Anthony Hudzik

Bio: Anthony Hudzik is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Health care & Psychological intervention. The author has an hindex of 1, co-authored 2 publications receiving 7 citations.

A scoping review of community paramedicine: evidence and implications for interprofessional practice.

Abstract: Community paramedicine (CP) is an evolving method of providing community-based health care in which paramedics function outside of their traditional emergency response roles in order to improve access to primary and preventive health care and to basic social services. Early evidence indicates that CP programs have contributed to reducing health care utilization and improving patient outcomes leading some to call for a transformation of EMS into value-based mobile healthcare fully integrated within an interprofessional care team. The purpose of this scoping review was to understand the evidence base of CP in order to inform the further evolution of this model of care. Following the PRISMA extension for Scoping Reviews, 1,163 titles were screened by our research team. Eligibility criteria were publication in English after January 1, 2000; description of a CP program located in a Western nation; and inclusion of a discussion of outcomes. Twenty-nine publications met the criteria for inclusion. The literature was varied in terms of study design, program purpose, and target audience. The lack of rigorous, longitudinal studies with control groups makes rendering conclusions as to the value and effectiveness of CP programs difficult. Further, the extent to which community paramedics operate within interprofessional teams remains unclear. However, some programs demonstrated improvement in both health services and patient outcomes. As stakeholders continue to explore the potential of CP, results of this review highlight the importance of further investigation of outcomes, the professional identity of the community paramedic, and the role of the community paramedic on interprofessional teams.

GPS Mobile Health Intervention Among People Experiencing Homelessness: Pre-Post Study.

Abstract: Background: People experiencing homelessness are at risk for gaps in care after an emergency department (ED) or hospital visit, which leads to increased use, poor health outcomes, and high health care costs. Most people experiencing homelessness have a mobile phone of some type, which makes mobile health (mHealth) interventions a feasible way to connect a person experiencing homelessness with providers. Objective: This study aims to investigate the accuracy, acceptability, and preliminary outcomes of a GPS-enabled mHealth (GPS-mHealth) intervention designed to alert community health paramedics when people experiencing homelessness are in the ED or hospital. Methods: This study was a pre-post design with baseline and 4-month postenrollment assessments. People experiencing homelessness, taking at least 2 medications for chronic conditions, scoring at least 10 on the Patient Health Questionnaire-9, and having at least 2 ED or hospital visits in the previous 6 months were eligible. Participants were issued a study smartphone with a GPS app programmed to alert a community health paramedic when a participant entered an ED or hospital. For each alert, community health paramedics followed up via telephone to assess care coordination needs. Participants also received a daily email to assess medication adherence. GPS alerts were compared with ED and hospital data from the local health information exchange (HIE) to assess accuracy. Paired t tests compared scores on the Patient Health Questionnaire-9, Medical Outcomes Study Social Support Survey, and Adherence Starts with Knowledge-12 adherence survey at baseline and exit. Semistructured exit interviews examined the perceptions and benefits of the intervention. Results: In total, 30 participants were enrolled; the mean age was 44.1 (SD 9.7) years. Most participants were male (20/30, 67%), White (17/30, 57%), and not working (19/30, 63%). Only 19% (3/16) of the ED or hospital visit alerts aligned with HIE data, mainly because of patients not having the smartphone with them during the visit, the smartphone being off, and gaps in GPS technology. There was a significant difference in depressive symptoms between baseline (mean 16.9, SD 5.8) and exit (mean 12.7, SD 8.2; t19=2.9; P=.009) and a significant difference in adherence barriers between baseline (mean 2.4, SD 1.4) and exit (mean 1.5, SD 1.5; t17=2.47; P=.03). Participants agreed that the app was easy to use (mean 4.4/5, SD 1.0, with 5=strongly agree), and the email helped them remember to take their medications (mean 4.6/5, SD 0.6). Qualitative data indicated that unlimited smartphone access allowed participants to meet social needs and maintain contact with case managers, health care providers, family, and friends. Conclusions: mHealth interventions are acceptable to people experiencing homelessness. HIE data provided more accurate ED and hospital visit information; however, unlimited access to reliable communication provided benefits to participants beyond the study purpose of improving care coordination. Trial Registration:

Understanding the role of the paramedic in primary care: a realist review.

Abstract: BACKGROUND: Since 2002, paramedics have been working in primary care within the United Kingdom (UK), a transition also mirrored within Australia, Canada and the USA. Recent recommendations to improve UK NHS workforce capacities have led to a major push to increase the numbers of paramedics recruited into primary care. However, gaps exist in the evidence base regarding how and why these changes would work, for whom, in what context and to what extent. To understand the ways in which paramedics impact (or not) the primary care workforce, we conducted a realist review. METHODS: A realist approach aims to provide causal explanations through the generation and articulation of contexts, mechanisms and outcomes. Our search of electronic databases was supplemented with Google and citation checking to locate grey literature including news items and workforce reports. Included documents were from the UK, Australia, Canada and the Americas-countries within which the paramedic role within primary care is well established. RESULTS: Our searches resulted in 205 included documents, from which data were extracted to produce context-mechanism-outcome configurations (CMOCs) within a final programme theory. Our results outline that paramedics are more likely to be effective in contributing to primary care workforces when they are supported to expand their existing role through formal education and clinical supervision. We also found that unless paramedics were fully integrated into primary care services, they did not experience the socialisation needed to build trusting relationships with patients or physicians. Indeed, for patients to accept paramedics in primary care, their role and its implications for their care should be outlined by a trusted source. CONCLUSIONS: Our realist review highlights the complexity surrounding the introduction of paramedics into primary care roles. As well as offering an insight into understanding the paramedic professional identity, we also discuss the range of expectations this professional group will face in the transition to primary care. These expectations come from patients, general practitioners (family physicians) and paramedics themselves. This review is the first to offer insight into understanding the impact paramedics may have on the international primary care workforce and shaping how they might be optimally deployed.

Mobile integrated health to reduce post-discharge acute care visits: A pilot study

Abstract: Background: Mobile Integrated Health (MIH) leverages specially trained paramedics outside of emergency response to bridge gaps in local health care delivery. Study objective: To evaluate the efficacy of a MIH led transitional care strategy to reduce acute care utilization. Methods: This was a retrospective cohort analysis of a quality improvement pilot of patients from an urban, single county EMS, MIH transitional care initiative. We utilized a paramedic/social worker (or social care coordinator) dyad to provide in home assessments, medication review, care coordination, and improve access to care. The primary outcome compared acute care utilization (ED visits, observation stays, inpatient visits) 90 days before MIH intervention to 90 days after. Results: Of the 203 patients seen by MIH teams, inpatient utilization decreased significantly from 140 hospitalizations pre‐MIH to 26 post‐MIH (83% reduction, p = 0.00). ED and observation stays, however, increased numerically, but neither was significant. (ED 18 to 19 stays, p = 0.98; observation stays 95 to 106, p = 0.30) Primary care visits increased 15% (p = 0.11). Conclusion: In this pilot before/after study, MIH significantly reduces acute care hospitalizations.

The effect of a mobile integrated health program on health care cost and utilization.

Abstract: OBJECTIVE To measure the effect of a mobile integrated health community paramedicine (MIH-CP) transitional care program on hospital utilization, emergency department visits, and charges. DATA SOURCES Retrospective secondary data from the electronic health record and regional health information exchange were used to analyze patients discharged from a large academic medical center and an affiliated community hospital in Baltimore, Maryland, May 2018-October 2019. STUDY DESIGN We performed an observational study comparing patients enrolled in an MIH-CP program to propensity-matched controls. Propensity scores were calculated using measures of demographics, clinical characteristics, social determinants of health, and prior health care utilization. The primary outcome is inpatient readmission within 30 days of discharge. Secondary outcomes include excess days in acute care 30 days after discharge and emergency department visits, observation hospitalizations, and total health care charges within 30 and 60 days of discharge. DATA COLLECTION Included patients were over 18 years old, discharged to home from internal/family medicine services, and live in eligible ZIP codes. The intervention group was enrolled in the MIH-CP program; controls met inclusion criteria but were not enrolled during the study period. PRINCIPAL FINDINGS The adjusted model showed no difference in 30-day inpatient readmission between 464 enrolled patients and propensity-matched controls (adjusted incidence rate ratio = 1.19, 95% confidence interval [CI] [0.89, 1.60]). There was a higher rate of observation hospitalizations within 30 days of index discharge for MIH-CP patients (adjusted incidence rate ratio = 1.78, 95% CI = [1.01, 3.14]). This difference did not persist at 60 days, and there were no differences in other secondary outcomes. CONCLUSIONS We found no significant difference in short-term health care utilization or charges between patients enrolled in an MIH-CP transitional care program and propensity-matched controls. This highlights the importance of well-controlled, robust evaluations of effectiveness in novel care-delivery systems.

Multilevel Determinants of Digital Health Equity: A Literature Synthesis to Advance the Field.

Abstract: Current digital health approaches have not engaged diverse end users or reduced health or health care inequities, despite their promise to deliver more tailored and personalized support to individuals at the right time and the right place. To achieve digital health equity, we must refocus our attention on the current state of digital health uptake and use across the policy, system, community, individual, and intervention levels. We focus here on (a) outlining a multilevel framework underlying digital health equity; (b) summarizing five types of interventions/programs (with example studies) that hold promise for advancing digital health equity; and (c) recommending future steps for improving policy, practice, and research in this space. Expected final online publication date for the Annual Review of Public Health, Volume 44 is April 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Paramedics assessing patients with complex comorbidities in community settings: results from the CARPE study.

Abstract: The aim for this study was to provide information about how community paramedicine home visit programs best “navigate” their role delivering preventative care to frequent 9-1-1 users by describing demographic and clinical characteristics of their patients and comparing them to existing community care populations. Our study used secondary data from standardized assessment instruments used in the delivery of home care, community support services, and community paramedicine home visit programs in Ontario. Identical assessment items from each instrument enabled comparisons of demographic, clinical, and social characteristics of community-dwelling older adults using descriptive statistics and z-tests. Data were analyzed for 29,938 home care clients, 13,782 community support services clients, and 136 community paramedicine patients. Differences were observed in proportions of individuals living alone between community paramedicine patients versus home care clients and community support clients (47.8%, 33.8%, and 59.9% respectively). We found higher proportions of community paramedicine patients with multiple chronic disease (87%, compared to 63% and 42%) and mental health-related conditions (43.4%, compared to 26.2% and 18.8% for depression, as an example). When using existing community care populations as a reference group, it appears that patients seen in community paramedicine home visit programs are a distinct sub-group of the community-dwelling older adult population with more complex comorbidities, possibly exacerbated by mental illness and social isolation from living alone. Community paramedicine programs may serve as a sentinel support opportunity for patients whose health conditions are not being addressed through timely access to other existing care providers. ISRCTN 58273216.