International Nurse Licensure: Predictor Factors Associated With Passing the Indonesian Nurse Competency Examination

2021 ◽  
Vol 12 (2) ◽  
pp. 41-48
Author(s):  
Takdir Tahir ◽  
Suni Hariati ◽  
Fifi Riskayani ◽  
Midawati Djafar
2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1132.2-1132
Author(s):  
A. Rodríguez-Alarcón ◽  
N. Carballo ◽  
L. Río ◽  
C. Pérez ◽  
E. González-Colominas ◽  
...  

Background:Patient adherence is a key determinant of treatment success in rheumatologic immune-mediated diseases. Available data about adherence to biological treatments and factors associated to non-adherence is limited in Spain. Moreover, no studies compare adherence between subcutaneous and oral drugs.Objectives:To evaluate non-adherence to prescribed subcutaneous biologicals and oral drugs in patients with rheumatologic immune-mediated diseases and to assess possible predictor factors associated to treatment non-adherence.Methods:Retrospective observational study including all patients with oral and subcutaneous treatment for rheumatologic immune-mediated diseases from 2017 to 2019 in the outpatient pharmaceutical care area from a tertiary university hospital. Non-adherence was evaluated by reviewing all scheduled drug-dispensing visits in the computerized application. We considered non-adherent every time that a patient missed at least one drug administration.Data collected: demographic, total patients and patient-treatments, total dispensing visits and route of administration for drug dispensed in every visit.We classified patients in adherent and non-adherent considering dispensing visits. Non-adherent group: number of dispensing visits, reasons for non-adherence, number of missed administrations per patient and drug and predictor factors for non-adherence.Results:783 patients included: 52.4(13.7) years; 427(54.5%) female; 164 (20.9%) smoker; 697 (89%) Caucasian.A total of 79 (10.1%) of 783 patients received more than one treatment.869 patient-treatments: 294 adalimumab (33.8%), 236 etanercept (27.2%), 78 golimumab (8.9%), 47 apremilast (5.4%), 39 certolizumab (4.5%), 34 secukinumab (3.9%), 30 tocilizumab (3.5%).9,197 dispensing visits. Route of administration: 6,406 subcutaneous (93.2%), 374 oral (6.8%).Non-adherence analysis: 2417 (26.3%) dispensing visits, reasons for non-adherence/ dispensing visits: 92 unjustified (97.5%), 33 infection (1.4%), 18 (surgery) 0.7%, 3 pregnancy (0.1%), 6 others (0.3%).Number of missed administrations/patient treatment: 675 patients missed at least one administration (77.7%).Mean 2.5 (±12.9) missed administrations.Number of missed administrations/drug: 9.9 baricitinib (±20.8), 15.8 tofacitinib (±31.2), 25.4 apremilast (±53.2).Predictor factors for non-adherence: ethnicity (p=0.015), treatment with golimumab (p=0.006), and tocilizumab (p=0.036). Age (p=0.072).Conclusion:- Non-adherence to the prescribed drug occurred in 77.7% of patients with rheumatologic immune-mediated diseases- Demographic factors such as ethnicity as well as golimumab and tocilizumab treatment, despite their different frequency of administration, were predictors for non-adherence- Route of administration did not influence non-adherence.Disclosure of Interests:None declared


Author(s):  
Hilton H. Mollenhauer

Many factors (e.g., resolution of microscope, type of tissue, and preparation of sample) affect electron microscopical images and alter the amount of information that can be retrieved from a specimen. Of interest in this report are those factors associated with the evaluation of epoxy embedded tissues. In this context, informational retrieval is dependant, in part, on the ability to “see” sample detail (e.g., contrast) and, in part, on tue quality of sample preservation. Two aspects of this problem will be discussed: 1) epoxy resins and their effect on image contrast, information retrieval, and sample preservation; and 2) the interaction between some stains commonly used for enhancing contrast and information retrieval.


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