Browsing by keyword "hospitalization"
Now showing items 1-6 of 6
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Differences in Hospital, Emergency Room and Outpatient Visits Among Adults With and Without Monoclonal Gammopathy of Undetermined SignificanceIntroduction: This study evaluated the impact of receiving a monoclonal gammopathy of undetermined significance (MGUS) diagnosis on healthcare utilization from patients at a community-based multispecialty provider organization. Methods: A cohort of patients with MGUS (n = 429) were matched on sex, age, and length of enrollment to a cohort of patients without MGUS (n = 1286). Healthcare utilization was assessed: 1-12 months before, 1 month before and after, and 1-12 months after diagnosis/index date. Multivariable conditional Poisson models compared change in utilization of each service in patients with and without MGUS. Results: During the 2 months around diagnosis/index date, the rates of emergency room, hospital and outpatient visits were higher for patients with MGUS than patients without MGUS. In the year before MGUS diagnosis, the association was still elevated, although attenuated. Conclusion: Understanding the care of MGUS patients is important given that multiple myeloma patients with a pre-existing MGUS diagnosis may have a better prognosis.
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Family Experiences with ICU Bedside Rounds: A Qualitative Descriptive Study: A DissertationThe hospitalization of a family member in an intensive care unit can be a very stressful time for the family. Family bedside rounds is one way for the care team to inform family members, answer questions, and involve them in care decisions. Few studies have examined the experiences of family members with ICU bedside rounds. A qualitative descriptive study, undergirded by the Family Management Style Framework developed by Knafl and Deatrick (1990, 2003) and Knafl, Deatrick, and Havill (2012), was done at an academic medical center examining families who both participated and did not participate in the family bedside rounds. The majority of families who participated (80%) found the process helpful. One overarching theme emerged from the data of participating families: Making a Connection: Comfort and Confidence. Two major factors influenced how that connection was made: consistency and preparing families for the future. Three types of consistency were identified: consistency with information being shared, consistency about when rounds were being held, and consistency with being informed of delays. The second major contributing factor was preparing families for the future. When a connection was present, families felt comfortable with the situation. When any of the factors were missing, families described feelings of anger, frustration, and fear. Family members who did not participate described feelings of disappointment and frustration about not having participated. As healthcare providers, what we say to families matters. They need to be included in decision-making with honest, consistent, easy-to-understand information.
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High-frequency hospital users: The tail that wags the readmissions dogOBJECTIVE: To describe the characteristics of high-frequency hospital users (four or more hospitalizations in a year) and the consequences of including or excluding their data from a readmission-based measure. DATA SOURCES: 2015 and 2016 Massachusetts Medicaid data. STUDY DESIGN: We compare demographics, morbidity burden, and social risk factors for high- and low-frequency hospital users, and membership in 17 accountable care organizations. We evaluate how excluding hospitalizations of high-frequency users from a 30-day readmission measure (with or without risk adjustment) changes its rate and variability and affects performance rankings of accountable care organizations. The outcome is readmission within 30 days; each live discharge from a hospital contributes one observation. DATA COLLECTION/EXTRACTION METHODS: We studied 74 706 hospitalizations of 42 794 MassHealth members, 18-64 years old, managed-care-eligible, and ever hospitalized in 2016. PRINCIPAL FINDINGS: Among adult managed-care-eligible MassHealth members with at least one acute hospitalization, 8.7% were high-frequency hospital users; they contributed 30.2% of hospitalizations and 69.4% of readmissions. High-frequency users were more often male (77.1% vs. 50.0%; P < 0.001) and sicker (mean medical morbidity score was 3.3 vs. 1.9; P < 0.001) than others. They also had significant social risks: 33.1% with housing problems, 44.1% disabled, 83.2% with serious mental illness, and 77.1% with substance abuse disorder (vs. 22.0%, 27.3%, 60.2%, and 50.0%, respectively, for other hospital users [all P values < 0.001]). Fully 50.7% of hospitalizations for high-frequency users led to 30-day readmissions (vs. 9.7%), contributing 72.0% of the variance in 30-day readmission, and substantially affecting judgments about the relative performance of accountable care organizations. CONCLUSIONS: A small group of high-frequency hospital users have a disproportionate effect on 30-day readmission rates. This negatively affects some Medicaid ACOs, and more broadly is likely to adversely affect safety net hospitals. How these metrics are used should be reconsidered in this context.
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Preliminary Outcomes from a Community Linkage Intervention for Individuals with Co-Occurring Substance Abuse and Serious Mental IllnessObjective: Few interventions assist individuals with a mental illness and a co-occurring substance abuse disorder in the transition from hospitalization to outpatient treatment. This change in care is often abrupt, resulting in fragmented treatment that jeopardizes recovery. This article reports on the preliminary outcomes from a new eight-week linkage intervention entitled “Time-Limited Case Management (TLC)” that integrates intensive outreach, Dual Recovery Therapy (DRT), and peer support to facilitate outpatient treatment engagement following discharge from Acute Psychiatry. Method: This eight-week naturalistic feasibility study included 59 recently hospitalized subjects with a mental illness and substance abuse disorder who were offered the new service. The individuals who agreed to receive TLC (n = 26) formed the treatment group and those who refused (n = 33) made up the comparison group. Results: The TLC service was successfully implemented into the system and improved the transition from inpatient to outpatient care. The individuals who received the TLC intervention had a higher show rate at the Day Treatment Center intake appointment, attended more days of treatment at the Day Center, had greater pharmacy refill compliance, and were less likely to be lost to follow-up at eight weeks than the comparison group. Conclusion: TLC represents a promising new approach to maintaining continuity in care following psychiatric hospitalization that may be easily implemented in other systems. We are currently in the process of developing an implementation manual and doing a large randomized controlled trial to determine whether the intervention improves substance abuse and psychiatric outcomes in addition to facilitating treatment engagement.
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Recurrent Clostridium difficile infection among Medicare patients in nursing homes: A population-based cohort studyWe explored the epidemiology and outcomes of Clostridium difficile infection (CDI) recurrence among Medicare patients in a nursing home (NH) whose CDI originated in acute care hospitals. We conducted a retrospective, population-based matched cohort combining Medicare claims with Minimum Data Set 3.0, including all hospitalized patients age > /=65 years transferred to an NH after hospitalization with CDI 1/2011-11/2012. Incident CDI was defined as ICD-9-CM code 008.45 with no others in prior 60 days. CDI recurrence was defined as (within 60 days of last day of CDI treatment): oral metronidazole, oral vancomycin, or fidaxomicin for > /=3 days in part D file; or an ICD-9-CM code for CDI (008.45) during a rehospitalization. Cox proportional hazards and linear models, adjusted for age, gender, race, and comorbidities, examined mortality within 60 days and excess hospital days and costs, in patients with recurrent CDI compared to those without. Among 14,472 survivors of index CDI hospitalization discharged to an NH, 4775 suffered a recurrence. Demographics and clinical characteristics at baseline were similar, as was the risk of death (24.2% with vs 24.4% without). Median number of hospitalizations was 2 (IQR 1-3) among those with and 0 (IQR 0-1) among those without recurrence. Adjusted excess hospital days per patient were 20.3 (95% CI 19.1-21.4) and Medicare reimbursements $12,043 (95% CI $11,469-$12,617) in the group with a recurrence.Although recurrent CDI did not increase the risk of death, it was associated with a far higher risk of rehospitalization, excess hospital days, and costs to Medicare.
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Risk of in-hospital falls among medications commonly used for insomnia in hospitalized patientsSTUDY OBJECTIVES: To investigate the risk of in-hospital falls among patients receiving medications commonly used for insomnia in the hospital setting. METHODS: Retrospective cohort study of all adult hospitalizations to a large academic medical center from January, 2007 to July, 2013. We excluded patients admitted for a primary psychiatric disorder. Medication exposures of interest, defined by pharmacy charges, included benzodiazepines, non-benzodiazepine benzodiazepine receptor agonists, trazodone, atypical antipsychotics, and diphenhydramine. In-hospital falls were ascertained from an online patient safety reporting system. RESULTS: Among the 225,498 hospitalizations (median age = 57 years; 57.9% female) in our cohort, 84,911 (37.7%) had exposure to at least one of the five medication classes of interest; benzodiazepines were the most commonly used (23.5%), followed by diphenhydramine (8.3%), trazodone (6.6%), benzodiazepine receptor agonists (6.4%), and atypical antipsychotics (6.3%). A fall occurred in 2,427 hospitalizations (1.1%). The rate of falls per 1,000 hospital days was greater among hospitalizations with exposure to each of the medications of interest, compared to unexposed: 3.6 versus 1.7 for benzodiazepines (adjusted hazard ratio [aHR] 1.8, 95%CI 1.6-1.9); 5.4 versus 1.8 for atypical antipsychotics (aHR 1.6, 95%CI 1.4-1.8); 3.0 versus 2.0 for benzodiazepine receptor agonists (aHR 1.5, 95%CI 1.3-1.8); 3.3 versus 2.0 for trazodone (aHR 1.2, 95%CI 1.1-1.5); and 2.5 versus 2.0 for diphenhydramine (aHR 1.2, 95%CI 1.03-1.5). CONCLUSIONS: In this large cohort of hospitalizations at an academic medical center, we found an association between each of the sedating medications examined and in-hospital falls. Benzodiazepines, benzodiazepine receptor agonists, and atypical antipsychotics had the strongest associations.
