Bibliographic Details
| Title: |
Using Patient Profiles To Guide The Choice Of Antihistamines In The Primary Care Setting In Malaysia: Expert Consensus And Recommendations. |
| Authors: |
Baharudin, Abdullah, Latiff, Amir Hamzah Abdul, Woo, Kent, Yap, Felix Boon-Bin, Tang, Ing Ping, Leong, Kin Fon, Chin, Wai Seong, Wang, De Yun, Abdul Latiff, Amir Hamzah |
| Source: |
Therapeutics & Clinical Risk Management; Oct2019, Vol. 15, p1267-1275, 9p |
| Subject Terms: |
PRIMARY care, MEDICAL personnel, URTICARIA, ANTIHISTAMINES, ALLERGIC rhinitis |
| Geographic Terms: |
MALAYSIA |
| Abstract: |
H1-antihistamines are recognized to be effective for conditions such as allergic rhinitis and chronic spontaneous urticaria. However, management of such conditions in the real-world primary care setting may be challenging due to diverse patient-specific considerations, the wide range of antihistamines available, choice of other treatment modalities, and the complexity of interpreting specialist treatment algorithms. Despite regular updates to international guidelines, regional/national surveys of healthcare professionals show a clear gap between guidelines and real-world practice, particularly at the primary care level. This article thus presents the consensus opinion of experts from relevant specialties in Malaysia - allergology, pediatrics, otorhinolaryngology, and dermtology - on harmonizing the use and choice of antihistamines in primary care. Patient profiling is recommended as a tool to guide primary care practitioners in prescribing the appropriate antihistamine for each patient. Patient profiling is a three-step approach that involves 1) identifying the individual's needs; 2) reviewing patient-specific considerations; and 3) monitoring treatment response and referral to specialists in more severe or difficult-to-treat cases. Concurrently, guidelct 3ines should be reviewed and updated periodically to include recommendations that are easily actionable for primary care practitioners. [ABSTRACT FROM AUTHOR] |
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| Database: |
Complementary Index |
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