The significance of pressure injuries and purpura in COVID-19 patients hospitalized at a large urban academic medical center: A retrospective cohort study.
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ABSTRACT:
SUBMITTER: Rrapi R
PROVIDER: S-EPMC7979268 | biostudies-literature | 2021 Aug
REPOSITORIES: biostudies-literature
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The significance of pressure injuries and purpura in COVID-19 patients hospitalized at a large urban academic medical center: A retrospective cohort study.
Rrapi Renajd R Chand Sidharth S Lo Jennifer A JA Gabel Colleen K CK Song Sarah S Holcomb Zachary Z Iriarte Christopher C Moore Kevin K Shi Connie R CR Song Hannah H Di Xia Fan F Yanes Daniel D Gandhi Rajesh R Triant Virginia A VA Kroshinsky Daniela D
Journal of the American Academy of Dermatology 20210320 2
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Project description:Inpatient medical injuries among children are common and result in a longer stay in hospital and increased hospital charges. However, previous studies have used screening criteria that focus on inpatient occurrences only rather than on injuries that also occur in ambulatory or community settings leading to hospital admission.To describe the incidence and outcomes of medical injuries among children hospitalized in Wisconsin using the Wisconsin Medical Injury Prevention Program (WMIPP) screening criteria.Cross sectional analysis of discharge records of 318,785 children from 134 hospitals in Wisconsin between 2000 and 2002.The WMIPP criteria identified 3.4% of discharges as having one or more medical injuries: 1.5% due to medications, 1.3% to procedures, and 0.9% to devices, implants and grafts. After adjusting for the All Patient Refined-Diagnosis Related Groups disease category, illness severity, mortality risk, and clustering within hospitals, the mean length of stay (LOS) was a half day (12%) longer for patients with medical injuries than for those without injuries. The similarly adjusted mean total hospital charges were 1614 dollars (26%) higher for the group with medical injuries. Excess LOS and charges were greatest for injuries due to genitourinary devices/implants, vascular devices, and infections/inflammation after procedures.This study reinforces previous national findings up to 2000 using Wisconsin data to the end of 2002. The results suggest that hospitals and pediatricians should focus clinical improvement on medications, procedures, and devices frequently associated with medical injuries and use medical injury surveillance to track medical injury rates in children.
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Project description:BackgroundPatient navigation, a patient-centered intervention to promote comprehensive health care, is an emerging innovation in obstetrics to optimize postpartum care. We aimed to evaluate the implementation of a novel postpartum patient navigation program at an urban academic medical center.MethodsThis mixed-methods study analyzed the implementation of a postpartum patient navigation program within an ongoing randomized control trial. This study analyzed three navigators' logs of interactions with 50 patients, care team members, and community organizations throughout patients' first year postpartum. We categorized and quantified interactions by topic addressed, care team member interacted with, and communication mode used. We also conducted semi-structured interviews with each navigator every three months (5 interviews per navigator), emphasizing navigation experiences, relationships with patients and care teams, integration in the care team, and healthcare system gaps. Interview data were analyzed using the constant comparative method to identify themes using the constructs of the Consolidated Framework for Implementation Research (CFIR).ResultsAnalysis of navigator logs revealed a high patient need level, especially in the first 3 months postpartum. CFIR-guided analysis of intervention characteristics revealed positive perceptions of navigation's utility due to its adaptability. Navigation's complexity, however, posed an early obstacle to implementation that diminished over time. Outer setting analysis indicated navigators addressed patient needs through interactions with multiple systems. Despite clinicians' initial unfamiliarity with navigation, inner setting analysis suggested ongoing communication and electronic medical record use facilitated integration into the care team. Regarding individual and process characteristics, findings emphasized how navigator self-efficacy and confidence increased with experience (individual) and was facilitated by comprehensive training and reflection (process). Overall, barriers to implementation included unfamiliarity, varied patient engagement, and innovation complexity. Facilitators included high patient need, communication with outside organizations, medical record usage, navigator characteristics (self-efficacy, communication skills, and personal growth), a comprehensive training period, consistent reflection, high relative advantage, and high adaptability to patient need.ConclusionPatient navigation is a promising innovation to improve postpartum care coordination and support care team efforts. The successful implementation of navigation in this study indicates that, if shown to improve patient outcomes, obstetric navigation could be a component of patient-centered postpartum care.
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Project description:ObjectiveThe pain prevalence of inpatients is not a well-studied medical issue in Asia. We have aimed to evaluate pain prevalence and characterize those patients who have suffered from severe, persistent pain.MethodsWe investigated pain prevalence using a quota sampling from 19 general wards during the year 2018. Using a structured questionnaire, eight interviewers visited patients at an age ≥ 20 years, and who had been staying in general wards for ≥ 3 days. Those patients were excluded if they were unable to respond to the interview questions. If they reported pain during hospitalization, the maximum pain level and the duration of pain suffered in the past 24 hours were assessed. Care-related pain was also surveyed.ResultsA total of 1,034 patients (M/F, 537/497) completed the survey. Amongst them, 719 patients (69.5%) experienced pain, with moderate and severe pain levels being 27.3% and 43%, respectively. Surgery was considered as it related to pain, including significantly severe pain. The top 3 care-related pain causes were needle pain, wound dressing, and change in position/chest percussion. Change in position/chest percussion and rehabilitation were associated with severe, persistent pain.ConclusionsPain is common in approximately 70% of inpatients, with surgery being associated with severe pain. Mobilization and rehabilitation may lead to severe, persistent pain. The periodic study of pain prevalence is essential in order to provide precise pain management.
| S-EPMC7721481 | biostudies-literature
Project description:ImportanceSome patients are avoiding essential care for fear of contracting coronavirus disease 2019 (COVID-19) in hospitals. There are few data, however, on the risk of acquiring COVID-19 in US hospitals.ObjectiveTo assess the incidence of COVID-19 among patients hospitalized at a large US academic medical center in the 12 weeks after the first inpatient case was identified.Design, setting, and participantsThis cohort study included all patients admitted to Brigham and Women's Hospital (Boston, Massachusetts) between March 7 and May 30, 2020. Follow-up occurred through June 17, 2020. Medical records for all patients who first tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by reverse-transcription polymerase chain reaction (RT-PCR) on hospital day 3 or later or within 14 days of discharge were reviewed.ExposuresA comprehensive infection control program was implemented that included dedicated COVID-19 units with airborne infection isolation rooms, personal protective equipment in accordance with US Centers for Disease Control and Prevention recommendations, personal protective equipment donning and doffing monitors, universal masking, restriction of visitors, and liberal RT-PCR testing of symptomatic and asymptomatic patients.Main outcomes and measuresWhether infection was community or hospital acquired based on timing of tests, clinical course, and exposures.ResultsOver the 12-week period, 9149 patients (mean [SD] age, 46.1 [26.4] years; median [IQR] age, 51 years [30-67 years]; 5243 female [57.3%]) were admitted to the hospital, for whom 7394 SARS-CoV-2 RT-PCR tests were performed; 697 COVID-19 cases were confirmed, translating into 8656 days of COVID-19-related care. Twelve of the 697 hospitalized patients with COVID-19 (1.7%) first tested positive on hospital day 3 or later (median, 4 days; range, 3-15 days). Of these, only 1 case was deemed to be hospital acquired, most likely from a presymptomatic spouse who was visiting daily and diagnosed with COVID-19 before visitor restrictions and masking were implemented. Among 8370 patients with non-COVID-19-related hospitalizations discharged through June 17, 11 (0.1%) tested positive within 14 days (median time to diagnosis, 6 days; range, 1-14 days). Only 1 case was deemed likely to be hospital acquired, albeit with no known exposures.Conclusions and relevanceIn this cohort study of patients in a large academic medical center with rigorous infection control measures, nosocomial COVID-19 was rare during the height of the pandemic in the region. These findings may inform practices in other institutions and provide reassurance to patients concerned about contracting COVID-19 in hospitals.
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Project description:Background Available studies are lacking in analysis of baseline demographics and hospital presentation of patients at risk of expiring due to coronavirus disease 2019 (COVID-19), particularly Black American patients. We conducted a retrospective chart review to determine similarities in demographics and hospital presentation among patients who expired due to COVID-19 at an academic medical center in Brooklyn, New York. Study design and methods This is a retrospective observational study of 200 patients who expired due to complications of COVID-19. Patients were included in this study if they had laboratory-confirmed SARS-CoV-2 infection and expired during their admission. Data were collected on patients who expired between March 17 and April 16, 2020. Results A vast majority of patients were Black Americans (89%) with no history of international travel who had more than one comorbidity (81%), with the most common comorbidities being hypertension (84·5%), diabetes mellitus (57·5%), and obesity (41·5%). Fifty-five percent of our patient population had three or more comorbidities. Among patients with available data, C-reactive protein, lactate dehydrogenase, and ferritin values were elevated above normal limits at admission. Dyspnea was the most common presenting symptom (92·5%). Most (90·5%) presented within the first week of symptoms, with a median time of symptoms prior to expiration being 8·42?days (IQR 5·57–12·72). Interpretation Socioeconomic status and healthcare inequalities have greatly affected the Black population of Brooklyn, New York, and these disparities become even more apparent in COVID-19 infection. Patients presenting with numerous comorbidities and elevated inflammatory markers represent a population at high risk of in-hospital mortality.
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Project description:BACKGROUND:The Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey is the first publicly reported nationwide survey to evaluate and compare hospitals. Increasing patient satisfaction is an important goal as it aims to achieve a more effective and efficient healthcare delivery system. In this study, we develop and apply an integrative, data-driven approach to identify clinical risk factors that associate with patient satisfaction outcomes. METHODS:We included 1,771 unique adult patients who completed the HCAHPS survey and were discharged from the inpatient Medicine service from 2010 to 2012. We collected 266 clinical features including patient demographics, lab measurements, medications, disease categories, and procedures. We developed and applied a data-driven approach to identify risk factors that associate with patient satisfaction outcomes. FINDINGS:We identify 102 significant risk factors associating with 18 surveyed questions. The most significantly recurrent clinical risk factors were: self-evaluation of health, education level, Asian, White, treatment in BMT oncology division, being prescribed a new medication. Patients who were prescribed pregabalin were less satisfied particularly in relation to communication with nurses and pain management. Explanation of medication usage was associated with communication with nurses (q = 0.001); however, explanation of medication side effects was associated with communication with doctors (q = 0.003). Overall hospital rating was associated with hospital environment, communication with doctors, and communication about medicines. However, patient likelihood to recommend hospital was associated with hospital environment, communication about medicines, pain management, and communication with nurse. CONCLUSIONS:Our study identified a number of putatively novel clinical risk factors for patient satisfaction that suggest new opportunities to better understand and manage patient satisfaction. Hospitals can use a data-driven approach to identify clinical risk factors for poor patient satisfaction to support development of specific interventions to improve patients' experience of care.
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Project description:BackgroundMany machine learning heuristics integrate well with Electronic Medical Record (EMR) systems yet often fail to surpass traditional statistical models for biomedical applications.ObjectiveWe sought to compare predictive performances of 12 machine learning and traditional statistical techniques to predict the occurrence of Hospital Acquired Pressure Injuries (HAPI).MethodsEMR information was collected from 57,227 hospitalizations acquired from Dartmouth Hitchcock Medical Center (April 2011 to December 2016). Twelve classification algorithms, chosen based upon classic regression and recent machine learning techniques, were trained to predict HAPI incidence and performance was assessed using the Area Under the Receiver Operating Characteristic Curve (AUC).ResultsLogistic regression achieved a performance (AUC = 0.91 ± 0.034) comparable to the other machine learning approaches. We report discordance between machine learning derived predictors compared to the traditional statistical model. We visually assessed important patient-specific factors through Shapley Additive Explanations.ConclusionsMachine learning models will continue to inform clinical decision-making processes but should be compared to traditional modeling approaches to ensure proper utilization. Disagreements between important predictors found by traditional and machine learning modeling approaches can potentially confuse clinicians and need to be reconciled. These developments represent important steps forward in developing real-time predictive models that can be integrated into EMR systems to reduce unnecessary harm.
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