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.

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.

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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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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