Establishing the measurement properties of the Residential Environment Impact Scale (Version 4.0).

BACKGROUND: Developed as an environment assessment informed by the Model of Human Occupation, the Residential Environment Impact Survey considered the physical, social and activity features of the environment, evaluating the impact of the environment on resident's quality of life. Clinicians reported that the Residential Environment Impact Survey was a useful tool; however, it had not been structured to be a measurement tool and did not have established psychometric properties. AIMS/OBJECTIVES: This study examines the psychometric properties of the restructured Residential Environment Impact Scale Version 4.0 (REIS), which measures the level of environment support provided to residents. MATERIAL AND METHODS: The REIS was completed across residential sites for people with complex mental health needs. A many facets Rasch analysis was conducted to establish the reliability and validity of the REIS. RESULTS: The REIS demonstrated reasonable psychometric properties, with items demonstrating internal scale validity and scale items following an expected pattern of increasingly challenging environment support. CONCLUSIONS AND SIGNIFICANCE: Initial evidence suggests that the REIS provides a valid and reliable measure of environment support, providing a detailed assessment of how physical, social and activity elements of the environment support or inhibit participation and can be applied across a range of living environments.

A Systematic Review and Correlational Meta-Analysis of Factors Associated With Resilience of Normally Aging, Community-Living Older Adults.

BACKGROUND AND OBJECTIVES: Global policy emphasizes the need to promote healthy aging through supporting inclusivity, safety, and functional independence. Research indicates that efforts to enhance resilience can contribute to meeting these objectives. We employed a meta-analytical approach to examine evidence on resilience in community-living older adults. RESEARCH DESIGN AND METHODS: We searched electronic databases until January 13, 2020 for observational studies investigating factors associated with resilience in this population. Articles had to provide quantitative data based on standardized assessment and include samples where mean participants' age and lower 95% confidence interval were more than 55 years. We included 49 studies reported in 43 articles and completed 38 independent meta-analyses, 27 for personal and 11 for contextual factors associated with resilience. RESULTS: A range of personal and contextual factors were significantly associated with resilience, with effects sizes predominantly small to moderate (0.1 < r < 0.49). Factors reflecting psychological and physical well-being and access to/quality of social support were associated with higher resilience. Factors indicative of poorer psychological well-being and social challenges were associated with lower resilience. Longitudinal evidence was limited. The level of between-study heterogeneity was substantial to considerable. Where relevant analysis was possible, the identified publication bias was also considerable. DISCUSSION AND IMPLICATIONS: The quality of the available evidence, as well as issues related to measurement of resilience, indicates the need for further work relative to its conceptualization and assessment. The presented findings have important clinical implications, particularly within the context of the coronavirus disease 2019 impact on resilience in older adults.

Psychometric Evaluation of the Making it CLEAR Questionnaire: A Resilience Measure for Older Adults.

BACKGROUND AND OBJECTIVES: Previous efforts to develop a resilience measure for older adults have largely failed to consider the environmental influences on their resilience, and have primarily concentrated on the resilience of community-dwelling older adults. Our objective was to validate a new multidimensional measure of resilience, the Making it CLEAR (MiC) questionnaire, for use with older adults at the point of discharge from hospital. RESEARCH DESIGN AND METHODS: This study tested the structure, validity, and reliability of the MiC questionnaire. The questionnaire consists of 34 items, which assess the "individual determinants of resilience" (IDoR) and the "environmental determinants of resilience" (EDoR) across 2 subscales. 416 adults aged 66-102 years participated. Exploratory factor analysis, item analysis, and linear regression were undertaken. RESULTS: The IDoR subscale contained six factors which were labeled "Self-efficacy," "Values," "Interpersonal skills," "Life orientation," "Self-care ability," and "Process skills." The EDoR subscale contained five factors related to "Person-environment fit," "Friends," "Material assets," "Habits," and "Family." Both subscales demonstrated acceptable convergent validity and internal consistency, while individual items showed acceptable levels of discrimination and difficulty. DISCUSSION AND IMPLICATIONS: The study provides evidence supporting the validity and quality of the MiC questionnaire. The results suggest that the MiC questionnaire could be used to identify the resilience needs of older adults at the point of hospital discharge. However, future research should identify which items of the MiC questionnaire are associated with hospital readmission, in order to develop an easily applicable screening tool for clinical practice.

Effectiveness of interpersonal psychotherapy for community living depressed women involved with the justice system.

BACKGROUND: Despite the prevalence of depression among women in the justice system, and its potentially significant consequences, there is a dearth of studies investigating psychological treatments for depression in this context, especially outside prison. AIMS: Our aim was to gather preliminary data on whether individual interpersonal psychotherapy (IPT) is an acceptable and effective treatment for depression in women at an early stage in the justice system. METHOD: In this pilot study, IPT was offered to 24 depressed women following their first or second contact with the justice system. The women were assessed using a range of scales to quantify depression, anxiety, post-traumatic stress disorder (PTSD) and social support. Multilevel models were used to explore interactions between change in depression and other features given the multiplicity and complexity of problems. Details on engagement and attrition were also collected. RESULTS: Therapy attrition was low, despite challenging life-circumstances and depression scores followed a linear trajectory with scores significantly decreasing over the time (ß = -0.59, SE = 0.07, p < 0.001). Participants with more adverse life events, attachment related anxiety and lower social support had poorer outcomes. CONCLUSIONS AND IMPLICATIONS: Results are encouraging. More than half of the hard-to-reach women who were eligible did engage, and retention rates suggest the therapy was acceptable to them. Depression scores improved, and potential factors affecting treatment outcome were identified. A randomised controlled trial is now warranted, ensuring adequate supplementary support for women with dependants living on their own and without employment.

An enhanced individual placement and support (IPS) intervention based on the Model of Human Occupation (MOHO); a prospective cohort study.

BACKGROUND: Employment is good for physical and mental health, however people with severe mental illness (SMI) are often excluded from employment. Standard Individual Placement and Support (IPS) is effective in supporting around 55% of people with SMI into employment or education. Current research considers enhancements to IPS to improve outcomes for those requiring more complex interventions. Clinicians need to better understand who will benefit from these enhanced IPS interventions. This study offers a new enhanced IPS intervention and an approach to predicting who may achieve successful outcomes. METHODS: This prospective cohort study included people with SMI who participated in an enhanced IPS service and had prolonged absence from employment. Secondary data analysis was conducted of data gathered in routine clinical practice. Univariate analysis coupled with previous research and clinical consultation was used to select variables to be included in the initial model, followed by a backward stepwise approach to model building for the final multiple logistic regression model with an outcome of successful or unsuccessful goal attainment (employment or education). RESULTS: Sixty-three percent of participants in the enhanced IPS successfully attained employment or education. Significant relationships from bivariate analyses were identified between outcomes (employment or education) and seven psychosocial variables. Adapting Routines to Minimise Difficulties, Work Related Goals, and Living in an Area of Lesser Deprivation were found to be significant in predicting employment or education in the final multiple logistic regression model R2 = 0.16 (Hosmer-Lemeshow), 0.19 (Cox-Snell), 0.26 (Nagelkerke). Model χ2(7) = 41.38 p < .001. CONCLUSION: An enhanced IPS service had a 63% rate success in achieving employment or education, higher than comparable studies and provides an alternative to IPS-Lite and IPS-standard for more complex populations. Motivational and habitual psychosocial variables are helpful in predicting who may benefit from an enhanced IPS intervention supporting people after prolonged absence from employment. TRIAL REGISTRATION: NCT04083404 Registered 05 September 2019 (retrospectively registered).

Quality of life outcomes for people with serious mental illness living in supported accommodation: systematic review and meta-analysis.

PURPOSE: To conduct a systematic review and meta-analysis of quality of life (QoL) outcomes for people with serious mental illness living in three types of supported accommodation. METHODS: Studies were identified that described QoL outcomes for people with serious mental illness living in supported accommodation in six electronic databases. We applied a random-effects model to derive the meta-analytic results. RESULTS: 13 studies from 7 countries were included, with 3276 participants receiving high support (457), supported housing (1576) and floating outreach (1243). QoL outcomes related to wellbeing, living conditions and social functioning were compared between different supported accommodation types. Living condition outcomes were better for people living in supported housing ([Formula: see text]= - 0.31; CI = [- 0.47; - 0.16]) and floating outreach ([Formula: see text]= - 0.95; CI = [- 1.30; - 0.61]) compared to high-support accommodation, with a medium effect size for living condition outcomes between supported housing and floating outreach ([Formula: see text]= - 0.40; CI = [- 0.82; 0.03]), indicating that living conditions are better for people living in floating outreach. Social functioning outcomes were significant for people living in supported housing compared to high support ([Formula: see text] = - 0.37; CI = [- 0.65; - 0.09]), with wellbeing outcomes not significant between the three types of supported accommodation. CONCLUSION: There is evidence that satisfaction with living conditions differs across supported accommodation types. The results suggest there is a need to focus on improving social functioning and wellbeing outcomes for people with serious mental illness across supported accommodation types.