Comparative Oral Drug Classification Systems: Acetazolamide, Azithromycin, Clopidogrel, and Efavirenz Case Studies

2018 ◽  
Vol 15 (8) ◽  
pp. 3187-3196
Author(s):  
Maria Julia Mora ◽  
Renée Onnainty ◽  
Gladys Ester Granero
2017 ◽  
Vol 146 ◽  
pp. 59-67 ◽  
Author(s):  
Beverly Nickerson ◽  
Brent Harrington ◽  
Fasheng Li ◽  
Michele Xuemei Guo

2015 ◽  
Vol 58 (2) ◽  
pp. 181-204 ◽  
Author(s):  
Hilary Matfess

Abstract:Current classification systems create typologies of authoritarian regimes that may overlook the importance of national policies. Rwanda and Ethiopia in particular are perplexing case studies of post-1990s governance. Both nations are characterized by high growth economies with significant state involvement and the formal institutions of democracy, but deeply troubling patterns of domestic governance. This article proposes a new category of authoritarianism called “developmental authoritarianism,” which refers to nominally democratic governments that provide significant public works and services while exerting control over nearly every facet of society. The article then reflects upon the durability and implications of this form of governance.


10.2196/14777 ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. e14777 ◽  
Author(s):  
Caitrin W McDonough ◽  
Steven M Smith ◽  
Rhonda M Cooper-DeHoff ◽  
William R Hogan

Background Computable phenotypes have the ability to utilize data within the electronic health record (EHR) to identify patients with certain characteristics. Many computable phenotypes rely on multiple types of data within the EHR including prescription drug information. Hypertension (HTN)-related computable phenotypes are particularly dependent on the correct classification of antihypertensive prescription drug information, as well as corresponding diagnoses and blood pressure information. Objective This study aimed to create an antihypertensive drug classification system to be utilized with EHR-based data as part of HTN-related computable phenotypes. Methods We compared 4 different antihypertensive drug classification systems based off of 4 different methodologies and terminologies, including 3 RxNorm Concept Unique Identifier (RxCUI)–based classifications and 1 medication name–based classification. The RxCUI-based classifications utilized data from (1) the Drug Ontology, (2) the new Medication Reference Terminology, and (3) the Anatomical Therapeutic Chemical Classification System and DrugBank, whereas the medication name–based classification relied on antihypertensive drug names. Each classification system was applied to EHR-based prescription drug data from hypertensive patients in the OneFlorida Data Trust. Results There were 13,627 unique RxCUIs and 8025 unique medication names from the 13,879,046 prescriptions. We observed a broad overlap between the 4 methods, with 84.1% (691/822) to 95.3% (695/729) of terms overlapping pairwise between the different classification methods. Key differences arose from drug products with multiple dosage forms, drug products with an indication of benign prostatic hyperplasia, drug products that contain more than 1 ingredient (combination products), and terms within the classification systems corresponding to retired or obsolete RxCUIs. Conclusions In total, 2 antihypertensive drug classifications were constructed, one based on RxCUIs and one based on medication name, that can be used in future computable phenotypes that require antihypertensive drug classifications.


2019 ◽  
Author(s):  
Caitrin W McDonough ◽  
Steven M Smith ◽  
Rhonda M Cooper-DeHoff ◽  
William R Hogan

BACKGROUND Computable phenotypes have the ability to utilize data within the electronic health record (EHR) to identify patients with certain characteristics. Many computable phenotypes rely on multiple types of data within the EHR including prescription drug information. Hypertension (HTN)-related computable phenotypes are particularly dependent on the correct classification of antihypertensive prescription drug information, as well as corresponding diagnoses and blood pressure information. OBJECTIVE This study aimed to create an antihypertensive drug classification system to be utilized with EHR-based data as part of HTN-related computable phenotypes. METHODS We compared 4 different antihypertensive drug classification systems based off of 4 different methodologies and terminologies, including 3 RxNorm Concept Unique Identifier (RxCUI)–based classifications and 1 medication name–based classification. The RxCUI-based classifications utilized data from (1) the Drug Ontology, (2) the new Medication Reference Terminology, and (3) the Anatomical Therapeutic Chemical Classification System and DrugBank, whereas the medication name–based classification relied on antihypertensive drug names. Each classification system was applied to EHR-based prescription drug data from hypertensive patients in the OneFlorida Data Trust. RESULTS There were 13,627 unique RxCUIs and 8025 unique medication names from the 13,879,046 prescriptions. We observed a broad overlap between the 4 methods, with 84.1% (691/822) to 95.3% (695/729) of terms overlapping pairwise between the different classification methods. Key differences arose from drug products with multiple dosage forms, drug products with an indication of benign prostatic hyperplasia, drug products that contain more than 1 ingredient (combination products), and terms within the classification systems corresponding to retired or obsolete RxCUIs. CONCLUSIONS In total, 2 antihypertensive drug classifications were constructed, one based on RxCUIs and one based on medication name, that can be used in future computable phenotypes that require antihypertensive drug classifications.


2020 ◽  
Vol Volume 13 ◽  
pp. 2753-2768
Author(s):  
Doungporn Leelavanich ◽  
Noppadon Adjimatera ◽  
Lawanworn Broese Van Groenou ◽  
Puree Anantachoti

2014 ◽  
Vol 2 (16) ◽  
pp. 1-136 ◽  
Author(s):  
Vari M Drennan ◽  
Mary Halter ◽  
Sally Brearley ◽  
Wilfred Carneiro ◽  
Jonathan Gabe ◽  
...  

BackgroundPrimary health care is changing as it responds to demographic shifts, technological changes and fiscal constraints. This, and predicted pressures on medical and nursing workforces, raises questions about staffing configurations. Physician assistants (PAs) are mid-level practitioners, trained in a medical model over 2 years at postgraduate level to work under a supervising doctor. A small number of general practices in England have employed PAs.ObjectiveTo investigate the contribution of PAs to the delivery of patient care in primary care services in England.DesignA mixed-methods study conducted at macro, meso and micro organisational levels in two phases: (1) a rapid review, a scoping survey of key national and regional informants, a policy review, and a survey of PAs and (2) comparative case studies in 12 general practices (six employing PAs). The latter incorporated clinical record reviews, a patient satisfaction survey, video observations of consultations and interviews with patients and professionals.ResultsThe rapid review found 49 published studies, mainly from the USA, which showed increased numbers of PAs in general practice settings but weak evidence for impact on processes and patient outcomes. The scoping survey found mainly positive or neutral views about PAs, but there was no mention of their role in workforce policy and planning documents. The survey of PAs in primary care (n = 16) found that they were mainly deployed to provide same-day appointments. The comparative case studies found that physician assistants were consulted by a wide range of patients, but these patients tended to be younger, with less medically acute or complex problems than those consulting general practitioners (GPs). Patients reported high levels of satisfaction with both PAs and GPs. The majority were willing or very willing to consult a PA again but wanted choice in which type of professional they consulted. There was no significant difference between PAs and GPs in the primary outcome of patient reconsultation for the same problem within 2 weeks, investigations/tests ordered, referrals to secondary care or prescriptions issued. GPs, blinded to the type of clinician, judged the documented activities in the initial consultation of patients who reconsulted for the same problem to be appropriate in 80% (n = 223) PA and 50% (n = 252) GP records. PAs were judged to be competent and safe from observed consultations. The average consultation with a physician assistant is significantly longer than that with a GP: 5.8 minutes for patients of average age for this sample (38 years). Costs per consultation were £34.36 for GPs and £28.14 for PAs. Costs could not be apportioned to GPs for interruptions, supervision or training of PAs.ConclusionsPAs were found to be acceptable, effective and efficient in complementing the work of GPs. PAs can provide a flexible addition to the primary care workforce. They offer another labour pool to consider in health professional workforce and education planning at local, regional and national levels. However, in order to maximise the contribution of PAs in primary care settings, consideration needs to be given to the appropriate level of regulation and the potential for authority to prescribe medicines. Future research is required to investigate the contribution of PAs to other first contact services as well as secondary services; the contribution and impact of all types of mid-level practitioners (including nurse practitioners) in first contact services; the factors and influences on general practitioner and practice manager decision-making as to staffing and skill mix; and the reliability and validity of classification systems for both primary care patients and their presenting condition and their consequences for health resource utilisation.FundingThe National Institute for Health Research Health Services and Delivery Research programme.


2003 ◽  
Vol 9 (1) ◽  
pp. 2-11 ◽  
Author(s):  
Dexter Dunphy

ABSTRACTThis paper addresses the issue of corporate sustainability. It examines why achieving sustainability is becoming an increasingly vital issue for society and organisations, defines sustainability and then outlines a set of phases through which organisations can move to achieve increasing levels of sustainability. Case studies are presented of organisations at various phases indicating the benefits, for the organisation and its stakeholders, which can be made at each phase. Finally the paper argues that there is a marked contrast between the two competing philosophies of neo-conservatism (economic rationalism) and the emerging philosophy of sustainability. Management schools have been strongly influenced by economic rationalism, which underpins the traditional orthodoxies presented in such schools. Sustainability represents an urgent challenge for management schools to rethink these traditional orthodoxies and give sustainability a central place in the curriculum.


1978 ◽  
Vol 9 (4) ◽  
pp. 220-235
Author(s):  
David L. Ratusnik ◽  
Carol Melnick Ratusnik ◽  
Karen Sattinger

Short-form versions of the Screening Test of Spanish Grammar (Toronto, 1973) and the Northwestern Syntax Screening Test (Lee, 1971) were devised for use with bilingual Latino children while preserving the original normative data. Application of a multiple regression technique to data collected on 60 lower social status Latino children (four years and six months to seven years and one month) from Spanish Harlem and Yonkers, New York, yielded a small but powerful set of predictor items from the Spanish and English tests. Clinicians may make rapid and accurate predictions of STSG or NSST total screening scores from administration of substantially shortened versions of the instruments. Case studies of Latino children from Chicago and Miami serve to cross-validate the procedure outside the New York metropolitan area.


2014 ◽  
Vol 23 (1) ◽  
pp. 42-54 ◽  
Author(s):  
Tanya Rose Curtis

As the field of telepractice grows, perceived barriers to service delivery must be anticipated and addressed in order to provide appropriate service delivery to individuals who will benefit from this model. When applying telepractice to the field of AAC, additional barriers are encountered when clients with complex communication needs are unable to speak, often present with severe quadriplegia and are unable to position themselves or access the computer independently, and/or may have cognitive impairments and limited computer experience. Some access methods, such as eye gaze, can also present technological challenges in the telepractice environment. These barriers can be overcome, and telepractice is not only practical and effective, but often a preferred means of service delivery for persons with complex communication needs.


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