Shared Medical Decision Making

McNutt, Robert A.

doi:10.1001/jama.292.20.2516

Cited by 160 publications

(35 citation statements)

References 18 publications

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“…In many instances, patients have lost structure and this module offers them a structured way to reach a treatment agreement. SDM does not only pertain to sharing choices, but also involves sharing information [31]. Therefore, only making use of a decision sheet or a videodisc may not be enough to engage this process.…”

Section: Discussionmentioning

confidence: 99%

Shared Decision-Making Reduces Drug Use and Psychiatric Severity in Substance-Dependent Patients

Joosten¹,

Jong²,

Oene

et al. 2009

Psychother Psychosom

106

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Background: In the last decades, shared decision-making (SDM) models have been developed to increase patient involvement in treatment decisions. The purpose of this study was to evaluate a SDM intervention (SDMI) for patients dependent on psychoactive substances in addiction health care programs. The intervention consisted of a structured procedure to reach a treatment agreement and comprised 5 sessions. Methods: Clinicians in 3 treatment centres in the Netherlands were randomly assigned to the SDMI or a standard procedure to reach a treatment agreement. Results: A total of 220 substance-dependent patients receiving inpatient treatment were randomised either to the intervention (n = 111) or control (n = 109) conditions. Reductions in primary substance use (F_{(1, 124)} = 248.38, p < 0.01) and addiction severity (F₍₈₎ = 27.76, p < 0.01) were found in the total population. Significant change was found in the total population regarding patients’ quality of life measured at baseline, exit and follow-up (F_{(2, 146)} = 5.66, p < 0.01). On the European Addiction Severity Index, SDMI showed significantly better improvements than standard decision-making regarding drug use (F_{(1, 164)} = 7.40, p < 0.01) and psychiatric problems (F_{(1, 164)} = 5.91, p = 0.02) at 3-month follow-up. Conclusion: SDMI showed a significant add-on effect on top of a well-established 3-month inpatient intervention. SDMI offers an effective, structured, frequent and well-balanced intervention to carry out and evaluate a treatment agreement.

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Section: Discussionmentioning

confidence: 99%

Shared Decision-Making Reduces Drug Use and Psychiatric Severity in Substance-Dependent Patients

Joosten¹,

Jong²,

Oene

et al. 2009

Psychother Psychosom

106

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“…36 The discussion of the study by Krist et al 37 advances our understanding of the appropriate outcomes for use of patient decision aids. 38,39 The study of standardized patients 40 raises important questions 41 and experiential validation and interpretation of this method [42][43][44] of growing importance for health care research.…”

Section: Other Threads Of Discussionmentioning

confidence: 99%

On TRACK: Primary Care Opportunities for Filling Unmet Need

Stange¹

2007

The Annals of Family Medicine

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“…Data provided to patients should be meaningful for them [ 30 ]. If patients have the responsibility to effi ciently manage their own data, the database should contain comprehensible information and should be structured in such a way to give a patient a clear idea of every action, research and insertion.…”

Section: Quality Of Data and Personal Engagementmentioning

confidence: 99%

“…Correspondingly, artifi cial intelligence has developed models of artifi cial life, of which, for example, artifi cial neural networks are an expression, which overcomes the limitations of the only computational approach. In fact, artifi cial life simulations are not confi ned to the nervous system of living organisms, but also include the body, the physical and social environment, presenting scenarios that evolve both biologically and culturally [ 30 ].…”

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confidence: 99%

Cognitive Science in Telemedicine: From Psychology to Artificial Intelligence

2015

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Telecommunication and Information Technologies progress allowed the improvement of telemedicine [ 11 ], overcoming past diffi culties due to poor real-time media [ 34 ]. In fact, while in the past early examples of telemedicine were delivered by telephone, radio and fax, today it is possible to exchange either medical, imaging and biodata with high fi delity through distributed client/server applications and high band communication [ 32 ].The remote monitoring of patients on the one hand can reduce the need for in-presence visits and, in general, the cost of medical care, on the other hand it may also improve the effi ciency of performance, prompting the staff to an effi cient organisation of their work. However, the sensitivity of the data, the costs of telecommunications, data management and staff training suggests the need to develop effi cient solutions, easy-to-use and with high level of security [ 7 ]. The interfaces themselves should have a cognitive-driven designed, in order not to involve loss of effi ciency in the use, both by patients and operators [ 36 ]. Among the disciplines of cognitive science, for example, the study of human-machine interfaces (HCI) fi ts into this framework. This discipline involves not only the

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Shared Medical Decision Making

Cited by 160 publications

References 18 publications

Shared Decision-Making Reduces Drug Use and Psychiatric Severity in Substance-Dependent Patients

Shared Decision-Making Reduces Drug Use and Psychiatric Severity in Substance-Dependent Patients

On TRACK: Primary Care Opportunities for Filling Unmet Need

Cognitive Science in Telemedicine: From Psychology to Artificial Intelligence

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