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1.
Asia Pac Psychiatry ; 15(4): e12550, 2023 Dec.
Article in English | MEDLINE | ID: mdl-37932015

ABSTRACT

BACKGROUND: Major depressive disorder (MDD) can have severe impacts on function and quality of life. Up to one third of patients will have an inadequate response to their first line of treatment, with subsequent lines of therapy associated with lower remission rates and higher relapse rates. Recently esketamine has become available for Australian patients, and this agent provides an additional treatment option for those with MDD who have had an inadequate response to two or more antidepressant therapies during the current moderate to severe depressive episode. This paper provides an expert panel's practical recommendations and clinical guidance for establishing esketamine clinics in Australia. METHODS: An expert panel (n = 11) comprising psychiatrists, mental health care nurses, pharmacists, and individuals with experience establishing esketamine clinics was convened in Sydney. The panel developed practical recommendations and clinical guidance, which were then further refined. RESULTS: Five key areas were identified: practical considerations for esketamine clinic set-up, including multidisciplinary care considerations; patient selection; administering esketamine; adverse event management and long-term follow-up. CONCLUSIONS: Guidance presented in this paper should assist Australian clinicians to set up an esketamine clinic, and provide practical advice on the infrastructure and clinical requirements for treatment of patients with this agent.


Subject(s)
Depressive Disorder, Major , Depressive Disorder, Treatment-Resistant , Humans , Antidepressive Agents/therapeutic use , Antidepressive Agents/adverse effects , Depressive Disorder, Major/drug therapy , Quality of Life , Depressive Disorder, Treatment-Resistant/drug therapy , Australia
2.
BMC Psychiatry ; 18(1): 316, 2018 09 27.
Article in English | MEDLINE | ID: mdl-30261845

ABSTRACT

BACKGROUND: Evaluation of telepsychiatry (via videoconference) for older adults is mostly focussed on nursing homes or inpatients. We evaluated the role of a community based program for older adults in rural and remote regions of South Australia. METHOD: The utilization pattern was studied using retrospective chart review of telepsychiatry assessments over 24 months (2010-2011). Satisfaction was evaluated through prospective post-consultation feedback (using a 5-point Likert scale), from patients, community based clinicians and psychiatrist participating in consecutive assessments from April-November 2012. Descriptive analysis was used for the utilization. Mean scores and proportions were calculated for the feedback. Mann Whitney U test was used to compare patient subgroups based on age, gender, prior exposure to telepsychiatry services and inpatient/ outpatient status. Feedback comments were analysed for emerging themes. RESULTS: On retrospective review of 134 consults, mean age was 75.89 years (SD 7.55), 60.4% (81) were females, and 71.6% (96) lived independently. Patients had a broad range of psychiatric disorders, from mood disorders to delirium and dementia, with co-morbid medical illness in 83.5% (112). On feedback evaluation (N = 98), mean scores ranged from 3.88-4.41 for patients, 4.36-4.73 for clinicians and 3.67-4.45 for psychiatrists. Feedback from inpatients (14 out of 37) was significantly lower compared to outpatients (37 out of 61) (chi sq. = 0.808, p < 0.05), and they were significantly less satisfied with the wait time (U = 163.0, p < 0.05) and visual clarity (U = 160.5, p < 0.05). Audio clarity was the most common aspect of dissatisfaction (mean score less than 3) among patients (6, 11%). Psychiatrists reported a preference for telepsychiatry over face to face in 55.4% (46) assessments. However, they expressed discomfort in situations of cognitive or sensory disabilities in patients. CONCLUSIONS: In rural and remote areas, community-based telepsychiatry program can be a useful adjunct for psychiatrist input in the care of older adults. Innovations to overcome sensory deficits and collaboration with community services should be explored to improve its acceptance among the most vulnerable population.


Subject(s)
Community Mental Health Services/statistics & numerical data , Patient Acceptance of Health Care/statistics & numerical data , Patient Satisfaction/statistics & numerical data , Rural Population/statistics & numerical data , Telemedicine/methods , Aged , Aged, 80 and over , Community Mental Health Services/methods , Cross-Sectional Studies , Dementia/psychology , Dementia/therapy , Depressive Disorder, Major/psychology , Depressive Disorder, Major/therapy , Female , Health Personnel/psychology , Health Personnel/statistics & numerical data , Humans , Inpatients/psychology , Male , Mood Disorders/psychology , Mood Disorders/therapy , Outpatients/psychology , Outpatients/statistics & numerical data , Patient Acceptance of Health Care/psychology , Prospective Studies , Referral and Consultation , Retrospective Studies , South Australia , Statistics, Nonparametric , Surveys and Questionnaires
4.
Int Psychogeriatr ; 16(3): 295-315, 2004 Sep.
Article in English | MEDLINE | ID: mdl-15559754

ABSTRACT

BACKGROUND: Several reports have indicated that the Behavioral and Psychological Symptoms of Dementia (BPSD) are associated with increased burden of care, carer depression and increased rates of institutionalization of patients. The present study aims to review the association between these variables in cross-sectional as well as longitudinal studies. METHODS: Systematic review and meta-analysis of all available information published in English between January 1990 and December 2001 was made. Case-reports, case-series and studies with 20 or fewer subjects were excluded from the analyses. RESULTS: Thirty articles are included in the review of cross-sectional data and 12 in the systematic review of longitudinal data. Pooled correlation coefficients were generated for the relationship between BPSD and caregiver burden (r(pooled) = 0.57; 95% CI = 0.52 to 0.62), caregiver psychological distress (r(pooled) = 0.41; 95% CI = 0.32 to 0.49) and caregiver depression (r(pooled) = 0.30; 95% CI= 0.21 to 0.39), suggesting that these concepts have a moderately strong association. Multivariate data, on the whole, further supported the notion that BPSD are a predictor of burden of care and of psychological distress and depression. Limited longitudinal data made clarifying the temporal relationahip between BPSD and the psychological sequelae of care (PSC) difficult. The limited data pertaining to the relationship between BPSD and institutionalization suggest that caregiver variables may be more important in predicting institutionalization than BPSD. Methodological issues and limitations associated with this type of investigation were also considered. CONCLUSION: The results of this review support, but do not conclusively establish, the association between BPSD and PSC. We propose that the concept of burden of care be abandoned in favor of more clinically relevant outcomes such as caregiver depression.


Subject(s)
Dementia/epidemiology , Mental Disorders/epidemiology , Aged , Cross-Sectional Studies , Humans , Longitudinal Studies , Middle Aged
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