Browsing by Author "Adeoye-Olatunde, Omolola A."

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    4012 Positive Deviants for Medication Therapy Management: A Mixed-Methods Comparative Case Study of Community Pharmacy Practices
    (Cambridge University Press, 2020-07-29) Adeoye-Olatunde, Omolola A.; Lake, Leslie M.; Hudmon, Karen S.; Zillich, Alan J.; Snyder, Margie E.; Medicine, School of Medicine
    OBJECTIVES/GOALS: To optimize medication use in older adults, Medication Therapy Management (MTM) was launched as part of Medicare Prescription Drug (Part D) policy. The objective of this study was to generate hypotheses for strategies that contribute to community pharmacies’ ability to achieve high performance on policy relevant MTM quality measures. METHODS/STUDY POPULATION: This mixed-methods comparative case study design incorporated two conceptual models; the Positive Deviance model and Chronic Care Model. The study population consisted of pharmacy staff employed by a Midwestern division of a national supermarket-community pharmacy chain. Data consisted of semi-structured interviews and demographics. Qualitative and quantitative data were analyzed abductively or using descriptive statistics, respectively. Case comparisons were synthesized using the Framework Method. MTM quality measures used to evaluate participant pharmacies’ MTM performance mirrored quality measures under Domain 4 (Drug Safety and Accuracy of Drug Pricing) of the 2017 Medicare Part D Plan’ Star Rating measures. RESULTS/ANTICIPATED RESULTS: Staff at 13 of the 18 selected pharmacies (72.2%) participated in interviews. Interviewees included 11 pharmacists, 11 technicians and three student interns. Strategies hypothesized as contributing to MTM performance included: 1. Strong pharmacist-provider relationships and trust, 2. Inability to meet patients’ cultural, linguistic, and socioeconomic needs (negatively contributing), 3. Technician involvement in MTM, 4. Providing comprehensive medication reviews in person vs. phone alone, 5. Placing high priority on MTM, 6. Using maximum number of clinical information systems (CISs) to identify eligible patients. 7. Technicians using CISs to collect information for pharmacists, 8. Faxing prescribers adherence medication therapy problems (MTPs) and calling on indication MTPs. DISCUSSION/SIGNIFICANCE OF IMPACT: Our study resulted in eight strategies hypothesized to contribute to community pharmacy performance on MTM quality measures. To inform MTM policy recommendations, future research should engage stakeholders to assist with prioritizing hypotheses to be tested in a larger representative sample of pharmacies. CONFLICT OF INTEREST DESCRIPTION: This research was supported, in part, with support from the Indiana Clinical and Translational Sciences Institute funded, in part by grant number TL1TR001107 from the National Institutes of Health, National Center for Advancing Translational Sciences, Clinical and Translational Sciences Award. Dr. Adeoye-Olatunde is a part-time employee and Dr. Lake is a full-time employee at the Midwestern division, national supermarket-community pharmacy chain, where study procedures were conducted. Dr. Snyder reports personal fees from Westat, Inc., outside the submitted work.
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    A user-centered evaluation of medication therapy management alerts for community pharmacists: Recommendations to improve usability and usefulness
    (Elsevier, 2021) Snyder, Margie E.; Adeoye-Olatunde, Omolola A.; Gernant, Stephanie A.; DiIulio, Julie; Jaynes, Heather A.; Doucette, William R.; Russ-Jara, Alissa L.; Medicine, School of Medicine
    Background: Community pharmacists provide comprehensive medication reviews (CMRs) through pharmacy contracts with medication therapy management (MTM) vendors. These CMRs are documented in the vendors' web-based MTM software platforms, which often integrate alerts to assist pharmacists in the detection of medication therapy problems. Understanding pharmacists' experiences with MTM alerts is critical to optimizing alert design for patient care. Objectives: The objectives of this study were to 1) assess the usability and usefulness of MTM alerts for MTM vendor-contracted community pharmacists and 2) generate recommendations for improving MTM alerts for use by community pharmacists. Methods: This was a convergent, parallel mixed-methods evaluation of data collected from 3 sources, with individual pharmacists contributing data to one or more sources: 1) community pharmacists' submissions of observational data about MTM alerts encountered during routine MTM provision, 2) videos of naturalistic usability testing of MTM alerts, and 3) semi-structured interviews to elicit pharmacists' perspectives on MTM alert usefulness and usability. MTM alert data submitted by pharmacists were summarized with descriptive statistics. Usability testing videos were analyzed to determine pharmacists' time spent on MTM alerts and to identify negative usability incidents. Interview transcripts were analyzed using a hybrid approach of deductive and inductive codes to identify emergent themes. Triangulation of data (i.e., determination of convergence/divergence in findings across all data sources) occurred through investigator discussion and identified overarching findings pertaining to key MTM alert challenges. These resulted in actionable recommendations to improve MTM alerts for use by community pharmacists. Results: Collectively, two and four overarching key challenges pertaining to MTM alert usability and usefulness, respectively, were identified, resulting in 15 actionable recommendations for improving the design of MTM alerts from a user-centered perspective. Conclusions: Recommendations are expected to inform enhanced MTM alert designs that can improve pharmacist efficiency, patient and prescriber satisfaction with MTM, and patient outcomes.
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    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 Medicine
    Background: 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.
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    Experiences Applying Technology to Overcome Common Challenges in Pharmacy Practice-Based Research in the United States
    (MDPI, 2020-05-30) Gernant, Stephanie A.; Adeoye-Olatunde, Omolola A.; Murawski, Matthew M.; Jaynes, Heather; Chewning, Betty; Knox, Lyndee M.; Martinez III, Moises; Schommer, Jon C.; Snyder, Margie E.; Pharmacology and Toxicology, School of Medicine
    Despite the importance of pharmacy practice-based research in generating knowledge that results in better outcomes for patients, health systems and society alike, common challenges to PPBR persist. Herein, we authors describe PPBR challenges our research teams have encountered, and our experiences using technology-driven solutions to overcome such challenges. Notably, limited financial resources reduce the time available for clinicians and researchers to participate in study activities; therefore, resource allocation must be optimized. We authors have also encountered primary data collection challenges due to unique data needs and data access/ownership issues. Moreover, we have experienced a wide geographic dispersion of study practices and collaborating researchers; a lack of trained, on-site research personnel; and the identification and enrollment of participants meeting study eligibility criteria. To address these PPBR challenges, we authors have begun to turn to technology-driven solutions, as described here.
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    A mixed-methods study of pharmacy instructors' early experiences with a teaching electronic medical record
    (Elsevier, 2021-09) Adeoye-Olatunde, Omolola A.; Vlashyn, Olga O.; Illingworth Plake, Kimberly S.; Woodyard, Jamie L.; Weber, Zachary A.; Litzelman, Debra K.; Russ-Jara, Alissa L.; Medicine, School of Medicine
    Introduction As use of electronic medical records (EMRs) increases in healthcare, multiple accreditation organizations recommend training future clinicians on EMRs as part of the academic curriculum. Therefore, some pharmacy programs now utilize an academic EMR. Our objective was to examine pharmacy instructors' early experiences with a commercially available teaching EMR (tEMR) in order to identify current and future priorities along with benefits and barriers to academic EMR use in pharmacy education. Methods We conducted semi-structured interviews and a web-based survey with pharmacy instructors. Interview and survey data analyses consisted of hybrid inductive/deductive approaches to coding data and descriptive statistics, respectively. We mapped themes to the Pharmacists' Patient Care Process (PPCP). Results Seven instructors participated in interviews, and 10 completed the survey. We identified 25 interview themes that were generally congruent with survey responses. A noted benefit of the tEMR was providing a large repository of real-life patient data. Instructors' current priorities for tEMR activities primarily aligned with “collect,” “assess,” and “plan” steps of the PPCP. One reported barrier was insufficient training regarding the tEMR capabilities. Instructors offered innovative ideas for future academic EMR use, including pharmacokinetics, incident reporting, and longitudinal cases. Conclusions Study findings are most applicable to pharmacy programs in the early stages of academic EMR adoption. We identified opportunities for pharmacy programs to facilitate innovative, future use of academic EMRs, including curriculum planning, so pharmacy students gain experience using EMR functions for each PPCP step and develop more advanced EMR skills.
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    Positive Deviants for Medication Therapy Management: A Mixed-Methods Comparative Case Study of Community Pharmacy Practices
    (Elsevier, 2021) Adeoye-Olatunde, Omolola A.; Lake, Leslie M.; Strohmier, Celena A.; Gourley, Amanda K.; Ray, Ashli R.; Zillich, Alan J.; Snyder, Margie E.; Medicine, School of Medicine
    Background: To optimize medication use in older adults, the Centers for Medicare & Medicaid Services (CMS) launched Medication Therapy Management (MTM) services as part of Medicare Part D policy; however, strategies for achieving high quality MTM outcomes are not well understood. Objective: The objective of this study was to generate hypotheses for strategies contributing to community pharmacies' high performance on policy-relevant MTM quality measures. Methods: This mixed-methods comparative case study was guided by the Positive Deviance approach and Chronic Care Model. The study population consisted of pharmacy staff employed by a Midwestern division of a national supermarket-community pharmacy chain. Data consisted of demographics and qualitative data from semi-structured interviews. Qualitative and quantitative data were analyzed deductively and inductively or using descriptive statistics, respectively. MTM quality measures used to evaluate participant pharmacies' MTM performance mirrored select 2017 Medicare Part D Plans' Star Rating measures. Results: Thirteen of 18 selected case pharmacies (72.2%) participated in this study, of which 5 were categorized as high performers, 4 moderate performers, and 4 low performers. Eleven pharmacists, 11 technicians, and 3 student interns participated in interviews. Eight strategies were hypothesized as contributing to MTM performance: Strong pharmacy staff-provider relationships and trust, Inability to address patients' social determinants of health (negatively contributing), Technician involvement in MTM, Providing comprehensive medication reviews in person vs. phone alone, Placing high priority on MTM, Using available clinical information systems to identify eligible patients, Technicians using clinical information systems to collect/document information for pharmacists, Faxing prescribers adherence medication therapy problems (MTPs) and calling on indication MTPs. Conclusions: Eight strategies were hypothesized as contributing to community pharmacies' performance on MTM quality measures. Findings from this work can inform MTM practice and Medicare Part D MTM policy changes to positively influence patient outcomes. Future research should test hypotheses in a larger representative sample of pharmacies.
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    Preparing for the spread of patient-reported outcome (PRO) data collection from primary care to community pharmacy: a mixed-methods study
    (Springer, 2022-03-14) Adeoye-Olatunde, Omolola A.; Curran, Geoffrey M.; Jaynes, Heather A.; Hillman, Lisa A.; Sangasubana, Nisaratana; Chewning, Betty A.; Kreling, David H.; Schommer, Jon C.; Murawski, Matthew M.; Perkins, Susan M.; Snyder, Margie E.; Biostatistics and Health Data Science, Richard M. Fairbanks School of Public Health
    Background 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.
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    Referral Sources Across Racial and Ethnic Groups at Alzheimer’s Disease Research Centers
    (IOS Press, 2024) Chan, Carol K.; Lane, Kathleen A.; Gao, Sujuan; Adeoye-Olatunde, Omolola A.; Biber, Sarah; Glover, Crystal M.; Johnson, David K.; Risacher, Shannon L.; Saykin, Andrew J.; Wang, Sophia; Radiology and Imaging Sciences, School of Medicine
    Background: Despite the need to increase engagement of underrepresented groups (URG) in Alzheimer's disease and related dementias (ADRD) studies, enrollment remains low. Objective: Compare referral sources across racial and ethnic groups among participants enrolled in ADRC studies. Methods: Data for this cross-sectional secondary analysis were extracted from the National Alzheimer's Coordinating Center Uniform Data Set. We performed mixed effects logistic regression models using generalized estimating equations for professional referral versus non-professional referral by racial and ethnic group, adjusted for age, gender, education, visit year, and Clinical Dementia Rating scale (CDR) with a random effect for study site. Results: Included in the analysis were 48,330 participants across 46 ADRCs (mean [SD] age, 71.3 [10.5] years; 20,767 female [57%]; 4,138 Hispanic [8.6%]; 1,392 non-Hispanic Asian [2.9%]; 6,766 non-Hispanic Black [14%] individuals; and 676 individuals [1.4%] of other races. Non-Hispanic Black and Asian participants had lower odds of being referred by a professional contact compared to non-Hispanic White participants (Black: adjusted OR = 0.61, 95% CI = 0.44-0.86, p = 0.005; Asian: adjusted OR = 0.65, 95% CI, p = 0.004). In participants who had completed an MRI, there was no significant difference in referral source across ethnic and racial groups. Conclusions: Further studies are needed to better understand the systemic and structural factors that contribute to differences in referral sources and disparities in recruitment of URG into ADRD studies.