Christopher M. Perlman

Development of mental health quality indicators (MHQIs) for inpatient psychiatry based on the interRAI mental health assessment

BackgroundOutcome quality indicators are rarely used to evaluate mental health services because most jurisdictions lack clinical data systems to construct indicators in a meaningful way across mental health providers. As a result, important information about the effectiveness of health services remains unknown. This study examined the feasibility of developing mental health quality indicators (MHQIs) using the Resident Assessment Instrument - Mental Health (RAI-MH), a clinical assessment system mandated for use in Ontario, Canada as well as many other jurisdictions internationally.MethodsRetrospective analyses were performed on two datasets containing RAI-MH assessments for 1,056 patients from 7 facilities and 34,788 patients from 70 facilities in Ontario, Canada. The RAI-MH was completed by clinical staff of each facility at admission and follow-up, typically at discharge. The RAI-MH includes a breadth of information on symptoms, functioning, socio-demographics, and service utilization. Potential MHQIs were derived by examining the empirical patterns of improvement and incidence in depressive symptoms and cognitive performance across facilities in both sets of data. A prevalence indicator was also constructed to compare restraint use. Logistic regression was used to evaluate risk adjustment of MHQIs using patient case-mix index scores derived from the RAI-MH System for Classification of Inpatient Psychiatry.ResultsSubscales from the RAI-MH, the Depression Severity Index (DSI) and Cognitive Performance Scale (CPS), were found to have good reliability and strong convergent validity. Unadjusted rates of five MHQIs based on the DSI, CPS, and restraints showed substantial variation among facilities in both sets of data. For instance, there was a 29.3% difference between the first and third quartile facility rates of improvement in cognitive performance. The case-mix index score was significantly related to MHQIs for cognitive performance and restraints but had a relatively small impact on adjusted rates/prevalence.ConclusionsThe RAI-MH is a feasible assessment system for deriving MHQIs. Given the breadth of clinical content on the RAI-MH there is an opportunity to expand the number of MHQIs beyond indicators of depression, cognitive performance, and restraints. Further research is needed to improve risk adjustment of the MHQIs for their use in mental health services report card and benchmarking activities.

READMIT: A clinical risk index to predict 30-day readmission after discharge from acute psychiatric units

Our aim was to create a clinically useful risk index, administered prior to discharge, for determining the probability of psychiatric readmission within 30 days of hospital discharge for general psychiatric inpatients. We used population-level sociodemographic and health administrative data to develop a predictive model for 30-day readmission among adults discharged from an acute psychiatric unit in Ontario, Canada (2008-2011), and converted the final model into a risk index system. We derived the predictive model in one-half of the sample (n = 32,749) and validated it in the other half of the sample (n = 32,750). Variables independently associated with 30-day readmission (forming the mnemonic READMIT) were: (R) Repeat admissions; (E) Emergent admissions (i.e. harm to self/others); (D) Diagnoses (psychosis, bipolar and/or personality disorder), and unplanned Discharge; (M) Medical comorbidity; (I) prior service use Intensity; and (T) Time in hospital. Each 1-point increase in READMIT score (range 0-41) increased the odds of 30-day readmission by 11% (odds ratio 1.11, 95% CI 1.10-1.12). The index had moderate discriminative capacity in both derivation (C-statistic = 0.631) and validation (C-statistic = 0.630) datasets. Determining risk of psychiatric readmission for individual patients is a critical step in efforts to address the potentially avoidable high rate of this negative outcome. The READMIT index provides a framework for identifying patients at high risk of 30-day readmission prior to discharge, and for the development, evaluation and delivery of interventions that can assist with optimizing the transition to community care for patients following psychiatric discharge.

Risk and protective factors associated with intentional self‐harm among older community‐residing home care clients in Ontario, Canada

We aim to concurrently examine risk and protective factors associated with intentional self‐harm among community‐residing older adults receiving home care services in Ontario, Canada.

Updating the Cognitive Performance Scale

This study presents the first update of the Cognitive Performance Scale (CPS) in 20 years. Its goals are 3-fold: extend category options; characterize how the new scale variant tracks with the Mini-Mental State Examination; and present a series of associative findings. Secondary analysis of data from 3733 older adults from 8 countries was completed. Examination of scale dimensions using older and new items was completed using a forward-entry stepwise regression. The revised scale was validated by examining the scale’s distribution with a self-reported dementia diagnosis, functional problems, living status, and distress measures. Cognitive Performance Scale 2 extends the measurement metric from a range of 0 to 6 for the original CPS, to 0 to 8. Relating CPS2 to other measures of function, living status, and distress showed that changes in these external measures correspond with increased challenges in cognitive performance. Cognitive Performance Scale 2 enables repeated assessments, sensitive to detect changes particularly in early levels of cognitive decline.

Food Insecurity and Mental Health among Females in High-Income Countries

Food insecurity is a persistent concern in high-income countries, and has been associated with poor mental health, particularly among females. We conducted a scoping review to characterize the state of the evidence on food insecurity and mental health among women in high-income countries. The research databases PubMed, EMBASE, and psycINFO were searched using keywords capturing food insecurity, mental health, and women. Thirty-nine articles (representing 31 unique studies/surveys) were identified. Three-quarters of the articles drew upon data from a version of the United States Department of Agriculture Household Food Security Survey Module. A range of mental health measures were used, most commonly to measure depression and depressive symptoms, but also anxiety and stress. Most research was cross-sectional and showed associations between depression and food insecurity; longitudinal analyses suggested bidirectional relationships (with food insecurity increasing the risk of depressive symptoms or diagnosis, or depression predicting food insecurity). Several articles focused on vulnerable subgroups, such as pregnant women and mothers, women at risk of homelessness, refugees, and those who had been exposed to violence or substance abuse. Overall, this review supports a link between food insecurity and mental health (and other factors, such as housing circumstances and exposure to violence) among women in high-income countries and underscores the need for comprehensive policies and programs that recognize complex links among public health challenges.

Evaluability assessment of a small NGO in water-based development

Small non-governmental organizations (NGOs) working in water-based development in low- and middle-income countries face unique challenges when it comes to evaluative practice. Few prioritize evaluation because they lack expertise and/or feel strongly about funding programs and not processes, given accountability to donors. To examine facilitators and barriers to evaluation in this context, we embarked on an organizational-level evaluation of H2O 4 ALL, a Canadian NGO with no prior evaluation experience. We first conducted an evaluability assessment, guided by Thurston and Potvin’s framework for social change programs, to understand evaluation priorities and needs. By triangulating findings from three qualitative sources of data – an environmental scan, a document review, and in-depth interviews – we demonstrated evaluability assessments’ applicability to water-based development and established a baseline for further research.

Prevalence and Correlates of Criminal Activity in Adolescents Treated in Adult Inpatient Mental Health Beds in Ontario, Canada

Using logistic regression, this study seeks to examine the prevalence and correlates of criminal involvement in the previous year among adolescents in inpatient psychiatric facilities across Ontario, Canada. A sample of 2,613 adolescents aged 12 to 18 years who were admitted to adult inpatient mental health beds were examined. Just over one quarter of adolescents engaged in criminal activity within the past year. Older age, male gender, previous psychiatric admissions, a history of child abuse, poor insight into mental illness, substance use, specific types of mental health disorders, and aggressive behavior were all significantly associated with the presence of prior criminal activity. The well-founded association between mental health problems, substance use, and criminal behavior highlights the need for effective screening in settings providing services in the areas of juvenile justice, mental health, and addictions. Clinician awareness in all three settings is recommended so that these factors associated with at-risk behavior can be identified and appropriate treatment and referrals can be provided at the earliest point of involvement with any of these service systems.

A longitudinal examination of rural status and suicide risk

There is limited research on suicide risk in Canadian home care. Older adults have the highest rates of death by suicide worldwide. This article examines characteristics of rural and urban home care recipients with a hospital or emergency department visit for suicide attempts in Ontario, Canada. Factors that increase or decrease risk for emergent care are identified. This research builds on a growing need for health leadership to ensure that home care providers have appropriate training and resources to assess and respond to potential risk of suicide among frail elders.

Geographic Clustering of Admissions to Inpatient Psychiatry among Adults with Cognitive Disorders in Ontario, Canada: Does Distance to Hospital Matter?:

Objective: This study examined relationships among hospital accessibility, socio-economic context, and geographic clustering of inpatient psychiatry admissions for adults with cognitive disorders in Ontario, Canada. Method: A retrospective cross-sectional analysis was conducted using admissions data from 71 hospitals with inpatient psychiatry beds in Ontario, Canada between 2011 and 2014. Data included 7,637 unique admissions for 4,550 adults with a DSM-IV diagnosis of Delirium, Dementia, Amnestic and other Cognitive Disorders. Bayesian spatial Poisson regression was employed to examine the relationship between accessibility of general hospitals with psychiatric beds and psychiatric hospitals, area-level marginalization, and hospitalization rate with the risk of admission to inpatient psychiatry among adults with cognitive disorders across 516 Forward Sortation Areas (FSA) in Ontario. Results: Residential instability and the overall hospitalization rate were significantly associated with an increase in the relative risk of admissions to inpatient psychiatry. Accessibility to general hospitals and psychiatric hospitals were marginally insignificant at the 95% credible interval in the final model. Significant geographic clustering of admissions was identified where individuals residing in FSAs with the highest relative risk were 2.0 to 7.1 times more likely to be admitted to inpatient psychiatry compared to the average. Conclusions: Geographic clustering of inpatient psychiatry admissions for adults with cognitive disorders exists across the Province of Ontario, Canada. At the geographic level, the risk of admission was positively associated with residential instability and the overall hospitalization rate, but not distance to the closest general or psychiatric hospital.

Exploring Geographic Variation of Mental Health Risk and Service Utilization of Doctors and Hospitals in Toronto: A Shared Component Spatial Modeling Approach

Mental Health has been known to vary geographically. Different rates of utilization of mental health services in local areas reflect geographic variation of mental health and complexity of health care. Variations and inequalities in how the health care system addresses risks are two critical issues for addressing population mental health. This study examines these issues by analyzing the utilization of mental health services in Toronto at the neighbourhood level. We adopted a shared component spatial modeling approach that allows simultaneous analysis of two main health service utilizations: doctor visits and hospitalizations related to mental health conditions. Our results reflect a geographic variation of both types of mental health service utilization across neighbourhoods in Toronto. We identified hot and cold spots of mental health risks that are common to both or specific to only one type of health service utilization. Based on the evidence found, we discuss intervention strategies, focusing on the hotspots and provision of health services about doctors and hospitals, to improve mental health for the neighbourhoods. Limitations of the study and further research directions are also discussed.