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  1. Book: Treatment of major depressive disorder in patients failing initial therapy

    Malone, Daniel C. / Tierney, John T.

    an excel-based pharmacoeconomic model

    (Journal of managed care pharmacy ; 13,6,S-a = Suppl.)

    2007  

    Author's details Daniel C. Molone ; John G. Tierney
    Series title Journal of managed care pharmacy ; 13,6,S-a = Suppl.
    Collection
    Language English
    Size S18 S. : graph. Darst.
    Publisher Acad. of Managed Care Pharmacy
    Publishing place Alexandria, VA
    Publishing country United States
    Document type Book
    HBZ-ID HT015277396
    Database Catalogue ZB MED Medicine, Health

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  2. Article: Barriers and facilitators to implementing simulation into pharmacy programs globally.

    Singh, Harjit K / Mak, Vivienne / Sewell, Keith / Malone, Daniel T

    Journal of pharmaceutical policy and practice

    2023  Volume 16, Issue 1, Page(s) 26

    Abstract: Background: MyDispense is a simulation software developed by Monash University that has been utilized by over 200 institutions worldwide to educate pharmacy students. However, little is known about the processes by which it is used to teach dispensing ... ...

    Abstract Background: MyDispense is a simulation software developed by Monash University that has been utilized by over 200 institutions worldwide to educate pharmacy students. However, little is known about the processes by which it is used to teach dispensing skills to students and how they use it to facilitate critical thinking in an authentic environment. This study aimed to understand and investigate how simulations are used to teach dispensing skills in pharmacy programs globally, and to determine the opinions, attitudes and experiences of pharmacy educators towards MyDispense and other simulation software within their pharmacy program.
    Methods: Purposive sampling was used to identify pharmacy institutions for the study. A total of 57 educators were contacted, 18 responded to the study invitation, 12 were MyDispense users and 6 were non-users. Two investigators conducted an inductive thematic analysis to generate key themes and subthemes to provide insight into the opinions, attitudes and experiences towards MyDispense and other simulation software used specifically for dispensing within pharmacy programs.
    Results: 26 pharmacy educators were interviewed, of which 14 were individual interviews and four were group interviews. Intercoder reliability was investigated and a Kappa coefficient of 0.72 indicated substantial agreement between both coders. Five main themes were identified: "dispensing and counseling", which encompassed discussions about how dispensing techniques were taught, the time allocated for students to practice their skills and the use of software other than MyDispense; "description of MyDispense use" includes discussions about the setup of the software, how dispensing skills were taught prior to using MyDispense as well as its use in student assessments; "barriers to MyDispense use", covers discussions about the obstacles users have faced; "facilitators to use MyDispense", includes discussion about the various motivators to using MyDispense and lastly "future use and suggested improvements" of MyDispense are covered by the interviewees.
    Conclusion: The initial outcomes of this project evaluated the awareness and utilization of MyDispense and other dispensing simulations by pharmacy programs globally. By addressing the barriers of use, promotion of the sharing of MyDispense cases can assist in creating more authentic assessments, as well as improving staff workload management. The outcomes of this research will also facilitate the development of a framework for MyDispense implementation, thus streamlining and improving the uptake of MyDispense by pharmacy institutions globally.
    Language English
    Publishing date 2023-02-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 2734772-2
    ISSN 2052-3211
    ISSN 2052-3211
    DOI 10.1186/s40545-023-00531-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Insights into insurance coverage for digital therapeutics: A qualitative study of US payer perspectives.

    Lumbreras, Ainhoa Gomez / Hurwitz, Jason T / Liang, Xi / Schippers, Sierra / Phillip, Katie / Bhattacharjee, Sandipan / Waters, Heidi C / Malone, Daniel C

    Journal of managed care & specialty pharmacy

    2024  Volume 30, Issue 4, Page(s) 313–325

    Abstract: Background: In the last decade there has been an increase in the development and marketing of digital therapeutic (DTx) products aiming to prevent, manage, or treat a medical disorder or disease. Health insurance coverage for these products is not well ... ...

    Abstract Background: In the last decade there has been an increase in the development and marketing of digital therapeutic (DTx) products aiming to prevent, manage, or treat a medical disorder or disease. Health insurance coverage for these products is not well established, and payers are facing increasing pressure to include these products as a covered benefit.
    Objective: To examine factors and characteristics that could drive health insurance coverage of DTx products from US payers' and coverage decision-makers' perspectives.
    Methods: This was a qualitative noninterventional, cross-sectional study conducted from August 2022 to October 2022. Virtual focus group meetings with pharmacy benefit managers/directors or medical directors representing a range of health insurance organizations were held following a semistructured interview guide. Convenience and snowball sampling techniques were used to identify participants. Transcripts were coded and analyzed with Atlas.ti software to identify common themes and subthemes.
    Results: Five focus group meetings and 1 individual interview were held from August to October 2022. Participants (n = 22) were mostly pharmacists (n = 18, 85%) with more than 15 years of experience (n = 18, 85%). Some participants indicated that DTx products for diabetes (n = 6, 29%), mental/behavioral health (n = 3, 14%), and substance abuse disorders (n = 3, 14%) were already covered by their organizations. The topics generating the most comments grouped by code were issues around the evidence for DTx (67 unique comments) and barriers for coverage (60 unique comments). Participants indicated they want to have evidence of effectiveness that is similar to traditional pharmaceutical products. Barriers for coverage included a need to revise benefit policies, exclusion of nonprescription products, and mechanisms for billing. DTx products with an indication for mental/behavioral health were viewed as most likely to be reimbursed. Coverage of DTx products may occur under either the pharmacy or medical benefit.
    Conclusions: Health care payers stated that evidence of effectiveness was a necessary condition for health insurance coverage of DTx products. Given these are relatively new in health care, payers had more questions than answers regarding how these products will be integrated into health benefits.
    MeSH term(s) Humans ; Cross-Sectional Studies ; Delivery of Health Care ; Insurance, Health ; Pharmacists ; Insurance Coverage
    Language English
    Publishing date 2024-01-19
    Publishing country United States
    Document type Journal Article
    ISSN 2376-1032
    ISSN (online) 2376-1032
    DOI 10.18553/jmcp.2024.30.4.313
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Interpretable Machine Learning Prediction of Drug-Induced QT Prolongation: Electronic Health Record Analysis.

    Simon, Steven T / Trinkley, Katy E / Malone, Daniel C / Rosenberg, Michael Aaron

    Journal of medical Internet research

    2022  Volume 24, Issue 12, Page(s) e42163

    Abstract: Background: Drug-induced long-QT syndrome (diLQTS) is a major concern among patients who are hospitalized, for whom prediction models capable of identifying individualized risk could be useful to guide monitoring. We have previously demonstrated the ... ...

    Abstract Background: Drug-induced long-QT syndrome (diLQTS) is a major concern among patients who are hospitalized, for whom prediction models capable of identifying individualized risk could be useful to guide monitoring. We have previously demonstrated the feasibility of machine learning to predict the risk of diLQTS, in which deep learning models provided superior accuracy for risk prediction, although these models were limited by a lack of interpretability.
    Objective: In this investigation, we sought to examine the potential trade-off between interpretability and predictive accuracy with the use of more complex models to identify patients at risk for diLQTS. We planned to compare a deep learning algorithm to predict diLQTS with a more interpretable algorithm based on cluster analysis that would allow medication- and subpopulation-specific evaluation of risk.
    Methods: We examined the risk of diLQTS among 35,639 inpatients treated between 2003 and 2018 with at least 1 of 39 medications associated with risk of diLQTS and who had an electrocardiogram in the system performed within 24 hours of medication administration. Predictors included over 22,000 diagnoses and medications at the time of medication administration, with cases of diLQTS defined as a corrected QT interval over 500 milliseconds after treatment with a culprit medication. The interpretable model was developed using cluster analysis (K=4 clusters), and risk was assessed for specific medications and classes of medications. The deep learning model was created using all predictors within a 6-layer neural network, based on previously identified hyperparameters.
    Results: Among the medications, we found that class III antiarrhythmic medications were associated with increased risk across all clusters, and that in patients who are noncritically ill without cardiovascular disease, propofol was associated with increased risk, whereas ondansetron was associated with decreased risk. Compared with deep learning, the interpretable approach was less accurate (area under the receiver operating characteristic curve: 0.65 vs 0.78), with comparable calibration.
    Conclusions: In summary, we found that an interpretable modeling approach was less accurate, but more clinically applicable, than deep learning for the prediction of diLQTS. Future investigations should consider this trade-off in the development of methods for clinical prediction.
    MeSH term(s) Humans ; Electronic Health Records ; Machine Learning ; Long QT Syndrome/chemically induced ; Long QT Syndrome/diagnosis ; Electrocardiography ; Cluster Analysis
    Language English
    Publishing date 2022-12-01
    Publishing country Canada
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2028830-X
    ISSN 1438-8871 ; 1438-8871
    ISSN (online) 1438-8871
    ISSN 1438-8871
    DOI 10.2196/42163
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Exploring cognitive apprenticeship and teaching practices in pharmacy education.

    Minshew, Lana M / Malone, Daniel T / Cain, Jeff / McLaughlin, Jacqueline E

    Advances in health sciences education : theory and practice

    2022  Volume 27, Issue 4, Page(s) 1095–1111

    Abstract: Health professions schools in the United States and internationally have engaged in curricular changes to better prepare students for the future of health care. However, designing or selecting evidence-based teaching activities can be a challenge. ... ...

    Abstract Health professions schools in the United States and internationally have engaged in curricular changes to better prepare students for the future of health care. However, designing or selecting evidence-based teaching activities can be a challenge. Research suggests the Cognitive Apprenticeship theory is an effective framework for the health professions to inform instruction design, yet these studies have mainly focused on the clinical setting and not the didactic learning environment. This study used qualitative methods to explore the Cognitive Apprenticeship framework in the didactic learning environment and the teaching practices that pharmacy faculty used to explicate their expert thinking to students. Faculty were observed using all four Cognitive Apprenticeship dimensions (ie, Content, Sequencing, Methods, Sociology) in their teaching practice. Patterns were observed in the data revealing complex, short and sometimes spontaneous teaching practices that faculty used to promote learning.
    MeSH term(s) Humans ; United States ; Education, Pharmacy ; Learning ; Faculty ; Health Occupations ; Cognition ; Teaching ; Curriculum
    Language English
    Publishing date 2022-07-07
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1352832-4
    ISSN 1573-1677 ; 1382-4996
    ISSN (online) 1573-1677
    ISSN 1382-4996
    DOI 10.1007/s10459-022-10132-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Design considerations for cases used in pharmacy teaching and learning using the case difficulty cube.

    Spark, M Joy / Baverstock, Katherine / Malone, Daniel T / Maynard, Greggory / Stupans, Ieva

    Currents in pharmacy teaching & learning

    2022  Volume 14, Issue 10, Page(s) 1246–1255

    Abstract: Introduction: Learner-centered authentic learning opportunities in health science disciplines can be provided using cases to allow integration of theoretical knowledge across multiple subject areas and development of problem-solving skills. We have ... ...

    Abstract Introduction: Learner-centered authentic learning opportunities in health science disciplines can be provided using cases to allow integration of theoretical knowledge across multiple subject areas and development of problem-solving skills. We have previously described the adaptation of the case difficulty cube (CDC), a model from business education, that proposes assignment of case difficulty based on three dimensions (analytical, conceptual, and presentation) in pharmacy education.
    Methods: The CDC for use in health science disciplines (modCDC) was evaluated using 13 cases from summative undergraduate pharmacy examinations. Inter-rater agreement (IRA) and inter-rater reliability (IRR) for modCDC ratings were first determined, then a post hoc investigation of the relationship between the modCDC score and student marks was undertaken.
    Results: First, the IRA for each dimension of the modCDC was adequate for aggregating ratings. IRR was excellent for the conceptual axis, good for the presentation axis, and poor for the analytical axis. Second, analysis of the relationship between the modCDC score and student marks indicated that there was a significant difference between student marks awarded at each level of case difficulty, except for the lower levels of difficulty. The results indicate that the modCDC is a relatively robust tool that could be used to determine case difficulty prior to cases being used in assessments.
    Conclusions: The modCDC is a simple tool that can assist academic staff in providing consistent learning opportunities for, and assessment of, pharmacy students at an appropriate level.
    MeSH term(s) Humans ; Reproducibility of Results ; Education, Pharmacy/methods ; Students, Pharmacy ; Learning ; Pharmacy
    Language English
    Publishing date 2022-09-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2515217-8
    ISSN 1877-1300 ; 1877-1297
    ISSN (online) 1877-1300
    ISSN 1877-1297
    DOI 10.1016/j.cptl.2022.09.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Effect of Changing From Closed-Book to Formulary-Allowed Examinations.

    Malone, Daniel T / Chuang, Sara / Yuriev, Elizabeth / Short, Jennifer L

    American journal of pharmaceutical education

    2020  Volume 85, Issue 1, Page(s) 7990

    Abstract: Objective. ...

    Abstract Objective.
    MeSH term(s) Australia ; Education, Pharmacy ; Educational Measurement ; Humans ; Learning ; Students, Pharmacy
    Language English
    Publishing date 2020-10-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 603807-4
    ISSN 1553-6467 ; 0002-9459
    ISSN (online) 1553-6467
    ISSN 0002-9459
    DOI 10.5688/ajpe7990
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Cost-effectiveness of once-daily vs twice-daily tacrolimus among Hispanic and Black kidney transplant recipients.

    Hurwitz, Jason T / Grizzle, Amy J / Tyler, Carmelina S / Zapata, Lorenzo Villa / Malone, Daniel C

    Journal of managed care & specialty pharmacy

    2021  Volume 27, Issue 7, Page(s) 948–960

    Abstract: BACKGROUND: ...

    Abstract BACKGROUND:
    MeSH term(s) Black or African American ; Cost-Benefit Analysis ; Decision Support Techniques ; Drug Administration Schedule ; Hispanic or Latino ; Humans ; Immunosuppressive Agents/administration & dosage ; Immunosuppressive Agents/economics ; Kidney Transplantation ; Prospective Studies ; Tacrolimus/administration & dosage ; Tacrolimus/economics ; United States
    Chemical Substances Immunosuppressive Agents ; Tacrolimus (WM0HAQ4WNM)
    Language English
    Publishing date 2021-06-29
    Publishing country United States
    Document type Journal Article
    ISSN 2376-1032
    ISSN (online) 2376-1032
    DOI 10.18553/jmcp.2021.27.7.948
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Self-Assessment of Therapeutic Decision-Making Skills in Pharmacy Students.

    Abeyaratne, Carmen / Nhu, To / Malone, Daniel

    American journal of pharmaceutical education

    2021  Volume 86, Issue 4, Page(s) 8696

    Abstract: Objective. ...

    Abstract Objective.
    MeSH term(s) Education, Pharmacy/methods ; Educational Measurement/methods ; Humans ; Metacognition/physiology ; Self-Assessment ; Students, Pharmacy
    Language English
    Publishing date 2021-09-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 603807-4
    ISSN 1553-6467 ; 0002-9459
    ISSN (online) 1553-6467
    ISSN 0002-9459
    DOI 10.5688/ajpe8696
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Of Mouse and Man: Cross-Species Characterization of Hypertensive Cardiac Remodeling.

    Cooper, Susanna T E / Westaby, Joseph D / Haines, Zoe H R / Malone, Giles O / Sheppard, Mary N / Meijles, Daniel N

    International journal of molecular sciences

    2022  Volume 23, Issue 14

    Abstract: Hypertension is a major public health concern and poses a significant risk for sudden cardiac death (SCD). However, the characterisation of human tissues tends to be macroscopic, with little appreciation for the quantification of the pathological ... ...

    Abstract Hypertension is a major public health concern and poses a significant risk for sudden cardiac death (SCD). However, the characterisation of human tissues tends to be macroscopic, with little appreciation for the quantification of the pathological remodelling responsible for the advancement of the disease. While the components of hypertensive remodelling are well established, the timeline and comparative quantification of pathological changes in hypertension have not been shown before. Here, we sought to identify the phasing of cardiac remodelling with hypertension using post-mortem tissue from SCD patients with early and advanced hypertensive heart disease (HHD). In order to study and quantify the progression of phenotypic changes, human specimens were contrasted to a well-described angiotensin-II-mediated hypertensive mouse model. While cardiomyocyte hypertrophy is an early adaptive response in the mouse that stabilises in established hypertension and declines as the disease progresses, this finding did not translate to the human setting. In contrast, optimising fibrosis quantification methods and applying them to each setting identified perivascular fibrosis as the prevailing possible cause for overall disease progression. Indeed, assessing myocardial inflammation highlights CD45+ inflammatory cell infiltration that precedes fibrosis and is an early-phase event in response to elevated arterial pressures that may underscore perivascular remodelling. Along with aetiology insight, we highlight cross-species comparison for quantification of cardiac remodelling in human hypertension. As such, this platform could assist with the development of therapies specific to the disease phase rather than targeting global components of hypertension, such as blood pressure lowering.
    MeSH term(s) Angiotensin II/physiology ; Animals ; Blood Pressure ; Disease Models, Animal ; Fibrosis ; Heart ; Humans ; Hypertension ; Mice ; Myocardium/pathology ; Myocytes, Cardiac/pathology ; Ventricular Remodeling
    Chemical Substances Angiotensin II (11128-99-7)
    Language English
    Publishing date 2022-07-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms23147709
    Database MEDical Literature Analysis and Retrieval System OnLINE

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