Reducing Rural and Urban Disparities in Potentially Preventable Hospitalizations: Evidence of Hospital-Based Health Information Technology and Enabling Services.

Background: Telehealth and enabling services are promising approaches to address the intersecting challenges of chronic disease burden, a growing aging population, and poor access to care disproportionately affecting rural areas. Using potentially preventable hospitalizations (PPHs) as an indicator for health system efficiency and quality, this study examined the relationship between health information technology and hospital-provided enabling services on PPHs across rural, micropolitan, and metropolitan areas. Methods: We constructed a patient-, hospital-, community-, and state-level data set using the Medicare fee-for-service claims file and the Medicare Master Beneficiary Summary File, and the American Hospital Association Annual Survey. Logistic regressions were applied to examine associations between PPH and telehealth post-discharge, telehealth treatment, and telehealth post-discharge and enabling services. Results: Approximately 50% of rural and micropolitan residents (vs. 36% of urban residents) were treated in hospitals providing neither telehealth post-discharge services nor enabling services, and 7% (vs. 11% of urban residents) were treated in hospitals with both services. Telehealth post-discharge services were associated with significantly lower odds ratio (OR) of having any PPH due to acute (OR = 0.91, p < 0.001) and chronic conditions (OR = 0.94, p < 0.001). The ORs of having any PPH due to acute and chronic conditions were the least among beneficiaries who were treated in hospitals with both telehealth post-discharge and enabling services (OR = 0.56, p < 0.001, for acute conditions, and OR = 0.73, p < 0.001, for chronic conditions). Conclusions: Hospital use of post-discharge telehealth alongside enabling services may help provide timely access to care, improve care coordination, and reduce PPHs for older rural residents.

Nursing Home Resident, Family, and Staff Perspectives on Hospital Transfers for End-of-Life Care.

Residents who are terminally ill often experience transfers to the emergency department resulting in hospitalizations, which may be potentially avoidable with treatment in the nursing home. This qualitative study explored the perspectives of 15 residents, 10 family members, and 20 nursing home staff regarding end-of-life care and the circumstances prompting resident transfers. Data analysis of participant interviews conducted January to May 2019 in a South Florida nursing home identified four themes related to transfer to the hospital: time left to live, when aggressive treatments would be unavailing, not knowing what the nursing home can do, and transfer decisions are situation-dependent. Study findings underscore the importance of increasing resident and family awareness of treatments available in the nursing home and person-centered advance care planning discussions. Further research should explore the reasons for residents' and family members' choice of aggressive therapies and their goals for care at the end of life.

Rural and urban disparities in potentially preventable hospitalizations among US patients with Alzheimer's Disease and Related Dementias: Evidence of hospital-based telehealth and enabling services.

We examined urban and rural disparities in potentially preventable hospitalizations (PPHs) among US patients with Alzheimer's Disease and Related Dementias (ADRD) and the use of telehealth post-discharge and enabling services as mediators. We merged 2017 100% Medicare Fee-For-Service (FFS) claims with the Medicare Beneficiary Summary File, along with population and hospital-based characteristics. Logistic regression models were employed to examine differences in PPHs by telehealth and enabling services. The rates of PPHs related to acute and chronic conditions for patients with ADRD living in rural and micropolitan areas were significantly higher compared to patients with ADRD in urban areas. Telehealth post-discharge combined with enabling services significantly decreased the odds of PPHs associated with acute (OR: 0.93, 95% CI: 0.89-0.98, P-value <0.01) and chronic conditions (OR: 0.96, 95% CI: 0.92-1.00, P-value = 0.07). In addition, telehealth post-discharge combined with enabling services significantly decreased the odds of PPHs in patients with ADRD in rural (acute PPHs OR: 0.56, 95% CI: 0.41-0.77, P-value <0.01; chronic PPHs OR: 0.73, 95% CI: 0.55-0.97, P-value = 0.03) and micropolitan (acute PPHs OR: 0.65, 95% CI: 0.57-0.73, P-value <0.01; chronic PPHs OR: 0.83, 95% CI: 0.74-0.93, P-value <0.01) areas. Our results suggest that the combinations of telehealth post-discharge and enabling services are important interventions in helping to reduce preventable hospitalizations among patients with ADRD living in rural and micropolitan areas.

Influencing Factors Associated with Implementation of INTERACT (Interventions to Reduce Acute Care Transfers) in VA Community Living Centers (CLCs) Using the Consolidated Framework.

Our objective was to identify the influencing factors associated with the implementation of the INTERACT (Interventions to Reduce Acute Care Transfers) Quality Improvement program within a national healthcare system. INTERACT focuses on early identification and management of changes in residents' condition leading to a reduction in potentially preventable hospital transfers. The Consolidated Framework was used to evaluate implementation data from eight VA Community Living Centers. Qualitative implementation data suggest two influencing Consolidated Framework domains had a strong influence: 1) key attributes of the intervention (e.g., adaptability or complexity) and 2) internal organizational factors (e.g., culture or compatibility). Using the Consolidated Framework can assist future adaptations to this and other complex quality improvement initiatives.

Spatial clusters of chronic preventable hospitalizations (ambulatory care sensitive conditions) and access to primary care.

BACKGROUND: Potentially preventable hospitalizations (PPHs) or ambulatory care sensitive conditions (ACSCs) represent hospitalizations that could be successfully managed in a primary care setting. Research from the USA and elsewhere on the role of primary care provider (PCP) access as a PPH driver has been conflicting. We investigated the role of PCP access in the creation of areas with persistently significant high rates of PPHs over time or PPH hotspots/spatial clusters. METHODS: Using a detailed dataset of PCPs and a dataset of 106 334 chronic PPH hospitalizations from South Western Sydney, Australia, we identified hotspots of chronic PPHs. We contrasted how hotspot PPHs were different from other PPHs on a range of factors including PCP access. RESULTS AND CONCLUSIONS: Six spatially contiguous areas comprising of eight postcodes were identified as hotspots with risks ranging from 1.6 to 2.9. The hotspots were found to be more disadvantaged and had better PCP access than other areas. Socioeconomic disadvantage explained the most variation (8%) in clustering while PCP access explained only a small fraction though using detailed PCP access measures helped. Nevertheless a large proportion of the variation remained unexplained (86.5%) underscoring the importance of individual level behaviours and other factors in driving chronic PPH clustering.

Capitated Telehealth Coaching Hospital Readmission Service in Australia: Pragmatic Controlled Evaluation.

BACKGROUND: MonashWatch is a telehealth public hospital outreach pilot service as a component of the Government of Victoria's statewide redesign initiative called HealthLinks: Chronic Care. Rather than only paying for hospitalizations, projected funding is released earlier to hospitals to allow them to reduce hospitalization costs. MonashWatch introduced a web-based app, Patient Journey Record System, to assess the risk of the journeys of a cohort of patients identified as frequent admitters. Telecare guides call patients using the Patient Journey Record System to flag potential deterioration. Health coaches (nursing and allied health staff) triage risk and adapt care for individuals. OBJECTIVE: The aim was a pragmatic controlled evaluation of the impact of MonashWatch on the primary outcome of bed days for acute nonsurgical admissions in the intention-to-treat group versus the usual care group. The secondary outcome was hospital admission rates. The net promoter score was used to gauge satisfaction. METHODS: Patients were recruited into an intention-to-treat group, which included active telehealth and declined/lost/died groups, versus a systematically sampled (4:1) usual care group. A rolling sample of 250-300 active telehealth patients was maintained from December 23, 2016 to June 23, 2019. The outcome-mean bed days in intervention versus control-was adjusted using analysis of covariance for age, gender, admission type, and effective days active in MonashWatch. Time-series analysis tested for trends in change patterns. RESULTS: MonashWatch recruited 1373 suitable patients who were allocated into the groups: usual care (n=293) and intention-to-treat (n=1080; active telehealth: 471/1080, 43.6%; declined: 485, 44.9%; lost to follow-up: 178 /1080, 10.7%; died: 8/1080, 0.7%). Admission frequency of intention-to-treat compared to that of the usual care group did not significantly improve (P=.05), with a small number of very frequent admitters in the intention-to-treat group. Age, MonashWatch effective days active, and treatment group independently predicted bed days. The analysis of covariance demonstrated a reduction in bed days of 1.14 (P<.001) in the intention-to-treat group compared with that in the usual care group, with 1236 bed days estimated savings. Both groups demonstrated regression-to-the-mean. The downward trend in improved bed days was significantly greater (P<.001) in the intention-to-treat group (Sen slope -406) than in the usual care group (Sen slope -104). The net promoter score was 95% in the active telehealth group compared with typical hospital scores of 77%. CONCLUSIONS: Clinically and statistically meaningful reductions in acute hospital bed days in the intention-to-treat group when compared to that of the usual care group were demonstrated (P<.001), although admission frequency was unchanged with more short stay admissions in the intention-to-treat group. Nonrandomized control selection was a limitation. Nonetheless, MonashWatch was successful in the context of the HealthLinks: Chronic Care capitation initiative and is expanding.

Effects of health-information-based diabetes shared care program participation on preventable hospitalizations in Taiwan.

BACKGROUND: Taiwan's Diabetes Shared Care Program has been implemented since 2012, and the health information system plays a vital role in supporting most services of this program. However, little is known regarding the effectiveness of this information-based program. Therefore, this study investigated the effects of the participation of the Diabetes Shared Care Program on preventable hospitalizations. METHODS: This longitudinal study examined the data of health-care claims from 2011 to 2014 obtained from the diabetes mellitus health database. Patients with diabetes aged ≥18 years were included. Preventable hospitalizations were identified on the basis of prevention quality indicators developed for administrative data by the US Agency for Healthcare Research and Quality. A multilevel logistic regression was performed to examine the effects of the participation of the Diabetes Shared Care Program on preventable hospitalizations after adjustment for other variables. Analyses were conducted in late 2018. RESULTS: A medium level of participation (p = 0.05), age between 40 and 64 years(p < 0.0001), and absence of a catastrophic illness(p < 0.0001) were associated with a lower probability of having a preventable hospitalization. Male sex(p < 0.0001), age ≥ 65 years(p = 0.0203), low income level(p < 0.0001), living in the Southern division(p = 0.0106), and presence of many comorbidities(p < 0.0001) were associated with a higher probability of having a preventable hospitalization after adjustment for characteristics at the individual and county levels. CONCLUSIONS: The health information system records patients' medical history, monitors quality of care, schedules patient follow-ups, and reminds case managers to provide timely health education. This health-information-based Diabetes Shared Care Program is associated with better quality care of ambulatory, so it should be promoted on a broader scale.

Hospitalizations for Ambulatory Care-Sensitive Conditions among Children with Chronic and Complex Diseases.

OBJECTIVE: To evaluate ambulatory-care sensitive (ACS) hospitalizations for children with noncomplex chronic diseases (NC-CD) and children with medical complexity (CMC), and identify associations with ambulatory care characteristics. Although ACS hospitalizations are potentially preventable in general populations, the specific ambulatory care predictors and influence of medical complexity on them is poorly understood. STUDY DESIGN: Retrospective cohort study of NC-CD and CMC hospitalizations at a children's hospital during 2007-2014, excluding labor/delivery and children over 21 years. Pediatric medical complexity algorithm identified NC-CD or CMC. ACS hospitalizations were identified using Agency for Healthcare Research and Quality indicator definitions. Demographic and ambulatory care characteristics were compared between ACS and non-ACS hospitalizations with logistic regression clustered by patient. Measures of ambulatory care during 2 years before admission were explored with 20% random sample of general pediatrics discharges. RESULTS: Among 4035 children with NC-CD, 14.6% of 4926 hospitalizations were ACS hospitalizations. Among 5084 CMC, 5.3% of 14 390 discharges were ACS hospitalizations. Among NC-CD discharges, ACS hospitalizations were more likely with no prior-year outpatient visits (OR 1.4, 95% CI 1.1-1.7) and less likely with timely well checks (OR 0.8, 95% CI 0.6-0.9) and phone encounters in the month before admission (OR 0.5, 95% CI 0.2-1.0). Among CMC discharges, the only association observed was with provider continuity (OR 0.3, 95% CI 0.1- 1.0). CONCLUSIONS: Provider continuity may be associated with fewer CMC ACS hospitalizations, however, measures of ambulatory care were more consistently associated with ACS hospitalizations for NC-CD. CMC may need more precise ACS hospitalization definitions.

State-Level Variability in Veteran Reliance on Veterans Health Administration and Potentially Preventable Hospitalizations: A Geospatial Analysis.

Most Veterans who use the Veterans Health Administration (VHA) also utilize private-sector health care providers. To better inform local and regional health care planning, we assessed the association between reliance on VHA ambulatory care and total and system-specific preventable hospitalization rates (PHRs) at the state level. We conducted a retrospective dynamic cohort study using Veterans with diabetes mellitus, aged 66 years or older, and dually enrolled in VHA and Medicare parts A and B from 2004 to 2010. While controlling for median age and proportion of males, we measured the association between reliance on VHA ambulatory care and PHRs at the state level using multivariable ordinary least square regression, geographically weighted regression, and generalized additive models. We measured geospatial patterns in PHRs using global Moran's I and univariate local indicator spatial analysis. Approximately 30% of hospitalized Veterans experienced a preventable hospitalization. Reliance on VHA ambulatory care at the state level ranged from 13.92% to 67.78% and was generally not associated with PHRs. Geospatial analysis consistently identified a cluster of western states with low PHRs from 2006 to 2010. Given the generally low reliance on VHA ambulatory care and lack of association between this reliance and PHRs, policy changes to improve Veterans' health care outcomes should address private-sector care in addition to VHA care.

Preventable Hospitalization Rates and Neighborhood Poverty among New York City Residents, 2008-2013.

Knowing which demographic groups have higher rates of preventable hospitalizations can help identify geographic areas where improvements in primary care access and quality can be made. This study assessed whether preventable hospitalization rates by neighborhood poverty decreased from 2008 to 2013 and whether the gap between very high and low poverty neighborhoods changed. We examined trends in age-adjusted preventable hospitalization rates and rate ratios by neighborhood poverty overall and by sex using JoinPoint regression. Prevention Quality Indicators (PQIs) developed by the Agency for Healthcare Research and Quality were applied to inpatient hospitalization data from the New York State Department of Health's Statewide Planning and Research Cooperative System. PQIs were classified into composites. From 2008 to 2013, preventable hospitalization rates per 100,000 adults across each poverty group decreased. For very high poverty neighborhoods (ZIP codes with ≥30 % of persons living below the federal poverty level (FPL)), there were significant decreases overall (3430.56 to 2543.10, annual percent change [APC] = -5.91 %), for diabetes (676.15 to 500.83, APC = -5.75 %), respiratory (830.78 to 660.29, APC = -4.85 %), circulatory (995.69 to 701.81, APC = -7.24 %), and acute composites (928.18 to 680.17, APC = -5.62 %). The rate ratios also decreased over time; however, in 2013, the rates for very high poverty neighborhoods were two to four times higher than low poverty neighborhoods (ZIP codes with <10 % of persons below the FPL). While preventable hospitalization rates have decreased over time, disparities still exist. These findings underscore the need to ensure adequate access to quality and timely primary care among individuals living in high poverty neighborhoods.

Trends and area variations in Potentially Preventable Admissions for COPD in Spain (2002-2013): a significant decline and convergence between areas.

BACKGROUND: Potentially Preventable Hospitalizations (PPH) are hospital admissions for conditions which are preventable with timely and appropriate outpatient care being Chronic Obstructive Pulmonary Disease (COPD) admissions one of the most relevant PPH. We estimate the population age-sex standardized relative risk of admission for COPD-PPH by year and area of residence in the Spanish National Health System (sNHS) during the period 2002-2013. METHODS: The study was conducted in the 203 Hospital Service Areas of the sNHS, using the 2002 to 2013 hospital admissions for a COPD-PPH condition of patients aged 20 and over. We use conventional small area variation statistics and a Bayesian hierarchical approach to model the different risk structures of dependence in both space and time. RESULTS: COPD-PPH admissions declined from 24.5 to 15.5 per 10,000 persons-year (Men: from 40.6 to 25.1; Women: from 9.1 to 6.4). The relative risk declined from 1.19 (19 % above 2002-2013 average) in 2002 to 0.77 (30 % below average) in 2013. Both the starting point and the slope were different for the different regions. Variation among admission rates between extreme areas dropped from 6.7 times higher in 2002 to 4.6 times higher in 2013. CONCLUSIONS: COPD-PPH conditions in Spain have undergone a strong decline and a reduction in geographical variation in the last 12 years, suggesting a general improvement in health policies and health care over time. Variability among areas still remains, with a substantial room for improvement.

Nursing home nurses' perceptions of emergency transfers from nursing homes to hospital: A review of qualitative studies using systematic methods.

The aim is to describe nursing home nurses' perceptions around emergency transfers to hospital. Transfers are costly and traumatic for residents, and efforts are underway to avoid hospitalization. Nurses play a key role in transfers, yet their views are underreported. A systematic review of qualitative studies was undertaken, guided by Joanna Briggs Institute methods. From seven reviewed studies, it was clear nursing home nurses are challenged by the complexity of the transfer process and understand their need for appropriate clinical knowledge, skills and resources. Communication is important, yet nurses often use persuasive and targeted communication. Ambiguity, strained relationships and negative perceptions of residents' experiences around hospitalization contribute to conflict and uncertainty. Nurses are more confident when there is a plan. Transferring a resident is a complex process and special skills, knowledge and resources are required, but may be lacking. Efforts to formalize the transfer process and improve communication and collaboration amongst all stakeholders is needed and would be well received.

Association Between Community Social Vulnerability and Preventable Hospitalizations.

Preventable hospitalizations are common and costly events that burden patients and our health care system. While research suggests that these events are strongly linked to ambulatory care access, emerging evidence suggests they may also be sensitive to a patient's social, environmental, and economic conditions. This study examines the association between variations in social vulnerability and preventable hospitalization rates. We conducted a cross-sectional analysis of county-level preventable hospitalization rates for 33 states linked with data from the 2020 Social Vulnerability Index (SVI). Preventable hospitalizations were 40% higher in the most vulnerable counties compared with the least vulnerable. Adjusted regression results confirm the strong relationship between social vulnerability and preventable hospitalizations. Our results suggest wide variation in community-level preventable hospitalization rates, with robust evidence that variation is strongly related to a community's social vulnerability. The human toll, societal cost, and preventability of these hospitalizations make understanding and mitigating these inequities a national priority.

Impact of Family Doctor Contract Services on Preventable Hospitalizations Amongst Patients with Hypertension in Rural China: Mediating Role of Primary Healthcare Quality.

Purpose: The objective of this study was to explore the connection between family doctor contract services and preventable hospitalizations. Additionally, we sought to examine the role of primary health care quality as a mediating factor in the link between family doctor contract services and preventable hospitalizations among patients with hypertension. Patients and Methods: This cross-sectional study was performed in Dangyang (Hubei Province, Central China) and Xishui (Guizhou Province, Western China) counties in July-August 2023. Participants comprised 625 patients selected via a multi-stage sampling method. Causal mediation analysis was conducted to explore the effect of family doctor contract services on preventable hospitalizations and the mediating effect of primary healthcare quality on this relationship. Results: Utilization rate of family doctor contract services of hypertensive patients was 58.6%, score of primary health service quality was 70.75 and incidence of preventable hospitalizations was 28.2%. Amongst hypertensive patients, utilization of family doctor contract services decreased the occurrence of preventable hospitalizations, with a total effect of -0.22 (p < 0.001). Primary healthcare quality mediates the association, with a mediate effect of -0.05 (p < 0.001), explaining 22.73% of the total effect. Conclusion: Improving the utilization of family doctor contract services and primary healthcare quality may result in lower rates of preventable hospitalizations amongst hypertensive patients.

The Appalachian Gap in Preventable Hospitalizations: Are We Seeing Any Progress?

Introduction: Previous studies have documented geographic variation in preventable hospitalizations between rural and urban areas, but much less is known about preventable hospitalization patterns between heterogeneous rural areas. Unique challenges related to access of care and poverty may put the rural Appalachian Region at risk for higher rates of preventable hospitalizations. Purpose: This study examines whether within-rural differences in Kentucky's preventable hospitalization rates exist and how these differences may be changing over time. Methods: Longitudinal and geographic trends in county-level preventable hospitalization rates were examined using Kentucky hospital discharge data from 2016 to 2019. Regression models were run to determine whether changes over time in preventable hospitalization rates led to an increasing or decreasing gap in outcomes between rural Appalachian counties and their urban and rural non- Appalachian counterparts. Results: Rural Appalachian counties consistently had significantly higher preventable hospitalizations rates compared to their rural non-Appalachian and urban counterparts ( p < 0.01). A downward trend in overall preventable hospitalizations was observed for rural Appalachia over time, but trends were relatively stable for rural non-Appalachian and urban counties. Regression results indicate that there was no significant reduction in the "Appalachian gap" over time. Implications: The analyses confirm that rural areas within Kentucky experienced highly heterogeneous rates of preventable hospitalizations. Despite Medicaid expansion, there is little evidence of any narrowing of the "Appalachian gap." Focus on improving access to care alone may be insufficient to improve outcomes. Alternative strategies that leverage population health approaches may improve capacity to address complex health and social needs in rural Appalachia.

Association Between Insurer Connectivity in Appalachian Population Health Networks and Preventable Hospitalizations: Evidence from Kentucky.

Introduction: Addressing complex health and social needs requires cross-sector collaboration to deliver medical, social, and population health services at the community level. Capacity in community health and social services networks may be constrained in regions like Appalachia due to the combined effects of rurality and persistently poor health and social outcomes. One way that cross-sector networks serving low-resource communities can expand their capacity is by engaging partners, like health insurers, who can leverage resources from outside the local area. Purpose: This study examines insurer connectivity in cross-sector networks across Kentucky's geographic regions and the association between connectivity and the probability of an individual experiencing a preventable hospitalization. Methods: A cross-sectional design was used that linked data from the National Longitudinal Survey of Public Health Systems (NALSYS) with 2018 patient-level Kentucky hospital discharge data to examine the association between insurer connectivity in community networks and preventable hospitalizations across urban, rural non-Appalachian, and Appalachian regions. Results: Analysis of the data shows substantial geographic variation in the association between insurer connectivity in community networks and preventable hospitalization. Insurer connectivity in rural Appalachian communities was associated with lower likelihood that an individual was admitted for a preventable hospitalization ( p < 0.01). Implications: Findings suggest insurer connectivity in cross-sector community health and social services networks has the potential to strengthen network capacity to address preventable hospitalizations and improve health outcomes and well-being for the people of Appalachia.

Geographic Variation in Preventable Hospitalizations among US Children with Autism.

There is a limited amount of research on geographic differences in preventable hospitalizations for ambulatory care sensitive conditions (ACSCs) among children with autism. The purpose of this study was to examine US regional differences in potentially preventable hospital admissions for pediatric inpatients diagnosed with autism. Hospital discharge data for six pediatric preventable conditions were obtained from the 2016-2019 National Inpatient Sample (NIS) under the US Agency for Healthcare Research and Quality. Geographic differences in preventable hospitalizations for children with autism were examined by US census regions and divisions. Multiple logistic regression analyses were conducted to examine child and clinical characteristics associated with ACSCs hospitalization across four US regions; the dependent variable was the likelihood of ACSCs hospitalization. Additionally, this study further explored the variation in preventable hospitalization among racial and ethnic groups for each region or division. Of the 138,305 autistic inpatients aged 2-17 years, about 10% had a primary diagnosis related to ACSCs. The results showed that the highest proportion of preventable hospitalizations for autistic children occurred in the middle Atlantic division of the northeast region. Racial differences were observed across all US regions, particularly in the northeast and south regions. Black children with autism were more likely to be hospitalized for ACSCs compared to White children with autism in three of the four US regions. Our results highlight the significant racial disparities in potentially avoidable hospitalizations among US children with autism. Examining geographic and racial differences in potentially avoidable hospitalizations could inform policy and practice while gaining a better understanding of pediatric patients with autism and where their families access health services. The findings of this study may help policymakers to identify where intervention is needed to tackle health inequities in the accessibility to quality primary care in the US. Further studies with more detailed investigation are recommended to better understand the mechanisms underlying these disparities, and to formulate effective regional policy and clinical practices while considering the unique needs and challenges of underserved children with autism.

Preventable Hospitalization Trends Before and After the Affordable Care Act.

Introduction: The Patient Protection and Affordable Care Act aimed to increase the number of individuals with health insurance, which may lead to adequate primary care management and reduced rates of preventable hospitalizations. To investigate the rates of preventable hospitalization after the passing of the Affordable Care Act in 2010 and Medicaid expansion in 2014 across 26 states, a population-based study was conducted using the Healthcare Cost and Utilization Project National Inpatient Sample database from 2005-2017. Methods: A logistic regression and trend analysis was performed to assess the changes in preventable hospitalization rates over time and the impact of policy changes on the rate of preventable hospitalization. Individuals were included if they were aged between 18 and 64 years and had a preventable quality indicator International Classification of Diseases, Ninth or Tenth Revision code as determined by the Agency for Healthcare Research and Quality. Results: More than 45 million preventable-hospitalization admissions were reported between 2005 and 2017. There was a significant decrease in preventable hospitalization rates after the passing of the Affordable Care Act from 12.0% to 10.8% (p<0.01) and from 11.5% to 10.6% (p<0.01) after Medicaid expansion. Bacterial pneumonia declined from 1.5% to 0.6% (p<0.01), along with chronic obstructive pulmonary disease and asthma in older adults from 1.9% to 1.7% (p=0.01) after the expansion. Conclusions: States that have not implemented Medicaid expansion should make it a priority because it may lead to a reduction in preventable hospitalization rates. Furthermore, preventable hospitalization rates may be considered a quality measure to examine the accessibility and effectiveness of primary care intervention.

National Hospitalization Trends and the Role of Preventable Hospitalizations among Centenarians in the United States (2000-2009).

Increases in life expectancy mean that an unprecedented number of individuals are reaching centenarian status, often with complex health concerns. We analyzed nationally representative hospital admissions data (200-2009) from the National Inpatient Study (NIS) for 52,618 centenarians (aged 100-115 years, mean age 101.4). We predicted length of stay (LOS) via negative binomial models and total inflation adjusted costs via fixed effects regression analysis informed by descriptive data. We also identified hospitalizations due to ambulatory care-sensitive conditions defined by AHRQ Prevention Quality Indicators. Mean LOS decreased from 6.1 to 5.1 days, while over the same time period the mean total adjusted charges rose from USD 13,373 to USD 25,026 in 2009 dollars. Black, Hispanic, Asian, or other race centenarians had higher cost stays compared to White, but only Black and Hispanic centenarians had significantly greater mean length of stay. Comorbidities predicted greater length of stay and higher costs. Centenarians admitted on weekends had higher costs but shorter length of stay. In total, 29.4% of total costs were due to potentially preventable hospitalizations for total charges (2000-2009) of USD 341.8M in 2009 dollars. Centenarian hospitalizations cost significantly more than hospitalization for any other group of elderly in the U.S.

The Role of Gender in the Association between Mental Health and Potentially Preventable Hospitalizations: A Single-Center Retrospective Observational Study.

Psychiatric disorders and substance abuse are barriers that limit access to timely treatment and can lead to Potentially Preventable Hospitalizations (PPH). The aim of this study is to identify the role played by gender in the association between mental health and PPH. Hospital discharge records (HDRs) from the Local Health Authority of Pescara (Italy) from 2015 to 2021 were examined and PPH were measured according to Prevention Quality Indicators (PQIs) provided by the Agency for Healthcare Research and Quality. In total, 119,730 HDRs were eligible for the study and 21,217 patients fell into the PQI categories. Mental health disorders and addictions were extracted from the HDRs through the Elixhauser Enhanced ICD-9-CM algorithm. The association between PQI hospitalization and some predictors considered was evaluated with multivariate logistic regression models. In males and females, alcohol abuse showed a protective role towards preventable admissions for PQI-90 (all types of conditions) and PQI-92 (chronic conditions). In contrast, there is a gender gap in accessibility to primary health care, especially for acute conditions leading to PPH. Indeed, in males, PQI-91 admissions for acute conditions were found to be positively associated with drug abuse, psychosis, and depression, whereas this was not the case for females.