scholarly journals 36INVESTIGATING DIFFERENCES IN PRIMARY CODED ADMISSION DIAGNOSIS AND LENGTH OF STAY BETWEEN CARE HOME AND NON-CARE HOME PATIENTS USING A NOVEL CARE HOME RESIDENT IDENTIFICATION ALGORITHM

2018 ◽  
Vol 47 (suppl_3) ◽  
pp. iii14-iii17
Author(s):  
G Housley ◽  
A Usman ◽  
S Lewis ◽  
A L Gordon ◽  
D E Shaw
Keyword(s):  
Length Of Stay ◽  
Care Home ◽  
Admission Diagnosis ◽  
Identification Algorithm ◽  
Care Home Resident

Disagreement between emergency department admission diagnosis and hospital discharge diagnosis: mortality and morbidity

Diagnosis ◽  
2016 ◽  
Vol 3 (1) ◽  
pp. 23-30 ◽  
Author(s):  
James Eames ◽  
Arie Eisenman ◽  
Richard J. Schuster
Keyword(s):  
Emergency Department ◽  
Length Of Stay ◽  
Medical Center ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Admission Diagnosis ◽  
Mortality And Morbidity ◽  
Emergency Department Admission ◽  
Icu Length Of Stay ◽  
Discordant Group

AbstractPrevious studies have shown that changes in diagnoses from admission to discharge are associated with poorer outcomes. The aim of this study was to investigate how diagnostic discordance affects patient outcomes.: The first three digits of ICD-9-CM codes at admission and discharge were compared for concordance. The study involved 6281 patients admitted to the Western Galilee Medical Center, Naharyia, Israel from the emergency department (ED) between 01 November 2012 and 21 January 2013. Concordant and discordant diagnoses were compared in terms of, length of stay, number of transfers, intensive care unit (ICU) admission, readmission, and mortality.: Discordant diagnoses was associated with increases in patient mortality rate (5.1% vs. 1.5%; RR 3.35, 95% CI 2.43, 4.62; p<0.001), the number of ICU admissions (6.7% vs. 2.7%; RR 2.58, 95% CI 2.07, 3.32; p<0.001), hospital length of stay (3.8 vs. 2.5 days; difference 1.3 days, 95% CI 1.2, 1.4; p<0.001), ICU length of stay (5.2 vs. 3.8 days; difference 1.4 days, 95% CI 1.0, 1.9; p<0.001), and 30 days readmission (14.11% vs. 12.38%; RR 1.14, 95% CI 1.00, 1.30; p=0.0418). ED length of stay was also greater for the discordant group (3.0 vs. 2.9 h; difference 8.8 min; 95% CI 0.1, 0.2; p<0.001): These findings indicate discordant admission and discharge diagnoses are associated with increases in morbidity and mortality. Further research should identify modifiable causes of discordance.

26 Clogged Feeding Tubes: Why Does It Matter?

2021 ◽  
Vol 42 (Supplement_1) ◽  
pp. S22-S23
Author(s):  
Sarah Zavala ◽  
Ashley Wang ◽  
Cheryl W Zhang ◽  
Jennifer M Larson ◽  
Yuk Ming Liu
Keyword(s):  
Risk Factors ◽  
Length Of Stay ◽  
Nutritional Support ◽  
Total Body Surface Area ◽  
Tube Feeding ◽  
Feeding Tube ◽  
Admission Diagnosis ◽  
Burn Patients ◽  
Feeding Tubes ◽  
Burn Unit

Abstract Introduction Many patients treated on a burn unit require tube feeding as their primary caloric source or as supplemental feeding due to their injuries. Burn patients specifically require higher caloric intake due to the hypermetabolic state of burn injuries. Inadequate nutritional support contributes to longer ICU stays and higher mortality. Clogged feeding tubes reduce nutrition provided due to temporary discontinuation of feeding. The objective of this study was to identify risk factors for the incidence of tube clogging. Methods This was a single-center retrospective chart review of all patients admitted to an American Burn Association-verified Burn Unit between August 2017 and October 2019 who received tube feeds during their admission. Data collected included baseline demographics, clinical outcomes, and details about tube feed formulations, number of clogs, and details leading up to the clog. Baseline demographics were compared using descriptive statistics. Nominal data was compared using Chi-square test. Continuous data was analyzed using student’s t-test or Mann-Whitney U test. Results A total of 170 patients were included; admission diagnoses included burn (97), soft tissue infections (29), SJS/TEN (11), and others (33). At least one clogged feeding tube was experienced by 51 patients and some experienced up to seven separate clogs. SJS/TEN patients were less likely to experience a clog (9.2 vs 0%, p = 0.035) and frostbite patients were more likely to experience a clog (0 vs 5.9%, p = 0.026). Burn mechanism did not affect incidence of tube feed clog, but patients with larger total body surface area (TBSA) burned were more likely to have a clog (15.55 vs 25.03%, p = 0.004). It was a median of 12 days until the first clog occurred (IQR 7.8–17.3). Two tube feed formulas demonstrated an increased likelihood of clog: a renal formulation (16.8 vs 33.3%, p = 0.017) and a polymeric concentrated product (5.0 vs 17.6%, p = 0.008). Both products have a high viscosity. Patients who experienced a clog had a longer length of stay (21.5 vs 44.0 days, p = 0.001). Conclusions This study identified several risk factors associated with higher incidence of clogged feeding tube in the burn unit including tube feed formulation and viscosity, admission diagnosis, and larger TBSA in burn patients. This study also confirms that clogged feeding tubes, and the resultant insufficient nutritional support, may contribute to an increased length of stay.

scholarly journals Creation of a novel algorithm to identify patients with Becker and Duchenne muscular dystrophy within an administrative database and application of the algorithm to assess cardiovascular morbidity

2019 ◽  
Vol 29 (3) ◽  
pp. 290-296 ◽  
Author(s):  
Jonathan H Soslow ◽  
Matthew Hall ◽  
W Bryan Burnette ◽  
Kan Hor ◽  
Joanne Chisolm ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Muscular Dystrophy ◽  
Length Of Stay ◽  
Rate Ratio ◽  
Ventricular Dysfunction ◽  
Left Ventricular ◽  
Hospitalisation Cost ◽  
Identification Algorithm ◽  
International Classification Of Disease

AbstractBackgroundOutcome analyses in large administrative databases are ideal for rare diseases such as Becker and Duchenne muscular dystrophy. Unfortunately, Becker and Duchenne do not yet have specific International Classification of Disease-9/-10 codes. We hypothesised that an algorithm could accurately identify these patients within administrative data and improve assessment of cardiovascular morbidity.MethodsHospital discharges (n=13,189) for patients with muscular dystrophy classified by International Classification of Disease-9 code: 359.1 were identified from the Pediatric Health Information System database. An identification algorithm was created and then validated at three institutions. Multi-variable generalised linear mixed-effects models were used to estimate the associations of length of stay, hospitalisation cost, and 14-day readmission with age, encounter severity, and respiratory disease accounting for clustering within the hospital.ResultsThe identification algorithm improved identification of patients with Becker and Duchenne from 55% (code 359.1 alone) to 77%. On bi-variate analysis, left ventricular dysfunction and arrhythmia were associated with increased cost of hospitalisation, length of stay, and mortality (p<0.001). After adjustment, Becker and Duchenne patients with left ventricular dysfunction and arrhythmia had increased length of stay with rate ratio 1.4 and 1.2 (p<0.001 and p=0.004) and increased cost of hospitalization with rate ratio 1.4 and 1.4 (both p<0.001).ConclusionsOur algorithm accurately identifies patients with Becker and Duchenne and can be used for future analysis of administrative data. Our analysis demonstrates the significant effects of cardiovascular disease on length of stay and hospitalisation cost in patients with Becker and Duchenne. Better recognition of the contribution of cardiovascular disease during hospitalisation with earlier more intensive evaluation and therapy may help improve outcomes in this patient population.

scholarly journals Reducing time in acute hospitals: A stepped-wedge randomised control trial of a specialist palliative care intervention in residential care homes

2020 ◽  
Vol 34 (5) ◽  
pp. 571-579 ◽  
Author(s):  
Liz Forbat ◽  
Wai-Man Liu ◽  
Jane Koerner ◽  
Lawrence Lam ◽  
Juliane Samara ◽  
...  
Keyword(s):  
Palliative Care ◽  
Length Of Stay ◽  
Care Home ◽  
Care Homes ◽  
Randomised Control Trial ◽  
Specialist Palliative Care ◽  
Stepped Wedge ◽  
Model Of Care ◽  
Care Needs ◽  
Palliative Care Needs

Background: Care home residents are frequently transferred to hospital, rather than provided with appropriate and timely specialist care in the care home. Aim: To determine whether a model of care providing specialist palliative care in care homes, called Specialist Palliative Care Needs Rounds, could reduce length of stay in hospital. Design: Stepped-wedge randomised control trial. The primary outcome was length of stay in acute care (over 24-h duration), with secondary outcomes being the number and cost of hospitalisations. Care homes were randomly assigned to cross over from control to intervention using a random number generator; masking was not possible due to the nature of the intervention. Analyses were by intention to treat. The trial was registered with ANZCTR: ACTRN12617000080325. Data were collected between 1 February 2017 and 30 June 2018. Setting/participants: 1700 residents in 12 Australian care homes for older people. Results: Specialist Palliative Care Needs Rounds led to reduced length of stay in hospital (unadjusted difference: 0.5 days; adjusted difference: 0.22 days with 95% confidence interval: −0.44, −0.01 and p = 0.038). The intervention also provided a clinically significant reduction in the number of hospitalisations by 23%, from 5.6 to 4.3 per facility-month. A conservative estimate of annual net cost-saving from reduced admissions was A$1,759,011 (US$1.3 m; UK£0.98 m). Conclusion: The model of care significantly reduces hospitalisations through provision of outreach by specialist palliative care clinicians. The data offer substantial evidence for Specialist Palliative Care Needs Rounds to reduce hospitalisations in older people approaching end of life, living in care homes.

scholarly journals 6 * JOINT GP AND GERIATRICIAN CARE HOME RESIDENT REVIEWS: AN INTEGRATED MODEL

2015 ◽  
Vol 44 (suppl 1) ◽  
pp. i2-i2
Author(s):  
A. Folwell ◽  
D. Heseltine ◽  
C. Henderson ◽  
K. Athorn
Keyword(s):  
Care Home ◽  
Integrated Model ◽  
Care Home Resident

scholarly journals Genomic epidemiology of COVID-19 in care homes in the east of England

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
William L Hamilton ◽  
Gerry Tonkin-Hill ◽  
Emily R Smith ◽  
Dinesh Aggarwal ◽  
Charlotte J Houldcroft ◽  
...  
Keyword(s):  
Infection Control ◽  
Older People ◽  
Severe Disease ◽  
Care Home ◽  
Genomic Analysis ◽  
Viral Transmission ◽  
Care Homes ◽  
Temporal Data ◽  
Genomic Epidemiology ◽  
Care Home Resident

COVID-19 poses a major challenge to care homes, as SARS-CoV-2 is readily transmitted and causes disproportionately severe disease in older people. Here, 1167 residents from 337 care homes were identified from a dataset of 6600 COVID-19 cases from the East of England. Older age and being a care home resident were associated with increased mortality. SARS-CoV-2 genomes were available for 700 residents from 292 care homes. By integrating genomic and temporal data, 409 viral clusters within the 292 homes were identified, indicating two different patterns – outbreaks among care home residents and independent introductions with limited onward transmission. Approximately 70% of residents in the genomic analysis were admitted to hospital during the study, providing extensive opportunities for transmission between care homes and hospitals. Limiting viral transmission within care homes should be a key target for infection control to reduce COVID-19 mortality in this population.

scholarly journals Factors Associated With Older Adults’ In-Hospital Mobility: A Comparison Between Israel and Denmark

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 26-26
Author(s):  
Mette Merete Pedersen ◽  
Janne Petersen ◽  
Ove Andersen ◽  
Efrat Shadmi ◽  
Ksenya Shulyaev ◽  
...  
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Length Of Stay ◽  
Bed Rest ◽  
Analysis Of Covariance ◽  
Admission Diagnosis ◽  
Mobility Limitations ◽  
Post Discharge ◽  
Mobility Performance ◽  
Similar Risk

Abstract Low levels of in-hospital mobility and excessive bed rest are widely described across the globe as a major risk factor for hospital associated disabilities. Different predictors of in-hospital and post-discharge mobility limitations have been proposed across studies, including age, admission diagnosis, physical performance, cognitive impairment, performance of activities of daily living, and length of stay. However, it is unknown whether similar risk factors across countries are associated with in-hospital mobility given different mobility measurement methods, variations in measurement of predictors and differences in populations studied. In the current study, we investigated the relationship between in-hospital mobility and a set of similar risk factors in functionally independent older adults (65+) hospitalized in acute care settings in Israel (N=206) and Denmark (N=113). In Israel, mobility was measured via ActiGraph and in Denmark by ActivPal for up to seven hospital days. Parallel analysis of covariance (ANCOVA) in each sample showed that community-mobility before hospitalization, mobility performance at admission and length of stay were associated with in-hospital mobility in both countries, whereas age and self-reported health status were associated with mobility only in Denmark. This comparison indicates that despite slightly different measurement approaches, similar risks are attributed to older adults’ low in-hospital mobility and emphasizes the contribution of commonly used pre-hospitalization mobility measures as strong and consistent risk factors. This knowledge can support a better understanding of the need of both standard risk assessments and country-based tailored approaches.

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