Higher Healthcare Utilization Research Articles

Pulmonary hypertension survival and hospitalisations in people living with HIV: a systematic review and meta-analysis

IntroductionPeople living with HIV (PLHIV) have a higher risk of developing pulmonary hypertension (PH) with subsequent poorer prognosis. This review aimed to determine the (1) survival outcomes and (2) proportion...

Prison or treatment? Gender, racial, and ethnic inequities in mental health care utilization and criminal justice history among incarcerated persons with borderline and antisocial personality disorders.

Borderline and antisocial personality disorders are characterized by pervasive psychosocial impairment, disproportionate criminal justice involvement, and high mental health care utilization. Although some evidence suggests that systemic bias may contribute to demographic inequities in criminal justice and mental health care among persons experiencing these mental health conditions, no research to date has explicitly examined such differences. Women and White persons would be more likely to endorse internalizing symptoms and have a more extensive history of mental health service utilization, whereas men, persons from minoritized racial groups, and persons identifying as Hispanic/Latino would be more likely to endorse externalizing symptoms and have more extensive histories of involvement with the criminal justice system. This study examined gender, racial, and ethnic differences in symptom presentation, criminal justice history, and mental health care utilization in a sample of 314 adults with comorbid borderline and antisocial personality disorders enrolled in prison-based substance use treatment programs in the United States. Results suggested that men with these personality disorders were more likely to have early extensive criminal justice involvement, whereas women and White people had more extensive mental health treatment histories. Women were also more likely to endorse a range of internalizing symptoms, and White and non-Hispanic participants were more likely to endorse a history of reckless behavior. Notably, however, many associations-particularly, racial differences in symptom presentation and mental health utilization history and gender differences in symptom presentation-did not persist after we controlled for preincarceration employment and educational attainment. Results highlight a range of gender, racial, and ethnic inequities in criminal justice involvement and mental health utilization among this high-risk high-need population. Findings attest to the likely impact of societal, structural, and systemic factors on trajectories of persons affected by this comorbidity. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

IJCM_236A: Out-of-pocket expenditure on healthcare among geriatric population in central Kerala

Background: India is facing dual challenges caused by a rapid increase in burden of non-communicable diseases, marking epidemiological transition and an unprecedented expansion of geriatric population. The elderly faces a higher burden of disease due to a decline in their physical and immune systems, resulting in greater need and utilization of healthcare. The expanding geriatric population is inadequately supported by appropriate healthcare services which is essential for healthy ageing. Out-of-pocket expenditure on health carries significant adverse impacts. In order to lessen the financial burden of out-of-pocket medical expenses, the healthcare needs of the elderly ought to be addressed. Objectives: To assess the healthcare utilization pattern and out-of-pocket expenditure on healthcare among geriatric population in central Kerala. Methodology: A community based cross-sectional study was conducted among 150 elderly individuals, systematically sampled from 5 randomly selected wards of Adat Gram Panchayat in Thrissur district, Kerala. Data on sociodemographic characteristics, healthcare utilization and healthcare expenditure were collected using a pretested, semi-structured questionnaire by one-to-one interview. Appropriate statistical tests were used for analysis. Results: Mean age of respondents was calculated to be 72.64 ± 7.42. Majority (63.3%) preferred to utilize private health facility. 88.7% followed modern system of medicine. 43.3% had availed health insurance. Most commonly reported morbidities among elderly were Diabetes, hypertension and dyslipidaemia. The median direct medical cost was ?3000 (?560, ?4200) while the median direct non-medical cost was ?300 (?200, ?500). The total median out-of-pocket expenditure on healthcare among elderly was ?3550. Conclusion: Increasing burden of chronic diseases in elderly, high private healthcare utilization and suboptimal health insurance coverage leads to an increase in out-of-pocket expenditure on healthcare. Measures should be adopted for strengthening of health services and expanding insurance coverage among elderly, which in turn will reduce burden of out-of-pocket health expenditure.

Burden of Wilson Disease among patients and care partners in the United States: results from a cross-sectional survey

Objective: This study assessed the burden of Wilson Disease (WD) among patients and care partners (WD-CPs) in the US and compared it to a US general population of adults (GPs) and care partners (GP-CPs). Methods: This cross-sectional, self-reported survey included patients with WD and WD-CPs aged ≥18 years recruited through the Wilson Disease Association (WDA), while data for GPs and GP-CPs were obtained from the 2022 National Health and Wellness Survey. GPs and GP-CPs were propensity score matched (3:1) with WD patients and WD-CPs for demographics and health characteristics. Bivariate analysis evaluated differences in comorbidity burden and health-related outcomes of the WD cohorts compared to matched GP cohorts. Results: Thirty-seven patients with WD and 53 WD-CPs completed the survey. Most patients reported some treatment burden (73.3%), experienced sleep problems (60%), and visited a healthcare provider (HCP) in the past 6 months (91.9%). Compared with matched GPs, patients with WD had a significantly higher mortality risk (p < .001) and reported greater rates of chronic liver disease, cirrhosis (both, p < .001), migraines (p = .032), non-alcoholic steatohepatitis (p = .004), sleep problems (p = .009) and HCP visits (p = .002). Most WD-CPs (75.5%) reported high burden of caring (mean ZBI-12 score, 26.5) and more negative impact on esteem than GP-CPs. Conclusion: This study highlights the burden of WD experienced by patients and WD-CPs, with patients experiencing high treatment burden, comorbidity burden and healthcare resource utilization, and WD-CPs experiencing high impact of caring, including impact on employment and self-esteem.

The Consequences of Unmet Needs for Assistance With Daily Life Activities Among Older Adults: A Systematic Review.

Many older adults are experiencing unmet needs for assistance with the activities of daily living (ADLs) and instrumental activities of daily living (IADLs). Such unmet needs might threaten their physical and psychosocial well-being. We conducted a systematic review to provide a comprehensive picture of the health consequences of unmet ADL/IADL needs among older adults. Twenty-eight published articles were included for qualitative synthesis. We found that unmet ADL/IADL needs were consistently associated with higher health care utilization (e.g., hospitalization, medical spending) and adverse psychosocial consequences (e.g., anxiety, depression), while the findings of falls and mortality remain inconsistent. More studies are needed to draw firm conclusions and to allow for quantitative synthesis. This review advocates for more coordinated and comprehensive long-term care services for older adults. Future studies should explore how the adverse health outcomes identified in this review can be prevented or improved by adequately meeting older adults' needs for assistance.

2024 Watch List: Top 10 Technologies and Issues Related to Caring for Children and Youth With Medical Complexity

What Is the 2024 Watch List?&#x0D; &#x0D; The Watch List annual Horizon Scan report presents emerging technologies and issues that have the potential to shape the future of health care in Canada.&#x0D; CADTH’s 2024 Watch List focuses on care for children and youth with medical complexity. This top 10 has been divided in 2 parts — the top 5 technologies and top 5 issues related to children and youth with medical complexity that have the potential to make a significant and meaningful impact in transforming health systems in Canada over the next 5 years. These technologies and issues could shape the future of health care for not only children and youth with medical complexity, but also for others with chronic health conditions.&#x0D; &#x0D; Why Is This an Issue?&#x0D; &#x0D; Children and youth (people aged 24 years and younger) with medical complexity are a diverse group with a range of needs (e.g., single or multiple conditions, rare diseases). Although there is no single definition, common characteristics include significant functional limitations often causing the child or youth to be reliant on technology; high health care utilization, often requiring specialized care and services from different providers in multiple settings; and high health care service needs, such as care provision in the home and care coordination, which can have significant social and financial impacts on caregivers and the family.&#x0D; Children and youth with medical complexity account for less than 1% of all children and youth in Canada, but they account for 37% of hospital stays and 17% of emergency department visits. Due in part to the high number of health care interactions, this group experiences the effects of challenges within the health care system more acutely than their less medically complex peers.&#x0D; &#x0D; What Is the Potential Impact?&#x0D; &#x0D; The Watch List highlights areas for innovation, systems change, and investment.&#x0D; Advances in medical care have resulted in more children living with conditions that previously would not have been survivable in infancy and childhood. Now there are more children and youth with medical complexity, and they are living longer. Our current health systems were not designed to meet the complex needs of this group of people and their caregivers, including that many of them face challenges in accessing needed care. This year’s Watch List spotlights new and emerging technologies and key issues that could have a major impact on how patient care is provided to children and youth with medical complexity.&#x0D; &#x0D; What Else Do We Need to Know?&#x0D; &#x0D; In the 2024 Watch List, we identify and describe the top 5 new and emerging technologies that could shape the future of health care for children and youth with medical complexity in Canada, including new models of care and technologies and systems to improve communication. We also explore some considerations for health care decision-makers about the potential impact of these technologies on care pathways, health care human resources, health care infrastructure, and health equity.&#x0D; The 2024 Watch List also identifies the top 5 issues that limit health systems from providing optimal quality of care for children and youth with medical complexity. Key issues such as the need for increased interoperability between health systems and the need for strategies to improve sustainability warrant more attention and will influence the wider adoption, diffusion, and implementation of new and emerging technologies for children and youth with medical complexity.&#x0D; Monitoring ongoing developments and evidence related to the top technologies and issues highlighted in the 2024 Watch List can help guide health system planning in Canada and improve access to high-quality care.&#x0D;

Endometriosis Is Associated with Higher Healthcare Utilization and Upper Gastrointestinal Symptoms

Endometriosis is a chronic inflammatory disease affecting 10%-15% of women, with symptoms including abdominopelvic pain, dysmenorrhea, and menorrhagia. Up to 90% experience gastrointestinal (GI) symptoms including constipation, bloating, and nausea/vomiting.1 Females with endometriosis are at 3-5 times greater risk of developing IBS than healthy women,2,3 with rates of IBS as high as 52%.4 Another study demonstrated 37% of those with IBS also had endometriosis, much higher than the typical prevalence of endometriosis.5 Patients with IBS and endometriosis experience lower pain thresholds and more painful menstrual cycles than those with either condition alone. This amplification of pain experiences can increase health care utilization and decrease quality of life.

Cost-utility of Initial Management of High-grade T1 Bladder Cancer With Intravesical BCG vs Immediate Radical Cystectomy

ObjectivesTo compare the cost-utility of initial management of high-grade T1 non-muscle invasive bladder cancer (HGT1 NMIBC) with intravesical BCG versus immediate radical cystectomy. High risk NMIBC patients may climb a costly ladder of treatments, culminating in radical cystectomy for oncologic or symptomatic benefit in up to one-third. This high healthcare resource utilization presents a challenging dilemma in balancing sufficiently aggressive management with cost, toxicity, and quality-of-life. MethodsCost-utility of initially managing HGT1 with intravesical BCG and early radical cystectomy with ileal conduit urinary diversion was compared using decision-analytic Markov models. Five-year oncologic outcomes, adverse event rates, and published utility values were extracted from literature. Costs were calculated from a US Medicare perspective in 2021 US dollars. Sensitivity analysis identified drivers of cost and break-even points for recurrence and progression. ResultsMean costs were $26,093 for intravesical BCG and $39,720 for immediate radical cystectomy, though cystectomy generated a gain of 2.2 QALYs compared to intravesical BCG. Immediate cystectomy was a more cost-effective management strategy for HGT1 NMIBC with an ICER of $7120/QALY.The costs associated with cystectomy, TURBT, and BCG toxicity had the greatest impact on ICER. One-way sensitivity analysis demonstrated that intravesical BCG became a cost-effective management strategy if the five-year recurrence rate of HG T1 was less than 56% or the five-year progression rate to MIBC was less than 4%. ConclusionsAt current prices, treatment of high-grade T1 NMIBC with early radical cystectomy is more cost-effective management strategy than initial treatment with intravesical BCG.

The Role of Imaging for GI Bleeding: ACG and SAR Consensus Recommendations.

Gastrointestinal (GI) bleeding is the most common GI diagnosis leading to hospitalization within the United States. Prompt diagnosis and treatment of GI bleeding is critical to improving patient outcomes and reducing high health care utilization and costs. Radiologic techniques including CT angiography, catheter angiography, CT enterography, MR enterography, nuclear medicine red blood cell scan, and technetium-99m pertechnetate scintigraphy (Meckel scan) are frequently used to evaluate patients with GI bleeding and are complementary to GI endoscopy. However, multiple management guidelines exist, which differ in the recommended utilization of these radiologic examinations. This variability can lead to confusion as to how these tests should be used in the evaluation of GI bleeding. In this document, a panel of experts from the American College of Gastroenterology and Society of Abdominal Radiology provide a review of the radiologic examinations used to evaluate for GI bleeding including nomenclature, technique, performance, advantages, and limitations. A comparison of advantages and limitations relative to endoscopic examinations is also included. Finally, consensus statements and recommendations on technical parameters and utilization of radiologic techniques for GI bleeding are provided. © Radiological Society of North America and the American College of Gastroenterology, 2024. Supplemental material is available for this article. This article is being published concurrently in American Journal of Gastroenterology and Radiology. The articles are identical except for minor stylistic and spelling differences in keeping with each journal's style. Citations from either journal can be used when citing this article. See also the editorial by Lockhart in this issue.

Identifying future high healthcare utilization in patients with multimorbidity – development and internal validation of machine learning prediction models using electronic health record data

PurposeTo develop and internally validate prediction models with machine learning for future potentially preventable healthcare utilization in patients with multiple long term conditions (MLTC). This study is the first step in investigating whether prediction models can help identify patients with MLTC that are most in need of integrated care.MethodsA retrospective cohort study was performed with electronic health record data from adults with MLTC from an academic medical center in the Netherlands. Based on demographic and healthcare utilization characteristics in 2017, we predicted ≥ 12 outpatient visits, ≥ 1 emergency department (ED) visits, and ≥ 1 acute hospitalizations in 2018. Four machine learning models (elastic net regression, extreme gradient boosting (XGB), logistic regression, and random forest) were developed, optimized, and evaluated in a hold-out dataset for each outcome.ResultsA total of 14,486 patients with MLTC were included. Based on the area under the curve (AUC) and calibration curves, the XGB model was selected as final model for all three outcomes. The AUC was 0.82 for ≥ 12 outpatient visits, 0.76 for ≥ 1 ED visits and 0.73 for ≥ 1 acute hospitalizations. Despite adequate AUC and calibration, precision-recall curves showed suboptimal performance.ConclusionsThe final selected models per outcome can identify patients with future potentially preventable high healthcare utilization. However, identifying high-risk patients with MLTC and substantiating if they are most in need of integrated care remains challenging. Further research is warranted investigating whether patients with high healthcare utilization are indeed the most in need of integrated care and whether quantitively identified patients match the identification based on clinicians’ experience and judgment.

Impact of mental health comorbidity in children and young adults with inflammatory bowel disease: a UK population-based cohort study

ObjectiveTo evaluate the impact of mental health comorbidity in children and young adults with inflammatory bowel disease (IBD).DesignRetrospective observational study.SettingRepresentative population, routinely collected primary care data from the UK Optimum...

Early Clinical Outcomes of “Lemon-Dropped” Complex Primary Total Joint Arthroplasty Patients to a Tertiary Care Center

BackgroundIn the era of value-based care, pressures lead to cherry-picking healthier patients and lemon-dropping riskier patients to higher levels-of-care. This study examined whether “lemon-dropped” primary total joint arthroplasty (pTJA) patients require increased health care resources and experience worse outcomes. MethodsThis was a retrospective cohort study of all pTJAs at one tertiary care center in 2022, excluding bilaterals, acute fractures, oncologic cases, and conversion hips. Patients were classified via referral pattern as simple or complex (referred for medical or surgical complexity). Primary outcomes were implant costs and any emergency department visit, readmission, reoperation, or complication within 90 days. Secondary outcomes were distance traveled to the hospital, anesthesia type, estimated blood loss, case duration, time in the recovery unit, length of stay, and discharge disposition. Outcomes were assessed via electronic medical record review and analyzed via Fisher’s exact and unpaired Welch’s t-tests. ResultsIn total 641 pTJAs (322 hips, 319 knees) met inclusion criteria; 10.3% were complex referrals. Complex patients were younger (59 versus 66 years, P < .05) and more often non-White (41 versus 31%, P < .001), non-English speaking (11 versus 7%, P < .001), and had nonprimary osteoarthritis as a surgical indication (59 versus 12%, P < .001), but had similar Charlson Comorbidity Index and American Society of Anesthesiologists scores. Complex patients had increased odds of 90-day emergency department visits (OR [odds ratio] = 2.11, P = .04), 90-day complications (OR = 2.63, P < .001), and non-home discharge (OR = 2.60, P = .006); higher mean relative implant costs (1.31x, P < .001); longer time in the operating room (181 versus 158 minutes P < .001), time in surgery (125 versus 105 minutes, P < .001), and length of stay (3.2 versus 1.7 days, P = .005). Conclusions“Lemon-dropped” pTJAs had worse early clinical outcomes and higher health care utilization, despite a control group with patients ill enough to utilize a tertiary care center as their medical home. Reimbursement models and evaluation metrics must account for these differences.

Care Models and Discharge Services for Children With Medical Complexity.

Children with medical complexity (CMC) are high health care utilizers prompting hospitals to implement care models focused on this population, yet practices have not been evaluated on a national level. Our objective with this study is to describe the presence and structure of care models and the use of discharge services for CMC admitted to freestanding children's hospitals across the nation. We distributed an electronic survey to 48 hospitals within the Pediatric Health Information System exploring the availability of care models and discharge services for CMC. Care models were grouped by type and number present at each institution. Discharge services were grouped by low (never, rarely), medium (sometimes), and high (most of the time, always) frequency use. Of 48 eligible hospitals, 33 completed the survey (69%). There were no significant differences between responders and non-responders for both hospital and patient characteristics. Most participants identified an outpatient care model (67%), whereas 21% had no dedicated care model for CMC in the inpatient or outpatient setting. High-frequency discharge services included durable medical equipment delivery, medication delivery, and communication with outpatient provider before discharge. Low-frequency discharge services included the use of a structured handoff tool for outpatient communication, personalized access plans, inpatient team follow-up with family after discharge, and the use of discharge checklists. Children's hospitals vary largely in care model structure and discharge services. Future work is needed to evaluate the associations between care models and discharge services for CMC with various health care outcomes.

Strategies to Assess and Manage Frailty among Patients Diagnosed with Primary Malignant Brain Tumors.

Frailty refers to a biologic process that results in reduced physiologic and functional reserve. Patients diagnosed with primary malignant brain tumors experience high symptom burden from tumor and tumor-directed treatments that, coupled with previous comorbidities, may contribute to frailty. Within the primary malignant brain tumor population, frailty is known to associate with mortality, higher healthcare utilization, and increased risk of postoperative complications. As such, methods to assess and manage frailty are paramount. However, there is currently no clear consensus on how to best assess and manage frailty throughout the entirety of the disease trajectory. Given the association between frailty and health outcomes, more research is needed to determine best practice protocols for the assessment and management of frailty among patients diagnosed with primary malignant brain tumors.

Comparison of Acute Health Care Utilization Between Patients Receiving In-Center Hemodialysis and the General Population: A Population-Based Matched Cohort Study From Ontario, Canada.

Patients receiving maintenance hemodialysis have multiple comorbidities and are at high risk of presenting to the hospital. However, the incidence and cost of acute health care utilization in the in-center hemodialysis population and how this compares with other populations is poorly understood. To determine the rate, pattern, and cost of emergency department visits and hospitalizations in patients receiving in-center hemodialysis compared with a matched general population. Population-based matched cohort study. We used linked administrative health care databases from Ontario, Canada. We included 25 379 patients (incident and prevalent) receiving in-center hemodialysis between January 1, 2010, and December 31, 2018. Patients were matched on birth date (±2 years), sex, and cohort entry date using a 1:4 ratio to 101 516 individuals from the general population. Our primary outcomes were emergency department visits (allowing for multiple visits per individual) and hospital admissions from the emergency department. We also assessed all-cause hospitalizations, all-cause readmissions within 30 days of discharge from the original hospitalization, length of stay for hospital admissions (including multiple visits per individual), and the financial cost of these admissions. We presented the rate, percentage, median (25th, 75th percentiles), and incidence rate per 1000 person-years for emergency department visits and hospitalizations. Individual-level health care costs for emergency department visits and all-cause hospitalization were estimated using resource intensity weights multiplied by the cost per weighted case. Patients receiving in-center hemodialysis had substantially more comorbidities (eg, diabetes) than the matched general population. Eighty percent (n = 20 309) of patients receiving in-center hemodialysis had at least 1 emergency department visit compared with 56% (n = 56 452) of individuals in the matched general population, over a median follow-up of 1.8 years (25th, 75th percentiles: 0.7, 3.6) and 5.2 (2.5, 8.4) years, respectively. The incidence rate of emergency department visits, allowing for multiple visits per individual, was 2274 per 1000 person-years (95% confidence interval [CI]: 2263, 2286) for patients receiving in-center hemodialysis, which was almost 5 times as high as the matched general population (471 per 1000 person-years; 95% CI: 469, 473). The rate of hospital admissions from the emergency department and the rate of all-cause hospital admissions in the in-center hemodialysis population was more than 7 times as high as the matched general population (hospital admissions from the emergency department: 786 vs 101 per 1000 person-years; all-cause hospital admissions: 1056 vs 139 per 1000 person-years). The median number of all-cause hospitalization days per patient year was 4.0 (0, 16.5) in the in-center hemodialysis population compared with 0 (0, 0.5) in the matched general population. The cost per patient-year for emergency department visits in the in-center hemodialysis population was approximately 5.5 times as high as the matched general population while the cost of hospitalizations in the in-center hemodialysis population was approximately 11 times as high as the matched general population (emergency department visits: CAN$ 1153 vs CAN$ 209; hospitalizations: CAN$ 21 151 vs CAN$ 1873 [all costs in 2023 CAN$]). External generalizability and we could not determine whether emergency department visits and hospitalizations were preventable. Patients receiving in-center hemodialysis have high acute health care utilization. These results improve our understanding of the burden of disease and the associated costs in the in-center hemodialysis population, highlight the need to improve acute outcomes, and can aid health care capacity planning. Additional research is needed to address the risk of hospitalization after controlling for patient comorbidities. This is not applicable as this is a population-based matched cohort study and not a clinical trial.

Clusters of medical specialities around patients with multimorbidity – employing fuzzy c-means clustering to explore multidisciplinary collaboration.

Background: The increasing prevalence of multimorbidity challenges hospital care organization. Hospital care is structured around medical specialties and focused on separate treatment of individual organ systems. Consequently, patients with multimorbidity visit multiple healthcare professionals and have high healthcare utilization with a risk of interactions and contradictory treatments if multidisciplinary coordination is absent. Organizational structures for multidisciplinary collaboration between medical specialists in case of multimorbidity are, however, limited. To facilitate multidisciplinary, coordinated care and to prevent or minimize adverse health outcomes, it might be useful to organize hospital care around specific patterns of multimorbidity or medical specialties. Therefore, we hypothesized that the use of cluster analysis and real clinical data could be helpful to unravel groups of medical specialties who are simultaneously involved in hospital care for patients with multimorbidity. &#x0D; Method: We performed a cross-sectional cohort study and used retrospectively collected electronic health record (EHR) from a Dutch hospital in 2017. We extracted EHR data of 22,133 patients with multimorbidity aged ≥18 years who had received outpatient clinical care for two or more chronic and/ or oncological diagnosis. We used a fuzzy c-means clustering algorithm and explored the patients’ membership degree factors to each cluster to distinguish subgroups of patients with a specific pattern of involved medical specialties.&#x0D; Results: The mean age was 67.9 years (interquartile range (IQR):20.9), and 56.0% was female. We identified six clusters and 22 subgroups. The clusters were: 1. dermatology/ plastic surgery, 2. six specialties, 3. pulmonology, 4. internal medicine/ cardiology/ geriatrics, 5. neurology/ rehabilitation/ anesthesiology, and 6. internal medicine. Most patients had a full or dominant membership to one cluster only (11 subgroups) and the remaining subgroups were combinations of two clusters. The prevalence of specific diagnosis groups, patient characteristics and healthcare utilization seemed to differ between subgroups. For instance, patients of the subgroup with high involvement of internal medicine, cardiology and geriatrics; was characterized by cardiometabolic diseases. These patients had the highest average age (median:73 years, IQR:16.2), number of diagnoses (median:5, IQR:3), and number of outpatient visits (median:7, IQR:6). Patients of the subgroup with involvement of both the cardiologist and pulmonologist had lower number of diagnoses (median:3, IQR:1) and outpatient visits (median: 5:, IQR:4). This subgroup was mostly characterized by pulmonary and heart diseases, which can both represent with symptoms as dyspnea. Thus, the subgroups and their characteristics can provide clues about potential target populations that might benefit from (more) multidisciplinary collaboration, such as a formalization of a cardiometabolic or dyspnea outpatient clinic. &#x0D; Conclusion: Our study shows that it is possible to use fuzzy c-means cluster analysis and real clinical data to identify clinically relevant clusters and subgroups of medical specialties simultaneously involved in hospital care for patients with multimorbidity. With this strategy hospitals, healthcare professionals, and data scientists can further analyze which of these subgroups are target populations with multimorbidity that might benefit from improved multidisciplinary collaboration or new models of care.

HEALTH BEYOND DISEASE IN OLD AGE: RELATIONSHIP OF INTRINSIC CAPACITY WITH HEALTH CARE UTILIZATION

Abstract In contrast to the traditional disease-centered approach, intrinsic capacity (IC) is a fine-grained and comprehensive measure of overall health. It plays an essential role in the healthy aging model proposed by the World Health Organization. However, how IC contributes to healthcare utilization and medical expenditures beyond the presence of chronic conditions in old age is not well understood. Data were from the China Health and Retirement Longitudinal Study. We used a validated, multidimensional tool (locomotor, cognitive, psychological capacity, sensory capacity, and vitality) for assessing IC at baseline (Wave 2011). Outcomes include outpatient and inpatient use, and their expenditure measured in Wave 2013. We used logistic and linear regression models to identify the association of IC with healthcare utilization, adjusting for demographics, lifestyles, and multi-morbidity (the presence 2+ out of 14 chronic conditions). We included 14,887 participants, and equally categorized them into three groups (low, intermediate, and high IC). Compared with those with a low IC, older adults with an intermediate level or high level of IC had a significant reduction of outpatient use (OR=0.80, 95% CI=0.72-0.90; OR=0.61, 95% CI=0.53-0.69) and inpatient use (OR=0.69, 95% CI=0.58-0.81; OR=0.58, 95% CI=0.49-0.70), after adjusting for demographics, lifestyles, and multi-morbidity. We did not find a significant association between IC and healthcare expenditure. Assessment of IC for older adults provides valuable information for healthcare use beyond chronic conditions. Assessment of IC in routine clinics may help screen for older adults with high healthcare utilization, which could optimize the allocation of healthcare resources and improve patient-centered care.

SOCIAL DETERMINANTS OF HEALTH RELATED TO GENREAL PHYSICIAN VISITS IN OLDER ADULTS LIVING WITH MULTIMORBIDITY

Abstract Multimorbidity- the presence of two or more chronic conditions- is a global concern and is commonly associated with aging. Multimorbidity results in diminished physical function, higher healthcare utilization, and increased mortality rates. To understand healthcare challenges and increase prevention and continuity of care among older adults living with multimorbidity, the social determinants of health (SDoH) affecting general physician visits need to be explored. This study aimed to examine SDoH associated with general physician visits among 50 years and older adults living with multimorbidity using cross-sectional data from the 2010 to 2018 National Health Interview Survey. The SDoH, including marital status, race/ethnicity, education, poverty-income ratio, employment, health insurance, and having a usual place for medical care, were explored using logistic regression. The outcome was at least one visit to the general doctor’s office, a clinic, or elsewhere in the last 12 months. Among 25,108 participants (mean age ± SD was 68.1±10.16 years, 55.5% female, with 2.7±0.95 average number of self-reported morbidities) adjusted analysis controlling for age, sex, and categories of comorbidities found that Hispanic (OR=0.78, 95%CI=0.66-0.91), living below the poverty level (OR=0.79, 95%CI=0.68-0.92), and uninsured (OR=0.52, 95%CI=0.42-0.63) had lower odds of having one or more physician visits. Being unemployed (OR=1.26, 95%CI=1.11-1.42) and having a usual place for medical care (OR=7.94, 95%CI=6.39-9.86) had higher odds of having one or more physician visits. The result suggested that SDoH should be considered to navigate targeted health programs and policies to improve prevention and management of multimorbidity as well as to promote health equity.

Social disparities and inequalities in healthcare access and expenditures among Iranians exposed to sulfur mustard: a national study using spatio-temporal analysis

Background Sulfur Mustard (SM) is a chemical warfare agent that has serious short-term and long-term effects on health. Thousands of Iranians were exposed to SM during the eight-year Iran-Iraq conflict and permanently injured while the socioeconomic imbalance in their healthcare utilization (HCU) and health expenditures remains. This study aims to describe the HCU of SM-exposed survivors in Iran from 2018 to 2021; identify high-risk areas; and apply an inequality analysis of utilization regarding the socioeconomic groups to reduce the gap by controlling crucial determinants.Methods From Oct 2018 to June 2021, the Veterans and Martyrs Affairs Foundation (VMAF) recorded 58,888 living war survivors with eye, lung, and skin ailments. After cleaning the dataset and removing junk codes, we defined 11 HCU-related variables and predicted the HCU for the upcoming years using Bayesian spatio-temporal models. We explored the association of individual-level HCU and determinants using a Zero-inflated Poisson (ZIP) model and also investigated the provincial hotspots using Local Moran’s I.ResultsWith ≥ 90% confidence, we discovered eleven HCU clusters in Iran. We discovered that the expected number of HCU 1) rises with increasing age, severity of complications in survivors' eyes and lungs, wealth index (WI), life expectancy (LE), and hospital beds ratio; and 2) decreases with growing skin complications, years of schooling (YOS), urbanization, number of hospital beds, length of stay (LOS) in bed, and bed occupancy rate (BOR). The concentration index (CInd) of HCU and associated costs in age and wealth groups were all positive, however, the signs of CInd values for HCU and total cost in YOS, urbanization, LOS, and Hospital beds ratio groups were not identical.ConclusionsWe observed a tendency of pro-rich inequity and also higher HCU and expenditures for the elderly population. Finally, health policies should tackle potential socioeconomic inequities to reduce HCU gaps in the SM-exposed population. Also, policymakers should allocate the resources according to the hotspots of HCU.

Healthcare resource utilization for chronic low back pain among high-utilizers

BACKGROUNDChronic low back pain is a leading cause of morbidity and is among the largest cost drivers for the healthcare system. Research on healthcare resource utilization of patients with low back pain who are not surgical candidates is limited, and few studies follow individuals who generate high healthcare costs over time. PURPOSEThis claims study aimed to identify patients with high-impact mechanical, chronic low back pain (CLBP), quantify their low back pain-related health resource utilization, and explore associated patient characteristics. We hypothesize that patients in the top quartile of healthcare resource utilization in the second year after initial diagnosis will continue to generate considerable back pain-related costs in subsequent years. STUDY DESIGN/SETTINGIBM MarketScan Research Databases from 2009-2019 were retrospectively analyzed. PATIENT SAMPLEAdults in the United States with an initial diagnosis of low back pain between 2010 and 2014 who did not have cancer, spine surgery, recent pregnancy, or inflammatory spine conditions, were identified using the International Classification of Diseases (ICD) and Current Procedural Terminology (CPT) codes. To ensure patients had chronic low back pain, it was required that individuals had additional claims with a low back pain diagnosis 6 to 12 and 12 to 24 months after initial diagnosis. OUTCOME MEASURESCost and utilization of inpatient visits, outpatient visits, emergency room visits, pharmacologic and nonpharmacologic treatment options and imaging for chronic low back pain. METHODSAnnual back pain-related costs and the use of pharmacologic and nonpharmacologic treatments for 5 years were analyzed. Logistic regression was utilized to identify factors associated with persistent high spending. RESULTSOf 16,917 individuals who met the criteria for chronic low back pain, 4,229 met the criteria for having high healthcare utilization, defined as being in the top quartile of back pain-related costs in the 12 to 24 months after their initial diagnosis. The mean and median back pain-related cost in the first year after an initial diagnosis was $7,112 (SD $9,670) and $4,405 (Q1 $2,147, Q3 $8,461). Mean and median back pain related costs in the second year were $11,989 (SD $20,316) and $5,935 (Q1 $3,892, Q3 $10,678). Costs continued to be incurred in years 3 to 5 at a reduced rate. The cumulative mean cost for back pain over the 5 years following the initial diagnosis was $31,459 (SD $39,545). The majority of costs were from outpatient services. Almost a quarter of the high utilizers remained in the top quartile of back pain-related costs during years 3 to 5 after the initial diagnosis, and another 19% remained in the top quartile for 2 of the 3 subsequent years. For these two groups combined (42%), the 5-year cumulative mean cost for back pain was $43,818 (SD $48,270). Patient characteristics associated with a higher likelihood of remaining as high utilizers were diabetes, having a greater number of outpatient visits and pharmacologic prescriptions, and lower utilization of imaging services. CONCLUSIONThis is one of the first studies to use an administrative claims database to identify high healthcare resource utilizers among a population of United States individuals with nonsurgical, chronic low back pain and follow their utilization over time. There was a population of individuals who continued to experience high costs 5 years beyond their initial diagnosis, and the majority of individuals continued to seek outpatient services. Further longitudinal claims research that incorporates symptom severity is needed to understand the economic implications of this condition.