Hospital-Based Case Management for Suicide High-Risk Group Using Delphi Survey.

OBJECTIVE: As of 2019, suicide is serious problem in Korea, with the highest suicide rate among OECD countries. To reduce suicide rates Emergency Department Based Post-Suicide Attempt Case Management carried out with government funding in South Korea, but it is insufficient to address the issue. Aim of this study is to prevent suicide attempts through continuous provision of mental health services even after discharge from acute care. METHODS: We selected 15 mental health specialists who are multidisciplinary experts in Suicide Prevention. Two-round Delphi survey was conducted on them to reach an agreement for hospital-based case management. RESULTS: The first Delphi survey consisted of 8 areas and 39 questions. Among them, 30 questions draw agreement above the reference value. The second Delphi survey, consisted of 37 questions, resulted in 32 above-standard questions. CONCLUSION: Consensus was reached in most category of the Hospital Based Case Management for Suicide High-Risk Group. Core of the developed plan was to provide services to patients who visited the hospital, pursue the stability and universalization of services through a medical insurance fee system. In the future, hospital-based case management service will be implemented as a new model contributing to the reduction of suicide rates in Korea.

The Relationship between Type D Personality and Heart Rate Variability in Community Mental Health Center Users.

OBJECTIVE: Type D personality can be regarded as a promising cardiovascular risk marker that has been repeatedly linked to relevant indicators of mental health, quality of life, morbidity, and mortality in cardiac patients. Heart rate variability (HRV) is a non-invasive technology that can provide information regarding a patient's sympathetic/parasympathetic balance and the control mechanisms of the autonomic systems in the cardiovascular system. As both type D personality and HRV are parameters related to the cardiovascular system, we assumed a relationship between type D personality and HRV. This study set out to identify the relationship between type D and HRV and the differences in HRV variables between type D and non-type D personalities. METHODS: Patients who visited Guro Community Mental Health Center from January 2011 to December 2012 were surveyed. They were evaluated using both the Korean version of the Type D Personality-14 for type D personality and HRV. During the survey, those who reported major cardiovascular disease that can affect heart rate variability were excluded from the study. RESULTS: Our analysis included 559 participants, 249 of whom were classified as type D personality. No significant differences were found in the HRV variables between the type D group and the non-type D group. There were also no clinically meaningful correlations between HRV variables and type D total/subscale scores when controlled for patient age. CONCLUSION: A relationship between HRV and type D personality was not identified using short-term HRV measurements in non-clinical patients with no definitive cardiovascular disease. Further studies using long-term HRV measurements in patients with cardiovascular disease are necessary to conclude an association between HRV and type D personality.

The association of psychosocial factors and obstetric history with depression in pregnant women: focus on the role of emotional support.

OBJECTIVE: Depression during pregnancy can negatively affect both maternal and fetal health. The benefits of early detection and treatment for antenatal depression have been emphasized. Therefore, we investigated risk factors for antenatal depression with a focus on emotional support. METHODS: We conducted a cross-sectional study of pregnant women (n=1262) enrolled from the local division of a community mental health center. All subjects completed self-report questionnaires that assessed depressive mood, emotional support and other risk factors. Associations between antenatal depression and potential risk factors including emotional support were analyzed by logistic regression analysis. RESULTS: Antenatal depression was associated with various biopsychosocial correlates: unmarried state, low education, cigarette smoking, low income, familial history of depression, past history of depression, physical abuse history, sexual abuse history, premenstrual syndrome, primiparity and unplanned pregnancy. When the associations of emotional support with antenatal depression were specified by its resources, current emotional support from partner [odds ratio (OR)=2.26, 95% confidence interval (CI)=1.94-2.64] and mother (OR=1.43, 95% CI=1.26-1.62) and past experience for emotional support from mother (OR=1.52, 95% CI=1.32-1.74), but not from father significantly influenced depression during pregnancy. CONCLUSIONS: The multidimensional biopsychosocial approach would be needed to identify and assess antenatal depression. Promoting emotional support from the partner, family member and, possibly, the health provider could be a protective effect against the development of antenatal depression.