Application of mixture distributions for identifying thresholds of frequent and high inpatient mental health service use in longitudinal data.

BACKGROUND: There is a need for greater understanding about frequent and high use of inpatient mental health services, and those with ongoing increased needs. Most studies employ a threshold of frequent use (e.g. numbers of admissions) and high use (e.g. lengthy stays) without justification. AIMS: To identify model-driven thresholds for frequent/high inpatient mental health service use and contrast characteristics of patients identified using various models and thresholds. METHOD: Retrospective population-based study using 12 years of longitudinal data for 5631 patients admitted with a mental health diagnosis. Two-component negative binomial and poisson mixture (truncated/untruncated) models identified thresholds for frequent/high use in a 12-month period. RESULTS: The two-component negative binomial mixture model resulted in the best model fit. Using negative binomial-derived thresholds, 5.3% of patients had a period of frequent use (admitted six or more times), 15.8% of high use (hospitalised for 45 or more days) and 3.5% of heavy use (both frequent and high use). The prevalence of specific mental health disorders (e.g. mood disorder and schizophrenia) among frequent and high use cohorts varied across thresholds. CONCLUSIONS: This model-driven approach can be applied to identify thresholds in other cohorts. Threshold choice may depend on the magnitude and focus of potential interventions.

Sharing administrative health data with private industry: A report on two citizens' juries.

BACKGROUND: There is good evidence of both community support for sharing public sector administrative health data in the public interest and concern about data security, misuse and loss of control over health information, particularly if private sector organizations are the data recipients. To date, there is little research describing the perspectives of informed community members on private sector use of public health data and, particularly, on the conditions under which that use might be justified. METHODS: Two citizens' juries were held in February 2020 in two locations close to Sydney, Australia. Jurors considered the charge: 'Under what circumstances is it permissible for governments to share health data with private industry for research and development?' RESULTS: All jurors, bar one, in principle supported sharing government administrative health data with private industry for research and development. The support was conditional and the juries' recommendations specifying these conditions related closely to the concerns they identified in deliberation. CONCLUSION: The outcomes of the deliberative processes suggest that informed Australian citizens are willing to accept sharing their administrative health data, including with private industry, providing the intended purpose is clearly of public benefit, sharing occurs responsibly in a framework of accountability, and the data are securely held. PATIENT AND PUBLIC CONTRIBUTION: The design of the jury was guided by an Advisory Group including representatives from a health consumer organization. The jurors themselves were selected to be descriptively representative of their communities and with independent facilitation wrote the recommendations.

Predisposing, enabling and need factors associated with increased use and ongoing increased use of inpatient mental health care: A population-based longitudinal study.

OBJECTIVE: The study investigated factors associated with frequent (admissions), high (total length of stay) or heavy (frequent and high) hospital use, and with ongoing increased hospital use, for mental health conditions in a regional health district. METHODS: A retrospective population-based study using longitudinal hospital, emergency department and community service use data for people admitted with a mental health condition between 1 January 2012 and 31 December 2016. Multivariate logistic regression models assessed the association of predisposing, enabling and need factors with increased, and ongoing increased, hospital use. RESULTS: A total of 5,631 people had at least one mental health admission. Frequent admission was associated with not being married (odds ratio = 2.3, 95% confidence interval = [1.5, 3.3]), no private hospital insurance (odds ratio = 2.2, 95% confidence interval = [1.2, 3.8]), previous mental health service use (community, emergency department, lengthy admissions) and a history of a substance use disorder, childhood trauma, self-harm or chronic obstructive pulmonary disease. High and heavy hospital use was associated with marital status, hospital insurance, admission for schizophrenia, previous mental health service use and a history of self-harm. Ongoing frequent use was less likely among those aged 65 and older (odds ratio = 0.2, 95% confidence interval = [0.1, 1.0]) but more likely among those with a history of depression (odds ratio = 2.2, 95% confidence interval = [1.1, 4.4]). Ongoing high use was also associated with admissions for schizophrenia and a history of self-harm. CONCLUSION: Interventions targeted at younger people hospitalised with schizophrenia, a history of depression or self-harm, particularly with evidence of social and or health disadvantage, should be considered to improve long-term consumer and health system outcomes. These data can support policymakers to better understand the context and need for improvements in stepped or staged care for people frequently using inpatient mental health care.

Factors associated with utilisation of health care interpreting services and the impact on length of stay and cost: A retrospective cohort analysis of audit data.

ISSUE ADDRESSED: Utilisation of professional health care interpreting services improves the quality and safety of health care among patients with limited English proficiency. Health care interpreter service utilisation is inconsistent and suboptimal in Australia. Evidence of the impact of interpreter service use on patient outcomes and costs is limited. This study aimed to identify the proportion of hospitalised patients who received a health care interpreter during admission and describe the characteristics and outcomes for those requiring interpreter services. METHODS: A retrospective cohort analysis of linked admitted patient data with internal interpreter audit data. This study included all inpatients in a health district-wide clinical audit of interpreter service use conducted between July 2016 and March 2018. The dataset comprised 74 patients (including 79 unique hospital stays and 90 episodes) from eight hospitals in one regional health district in New South Wales, Australia. RESULTS: Interpreting services were utilised at least once for 54.4% (n = 43) of admissions. Females were more likely to receive an interpreter (65.1% vs 47.1%, P = .04). Age, preferred language, hospital, Diagnosis-Related Group partition and comorbidities were not associated with interpreter service utilisation. Differences in length of stay and cost associated with use of interpreter services were not statistically significant after casemix adjustment. CONCLUSIONS: Approximately half of those who required an interpreter received one during their hospital stay. Further investigation is needed to establish whether regular clinical audits contributed to this rate of utilisation, which is higher than reported elsewhere in the literature. SO WHAT?: A detailed understanding of regional interpreting service use with evidence from the literature provides compelling and contextual evidence for change, at the level at which the service is delivered. This supports meaningful action to increase utilisation, and improve the quality and safety of health care delivered to patients with limited English proficiency.

Community-based aftercare following an emergency department presentation for attempted suicide or high risk for suicide: study protocol for a non-randomised controlled trial.

BACKGROUND: Suicide is a major public health issue worldwide. Those who have made a recent suicide attempt are at high risk for dying by suicide in the future, particularly during the period immediately following departure from a hospital emergency department. As such the transition from hospital-based care to the community is an important area of focus in the attempt to reduce suicide rates. There is a need for evaluation studies to test the effectiveness of interventions directed to this stage (termed 'aftercare' interventions). METHODS: A controlled non-randomised two group (intervention vs treatment-as-usual control) design, using an intention-to-treat model, will evaluate the effectiveness of a suicide prevention aftercare intervention providing follow-up after presentations to a hospital emergency department as a result of a suicide attempt or high risk for suicide. The intervention is a community-based service, utilising two meetings with a mental health clinician and follow-up contacts by peer workers via a combination of face-to-face and telephone for four weeks, with the option of extension to 12 weeks. Seventy-five participants of the intervention service will be recruited to the study and compared to 1265 treatment-as-usual controls. The primary hypotheses are that over 12 months, those who participate in the aftercare follow-up intervention are less likely than controls to present to a hospital emergency department for a repeat suicide attempt or because of high risk for suicide, will have fewer re-presentations during this period and will have lower all-cause mortality. As a secondary aim, the impact of the intervention on suicide risk factors for those who participate in the service will be evaluated using pre- and post-intervention repeated measures of depression, anxiety, stress, hopelessness, belongingness, burdensomeness, and psychological distress. Enrolments into the study commenced on 1 November 2017 and are anticipated to cease in November 2019. DISCUSSION: The study aims to contribute to the understanding of effective interventions for individuals who have presented to a hospital emergency department as a result of a suicide attempt or at high risk for suicide and provide evidence in relation to interventions that incorporate peer-workers. TRIAL REGISTRATION: ACTRN12618001701213 . Registered on 16 October 2018. Retrospectively registered.

Implantable cardioverter-defibrillator therapy in Australia, 2002-2015.

OBJECTIVES: To quantify the number of implantable cardioverter-defibrillator (ICD) procedures in Australia by year, patient age and sex, and to estimate age group-specific population rates and the associated costs. Design, setting: Retrospective observational study; analysis of Australian National Hospital Morbidity Database hospital procedures data. PARTICIPANTS: Patients with an ICD insertion, replacement, adjustment, or removal procedure code, July 2002 - June 2015. MAIN OUTCOME MEASURES: Number of ICD procedures by procedure year, patient age (0-34, 35-69, 70 years or more) and sex; age group-specific population procedure rates; number of procedures associated with complications. RESULTS: The number of ICD procedures increased from 1844 in 2002-03 to 6504 in 2014-15; more than 75% of procedures were in men. In 2014-15, the ICD insertion rate for people aged 70 years or more was 78.1 per 100 000 population, 22 per 100 000 for those aged 35-69 years, and 1.40 per 100 000 people under 35. The reported complication rate decreased from 45% in 2002-03 to 19% in 2014-15, partly because of a change in the coding of complications. The number of removals corresponded to at least 4% of the number of insertions each year. The aggregate cost of hospitalisations with an ICD procedure during 2011-14 was $445 644 566. CONCLUSION: ICD procedures are becoming more frequent in Australia, particularly in people aged 70 or more. Patterns of care associated with ICD therapy, particularly patient- and hospital-related factors associated with adverse events, should be investigated to better understand and improve patient outcomes.

A Cross-National Examination of Differences in Classification of Lifetime Alcohol Use Disorder Between DSM-IV and DSM-5: Findings from the World Mental Health Survey.

BACKGROUND: The current study sought to examine the diagnostic overlap in DSM-IV and DSM-5 alcohol use disorder (AUD) and determine the clinical correlates of changing diagnostic status across the 2 classification systems. METHODS: DSM-IV and DSM-5 definitions of AUD were compared using cross-national community survey data in 9 low-, middle-, and high-income countries. Participants were 31,367 respondents to surveys in the World Health Organization's World Mental Health Survey Initiative. The Composite International Diagnostic Interview, version 3.0, was used to derive DSM-IV and DSM-5 lifetime diagnoses of AUD. Clinical characteristics, also assessed in the surveys, included lifetime DSM-IV anxiety; mood and drug use disorders; lifetime suicidal ideation, plan, and attempt; general functional impairment; and psychological distress. RESULTS: Compared with DSM-IV AUD (12.3%, SE = 0.3%), the DSM-5 definition yielded slightly lower prevalence estimates (10.8%, SE = 0.2%). Almost one-third (n = 802) of all DSM-IV abuse cases switched to subthreshold according to DSM-5 and one-quarter (n = 467) of all DSM-IV diagnostic orphans switched to mild AUD according to DSM-5. New cases of DSM-5 AUD were largely similar to those who maintained their AUD across both classifications. Similarly, new DSM-5 noncases were similar to those who were subthreshold across both classifications. The exception to this was with regard to the prevalence of any lifetime drug use disorder. CONCLUSIONS: In this large cross-national community sample, the prevalence of DSM-5 lifetime AUD was only slightly lower than the prevalence of DSM-IV lifetime AUD. Nonetheless, there was considerable diagnostic switching, with a large number of people inconsistently identified across the 2 DSM classifications.

Effects of the nursing practice environment, nurse staffing, patient surveillance and escalation of care on patient mortality: A multi-source quantitative study.

BACKGROUND: A favourable nursing practice environment and adequate nurse staffing have been linked to reduced patient mortality. However, the contribution of nursing care processes such as patient surveillance and escalation of care, on patient mortality is not well understood. OBJECTIVE: The aim of this study was to investigate the effect of the nursing practice environment, nurse staffing, missed care related to patient surveillance and escalation of care on 30-day inpatient mortality. DESIGN: A multi-source quantitative study including a cross-sectional survey of nurses, and retrospective data extracted from an audit of medical and admission records. SETTING(S): A large tertiary teaching hospital (600 beds) in metropolitan Sydney, Australia. METHODS: Data on the nursing practice environment, nurse staffing and missed care were obtained from the nursing survey. Patient deterioration data and patient outcome data were collected from the medical and admission records respectively. Logistic regression models were used to examine the association between the nursing practice environment, patient deterioration and 30-day inpatient mortality accounting for clustering of episodes within patients using generalised estimating equations. RESULTS: Surveys were completed by 304 nurses (84.5 % female, mean age 34.4 years, 93.4 % Registered Nurses) from 16 wards. Patient deterioration data was collected for 30,011 patient deterioration events and 63,847 admitted patient episodes of care. Each additional patient per nurse (OR = 1.22, 95 % CI = 1.04-1.43) and the presence of increased missed care for patient surveillance (OR = 1.13, 95 % CI = 1.03-1.23) were associated with higher risk of 30-day inpatient mortality. The use of a clinical emergency response system reduced the risk of mortality (OR = 0.82, 95 % CI = 0.76-0.89). A sub-group analysis excluding aged care units identified a 38 % increase in 30-day inpatient mortality for each additional patient per nurse (OR = 1.38, 95 % CI = 1.15-1.65). The nursing practice environment was also significantly associated with mortality (OR = 0.79, 95 % CI: 0.72-0.88) when aged care wards were excluded. CONCLUSIONS: Patient mortality can be reduced by increasing nurse staffing levels and improving the nursing practice environment. Nurses play a pivotal role in patient safety and improving nursing care processes to minimise missed care related to patient surveillance and ensuring timely clinical review for deteriorating patients reduces inpatient mortality. TWEETABLE ABSTRACT: Patient mortality can be reduced by improving the nursing practice environment & increasing the number of nurses so that nurses have more time to monitor patients. Investing in nurses results in lower mortality and better outcomes. #PatientSafety #NurseStaffing #WorkEnvironment #Mortality.

Managing missing and erroneous data in nurse staffing surveys.

BACKGROUND: Analysis can be problematic in research when data are missing or erroneous. Various methods are available for managing missing and erroneous data, but little is known about which are the best to use when conducting cross-sectional surveys of nurse staffing. AIM: To explore how missing and erroneous data were managed in a study that involved a cross-sectional survey of nurse staffing. DISCUSSION: The article describes a study that used a cross-sectional survey to estimate the ratio of registered nurses to patients, using self-reported data by nurses. It details the techniques used in the study to manage missing and erroneous data and presents the results of the survey before and after the treatment of missing data. CONCLUSION: Managing missing data effectively and reporting procedures transparently reduces the possibility of bias in a study's results and increases its reproducibility. Nurse researchers need to understand the methods available to handle missing and erroneous data. Surveys must contain unambiguous questions, as every participant should have the same understanding of a question's meaning. IMPLICATION FOR PRACTICE: Researchers should pilot surveys - even when using validated tools - to ensure participants interpret the questions as intended.

Under-coding of dementia and other conditions indicates scope for improved patient management: A longitudinal retrospective study of dementia patients in Australia.

BACKGROUND: Under-coding of dementia during hospitalisation results in an inability to identify all patients with dementia using hospital administrative data. Clinical coding can be viewed as a proxy for management; therefore, under-coding indicates dementia was not considered in the patient's management. While under-coding of dementia is well established, there is sparse evidence on whether dementia is coded in subsequent hospitalisations among patients with a known diagnosis. OBJECTIVE: (a) To describe patterns of dementia coding over 5 years after a first-coded (i.e. index) admission for dementia; (b) to identify factors associated with clinical coding of dementia; and (c) to identify patient subgroups at risk of not being coded to inform future interventions to improve hospital identification and management of dementia. METHOD: Retrospective study of longitudinal hospital data from 1 July 2006 to 30 June 2015 for 7919 patients hospitalised during the 5 years' post-index admission for dementia in a regional local health district of New South Wales, Australia. RESULTS: Dementia was coded in 63.9% of admissions in the 12 months following index admission for dementia; this decreased to 53.7% after 5 years. Patients were 20% more likely to have dementia actively managed when it co-occurred with delirium. Under-coding varied across conditions, with dementia more likely to be coded in admissions for falls and pneumonitis, and less likely for heart failure, pneumonia and urinary tract infection (UTI). CONCLUSION: The frequency with which dementia was not coded highlights opportunities to improve identification and management of dementia through dementia-specific care, enhanced clinical protocols, and interventions focused around heart failure, pneumonia and UTI admissions.

Patterns of morbidity and multimorbidity associated with early and late readmissions in an Australian regional health service.

OBJECTIVES: To describe morbidity and multimorbidity patterns among adults readmitted to an Australian regional health service, in terms of occurrence of the same and different morbidities at index admission and readmission. METHODS: This cohort study used hospital admissions data for patients admitted between 1 July 2014 and 30 June 2016 to estimate proportions of unplanned readmissions ('early' within 30 days and 'late' within 1-6 months) with the same and different morbidities as the index admission. Readmission rates were estimated by selected sociodemographic, admission and diagnostic characteristics. RESULTS: The majority of early and late readmissions were in different diagnostic groups and for different primary morbidities to the index admission. Only 38.8% of readmissions were in the same major diagnostic group as the index admission and 18.4% in the same Adjacent Diagnosis-Related Group. Twenty one percent of admitted patients were readmitted within six months, with this increasing to 35.3% among multimorbid patients. CONCLUSION: With increasing prevalence of multimorbidity, particularly among those at increased risk of readmission, it is essential to step away from a single disease focus in the design of both hospital avoidance and chronic disease management programmes. Holistic interventions and strategies that address multiple chronic conditions are required.

The relationship between the nursing practice environment and five nursing-sensitive patient outcomes in acute care hospitals: A systematic review.

AIM: To synthesize the available evidence on the relationship between the nursing practice environment in acute care hospitals and five selected nursing-sensitive patient outcomes (mortality, medication error, pressure injury, hospital-acquired infection and patient fall). DESIGN: A quantitative systematic review of literature was conducted using the PRISMA reporting guidelines (PROSPERO: CRD42020143104). METHODS: A systematic review was undertaken up to October 2020 using: CINAHL, MEDLINE and Scopus. The review included studies exploring the relationship between the nursing practice environment in adult acute care settings and one of five selected patient outcomes using administrative data sources. Studies were published in English since 2000. RESULTS: Ten studies were included. Seven studies reported that a favourable nursing practice environment reduced the likelihood of mortality in acute care hospitals, but estimates of the effect size varied. Evidence on the association between the nursing practice environment and medication administration error, pressure injury and hospital-acquired infection was mixed.

Patterns of hospital utilisation in the lead up to a diagnosis of dementia: A longitudinal retrospective study of hospital dementia patients in Australia.

OBJECTIVE: To describe patterns of hospitalisation in the years preceding the first (index) admission coded with dementia. METHODS: Retrospective longitudinal analysis of hospitalisation preceding an index admission for dementia for 7919 patients and a matched cohort in a regional local health district of New South Wales, Australia, from 1 July 2006 to 31 December 2016. RESULTS: The dementia cohort experienced a sharp increase in frequency of hospitalisation, particularly in the year pre-index, and primarily for falls and urinary tract infections. They also demonstrated more episodes for nervous and musculoskeletal illnesses and injuries than controls and visited emergency department more frequently with neurological illnesses and injuries. CONCLUSION: Findings highlight opportunities for earlier diagnosis of dementia in hospital, through more targeted screening and follow-up of suspected cases with comprehensive geriatric assessment prior to discharge. This may result in a definitive diagnosis on discharge, allowing for better coordination of ongoing management to prevent unnecessary readmissions.

Trends in unplanned readmissions over 15 years: a regional Australian perspective.

Objective The aim of this study was to assess 15-year trends in unplanned readmissions in an Australian regional health service. Methods Drawing on data held in the Illawarra Health Information Platform (IHIP), this longitudinal retrospective study of adults admitted to hospital between 2001-02 and 2015-16 assessed rates of unplanned all-cause readmissions within 30 days ('early') and 1-6 months ('late') following discharge. Rates were compared over time and between patient groups. Results Age-adjusted early readmission rates declined over the 15 years by an average of 1.3% per annum, whereas late readmission rates increased by an average of 0.6% per annum. Together, there was an overall decline in readmission rates. The entire decline in early readmission rates and a reversal of the increasing trend in late readmission rates occurred since 2010-11. Similar trends occurred across age groups, but were most pronounced among those aged ≥75 years. Conclusions The decline in readmissions since 2010-11 suggests that the region has achieved improvements in discharge planning and in continuity between hospitals and community-based care. These improvements have occurred across broad patient groups. The longitudinal and linked data held in the IHIP provides a unique opportunity to examine patterns of service utilisation at a regional level. What is known about the topic? Published reports of longitudinal trends in readmissions are typically limited by short study periods and narrow criteria used to define study populations and readmissions. Australian longitudinal data suggest rates of early readmission have remained relatively unchanged in recent years, despite the focus on readmission rates as a metric to assess the quality and continuity of care. What does this paper add? This unique longitudinal study reports on long-term readmission trends over 15 years to hospitals within a single geographic area, with trends reported for both early (30-day) and late (1- to 6-month) readmissions by age group and major diagnostic categories. The findings reflect more complex patterns than are typically reported in cross-sectional and more limited longitudinal studies. What are the implications for practitioners? The results suggest improvements at a regional level that may be associated with care during the initial hospitalisation and discharge (reflected particularly in early readmissions) and in the community (reflected particularly in late readmissions). Future investigations will explore specific patient groups and the effects of specific initiatives, services and models of care to better predict those at risk of readmission and to inform translation locally and further afield. The relationship between readmissions and the use of ambulatory services (primary care, emergency department and out-patient) also warrants further investigation.

Hospitalisation for medication misadventures among older adults with and without dementia: A 5-year retrospective study.

OBJECTIVES: To compare rates and trends in hospital admissions due to medication misadventure for older adults (≥65 years) with and without dementia. METHODS: A retrospective analysis of hospital admissions that occurred between 2012 and 2016, for medication misadventures among older adults living in regional Australia. RESULTS: Medication misadventures contributed to 10 555 (4.6%) of the total 228 165 admissions for older adults over the study period. Among these admissions, older adults with dementia were three times more likely to be hospitalised with medication misadventures (14.0%), than their non-dementia counterparts (4.2%). Medication misadventures relating to "anticoagulants" and "opioids/related analgesics" accounted for the majority of admissions (24.3% dementia vs 30.7% non-dementia). CONCLUSIONS: This study highlights that the proportion of older adults hospitalised for a medication misadventure is much higher among those with dementia, than those without dementia. Strategies should target older adults, and especially those with dementia, to reduce medication-related harm and improve patient safety.

Impact of body mass index on utilization of selected hospital resources for four common surgical procedures.

BACKGROUND: Evidence about the impact of obesity on surgical resource consumption in the Australian setting is equivocal. Our objectives were to quantify the prevalence of obesity in four frequently performed surgical procedures and explore the association between body mass index (BMI) and hospital resource utilization including procedural duration, length of stay (LOS) and costs. METHODS: A retrospective cohort study of patients undergoing four surgical procedures at a tertiary referral centre in New South Wales, between 1 January 2016 and 31 December 2016, was conducted. The four surgical procedures were total hip replacement, laparoscopic appendectomy, laparoscopic cholecystectomy and hysteroscopy with dilatation and curettage. Surgical groups were stratified according to BMI category. RESULTS: A total of 699 patients were included in the study. The prevalence of obesity was significantly higher than local and national population estimates for all procedures except appendectomy. BMI was not associated with increased hospital resource utilization (procedural, anaesthetic or intensive care stay duration) in any of the four surgical procedures examined after controlling for age, gender and complexity. For other outcomes of hospital resource utilization (LOS and cost), the relationship was inconsistent across the four procedures examined. A high BMI was positively associated with higher LOS, medical costs and allied health costs in those who underwent an appendectomy, and critical care costs in those who underwent laparoscopic cholecystectomy. CONCLUSION: Obesity was common in patients undergoing four frequently performed surgical procedures. The relationship between BMI and hospital resource utilization appears to be complex and varies across the four procedures examined.

Here one year, gone the next? Investigating persistence of frequent emergency department attendance: a retrospective study in Australia.

OBJECTIVES: Patients are presenting to emergency departments (EDs) with increasing complexity at rates beyond population growth and ageing. Intervention studies target patients with 12 months or less of frequent attendance. However, these interventions are not well targeted since most patients do not remain frequent attenders. This paper quantifies temporary and ongoing frequent attendance and contrasts risk factors for each group. DESIGN: Retrospective population-based study using 10 years of longitudinal data. SETTING: An Australian geographic region that includes metropolitan and rural EDs. PARTICIPANTS: 332 100 residents visited any ED during the study period. MAIN OUTCOME MEASURE: Frequent attendance was defined as seven or more visits to any ED in the region within a 12-month period. Temporary frequent attendance was defined as meeting this threshold only once, and ongoing more than once. Risk factors for temporary and ongoing frequent attenders were identified using logistic regression models for adults and children. RESULTS: Of 8577 frequent attenders, 80.1% were temporary and 19.9% ongoing (12.9% repeat, 7.1% persistent). Among adults, ongoing were more likely than temporary frequent attenders to be young to middle aged (aged 25-64 years), and less likely to be from a high socioeconomic area or be admitted. Ongoing frequent attenders had higher rates of non-injury presentations, in particular substance-related (OR=2.5, 99% CI 1.1 to 5.6) and psychiatric illness (OR=2.9, 99% CI 1.8 to 4.6). In comparison, children who were ongoing were more likely than temporary frequent attenders to be aged 5-15 years, and were not more likely to be admitted (OR=2.7, 99% CI 0.7 to 10.9). CONCLUSIONS: Future intervention studies should distinguish between temporary and ongoing frequent attenders, develop specific interventions for each group and include rigorous evaluation.

Concordance between the diagnostic guidelines for alcohol and cannabis use disorders in the draft ICD-11 and other classification systems: analysis of data from the WHO's World Mental Health Surveys.

BACKGROUND AND AIMS: The World Health Organization's (WHO's) proposed International Classification of Diseases, 11th edition (ICD-11) includes several major revisions to substance use disorder (SUD) diagnoses. It is essential to ensure the consistency of within-subject diagnostic findings throughout countries, languages and cultures. To date, agreement analyses between different SUD diagnostic systems have largely been based in high-income countries and clinical samples rather than general population samples. We aimed to evaluate the prevalence of, and concordance between diagnoses using the ICD-11, The WHO's ICD 10th edition (ICD-10) and the Diagnostic and Statistical Manual of Mental Disorders, 4th and 5th editions (DSM-IV, DSM-5); the prevalence of disaggregated ICD-10 and ICD-11 symptoms; and variation in clinical features across diagnostic groups. DESIGN: Cross-sectional household surveys. SETTING: Representative surveys of the general population in 10 countries (Argentina, Australia, Brazil, Colombia, Iraq, Northern Ireland, Poland, Portugal, Romania and Spain) of the World Mental Health Survey Initiative. PARTICIPANTS: Questions about SUDs were asked of 12 182 regular alcohol users and 1788 cannabis users. MEASUREMENTS: Each survey used the World Mental Health Survey Initiative version of the WHO Composite International Diagnostic Interview version 3.0 (WMH-CIDI). FINDINGS: Among regular alcohol users, prevalence (95% confidence interval) of life-time ICD-11 alcohol harmful use and dependence were 21.6% (20.5-22.6%) and 7.0% (6.4-7.7%), respectively. Among cannabis users, 9.3% (7.4-11.1%) met criteria for ICD-11 harmful use and 3.2% (2.3-4.0%) for dependence. For both substances, all comparisons of ICD-11 with ICD-10 and DSM-IV showed excellent concordance (all κ ≥ 0.9). Concordance between ICD-11 and DSM-5 ranged from good (for SUD and comparisons of dependence and severe SUD) to poor (for comparisons of harmful use and mild SUD). Very low endorsement rates were observed for new ICD-11 feature for harmful use ('harm to others'). Minimal variation in clinical features was observed across diagnostic systems. CONCLUSIONS: The World Health Organization's proposed International Classification of Diseases, 11th edition (ICD-11) classifications for substance use disorder diagnoses are highly consistent with the ICD 10th edition and the Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV). Concordance between ICD-11 and the DSM 5th edition (DSM-5) varies, due largely to low levels of agreement for the ICD harmful use and DSM-5 mild use disorder. Diagnostic validity of self-reported 'harm to others' is questionable.