Dataset Information

Potentially Preventable Hospitalizations and the Burden of Healthcare-Associated Infections.

ABSTRACT:

Background

An estimated 4% of hospital admissions acquired healthcare-associated infections (HAIs) and accounted for $9.8 (USD) billion in direct cost during 2011. In 2010, nearly 140 000 of the 3.5 million potentially preventable hospitalizations (PPHs) may have acquired an HAI. There is a knowledge gap regarding the co-occurrence of these events.

Aims

To estimate the period occurrences and likelihood of acquiring an HAI for the PPH population.

Methods

Retrospective, cross-sectional study using logistic regression analysis of 2011 Texas Inpatient Discharge Public Use Data File including 2.6 million admissions from 576 acute care hospitals. Agency for Healthcare Research and Quality Prevention Quality Indicator software identified PPH, and existing administrative data identification methodologies were refined for Clostridium difficile infection, central line-associated bloodstream infection, catheter-associated urinary tract infection, and ventilator-associated pneumonia. Odds of acquiring HAIs when admitted with PPH were adjusted for demographic, health status, hospital, and community characteristics.

Findings

We identified 272 923 PPH, 14 219 HAI, and 986 admissions with PPH and HAI. Odds of acquiring an HAI for diabetic patients admitted for lower extremity amputation demonstrated significantly increased odds ratio of 2.9 (95% confidence interval: 2.16-3.91) for Clostridium difficile infection. Other PPH patients had lower odds of acquiring HAI compared to non-PPH patients, and results were frequently significant.

Conclusions

Clinical implications include increased risk of HAI among diabetic patients admitted for lower extremity amputation. Methodological implications include identification of rare events for inpatient subpopulations and the need for improved codification of HAIs to improve cost and policy analyses regarding allocation of resources toward clinical improvements.

SUBMITTER: Lorden AL

PROVIDER: S-EPMC5582652 | biostudies-literature | 2017 Jan-Dec

REPOSITORIES: biostudies-literature

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Publications

Potentially Preventable Hospitalizations and the Burden of Healthcare-Associated Infections.

Lorden Andrea L AL Jiang Luohua L Radcliff Tiffany A TA Kelly Kathleen A KA Ohsfeldt Robert L RL

Health services research and managerial epidemiology 20170101

<h4>Background</h4>An estimated 4% of hospital admissions acquired healthcare-associated infections (HAIs) and accounted for $9.8 (USD) billion in direct cost during 2011. In 2010, nearly 140 000 of the 3.5 million potentially preventable hospitalizations (PPHs) may have acquired an HAI. There is a knowledge gap regarding the co-occurrence of these events.<h4>Aims</h4>To estimate the period occurrences and likelihood of acquiring an HAI for the PPH population.<h4>Methods</h4>Retrospective, cross ...[more]

PMID: 28894766

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Project description:ImportanceResearch demonstrates that SARS-CoV-2 infection is associated with increased risk of all-cause hospitalization. However, no prior studies have assessed the association between SARS-CoV-2 and potentially preventable hospitalizations-that is, hospitalizations for conditions that can usually be effectively managed in ambulatory care settings.ObjectiveTo examine whether SARS-CoV-2 is associated with potentially preventable hospitalization in a nationwide cohort of US veterans.Design, setting, and participantsThis cohort study used an emulated target randomized trial design with monthly sequential trials to compare risk of a potentially preventable hospitalization among veterans with SARS-CoV-2 and matched comparators without SARS-CoV-2. A total of 189 136 US veterans enrolled in the Veterans Health Administration (VHA) who were diagnosed with SARS-CoV-2 between March 1, 2020, and April 30, 2021, and 943 084 matched comparators were included in the analysis. Data were analyzed from May 10, 2023, to January 26, 2024.ExposureSARS-CoV-2 infection.Main outcomes and measuresThe primary outcome was a first potentially preventable hospitalization in VHA facilities, VHA-purchased community care, or Medicare fee-for-service care. Extended Cox models were used to examine adjusted hazard ratios (AHRs) of potentially preventable hospitalization among veterans with SARS-CoV-2 and comparators during follow-up periods of 0 to 30, 0 to 90, 0 to 180, and 0 to 365 days. The start of follow-up was defined as the date of each veteran's first positive SARS-CoV-2 diagnosis, with the same index date applied to their matched comparators.ResultsThe 1 132 220 participants were predominantly men (89.06%), with a mean (SD) age of 60.3 (16.4) years. Most veterans were of Black (23.44%) or White (69.37%) race. Veterans with SARS-CoV-2 and comparators were well-balanced (standardized mean differences, all <0.100) on observable baseline clinical and sociodemographic characteristics. Overall, 3.10% of veterans (3.81% of those with SARS-CoV-2 and 2.96% of comparators) had a potentially preventable hospitalization during 1-year follow-up. Risk of a potentially preventable hospitalization was greater among veterans with SARS-CoV-2 than comparators in 4 follow-up periods: 0- to 30-day AHR of 3.26 (95% CI, 3.06-3.46); 0- to 90-day AHR of 2.12 (95% CI, 2.03-2.21); 0- to 180-day AHR of 1.69 (95% CI, 1.63-1.75); and 0- to 365-day AHR of 1.44 (95% CI, 1.40-1.48).Conclusions and relevanceIn this cohort study, an increased risk of preventable hospitalization in veterans with SARS-CoV-2, which persisted for at least 1 year after initial infection, highlights the need for research on ways in which SARS-CoV-2 shapes postinfection care needs and engagement with the health system. Solutions are needed to mitigate preventable hospitalization after SARS-CoV-2.

Project description:Background/objectivesDementia is associated with higher healthcare expenditures, in large part due to increased hospitalization rates relative to patients without dementia. Data on contemporary trends in the incidence and outcomes of potentially preventable hospitalizations of patients with dementia are lacking.DesignRetrospective cohort study using the National Inpatient Sample from 2012 to 2016.SettingU.S. acute care hospitals.ParticipantsA total of 1,843,632 unique hospitalizations of older adults (aged ≥65 years) with diagnosed dementia.MeasurementsAnnual trends in the incidence of hospitalizations for all causes and for potentially preventable conditions including acute ambulatory care sensitive conditions (ACSCs), chronic ACSCs, and injuries. In-hospital outcomes including mortality, discharge disposition, and hospital costs.ResultsThe survey weighted sample represented an estimated 9.27 million hospitalizations for patients with diagnosed dementia (mean [standard deviation] age = 82.6 [6.7] years; 61.4% female). In total, 3.72 million hospitalizations were for potentially preventable conditions (40.1%), 2.07 million for acute ACSCs, .76 million for chronic ACSCs, and .89 million for injuries. Between 2012 and 2016, the incidence of all-cause hospitalizations declined from 1.87 million to 1.85 million per year (P = .04) while the incidence of potentially preventable hospitalizations increased from .75 million to .87 million per year (P < .001), driven by an increased number of hospitalizations of community-dwelling older adults. Among patients with dementia hospitalized for potentially preventable conditions, inpatient mortality declined from 6.4% to 6.1% (P < .001), inflation-adjusted median costs increased from $7,319 to $7,543 (P < .001), and total annual costs increased from $7.4 to $9.3 billion. Although 86.0% of hospitalized patients were admitted from the community, only 32.7% were discharged to the community.ConclusionThe number of potentially preventable hospitalizations of older adults with dementia is increasing, driven by hospitalizations of community-dwelling older adults. Improved strategies for early detection and goal-directed treatment of potentially preventable conditions in patients with dementia are urgently needed. J Am Geriatr Soc 68:2240-2248, 2020.

Project description:BackgroundThe relative contributions of depression, cognitive impairment without dementia (CIND), and dementia to the risk of potentially preventable hospitalizations in older adults are not well understood.Objective(s)To determine if depression, CIND, and/or dementia are each independently associated with hospitalizations for ambulatory care-sensitive conditions (ACSCs) and rehospitalizations within 30 days after hospitalization for pneumonia, congestive heart failure (CHF), or myocardial infarction (MI).DesignProspective cohort study.ParticipantsPopulation-based sample of 7,031 Americans?>?50 years old participating in the Health and Retirement Study (1998-2008).Main measuresThe eight-item Center for Epidemiologic Studies Depression Scale and/or International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) depression diagnoses were used to identify baseline depression. The Modified Telephone Interview for Cognitive Status and/or ICD-9-CM dementia diagnoses were used to identify baseline CIND or dementia. Primary outcomes were time to hospitalization for an ACSC and presence of a hospitalization within 30 days after hospitalization for pneumonia, CHF, or MI.Key resultsAll five categories of baseline neuropsychiatric disorder status were independently associated with increased risk of hospitalization for an ACSC (depression alone: Hazard Ratio [HR]: 1.33, 95% Confidence Interval [95%CI]: 1.18, 1.52; CIND alone: HR: 1.25, 95%CI: 1.10, 1.41; dementia alone: HR: 1.32, 95%CI: 1.12, 1.55; comorbid depression and CIND: HR: 1.43, 95%CI: 1.20, 1.69; comorbid depression and dementia: HR: 1.66, 95%CI: 1.38, 2.00). Depression (Odds Ratio [OR]: 1.37, 95%CI: 1.01, 1.84), comorbid depression and CIND (OR: 1.98, 95%CI: 1.40, 2.81), or comorbid depression and dementia (OR: 1.58, 95%CI: 1.06, 2.35) were independently associated with increased odds of rehospitalization within 30 days after hospitalization for pneumonia, CHF, or MI.ConclusionsDepression, CIND, and dementia are each independently associated with potentially preventable hospitalizations in older Americans. Older adults with comorbid depression and cognitive impairment represent a particularly at-risk group that could benefit from targeted interventions.

Project description:BackgroundHigh-cost patients account for a disproportionate share of healthcare spending. The proportion and distribution of potentially preventable spending among subgroups of high-cost patients are largely unknown.ObjectiveTo examine the distribution of potentially preventable spending among high-cost Medicare patients overall and potentially preventable spending associated with each high-cost category.DesignA cross-sectional study. We merged Medicare claims and social determinants of health data to group patients into high-cost categories and quantify potentially preventable spending.PatientsA total of 556,053 Medicare fee-for-service and dual-eligible beneficiaries with at least one healthcare encounter in the New York metropolitan area in 2014.Main measuresHigh-cost patients were mapped into 10 non-mutually exclusive categories. The primary outcome was episodic spending associated with preventable ED visits, preventable hospitalizations, and unplanned 30-day readmissions.Key resultsOverall, potentially preventable spending accounted for 10.4% of overall spending in 2014. Preventable spending accounted for 13.3% of total spending among high-cost patients and 4.9% among non-high-cost patients (P < 0.001). Among high-cost patients, 44.0% experienced at least one potentially preventable encounter compared with 11.4% of non-high-cost patients (P < 0.001), and high-cost patients accounted for 71.5% of total preventable spending. High-cost patients had on average $11,502 in potentially preventable spending-more than 20 times more than non-high-cost patients ($510). High-cost patients in the seriously ill, frail, or serious mental illness categories accounted for the highest proportion of potentially preventable spending overall, while end-stage renal disease, serious illness, and opioid use disorder were associated with the highest preventable spending per patient.ConclusionPotentially preventable spending was concentrated among high-cost patients who were seriously ill, frail, or had a serious mental illness. Interventions targeting these subgroups may be helpful for reducing preventable utilization.

Dataset Information

Potentially Preventable Hospitalizations and the Burden of Healthcare-Associated Infections.

Background

Aims

Methods

Findings

Conclusions

Publications

Potentially Preventable Hospitalizations and the Burden of Healthcare-Associated Infections.

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