Practice variation in surgical treatment for lumbar degenerative disc disease: exploring regional and hospital factors influencing surgical rates.

The presence of significant, unwarranted variation in treatment suggests that clinical decision making also depends on where patients live instead of what they need and prefer. Historically, high practice variation in surgical treatment for lumbar degenerative disc disease (LDDD) has been documented. This study aimed to investigate current regional variation in surgical treatment for sciatica resulting from LDDD. We conducted a retrospective, cross-sectional analysis of all Dutch adults (>18 years) between 2016 and 2019. Demographic data from Statistics Netherlands were merged with a nationwide claims database, covering over 99% of the population. Inclusion criteria comprised LDDD diagnosis codes and relevant surgical codes. Practice variation was assessed at the level of postal code areas and hospital service areas (HSAs). Multivariable logistic regression analysis was employed to identify variables associated with surgical treatment. Among the 119,148 hospital visitors with LDDD, 14,840 underwent surgical treatment. Practice variation for laminectomies and discectomies showed less than two-fold variation in both postal code and HSAs. However, instrumented fusion surgery demonstrated a five-fold variation in postal code areas and three-fold variation in HSAs. Predictors of receiving surgical treatment included opioid prescription and patient referral status. Gender differences were observed, with males more likely to undergo laminectomy or discectomy, and females more likely to receive instrumented fusion surgery. Our study revealed low variation rates for discectomies and laminectomies, while indicating a high variation rate for instrumented fusion surgery in LDDD patients. High-quality research is needed on the extent of guideline implementation and its influence on practice variation.

Characteristics and outcomes of COVID-19 patients presumed to be treated with sotrovimab in NHS hospitals in England.

BACKGROUND: The impact of the constantly evolving severe acute respiratory syndrome coronavirus 2 on the effectiveness of early coronavirus disease 2019 (COVID-19) treatments is unclear. Here, we report characteristics and acute clinical outcomes of patients with COVID-19 treated with a monoclonal antibody (mAb; presumed to be sotrovimab) across six distinct periods covering the emergence and predominance of Omicron subvariants (BA.1, BA.2, and BA.5) in England. METHODS: Retrospective cohort study using data from the Hospital Episode Statistics database from January 1-July 31, 2022. Included patients received a mAb delivered by a National Health Service (NHS) hospital as a day-case, for which the primary diagnosis was COVID-19. Patients were presumed to have received sotrovimab based on NHS data showing that 99.98% of COVID-19-mAb-treated individuals received sotrovimab during the study period. COVID-19-attributable hospitalizations were reported overall and across six distinct periods of Omicron subvariant prevalence. Subgroup analyses were conducted in patients with severe renal disease and active cancer. RESULTS: Among a total of 10,096 patients, 1.0% (n = 96) had a COVID-19-attributable hospitalization, 4.6% (n = 465) had a hospital visit due to any cause, and 0.3% (n = 27) died due to any cause during the acute period. COVID-19-attributable hospitalization rates were consistent among subgroups, and no significant differences were observed across periods of Omicron subvariant predominance. CONCLUSIONS: Levels of COVID-19-attributable hospitalizations and deaths were low in mAb-treated patients and among subgroups. Similar hospitalization rates were observed whilst Omicron BA.1, BA.2, and BA.5 were predominant, despite reported reductions in in vitro neutralization activity of sotrovimab against BA.2 and BA.5.

Health Equity Adjustment and Hospital Performance in the Medicare Value-Based Purchasing Program.

Importance: Medicare's Hospital Value-Based Purchasing (HVBP) program will provide a health equity adjustment (HEA) to hospitals that have greater proportions of patients dually eligible for Medicare and Medicaid and that offer high-quality care beginning in fiscal year 2026. However, which hospitals will benefit most from this policy change and to what extent are unknown. Objective: To estimate potential changes in hospital performance after HEA and examine hospital patient mix, structural, and geographic characteristics associated with receipt of increased payments. Design, Setting, and Participants: This cross-sectional study analyzed all 2676 hospitals participating in the HVBP program in fiscal year 2021. Publicly available data on program performance and hospital characteristics were linked to Medicare claims data on all inpatient stays for dual-eligible beneficiaries at each hospital to calculate HEA points and HVBP payment adjustments. Exposures: Hospital Value-Based Purchasing program HEA. Main Outcomes and Measures: Reclassification of HVBP bonus or penalty status and changes in payment adjustments across hospital characteristics. Results: Of 2676 hospitals participating in the HVBP program in fiscal year 2021, 1470 (54.9%) received bonuses and 1206 (45.1%) received penalties. After HEA, 102 hospitals (6.9%) were reclassified from bonus to penalty status, whereas 119 (9.9%) were reclassified from penalty to bonus status. At the hospital level, mean (SD) HVBP payment adjustments decreased by $4534 ($90 033) after HEA, ranging from a maximum reduction of $1 014 276 to a maximum increase of $1 523 765. At the aggregate level, net-positive changes in payment adjustments were largest among safety net hospitals ($28 971 708) and those caring for a higher proportion of Black patients ($15 468 445). The likelihood of experiencing increases in payment adjustments was significantly higher among safety net compared with non-safety net hospitals (574 of 683 [84.0%] vs 709 of 1993 [35.6%]; adjusted rate ratio [ARR], 2.04 [95% CI, 1.89-2.20]) and high-proportion Black hospitals compared with non-high-proportion Black hospitals (396 of 523 [75.7%] vs 887 of 2153 [41.2%]; ARR, 1.40 [95% CI, 1.29-1.51]). Rural hospitals (374 of 612 [61.1%] vs 909 of 2064 [44.0%]; ARR, 1.44 [95% CI, 1.30-1.58]), as well as those located in the South (598 of 1040 [57.5%] vs 192 of 439 [43.7%]; ARR, 1.25 [95% CI, 1.10-1.42]) and in Medicaid expansion states (801 of 1651 [48.5%] vs 482 of 1025 [47.0%]; ARR, 1.16 [95% CI, 1.06-1.28]), were also more likely to experience increased payment adjustments after HEA compared with their urban, Northeastern, and Medicaid nonexpansion state counterparts, respectively. Conclusions and Relevance: Medicare's implementation of HEA in the HVBP program will significantly reclassify hospital performance and redistribute program payments, with safety net and high-proportion Black hospitals benefiting most from this policy change. These findings suggest that HEA is an important strategy to ensure that value-based payment programs are more equitable.

Measuring Equity in Readmission as a Distinct Assessment of Hospital Performance.

Importance: Equity is an essential domain of health care quality. The Centers for Medicare & Medicaid Services (CMS) developed 2 Disparity Methods that together assess equity in clinical outcomes. Objectives: To define a measure of equitable readmissions; identify hospitals with equitable readmissions by insurance (dual eligible vs non-dual eligible) or patient race (Black vs White); and compare hospitals with and without equitable readmissions by hospital characteristics and performance on accountability measures (quality, cost, and value). Design, Setting, and Participants: Cross-sectional study of US hospitals eligible for the CMS Hospital-Wide Readmission measure using Medicare data from July 2018 through June 2019. Main Outcomes and Measures: We created a definition of equitable readmissions using CMS Disparity Methods, which evaluate hospitals on 2 methods: outcomes for populations at risk for disparities (across-hospital method); and disparities in care within hospitals' patient populations (within-a-single-hospital method). Exposures: Hospital patient demographics; hospital characteristics; and 3 measures of hospital performance-quality, cost, and value (quality relative to cost). Results: Of 4638 hospitals, 74% served a sufficient number of dual-eligible patients, and 42% served a sufficient number of Black patients to apply CMS Disparity Methods by insurance and race. Of eligible hospitals, 17% had equitable readmission rates by insurance and 30% by race. Hospitals with equitable readmissions by insurance or race cared for a lower percentage of Black patients (insurance, 1.9% [IQR, 0.2%-8.8%] vs 3.3% [IQR, 0.7%-10.8%], P < .01; race, 7.6% [IQR, 3.2%-16.6%] vs 9.3% [IQR, 4.0%-19.0%], P = .01), and differed from nonequitable hospitals in multiple domains (teaching status, geography, size; P < .01). In examining equity by insurance, hospitals with low costs were more likely to have equitable readmissions (odds ratio, 1.57 [95% CI, 1.38-1.77), and there was no relationship between quality and value, and equity. In examining equity by race, hospitals with high overall quality were more likely to have equitable readmissions (odds ratio, 1.14 [95% CI, 1.03-1.26]), and there was no relationship between cost and value, and equity. Conclusion and Relevance: A minority of hospitals achieved equitable readmissions. Notably, hospitals with equitable readmissions were characteristically different from those without. For example, hospitals with equitable readmissions served fewer Black patients, reinforcing the role of structural racism in hospital-level inequities. Implementation of an equitable readmission measure must consider unequal distribution of at-risk patients among hospitals.

Quality of hospital care and clinical outcomes: a comparison between the Lombardy Region and the Italian national data.

Background: Improving the quality and effectiveness of healthcare is a key priority in health policy. The emergence of the COVID-19 pandemic has exerted considerable pressure on hospital networks, requiring unprecedented reorganization and restructuring actions. This study analyzed data from the Italian National Outcomes Program to compare some volumes and outcomes of public and private accredited hospitals in the Lombardy Region with national data. Study design: Observational study. Methods: A thorough examination of hospital outcomes between 2019 and 2021 was conducted, considering 45 volume indicators and 48 process and outcome indicators, comparing Lombardy with other Italian regions and public versus private accredited hospitals. Results: In 2020, Italy and Lombardy experienced a considerable reduction in overall hospital admissions, with Lombardy showing a deeper decline (21.3% compared with 16.0% in Italy). In 2021, both experienced a partial recovery, especially marked in the Lombardy region (+7.3%, compared with national data). Focusing specifically on the private sector in Lombardy, a recovery of +9.3% in hospitalization was observed. In the analysis of clinical outcomes, Lombardy outperformed the national average for 63% of the indicators in 2020 and 83.3% in 2021. Conclusions: The study shows the continuing decline in volumes compared to 2019 (pre-COVID), the excellent performance of hospitals in Lombardy and a relevant contribution for the volumes and the quality of outcomes of private accredited hospitals.

Racial disparities in low-risk cesarean birth rates across hospitals.

BACKGROUND: We compared low-risk cesarean birth rates for Black and White women across hospitals serving increasing proportions of Black women and identified hospitals where Black women had low-risk cesarean rates less than or equal to White women. METHODS: In this cross-sectional analysis of secondary data from four states, we categorized hospitals by their proportion of Black women giving birth from "low" to "high". We analyzed the odds of low-risk cesarean for Black and White women across hospital categories. RESULTS: Our sample comprised 493 hospitals and the 65,524 Black and 251,426 White women at low risk for cesarean who birthed in them. The mean low-risk cesarean rate was significantly higher for Black, compared with White, women in the low (20.1% vs. 15.9%) and medium (18.1% vs. 16.9%) hospital categories. In regression models, no hospital structural characteristics were significantly associated with the odds of a Black woman having a low-risk cesarean. For White women, birthing in a hospital serving the highest proportion of Black women was associated with a 21% (95% CI: 1.01-1.44) increase in the odds of having a low-risk cesarean. DISCUSSION: Black women had higher odds of a low-risk cesarean than White women and were more likely to access care in hospitals with higher low-risk cesarean rates. The existence of hospitals where low-risk cesarean rates for Black women were less than or equal to those of White women was notable, given a predominant focus on hospitals where Black women have poorer outcomes. Efforts to decrease the low-risk cesarean rate should focus on (1) improving intrapartum care for Black women and (2) identifying differentiating organizational factors in hospitals where cesarean birth rates are optimally low and equivalent among racial groups as a basis for system-level policy efforts to improve equity and reduce cesarean birth rates.

Disparities in Surgical Treatment of Resectable Pancreatic Adenocarcinoma at Minority Serving Hospitals.

INTRODUCTION: Minority serving hospitals (MSH) are those serving a disproportionally high number of minority patients. Previous research has demonstrated that treatment at MSH is associated with worse outcomes. We hypothesize that patients treated at MSH are less likely to undergo surgical resection of pancreatic adenocarcinoma compared to patients treated at non-MSH. METHODS: Patients with resectable pancreatic cancer were identified using the National Cancer Database. Institutions treating Black and Hispanic patients in the top decile were categorized as an MSH. Factors associated with the primary outcome of definitive surgical resection were evaluated using multivariable logistic regression. Univariate and multivariable survival analysis was performed. RESULTS: Of the 75,513 patients included in this study, 7.2% were treated at MSH. Patients treated at MSH were younger, more likely to be uninsured, and higher stage compared to those treated at non-MSH (P < 0.001). Patients treated at MSH underwent surgical resection at lower rates (MSH 40% versus non-MSH 44.5%, P < 0.001). On multivariable logistic regression, treatment at MSH was associated with decreased likelihood of undergoing definitive surgery (odds ratio 0.91, P = 0.006). Of those who underwent surgical resection, multivariable survival analysis revealed that treatment at an MSH was associated with increased morality (hazard ratio 1.12, P < 0.001). CONCLUSIONS: Patients with resectable pancreatic adenocarcinoma treated at MSH are less likely to undergo surgical resection compared to those treated at non-MSH. Targeted interventions are needed to address the unique barriers facing MSH facilities in providing care to patients with pancreatic adenocarcinoma.

Contaminação pelo Covid-19 em profissionais de hospital de referência no Pará / Contamination by Covid-19 in professionals of a reference hospital in Para's state / Contaminación por Covid-19 en profesionales de un hospital de referencia del estado de Pará

A pandemia do novo coronavírus colocou em alerta os sistemas de saúde, estabelecendo sentimentos de instabilidade e de medo. O trabalho é e importante pilar para o traçado de políticas públicas. Objetivo: analisar a contaminação pelo COVID-19 em profissionais de hospital de referência no Pará. Metodologia: Trata-se de estudo retrospectivo, quantitativo, observacional, com aplicação de série temporal no período de março de 2020 a março de 2022. Foram incluídos todos os servidores atuantes durante a pandemia, que apresentaram atestados médicos com diagnóstico de COVID, e/ou testagem positiva, ou atestados por suspeita de contaminação. O perfil de servidores foi analisado, explorando as variáveis sexo, idade, convivência ou não com parceiros, grau de escolaridade, cargo e setor; juntamente com a incidência de casos confirmados e incidência total (suspeitos e confirmados). Resultados: O total de afastamentos do trabalho devido ao diagnóstico de COVID-19 foi de 1.420 casos, mais 839 casos suspeitos; sendo que 173 trabalhadores apresentaram reincidência. A incidência foi maior nos meses de maio de 2020, março de 2021 e janeiro de 2022. Houve predominância do sexo feminino e da categoria de enfermagem. Setores administrativos e financeiros apresentaram maior porcentagem de contaminados durante a pandemia (73,40%), proporcionalmente ao quantitativo de servidores atuantes na lotação. Entretanto, foram servidores da assistência direta ao paciente que apresentaram maior porcentagem de reinfecção. Conclusão: Foi possível visualizar três ondas na distribuição temporal dos casos de COVID-19, com destaque para elevação nos primeiros meses de 2022. O declínio no diagnóstico de casos novos no hospital estudado após dois anos de pandemia pode representar esforços individuais e coletivos em resistir às dificuldades da conjuntura. É importante observar o comportamento da pandemia em distintas regiões do Brasil para atualização de estratégias de enfrentamento como um todo.

The new coronavirus pandemic has put health systems on alert, establishing feelings of instability and fear. Working is an important pillar for the design of public policies. Objective: to analyze the contamination by COVID-19 in professionals of a reference hospital in Para's State. Methodology: This is a retrospective, quantitative, observational study, with the application of a time series from March 2020 to March 2022. All civil servants working during the pandemic, who presented medical certificates with a diagnosis of COVID, and/or or positive test, or attestations for suspected contamination. The servants' profile was analyzed, exploring the variables sex, age, living or not with partners, education level, position and sector; along with the incidence of confirmed cases and total incidence (suspected and confirmed). Results: The total number of absences from work due to the diagnosis of COVID-19 was 1,420 cases, plus 839 suspected cases; 173 workers presented recurrence. The incidence was higher in the months of May 2020, March 2021 and January 2022. There was a predominance of females and the nursing category. Administrative and financial sectors had a higher percentage of people infected during the pandemic (73.40%), proportionally to the number of servers working in the capacity. However, it was direct patient care workers who had the highest percentage of reinfection. Conclusion: It was possible to visualize three waves in the temporal distribution of COVID-19 cases, with emphasis on an increase in the first months of 2022. The decline in the diagnosis of new cases in the hospital studied after two years of the pandemic may represent individual and collective efforts to resist to the difficulties of the situation. It is important to observe the behavior of the pandemic in different regions of Brazil to update coping strategies in a general scenery.

La nueva pandemia de coronavirus ha puesto en alerta a los sistemas de salud, estableciendo sentimientos de inestabilidad y miedo. El trabajo es un pilar importante para el diseño de políticas públicas. Objetivo: analizar la contaminación por COVID-19 en profesionales de un hospital de referencia en el Estado de Pará. Metodología: Se trata de un estudio retrospectivo, cuantitativo, observacional, con la aplicación de una serie de tiempo de marzo de 2020 a marzo de 2022. Todos los funcionarios que trabajaron durante la pandemia, que presentaron certificados médicos con diagnóstico de COVID, y/o o test positivo, o atestados por sospecha de contaminación. Se analizó el perfil de los funcionarios, explorando las variables sexo, edad, convivencia o no con la pareja, nivel de escolaridad, cargo y sector; junto con la incidencia de casos confirmados y la incidencia total (sospechosos y confirmados). Resultados: El número total de bajas laborales por diagnóstico de COVID-19 fue de 1.420 casos, más 839 casos sospechosos; 173 trabajadores presentaron recurrencia. La incidencia fue mayor en los meses de mayo de 2020, marzo de 2021 y enero de 2022. Hubo predominio del sexo femenino y de la categoría de enfermería. Los sectores administrativo y financiero presentaron mayor porcentaje de infectados durante la pandemia (73,40%), proporcionalmente al número de servidores que trabajaban en esa función. Sin embargo, fueron los trabajadores de atención directa al paciente los que presentaron el mayor porcentaje de reinfección. Conclusiones: Fue posible visualizar tres olas en la distribución temporal de los casos de COVID-19, destacándose un aumento en los primeros meses de 2022. La disminución en el diagnóstico de nuevos casos en el hospital estudiado después de dos años de pandemia puede representar esfuerzos individuales y colectivos para resistir a las dificultades de la situación. Es importante observar el comportamiento de la pandemia en diferentes regiones de Brasil para actualizar las estrategias de afrontamiento en un escenario general.

Hospital Characteristics Associated With Social Needs Activities in the US.

This study assesses what hospital characteristics, including hospital participation in payment and delivery reform, are associated with activities related to health-related social needs.

The Volume and Cost of Quality Metric Reporting.

Importance: US hospitals report data on many health care quality metrics to government and independent health care rating organizations, but the annual cost to acute care hospitals of measuring and reporting quality metric data, independent of resources spent on quality interventions, is not well known. Objective: To evaluate externally reported inpatient quality metrics for adult patients and estimate the cost of data collection and reporting, independent of quality-improvement efforts. Design, Setting, and Participants: Retrospective time-driven activity-based costing study at the Johns Hopkins Hospital (Baltimore, Maryland) with hospital personnel involved in quality metric reporting processes interviewed between January 1, 2019, and June 30, 2019, about quality reporting activities in the 2018 calendar year. Main Outcomes and Measures: Outcomes included the number of metrics, annual person-hours per metric type, and annual personnel cost per metric type. Results: A total of 162 unique metrics were identified, of which 96 (59.3%) were claims-based, 107 (66.0%) were outcome metrics, and 101 (62.3%) were related to patient safety. Preparing and reporting data for these metrics required an estimated 108 478 person-hours, with an estimated personnel cost of $5 038 218.28 (2022 USD) plus an additional $602 730.66 in vendor fees. Claims-based (96 metrics; $37 553.58 per metric per year) and chart-abstracted (26 metrics; $33 871.30 per metric per year) metrics used the most resources per metric, while electronic metrics consumed far less (4 metrics; $1901.58 per metric per year). Conclusions and Relevance: Significant resources are expended exclusively for quality reporting, and some methods of quality assessment are far more expensive than others. Claims-based metrics were unexpectedly found to be the most resource intensive of all metric types. Policy makers should consider reducing the number of metrics and shifting to electronic metrics, when possible, to optimize resources spent in the overall pursuit of higher quality.

Patient and provider factors predict non-surgical management for complex upper gastrointestinal cancers.

BACKGROUND: Surgery is the only potentially curative treatment for non-metastatic upper gastrointestinal cancers. We analyzed patient and provider characteristics associated with non-surgical management. METHODS: We queried the National Cancer Database for patients with upper gastrointestinal cancers from 2004 to 2018 who underwent surgery, refused surgery, or for whom surgery was contraindicated. Multivariate logistic regression identified factors associated with surgery being refused or contraindicated, and Kaplan-Meier curves assessed survival. RESULTS: We identified 249,813 patients based on our selection criteria-86.3% had surgery, 2.4% refused, and for 11.3%, surgery was contraindicated. Median overall survival was 48.2 months for patients who underwent surgery versus 16.3 and 9.4 months for the refusal and contraindicated groups. Medical and non-medical factors predicted both surgery refusals and contraindications, such as increasing age (odds ratio = 1.07 and 1.03, respectively, P < .001), Black race (odds ratio = 1.72 and 1.45, P < .001), comorbidities (Charlson-Deyo score 2+, odds ratio = 1.18 and 1.66, P < .001), low socioeconomic status (odds ratio = 1.70 and 1.40, P < .001), no health insurance (odds ratio = 3.26 and 2.34, P < .001), community cancer programs (odds ratio = 1.43 and 1.40, P < .001), low volume facilities (odds ratio = 1.82 and 1.52, P < .001), and stage 3 disease (odds ratio = 1.51 and 6.50, P < .001). On subset analysis (excluding patients age >70, Charlson-Deyo score 2+, and stage 3 cancer), non-medical predictors of both outcomes were similar. CONCLUSION: Refusal of and medical contraindications for surgery profoundly impact overall survival. The same factors (ie, race, socioeconomic status, hospital volume, and hospital type) predict these outcomes. These findings suggest variation and potential bias that may exist between physicians and patients discussing cancer surgery.

Surgical site infection surveillance in German hospitals: a national survey to determine the status quo of digitalization.

BACKGROUND: Surveillance of surgical site infections (SSI) relies on access to data from various sources. Insights into the practices of German hospitals conducting SSI surveillance and their information technology (IT) infrastructures are scarce. The aim of this study was to evaluate current SSI surveillance practices in German hospitals with a focus on employed IT infrastructures. METHODS: German surgical departments actively participating in the national SSI surveillance module "OP-KISS" were invited in August 2020 to participate in a questionnaire-based online survey. Depending on whether departments entered all data manually or used an existing feature to import denominator data into the national surveillance database, departments were separated into different groups. Selected survey questions differed between groups. RESULTS: Of 1,346 invited departments, 821 participated in the survey (response rate: 61%). Local IT deficits (n = 236), incompatibility of import specifications and hospital information system (n = 153) and lack of technical expertise (n = 145) were cited as the most frequent reasons for not using the denominator data import feature. Conversely, reduction of workload (n = 160) was named as the main motivation to import data. Questions on data availability and accessibility in the electronic hospital information system (HIS) and options to export data from the HIS for the purpose of surveillance, yielded diverse results. Departments utilizing the import feature tended to be from larger hospitals with a higher level of care. CONCLUSIONS: The degree to which digital solutions were employed for SSI surveillance differed considerably between surgical departments in Germany. Improving availability and accessibility of information in HIS and meeting interoperability standards will be prerequisites for increasing the amount of data exported directly from HIS to national databases and laying the foundation for automated SSI surveillance on a broad scale.

[Immobilization syndrome and iatrogenic dependence of hospitalized elderly people]. / Syndrome d'immobilisation et dépendance iatrogène des personnes âgées hospitalisées.

In the hospital, the geriatric missions of nurses and paramedical and medical teams are essential in order to benefit elderly patients and to fight against the immobilization syndrome through responsiveness and quality care. This care takes place in parallel with the specific medical care of the medical pathologies treated. In 2017, the High Authority for Health advocated good professional practices to avoid iatrogenic dependence of hospitalized elderly people. Through this article, we carry out a focus on the immobilization syndrome and its deleterious consequences: we must not do in the place of the elderly subject!

Prevalence and County-Level Distribution of Births in Catholic Hospitals in the US in 2020.

This study uses American Hospital Association data to examine the volume and distribution of births in Catholic US hospitals and quantify county-level patterns of Catholic and non-Catholic hospital births.

Pediatric Mental Health Hospitalizations at Acute Care Hospitals in the US, 2009-2019.

Importance: Approximately 1 in 6 youth in the US have a mental health condition, and suicide is a leading cause of death among this population. Recent national statistics describing acute care hospitalizations for mental health conditions are lacking. Objectives: To describe national trends in pediatric mental health hospitalizations between 2009 and 2019, to compare utilization among mental health and non-mental health hospitalizations, and to characterize variation in utilization across hospitals. Design, Setting, and Participants: Retrospective analysis of the 2009, 2012, 2016, and 2019 Kids' Inpatient Database, a nationally representative database of US acute care hospital discharges. Analysis included 4 767 840 weighted hospitalizations among children 3 to 17 years of age. Exposures: Hospitalizations with primary mental health diagnoses were identified using the Child and Adolescent Mental Health Disorders Classification System, which classified mental health diagnoses into 30 mutually exclusive disorder types. Main Outcomes and Measures: Measures included number and proportion of hospitalizations with a primary mental health diagnosis and with attempted suicide, suicidal ideation, or self-injury; number and proportion of hospital days and interfacility transfers attributable to mental health hospitalizations; mean lengths of stay (days) and transfer rates among mental health and non-mental health hospitalizations; and variation in these measures across hospitals. Results: Of 201 932 pediatric mental health hospitalizations in 2019, 123 342 (61.1% [95% CI, 60.3%-61.9%]) were in females, 100 038 (49.5% [95% CI, 48.3%-50.7%]) were in adolescents aged 15 to 17 years, and 103 456 (51.3% [95% CI, 48.6%-53.9%]) were covered by Medicaid. Between 2009 and 2019, the number of pediatric mental health hospitalizations increased by 25.8%, and these hospitalizations accounted for a significantly higher proportion of pediatric hospitalizations (11.5% [95% CI, 10.2%-12.8%] vs 19.8% [95% CI, 17.7%-21.9%]), hospital days (22.2% [95% CI, 19.1%-25.3%] vs 28.7% [95% CI, 24.4%-33.0%]), and interfacility transfers (36.9% [95% CI, 33.2%-40.5%] vs 49.3% [95% CI, 45.9%-52.7%]). The percentage of mental health hospitalizations with attempted suicide, suicidal ideation, or self-injury diagnoses increased significantly from 30.7% (95% CI, 28.6%-32.8%) in 2009 to 64.2% (95% CI, 62.3%-66.2%) in 2019. Length of stay and interfacility transfer rates varied significantly across hospitals. Across all years, mental health hospitalizations had significantly longer mean lengths of stay and higher transfer rates compared with non-mental health hospitalizations. Conclusions and Relevance: Between 2009 and 2019, the number and proportion of pediatric acute care hospitalizations due to mental health diagnoses increased significantly. The majority of mental health hospitalizations in 2019 included a diagnosis of attempted suicide, suicidal ideation, or self-injury, underscoring the increasing importance of this concern.