Association of Timely Outpatient Follow-Up and Readmission Risk in a Mobile Integrated Health Program.

The objective was to identify medical conditions associated with 30-day readmission, determine patient characteristics for which outpatient follow-up is most associated with reduced readmission, and evaluate how readmission risk changes with time to outpatient follow-up within a mobile integrated health-community paramedicine (MIH-CP) program. This retrospective observational study used data from 1,118 adult patient enrollments in a MIH-CP program operating in Baltimore, Maryland, from May 14, 2018, to December 21, 2021. Bivariate analysis identified chronic disease exacerbations associated with higher 30-day readmission risk. Kaplan-Meier curves and Cox proportional hazard regressions were used to measure how hazard of readmission changes with outpatient follow-up and how that association may vary with other factors. Receiver operating characteristic analysis was used to evaluate how well time to follow-up could predict 30-day readmission. Timely outpatient follow-up was associated with a significant reduction in hazard of readmission for patients aged 50 and younger and for patients with fewer than 5 social determinants of health needs identified. No significant association between readmission and specific chronic disease exacerbations was observed. An optimal follow-up time frame to reduce readmissions could not be identified. Timely outpatient follow-up may be effective for reducing readmissions in younger patients and patients who are less socially complex. Programs and policies aiming to reduce 30-day readmissions may have more success by expanding efforts to include these patients.

Real-World Data for Interdisciplinary Health Care Research: A Case Example.

Real-word data (RWD) refer to data relating to patient health status and/or the delivery of health care routinely collected from a variety of sources, including electronic health records, medical claims data, and patient-generated data. Data sets that combine personal health data stored in different sources can provide a more complete picture of an individual's health and can be used to improve population health through research and practice. The 2-tiered aim of this article is to provide a brief introduction to using RWD in health care research and to present a case study that demonstrates data curation and data merge from different sources while highlighting the benefits and limitations of using RWD. The current digital health ecosystem and value-based care approach highlight the need to use RWD to catalyze the advancement of health care research and practice. This is an excellent field that nurse researchers can lead, as they have an innate understanding of such data and data sources.

Evaluating Social Determinants of Health in a Mobile Integrated Healthcare-Community Paramedicine Program.

In 2018, the University of Maryland Medical Center and the Baltimore City Fire Department implemented a community paramedicine program to help medically or socially complex patients transition from hospital to home and avoid hospital utilization. This study describes how patients' social determinants of health (SDoH) needs were identified, and measures the association between needs and hospital utilization. SDoH needs were categorized into ten domains. Multinomial logistic regression was used to measure association between identified SDoH domains and predicted risk of readmission. Poisson regression was used to measure association between SDoH domains and actual 30-day hospital utilization. The most frequently identified SDoH needs were in the Coordination of Healthcare (37.7%), Durable Medical Equipment (18.8%), and Medication (16.3%) domains. Compared with low-risk patients, patients with an intermediate risk of readmission were more likely to have needs within the Coordination of Healthcare (RRR [95% CI] 1.12 [1.01, 1.24], p = 0.032) and Durable Medical Equipment (RRR = 1.13 [1.00, 1.27], p = 0.046) domains. Patients with the highest risk for readmission were more likely to have needs in the Utilities domain (RRR = 1.76 [0.97, 3.19], p = 0.063). Miscellaneous domain needs, such as requiring a social security card, were associated with increased 30-day hospital utilization (IRR = 1.23 [0.96, 1.57], p = 0.095). SDoH needs within the Coordination of Healthcare, Durable Medical Equipment, and Utilities domains were associated with higher predicted 30-day readmission, while identification documentation and social services needs were associated with actual readmission. These results suggest where to allocate resources to effectively diminish hospital utilization.

Evaluating the Impact of a Mobile Integrated Health‒Community Paramedicine Program on Health-Related Social Needs and Hospital Readmissions.

OBJECTIVE: Evaluate a mobile integrated health-community paramedicine program's effect on addressing health-related social needs and their association with hospital readmissions. METHODS: This observational study enrolled 1,003 patients from 5/4/2018-7/23/21. Descriptive statistics summarize social needs. A Poisson regression model examined the association of interventions for social needs with 30-day readmissions. RESULTS: Patients who had their medication-related needs fully addressed had a 65% lower rate of total 30-day readmission compared with patients who had no such needs fully addressed (IRR=0.35, 95% CI 0.18-0.68, P=.002). No variables reached statistical significance related to unplanned 30-day readmissions, aside from the HOSPITAL Score. CONCLUSIONS: Assisting patients with medication-related needs is associated with reductions in overall 30-day readmissions. Interventions within most domains were not associated with reductions in overall or unplanned 30-day readmissions. This program had greater success addressing needs with one-step interventions, suggesting additional time and resources may be necessary to address complex social needs.

Analysis of Readmissions in a Mobile Integrated Health Transitional Care Program Using Root Cause Analysis and Common Cause Analysis.

ABSTRACT: Mobile integrated health and community paramedicine (MIH-CP) programs are gaining popularity in the United States as a strategy to address the barriers to healthcare access and appropriate utilization. After one year of operation, leadership of Baltimore City's MIH-CP program was interested in understanding the circumstances surrounding readmission for enrolled patients and to incorporate quality improvement tools to direct program development. Retrospective chart review was performed to determine preventable versus unpreventable readmissions with a hypothesis that deficits in social determinants of health would play a more significant role in preventable readmissions. In the studied population, at least one root cause that can be considered a social determinant of health was present in 75.8% of preventable readmissions versus only 15.2% of unpreventable readmissions. Root Cause Analysis highlighted health literacy, functional status, and behavioral health issues among the root causes that most heavily influence preventable readmissions. Common Cause Analysis results suggest our MIH-CP program should focus its resources on mitigating poor health literacy and functional status. This project's findings successfully directed leadership of the city's MIH-CP program to modify program processes and advocate for the use of these quality improvement tools for other MIH-CP programs.

Older Adults' Perception on and Use of Patient Portals: A Comparative Analysis of Two Samples.

Older adults can benefit from using patient portals. Little is known whether perception of and use of patient portals differ among older adults in diverse healthcare contexts. This study analyzed the difference in perceived usability, self-efficacy, and use of patient portals between older adults recruited from a healthcare system (n = 174) and older adults recruited from nationwide communities (n = 126). A secondary data analysis was conducted using the data sets of two independent studies. A series of linear and ordinal logistic regression analyses were performed. The healthcare system sample had more health issues, higher levels of perceived usability and self-efficacy, and frequent use of patient portals compared with the community sample. This study indicates that efforts to improve usability of patient portals and self-efficacy are essential for all older adult users. The association between perceived usability and patient portal use was stronger in the community sample than in the healthcare system sample, suggesting that approaches to support older adults' efficient use of patient portals should be tailored to their health status and care needs. Future studies may include inpatient and outpatient portals and investigate the impact on health outcomes of older adults across care settings.

Development of an academic-practice partnership model to anchor care coordination and population health.

The National Academy of Medicine's The Future of Nursing 2020-2030 recommends the expansion of the role of nurses throughout the continuum of health care in an effort to improve the health of the nation while decreasing costs. To accomplish this goal, nursing students and nurses must be well prepared to perform at their highest capacity to meet health care demands. Currently the U.S. health care delivery system is undergoing rapid changes that affect approaches to delivering care services. These changes call for education and practice reforms in nursing. This article introduces an innovative academic-practice partnership model (the University of Maryland Nursing [UMNursing] Care Coordination Implementation Collaborative), including its background, development, and blueprint for a large implementation project. The implementation model integrates nursing education and practice in areas of care co-ordination and population health, which have a significant impact on the Triple Aim of health. The project also uniquely integrates education, practice, and research, with the ultimate outcome of higher quality patient care.

Testing a Model of Patient Portal Use in Adult Patients.

PURPOSE: The aim of this study was to test a modified version of the Technology Acceptance Model, which describes users' technology adoption, to examine the relations between patient portal use and potential influencing factors in adult patients who have used patient portals. The modified model posits that patient portal use can be explained by attitude and self-efficacy for using patient portals, perceived usefulness and ease of use, data privacy and security concerns, eHealth literacy, education level, and age. DESIGN: A cross-sectional anonymous online survey was conducted for adult patients who had used their patient portals in the past 12 months. METHODS: Participants were recruited from 20 settings selected in a large integrated health care system. Data from 743 patients were subject to structural equation modeling for model testing. FINDINGS: Sixty-eight percent were White and female, with a mean age of 53.1 years (SD = 15.34). Forty-seven percent used patient portals about monthly or more frequently. Scores for perceived usefulness and ease of use of patient portals were relatively high (as measured using the modified Perceived Health Web Site Usability Questionnaire; each item mean, 6.0-6.2; range, 1-7). The final model adequately fit the data (comparative fit index = .983, standardized root mean square residual = .064, root mean square error of approximation = .059). Patient portal self-efficacy and data privacy and security concerns had a direct impact on patient portal use. Perceived usefulness and ease of use, eHealth literacy, education level, and age indirectly influenced patient portal use. CONCLUSIONS: This study contributes to expanding a theoretical understanding of adult patients' patient portal use in a real health care environment. Future studies need to include more diverse populations in various settings. CLINICAL RELEVANCE: Knowledge gained from this study can be used by technology experts to make patient portals more user friendly and by administrators to implement patient portals more effectively.

Development of a Logic Model to Guide Implementation and Evaluation of a Mobile Integrated Health Transitional Care Program.

To provide medical and social services to underserved communities, many health care organizations across the United States have expanded the role of emergency medical services to include mobile integrated health and community paramedicine (MIH-CP). Although MIH-CP programs differ in structure and setting, many share the common goal of improving health through home-based, patient-centered care management models. Ideally, these innovative programs reduce use of health care services, including 911 (US emergency system) calls and emergency department visits. In 2018 a large, urban academic medical center partnered with the city's fire department to establish an MIH-CP program to support patients as they transition in their first 30 days at home after hospitalization. Prior to launch, a multidisciplinary team developed a logic model to guide development, implementation, and evaluation of this complex and innovative program. This paper describes the team's structured process for developing a logic model. It also describes key components of the initial logic model and the Transitional Health Support program structure, as well as subsequent revisions to both.

Achieving quality health outcomes through the implementation of a spontaneous awakening and spontaneous breathing trial protocol.

BACKGROUND: Continuous sedation infusions can lead to prolonged treatment with mechanical ventilation (MV), resulting in serious complications. Spontaneous awakening trials (SATs) and spontaneous breathing trials (SBTs) are strategies that limit the amount of sedative agents a patient receives and promote extubation. OBJECTIVE: The objective of this performance improvement project was to evaluate the outcomes of an evidence-based practice protocol that included SATs and SBTs on the duration of treatment with MV, ventilator utilization ratio (VUR), intensive care unit (ICU) length of stay (LOS), and incidence of self-extubations and reintubations. METHODS: A convenience sample of 112 discharged patients' medical records was used for this descriptive, comparative secondary data analysis. An evidence-based SAT/SBT practice protocol was designed by a multidisciplinary team and implemented. Three months after the implementation, a retrospective medical record review was conducted to evaluate patient outcomes. RESULTS: The median duration of treatment with MV was significantly lower in the postprotocol group (3.8 days vs 2.7 days, U = 1222, Z = -2.013, P = .04, r = 0.19). A significant decrease was found in the VUR (0.68 vs 0.52, U = 2.5, Z = -2.293, P = .02, r = 0.69). No difference was found in the ICU LOS and frequency of self-extubation or reintubation after a self-extubation between the preprotocol and postprotocol groups. Ten of 45 SAT opportunities (22%) and 67 of 130 SBT opportunities (52%) were missed by the nurse or the respiratory therapist. CONCLUSION: The duration of treatment with MV and the VUR were reduced in patients who received the SAT/SBT protocol. The incidence of self-extubation was not different when an SAT was implemented. The ICU LOS was not reduced in patients who received SATs and SBTs.

Best practices in orthopaedic inpatient care.

Most patients admitted in the hospital requiring skilled nursing care are at risk for adverse events or complications from their conditions and treatments. They require close observation during their hospital stays, and care providers must be prepared to detect and intervene quickly when complications occur. Orthopaedic patients are a unique surgical patient population in that their underlying physical conditions, operative locations, and comorbidities can place them at higher risk for complications or adverse events than many other surgical patients. Orthopaedic patients are usually admitted to general acute care surgical units where there are no monitoring devices and the staffing ratios are less intense. In the event that a higher level of surveillance is needed, current practice is to transfer the patient to a care area with telemetry or hardwired monitoring capability, which can result in deviation from the orthopaedic care pathway. In this article, we describe the implementation of best care practices that combine lower nurse to patient ratios, innovative and effective patient education, and continuous surveillance using novel technology in an orthopaedic unit. Data demonstrate that this multifaceted approach to high-quality orthopaedic care has contributed to better patient outcomes.

The intersection of evidence-based practice with 5 quality improvement methodologies.

In this department, the authors highlight hot topics in nursing outcomes, research, and evidence-based practice relevant to the nurse administrator. The goal is to discuss the practical implications for nurse leaders in diverse healthcare settings. Content includes evidence-based projects and decision making, locating measurement tools for quality improvement and safety projects, using outcome measures to evaluate quality, practice implications of administrative research, and exemplars of projects that demonstrate innovative approaches to organizational problems. In this article, the authors describe the intersection of various quality improvement methodologies with the evidence-based practice process. Five quality improvement approaches, plan-do-check-act, Six Sigma, Lean, root cause analysis, and failure mode effects analysis, are described and are used to frame examples.

Evaluating transitions of care of hospitalized medical patients to long-term care facilities: a retrospective review of venous thromboembolism prophylaxis.

Venous thromboembolism (VTE) is a significant but preventable cause of hospital-related morbidity and mortality. Prevention of in-hospital VTE, thus, has become a major quality improvement initiative within hospitals. However, addressing VTE prophylaxis rates and appropriateness on transition to other facilities has not been fully characterized to date. The authors of this study retrospectively evaluated VTE prophylaxis on transfer from medical inpatient settings to long-term care facilities. Analysis indicated that on transfer to other facilities, VTE prophylaxis recommendations were not routinely documented. Interfacility communication is crucial to ensure that appropriate prophylaxis recommendations are addressed during transitions of care. New processes evaluating VTE prophylaxis recommendations at the time of care transfer warrant further study.