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Browsing by Author "Gernant, Stephanie A."
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Item 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 MedicineBackground: 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.Item Characterization of Actions Taken During the Delivery of Medication Therapy Management: A Time-and-Motion Approach(Elsevier, 2018-01) Chang, Alice C.; Lincoln, Jutieh; Lantaff, Wendy M.; Gernant, Stephanie A.; Jaynes, Heather A.; Doucette, William; Snyder, Margie E.; Communication Studies, School of Liberal ArtsOBJECTIVES: To characterize actions performed by pharmacists and support staff during provision of medication therapy management (MTM) and to compare actions performed according to practice characteristics. METHODS: A purposeful sample of 7 MTM practices (2 call centers and 5 community practices) was identified and visited by investigators. Pharmacists and support staff were observed during their routine provision of MTM. Investigators characterized "major" (e.g., preparation for a comprehensive medication review) and "minor" (i.e., specific steps in overarching major action) actions with the use of a time-and-motion approach. RESULTS: A total of 32 major and 469 minor actions were observed. Practices were characterized as Later Maturity Level or Early Maturity Level on the basis of their self-reported MTM appointment volume, self-assessment of the extent of integration of chronic care model principles, and payer mix. Later Maturity Level practices were more likely to deliver follow-up medication therapy reviews and comprehensive medication reviews (CMRs) as opposed to targeted medication reviews (TMRs) and to receive physician referrals for MTM. Later Maturity Level practices were also more likely to use paid interns than pharmacy rotation students. CMR activities observed at Later Maturity Level practices lasted a median of 30.8 minutes versus 20.3 minutes for CMR activities at Early Maturity Level practices. Similarly, TMR activities observed at Later Maturity Level practices were longer: a median of 31.0 minutes versus 12.3 minutes. At Later Maturity Level practices, pharmacists spent a greater proportion of time providing patient education, while support staff spent a greater proportion of time on tasks such as capturing demographics and introducing or explaining MTM. CONCLUSION: MTM activities were longer at Later Maturity Level practices, and these practices were more likely to use paid pharmacy interns and to receive physician referrals for MTM. This work provides a foundation for future research.Item 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 MedicineDespite 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.Item Factors associated with comprehensive medication review completion rates: A national survey of community pharmacists(Elsevier, 2020-05) Snyder, Margie E.; Jaynes, Heather A.; Gernant, Stephanie A.; Lantaff, Wendy M.; Doucette, William R.; Hudmon, Karen Suchanek; Perkins, Susan M.; Biostatistics, School of Public HealthBackground Completion rates for medication therapy management (MTM) services have been lower than desired and the Centers for Medicare and Medicaid Services has added MTM comprehensive medication review (CMR) completion rates as a Part D plan star measure. Over half of plans utilize community pharmacists via contracts with MTM vendors. Objectives The primary objective of this survey study was to identify factors associated with the CMR completion rates of community pharmacies contracted with a national MTM vendor. Methodsl Representatives from 27,560 pharmacy locations contracted with a national MTM vendor were surveyed. The dependent variable of interest was the pharmacies' CMR completion rate. Independent variables included the pharmacy's progressiveness stratum and number of CMRs assigned by the MTM vendor during the time period, as well as self-reported data to characterize MTM facilitators, barriers, delivery strategies, staffing, selected items from a modified Assessment of Chronic Illness Care, and pharmacist/pharmacy demographics. Univariate negative binomial models were fit for each independent variable, and variables significant at p < 0.05 were entered into a multivariable model. Results Representatives from 3836 (13.9%) pharmacy locations responded; of these, 90.9% (n = 3486) responses were useable. The median CMR completion rate was 0.42. Variables remaining significant at p < 0.05 in the multivariable model included: progressiveness strata; pharmacy type; scores on the facilitators scale; responses to two potential barriers items; scores on the patient/caregiver delivery strategies sub-scale; providing MTM at multiple locations; reporting that the MTM vendor sending the survey link is the primary MTM vendor for which the respondent provides MTM; and the number of hours per week that the pharmacy is open. Conclusions Factors at the respondent (e.g., responses to facilitators scale) and pharmacy (e.g., pharmacy type) levels were associated with CMR completion rates. These findings could be used by MTM stakeholders to improve CMR completion rates.Item Factors Associated with Comprehensive Medication Review Completion Rates: A National Survey of Community Pharmacists(Elsevier, 2020-05) Snyder, Margie E.; Jaynes, Heather A.; Gernant, Stephanie A.; Lantaff, Wendy M.; Doucette, William R.; Suchanek Hudmon, Karen; Perkins, Susan M.; Biostatistics, School of Public HealthBackground: Completion rates for medication therapy management (MTM) services have been lower than desired and the Centers for Medicare and Medicaid Services has added MTM comprehensive medication review (CMR) completion rates as a Part D plan star measure. Over half of plans utilize community pharmacists via contracts with MTM vendors. Objectives: The primary objective of this survey study was to identify factors associated with the CMR completion rates of community pharmacies contracted with a national MTM vendor. Methodsl: Representatives from 27,560 pharmacy locations contracted with a national MTM vendor were surveyed. The dependent variable of interest was the pharmacies' CMR completion rate. Independent variables included the pharmacy's progressiveness stratum and number of CMRs assigned by the MTM vendor during the time period, as well as self-reported data to characterize MTM facilitators, barriers, delivery strategies, staffing, selected items from a modified Assessment of Chronic Illness Care, and pharmacist/pharmacy demographics. Univariate negative binomial models were fit for each independent variable, and variables significant at p < 0.05 were entered into a multivariable model. Results: Representatives from 3836 (13.9%) pharmacy locations responded; of these, 90.9% (n = 3486) responses were useable. The median CMR completion rate was 0.42. Variables remaining significant at p < 0.05 in the multivariable model included: progressiveness strata; pharmacy type; scores on the facilitators scale; responses to two potential barriers items; scores on the patient/caregiver delivery strategies sub-scale; providing MTM at multiple locations; reporting that the MTM vendor sending the survey link is the primary MTM vendor for which the respondent provides MTM; and the number of hours per week that the pharmacy is open. Conclusions: Factors at the respondent (e.g., responses to facilitators scale) and pharmacy (e.g., pharmacy type) levels were associated with CMR completion rates. These findings could be used by MTM stakeholders to improve CMR completion rates.Item Variation in Medication Therapy Management Delivery: Implications for Health Care Policy(AMCP, 2018-09) Snyder, Margie E.; Jaynes, Heather A.; Gernant, Stephanie A.; Lantaff, Wendy M.; Suchanek Hudmon, Karen; Doucette, William R.; Medicine, School of MedicineBACKGROUND: Medication therapy management (MTM) program evaluations have revealed mixed outcomes, with some studies finding favorable outcomes and others finding no differences between patients who received MTM versus those who did not. One possible reason for outcomes variability is differences in delivery of MTM programs. The Chronic Care Model (CCM) provides a framework for how health care organizations can improve care for the chronically ill through 6 elements: organization of health care, delivery system design, clinical information systems, decision support, self-management, and linkages to community resources. OBJECTIVE: To apply the CCM to understand variation in MTM delivery and formulate policy recommendations. METHODS: This study used a mixed-methods descriptive analysis of MTM delivery. Investigators conducted visits to a purposeful sample of MTM practices to observe MTM and interview participants. The pharmacists and staff of these practices completed a modified Assessment of Chronic Illness Care (ACIC). Pairs of investigators analyzed interview transcripts to identify themes. Demographics and ACIC scores were summarized using descriptive statistics. After analysis, investigators discussed overarching themes and policy implications organized by CCM elements. RESULTS: Seven practices participated, and 87 participants were interviewed. Based on ACIC scores, MTM patient volume, and payer mix, practices were categorized as Early Maturity Level or Later Maturity Level. From the model, organization of health care themes included whether MTM was the practice’s core competence, belief/confidence in the MTM process, lack of formal rewards, and the influence of organizational goals and external environment. Delivery system design themes pertained to the extent that MTM processes were formalized. Clinical information systems themes were the extent to which systems were influenced by payers, efficiency strategies, and the accuracy and availability of information. In considering clinical decision support themes, alert design limitations and variation in user approaches to alerts based on experience were noted. We observed strong support for patient self-management; when present, barriers were attributed to the patient, MTM provider, or payer. Referral to community resources was minimal. Numerous policy implications were identified. CONCLUSIONS: Our research identified numerous ways by which MTM delivery varies, particularly by MTM practice maturity level. These findings provide evidence for several policy changes that could be considered to optimize MTM delivery, encourage alignment with the CCM, and promote practice maturation.