Abstract
Background:
Monitoring and coaching technologies show much promise for the complex domain of forensic psychiatry, specifically for reactive intimate partner violence (rIPV). An important reason for this is that therapists are not present when violent outbursts occur, while technology is available 24/7. To predict violent outbursts and provide just-in-time feedback, multiple types of data should be used to provide reliable and valid information (e.g. conflict between partners, physiological arousal, or geographical location). In order to create a scientifically sound intervention, the choice for variables that will be monitored should be based on research. Consequently, in this development process of a monitoring and coaching technology, an important step is to determine which evidence-based determinants of rIPV can be monitored and provide valuable data for coaching purposes.
Methods:
This study aims to identify factors related to rIPV in three steps. First, mental models of expert-therapists are created via semi-structured interviews. Second, the resulting collection of variables will be validated and expanded by expert-scientists. Third, a literature study on all identified factors is conducted, after which a final collection of factors that contribute to rIPV is created. This serves as an evidence-based guideline to determine which variables should be monitored and coached in an eHealth intervention for perpetrators of rIPV and their partners.
Findings:
Preliminary findings of the mental models of experts will be presented in this poster. The used method and rationale behind it will be discussed.
Discussion:
Based on the results, suggestions for ways of monitoring important factors via technology are provided. Also, recommendations are made for further steps in the development process of eHealth interventions targeting rIPV, e.g. using methods and principles from multiple approaches such as participatory development and persuasive technology.
Monitoring and coaching technologies show much promise for the complex domain of forensic psychiatry, specifically for reactive intimate partner violence (rIPV). An important reason for this is that therapists are not present when violent outbursts occur, while technology is available 24/7. To predict violent outbursts and provide just-in-time feedback, multiple types of data should be used to provide reliable and valid information (e.g. conflict between partners, physiological arousal, or geographical location). In order to create a scientifically sound intervention, the choice for variables that will be monitored should be based on research. Consequently, in this development process of a monitoring and coaching technology, an important step is to determine which evidence-based determinants of rIPV can be monitored and provide valuable data for coaching purposes.
Methods:
This study aims to identify factors related to rIPV in three steps. First, mental models of expert-therapists are created via semi-structured interviews. Second, the resulting collection of variables will be validated and expanded by expert-scientists. Third, a literature study on all identified factors is conducted, after which a final collection of factors that contribute to rIPV is created. This serves as an evidence-based guideline to determine which variables should be monitored and coached in an eHealth intervention for perpetrators of rIPV and their partners.
Findings:
Preliminary findings of the mental models of experts will be presented in this poster. The used method and rationale behind it will be discussed.
Discussion:
Based on the results, suggestions for ways of monitoring important factors via technology are provided. Also, recommendations are made for further steps in the development process of eHealth interventions targeting rIPV, e.g. using methods and principles from multiple approaches such as participatory development and persuasive technology.
| Original language | English |
|---|---|
| Publication status | Published - 2018 |
| Event | 8th Conference Supporting Health By Technology 2018 - University of Twente, Enschede, Netherlands Duration: 1 Jun 2018 → 1 Jun 2018 Conference number: 8 http://healthbytech.com/ |
Conference
| Conference | 8th Conference Supporting Health By Technology 2018 |
|---|---|
| Abbreviated title | HealthbyTech 2018 |
| Country/Territory | Netherlands |
| City | Enschede |
| Period | 1/06/18 → 1/06/18 |
| Internet address |
