Implementing a Machine Learning Screening Tool for Malnutrition: Insights From Qualitative Research Applicable to Other Machine Learning-Based Clinical Decision Support Systems.

BACKGROUND: Machine learning (ML)-based clinical decision support systems (CDSS) are popular in clinical practice settings but are often criticized for being limited in usability, interpretability, and effectiveness. Evaluating the implementation of ML-based CDSS is critical to ensure CDSS is acceptable and useful to clinicians and helps them deliver high-quality health care. Malnutrition is a common and underdiagnosed condition among hospital patients, which can have serious adverse impacts. Early identification and treatment of malnutrition are important. OBJECTIVE: This study aims to evaluate the implementation of an ML tool, Malnutrition Universal Screening Tool (MUST)-Plus, that predicts hospital patients at high risk for malnutrition and identify best implementation practices applicable to this and other ML-based CDSS. METHODS: We conducted a qualitative postimplementation evaluation using in-depth interviews with registered dietitians (RDs) who use MUST-Plus output in their everyday work. After coding the data, we mapped emergent themes onto select domains of the nonadoption, abandonment, scale-up, spread, and sustainability (NASSS) framework. RESULTS: We interviewed 17 of the 24 RDs approached (71%), representing 37% of those who use MUST-Plus output. Several themes emerged: (1) enhancements to the tool were made to improve accuracy and usability; (2) MUST-Plus helped identify patients that would not otherwise be seen; perceived usefulness was highest in the original site; (3) perceived accuracy varied by respondent and site; (4) RDs valued autonomy in prioritizing patients; (5) depth of tool understanding varied by hospital and level; (6) MUST-Plus was integrated into workflows and electronic health records; and (7) RDs expressed a desire to eventually have 1 automated screener. CONCLUSIONS: Our findings suggest that continuous involvement of stakeholders at new sites given staff turnover is vital to ensure buy-in. Qualitative research can help identify the potential bias of ML tools and should be widely used to ensure health equity. Ongoing collaboration among CDSS developers, data scientists, and clinical providers may help refine CDSS for optimal use and improve the acceptability of CDSS in the clinical context.

A changing supply chain for a changing health care system: Barriers and facilitators of implementing enterprise resource planning.

BACKGROUND: No studies have examined how health care mergers and acquisitions affected the hospital supply chain and its employees since the passing of the Patient Protection and Affordable Care Act. OBJECTIVE: To describe the barriers and facilitators of digital transformation in a hospital supply chain from the employee perspective. METHODS: We conducted two rounds of interviews, one year apart, with supply chain employees at an urban academic health system preparing to adopt an enterprise resource planning (ERP) software (N = 11 in Round I and N = 8 in Round II). Two researchers coded transcripts for themes using NVivo 11. RESULTS: We identified the following barriers to technology integration: silos between supply chain groups (e.g. Purchasing, Information Management, Strategic Sourcing), between employees and management, and resulting from prior mergers; focus on short-term problems and fear of change; and lack of transparent communication about upcoming changes. Facilitators of technology integration included motivation to work in supply chain; long-term vision that allowed tolerance of change and positive outlook; and transparent communication. CONCLUSION: Desire for shared leadership among employees emerged as a major theme, indicating the need for active involvement of employees during transition to new integrative technology.

A national qualitative study of Hospital-at-Home implementation under the CMS Acute Hospital Care at Home waiver.

BACKGROUND: The Centers for Medicare & Medicaid Services (CMS) announced the Acute Hospital Care at Home (AHCaH) waiver program in November 2020 to help expand hospital capacity to cope with the COVID-19 pandemic. The AHCaH waived the 24/7 on-site nursing requirement and enabled hospitals to obtain full hospital-level diagnosis-related group (DRG) reimbursement for providing Hospital-at-Home (HaH) care. This study sought to describe AHCaH implementation processes and strategies at the national level and identify challenges and facilitators to launching or adapting a HaH to meet waiver requirements. METHODS: We conducted semi-structured interviews to explore barriers and facilitators of HaH implementation. The analysis was informed by the Exploration, Preparation, Implementation, and Sustainment (EPIS) implementation framework. Interviews were audio recorded for transcription and thematic coding. PRINCIPAL FINDINGS: We interviewed a sample of clinical leaders (N = 18; clinical/medical directors, operational and program managers) from 14 new and pre-existing U.S. HaH programs diverse by size, urbanicity, and geography. Participants were enthusiastic about the AHCaH waiver. Participants described barriers and facilitators at planning and implementation stages within three overarching themes influencing waiver program implementation: 1) institutional value and assets; 2) program components, such as electronic health records, vendors, pharmacy, and patient monitoring; and 3) patient enrollment, including eligibility and geographic limits. CONCLUSIONS: Implementation of AHCaH waiver is a complex process that requires building components in compliance with the requirements to extend the hospital into the home, in coordination with internal and external partners. The study identified barriers that potential adopters and proponents should consider alongside the strategies that some organizations have found useful. Clarity regarding the waiver's future may expedite HaH model dissemination and ensure longevity of this valuable model of care delivery.

A Mixed-methods Assessment of the Impact of Insurance Issues on the Emotional and Physical Health of Patients With Inflammatory Bowel Disease.

BACKGROUND: In patients with inflammatory bowel disease (IBD), failure to adhere to treatment regimens due to insurance issues can lead to disease complications. Our aim was to examine patients' perceptions of the impact of insurance issues on their health. METHODS: Twenty-nine patients with IBD at a large US academic center and an insurance issue participated in a mixed-methods study. Retrospective chart review and an online questionnaire were completed to collect demographic information, IBD characteristics, and validated resilience scores. Semistructured interviews were completed for insurance experiences, which were coded independently by 2 coders for themes. RESULTS: Twenty-nine patients completed the interview, and 24 completed the online survey. Sixteen had Crohn's disease, 13 had ulcerative colitis, and 66% were female. The most common insurance issue was lapsed insurance. Many experienced physical consequences, with 58% having flares, 14% undergoing surgery, and 14% developing antibodies. All emotional responses were negative, with the majority feeling stressed (38%). Providers were uninformed of insurance issues in 28% of cases. When asked about perceived resilience, 41% felt incapable of managing the situation, and 45% gave up trying to solve the problem. When asked how to improve going forward, 38% requested an easily accessible advocate to guide them. CONCLUSIONS: A large proportion of our cohort chose not to inform their provider, felt incapable of managing on their own, and gave up on resolving their insurance issue. This highlights the need to consider restructuring the insurance system, to identify those at risk for insurance issues, and to make advocates available to avoid devastating consequences.

Few studies have qualitatively examined the impact of insurance issues on the health of patients with IBD. We highlight the need to identify patients at risk of insurance issues and when they occur so as to make advocates available to avoid disease complications.

Improving Postpartum Care: Identifying Opportunities to Reduce Postpartum Emergency Room Visits Among Publicly-Insured Women of Color.

BACKGROUND/OBJECTIVES: The purpose of this study was to explore the postpartum experiences of publicly-insured women of color, and identify how postpartum care can be improved to reduce hospital emergency department usage after delivery. METHODS: We conducted four focus groups with 18 publicly-insured women who primarily self-identified as Black and/or Latina and gave birth between June 1, 2019 and May 1, 2020. We used inductive qualitative analysis to identify prominent themes from focus group discussions. RESULTS: We identified four domains: (1) lack of access to and communication with a medical team; (2) lack of preparation; (3) value of social support; and (4) participant-identified opportunities for improvement. CONCLUSIONS FOR PRACTICE: This study describes the postpartum experiences of publicly-insured women of color with the objective of identifying areas for intervention to reduce postpartum emergency department usage. Our findings suggest that focused efforts on enhancing continuity of care to increase healthcare access, strengthening patient-provider communication by training providers to recognize unconscious bias, increasing postpartum preparation by adapting teaching materials to an online format, and engaging women's caregivers throughout the pregnancy course to bolster social support, may be beneficial.