy preterm or full-term infants who receive intensive care face a significant disease burden.

Disparities in infectious disease-related health care utilization between Medicaid-enrolled American Indians and non-Hispanic Whites-Lessons from the first 16 months of coronavirus disease 2019 and a decade of flu seasons.

To understand why American Indian and Alaskan Native (AIAN) populations have had exceptionally high COVID-19 mortality, we compare patterns of healthcare utilization and outcomes for two serious infectious respiratory diseases-Influenza-like-illness (ILI) and coronavirus disease 2019 (COVID-19)-between American Indian and Alaskan Native (AIAN) populations (as identified in Medicaid data) and non-Hispanic Whites over the 2009-2021 period. We select all people under the age of 65 years identified as non-Hispanic White or AIAN in the New York State Medicaid claims data between 2009 and 2021. We analyze data across 10 ILI cohorts (between September 2009 and August 2020) and 4 COVID-19 cohorts (March-June 2020, July-September 2020, October-December 2020, and January-June 2021). We examine mortality and utilization rates using logistic regressions, adjusting for demographic characteristics, prior chronic conditions, and geographic location (including residence near a reservation). We stratify the analysis by rural vs. nonrural counties. We use the New York State Medicaid claims data for the analysis. We find that even among Medicaid beneficiaries, who are similar in socioeconomic status and identical in health insurance coverage, AIAN populations have much lower rates of use of outpatient services and much higher rates of acute (inpatient and emergency room) service utilization for both ILI and COVID-19 than non-Hispanic Whites. Prior to COVID-19, demographic and health status-adjusted all-cause mortality rates, including from ILI, were lower among American Indians than among non-Hispanic Whites on New York State Medicaid, but this pattern reversed during the COVID-19 pandemic. Both findings are driven by nonrural counties. We did not observe significant differences in all-cause mortality and acute service utilization comparing AIAN to non-Hispanic Whites in rural areas. The utilization and mortality disparities we identify within the Medicaid population highlight the need to move beyond insurance in addressing poor health outcomes in the American Indian population.

Respiratory phenotype and health care utilization patterns by adults with sickle cell disease

AbstractAdults with sickle cell disease (SCD) and asthma have increased mortality and health care utilization; however, there are individuals with respiratory symptoms (including cough and wheeze) without asthma. These individuals may have similar patterns of increased mortality and health care utilization. To characterize the association between respiratory phenotype and health care utilization by adults with SCD. Cross-sectional study of adults with SCD presenting for emergency and inpatient hospital care from 2012 to 2014 in Florida, Iowa, and New York using state-level health care utilization databases. Outcomes of interest include all-cause, SCD-related, painful episode, and acute chest syndrome–related care. Respiratory phenotype was defined as SCD + asthma, SCD + respiratory symptoms, and SCD + none. We built multivariable logistic regression and negative binomial regression models to evaluate the association adjusting for demographics, social determinant of health proxies, year of care, and state. Of 29 952 identified individuals, 3.4% had intermittent respiratory symptoms, and a larger proportion (15.6%) had asthma. There was a high rate of inpatient hospitalizations (43%) and ED visits (60%). Individuals with asthma had a higher annual risk of inpatient hospitalizations (48% vs 37%) but lower annual risk of an ED visit (62% vs 86%) than individuals with intermittent respiratory symptoms. The pattern of increased health care utilization among individuals with intermittent respiratory symptoms was consistent across each utilization type. In this large cohort of adults with SCD, we identified some with intermittent respiratory symptoms who had significantly increased health care utilization. This warrants further evaluation to understand potential etiologies and interventions.

Patterns of healthcare utilization according to health equity determinants during the first year of the pandemic at Johns Hopkins Medicine.

Rapid telehealth adoption happened at the onset of the coronavirus disease 2019 (COVID-19) pandemic, resulting in a move from in-person predominant to telehealth predominant care delivery. Later, in person visits rebounded with telehealth options remaining. This study aimed to assess differences in healthcare utilization during this changing landscape in terms of health equity determinants. This was an observational cohort study of Johns Hopkins Medicine (JHM) patients. We analyzed utilization of video, telephone, and in-person patient-provider visits by eligible patients between March 16, 2019 and December 31, 2020. Percent changes in average weekly patient-provider visits from pre-pandemic (March 16, 2019-June 30, 2019) to early 2020 pandemic (March 16, 2020-June 30, 2020) and from pre-pandemic (July 1, 2019-December 31, 2019) to late 2020 pandemic (July 1, 2020-December 31, 2020). We used a quantile cut off technique to describe disproportionately smaller or greater drops in visits during the first year of the pandemic among health equity determinant groups and according to visit specialty, when compared to the total population. There was a 39% drop in patient-provider visits from the pre-pandemic to the early 2020 pandemic period, and a 24% drop from pre-pandemic to the late 2020 pandemic period. We discovered 21 groups according to health equity determinates and visit departments with patterns of disproportionately smaller or greater drops in visits during the first year of the pandemic, when compared to the total population: Pattern 1 -smaller drop in visits early and late 2020 (age 45-64, Medicare insurance, high poverty and high unemployment; mental health and medical specialty visits -P < .001); Pattern 2 -greater drop in visits early 2020 only (age 65-84; OB/GYN and surgical specialty visits-P < .001); Pattern 3 -greater drop in visits early and late 2020 (age 0-5, age 6-17, age 85+, Asian race, Hispanic or Latino ethnicity, private insurance-P < .001); and Pattern 4-smaller drop in visits in early 2020 when compared to late 2020. The age 18-44 group showed a smaller drop in visits early 2020 and then visit levels similar to the total population late 2020. Primary care visits were similar to the total population early 2020 and then a smaller drop in visits late 2020 (P < .001). Our study provides evidence of health equity determinant groups having disproportionally smaller or greater drops in visits during the first year of the pandemic. The observed differences may have been influenced by changing telehealth offerings during the first year of the pandemic. Groups with disproportionately smaller drops in visits early 2020 (Pattern #1 and age 18-44 group in Pattern #4), suggests more success with adopting telehealth among those groups. Whereas groups with disproportionately greater drops in visits early 2020 (Pattern #2 and Pattern #3), suggests less success with telehealth adoption. For Pattern #4, more clarification is needed on how changes in telehealth offerings contributed to the downward trend in visits observed from early to late 2020. We describe 4 main patterns to characterize groups with disproportionately smaller or greater drops in visits during the first year of the pandemic. While this work did not specifically study vulnerable populations, these patterns set the stage for further studies of such groups.

The impact of diagnosing provider type on longitudinal care for patients with newly diagnosed Huntington’s Disease

Aims This study evaluated the association between provider types for patients with newly diagnosed Huntington’s disease (HD) and healthcare resource utilization (HCRU), costs, and treatment patterns. Materials and methods This retrospective analysis used MarketScan® databases (1/1/2017-12/31/21) to identify provider type who diagnosed and managed US adult patients with HD. Patients with continuous enrollment 6 months pre- and 12 months post-diagnosis were included. Outcomes evaluated over 12 months post-diagnosis included hospitalizations, outpatient visits, antipsychotic or vesicular monoamine transporter 2 (VMAT2) inhibitor use, and total healthcare costs. Results 340 eligible patients had a mean age at diagnosis of 49 years. 56.5% were female; 71.5% had a Charlson Comorbidity Index of 0. Patients were diagnosed by neurologists (48.5%), primary care providers (PCP) (35.6%), psychiatrists (3.5%), or other providers (12.4%). Patients diagnosed by PCPs or neurologists received significantly more follow-ups by the same diagnosing provider type (P < 0.05). All-cause and HD-related outpatient visits at 12-month follow-up had more patients diagnosed by PCPs (23.9, 5.1) than neurologists (18.0, 2.4), psychiatrists (16.7, 1.67), or others (15.3, 2.4). HD-related mean costs totaled $2,489 ($1,179 inpatient and $1,310 outpatient). Patients diagnosed by neurologists had significantly lower HD-related total non-medication costs vs those diagnosed by PCPs (−$2,256; P < 0.05). Among patients diagnosed by neurologists vs PCPs, similar proportions received antipsychotics within the first year (55% vs 52%, respectively); more patients managed by neurologists received VMAT2 inhibitors (12% vs 7%, respectively). Limitations Our study includes limitations inherent to retrospective claims studies. Conclusions Patients with HD are most often diagnosed by neurologists or PCPs; the same diagnosing provider type typically manages follow-up. Patients diagnosed by neurologists had significantly fewer HD-related outpatient visits, lower HD-related non-drug costs, and more frequently received VMAT2 inhibitors vs those diagnosed by PCPs. Our findings show an integrated care team may provide evidence-based, personalized care for patients with HD.

Changes in Healthcare Utilization After the 2022 Seoul Metropolitan Flood: Applying a Generalized Synthetic Control Approach.

Floods can have adverse health effects and impose a burden on healthcare systems. However, the potential consequences of floods on specific medical causes in densely populated metropolitan cities has not been characterized yet. Therefore, we evaluate the changes in healthcare utilization patterns after the 2022 Seoul flood using nationwide health insurance data. Based on the flood inundation map, districts within the flooded municipalities of Seoul were classified as severe-(n=12), mild-(n=22), or non-(n=38) flood-affected districts. Capitalizing on the timing of the flood as a natural experiment, a generalized synthetic control method was applied to estimate changes in the number of disease-specific hospital visits in flood-affected districts during 2weeks after the flood. We found excess hospital visits for external injuries (20.2 visits, 95% CI: -6.0, 45.2) and fewer visits for pregnancy and puerperium (-3.0 visits, 95% CI: -5.1, -0.5) in residents of flooded districts. When comparing severe- and non-flood districts, the increase in hospital visits for external injuries (56.2 visits, 95% CI: 17.2, 93.2) and a decrease in hospital visits related to pregnancy and puerperium (-5.3 visits, 95% CI: -8.4, -1.6) were prominent in residents living in severe-flood affected districts. Disease specific analysis showed an increase in hospital visits for injuries to the elbow and forearm, ankle and foot injuries, and chronic lower respiratory diseases in severe-flood-affected districts. However, these impacts were not observed when comparing the mild- and non-flood-affected districts. Our study suggests an immediate and substantial change in medical demand following flood exposure, highlighting the importance of public health responses after flood events.

S819 Disorder of Brain-Gut interaction: A Single Institution Report of Healthcare Utilization Patterns

S819 Disorder of Brain-Gut interaction: A Single Institution Report of Healthcare Utilization Patterns

Impact of NHI copayment adjustments on healthcare seeking behavior: the mediating role of health facility identification

ObjectiveThis study investigates the impact of healthcare consumers’ involvement, price perception, and attitude toward National Health Insurance (NHI) copayment adjustments on their healthcare-seeking behavior, focusing on the mediating role of health facility identification.MethodsA questionnaire survey was conducted among outpatient customers in Taiwan from October 2023 to March 2024, resulting in 746 valid responses. The survey included demographic variables, involvement, price perception, attitude, health facility identification, and healthcare-seeking behavior. Data were analyzed using descriptive statistics, correlation analysis, and multiple regression analysis with SPSS 20.0.ResultsThe study found that involvement, price perception, and attitude significantly influence healthcare-seeking behavior. Health facility identification was identified as a significant mediator in the relationship between copayment perception and healthcare-seeking behavior. The regression analysis also highlighted the impact of demographic factors such as age, education level, marital status, and annual income on healthcare-seeking behavior. The path model illustrated the complex interplay between perceptual factors and their influence on healthcare-seeking behavior.ConclusionThis study emphasizes the importance of consumer involvement, price perception, and attitude in shaping healthcare utilization patterns. Health facility identification plays a crucial mediating role, suggesting that stronger patient-provider relationships can mitigate potential negative impacts of copayment adjustments. Policymakers and healthcare providers should enhance patient engagement, foster strong patient-facility identification, and provide targeted support for vulnerable groups to ensure equitable access to healthcare services despite copayment changes.

The impact of the COVID-19 pandemic on mental health care utilization among people living with HIV: A real-world data study.

The COVID-19 pandemic has profoundly impacted mental health worldwide, particularly among vulnerable populations such as people living with HIV (PLWH). However, large-scale, real-world data on mental health care utilization and associated factors among PLWH remain limited. This study leveraged electronic health records (EHR) and Basics survey data from the All of Us program to explore mental health care utilization and associated factors among PLWH during the COVID-19 pandemic. Using a retrospective cohort design, we identified and included 4,575 PLWH through computational phenotyping based on relevant Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) concept sets from the All of Us program between March 2018 and March 2022. Mental health care utilization was measured using the yearly count of mental health care visits over this period. The pattern of mental health care utilization was compared between pre-pandemic (2018-2020) and during the pandemic (2020-2022). Incidence rate ratios (IRR) from the Poisson generalized linear mixed models (GLMM) were used to examine associations between mental health care utilization, history of COVID-19 infection, demographic factors, pre-existing chronic conditions (e.g., hypertension, diabetes), and socioeconomic status. Among 4,575 PLWH, the annual number of mental health care visits decreased significantly during the pandemic period (March 2020 - March 2022) compared to the pre-pandemic period (March 2018 - February 2020) (IRR = 0.89, p < 0.001). The Poisson regression analysis found that a history of COVID-19 infection was associated with a higher number of mental health care visits (IRR = 1.35, p < 0.001). Middle-aged groups with participants aged 30-39 (IRR= 2.35, p = 0.002), 40-49 (IRR= 3.49, p < 0.001), and 50-64 (IRR= 2.07, p = 0.004) had significantly higher visit numbers compared to the youngest group (18-29 years). Black or African American participants were less likely to have visits compared to White participants (IRR = 0.71, p = 0.002). Medicaid health insurance was associated with an increase (IRR = 1.29, p = 0.007), while employer- or union-sponsored insurance was associated with a decrease in mental health care utilization (IRR = 0.54, p < 0.001, p < 0.001). Pre-existing comorbidities greatly increased the number of mental health care visits (one comorbidity: IRR = 5.49, two or more: IRR = 10.4, p < 0.001). Our study reveals a significant decrease in mental health care utilization and the diverse experiences of mental healthcare among PLWH during the COVID-19 pandemic. These findings underscore the importance of addressing disparities in mental health care access, particularly during public health emergencies, and suggest the need for tailored interventions to meet the mental health care needs of PLWH.

Health service utilization, substance use treatment response, and death in patients with opioid use disorder and comorbid hepatitis C findings from prospective cohort study with administrative database linkage

BackgroundAmong patients with opioid use disorder (OUD), high rates of overdose and death have been reported in subgroups with Hepatitis C Virus (HCV). Evidence on the comorbid effect of HCV on clinical and substance use trajectories has been limited by small sample sizes, short follow-up, and heavy reliance on administrative data which lacks granularity on important prognostic factors. Additionally, few studies include populations on substance use treatment. AimTo establish the impact of HCV exposure (antibody positivity) on health care utilization patterns, substance use treatment response, and death in a cohort of patients with OUD on opioid agonist therapy (OAT). MethodsThis multi-center prospective cohort study recruited adult patients with OUD on OAT from 57 substance use treatment centers in Ontario, Canada. The study collected substance use outcomes, and classified patients with ≥50 % positive opioid urine screens over one year of follow-up as having poor treatment response. Additional data obtained via linkage with ICES administrative databases evaluated the relationship between HCV status, healthcare service utilization, and death over 3 years of follow-up. Multiple logistic regression models established the adjusted impact of HCV on various outcomes. ResultsAmong recruited participants (n = 3430), 44.10 % were female with a mean age of 38.64 years (Standard deviation: 10.96). HCV was prevalent in 10.6 % of the cohort (n = 365). Methadone was used most often (83.9 %, n = 2876), followed by sublingual buprenorphine (16.2 %, n = 554). Over the three-year follow-up, 5.3 % of patients died (n = 181). Unadjusted results reveal rates of hospitalization (all-cause, mental-health related, critical care) and emergency department visits (mental health-related), were significantly higher among HCV patients. Associations diminished in adjusted models. Active injection drug use exhibited the highest predictive risk for all outcomes. ConclusionA high degree of acute physical and mental illness and its resulting health service utilization burden is concentrated among patients with OUD and comorbid HCV. Future research should explore the role for targeted interventions and how best to implement integrated healthcare models to better address the complex health needs of HCV populations who inject drugs.

Healthcare service utilisation among adults with coronary artery disease in rural Aluva, South India: a community-based cross-sectional study

ObjectivesTo assess the pattern and determinants of healthcare service utilisation among adults with coronary artery disease (CAD) in a rural setting in Kerala, India.DesignA community-based cross-sectional analysis conducted within a...