| Title |
Decisional conflict in mental health care: a cross-sectional study
|
|---|---|
| Published in |
Social Psychiatry and Psychiatric Epidemiology, December 2017
|
| DOI | 10.1007/s00127-017-1467-9 |
| Pubmed ID | |
| Authors |
Margot J. Metz, Marjolein A. Veerbeek, Christina M. van der Feltz-Cornelis, Edwin de Beurs, Aartjan T. F. Beekman |
| Abstract |
Decisional conflict refers to the degree to which patients are engaged in and feel comfortable about important clinical decisions. Until now, the concept has received little attention in mental health care. We investigate the level of decisional conflict in mental health care and whether this is influenced by socio-demographics, treatment setting, diagnoses, and locus of control. Cross-sectional study among 186 patients in Dutch specialist mental health care using the Decisional Conflict Scale, which measures five dimensions of decisional conflict: information, support, clarification of values, certainty, and decisional quality. Descriptive statistics and forward stepwise linear regression analyses were used. Patients report relatively high levels of decisional conflict, especially those with more external locus of control. Having a personality disorder and higher education also increases decisional conflict on the dimensions support and clarification of values, respectively. Less decisional conflict was experienced by patients with psychotic disorders on the dimension certainty and by women on the information domain. Decisional conflict is common among patients in specialist mental health care and is very useful for assessing the quality of clinical decision making. Measuring decisional conflict and knowledge about influencing factors can be used to improve patients' participation in clinical decision making, adherence to treatment and clinical outcomes. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 14% |
| Student > Ph. D. Student | 7 | 14% |
| Student > Master | 4 | 8% |
| Professor | 3 | 6% |
| Researcher | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 22 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 10 | 20% |
| Medicine and Dentistry | 6 | 12% |
| Nursing and Health Professions | 4 | 8% |
| Agricultural and Biological Sciences | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 24 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 December 2017.
All research outputs
#15,492,086
of 23,794,258 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#1,978
of 2,534 outputs
Outputs of similar age
#257,712
of 443,898 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#26
of 32 outputs
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