PDF Maximising the Benefits of Psychotherapy: A Practice-based Evidence Approach

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Susan M. Alan Carr. Heidi Kaduson. David Geldard. Hilary Jacobs Hendel. Ryan M.

Babette Rothschild. Nick Midgley. Brian Thorne. Steve Page. Charles Krebs. Gillian Butler. Jean Liedloff. Mary Morgan. Jackson Mackenzie. Tara Brach. Stephen A. William Stixrud. John M. Bestselling Series. Harry Potter. Popular Features. New Releases. Categories: Psychology Clinical Psychology Psychotherapy. Free delivery worldwide. Expected to be delivered to Germany by Christmas. Description Maximising the Benefits of Psychotherapy critiques Evidence-Based Practice and describes other approaches to improving the effectiveness of therapy, such as Practice-Based Evidence and the use of client feedback.

The authors include a summary of key research findings and an accessible guide to applying these ideas to therapeutic practice. Bestsellers in Psychotherapy. Add to basket. Becoming Supernatural Joe Dispenza. Trauma and Recovery Judith Herman. Sandtray Therapy Linda E. Mating in Captivity Esther Perel. Sensorimotor Psychotherapy Pat Ogden. Clinical Psychologist, 13, 1—9. Interviewing for Solutions 4th Ed. Collecting client feedback. In Norcross, J. Duncan, S.


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Hubble Eds. Psychotherapy list. Psychoanalysis Adlerian therapy Analytical therapy Mentalization-based treatment Transference focused psychotherapy. Clinical behavior analysis Acceptance and commitment therapy Behavioral activation Functional analytic psychotherapy Integrative behavioral couples therapy Cognitive behavioral therapy Cognitive therapy Dialectical behavior therapy Mindfulness-based cognitive therapy Rational emotive behavior therapy.

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Emotionally focused therapy Existential therapy Focusing Gestalt therapy Logotherapy Person-centered therapy. Eclectic psychotherapy Integrative psychotherapy Multimodal therapy Transtheoretical model. The e-mail addresses that you supply to use this service will not be used for any other purpose without your consent. Create a link to share a read only version of this article with your colleagues and friends.

Please read and accept the terms and conditions and check the box to generate a sharing link. Aims: Social practitioners require evidence-based knowledge as a guide to the development of social policies and practices. This article aims to identify: 1 knowledge domains needed for the development and use of evidence-based knowledge in social practice; 2 promising research methods for such knowledge development; 3 a framework for linking evidence-based practice, systematic reviews, and practice guidelines, as well as standards for systematic reviews and guidelines; 4 issues influencing use of evidence-based knowledge in social practice.

Evidence-based knowledge in the context of social practice - Edward J Mullen,

Methods : This analysis is based on examination of conceptualisations of social practice in a transdisciplinary, evidence-based practice context. Also examined are recent national level reports pertaining to comparative effectiveness research. Results : This review identifies key knowledge domains pertinent to a transdisciplinary systems conceptualisation of evidence-based practice and promising comparative effectiveness research methods pertaining to those domains.

An integrative conceptualisation of evidence-based practice is proposed including linkages to systematic reviews and practice guidelines.


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Conclusions : The development of evidence-based knowledge for social practice can benefit from the use of comparative effectiveness research strategies using a range of research methods tailored to specific questions and resource requirements, and which examine effectiveness and cost-effectiveness. An integrating conceptualisation of evidence-based practice that includes a linked process including planned and targeted systematic reviews and guideline development for decision making is needed to facilitate knowledge development and use.

Partners for Change Outcome Management System

Evidence-based research regarding social intervention outcomes can benefit by using conceptual models that view intervention effects as contingent on sets of interacting domains including environmental, organisational, intervener, client-system, technology, and technique variables. Social practitioners require, and are increasingly seeking, evidence-based knowledge as a guide to development of social policies and practices. This increased attention has been fuelled by a remarkable growth in evidence-based knowledge as well as ease of access made possible by the development of internet-based clearinghouses and other information sources [ 1 ].

In this article I examine various aspects of evidence-based knowledge in the context of social practice. I include in social practice social work and social welfare interventions, and when I refer to social work practice I mean to include social policy practice as well as direct practice with individuals, families, groups, communities, and organisations. Social work encompasses all of these levels and types of interventions.

Introduction

I will comment on four interrelated aspects of evidence-based knowledge development and use. First, I propose a way of conceptualising knowledge domains required for a holistic and realistic view of social work practice. Second, building on this conceptualisation of evidence-based knowledge domains, I comment on research methods needed for the development of evidence-based knowledge. Third, I propose a framework for linking evidence-based practice EBP , systematic reviews, and practice guidelines, as well as comment on emerging standards for systematic reviews and guidelines.

Lastly, I comment on issues which I think influence adoption and implementation of evidence-based knowledge in social work practice.

Complementarity: Practice-Based Evidence and Evidence-Based Practice

I conceptualise social work intervention as a complex system, typically embodied as organisation-based programmes, often with services provided by a team of staff rather than a single social worker, as shown in Figure 1 [ 2 ]. This conceptualisation could also be represented using a Venn diagram visualising total variance in outcomes explained by each of these sets of domains as shown in Figure 2. How big should each oval be?

How much overlap should there be and among which domains? Empirical research is needed to answer these questions.