Clinical Reasoning and Decision-Making in Psychiatry
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10% KEDVEZMÉNY?
- A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
- Kiadói listaár GBP 39.99
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19 105 Ft (18 195 Ft + 5% áfa)
Az ár azért becsült, mert a rendelés pillanatában nem lehet pontosan tudni, hogy a beérkezéskor milyen lesz a forint árfolyama az adott termék eredeti devizájához képest. Ha a forint romlana, kissé többet, ha javulna, kissé kevesebbet kell majd fizetnie.
- Kedvezmény(ek) 10% (cc. 1 911 Ft off)
- Kedvezményes ár 17 194 Ft (16 376 Ft + 5% áfa)
Iratkozzon fel most és részesüljön kedvezőbb árainkból!
Feliratkozom
19 105 Ft
Beszerezhetőség
Becsült beszerzési idő: A Prosperónál jelenleg nincsen raktáron, de a kiadónál igen. Beszerzés kb. 3-5 hét..
A Prosperónál jelenleg nincsen raktáron.
Why don't you give exact delivery time?
A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.
A termék adatai:
- Kiadó Cambridge University Press
- Megjelenés dátuma 2024. április 18.
- ISBN 9781009181556
- Kötéstípus Puhakötés
- Terjedelem330 oldal
- Méret 228x139x14 mm
- Súly 480 g
- Nyelv angol 546
Kategóriák
Rövid leírás:
A clinical guide for using decision analytic principles to devise personalized treatment and management plans across psychiatric disorders.
TöbbHosszú leírás:
Mental health professionals routinely make treatment decisions without necessarily having an overarching perspective about optimal next steps. This important new book provides them with reader-friendly, pragmatic strategies to approach clinical problems as testable hypotheses. It discusses how to apply concepts based on decision analytic theory using risk-benefit analyses, contingency planning, measurement-based care, shared decision making, pharmacogenetics, disease staging, and machine learning. Readers will learn how these tools can help them craft optimal pharmacological and psychosocial interventions tailored to the needs of an individual patient. The book covers topics such as diagnostic ambiguity, interview technique, applying statistical concepts to individual patients, artificial intelligence, and managing high-risk, treatment-resistant, or demanding and difficult patients. Valuable clinical vignettes are featured throughout the book to illustrate common dilemmas and scenarios where the relative merits of competing treatment options invite a more iterative than definitive approach. For all healthcare professionals who prescribe psychotropic medications.
'In this book, Drs Joseph Goldberg and Stephen Stahl, two well-respected psychiatrists with expertise in mood disorders and psychopharmacology, clarify the thinking that goes into the provision of personalized medicine. They cogently illustrate the many dilemmas psychiatrists face in their everyday practices: how to weigh clinical observations with the scientific literature guiding expert treatment without losing sight of individual patients' histories, objectives, and preferences. Clinical vignettes bring to life the shared physician/patient decision-making that is key to successful personalized treatment. The reader comes away knowing what a seasoned clinician would do under the complex situations that often appear in practice but are not always discussed in treatment guidelines. This is a must-read for new or experienced clinicians who seek to improve their practices by collaborating with and meeting the needs of their individual patients.' David J. Miklowitz,, Ph.D., Distinguished Professor of Psychiatry and Behavior Sciences, UCLA School of Medicine, Los Angeles
Tartalomjegyzék:
Preface; Foreword; 1. Making Sense of the Senseless: How to Gather and Organize Pertinent Information; 2. The Approach to Diagnostic Ambiguity; 3. What The Patient Isn't Telling You: When Seeing is Not Believing; 4. Shared Decision Making; 5. Deciding On Appropriate Treatment Modalities: Medication, Psychotherapy, Hospitalization and Other Levels of Care; 6. Measurement Based Care and Applying Statistical Concepts to the Individual Patient; 7. Hypothesis Testing and Crafting Patient-Specific Decision Trees; 8. Decision Points in Iterative Pharmacotherapy; 9. Hierarchical and Complex Pharmacotherapy Decision-Making; 10. Prioritizing the Components of Any Decision-Making Model.
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