Barriers and facilitators to goals of care conversations with Veteran residents of community nursing homes.

BACKGROUND: Despite evidence that structured goals of care conversations (GoCCs) and documentation of life-sustaining treatment (LST) preferences improve the delivery of goal-concordant care for seriously ill patients, rates of completion remain low among nursing home residents. The Preferences Elicited and Respected for Seriously Ill Veterans through Enhanced Decision-Making (PERSIVED) program aims to improve the consistent documentation of LST preferences among Veterans receiving care in veterans affairs (VA)-paid community nursing homes (CNH); however, the barriers and facilitators of completing and documenting GoCCs in this unique context of care have not been described. METHODS: We conducted semi-structured, qualitative interviews with key stakeholders of the VA CNH programs located at six VA Medical Centers between July 2021 and July 2022. With a rapid approach to analysis, interview transcripts were reduced into memo templates using the Tailored Implementation for Chronic Disease Checklist and coded and analyzed using qualitative data analysis software. RESULTS: The 40 participants consisted of nurses (n = 13), social workers (n = 25), and VA physicians (n = 2). Most participants felt confident about conducting GoCC; however, several barriers were identified. At the staff level, our results indicated inconsistent completion of GoCC and documentation due to a lack of training, confusion about roles and responsibilities, and challenging communication within the VA as well as with CNH. At the organizational level, there was a lack of standardization across sites for how LST preferences were documented. At the patient level, we found key barriers related to patient and family readiness and issues finding surrogate decision makers. While COVID-19 brought end-of-life issues to the forefront, lockdowns hindered communication about the goals of care. CONCLUSION: Findings from this pre-implementation evaluation revealed multi-level barriers in conducting and documenting GoCCs with Veterans receiving VA-paid CNH care, as well as several facilitators that can be used to inform strategies for improvement.

Transmission of COVID-19 in Nightlife, Household, and Health Care Settings in Tokyo, Japan, in 2020.

Importance: There have been few studies on the heterogeneous interconnection of COVID-19 outbreaks occurring in different social settings using robust, surveillance epidemiological data. Objectives: To describe the characteristics of COVID-19 transmission within different social settings and to evaluate settings associated with onward transmission to other settings. Design, Setting, and Participants: This is a case series study of laboratory-confirmed COVID-19 cases in Tokyo between January 23 and December 5, 2020, when vaccination was not yet implemented. Using epidemiological investigation data collected by public health centers, epidemiological links were identified and classified into 7 transmission settings: imported, nightlife, dining, workplace, household, health care, and other. Main Outcomes and Measures: The number of cases per setting and the likelihood of generating onward transmissions were compared between different transmission settings. Results: Of the 44 054 confirmed COVID-19 cases in this study, 25 241 (57.3%) were among male patients, and the median (IQR) age of patients was 36 (26-52) years. Transmission settings were identified in 13 122 cases, including 6768 household, 2733 health care, and 1174 nightlife cases. More than 6600 transmission settings were detected, and nightlife (72 of 380 [18.9%]; P < .001) and health care (119 [36.2%]; P < .001) settings were more likely to involve 5 or more cases than dining, workplace, household, and other settings. Nightlife cases appeared in the earlier phase of the epidemic, while household and health care cases appeared later. After adjustment for transmission setting, sex, age group, presence of symptoms, and wave, household and health care cases were less likely to generate onward transmission compared with nightlife cases (household: adjusted odds ratio, 0.03; 95% CI, 0.02-0.05; health care: adjusted odds ratio, 0.57; 95% CI, 0.41-0.79). Household settings were associated with intergenerational transmission, while nonhousehold settings mainly comprised transmission between the same age group. Among 30 932 cases without identified transmission settings, cases with a history of visiting nightlife establishments were more likely to generate onward transmission to nonhousehold settings (adjusted odds ratio, 5.30 [95% CI, 4.64-6.05]; P < .001) than those without such history. Conclusions and Relevance: In this case series study, COVID-19 cases identified in nightlife settings were associated with a higher likelihood of spreading COVID-19 than household and health care cases. Surveillance and interventions targeting nightlife settings should be prioritized to disrupt COVID-19 transmission, especially in the early stage of an epidemic.

Remote Learning Facilitated by MyScope Explore.

In response to the requirements imposed by the COVID-19 pandemic in 2020, we developed a remote learning undergraduate workshop for 44 students at the University of Newcastle by embedding scanning electron microscope (SEM) images of Maratus (Peacock) spiders into the MyScope Explore environment. The workshop session had two main components: 1) to use the online MyScope Explore tool to virtually image scales with structural color and pigmented color on Maratus spiders; 2) to join a live SEM session via Zoom to image an actual Maratus spider. In previous years, the undergraduate university students attending this annual workshop would enter the Microscopy Facility at the University of Newcastle to image specimens with SEM; however, in 2020 the Microscopy Facility was closed to student visitors, and this virtual activity was developed in order to proceed with the educational event. The program was highly successful and constitutes a platform that can be used in the future by universities for teaching microscopy remotely.

Nursing Home Residents Face Severe Functional Limitation or Death After Hospitalization for Pneumonia.

OBJECTIVES: Pneumonia is a common cause of hospitalization for nursing home residents and has increased as a cause for hospitalization during the COVID-19 pandemic. Risks of hospitalization, including significant functional decline, are important considerations when deciding whether to treat a resident in the nursing home or transfer to a hospital. Little is known about postdischarge functional status, relative to baseline, of nursing home residents hospitalized for pneumonia. We sought to determine the risk of severe functional limitation or death for nursing home residents following hospitalization for treatment of pneumonia. DESIGN: Retrospective cohort study. SETTING AND PARTICIPANTS: Participants included Medicare enrollees aged ≥65 years, hospitalized from a nursing home in the United States between 2013 and 2014 for pneumonia. METHODS: Activities of daily living (ADL), patient sociodemographics, and comorbidities were obtained from the Minimum Data Set (MDS), an assessment tool completed for all nursing home residents. MDS assessments from prior to and following hospitalization were compared to assess for functional decline. Following hospital discharge, all patients were evaluated for a composite outcome of severe disability (≥4 ADL limitations) following hospitalization or death prior to completion of a postdischarge MDS. RESULTS: In 2013 and 2014, a total of 241,804 nursing home residents were hospitalized for pneumonia, of whom 89.9% (192,736) experienced the composite outcome of severe disability or death following hospitalization for pneumonia. Although we found that prehospitalization functional and cognitive status were associated with developing the composite outcome, 53% of residents with no prehospitalization ADL limitation, and 82% with no cognitive limitation experienced the outcome. CONCLUSIONS AND IMPLICATIONS: Hospitalization for treatment of pneumonia is associated with significant risk of functional decline and death among nursing home residents, even those with minimal deficits prior to hospitalization. Nursing homes need to prepare for these outcomes in both advance care planning and in rehabilitation efforts.

What do we know about SARS-CoV-2 transmission? A systematic review and meta-analysis of the secondary attack rate and associated risk factors.

INTRODUCTION: Current SARS-CoV-2 containment measures rely on controlling viral transmission. Effective prioritization can be determined by understanding SARS-CoV-2 transmission dynamics. We conducted a systematic review and meta-analyses of the secondary attack rate (SAR) in household and healthcare settings. We also examined whether household transmission differed by symptom status of index case, adult and children, and relationship to index case. METHODS: We searched PubMed, medRxiv, and bioRxiv databases between January 1 and July 25, 2020. High-quality studies presenting original data for calculating point estimates and 95% confidence intervals (CI) were included. Random effects models were constructed to pool SAR in household and healthcare settings. Publication bias was assessed by funnel plots and Egger's meta-regression test. RESULTS: 43 studies met the inclusion criteria for household SAR, 18 for healthcare SAR, and 17 for other settings. The pooled household SAR was 18.1% (95% CI: 15.7%, 20.6%), with significant heterogeneity across studies ranging from 3.9% to 54.9%. SAR of symptomatic index cases was higher than asymptomatic cases (RR: 3.23; 95% CI: 1.46, 7.14). Adults showed higher susceptibility to infection than children (RR: 1.71; 95% CI: 1.35, 2.17). Spouses of index cases were more likely to be infected compared to other household contacts (RR: 2.39; 95% CI: 1.79, 3.19). In healthcare settings, SAR was estimated at 0.7% (95% CI: 0.4%, 1.0%). DISCUSSION: While aggressive contact tracing strategies may be appropriate early in an outbreak, as it progresses, measures should transition to account for setting-specific transmission risk. Quarantine may need to cover entire communities while tracing shifts to identifying transmission hotspots and vulnerable populations. Where possible, confirmed cases should be isolated away from the household.