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Item Evaluating a Modular Decision Support Application For Colorectal Cancer Screening(Schattauer, 2017-02-15) Militello, Laura G.; Diiulio, Julie B.; Borders, Morgan R.; Sushereba, Christen E.; Saleem, Jason J.; Haverkamp, Donald; Imperiale, Thomas F.; Medicine, School of MedicineBACKGROUND: There is a need for health information technology evaluation that goes beyond randomized controlled trials to include consideration of usability, cognition, feedback from representative users, and impact on efficiency, data quality, and clinical workflow. This article presents an evaluation illustrating one approach to this need using the Decision-Centered Design framework. OBJECTIVE: To evaluate, through a Decision-Centered Design framework, the ability of the Screening and Surveillance App to support primary care clinicians in tracking and managing colorectal cancer testing. METHODS: We leveraged two evaluation formats, online and in-person, to obtain feedback from a range primary care clinicians and obtain comparative data. Both the online and in-person evaluations used mock patient data to simulate challenging patient scenarios. Primary care clinicians responded to a series of colorectal cancer-related questions about each patient and made recommendations for screening. We collected data on performance, perceived workload, and usability. Key elements of Decision-Centered Design include evaluation in the context of realistic, challenging scenarios and measures designed to explore impact on cognitive performance. RESULTS: Comparison of means revealed increases in accuracy, efficiency, and usability and decreases in perceived mental effort and workload when using the Screening and Surveillance App. CONCLUSION: The results speak to the benefits of using the Decision-Centered Design approach in the analysis, design, and evaluation of Health Information Technology. Furthermore, the Screening and Surveillance App shows promise for filling decision support gaps in current electronic health records.Item Evaluating the quality of mobile health apps for maternal and child health (MCH)(2018-08-08) Biviji, Rizwana; Harle, Christopher A.; Vest, Joshua R.; Dixon, Brian E.; Cullen, TheresaIntroduction Mobile health (mHealth) applications (apps) are increasingly accessible and popular. In 2015, over 60% of smartphone users used their phones to look up health related information. mHealth apps related to maternal and child health (MCH) are particularly prevalent and frequently used. As high as 73% pregnant women and new mothers reported the use of MCH apps, with 27% using them daily. Methods A cross-sectional sample of MCH apps was extracted from the Apple App and Google Play stores using a JavaScript Scraper program. A multivariable linear regression, and series of ordinal logistic regression assessed the relationship between MCH app characteristics and two outcomes, end users’ perceived satisfaction (star ratings), and intent to use (downloads). Next, theory-based content analysis reviewed the presence and use of behavior change techniques (BCTs) in popular MCH apps using the mHealth app taxonomy framework. Finally, a qualitative inductive analysis assessed user self-reported experiences, perceived benefits, and general feedback for MCH apps. Results Seven hundred and forty-two apps met the inclusion criteria. A large majority of MCH apps were developed by non-healthcare developers. Google Play store apps had higher user ratings; while, apps within health & fitness genre, with older updates, and no agerestrictions had fewer user ratings. Furthermore, lower priced apps, with high star ratings, in-app purchase options, and in-app advertisement presence had high downloads. And, apps belonging to medical and health & fitness genre had fewer user downloads. Content analysis revealed that popular MCH apps on an average include 7.4 behavior change techniques (BCTs) with a median of 6 BCTs. Apps developed by healthcare developers had higher BCTs present within app content. Qualitative analysis shows that consumers value apps that are low cost, with superior features, smooth technical aspects, high quality content, and easy to use. Conclusions Healthcare providers, app developers, and policymakers may benefit from a better understanding of MCH apps available in two popular app stores and may consider strategies to review and promote apps to consumers based on information accuracy and trustworthiness.Item An Evaluation of the Spread and Scale of PatientToc™ from Primary Care to Community Pharmacy Practice for the Collection of Patient-Reported Outcomes: A Study Protocol(Elsevier, 2021) Snyder, Margie E.; Chewning, Betty; Kreling, David; Perkins, Susan M.; Knox, Lyndee M.; Adeoye-Olatunde, Omolola A.; Jaynes, Heather A.; Schommer, Jon C.; Murawski, Matthew M.; Sangasubana, Nisaratana; Hillman, Lisa A.; Curran, Geoffrey M.; Biostatistics and Health Data Science, School of MedicineBackground: Medication non-adherence is a problem of critical importance, affecting approximately 50% of all persons taking at least one regularly scheduled prescription medication and costing the United States more than $100 billion annually. Traditional data sources for identifying and resolving medication non-adherence in community pharmacies include prescription fill histories. However, medication possession does not necessarily mean patients are taking their medications as prescribed. Patient-reported outcomes (PROs), measuring adherence challenges pertaining to both remembering and intention to take medication, offer a rich data source for pharmacists and prescribers to use to resolve medication non-adherence. PatientToc™ is a PROs collection software developed to facilitate collection of PROs data from low-literacy and non-English speaking patients in Los Angeles. Objectives: This study will evaluate the spread and scale of PatientToc™ from primary care to community pharmacies for the collection and use of PROs data pertaining to medication adherence. Methods: The following implementation and evaluation steps will be conducted: 1) a pre-implementation developmental formative evaluation to determine community pharmacy workflow and current practices for identifying and resolving medication non-adherence, potential barriers and facilitators to PatientToc™ implementation, and to create a draft implementation toolkit, 2) two plan-do-study-act cycles to refine an implementation toolkit for spreading and scaling implementation of PatientToc™ in community pharmacies, and 3) a comprehensive, theory-driven evaluation of the quality of care, implementation, and patient health outcomes of spreading and scaling PatientToc™ to community pharmacies. Expected impact: This research will inform long-term collection and use of PROs data pertaining to medication adherence in community pharmacies.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 Living kidney donor follow-up in a statewide health information exchange: health services utilization, health outcomes and policy implications(2016-05-24) Henderson, Macey Leigh; Stone, Cynthia L.; Dixon, Brian; Harle, Chris; Menachemi, Nir; Holmes, Ann; Fry-Revere, SigridLiving donors have contributed about 6,000 kidneys per year in the past 10 years, but more than 100,000 individuals are still waiting for a kidney transplant. Living kidney donors undergo a major surgical procedure without direct medical benefit to themselves, but comprehensive follow-up information on living donors’ health is unfortunately limited. Expert recommendations suggest capturing clinical information beyond traditional sources to improve surveillance of co-morbid conditions from living kidney donors. Currently the United Network for Organ Sharing is responsible for collecting and reporting follow-up data for all living donors from U.S. transplant centers. Under policy implemented in February of 2013, transplant centers must submit follow-up date for two years after donation, but current processes often yield to incomplete and untimely reporting. This dissertation uses a statewide Health Information Exchange as a new clinical data source to 1) retrospectively identify a cohort of living kidney donors, 2) understand their follow-up care patterns, and 3) observe selected clinical outcomes including hypertension, diabetes and post-donation renal function.Item Medication-related cognitive artifacts used by older adults with heart failure(Elsevier, 2015-12-01) Mickelson, Robin S.; Willis, Matt; Holden, Richard J.; Department of BioHealth Informatics, IU School of Informatics and ComputingOBJECTIVE: To use a human factors perspective to examine how older adult patients with heart failure use cognitive artifacts for medication management. METHODS: We performed a secondary analysis of data collected from 30 patients and 14 informal caregivers enrolled in a larger study of heart failure self-care. Data included photographs, observation notes, interviews, video recordings, medical record data, and surveys. These data were analyzed using an iterative content analysis. RESULTS: Findings revealed that medication management was complex, inseparable from other patient activities, distributed across people, time, and place, and complicated by knowledge gaps. We identified fifteen types of cognitive artifacts including medical devices, pillboxes, medication lists, and electronic personal health records used for: 1) measurement/evaluation; 2) tracking/communication; 3) organization/administration; and 4) information/sensemaking. These artifacts were characterized by fit and misfit with the patient's sociotechnical system and demonstrated both advantages and disadvantages. We found that patients often modified or "finished the design" of existing artifacts and relied on "assemblages" of artifacts, routines, and actors to accomplish their self-care goals. CONCLUSIONS: Cognitive artifacts are useful but sometimes are poorly designed or are not used optimally. If appropriately designed for usability and acceptance, paper-based and computer-based information technologies can improve medication management for individuals living with chronic illness. These technologies can be designed for use by patients, caregivers, and clinicians; should support collaboration and communication between these individuals; can be coupled with home-based and wearable sensor technology; and must fit their users' needs, limitations, abilities, tasks, routines, and contexts of use.Item Organizational characteristics and perceptions of clinical event notification services in healthcare settings: a study of health information exchange(Oxford University Press, 2020-11-29) Wiley, Kevin K.; Hilts, Katy Ellis; Ancker, Jessica S.; Unruh, Mark A.; Jung, Hye-Young; Vest, Joshua R.; Health Policy and Management, School of Public HealthObjective: Event notification systems are an approach to health information exchange (HIE) that notifies end-users of patient interactions with the healthcare system through real-time automated alerts. We examined associations between organizational capabilities and perceptions of event notification system use. Materials and methods: We surveyed representatives (n = 196) from healthcare organizations (n = 96) that subscribed to 1 of 3 Health Information Organizations' event notification services in New York City (response rate = 27%). The survey was conducted in Fall 2017 and Winter 2018. Surveys measured respondent characteristics, perceived organizational capabilities, event notification use, care coordination, and care quality. Exploratory factor analysis was used to identify relevant independent and dependent variables. We examined the relationship between organizational capabilities, care coordination, and care quality using multilevel linear regression models with random effects. Results: Respondents indicated that the majority of their organizations provided follow-up care for emergency department visits (66%) and hospital admissions (73%). Perceptions of care coordination were an estimated 57.5% (β = 0.575; P < 0.001) higher among respondents who reported event notifications fit within their organization's existing workflows. Perceptions of care quality were 46.5% (β = 0.465; P < 0.001) higher among respondents who indicated event notifications fit within existing workflows and 23.8% (β = 0.238; P < 0.01) higher where respondents reported having supportive policies and procedures for timely response and coordination of event notifications. Discussion and conclusion: Healthcare organizations with specific workflow processes and positive perceptions of fit are more likely to use event notification services to improve care coordination and care quality. In addition, event notification capacity and patient consent procedures influence how end-users perceive event notification services.Item Practice and market factors associated with provider volume of health information exchange(Oxford University Press, 2021) Apathy, Nate C.; Vest, Joshua R.; Adler-Milstein, Julia; Blackburn, Justin; Dixon, Brian E.; Harle, Christopher A.; Health Policy and Management, School of Public HealthObjective: To assess the practice- and market-level factors associated with the amount of provider health information exchange (HIE) use. Materials and methods: Provider and practice-level data was drawn from the Meaningful Use Stage 2 Public Use Files from the Centers for Medicare and Medicaid Services, the Physician Compare National Downloadable File, and the Compendium of US Health Systems, among other sources. We analyzed the relationship between provider HIE use and practice and market factors using multivariable linear regression and compared primary care providers (PCPs) to non-PCPs. Provider volume of HIE use is measured as the percentage of referrals sent with electronic summaries of care (eSCR) reported by eligible providers attesting to the Meaningful Use electronic health record (EHR) incentive program in 2016. Results: Providers used HIE in 49% of referrals; PCPs used HIE in fewer referrals (43%) than non-PCPs (57%). Provider use of products from EHR vendors was negatively related to HIE use, while use of Athenahealth and Greenway Health products were positively related to HIE use. Providers treating, on average, older patients and greater proportions of patients with diabetes used HIE for more referrals. Health system membership, market concentration, and state HIE consent policy were unrelated to provider HIE use. Discussion: HIE use during referrals is low among office-based providers with the capability for exchange, especially PCPs. Practice-level factors were more commonly associated with greater levels of HIE use than market-level factors. Conclusion: This furthers the understanding that market forces, like competition, may be related to HIE adoption decisions but are less important for use once adoption has occurred.Item Preparing for the spread of patient-reported outcome (PRO) data collection from primary care to community pharmacy: a mixed-methods study(BMC, 2022-03-14) Adeoye‑Olatunde, Omolola A.; Curran, Geoffrey M.; Jaynes, Heather A.; Hillman, Lisa A.; Sangasubana, Nisarata; Chewning, Betty A.; Kreling, David H.; Schommer, Jon C.; Murawski, Matthew M.; Perkins, Susan M.; Snyder, Margie E.; Medicine, School of MedicineBackground: Medication non-adherence is a significant public health problem. Patient-reported outcomes (PROs) offer a rich data source to facilitate resolution of medication non-adherence. PatientToc™ is an electronic PRO data collection software originally implemented at primary care practices in California, United States (US). Currently, the use of standardized PRO data collection systems in US community pharmacies is limited. Thus, we are conducting a two-phase evaluation of the spread and scale of PatientToc™ to US Midwestern community pharmacies. This report focuses on the first phase of the evaluation. The objective of this phase was to prepare for implementation of PatientToc™ in community pharmacies by conducting a pre-implementation developmental formative evaluation to (1) identify potential barriers, facilitators, and actionable recommendations to PatientToc™ implementation and (2) create a draft implementation toolkit. Methods: Data collection consisted of demographics, observations, audio-recorded contextual inquiries, and semi-structured interviews with staff (e.g., primary care providers, pharmacists, pharmacy technicians) and patients during 1-day site visits to a purposive sample of (1) primary care practices currently using PatientToc™ and (2) community pharmacies in Indiana, Wisconsin, and Minnesota interested in the future use of PatientToc™. Post-visit site observation debriefs were also audio-recorded. Verbatim transcripts of all recordings were coded using deductive/inductive approaches and intra-/inter-site summaries were produced identifying potential barriers, facilitators, and actionable recommendations mapped to the Consolidated Framework for Implementation Research constructs. A stakeholder advisory panel engaged in an Evidence-Based Quality Improvement (EBQI) implementation process. This included "member checking" and prioritizing findings, and feedback on the adapted PatientToc™ application, implementation strategies, and accompanying toolkit for community pharmacy implementation. Results: Two primary care practices, nine pharmacies, and 89 individuals participated. Eight major themes (four barriers and four facilitators) and 14 recommendations were identified. Throughout the four EBQI sessions, the panel (1) confirmed findings; (2) designated high priority recommendations: (a) explain PatientToc™ and its benefits clearly and simply to patients, (b) ensure patients can complete questionnaires within 10 min, and (c) provide hands-on training/resources for pharmacy teams; and (3) provided feedback on the adapted PatientToc™ application and finalized toolkit items for initial community pharmacy implementation. Conclusions: Adoption of electronically captured PROs in community pharmacies is warranted. The implementation strategies systematically developed in this study can serve as a model for implementation of technology-driven health information patient care services, in the understudied context of community pharmacies.Item Provider Use of a Novel EHR display in the Pediatric Intensive Care Unit. Large Customizable Interactive Monitor (LCIM)(Schattauer, 2016-07-20) Asan, Onur; Holden, Richard J.; Flynn, Kathryn E.; Yang, Yushi; Azam, Laila; Scanlon, Matthew C.; BioHealth Informatics, School of Informatics and ComputingOBJECTIVES: The purpose of this study was to explore providers' perspectives on the use of a novel technology, "Large Customizable Interactive Monitor" (LCIM), a novel application of the electronic health record system implemented in a Pediatric Intensive Care Unit. METHODS: We employed a qualitative approach to collect and analyze data from pediatric intensive care physicians, pediatric nurse practitioners, and acute care specialists. Using semi-structured interviews, we collected data from January to April, 2015. The research team analyzed the transcripts using an iterative coding method to identify common themes. RESULTS: Study results highlight contextual data on providers' use routines of the LCIM. Findings from thirty six interviews were classified into three groups: 1) providers' familiarity with the LCIM; 2) providers' use routines (i.e. when and how they use it); and 3) reasons why they use or do not use it. CONCLUSION: It is important to conduct baseline studies of the use of novel technologies. The importance of training and orientation affects the adoption and use patterns of this new technology. This study is notable for being the first to investigate a LCIM system, a next generation system implemented in the pediatric critical care setting. Our study revealed this next generation HIT might have great potential for family-centered rounds, team education during rounds, and family education/engagement in their child's health in the patient room. This study also highlights the effect of training and orientation on the adoption patterns of new technology.