Utilization Of Inpatient Services Research Articles

Pediatric Attention-Deficit/Hypearativity Disorder and Disruptive Mood Dysregulation Disorder: Analyzing National Treatment Trends.

This study investigated how a disruptive mood dysregulation disorder (DMDD) diagnosis infleunces treatment selection and sequencing in children with attention-deficit/hyperactivity disorder (ADHD). This multicenter, population-based, retrospective cohort study analyzed data from TriNetX Research Network (June 2013 through July 2024). Youth with ADHD (without DMDD) formed the control cohort (n=631,295). Youth with ADHD+DMDD (n=24,723) formed the study cohort. Odds ratios (ORs) and relative risks were calculated to analyze associations. Compared with controls, ADHD+DMDD cohort was more likely to be composed of non-Hispanic ethnicity and exhibited higher rates of psychiatric comorbidities, inpatient and emergency service utilization, and billed psychotherapy (ORs range 1.25-6.95). Youth with ADHD+DMDD were more likely to receive ADHD medications (ORs range 1.55-4.80), as well as antidepressants, mood stabilizers, and antipsychotics (ORs range 5.05-13.16). Hispanic youth with DMDD utilized more psychotropics but less psychotherapy, while White youth used all services more. Before the use of non-ADHD medications for aggression, only 25% of ADHD+DMDD youth had a therapy code, and around 11% showed evidence of optimization of ADHD medication. After a DMDD diagnosis, treatment rates for other psychotropics increased more than those for central nervous system stimulants. In youth with ADHD, a DMDD diagnosis is associated with increases in the spectrum of pharmacological and nonpharmacological treatments deployed with patterns varying by race and ethnicity. Antipsychotic and mood stabilizer prescriptions increased most prominently, often before receiving psychotherapy services or efforts to optimize ADHD medication. Future research should address disparities in DMDD treatment patterns and identify the optimal treatment sequences for DMDD.

Preoperative Acute Depressive Episodes are Associated with Increased Medication Prescribing and Inpatient Services Following Primary Arthroscopic Rotator Cuff Repair.

The purpose of this study is to compare postoperative healthcare utilization, prescriptions, and shoulder surgery between patients with an acute depressive episode (ADE) and those without an acute depressive episode (NADE) within 3 months before arthroscopic rotator cuff repair. Diagnostic and procedural codes were used to identify patients in the TriNetX Research Network at least 18 years of age and underwent arthroscopic rotator cuff repair between January 2010 and November 2021. Patients with a previous rotator cuff repair or diagnosis of recurrent major depressive disorder were excluded. Patients were stratified into ADE and NADE cohorts and propensity matched. Outcomes were measured by healthcare utilization and medication prescribing up to 3 months and incidence of future shoulder surgery up to 2 years postoperatively. After propensity matching, the ADE cohort included 1,514 patients and were compared to 1,514 patients in the NADE cohort. Preoperative characteristics were similar including female sex (62.1 % and 63.0% respectively, P = 0.599). A greater percentage of the ADE cohort received inpatient services within 3 months (4.5% vs 3.0%, OR 1.54; CI 1.05-2.25, P = 0.027) following surgery. Patients with ADE were prescribed a greater percentage of antidepressants (32.8% vs 24.4%, OR 1.51, 95% CI 1.29-1.77, P < 0.0001), sedatives (25.2% vs 20.5%, OR 1.31, CI 1.11-1.55, P = 0.002), and opioid analgesics (63.4% vs 55.7%, OR 1.38 CI 1.19-1.59) P < 0.0001) within 3 months. Within 2 years, incidence of future surgery were similar for arthroscopy (7.9% vs 7.3%) and arthroplasty (2.2% vs 1.6%). Acute depressive episodes prior to primary arthroscopic rotator cuff repair are associated with increased utilization of inpatient services and postoperative analgesic prescriptions. Incidence of future shoulder surgery for arthroscopy and arthroplasty was similar between patients with or without ADEs.

Inpatient service utilization amongst infants diagnosed with Respiratory Syncytial Virus infection (RSV) in the United States.

Respiratory syncytial virus (RSV) is the leading cause of hospitalization among US infants. Characterizing service utilization during infant RSV hospitalizations may provide important information for prioritizing resources and interventions. The objective of this study was to describe the procedures and services received by infants hospitalized during their first RSV episode in their first RSV season, in addition to what proportion of infants died during this hospitalization. In this retrospective observational study, we analyzed three different administrative claims datasets to examine healthcare service utilization during RSV hospitalizations among infants. The study population included infants born between July 2016 and February 2020 who experienced an RSV episode during their first RSV season and had an associated inpatient hospitalization. We stratified infants into three comorbidity groups: healthy term, palivizumab-eligible, and other comorbidities. Outcomes included extracorporeal membrane oxygenation, supplemental oxygen use (in-hospital and post-discharge), mechanical ventilation (invasive and non-invasive), chest imaging, infant mortality, length of inpatient stay, intensive care unit (ICU) admission, and number of days in the ICU. Chest imaging was the most frequently administered procedure during RSV-associated hospitalizations, with approximately 34-38% of infants receiving it. Around one-quarter of infants were admitted to the ICU during their first RSV hospitalization. Median lengths of stay in the hospital were 3-4 days, extending to 4-6 days in the presence of ICU admission. Palivizumab-eligible infants had higher utilization of healthcare services and spent more time in the hospital or ICU compared to healthy infants or those with other comorbidities. This study provides insights into the utilization of healthcare services during RSV hospitalizations among infants. Understanding service utilization patterns can aid in improved management and resource allocation for infants in the United States, ultimately contributing to better outcomes and reduced healthcare costs overall. However, likely under-ascertainment of ventilation and oxygen-related services in insurance claims remains an impediment to studying these outcomes.

Exploring correlates of high psychiatric inpatient utilization in Switzerland: a descriptive and machine learning analysis

Abstract Background This study investigated socio-demographic, psychiatric, and psychological characteristics of patients with high versus low utilization of psychiatric inpatient services. Our objective was to better understand the utilization pattern and to contribute to improving psychiatric care. Methods One-hundred and twenty inpatients of the University Psychiatric Clinics (UPK) Basel, Switzerland, participated in this cross-sectional study. All patients were interviewed using different clinical scales. As target variables we investigated the number of days of psychiatric inpatient treatment within a 30-month period. Results Despite including multiple relevant patient variables and using elaborate statistical models (classic univariate und multiple regression, LASSO regression, and non-linear random forest models), the selected variables explained only a small percentage of variance in the number of days of psychiatric inpatient treatment with cross-validated R2 values ranging from 0.16 to 0.22. The number of unmet needs of patients turned out to be a meaningful and hence potentially clinically relevant correlate of the number of days of psychiatric inpatient treatment in each of the applied statistical models. Conclusions High utilization behavior remains a complex phenomenon, which can only partly be explained by psychiatric, psychological, or social/demographic characteristics. Self-reported unmet patient needs seems to be a promising variable which may be targeted by further research in order to potentially reduce unnecessary hospitalizations or develop better tailored psychiatric treatments.

Area deprivation index impact on type 2 diabetes outcomes in a regional health plan.

Rates of attainment of high-quality diabetes care have been shown to be lower for those living in more disadvantaged and rural areas. Diabetes management relies on access to care and is impacted by physical, social, and economic factors. Area deprivation index (ADI) is one way to quantify geographic disparities in aggregate. We aimed to investigate how ADI impacts outcomes in members with type 2 diabetes enrolled in a large, regional health plan. To evalute clinical and economic objectives. Clinical objectives included the percentage of members who achieved hemoglobin A1c (A1c) goal level of 7% or less, the percentage of members who received comorbidity-focused therapies, noninsulin diabetes medication adherence, and the frequency and type of health care services used. Economic outcomes included per member per month differences in total cost of care, pharmacy cost, medical cost, and diabetes-associated cost. This retrospective review of pharmacy and medical claims included 8,814 adult members with newly diagnosed type 2 diabetes enrolled in an integrated health plan during calendar year 2021. To be included, members were required to be at least 18 years of age, reside in Pennsylvania, and have continuous enrollment for 2 years prior to type 2 diabetes diagnosis. State-level ADI data were derived for each member and applied to the Census block group on file in the administrative claims data. The study population deciles were grouped into ADI quintiles for analysis. Multivariable regression models and descriptive statistics were used to evaluate the association between ADI and outcomes while controlling for confounding variables. There were no statistically significant differences between any ADI quintile for achievement of A1c goal or receipt of comorbidity-focused therapy. Significant differences were identified between ADI quintiles 1 (least deprived) and 5 (most deprived) for obtainment of at least 1 A1c test during calendar year 2021 (72% vs 56%, P < 0.01) and adherence to noninsulin diabetes medications (70% vs 62%, P < 0.01). Significant differences were also identified for all-cause inpatient, outpatient, and unplanned health care service utilization. The difference in per member per month all-cause total cost of care was on average $363.50 less for those living in ADI quintile 1 vs those in quintile 5 (P < 0.01). Significant differences were identified between ADI quintiles 1 and 5 for noninsulin diabetes medication adherence, frequency of A1c test claims, all-cause health care service utilization, and total cost of care. There were no statistically significant differences between ADI quintiles for achievement of A1c goal or receipt of comorbidity-focused therapies.

A Chinese conundrum: Does higher insurance coverage for hospitalisation reduce financial protection for the patients who most need it?

This paper evaluates the relationship between the degree of cost-sharing and the utilization of outpatient and inpatient health services in China. Using data from the 2015 China Health and Retirement Longitudinal Study (CHARLS), we estimated the association between outpatient and inpatient service utilization and cost-sharing levels associated with outpatient and inpatient services, as well as a comparative metric that quantifies the relative cost-sharing burden between the two. We found that patients in areas with higher levels of cost-sharing for outpatient services exhibit a lower propensity to use outpatient care and a higher inclination to utilize costly hospitalisation services. Conversely, as the ratio of cost-sharing for outpatient services to that for inpatient services increases, the likelihood of patients forgoing doctor-initiated hospitalisation correspondingly increases. This suggests that when cost-sharing for outpatient care rises relative to inpatient care, observed increases in inpatient care utilization reflect an escalation in moral hazard rather than a correction for the underutilization of inpatient services. We conclude that both substitution and complementary roles exist between outpatient and inpatient services. Our findings suggest that a more effective design of cost-sharing is needed to enhance the equity and efficiency of China's health system.

Emergency department visits, inpatient hospitalizations, and non-fatal and fatal drug overdoses during COVID-19 among Veterans with opioid use disorder.

The COVID-19 pandemic had dramatic adverse impacts on people with opioid use disorder (OUD), as evidenced by significant disruptions to care and unprecedented increases in drug overdoses. In this study, we evaluated the impacts of COVID-19 on utilization of emergency and inpatient care, and fatal and non-fatal overdoses among veterans with OUD. We used Veterans Health Administration (VHA) electronic medical record and mortality data to compare emergency department (ED) visits, inpatient hospitalizations, and fatal and non-fatal overdoses between a pandemic-exposed cohort of veterans with OUD observed both pre- and post-pandemic onset (n = 53,803; observed January 2019-March 2021) to a matched pre-pandemic control group (n = 53,803; observed October 2017-December 2019). Compared to pre-pandemic trends, there were significant decreases in the odds of ED and inpatient admissions and total number of ED and inpatient admissions during COVID-19. There was a significant decrease in the odds of having a recorded non-fatal overdose. The odds of overdose death increased during the pandemic compared to pre-pandemic trends. We observed significant decreases in the utilization of ED and inpatient care services, and fewer non-fatal overdoses, post-pandemic onset. Healthcare disruptions limiting access to emergency and inpatient care could account for the lower number of recorded non-fatal overdoses, potentially reflecting an underestimate of risk. In contrast, fatal overdoses increased during the pandemic compared to pre-pandemic trends. Lower utilization of emergency and inpatient care, and higher rates of fatal overdoses during the pandemic, suggest an exacerbation of unmet treatment need post-pandemic onset.

Comorbidity Patterns in Chronic Obstructive Pulmonary Disease and Their Associations with Service Utilization

Background The prevalence of combinations of comorbidities and their associations with inpatient service utilization and readmission among patients with chronic obstructive pulmonary disease (COPD) have not been extensively examined. To address this gap in knowledge, an observational prospective study was conducted using retrospective data. Aims To identify patterns of comorbidities linked to length of hospital stay, daily expenses, and one-year readmission. Methods The 30 most common comorbidities were identified in patients with secondary diagnoses using the association rule mining (ARM) method. Regression models were used to examine the relationships between combinations of comorbidities and service utilization, with adjustments for covariates. Results The five most prevalent comorbidities were pulmonary heart disease (40.99%), ischemic heart disease (38.97%), heart failure (36.77%), hypertension (34.11%), and respiratory disorders (19.12%). Most combinations of comorbidities identified by ARM showed significant associations with an extended length of stay (>13 days), increased daily expenses (>930 CNY), and reduced readmission rates. Among these combinations, glycoprotein metabolism disorder had the strongest association with prolonged length of stay (adjusted odds ratio [aOR]): 1.89, 95% confidence interval [CI]: 1.82–1.95). Conversely, the combination of other brain diseases and respiratory failure was linked to higher daily expenses (aOR: 11.34, 95% CI: 10.58–12.15), and the presence of pulmonary heart disease was associated with elevated one-year readmission rates (aOR: 1.41, 95% CI: 1.37–1.46). Conclusion Common combinations of comorbidities among inpatients with COPD were identified from an extensive collection of discharge medical records. Furthermore, the associations between comorbidities, inpatient service usage, and readmission rates were determined.

Predictors of Outpatient and Inpatient Service Utilization Among Publicly-Insured Youth With Eating Disorders.

Although eating disorders (EDs) affect youth from all socioeconomic backgrounds, little is known about the treatment experiences of under-resourced youth with EDs. To address this gap, we examined patterns of outpatient and inpatient service utilization among publicly-insured youth with EDs in California and potential disparities for youth with additional marginalized identities. Participants were identified from the full sample of California Medicaid/Medi-Cal beneficiaries aged 7-18 with ≥ 1 service episode between January 1, 2014 and December 31, 2016. Claims data were extracted for youth with a full year of claims after the first known ED diagnosis (N = 3311) to analyze outpatient mental health, outpatient medical/physical, inpatient mental health, and inpatient medical/physical service use across ED diagnosis and demographic characteristics (sex, age, race/ethnicity, and preferred language). Outpatient individual and family therapy service utilization was low across ED diagnoses (4-7 individual therapy sessions and ≈5 family therapy sessions annually). Conversely, hospitalization rates were high, particularly among youth with anorexia nervosa (27.8%) and bulimia nervosa (30.0%). Youth with other specified feeding or ED had high medical service utilization, with more days of outpatient medical care and greater odds of medical hospitalization than youth with all other diagnoses. Latinx youth, Black youth, and boys tended to receive fewer services after accounting for diagnosis, with disparities particularly pronounced for Latinx youth. Publicly-insured youth with EDs in California experience high hospitalization rates but receive limited outpatient therapy. Additional research is needed to identify possible unmet needs and factors contributing to treatment disparities among these youth.

Utilization of Rehabilitation Services and Rehabilitation-Related Patient Satisfaction Following Total Knee Arthroplasty-Results of the Prospective FInGK Study.

(1) Background: This study aims to examine rehabilitation service utilization among total knee arthroplasty (TKA) subjects and the influencing factors associated with rehabilitation-related satisfaction. (2) Methods: The FInGK study was a single-center prospective cohort study. Patients (≥18 years) undergoing primary or revision TKA in a German university hospital were consecutively recruited between December 2019-May 2021. The subjects filled in a questionnaire one day before surgery (t0) and at two (t1) and 12 (t2) months postoperatively. Multivariable logistic regression was conducted to determine the variables associated with the subjects' rehabilitation-related satisfaction. (3) Results: A total of 236 out of 241 (97.9%) subjects participated in t1 (59.3% female; mean age: 68.2 years). Overall, 94.7% underwent post-TKA rehabilitation measures, with inpatient rehabilitation being the predominant choice (85.4%). In total, 77.6% of those with rehabilitation were satisfied or very satisfied with their rehabilitation in general. Multivariable logistic regression showed that female sex (OR 3.42; CI 1.73-6.75) and satisfaction with the surgery in general after two months (OR 4.50; CI 1.96-10.33) were associated with the subjects' rehabilitation-related satisfaction. (4) Conclusions: We found a high utilization of rehabilitation services following TKA and a high rehabilitation-related satisfaction. In international comparison, the utilization of inpatient rehabilitation services was very high. Future research should investigate the effective components for rehabilitation-related satisfaction in both in- and outpatient TKA rehabilitation.

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.

Does outpatient mutual-aid reduce oncology patients' utilization of inpatient services?-An empirical study of outpatient mutual-aid policy in Wuhan, China.

The escalating costs of healthcare had prompted countries to undertake reforms, and in recent years China had focused on overhauling its outpatient healthcare system. China implemented the outpatient mutual-aid policy which had led to a change in the costs associated with outpatient treatment from being fully self-paid by the patient to being partially self-paid. This study aimed to assess the impact of the outpatient mutual-aid policy on inpatient services for oncology patients in Wuhan, China, exploring the impact that the cumbersome administration of health insurance would have on patient welfare. 24,260 oncology patients of the health insurance reimbursement database in Wuhan spanning from January 2022 to July 2023 were included. After data processing, 12,985 patients were included in the control group and 11,275 patients were included in the experimental group. The regression discontinuity design was employed to assess the impact of the policy. The findings was that the implementation of the outpatient mutual-aid would result in a reduction of 1.2days in the length of stay for oncology patients, a decrease in hospital costs by 5%, and a decline in expenditure of the health insurance reimbursement funds by 5 per cent. Incorporating outpatient costs into reimbursement supplanted the utilization of inpatient services, enhanced the allocation of healthcare resources, and alleviated the financial burden on oncology patients. Furthermore, it highlighted the detrimental impact of eligibility review to verify that a patient meets the reimbursement requirements of the health insurance policy on patient welfare.

Reductions in inpatient and outpatient mental health care in germany during the first year of the COVID-19 pandemic – What can we learn for a better crisis preparedness?

Background: During the COVID-19 pandemic, reports from several European mental health care systems hinted at important changes in utilization. So far, no study examined changes in utilization in the German mental health care inpatient and outpatient mental health care system comprehensively. Methods: This longitudinal observational study used claims data from two major German statutory health insurances, AOK PLUS and BKK, covering 162,905 inpatients and 2,131,186 outpatients with mental disorders nationwide. We analyzed changes in inpatient and outpatient mental health service utilization over the course of the first two lockdown phases (LDPs) of the pandemic in 2020 compared to a pre-COVID-19 reference period dating from March 2019 to February 2020 using a time series forecast model. Results: We observed significant decreases in the number of inpatient hospital admissions by 24–28% compared to the reference period. Day clinic admissions were even further reduced by 44–61%. Length of stay was significantly decreased for day clinic care but not for inpatient care. In the outpatient sector, the data showed a significant reduction in the number of incident outpatient diagnoses. Conclusion: Indirect evidence regarding the consequences of the reductions in both the inpatient and outpatient sector of care described in this study is ambiguous and direct evidence on treatment outcomes and quality of trans-sectoral mental healthcare is sparse. In line with WHO and OECD we propose a comprehensive mental health system surveillance to prepare for a better oversight and thereby a better resilience during future global major disruptions.

Inequalities changes in health services utilization among middle-aged and older adult disabled people in China: based on CHARLS 2011-2018.

Multiple intersections, including socioeconomic inequalities, influence health equity for disabled people and sub-populations. However, this association has not been sufficiently analyzed among Chinese-impaired persons. This study aimed to investigate the health services utilization and inequalities in middle and older adult persons with disabilities and subgroups. The China Health and Retirement Longitudinal Study (CHARLS) database in 2011, 2013, 2015, and 2018 were used. Health services utilization was measured by outpatient, inpatient, and self-treatment service utilization. Types of disabilities were classified into six categories. The pooled cross-section regression, concentration index, horizontal inequity index, and concentration index decomposition were used to evaluate inequalities and explore their main contributing factor. The utilization and non-utilization of healthcare services showed variations across years (p < 0.05). The CIs and HIs for inpatient health service utilization were positive for all years and disability types. The total CIs of inpatient utilization were the highest (0.248). The highest disparities in utilization of inpatient services were for physical disabilities (0.4515 for CI in 2011), and the highest in self-treatment services were for intellectual disability (0.1538 for CI in 2011). The expenditure factor was the main contributor to inequalities. Chronic disease, educational level, and health insurance factors also contribute to the utilization inequalities. Policies should promote medical insurance and assistance for disabled people with serious impairment and poor. It is crucial to improve the provision of basic medical services, including meeting the demand for varied disabilities and the accessibility of facilities and equipment to enhance the access and well-being of people with disabilities.

Utilization of inpatient palliative care services in cardiac arrest complicating acute pulmonary embolism

IntroductionThe role of palliative care services in patients with cardiac arrest complicating acute pulmonary embolism has been infrequently studied. MethodsAll adult admissions with pulmonary embolism complicating cardiac arrest were identified using the National Inpatient Sample (2016–2020). The primary outcome of interest was the utilization of palliative care services. Secondary outcomes included predictors of palliative care utilization and its association of with in-hospital mortality, do-not-resuscitate status, discharge disposition, length of stay, and total hospital charges. Multivariable regression analysis was used to adjust for confounding. ResultsBetween 01/01/2016 and 12/31/2020, of the 7,320 admissions with pulmonary embolism complicating cardiac arrest, 1229 (16.8 %) received palliative care services. Admissions receiving palliative care were on average older (68.1 ± 0.9 vs. 63.2 ± 0.4 years) and with higher baseline comorbidity (Elixhauser index 6.3 ± 0.1 vs 5.6 ± 0.6) (all p < 0.001). Additionally, this cohort had higher rates of non-cardiac organ failure (respiratory, renal, hepatic, and neurological) and invasive mechanical ventilation (all p < 0.05). Catheter-directed therapy was used less frequently in the cohort receiving palliative care, (2.8 % vs 7.9 %; p < 0.001) whereas the rates of systemic thrombolysis, mechanical and surgical thrombectomy were comparable. The cohort receiving palliative care services had higher in-hospital mortality (85.7 % vs. 69.1 %; adjusted odds ratio 2.20 [95 % CI 1.41–3.42]; p < 0.001). This cohort also had higher rates of do-not-resuscitate status and fewer discharges to home, but comparable hospitalization costs and length of hospital stay. ConclusionsPalliative care services are used in only 16.8 % of admissions with cardiac arrest complicating pulmonary embolism with significant differences in the populations, suggestive of selective consultation.

The impact of long-term care insurance on the utilization of inpatient service: Evidence and mechanisms in China.

This paper empirically investigates the impact of public long-term care insurance (LTCI) on the utilization of inpatient services and associated expenditures among disabled Chinese individuals, using data from the China Health and Retirement Longitudinal Study from 2011 to 2018. Employing a staggered difference-in-difference approach within a propensity score matching framework (PSM-DID), the study finds that the introduction of LTCI significantly reduces the likelihood of inpatient service usage by 4.2%, the annual number of inpatient admissions by 10.2%, the annual inpatient cost by 16.2%, the out-of-pocket expenses by 20.7%, and the reimbursement expenditure by the public medical insurer by 9.9%. The study further explores the mechanisms underlying these effects and identifies that the Substitution Effect, where care services in community healthcare centers and nursing homes replace hospitalizations, outweighs the Income Effect generated by LTCI benefits. By leveraging the quasi-natural experimental setting of diverse LTCI policies across cities, the study also examines the heterogeneous impacts of LTCI based on household income, eligibility criteria, and reimbursement methods. The findings underscore the positive role of LTCI in controlling medical expenses and alleviating congestion in urban hospitals, offering valuable insights for promoting "Healthy Aging".

Non-communicable comorbidities in pulmonary tuberculosis and healthcare utilization: a cross-sectional study of 2021 Indonesian national health insurance data

BackgroundLimited research exists on the comorbidity of pulmonary tuberculosis with non-communicable diseases (NCDs) and its implications for healthcare utilization in Indonesia. The lack of investigation into NCD comorbidity among pulmonary tuberculosis patients could adversely affect both the healthcare system and the national health insurance scheme. Understanding the NCD comorbidity among pulmonary tuberculosis patients, associated factors, and healthcare utilization is crucial for ensuring the effective and efficient delivery of health services.MethodThis study utilized an observational cross-sectional design based on anonymized sample data from tuberculosis cases covered by Indonesia's National Health Insurance in 2021. Chi-square tests were employed to analyze dependent and independent variables, while unadjusted and adjusted logistic regressions were used to explore further associations.ResultsThe prevalence of NCD comorbidity in tuberculosis patients was 11.81%. Aged over 60 (aOR 5.16; [CI] 4.23—6.3), married (aOR 1.19; [CI] 1.05—1.34), and unemployed (aOR 1.27; [CI] 1.08—1.49) were associated with the NCD comorbidity in pulmonary tuberculosis patients. Factors associated with increased inpatient service utilization among pulmonary tuberculosis patients included aged over 60 (aOR 5.69; [CI] 4.81—6.74), male (aOR 1.32; [CI] 1.23—1.40), self-employment (aOR 1.42; [CI] 1.29—1.56), having insurance subsidized by central government (aOR 1.89; [CI] 1.73—2.08) or local government funds (aOR 1.75; [CI] 1.58—1.93), and having comorbidity non-communicable diseases (aOR 1.80; [CI] 1.66—1.96).ConclusionPulmonary tuberculosis patients exhibit a significant prevalence of NCD comorbidity, which substantially impacts healthcare utilization. Early detection and management of these conditions are critical to mitigate burdens on both the healthcare system and the financial sustainability of the national health insurance scheme. Integrating health services for tuberculosis and NCDs through bidirectional screening is essential for comprehensive patient care.

Effect of Health Insurance on Inpatient Health Service Utilization among Households Affected by Non-Communicable Diseases in Busia County, Kenya

Background: Non-Communicable Diseases (NCDs) are increasingly becoming important agents of illness and premature deaths globally, killing up to 41 million people annually, most of which occur in LMICs. In Kenya, major NCDs are cardio-vascular diseases, chronic respiratory diseases, cancers and diabetes. They account for 50% of all inpatient morbidities and 39% of all hospital mortalities. Patients afflicted with NCDs go through expensive treatment regiments, restraining them from utilizing available care. NCDs deepen inequality and are major drivers of unending poverty. World leaders resolved to deal with the devastating consequences of NCDs as a developmental challenge under SDGs. Kenya successively reformed its National Health Insurer to include a package that address the blight of NCDs and transform it into a primary enabler for achieving UHC. There is however, evidence suggesting that enrolment in health insurance (HI) does not necessarily guarantee inpatient utilization of NCDs care. This study examined the effect of HI on inpatient health service utilization among households with NCDs. Methods: A quasi experimental design was conducted among eligible households with HI cover and those without, involving a representative sample of 350 households. Interviewers conducted interviews at baseline and after one year among household heads. Results: Utilization of Inpatient NCDs care improved 1.256 (95% CI= 0.965-1.634), times more among insured households, (P=0.04). Conclusion: HI improves inpatient utilization of NCDs care. To accelerate progress towards UHC, national government should expand HI program to all counties, improve awareness of cover package entitlements and remove payment preconditions for inpatient procedures. County government to ensure health systems at primary level are well equipped to tackle inpatient NCDs care needs.

Socialization of The Use of BPJS for Services Inpatient Care at Pagar Jati Health Center Lubuk Pakam District

The national health insurance program is integrated into the Health Social Security Administering Body (BPJS Health). Through BPJS Health, the government is trying to ensure that all Indonesian citizens have fair and equitable access to quality health services without being constrained by costs. This program covers a variety of health services, from preventive services to treatment, with the hope of improving the welfare and health of the community as a whole. The JKN program is integrated into the Health Social Security Administering Agency (BPJS Health), a public legal entity that aims to administer the JKN program for all Indonesian people. This activity aims to provide health education about the use of BPJS for inpatient health services at the Pagar Jati Health Center. The method for carrying out activities is using observation sheets and questionnaires about the benefits of BPJS. From the results of the counseling provided, there was a significant increase in services, namely 86% compared to before the intervention was given. This indicates that the differences in the predisposing factors of BPJS patients significantly influence the utilization of inpatient services at the Pagar Jati Community Health Center. There is a significant influence on respondents' knowledge before and after being given counseling about the use of BPJS for inpatient services at the Pagar Jati Community Health Center, this can be seen from the percentage level knowledge before and after with a small percentage having insufficient knowledge. From the results of activities carried out by BPJS user patients, they were very enthusiastic about welcoming this activity. Through this activity, it is hoped that knowledge of the use of BPJS will increase so that you will no longer hesitate to use the BPJS card for inpatient health services at the Pagar Jati Community Health Center.

Real-World Assessment of Recommended COVID-19 Vaccination Waiting Period after Chemotherapy.

There is a knowledge gap concerning the proper timing for COVID-19 vaccination in cancer patients undergoing chemotherapy. We aimed to evaluate the suitability of the guidelines that recommend waiting at least three months after undergoing chemotherapy before receiving a COVID-19 vaccine. This retrospective cohort study used aggregated data from the TriNetX US Collaboratory network. Participants were grouped into two groups based on the interval between chemotherapy and vaccination. The primary outcome assessed was infection risks, including COVID-19; skin, intra-abdominal, and urinary tract infections; pneumonia; and sepsis. Secondary measures included healthcare utilization and all causes of mortality. Kaplan-Meier analysis and the Cox proportional hazard model were used to calculate the cumulative incidence and hazard ratio (HR) and 95% confidence intervals for the outcomes. The proportional hazard assumption was tested with the generalized Schoenfeld approach. Four subgroup analyses (cancer type, vaccine brand, sex, age) were conducted. Sensitivity analyses were performed to account for competing risks and explore three distinct time intervals. Patients receiving a vaccine within three months after chemotherapy had a higher risk of COVID-19 infection (HR: 1.428, 95% CI: 1.035-1.970), urinary tract infection (HR: 1.477, 95% CI: 1.083-2.014), and sepsis (HR: 1.854, 95% CI: 1.091-3.152) compared to those who adhered to the recommendations. Hospital inpatient service utilization risk was also significantly elevated for the within three months group (HR: 1.692, 95% CI: 1.354-2.115). Adhering to a three-month post-chemotherapy waiting period reduces infection and healthcare utilization risks for cancer patients receiving a COVID-19 vaccine.