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Selected Colleen Hoover Books at €9.99c | In-store & Online
Selected Colleen Hoover Books at €9.99c | In-store & Online
A01=Brendan Kelly
A01=Gautam Gulati
A01=Walter Cullen
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Age Group_Uncategorized
Author_Brendan Kelly
Author_Gautam Gulati
Author_Walter Cullen
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Category1=Non-Fiction
Category=MJ
COP=United Kingdom
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€20 to €50
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Psychiatry Algorithms for Primary Care

Psychiatry Algorithms for Primary Care is a practical, quick reference guide to psychiatric assessment and mental healthcare in general practice. Providing algorithms informed by evidence-based guidelines, this easy-to-use resource helps busy medical and healthcare professionals quickly assess mental health problems, make informed treatment decisions, and understand when referrals to specialist mental health services are appropriate. Drawing from their extensive experience in general practice and psychiatry, the authors provide clear and authoritative guidance on a wide range of common psychiatric disorders, complex scenarios, and special considerations.

Unique visual management algorithms define assessment, diagnosis, investigations and management for each condition, including Bipolar Affective Disorder, Psychosis, Depression, Dementia, and Attention Deficit Hyperactivity Disorder. Up-to-date information on medication choices and counselling strategies is found throughout the text. Designed for informing swift clinical decisions in demanding primary care settings, this indispensable reference guide:

  • Conforms to the diagnostic criteria in the current edition of the World Health Organizations International Classification of Diseases
  • Contains algorithms informed by the Royal College of General Practitioners (RCGP), Royal College of Psychiatrists (RCPsych), and the National Institute for Health and Care Excellence (NICE) guidelines
  • Explores common complaints that can suggest psychological or psychiatric disorders, such as insomnia and fatigue
  • Outlines special mental health considerations related to children, intellectual disability, autism, the elderly, and pregnancy
  • Includes appendices covering commonly prescribed drugs and physical examinations for patients with severe mental illness
  • Features numerous self-assessment questions and links to online reference tools for General Practitioners

Psychiatry Algorithms for Primary Care is a much-needed resource for medical students and trainees, physicians and healthcare professionals in general practice, nurse practitioners, and practitioners in other fields such as urgent care and emergency medicine.

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Current price €43.69
Original price €45.99
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A01=Brendan KellyA01=Gautam GulatiA01=Walter CullenAge Group_UncategorizedAuthor_Brendan KellyAuthor_Gautam GulatiAuthor_Walter Cullenautomatic-updateCategory1=Non-FictionCategory=MJCOP=United KingdomDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€20 to €50PS=Activesoftlaunch
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Product Details
  • Weight: 238g
  • Dimensions: 140 x 216mm
  • Publication Date: 21 Jan 2021
  • Publisher: John Wiley and Sons Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781119653561

About Brendan KellyGautam GulatiWalter Cullen

GAUTAM GULATI is Adjunct Associate Clinical Professor School of Medicine University of Limerick Ireland. He is a Fellow of the Royal College of Psychiatrists and the Royal College of Physicians of Ireland and current Chair of the Faculty of Forensic Psychiatry at the College of Psychiatrists of Ireland. WALTER CULLEN is Professor of Urban General Practice School of Medicine University College Dublin Ireland. He is a member of the Royal College of General Practitioners and Irish College of General Practitioners. BRENDAN KELLY is Professor of Psychiatry Trinity College Dublin Consultant Psychiatrist Tallaght University Hospital Dublin and Visiting Full Professor at University College Dublin. He is a Fellow of the Royal College of Psychiatrists the Royal College of Physicians of Ireland and Trinity College Dublin.

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