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Item Building a Sustainable Comprehensive Multiple Myeloma Program in Western Kenya(American Society of Clinical Oncology, 2021-03) Oduor, Mercy A.; Lotodo, Teresa C.; Vik, Terry A.; Manyega, Kelvin M.; Loehrer, Patrick; Omondi, Austin A.; Oguda, John O.; Asirwa, Fredrick C.; Medicine, School of MedicineDespite improved treatment strategies for multiple myeloma (MM), patient outcomes in low- and middle-income countries remain poor, unlike high-income countries. Scarcity of specialized human resources and diagnostic, treatment, and survivorship infrastructure are some of the barriers that patients with MM, clinicians, and policymakers have to overcome in the former setting. To improve outcomes of patients with MM in Western Kenya, the Academic Model Providing Access to Healthcare (AMPATH) MM Program was set up in 2012. In this article, the program's activities, challenges, and future plans are described distilling important lessons that can be replicated in similar settings. Through the program, training on diagnosis and treatment of MM was offered to healthcare professionals from 35 peripheral health facilities across Western Kenya in 2018 and 2019. Access to antimyeloma drugs including novel agents was secured, and pharmacovigilance systems were developed. Finally, patients were supported to obtain health insurance in addition to receiving peer support through participation in support group meetings. This article provides an implementation blueprint for similar initiatives aimed at increasing access to care for patients with MM in underserved areas.Item Electronic Co-design (ECO-design) Workshop for Increasing Clinician Participation in the Design of Health Services Interventions: Participatory Design Approach(JMIR Publications, 2022-09-22) Savoy, April; Patel, Himalaya; Shahid, Umber; Offner, Alexis D.; Singh, Hardeep; Giardina, Traber D.; Meyer, Ashley N.D.Background: Participation from clinician stakeholders can improve the design and implementation of health care interventions. Participatory design methods, especially co-design methods, comprise stakeholder-led design activities that are time-consuming. Competing work demands and increasing workloads make clinicians' commitments to typical participatory methods even harder. The COVID-19 pandemic further exacerbated barriers to clinician participation in such interventions. Objective: The aim of this study was to explore a web-based participatory design approach to conduct economical, electronic co-design (ECO-design) workshops with primary care clinicians. Methods: We adapted traditional in-person co-design workshops to web-based delivery and adapted co-design workshop series to fit within a single 1-hour session. We applied the ECO-design workshop approach to codevelop feedback interventions regarding abnormal test result follow-up in primary care. We conducted ECO-design workshops with primary care clinicians at a medical center in Southern Texas, using videoconferencing software. Each workshop focused on one of three types of feedback interventions: conversation guide, email template, and dashboard prototype. We paired electronic materials and software features to facilitate participant interactions, prototyping, and data collection. The workshop protocol included four main activities: problem identification, solution generation, prototyping, and debriefing. Two facilitators were assigned to each workshop and one researcher resolved technical problems. After the workshops, our research team met to debrief and evaluate workshops. Results: A total of 28 primary care clinicians participated in our ECO-design workshops. We completed 4 parallel workshops, each with 5-10 participants. We conducted traditional analyses and generated a clinician persona (ie, representative description) and user interface prototypes. We also formulated recommendations for future ECO-design workshop recruitment, technology, facilitation, and data collection. Overall, our adapted workshops successfully enabled primary care clinicians to participate without increasing their workload, even during a pandemic. Conclusions: ECO-design workshops are viable, economical alternatives to traditional approaches. This approach fills a need for efficient methods to involve busy clinicians in the design of health care interventions.Item Evaluating the Efficacy of Medical-Legal Partnerships that Address Social Determinants of Health(Johns Hopkins University Press, 2021) Nerlinger, Abby L.; Alberti, Philip M.; Gilbert, Amy L.; Goodman, Tracy L.; Fair, Malika A.; Johnson, Sherese B.; Pettignano, Robert; Pediatrics, School of MedicineBackground: Medical-legal partnerships (MLPs) are health system-community partnerships composed of multi-disciplinary teams designed to improve patient and community health. MLPs provide legal services to address health-harming legal needs that contribute to health inequities. Methods: A grant provided by the Association of American Medical Colleges (AAMC) and the Centers for Disease Control and Prevention established the Accelerating Health Equity, Advancing through Discovery (AHEAD) Initiative to identify, evaluate, and disseminate community-based interventions that improve health equity. Three geographically and demographically diverse institutions were chosen to strengthen the evidence-base surrounding MLP by developing standardized evaluation tools in the areas of community health, health system savings, and learner outcomes. Results: The generalizable process leading to evaluation tool development is described herein, and includes the formation of multi-institutional teams, logic model development, and stakeholder interviews. Conclusions: Although MLP is presented, this process can be used by various types of community health partnerships to develop evaluation tools surrounding social determinants of health (SDOH).Item Fellowship Accreditation: Experiences From Health Care Simulation Experts(Allen Press, 2024) Musits, Andrew N.; Khan, Humera; Cassara, Michael; McKenna, Ryan T.; Penttila, Atte; Ahmed, Rami A.; Wong, Ambrose H.; Emergency Medicine, School of MedicineBackground: The field of health care simulation continues to grow, accompanied by a proliferation of fellowship programs, leading to fellowship accreditation efforts. There is controversy around the best approach to accreditation. Objective: The authors sought to understand perspectives of simulation leaders on fellowship accreditation to best inform the growth and maturation of fellowship accreditation. Methods: In 2020, simulation leaders identified through snowball sampling were invited to participate in a qualitative study. During one-on-one semistructured interviews, participants were asked about experiences as simulation leaders and their perspective on the purpose and impact of accreditation. The interviews were audio recorded and transcribed. Thematic analysis informed by a phenomenology framework was performed using a masked open coding technique with iterative refinement. The resulting codes were organized into themes and subthemes. Results: A total of 45 simulation experts participated in interviews ranging from 25 to 67 minutes. Participants described discord and lack of consensus regarding simulation fellowship accreditation, which included a spectrum of opinions ranging from readiness for accreditation pathways to concern and avoidance. Participants also highlighted how context drove the perception of accreditation value for programs and individuals, including access to resources and capital. Finally, potential impacts from accreditation included standardization of training programs, workforce concerns, and implications for professional societies. Conclusions: Simulation leaders underscored how the value of accreditation is dependent on context. Additional subthemes included reputation and resource variability, balancing standardization with flexibility and innovation, and implications for professional societies.Item The Future of the Multidisciplinary Clinic(Hindawi Publishing Corporation, 2007-11-12) Brei, Timothy J.; Pediatrics, School of MedicineThe multidisciplinary clinic is the accepted model for health care delivery related to spina bifida. This article focuses on the factors affecting multidisciplinary care delivery and future challenges for multidisciplinary programs.Item Golden opportunities for clinical decision support in an era of team-based healthcare(American Medical Informatics Association, 2022) Dexter, Paul R.; Schleyer, Titus; Medicine, School of MedicineComputerized clinical decision support (CDS) will be essential to ensuring the safety and efficiency of new care delivery models, such as the patient-centered medical home. CDS will help empower non-physician team members, coordinate overall team efforts, and facilitate physician oversight. In this article, we discuss common clinical scenarios that could benefit from CDS optimized for team-based healthcare, including (1) low-acuity episodic illness, (2) diagnostic workup of new onset symptoms, (3) chronic care, (4) preventive care, and (5) care coordination. CDS that maximally supports teams may be one of biomedical informatics' best opportunities to decrease health care costs, improve quality, and increase clinical capacity.Item Health care professionals and adolescent vaccination. A call for intervention research(Taylor & Francis, 2014-09) Zimet, Gregory D.; IU School of NursingIn their recently published research study, Gargano et al. found that a physician's recommendation and parental health beliefs had significant effects on adolescent vaccination rates and on parental intentions to vaccinate. This research replicates the findings of a number of human papillomavirus (HPV) vaccine-focused research studies, but explores new territory by focusing on all recommended adolescent vaccines: meningococcal-conjugate (MCV4), HPV, influenza, and tetanus, diphtheria, and acellular pertussis (Tdap) vaccines. Although Gargano et al.'s study is relatively small in scale and focuses on only one county in Georgia, their results are consistent with many other research reports, suggesting that their findings are robust and replicable. Most published intervention studies have targeted parents and young adults, with little focus on health care professionals. However, given the centrality of physician recommendation in adolescent vaccination, as shown by Gargano et al., it is clear that the time has come to develop and evaluate interventions that help physicians and other health care professionals to more effectively implement strong and routine recommendations for all adolescent platform vaccines.Item Health care–related transportation insecurity is associated with adverse health outcomes among adults with chronic liver disease(Wolters Kluwer, 2024-01-11) Ufere, Nneka N.; Lago-Hernandez, Carlos; Alejandro-Soto, Alysa; Walker, Tiana; Li, Lucinda; Schoener, Kimberly; Keegan, Eileen; Gonzalez, Carolina; Bethea, Emily; Singh, Siddharth; El-Jawahri, Areej; Nephew, Lauren; Jones, Patricia; Serper, Marina; Medicine, School of MedicineBackground: Health care-related transportation insecurity (delayed or forgone medical care due to transportation barriers) is being increasingly recognized as a social risk factor affecting health outcomes. We estimated the national burden and adverse outcomes of health care-related transportation insecurity among US adults with chronic liver disease (CLD). Methods: Using the U.S. National Health Interview Survey from 2014 to 2018, we identified adults with self-reported CLD. We used complex weighted survey analysis to obtain national estimates of health care-related transportation insecurity. We examined the associations between health care-related transportation insecurity and health care-related financial insecurity, food insecurity, self-reported health status, work productivity, health care use, and mortality. Results: Of the 3643 (representing 5.2 million) US adults with CLD, 267 [representing 307,628 (6%; 95% CI: 5%-7%)] reported health care-related transportation insecurity. Adults with CLD experiencing health care-related transportation insecurity had 3.5 times higher odds of cost-related medication nonadherence [aOR, 3.5; (2.4-5.0)], 3.5 times higher odds of food insecurity [aOR, 3.5; (2.4-5.3)], 2.5 times higher odds of worsening self-reported health status over the past year [aOR, 2.5; (1.7-3.7)], 3.1 times higher odds of being unable to work due to poor health over the past year [aOR, 3.1; (2.0-4.9)], and 1.7 times higher odds of being in a higher-risk category group for number of hospitalizations annually [aOR, 1.7; (1.2-2.5)]. Health care-related transportation insecurity was independently associated with mortality after controlling for age, income, insurance status, comorbidity burden, financial insecurity, and food insecurity [aHR, 1.7; (1.4-2.0)]. Conclusions: Health care-related transportation insecurity is a critical social risk factor that is associated with health care-related financial insecurity, food insecurity, poorer self-reported health status and work productivity, and increased health care use and mortality among US adults with CLD. Efforts to screen for and reduce health care-related transportation insecurity are warranted.Item Health information technology to improve care for people with multiple chronic conditions(Wiley, 2021) Samal, Lipika; Fu, Helen N.; Camara, Djibril S.; Wang, Jing; Bierman, Arlene S.; Dorr, David A.; Epidemiology, School of Public HealthObjective: To review evidence regarding the use of Health Information Technology (health IT) interventions aimed at improving care for people living with multiple chronic conditions (PLWMCC) in order to identify critical knowledge gaps. Data sources: We searched MEDLINE, CINAHL, PsycINFO, EMBASE, Compendex, and IEEE Xplore databases for studies published in English between 2010 and 2020. Study design: We identified studies of health IT interventions for PLWMCC across three domains as follows: self-management support, care coordination, and algorithms to support clinical decision making. Data collection/extraction methods: Structured search queries were created and validated. Abstracts were reviewed iteratively to refine inclusion and exclusion criteria. The search was supplemented by manually searching the bibliographic sections of the included studies. The search included a forward citation search of studies nested within a clinical trial to identify the clinical trial protocol and published clinical trial results. Data were extracted independently by two reviewers. Principal findings: The search yielded 1907 articles; 44 were included. Nine randomized controlled trials (RCTs) and 35 other studies including quasi-experimental, usability, feasibility, qualitative studies, or development/validation studies of analytic models were included. Five RCTs had positive results, and the remaining four RCTs showed that the interventions had no effect. The studies address individual patient engagement and assess patient-centered outcomes such as quality of life. Few RCTs assess outcomes such as disability and none assess mortality. Conclusions: Despite a growing body of literature on health IT interventions or multicomponent interventions including a health IT component for chronic disease management, current evidence for applying health IT solutions to improve care for PLWMCC is limited. The body of literature included in this review provides critical information on the state of the science as well as the many gaps that need to be filled for digital health to fulfill its promise in supporting care delivery that meets the needs of PLWMCC.Item Identification of Patients in Need of Advanced Care for Depression Using Data Extracted From a Statewide Health Information Exchange: A Machine Learning Approach(JMIR Publications, 2019-07-22) Kasthurirathne, Suranga N.; Biondich, Paul G.; Grannis, Shaun J.; Purkayastha, Saptarshi; Vest, Joshua R.; Jones, Josette F.; Epidemiology, School of Public HealthBACKGROUND: As the most commonly occurring form of mental illness worldwide, depression poses significant health and economic burdens to both the individual and community. Different types of depression pose different levels of risk. Individuals who suffer from mild forms of depression may recover without any assistance or be effectively managed by primary care or family practitioners. However, other forms of depression are far more severe and require advanced care by certified mental health providers. However, identifying cases of depression that require advanced care may be challenging to primary care providers and health care team members whose skill sets run broad rather than deep. OBJECTIVE: This study aimed to leverage a comprehensive range of patient-level diagnostic, behavioral, and demographic data, as well as past visit history data from a statewide health information exchange to build decision models capable of predicting the need of advanced care for depression across patients presenting at Eskenazi Health, the public safety net health system for Marion County, Indianapolis, Indiana. METHODS: Patient-level diagnostic, behavioral, demographic, and past visit history data extracted from structured datasets were merged with outcome variables extracted from unstructured free-text datasets and were used to train random forest decision models that predicted the need of advanced care for depression across (1) the overall patient population and (2) various subsets of patients at higher risk for depression-related adverse events; patients with a past diagnosis of depression; patients with a Charlson comorbidity index of ≥1; patients with a Charlson comorbidity index of ≥2; and all unique patients identified across the 3 above-mentioned high-risk groups. RESULTS: The overall patient population consisted of 84,317 adult (aged ≥18 years) patients. A total of 6992 (8.29%) of these patients were in need of advanced care for depression. Decision models for high-risk patient groups yielded area under the curve (AUC) scores between 86.31% and 94.43%. The decision model for the overall patient population yielded a comparatively lower AUC score of 78.87%. The variance of optimal sensitivity and specificity for all decision models, as identified using Youden J Index, is as follows: sensitivity=68.79% to 83.91% and specificity=76.03% to 92.18%. CONCLUSIONS: This study demonstrates the ability to automate screening for patients in need of advanced care for depression across (1) an overall patient population or (2) various high-risk patient groups using structured datasets covering acute and chronic conditions, patient demographics, behaviors, and past visit history. Furthermore, these results show considerable potential to enable preventative care and can be easily integrated into existing clinical workflows to improve access to wraparound health care services.