scholarly journals Drug interactions detected by a computer-assisted prescription system in primary care patients in Spain: MULTIPAP study

2021 ◽  
Vol 27 (1) ◽  
pp. 90-96
Author(s):  
Eloísa Rogero-Blanco ◽  
Isabel Del-Cura-González ◽  
Mercedes Aza-Pascual-Salcedo ◽  
Francisca García de Blas González ◽  
Carmen Terrón-Rodas ◽  
...  
Keyword(s):  
Primary Care ◽  
Drug Interactions ◽  
Computer Assisted ◽  
Primary Care Patients

scholarly journals Development of a diagnostic decision tree for obstructive pulmonary diseases based on real-life data

2016 ◽  
Vol 2 (1) ◽  
pp. 00077-2015 ◽  
Author(s):  
Esther I. Metting ◽  
Johannes C.C.M. in ’t Veen ◽  
P.N. Richard Dekhuijzen ◽  
Ellen van Heijst ◽  
Janwillem W.H. Kocks ◽  
...  
Keyword(s):  
Primary Care ◽  
Decision Tree ◽  
Pulmonary Disease ◽  
External Validation ◽  
Real Life ◽  
Computer Assisted ◽  
Obstructive Pulmonary Disease ◽  
Primary Care Population ◽  
Interaction Detection ◽  
Primary Care Patients

The aim of this study was to develop and explore the diagnostic accuracy of a decision tree derived from a large real-life primary care population.Data from 9297 primary care patients (45% male, mean age 53±17 years) with suspicion of an obstructive pulmonary disease was derived from an asthma/chronic obstructive pulmonary disease (COPD) service where patients were assessed using spirometry, the Asthma Control Questionnaire, the Clinical COPD Questionnaire, history data and medication use. All patients were diagnosed through the Internet by a pulmonologist. The Chi-squared Automatic Interaction Detection method was used to build the decision tree. The tree was externally validated in another real-life primary care population (n=3215).Our tree correctly diagnosed 79% of the asthma patients, 85% of the COPD patients and 32% of the asthma–COPD overlap syndrome (ACOS) patients. External validation showed a comparable pattern (correct: asthma 78%, COPD 83%, ACOS 24%).Our decision tree is considered to be promising because it was based on real-life primary care patients with a specialist's diagnosis. In most patients the diagnosis could be correctly predicted. Predicting ACOS, however, remained a challenge. The total decision tree can be implemented in computer-assisted diagnostic systems for individual patients. A simplified version of this tree can be used in daily clinical practice as a desk tool.

scholarly journals Potential Drug-Drug Interactions in a Cohort of Elderly, Polymedicated Primary Care Patients on Antithrombotic Treatment

Drugs & Aging ◽  
2018 ◽  
Vol 35 (6) ◽  
pp. 559-568 ◽  
Author(s):  
Katharina Luise Schneider ◽  
Kathrin Kastenmüller ◽  
Klaus Weckbecker ◽  
Markus Bleckwenn ◽  
Miriam Böhme ◽  
...  
Keyword(s):  
Primary Care ◽  
Drug Interactions ◽  
Potential Drug ◽  
Antithrombotic Treatment ◽  
Primary Care Patients

Prevalence and typology of potential drug interactions occurring in primary care patients

2010 ◽  
Vol 16 (2) ◽  
pp. 92-99 ◽  
Author(s):  
Julio J. Lopez-Picazo ◽  
Juan C. Ruiz ◽  
Jose F Sanchez ◽  
Angeles Ariza ◽  
Belen Aguilera ◽  
...  
Keyword(s):  
Primary Care ◽  
Drug Interactions ◽  
Potential Drug ◽  
Primary Care Patients

scholarly journals Computer-assisted assessment of depression and function in older primary care patients

2004 ◽  
Vol 73 (2) ◽  
pp. 165-171 ◽  
Author(s):  
Reyis Kurt ◽  
Hillary R. Bogner ◽  
Joseph B. Straton ◽  
Allen Y. Tien ◽  
Joseph J. Gallo
Keyword(s):  
Primary Care ◽  
Computer Assisted ◽  
Primary Care Patients ◽  
And Function

scholarly journals Validation of an audio computer-assisted self-interview (ACASI) version of the alcohol, smoking and substance involvement screening test (ASSIST) in primary care patients

Addiction ◽  
2015 ◽  
Vol 111 (2) ◽  
pp. 233-244 ◽  
Author(s):  
Jennifer McNeely ◽  
Shiela M. Strauss ◽  
John Rotrosen ◽  
Arianne Ramautar ◽  
Marc N. Gourevitch
Keyword(s):  
Primary Care ◽  
Screening Test ◽  
Computer Assisted ◽  
Primary Care Patients ◽  
Audio Computer ◽  
Substance Involvement
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