Promoting the value and practice of shared decision-making in mental health care.

Psychiatr Rehabil J

Center for Mental Health Services, Substance Abuse and Mental Health Services Administration, U.S. Department of Health and Human Services, Rockville, MD 20857, USA.

Published: October 2007

Active consumer participation is critical in contemporary mental health care and treatment planning and has been a staple of the field of psychiatric rehabilitation for the last three decades. Providing the opportunity for consumers to chose interventions that fit personal preferences and recovery increase the likelihood that these interventions will enhance personal meaning, satisfaction and quality of life (Improving the Quality of Health Care for Mental and Substance Use Conditions, 2006). Similarly, self-determination and shared decision-making are critical components of recovery. As stated in the President's New Freedom Commission on Mental Health Final Report, recovery from mental illnesses should be the expectation in mental health care with services and treatments that are consumer and family-driven. Mental health care should be planned and delivered to ensure that consumers and families with children with mental health problems receive real and meaningful choices about treatment options and providers. The purpose of this paper is to explore the value and use of shared decision-making in health and mental health care, briefly examine the advantages and disadvantages of shared decision making and propose next steps in advancing use of shared decision-making in mental health care.

Download full-text PDF

Source
http://dx.doi.org/10.2975/31.1.2007.54.61DOI Listing

Publication Analysis

Top Keywords

mental health
32
health care
28
shared decision-making
16
mental
10
health
10
decision-making mental
8
care
7
shared
5
promoting practice
4
practice shared
4

Similar Publications

External delay and dispersion correction of automatically sampled arterial blood with dual flow rates.

Biomed Phys Eng Express

January 2025

Brain Health Imaging Centre, Centre for Addiction and Mental Health, B68-250 College St, Toronto, Ontario, M5T 1R8, CANADA.

Objective: Arterial sampling for PET imaging often involves continuously measuring the radiotracer activity concentration in blood using an automatic blood sampling system (ABSS). We proposed and validated an external delay and dispersion correction procedure needed when a change in flow rate occurs during data acquisition. We also measured the external dispersion constant of [11C]CURB, [18F]FDG, [18F]FEPPA, and [18F]SynVesT-1.

View Article and Find Full Text PDF

Mapping the regional and remote specialised mental health workforce: Commentary on the AIHW data for 2022-2023.

Australas Psychiatry

January 2025

Consortium of Australian-Academic Psychiatrists for Independent Policy and Research Analysis (CAPIPRA), Canberra, ACT, Australia.

Objective: The Australian Institute of Health and Welfare publishes statistical indicator reports on the specialised mental health workforce. These include data for 2022-2023 on psychiatrists, mental health nurses, mental health occupational therapists, psychologists and mental health social workers. We provide a brief commentary on these reports, reflecting upon the implications of such changes for psychiatric practice and patient care.

View Article and Find Full Text PDF

Background: Results on parental burden during the COVID-19 pandemic are predominantly available from nonrepresentative samples. Although sample selection can significantly influence results, the effects of sampling strategies have been largely underexplored.

Objective: This study aimed to investigate how sampling strategy may impact study results.

View Article and Find Full Text PDF

Background: There is potential for digital mental health interventions to provide affordable, efficient, and scalable support to individuals. Digital interventions, including cognitive behavioral therapy, stress management, and mindfulness programs, have shown promise when applied in workplace settings.

Objective: The aim of this study is to conduct an umbrella review of systematic reviews in order to critically evaluate, synthesize, and summarize evidence of various digital mental health interventions available within a workplace setting.

View Article and Find Full Text PDF

Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!