A review of the psychometric properties of the Health of the Nation Outcome Scales (HoNOS) family of measures

BACKGROUND: The Health of the Nation Outcome Scales was developed to routinely measure outcomes for adults with mental illness. Comparable instruments were also developed for children and adolescents (the Health of the Nation Outcome Scales for Children and Adolescents) and older people (the Health of the Nation Outcome Scales 65+). All three are being widely used as outcome measures in the United Kingdom, Australia and New Zealand. There is, however, no comprehensive review of these instruments. This paper fills this gap by reviewing the psychometric properties of each. METHOD: Articles and reports relating to the instruments were retrieved, and their findings synthesised to assess the instruments' validity (content, construct, concurrent, predictive), reliability (test-retest, inter-rater), sensitivity to change, and feasibility/utility. RESULTS: Mostly, the instruments perform adequately or better on most dimensions, although some of their psychometric properties warrant closer examination. CONCLUSION: Collectively, the Health of the Nation Outcome Scales family of measures can assess outcomes for different groups on a range of mental health-related constructs, and can be regarded as appropriate for routinely monitoring outcomes

Do adults in contact with Australia's public sector mental health services get better?

This paper describes the outcomes of episodes of care for adults in public sector mental health services across Australia, with a view to informing the debate on service quality. Health of the Nation Outcome Scales (HoNOS) change scores and effect sizes were calculated for 14,659 acute inpatient episodes and 23,692 community episodes. The results showed that people in contact with public sector mental health services generally do get better, although the magnitude of improvement depends on the setting and episode type. This confirmatory finding is particularly positive, given current community concerns about the quality and effectiveness of mental health services

Multiple novel prostate cancer susceptibility signals identified by fine-mapping of known risk loci among Europeans

Genome-wide association studies (GWAS) have identified numerous common prostate cancer (PrCa) susceptibility loci. We have fine-mapped 64 GWAS regions known at the conclusion of the iCOGS study using large-scale genotyping and imputation in 25 723 PrCa cases and 26 274 controls of European ancestry. We detected evidence for multiple independent signals at 16 regions, 12 of which contained additional newly identified significant associations. A single signal comprising a spectrum of correlated variation was observed at 39 regions; 35 of which are now described by a novel more significantly associated lead SNP, while the originally reported variant remained as the lead SNP only in 4 regions. We also confirmed two association signals in Europeans that had been previously reported only in East-Asian GWAS. Based on statistical evidence and linkage disequilibrium (LD) structure, we have curated and narrowed down the list of the most likely candidate causal variants for each region. Functional annotation using data from ENCODE filtered for PrCa cell lines and eQTL analysis demonstrated significant enrichment for overlap with bio-features within this set. By incorporating the novel risk variants identified here alongside the refined data for existing association signals, we estimate that these loci now explain ∼38.9% of the familial relative risk of PrCa, an 8.9% improvement over the previously reported GWAS tag SNPs. This suggests that a significant fraction of the heritability of PrCa may have been hidden during the discovery phase of GWAS, in particular due to the presence of multiple independent signals within the same regio

Social change and the family: Comparative perspectives from the west, China, and South Asia

This paper examines the influence of social and economic change on family structure and relationships: How do such economic and social transformations as industrialization, urbanization, demographic change, the expansion of education, and the long-term growth of income influence the family? We take a comparative and historical approach, reviewing the experiences of three major sociocultural regions: the West, China, and South Asia. Many of the changes that have occurred in family life have been remarkably similar in the three settings—the separation of the workplace from the home, increased training of children in nonfamilial institutions, the development of living arrangements outside the family household, increased access of children to financial and other productive resources, and increased participation by children in the selection of a mate. While the similarities of family change in diverse cultural settings are striking, specific aspects of change have varied across settings because of significant pre-existing differences in family structure, residential patterns of marriage, autonomy of children, and the role of marriage within kinship systems.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45661/1/11206_2005_Article_BF01124383.pd

Breast cancer management pathways during the COVID-19 pandemic: outcomes from the UK ‘Alert Level 4’ phase of the B-MaP-C study

Abstract: Background: The B-MaP-C study aimed to determine alterations to breast cancer (BC) management during the peak transmission period of the UK COVID-19 pandemic and the potential impact of these treatment decisions. Methods: This was a national cohort study of patients with early BC undergoing multidisciplinary team (MDT)-guided treatment recommendations during the pandemic, designated ‘standard’ or ‘COVID-altered’, in the preoperative, operative and post-operative setting. Findings: Of 3776 patients (from 64 UK units) in the study, 2246 (59%) had ‘COVID-altered’ management. ‘Bridging’ endocrine therapy was used (n = 951) where theatre capacity was reduced. There was increasing access to COVID-19 low-risk theatres during the study period (59%). In line with national guidance, immediate breast reconstruction was avoided (n = 299). Where adjuvant chemotherapy was omitted (n = 81), the median benefit was only 3% (IQR 2–9%) using ‘NHS Predict’. There was the rapid adoption of new evidence-based hypofractionated radiotherapy (n = 781, from 46 units). Only 14 patients (1%) tested positive for SARS-CoV-2 during their treatment journey. Conclusions: The majority of ‘COVID-altered’ management decisions were largely in line with pre-COVID evidence-based guidelines, implying that breast cancer survival outcomes are unlikely to be negatively impacted by the pandemic. However, in this study, the potential impact of delays to BC presentation or diagnosis remains unknown

Adverse incidents in acute psychiatric inpatient units: rates, correlates and pressures

Objective: This paper reports findings from a multicentre service evaluation project conducted in acute psychiatric inpatient units in NSW, Australia. Overall rates of aggression, absconding and early readmission are reported, as well as length-of-stay profiles and associations between these outcomes and selected sociodemographic and clinical characteristics routinely collected by health services. Method: Data from the 11 participating units were collected for a 12 month period from multiple sources, including electronic medical records, routine clinical modules, incident forms, and shift based project-specific logs. For the current analyses, two admission-level datasets were used, comprising aggregated patient-level events (n=3242 admissions) and basic sociodemographic, clinical, admission and discharge information (n=5546 admissions by 3877 patients). Results: The participating units were under considerable strain: 23.3% of admissions were high acuity; 60.4% had previous hospital stays; 47.6% were involuntary; 25-30% involved adverse incidents; bed occupancy averaged 88.4%; median length of stay was 8 days (mean=14.59 days); and 17.4% had a subsequent early readmission. Reportable aggressive incidents (11.2% of admissions) were intermittent (averaging 0.55 incidents per month per occupied bed) and associated with younger age, personality disorder, less serious aggression, longer periods of hospitalization, and subsequent early readmission. Less serious aggressive incidents (15.0% of admissions) were maximal in the first 24 h (averaging 3.73 incidents per month per occupied bed) and associated with younger age, involuntary status, bipolar and personality disorders, the absence of depression, and longer hospital stays. Absconding (15.7% of admissions) peaked in the second week following admission and was associated with drug and alcohol disorder, younger age, and longer periods of hospitalization. Conclusions: By examining relationships between a core set of risk factors and multiple short-term outcomes, we were able to identify several important patterns, which were suggestive of the need for a multi-level approach to intervention, shifting from a risk management focus during the early phase of hospitalization to a more targeted, therapeutic approach during the later phase. But the latter approach may not be achievable under current circumstances with existing resources

Modelling candidate effectiveness indicators for mental health services

Objective: Although Australia and the UK have both made efforts to systematize outcome measurement in mental health services, surprisingly little attention has been paid to how best to analyse routine outcome data in order to determine how services are performing. Methods: Outcome data collected in acute inpatient and ambulatory mental health services across Australia during the 2006-2007 financial year were used. three approaches to measuring effectiveness were explored: effect size (ES); the reliable change index (RCI); and standard error of measurement (SEM). Results: The most conservative results were produced by the RCI and the least conservative by the medium ES statistic and the SEM. By way of example, only 38.0% of inpatient admission-discharge periods of care showed significant improvement for adults when the RCI was used, whereas 67.4% and 72.9% did so when the medium ES and the SEM statistics were used, respectively. Conclusions: In any routine outcome measurement exercise, the degree of effectiveness demonstrated by services will depend on the specific statistical indicator used to judge effectiveness. Routine outcome measurement has the potential to answer a range of crucial performance-related questions, but only if the same metric is used. Discussion of the appropriate statistical approach to take to facilitate cross-service, cross-area and even cross-national comparisons warrants attention