Implementing the Serious Illness Care Program in Safety Net Health Systems: A Qualitative Study.

CONTEXT: Interventions to improve the quality of care for people affected by serious illness commonly fail to reach patients from marginalized and underserved communities, which include those characterized by racialized or indigenous identity, sexual and gender minority status, and rural living. Interventions to improve care through serious illness conversations have demonstrated benefit, but little is known about their implementation in health systems that predominantly serve these patient groups. OBJECTIVES: The study aimed to understand factors influencing implementation of a serious illness communication-focused intervention-the Serious Illness Care Program in health systems who primarily provide care to marginalized and underserved communities. METHODS: Qualitative interviews (16) and focus groups (3) were conducted with 19 interdisciplinary team members from six geographically diverse U.S. healthcare systems. Using a template analysis approach, investigators coded data inductively and deductively to identify themes. RESULTS: Three themes emerged: patient factors, intervention elements, and health system contextual factors. Participants highlighted mission-driven efforts, creativity, interprofessional practice, and trainees as enablers of success. They identified weaknesses in the intervention's communication tool-the Serious Illness Conversation Guide as barriers to implementation of conversations. Resource constraints, socio-economic vulnerability, and mistrust in the health system were seen as additional barriers. CONCLUSIONS: Health systems that provide care to underserved and marginalized communities face unique challenges implementing the Serious Illness Care Program. They also possess assets, some unique to these settings, that support program adoption. Findings suggest that implementation of similar programs in low-resource healthcare settings may help address unmet needs among marginalized populations.

Development, Implementation, and Outcomes of a Serious Illness Care Community of Practice.

CONTEXT: Communities of Practice (CoP) can help geographically separated individuals who share a joint enterprise, mutual engagement, and a repertoire of tools to gain, maintain, and implement new skills, including serious illness communication. OBJECTIVES: To investigate the health system uptake, implementation and outcomes of the Serious Illness Community of Practice (SICoP). METHODS: Participants included members of the online SICoP, including participants from all 50 states in the United States and 44 countries, interested in implementation of the Serious Illness Care Program. Yearly surveys asked members about their program's composition, completed trainings, number of serious illness conversations, and utilization of the online SICoP tools and resources. RESULTS: Over four years, membership in the SICoP increased from 429 to 1,912, with an estimated 17,785 clinicians trained and 38,945 serious illness conversations conducted. Members have continued to utilize and modify the SICoP resources. CONCLUSIONS: Utilizing a CoP has contributed to improving the health care system implementation and process outcomes of serious illness communication training. KEY MESSAGE: This article describes the implementation and health system outcomes of a Community of Practice developed to support serious illness communication. The results indicate that the membership of the community grew and that the community supported growth in the number of trained clinicians and the number of serious illness conversations conducted.

Communication Tools to Support Advance Care Planning and Hospital Care During the COVID-19 Pandemic: A Design Process.

The COVID-19 pandemic has exposed the medical and social vulnerability of an unprecedented number of people. Consequently, there has never been a more important time for clinicians to engage patients in advance care planning (ACP) discussions about their goals, values, and preferences in the event of critical illness. An evidence-based communication tool-the Serious Illness Conversation Guide-was adapted to address COVID-related ACP challenges using a user-centered design process: convening relevant experts to propose initial guide adaptations; soliciting feedback from key clinical stakeholders from multiple disciplines and geographic regions; and iteratively testing language with patient actors. With feedback focused on sharing risk about COVID-19-related critical illness, recommendations for treatment decisions, and use of person-centered language, the team also developed conversation guides for inpatient and outpatient use. These tools consist of open-ended questions to elicit perception of risk, goals, and care preferences in the event of critical illness, and language to convey prognostic uncertainty. To support use of these tools, publicly available implementation materials were also developed for clinicians to effectively engage high-risk patients and overcome challenges related to the changed communication context, including video demonstrations, telehealth communication tips, and step-by-step approaches to identifying high-risk patients and documenting conversation findings in the electronic health record. Well-designed communication tools and implementation strategies can equip clinicians to foster connection with patients and promote shared decision making. Although not an antidote to this crisis, such high-quality ACP may be one of the most powerful tools we have to prevent or ameliorate suffering due to COVID-19.

Functional and genetic markers of niche partitioning among enigmatic members of the human oral microbiome.

INTRODUCTION: Microbial residents of the human oral cavity have long been a major focus of microbiology due to their influence on host health and intriguing patterns of site specificity amidst the lack of dispersal limitation. However, the determinants of niche partitioning in this habitat are yet to be fully understood, especially among taxa that belong to recently discovered branches of microbial life. RESULTS: Here, we assemble metagenomes from tongue and dental plaque samples from multiple individuals and reconstruct 790 non-redundant genomes, 43 of which resolve to TM7, a member of the Candidate Phyla Radiation, forming six monophyletic clades that distinctly associate with either plaque or tongue. Both pangenomic and phylogenomic analyses group tongue-specific clades with other host-associated TM7 genomes. In contrast, plaque-specific TM7 group with environmental TM7 genomes. Besides offering deeper insights into the ecology, evolution, and mobilome of cryptic members of the oral microbiome, our study reveals an intriguing resemblance between dental plaque and non-host environments indicated by the TM7 evolution, suggesting that plaque may have served as a stepping stone for environmental microbes to adapt to host environments for some clades of microbes. Additionally, we report that prophages are widespread among oral-associated TM7, while absent from environmental TM7, suggesting that prophages may have played a role in adaptation of TM7 to the host environment. CONCLUSIONS: Our data illuminate niche partitioning of enigmatic members of the oral cavity, including TM7, SR1, and GN02, and provide genomes for poorly characterized yet prevalent members of this biome, such as uncultivated Flavobacteriaceae.

Microbiome-based body fluid identification of samples exposed to indoor conditions.

In the forensic reconstruction of crime scene activities, the identification of biological traces and their bodily origin are valuable evidence that can be presented in court. While several presumptive and confirmatory tests are currently available, the limitations in specificity and sensitivity have instigated a search for alternative methods. Bacterial markers have been proposed as a novel approach for forensic body fluid/tissue identification. Bacteria are not only ubiquitous throughout the human body, but also, as shown by recent microbiome sequencing studies of the 16S rRNA gene, bacterial community structures are distinct across body sites. Traces and stains at crime scenes are, however, often exposed to the environment outside the human body for variable periods of time before laboratory processing. Thus, it is not clear whether exposed samples continue to harbor microbial signatures characteristic of their body site of origin. In this proof-of-concept study we collected samples from six different body sites: saliva, skin, peripheral blood, vaginal fluid, menstrual blood and semen. We exposed a subset of these samples to indoor conditions for 30 days while the remaining samples were processed directly after extraction. Our analyses of 16S rRNA gene sequence data for a total of 46 control and exposed samples show that both types of samples group by body site, although a few outliers are observed. Based on our results, vaginal and menstrual samples share their microbial signatures, and cannot be distinguished using bacterial markers. Overall, our findings indicate that bacterial markers are a promising avenue for forensic body fluid/tissue identification.