Routine Data Indicators of Treatment for Dementia and Old-Age Depression

GeroPsych ◽  
2017 ◽  
Vol 30 (1) ◽  
pp. 27-33 ◽  
Author(s):  
Frank Godemann ◽  
Claus Wolff-Menzler ◽  
Michael Löhr ◽  
Hauke Wiegand
Keyword(s):  
Old Age ◽  
Inpatient Treatment ◽  
Readmission Rate ◽  
Routine Data ◽  
Psychiatric Hospitals ◽  
Treatment Quality ◽  
Dementia Diagnosis ◽  
Readmission Rates ◽  
Treatment Demand ◽  
Old Age Depression

Abstract. Complications in the course of dementia are one of the leading reasons for treatment in German psychiatric hospitals. One way to assess treatment quality with a moderate effort is to analyze existing routine data. A large routine dataset exists for psychiatric hospitals in Germany. This work reports on the indicators of inpatient treatment of patients with dementia and compares them to those found with old-age depression. Among other results it was shown that no specific dementia diagnosis was defined in more than 15% of all cases, and that the readmission rate within 30 days was more than 25%. Depressed people, on the other hand, showed lower readmission rates: They got more specific diagnoses and more therapeutic contacts. In conclusion, several aspects of diagnosis and treatment demand improvement among patients with dementia.

Impact of Michigan’s new opioid prescribing laws on spine surgery patients: analysis of the Michigan Spine Surgery Improvement Collaborative

2020 ◽  
pp. 1-6
Author(s):  
Paul Park ◽  
Victor Chang ◽  
Hsueh-Han Yeh ◽  
Jason M. Schwalb ◽  
David R. Nerenz ◽  
...  
Keyword(s):  
Spine Surgery ◽  
Spinal Surgery ◽  
Readmission Rate ◽  
Rating Scale ◽  
Short Term ◽  
Readmission Rates ◽  
Opioid Prescribing ◽  
Number Of Patients ◽  
Before And After ◽  
The Impact

OBJECTIVEIn 2017, Michigan passed new legislation designed to reduce opioid abuse. This study evaluated the impact of these new restrictive laws on preoperative narcotic use, short-term outcomes, and readmission rates after spinal surgery.METHODSPatient data from 1 year before and 1 year after initiation of the new opioid laws (beginning July 1, 2018) were queried from the Michigan Spine Surgery Improvement Collaborative database. Before and after implementation of the major elements of the new laws, 12,325 and 11,988 patients, respectively, were treated.RESULTSPatients before and after passage of the opioid laws had generally similar demographic and surgical characteristics. Notably, after passage of the opioid laws, the number of patients taking daily narcotics preoperatively decreased from 3783 (48.7%) to 2698 (39.7%; p < 0.0001). Three months postoperatively, there were no differences in minimum clinically important difference (56.0% vs 58.0%, p = 0.1068), numeric rating scale (NRS) score of back pain (3.5 vs 3.4, p = 0.1156), NRS score of leg pain (2.7 vs 2.7, p = 0.3595), satisfaction (84.4% vs 84.7%, p = 0.6852), or 90-day readmission rate (5.8% vs 6.2%, p = 0.3202) between groups. Although there was no difference in readmission rates, pain as a reason for readmission was marginally more common (0.86% vs 1.22%, p = 0.0323).CONCLUSIONSThere was a meaningful decrease in preoperative narcotic use, but notably there was no apparent negative impact on postoperative recovery, patient satisfaction, or short-term outcomes after spinal surgery despite more restrictive opioid prescribing. Although the readmission rate did not significantly increase, pain as a reason for readmission was marginally more frequently observed.

Abstract 11906: Heart Failure Admissions to General Medicine Services are Associated With Increased 30-day Readmission Rate

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Parag Goyal ◽  
Madeline Sterling ◽  
Ashley N Beecy ◽  
Savira Kochhar ◽  
John T Ruffino ◽  
...  
Keyword(s):  
Heart Failure ◽  
Readmission Rate ◽  
General Medicine ◽  
Structural Heart Disease ◽  
Multivariate Regression Analysis ◽  
Readmission Rates ◽  
Modifiable Factors ◽  
Patients With Heart Failure ◽  
Hospital Patients ◽  
Clinical Indices

Introduction: Hospitalists are increasingly caring for patients with heart failure (HF) at a time when there is need to identify modifiable factors associated with 30-day readmission rates. Hypothesis: Patients admitted to General Medicine services (GM) will have higher 30-day readmission rates than those admitted to Cardiology services. Methods: This retrospective cohort comprised patients with a principal diagnosis of HF discharged from GM or Cardiology services in 2013-2014 at an urban academic hospital. Patients discharged with hospice were excluded. Index hospitalizations and 30-day readmissions were identified via query of the electronic medical records. Demographics, clinical indices, and hospitalization characteristics were collected by chart review. Results: Among 926 patients admitted with HF, 40% were admitted to GM and 60% were admitted to a Cardiology service. Patients on GM were slightly older, more likely female, and more likely to have Medicare (Table). They also had higher LVEF, less RV dysfunction, and less ventricular tachycardia (VT). Rates of non-cardiac comorbidities were comparable between groups. Patients on GM experienced a 1.4-fold increased 30-day readmission rate compared to those on Cardiology services (32% vs. 23%, p=0.023). Multivariate regression analysis showed that admission to GM remained a predictor for 30-day readmission (OR 1.37, [1.01 to 1.87], p=0.048) after controlling for key differences between groups including age, sex, insurance, LVEF, RV dysfunction, VT, and admission blood pressure and hemoglobin. Conclusions: HF patients admitted to General Medicine have less structural heart disease, and yet have a higher rate of 30-day readmission compared to those admitted to Cardiology services. This underscores the importance of ensuring that hospitalists obtain adequate heart failure training (related to both inpatient care and optimization of discharge regimens), so as to avoid un-necessary readmissions.

Abstract WP374: Implementation of the Stroke Transition Discharge Center Improves 30-day Readmission Rate

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Susan Quimby ◽  
Javicia Peterson-Cole
Keyword(s):  
Readmission Rate ◽  
Inverse Correlation ◽  
Signs And Symptoms ◽  
Patient Specific ◽  
Readmission Rates ◽  
Hospital System ◽  
Practice Nurses ◽  
Time Period ◽  
Number Of Patients ◽  
Discharge Center

Background: Stroke patients and their caregivers require formalized education, medications, testing and rehabilitation to assist in prevention of recurrence and of post-stroke complications for optimal outcomes. Objective: The purpose of this program was to evaluate the effect of the Stroke Transition Discharge Center (STDC) on stroke readmission. Methods: The Advanced Practice Nurses (APN) see all stroke and TIA patients one week after discharge from hospital to home or one week after discharge from rehab to home. During the hour encounter, the APN reviews medications, test results, signs and symptoms of stroke, complete education including patient specific risk factors and ensure appropriate follow up. The APN coordinates and facilitates multiple services and disciplines impacting the patient, assuring the most efficient and effective goal-directed activities are provided at the right time and in partnership with all other disciplines providing care. Results: Implementation of the STDC enhances patient outcomes and improves 30-day readmission rates. Prior to our intervention, the readmission rate was 15.3%. After the implementation of the STDC, there was a 61% reduction in 30-day readmission rates to 6%, which is significantly below the hospital system benchmark of 11%. There was an increase in the readmission rate in the first two quarters of 2016 noted. There is an inverse correlation with the number of patients seen in the STDC during the same time period. Further analysis demonstrates that only one readmission in this time period had been seen prior in the STDC. Conclusion: Implementing the Stroke Transition Discharge Center demonstrated a dramatic reduction in 30-day readmission rates. Our data suggests that utilization of the clinic and participation by the patients has a direct and inverse effect on readmissions. Further data will need to be collected to determine if this is a sustained response.

Abstract P216: Heart Failure Readmission Rates: Experience of St John's Physician Group Practice Demonstration

2011 ◽  
Vol 4 (suppl_2) ◽  
Author(s):  
Joseph P Drozda ◽  
Donna A Smith ◽  
Paul C Freiman ◽  
Jeffrey A VanSlette ◽  
Timothy R Smith
Keyword(s):  
Heart Failure ◽  
Readmission Rate ◽  
Group Practice ◽  
Data Sets ◽  
Disease Registry ◽  
Readmission Rates ◽  
Annual Average ◽  
Physician Group ◽  
Period 2 ◽  
Artery Disease

Objective: The appropriateness of using readmission rates alone as markers of the quality of Heart Failure (HF) care has been questioned. The HF program of St. John's Health System's Physician Group Practice (PGP) Demonstration provided an opportunity to assess a number of outcomes that help to put readmission rates in context. The HF program included disease and case management and a disease registry in the PCP office. Methods: Several data sets were analyzed including the EHR, an inpatient database, the disease registry, and the Social Security Death Master File. Traditional Medicare patients admitted to St. John's Hospital from 2000 to 2010 with a diagnosis of HF, were included resulting in data for 5 years before (Period 1) and 5 years after (Period 2) the 2005 inception of PGP. Results: Total admissions were 3559 in Period 1 and 3514 in Period 2. The prevalence of 3 co-morbid conditions in admitted patients increased during Period 2 [diabetes 35.3% (1256/3559) to 42.7% (1499/3514), p<0.001; hypertension 54.8% (1952/3559) to 70.4% (2475/3514), p<0.0001; and coronary artery disease 62.7% (2253/3559) to 66.4% (2332/3514), p=0.015] indicating that patients were getting more complex. HF admissions trended down significantly from Period 1 (709 annual average) to 2009 (637, p=0.007). The 30 day all cause readmission rate dropped in 2005 [16.9% (137/809)] from Period 1 [annual average 18.8% (671 / 3559), p=0.04] and remained stable thereafter [annual average 16.9% (595/3514)]. The 30 day mortality rate was flat from 2000 to 2009 [2.7(15/550)-5.0% (30/597), p=0.3] and increased in 2010 [8.6% (28/327), p<0.0001]. The use of pacemakers and ICDs was unchanged during Period 2 but ACE inhibitor and beta blocker use increased in PGP practices during 2005 and was constant thereafter. Conclusions: The HF program implemented by this PGP project was associated with decreased HF admissions and with increased clinical complexity of admitted patients. Despite this increasing complexity, the 30 day all cause readmission rate dropped in the first year of the program and remained stable thereafter. Finally, 30 day mortality rates were not adversely affected until the last year of the program. The increased mortality in 2010 may be due to a change in case mix but remains unexplained.

scholarly journals Tuberculosis sanatorium treatment at the advent of the chemotherapy era

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Erin D. Zwick ◽  
Caitlin S. Pepperell
Keyword(s):  
First Nations ◽  
Triple Therapy ◽  
Inpatient Treatment ◽  
Readmission Rate ◽  
Dual Therapy ◽  
Treatment Regimens ◽  
Tb Treatment ◽  
Major Transition ◽  
And Control ◽  
First Admission

Abstract Background The discovery of antibiotics in the mid-twentieth century marked a major transition in tuberculosis (TB) treatment and control. There are few studies describing the duration of TB disease and its treatment from the pre-chemotherapy era and little data on how these treatments changed in response to the development of effective antibiotics. The goal of this research is to understand how inpatient treatment for high incidence populations, the First Nations peoples of Saskatchewan, Canada, changed in response to increasing availability of antibiotics effective against TB. We expected that as treatment regimens transitioned from convalescence-only to triple antibiotic therapy, the length of inpatient treatment would shorten. Methods Analyses were performed on records of sanatoria admissions and discharges occurring between 1933 and 1959 in Saskatchewan, Canada. Year of antibiotic discovery was taken as a proxy for treatment regimen: no chemotherapy (pre-1944), mono-therapy (Streptomycin, 1944–1946), dual-therapy (Streptomycin and PAS, 1946–1952), and triple-therapy (Streptomycin, PAS, and INH 1952-). A pooled linear regression of log-transformed length of first admission as predicted by year of admission was modeled to assess the relationship between admission length and year of admission, corrected for clinical and demographic variables. Results First admission length increased 19% in the triple-therapy era as compared to the pre-chemotherapy era, from 316 days (10.4 months) to 377 days (12.4 months). After the discovery of INH (1952), we find statistically significant increases in the proportion of successfully completed therapies (0.55 versus 0.60, p = 0.035), but also in patients who left hospital against medical advice (0.19 versus 0.29, p < 0.0001), indicating that as hospitalizations lengthened, more patients chose to discharge without the sanction of their physician. The readmission rate increased from 10 to 50% of all admissions while the province-level TB-specific death rate fell from 63.1 per 10,000 in 1933 to 4.7 per 10,000 in 1958. Conclusion Counterintuitively, we find that the length of first admissions increased with the discovery of TB-treating antibiotics. Increasing admission volume and readmission rate indicate an intensification of inpatient TB treatment during this era. These analyses provide a novel estimate of the effect of changing treatment policy on sanatorium admissions in this population.

scholarly journals 763. 30 Day Readmission Outcomes in Patients Over 80 Years of Age Enrolled in an Outpatient Parenteral Antibiotic Therapy (OPAT) Program

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S339-S340
Author(s):  
Kathleen R Sheridan ◽  
Joshua Wingfield ◽  
Lauren McKibben ◽  
Natalie Clouse
Keyword(s):  
Readmission Rate ◽  
Chart Review ◽  
Age Groups ◽  
Retrospective Chart Review ◽  
Model Of Care ◽  
Readmission Rates ◽  
Parenteral Antibiotic ◽  
Patient Demographics

Abstract Background OPAT is a well-established model of care for the monitoring of patients requiring long-term IV antibiotics1. We have previously reported a reduction in the 30-day readmission rate to our facility for patients managed in our OPAT program. However, little has been published to date regarding outcomes in OPAT patients over 80 years of age 2–3. Our OPAT program was established in 2013. Patients can be discharged to a facility or home to complete their course of antibiotics. Methods We conducted a retrospective chart review of all OPAT patients discharged from our facility from 2015 to 2018. Patients were divided into two groups based on age, <80 (n = 4618) and >80 (n = 562). Results Patient demographics are listed in Table 1. The overall 30-day readmission rate for patients older than 80 was 27.8%. For patients over 80 that had a follow-up ID clinic appointment, the 30-day readmission rate decreased to 15.7%. For patients younger than 80, the 30-day readmission rate was 36.0% with a decrease to 16.2% if patients were evaluated in the outpatient clinic. Figure 1. Staphylococcus Aureus was the predominant organism in both age categories. Vancomycin was the most common antibiotic used in both age groups followed by β lactams. Conclusion In general, patients aged over 80 years were more likely to be discharged to a facility to complete their antibiotic course than younger patients. These patients also were more likely to have other comorbidities. The 30-day readmission rate in each age group was relatively similar. OPAT in patients over age 80 can have similar 30-day readmission rates as for patients less than 80 years of age Disclosures All authors: No reported disclosures.

scholarly journals Trajectory Modelling to Assess Trends in Long-Term Readmission Rate among Abdominal Aortic Aneurysm Patients

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Ahsan Rao ◽  
Alex Bottle ◽  
Collin Bicknell ◽  
Ara Darzi ◽  
Paul Aylin
Keyword(s):  
Abdominal Aortic Aneurysm ◽  
Readmission Rate ◽  
High Impact ◽  
Short Term ◽  
Readmission Rates ◽  
Abdominal Aortic ◽  
High Readmission Rate ◽  
Trajectory Modelling

Introduction. The aim of the study was to use trajectory analysis to categorise high-impact users based on their long-term readmission rate and identify their predictors following AAA (abdominal aortic aneurysm) repair. Methods. In this retrospective cohort study, group-based trajectory modelling (GBTM) was performed on the patient cohort (2006-2009) identified through national administrative data from all NHS English hospitals. Proc Traj software was used in SAS program to conduct GBTM, which classified patient population into groups based on their annual readmission rates during a 5-year period following primary AAA repair. Based on the trends of readmission rates, patients were classified into low- and high-impact users. The high-impact group had a higher annual readmission rate throughout 5-year follow-up. Short-term high-impact users had initial high readmission rate followed by rapid decline, whereas chronic high-impact users continued to have high readmission rate. Results. Based on the trends in readmission rates, GBTM classified elective AAA repair (n=16,973) patients into 2 groups: low impact (82.0%) and high impact (18.0%). High-impact users were significantly associated with female sex (P=0.001) undergoing other vascular procedures (P=0.003), poor socioeconomic status index (P<0.001), older age (P<0.001), and higher comorbidity score (P<0.001). The AUC for c-statistics was 0.84. Patients with ruptured AAA repair (n=4144) had 3 groups: low impact (82.7%), short-term high impact (7.2%), and chronic high impact (10.1%). Chronic high impact users were significantly associated with renal failure (P<0.001), heart failure (P = 0.01), peripheral vascular disease (P<0.001), female sex (P = 0.02), open repair (P<0.001), and undergoing other related procedures (P=0.05). The AUC for c-statistics was 0.71. Conclusion. Patients with persistent high readmission rates exist among AAA population; however, their readmissions and mortality are not related to AAA repair. They may benefit from optimization of their medical management of comorbidities perioperatively and during their follow-up.

scholarly journals Patient engagement with digital disease management and readmission rates: The case of congestive heart failure

2021 ◽  
Vol 27 (3) ◽  
pp. 146045822110309
Author(s):  
Rudin Gjeka ◽  
Kirit Patel ◽  
Chandra Reddy ◽  
Nora Zetsche
Keyword(s):  
Heart Failure ◽  
Congestive Heart Failure ◽  
Disease Management ◽  
Readmission Rate ◽  
Hospital Readmissions ◽  
The Elderly ◽  
Readmission Rates ◽  
Management Platform ◽  
High Readmission Rate ◽  
Remote Patient

Congestive heart failure (CHF) is one of the most common diagnoses in the elderly United States Medicare (⩾ age 65) population. This patient population has a particularly high readmission rate, with one estimate of the 6-month readmission rate topping 40%. The rapid rise of mobile health (mHealth) presents a promising new pathway for reducing hospital readmissions of CHF, and, more generally, the management of chronic conditions. Using a randomized research design and a multivariate regression model, we evaluated the effectiveness of a hybrid mHealth model—the integration of remote patient monitoring with an applied health technology and digital disease management platform—on 45-day hospital readmissions for patients diagnosed with CHF. We find a 78% decrease in the likelihood of CHF hospital readmission for patients who were assigned to the digital disease management platform as compared to patients assigned to control.

scholarly journals Age Based Trends for Unplanned Pediatric Rehospitalizations in the United States

2021 ◽  
Author(s):  
Nupur Amritphale ◽  
Amod Amritphale ◽  
Deepa Vasireddy ◽  
Mansi Batra ◽  
Mukul Sehgal ◽  
...  
Keyword(s):  
Hospital Readmission ◽  
Readmission Rate ◽  
Age Groups ◽  
The United States ◽  
Unplanned Readmission ◽  
Post Discharge ◽  
Readmission Rates ◽  
Discharge Care ◽  
Hospital Readmission Rate ◽  
Bowel Diseases

BACKGROUND AND OBJECTIVES: Hospital readmission rate helps to highlight the effectiveness of post- discharge care. There remains a paucity of plausible age based categorization especially for ages below one year for hospital readmission rates. METHODS: Data from 2017 Healthcare cost and utilization project National readmissions database was analyzed for ages 0-18 years. Logistic regression analysis was performed to identify predictors for unplanned early readmissions. RESULTS: We identified 5,529,389 inpatient pediatric encounters which were further divided into age group cohorts. The overall rate of readmissions was identified at 3.2%. Beyond infancy, the readmission rate was found to be 6.7%. Across all age groups, the major predictors of unplanned readmission were cancers, diseases affecting transplant recipients and sickle cell patients. It was determined that reflux, milk protein allergy, hepatitis and inflammatory bowel diseases were significant comorbidities leading to readmission. Anxiety, depression and suicidal ideation depicted higher readmission rates in those older than 13 years. Across ages 1-4 yrs, dehydration, asthma and bronchitis were negative predictors of unplanned readmission. CONCLUSIONS: Thirty-day unplanned readmissions remain a problem leading to billions of tax-payer-dollars lost per annum. Effective strategies for mandatory outpatient follow-up may help the financial aspect of care while also enhancing the quality of care.

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