Effects of involuntary outpatient commitment on subjective quality of life in persons with severe mental illness

2003 ◽  
Vol 21 (4) ◽  
pp. 473-491 ◽  
Author(s):  
Jeffrey W. Swanson ◽  
Marvin S. Swartz ◽  
Eric B. Elbogen ◽  
H. Ryan Wagner ◽  
Barbara J. Burns
Keyword(s):  
Quality Of Life ◽  
Mental Illness ◽  
Severe Mental Illness ◽  
Subjective Quality ◽  
Subjective Quality Of Life ◽  
Outpatient Commitment

Predictors of quality of life in people with severe mental illness

1999 ◽  
Vol 175 (5) ◽  
pp. 426-432 ◽  
Author(s):  
Thomas Fahy ◽  
Andy Kent ◽  
Theresa Tattan ◽  
Elizabeth Van Horn ◽  
Ian White
Keyword(s):  
Quality Of Life ◽  
Mental Illness ◽  
Case Management ◽  
Severe Mental Illness ◽  
Unmet Needs ◽  
Subjective Quality ◽  
Improve Quality ◽  
Subjective Quality Of Life ◽  
Clinical Variables

BackgroundIt is not clear which model of case management is most likely to improve quality of life in people with severe mental illness.AimsTo use baseline data derived from the UK700 Case Management Trial to assess the relative importance of clinical, social and unmet needs variables as predictors of subjective quality of life in patients with severe mental illness.MethodPatients (n=708) were assessed on quality of life (Lancashire Quality of Life Profile), needs (Camber well Assessment of Need), psychopathology and social functioning. Variables that were amenable to change through case management were investigated as predictors of quality of life.ResultsSocial variables accounted for 7% of the variance for subjective quality of life, compared with 19% for clinical variables, and 20% for unmet needs. The strongest predictors of subjective quality of life were unmet basic, social and functioning needs, depression and positive psychotic symptoms.ConclusionsSubjective quality of life in severely mentally ill patients is predicted by clinical variables and unmet needs. The results identify priority areas for the attention of case managers who seek to improve quality of life in these patients.

scholarly journals Simple Mobile technology health management tool for people with severe mental illness: a randomised controlled feasibility trial

2021 ◽  
Author(s):  
Frank Röhricht ◽  
Raguraman Padmanabhan ◽  
Paul Binfield ◽  
Deepa Mavji ◽  
Sally Barlow
Keyword(s):  
Quality Of Life ◽  
Mental Illness ◽  
Severe Mental Illness ◽  
Mobile Technology ◽  
Health Management ◽  
Management Tool ◽  
Service Users ◽  
Subjective Quality Of Life ◽  
Randomised Controlled

Abstract Background: Severe mental illness (SMI) is associated with care delivery problems due to the patient’s psychosocial impairment and corresponding functional disability. Current routine appointment systems do not adequately foster recovery care and are not systematically capturing information suggestive of urgent care needs. This study aimed to assess the feasibility, acceptability, and potential clinical benefits of a mobile technology health management tool to enhance community care in people with severe mental illness. Methods: This randomised-controlled feasibility pilot study utilised mixed quantitative (measure on subjective quality of life as primary outcome; questionnaires on self-management skills, medication adherence scale as secondary outcomes) and qualitative (thematic analysis) methodologies. The intervention was a simple interactive technology (Short Message Service (SMS) communication system called ‘Florence’, and had three components: medication and appointment reminders, daily individually defined wellbeing scores and optionally coded request for additional support. Eligible participants (diagnosed with schizophrenia, schizoaffective disorder or bipolar disorder ≥ 1 year) were randomised (1:1) to either treatment as usual (TAU) or TAU and the technology-assisted intervention. Results: The health technology tool appeared to offer a practicable and acceptable intervention for patients with SMI in managing their condition. Recruitment and retention data indicated feasibility, the qualitative analysis identified suggestions for further improvement of the intervention. Preliminary results suggest that service users engaged well and benefited from SMS reminders and from monitoring their individual wellbeing scores. The care coordinators did not utilise the intervention per protocol due to a variety of organisational barriers. Quantitative analysis of outcomes (including a patient-reported outcome measure (PROM) on subjective quality of life, self-efficacy/competence and medication adherence) did not reveal significant differences between groups over time, given high baseline scores. The wellbeing scores, however, were positively correlated with all outcome measures. Conclusion: It is feasible to conduct an adequately powered full trial to evaluate this intervention. Inclusion criteria should be revised to include service users with a higher level of need and clinicians should receive more in-depth assistance in managing the tools effectively. The preliminary data suggests that this intervention can aid recovery care and individually defined wellbeing scores are highly predictive of a range of recovery outcomes; they could, therefore, guide the allocation of routine care resources. Trial registration ISRCTN 34124141; retrospectively registered, date of registration 05/11/2019.

scholarly journals Simple Mobile technology health management tool for people with severe mental illness: a randomised controlled feasibility trial

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Frank Röhricht ◽  
Raguraman Padmanabhan ◽  
Paul Binfield ◽  
Deepa Mavji ◽  
Sally Barlow
Keyword(s):  
Quality Of Life ◽  
Mental Illness ◽  
Medication Adherence ◽  
Severe Mental Illness ◽  
Mobile Technology ◽  
Health Management ◽  
Management Tool ◽  
Subjective Quality Of Life ◽  
Randomised Controlled

Abstract Background Severe mental illness (SMI) is associated with care delivery problems because of the high levels of clinical resources needed to address patient’s psychosocial impairment and to support inclusion in society. Current routine appointment systems do not adequately foster recovery care and are not systematically capturing information suggestive of urgent care needs. This study aimed to assess the feasibility, acceptability, and potential clinical benefits of a mobile technology health management tool to enhance community care for people with severe mental illness. Methods This randomised-controlled feasibility pilot study utilised mixed quantitative (measure on subjective quality of life as primary outcome; questionnaires on self-management skills, medication adherence scale as secondary outcomes) and qualitative (thematic analysis) methodologies. The intervention was a simple interactive technology (Short Message Service - SMS) communication system called ‘Florence’, and had three components: medication and appointment reminders, daily individually defined wellbeing scores and optionally coded request for additional support. Eligible participants (diagnosed with schizophrenia, schizoaffective disorder or bipolar disorder ≥1 year) were randomised (1:1) to either treatment as usual (TAU, N = 29) or TAU and the technology-assisted intervention (N = 36). Results Preliminary results suggest that the health technology tool appeared to offer a practicable and acceptable intervention for patients with SMI in managing their condition. Recruitment and retention data indicated feasibility, the qualitative analysis identified suggestions for further improvement of the intervention. Patients engaged well and benefited from SMS reminders and from monitoring their individual wellbeing scores; recommendations were made to further personalise the intervention. The care coordinators did not utilise aspects of the intervention per protocol due to a variety of organisational barriers. Quantitative analysis of outcomes (including a patient-reported outcome measure on subjective quality of life, self-efficacy/competence and medication adherence measures) did not identify significant changes between groups over time in favour of the Florence intervention, given high baseline scores. The wellbeing scores, however, were positively correlated with all outcome measures. Conclusion It is feasible to conduct an adequately powered full trial to evaluate this intervention. Inclusion criteria should be revised to include patients with a higher level of need and clinicians should receive more in-depth assistance in managing the tools effectively. The preliminary data suggests that this intervention can aid recovery care and individually defined wellbeing scores are highly predictive of a range of recovery outcomes; they could, therefore, guide the allocation of routine care resources. Trial registration ISRCTN34124141; retrospectively registered, date of registration 05/11/2019.

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