Concordance between health administrative data and survey-derived diagnoses for mood and anxiety disorders

DSM-5 acute stress disorder in hospitalized burn patients: The impact and interplay of pre- and peri-trauma psychological risk factors

OBJECTIVE

Burn injuries can be traumatic and lead to psychological sequelae, particularly acute stress disorder (ASD). Information regarding the prevalence and risk factors of ASD following DSM-5 criteria is relatively limited among survivors of burn and other traumas. This study aimed to investigate the prevalence of probable ASD post-burn according to DSM-5 criteria and explore the impact and interplay of pre- and peri-trauma psychological risk factors on DSM-5 ASD symptomatology.

METHODS

Between February 2017 and November 2020, 118 patients admitted to the largest burn center in Taiwan were enrolled, with 100 completing assessments within 30 days of injury during acute hospitalization. Most participants were men (73 %), with a mean age of 41.9±12.5 years. The average percentage of total body surface area (TBSA) burned was 15.1±11.5 %.

RESULTS

Around 9 % of the hospitalized burn patients had probable DSM-5 ASD. The most common ASD symptoms were intrusive memories, distress triggered by trauma reminders, and distressing dreams. Pre- and peri-trauma psychological risk factors uniquely accounted for 42.4 % of the variance in DSM-5 ASD symptomatology post-burn after adjusting for covariates. Both peritraumatic emotions and peritraumatic dissociation emerged as strong predictors with medium-to-large effect sizes (semi-partial r2 =.13 and .09). Notably, prior depression severity significantly moderated the associations between peri-trauma psychological risk factors and ASD symptoms post-burn (incremental R2 = 5.6-8.8 %).

CONCLUSION

The findings underscore the interplay of pre- and peri-trauma psychological processes in susceptibility to ASD symptomatology post-burn.

Identification of Mood Disorders in Self-Reported Versus Health Administrative Data

BACKGROUND

Producing relevant knowledge on the prevalence of mood disorders (MDs) requires a clear identification of people living with the condition. Analyzing this multifaceted disease from the perspective of health administrative data and population-based surveys could contribute to document inconsistencies between these data sources and highlight the strengths and limitations of each methodological approaches.

OBJECTIVES

The aim of this study was to estimate the prevalence of MD disease, assess concordance of MD patterns in population-based surveys versus health administrative data, and investigate statistical differences in characteristics between individuals presenting the disease in each data sources.

METHODS

This study used the Care Trajectories-Enriched Data (TorSaDE) cohort. The TorSaDE cohort is built by merging five waves of the Canadian Community Health Survey (CCHS) with health administrative data of the province of Quebec, Canada. The sample includes individuals who participated in at least one round of CCHS and for whom evidence of use of health services in the year of CCHS completion and the year before were present in health administrative data. The cohort was split into four groups based on the presence and absence of MD in self-reported versus health administrative data. Groups' characteristics were compared using chi-square tests and ANOVA.

RESULTS

The study cohort was composed of 96,079 individuals, of which 10,418 (10.8%) had MD, regardless of the data sources. Self-reported prevalence of MD was 6.03%, while the prevalence from health administrative data was about 7.79%. Estimates showed a low level of concordance between the two measures, as only 27.4% of people presenting this medical condition were identified in both data sources. Furthermore, individuals identified with MD only in survey data had poorer socioeconomic outcomes but better health outcomes than those from the concordant group (i.e., identified in both data sources). In addition, people presenting MD in health administrative data only had better socioeconomic and health outcomes than those who reported MD diagnosis only in survey data.

CONCLUSION

Findings suggest that each measure capture different specific subpopulations. Estimates obtained from each source should thus be contextualized and interpreted with caution.

Factors affecting 12-month unplanned readmissions for chronic obstructive pulmonary disease patients: the effect of mental disorders in an Australian cohort

BACKGROUND

Many individuals with chronic obstructive pulmonary disease (COPD) experience frequent hospitalization and readmissions, which is burdensome on the health system. This study aims to investigate factors associated with unplanned readmissions and mortality following a COPD-related hospitalization over a 12-month period in Australia, focusing on mental disorders and accounting for the acute phase of the COVID-19 pandemic.

METHODS

A retrospective cohort study using linked hospitalization and mortality records identified individuals aged ≥40 years who had at least one hospital admission with a principal diagnosis of COPD between 2014 and 2020 in New South Wales, Australia. A semi-competing risk analysis was conducted to examine factors associated with unplanned readmission and mortality.

RESULTS

Adults with a mental disorder diagnosis, specifically anxiety, had a higher risk of 12-month unplanned readmission. Individuals with anxiety and dementia also had a higher risk of mortality pre- and post-unplanned readmission. Individuals who were admitted during the acute phase of the COVID-19 pandemic period had lower risk of unplanned readmission, but higher risk of mortality without unplanned readmission.

CONCLUSION

Interventions aimed at reducing admissions should consider adults living with mental disorders such as anxiety or dementia to improve healthcare delivery and health outcomes for individuals living with COPD.

Risks of mental disorders among inpatients with burn injury: A nationwide cohort study

OBJECTIVE

This investigation identified the association between burn injuries and the risk of mental disorders in patients with no documented pre-existing psychiatric comorbidities. We also examined the relationship of injury severity and the types of injury with the likelihood of receiving new diagnoses of mental disorders.

METHODS

This population-based retrospective cohort study used administrative data extracted from the Taiwanese National Health Insurance Research Database (NHIRD) between 2000 and 2013. In total, 10,045 burn survivors were matched with a reference cohort of 40,180 patients without burn injuries and were followed to determine if any mental disorder was diagnosed. Patients diagnosed with mental disorders in the five years before study initiation were excluded to ensure incident diagnoses throughout the research duration. Generalized estimating equations in Cox proportional hazard regression models were used for data analysis.

RESULTS

In general, burn injury survivors have a 1.21-fold risk of being diagnosed with new mental disorders relative to patients without burn injuries. Total body surface area (TBSA) of ≧ 30% (aHR: 1.49, 95% CI: 1.36-1.63) and third- or fourth-degree burns (aHR: 1.49, 95% CI: 1.37-1.63) had a significantly greater risk of being diagnosed with mental disorders in comparison to the reference cohort. Patients TBSA 10-29% (aHR: 0.85, 95% CI: 0.77-0.93) and first- or second-degree burn victims (aHR: 0.89, 95% CI: 0.81-0.97) had relatively lower risk of mental disorders than the reference cohort.

CONCLUSION

Burn injuries were associated with an increased risk of mental disorders. Additional research in this field could elucidate this observation, especially if the inherent limitations of the NHIRD can be overcome.

Depressive and anxiety disorders and antidepressant prescriptions among insured children and young adults with congenital adrenal hyperplasia in the United States

Background

Dysfunction in the hypothalamic-pituitary-adrenal axis has been associated with depressive and anxiety disorders. Little is known about the risk for these disorders among individuals with congenital adrenal hyperplasia (CAH), a form of primary adrenal insufficiency.

Objective

We investigated the prevalence of depressive and anxiety disorders and antidepressant prescriptions in two large healthcare databases of insured children, adolescents, and young adults with CAH in the United States.

Methods

We conducted a retrospective cohort study using administrative data from October 2015 through December 2019 for individuals aged 4-25 years enrolled in employer-sponsored or Medicaid health plans.

Results

Adjusting for age, the prevalence of depressive disorders [adjusted prevalence ratio (aPR) = 1.7, 95% confidence interval (CI): 1.4-2.0, p<0.001], anxiety disorders [aPR = 1.7, 95% CI: 1.4-1.9, p<0.001], and filled antidepressant prescriptions [aPR = 1.7, 95% CI: 1.4-2.0, p<0.001] was higher among privately insured youth with CAH as compared to their non-CAH peers. Prevalence estimates were also higher among publicly insured youth with CAH for depressive disorders [aPR = 2.3, 95% CI: 1.9-2.9, p<0.001], anxiety disorders [aPR = 2.0, 95% CI: 1.6-2.5, p<0.001], and filled antidepressant prescriptions [aPR = 2.5, 95% CI: 1.9-3.1, p<0.001] as compared to their non-CAH peers.

Conclusions

The elevated prevalence of depressive and anxiety disorders and antidepressant prescriptions among youth with CAH suggests that screening for symptoms of depression and anxiety among this population might be warranted.

A national multiple baseline cohort study of mental health conditions in early adolescence and subsequent educational outcomes in New Zealand

Young people experiencing mental health conditions are vulnerable to poorer educational outcomes for many reasons, including: social exclusion, stigma, and limited in-school support. Using a near-complete New Zealand population administrative database, this prospective cohort study aimed to quantify differences in educational attainment (at ages 15-16 years) and school suspensions (over ages 13-16 years), between those with and without a prior mental health condition. The data included five student cohorts, each starting secondary school from 2013 to 2017 respectively (N = 272,901). Both internalising and externalising mental health conditions were examined. Overall, 6.8% had a mental health condition. Using adjusted modified Poisson regression analyses, those with prior mental health conditions exhibited lower rates of attainment (IRR 0.87, 95% CI 0.86-0.88) and higher rates of school suspensions (IRR 1.63, 95% CI 1.57-1.70) by age 15-16 years. Associations were stronger among those exhibiting behavioural conditions, compared to emotional conditions, in line with previous literature. These findings highlight the importance of support for young people experiencing mental health conditions at this crucial juncture in their educational pathway. While mental health conditions increase the likelihood of poorer educational outcomes, deleterious outcomes were not a necessary sequalae. In this study, most participants with mental health conditions had successful educational outcomes.

Risks of mental disorders among intensive care unit survivors: A nationwide cohort study in Taiwan

OBJECTIVE

This study aimed to investigate the risk of mental disorders among the intensive care unit (ICU) survivors compared with the hospitalized non-ICU and non-hospitalized patients.

METHOD

We extracted data from the Taiwanese National Health Insurance Research Database (NHIRD) to conduct a retrospective cohort study. Multivariate Cox proportional hazard regression models were used to analyze the data. Identified from the NHIRD, we matched 15,918 patients with ICU admissions, 63,672 patients without any inpatient admission (non-inpatient department [non-IPD] cohort), and 63,672 patients admitted to a general ward but not the ICU (non-ICU cohort). The patient records were extracted between the periods of 2000-2015 to identify any occurrence of mental disorders.

RESULTS

During the study period, the overall risk of mental disorder diagnosis was 1.68-fold higher in the ICU cohort than the non-IPD cohort (95% confidence interval (CI): 1.23-1.89, P < 0.001). Alternatively, there were no differences in risks for any mental disorders between the ICU and non-ICU cohorts.

CONCLUSION

Both admissions to the ICU and the general ward cohorts were associated with a higher risk of any mental disorders compared to the general population. Further clinical studies are warranted to confirm this association due to residual or unmeasured risk factors.

Perceived Need for Mental Health Care and Associated Factors and Outcomes in Older Adults Consulting in Primary Care

OBJECTIVE

To assess the individual and health system factors and health-related outcomes associated with perceived need for mental health care in older adults consulting in primary care.

METHOD

This longitudinal cohort study was conducted among 771 cognitively intact older adults aged ≥65 years recruited in primary care practices in Quebec between 2011 and 2013 and followed 4 years later. Predisposing, enabling and need factors were based on Andersen's framework on help-seeking behaviors. Health-related outcomes included course of common mental disorders (CMDs), change in quality of life and societal costs. Perceived need for care (PNC) was categorized as no need, met and unmet need. Multinomial regression analyses were conducted to assess the association between study variables and PNC in the overall and the subsample of participants with a CMD at baseline.

RESULTS

As compared with individuals reporting no need, those with an unmet need were more likely to have cognitive decline and lower continuity of care; while those with a met need were more likely to report decreased health-related quality of life. As compared with individuals with an unmet need, those reporting a met need were more likely to report ≥ 3 physical diseases and an incident and persistent CMD, and less likely to show cognitive decline. In participants with a CMD, individuals reporting a met as compared with no need were more likely to be categorized as receiving minimally adequate care and a persistent CMD. Need for care was not associated with societal costs related to health service use.

CONCLUSIONS

Overall, physicians should focus on individuals with cognitive impairment and lower continuity of care which was associated with unmet mental health need. Improved follow-up in these populations may improve health care needs and outcomes.

Characterizing mental health related service contacts in children and youth: a linkage study of health survey and administrative data

BACKGROUND

To inform the provision and organization of care, and to improve equitable access to mental health services for children and youth, we must first characterize the children and youth being served, taking into consideration factors related to mental health need. Our objective was to use a population-based survey linked with health administrative data to estimate mental health related contacts and determine socio-demographic correlates, after adjusting for factors related to mental health need.

METHODS

Data from the 2014 Ontario Child Health Study (OCHS) were linked at the individual level to health administrative databases from Ontario's Ministry of Health and Long-Term Care (MOHLTC). Mental health related service contacts were identified in the 6-months prior to the OCHS survey date. Service contacts with physicians were obtained from health administrative data, and non-physician service contacts from survey data (parent-report).

RESULTS

21.7% of Ontarian children (4-11 years) and youth (12-17 years) had at least one mental health related contact in the 6-months prior to their OCHS survey date (18.8% non-physician, 8.0% physician, 5.2% both). Children and youth contacting both physician and non-physician services (ref. contact with physician or non-physician services alone) had higher mean symptom ratings of mental disorders across all classes of disorder. After adjusting for total symptom ratings, children and youth with immigrant parent(s) (ref. non-immigrant) (Prevalence Ratio: 0.65, 95% CI 0.55, 0.75) were less likely to have any mental health related service contact.

CONCLUSIONS

Results indicate that children and youth with the highest mental health symptom ratings are more likely to have contact with multiple providers across sectors. As such, the coordination of care across and within sectors are critical components of mental health related services for children and youth. Our results indicate that the greatest disparities in mental health related service contacts may exist for children and youth with immigrant parent(s) and that targeted outreach efforts are required to reduce barriers to care and improve equitable access to mental health related services for children and youth in Ontario.

Estimating prevalence of child and youth mental disorder and mental health-related service contacts: a comparison of survey data and linked administrative health data

AIMS

Prevalence estimates of child and youth mental disorder and mental health-related service contacts are needed for policy formulation, research, advocacy and resource allocation. Our aim is to compare prevalence estimates of child and youth mental disorder and mental health-related service contacts derived from general population survey data v. linked administrative health data.

METHODS

Provincially representative 2014 Ontario Child Health Study data were linked to administrative health records for 5563 children and youth aged 4-17 in Ontario. Emotional disorders (mood and anxiety) and attention-deficit/hyperactivity disorder were assessed using a standardised diagnostic interview in the survey and using diagnostic codes in administrative health data. Physician-based mental health-related service contacts were assessed using parent self-reports from the survey and administrative data related to mental health-related diagnostic codes. Prevalence estimates were calculated and compared based on one-sample z-tests and ratios of survey data to administrative data-based prevalence. Sensitivity, specificity and agreement between classifications were compared using κ. Prevalence estimates were calculated by age, sex and geography sub-groups and consistent group differences across data source were counted.

RESULTS

Disorder prevalence and service contact estimates were significantly higher in survey data in all cases, except for mood disorder. Ratios of survey data to administrative data-based prevalence varied, ranging from 0.80 (mood) to 11.01 (attention-deficit/hyperactivity disorder). Specificity was high (0.98-1.00), sensitivity was low (0.07-0.41) and agreement ranged from slight (κ = 0.13) to moderate (κ = 0.46). Out of 18 sub-group difference comparisons, half were non-significant in either data source. In the remaining nine comparisons, the only significant differences between groups that were consistent across data source were for sex-based differences (attention-deficit/hyperactivity disorder and service contacts). There were no consistent age- or geography-based differences in prevalence across data sources.

CONCLUSIONS

Our findings suggest that conclusions drawn about prevalence, service contacts and sub-group differences in these estimates are dependent on data source. Further research is needed to understand who and what is being captured by each source. Researchers should conduct data linkage where possible to access and compare multiple sources of information.

A prospective observational study exploring the association of comorbid chronic health conditions with total healthcare expenditure in people with mental health conditions in an Asian setting

BACKGROUND

It is pertinent to focus on chronic medical condition (CMC) comorbidity with mental health conditions (MHC) as their co-occurrence has significant cost and health implications. However, current evidence on co-occurrence of MHC with CMC is mixed and mostly from Western settings. Therefore, our study aimed to (i) describe the association between MHC and total healthcare expenditure, (ii) examine the association between CMC and total healthcare expenditure and (iii) examine determinants of total and different types of healthcare expenditure in respondents with and without MHC in an Asian setting.

METHODS

The data from Singapore Mental Health Study (SMHS) 2016, a nationwide epidemiological survey, were linked with the National claims record (from 2017 to 2019). Multivariable Generalized Linear Models (GLM) were used to examine the association between MHC and total and different types of healthcare expenditure.

RESULTS

A total of 3077 survey respondents were included in current analysis. Respondents with MHC had a lower mean age of 38.6 years as compared to those without MHC (47.1 years). MHC was associated with increased total healthcare expenditure after adjusting for covariates (b = 0.508, p < 0.05). In respondents with MHC, presence of CMC increased the total healthcare expenditure by 35% as compared to 40% increase in those without MHC. Interestingly, 35-49 years age group with MHC had almost 3 times higher total healthcare expenditure and 7.5 times higher inpatient expenditure as compared to the 18-34 years age group.

CONCLUSION

Our study highlights variations in association of CMC and age with total healthcare expenditure in those with versus without MHC in an Asian setting. Practical recommendations include appropriate planning and resource allocation for early diagnosis and management of MHC, proactive screening for CMC in those with MHC and addressing the dual issues of treatment gap and stigma to facilitate early help seeking and prevent episodic, costly healthcare utilization.

Reading Between the Lines: A Pursuit of Estimating the Population Prevalence of Mental Illness Using Multiple Data Sources

Population-based prevalence estimates of mental illness are foundational to health service planning, strategic resource allocation, and the development and evaluation of public mental health policy. Generating valid, reliable, and context-specific population-level estimates is of utmost importance and can be achieved by combining various data sources. This pursuit benefits from the right combination of theory, applied statistics, and the conceptualization of available data sources as a collective rather than in isolation. We believe there is a need to read between the lines as theory, methodology, and context (i.e., strengths and limitations) are what determines the meaningfulness of a combined prevalence estimate. Currently lacking is a gold standard approach to combining estimates from multiple data sources. Here, we compare and contrast various approaches to combining data and introduce an idea that leverages the strengths of pre-existing individually linked population-based survey and health administrative data sources currently available in Canada.

ENIGMA-anxiety working group: Rationale for and organization of large-scale neuroimaging studies of anxiety disorders

Anxiety disorders are highly prevalent and disabling but seem particularly tractable to investigation with translational neuroscience methodologies. Neuroimaging has informed our understanding of the neurobiology of anxiety disorders, but research has been limited by small sample sizes and low statistical power, as well as heterogenous imaging methodology. The ENIGMA-Anxiety Working Group has brought together researchers from around the world, in a harmonized and coordinated effort to address these challenges and generate more robust and reproducible findings. This paper elaborates on the concepts and methods informing the work of the working group to date, and describes the initial approach of the four subgroups studying generalized anxiety disorder, panic disorder, social anxiety disorder, and specific phobia. At present, the ENIGMA-Anxiety database contains information about more than 100 unique samples, from 16 countries and 59 institutes. Future directions include examining additional imaging modalities, integrating imaging and genetic data, and collaborating with other ENIGMA working groups. The ENIGMA consortium creates synergy at the intersection of global mental health and clinical neuroscience, and the ENIGMA-Anxiety Working Group extends the promise of this approach to neuroimaging research on anxiety disorders.

Primary Care and Access to Mental Health Consultations among Immigrants and Nonimmigrants with Mood or Anxiety Disorders: Soins de première ligne et accès aux consultations en santé mentale chez les immigrants et les non-immigrants souffrant de troubles de l'humeur ou anxieux

OBJECTIVE

To examine the association between usual place of primary care and mental health consultation among those with self-reported mood or anxiety disorders. We also describe access to mental health services among people who are recent immigrants, longer-term immigrants, and nonimmigrants and determine whether the association with place of primary care differs by immigration group.

METHODS

We used data from the Canadian Community Health Survey (2015 to 2016) to identify a representative sample of individuals with self-reported mood or anxiety disorders. We used logistic regression, with models stratified by immigration group (recent, longer-term, nonimmigrant), to examine the association between usual place of primary care and receiving a mental health consultation in the previous 12 months.

RESULTS

Higher percentages of recent and longer-term immigrants see a doctor in solo practice, and a higher percentage of recent immigrants use walk-in clinics as a usual place of care. Compared with people whose usual place of care was a community health center or interdisciplinary team, adjusted odds of a mental health consultation were significantly lower for people whose usual place of care was a solo practice doctor's office (AOR = 0.71; 95% CI, 0.62 to 0.82), a walk-in clinic (AOR = 0.75; 95% CI, 0.66 to 0.85), outpatient clinic/other place (AOR = 0.72 95% CI, 0.59 to 0.88), and lowest among people reporting no usual place other than the emergency room (AOR = 0.59; 95% CI, 0.51 to 0.67). Differences in access to mental health consultations by usual place of primary care were greatest among immigrants, especially recent immigrants.

CONCLUSIONS

People with mood or anxiety disorders who have access to team-based primary care are more likely to report mental health consultations, and this is especially true for immigrants. Expanded access to team-based primary health care may help reduce barriers to mental health services, especially among immigrants.

A Bayesian approach to estimating the population prevalence of mood and anxiety disorders using multiple measures

AIMS

There is currently no universally accepted measure for population-based surveillance of mood and anxiety disorders. As such, the use of multiple linked measures could provide a more accurate estimate of population prevalence. Our primary objective was to apply Bayesian methods to two commonly employed population measures of mood and anxiety disorders to make inferences regarding the population prevalence and measurement properties of a combined measure.

METHODS

We used data from the 2012 Canadian Community Health Survey - Mental Health linked to health administrative databases in Ontario, Canada. Structured interview diagnoses were obtained from the survey, and health administrative diagnoses were identified using a standardised algorithm. These two prevalence estimates, in addition to data on the concordance between these measures and prior estimates of their psychometric properties, were used to inform our combined estimate. The marginal posterior densities of all parameters were estimated using Hamiltonian Monte Carlo (HMC), a Markov Chain Monte Carlo technique. Summaries of posterior distributions, including the means and 95% equally tailed posterior credible intervals, were used for interpretation of the results.

RESULTS

The combined prevalence mean was 8.6%, with a credible interval of 6.8-10.6%. This combined estimate sits between Bayesian-derived prevalence estimates from administrative data-derived diagnoses (mean = 7.4%) and the survey-derived diagnoses (mean = 13.9%). The results of our sensitivity analysis suggest that varying the specificity of the survey-derived measure has an appreciable impact on the combined posterior prevalence estimate. Our combined posterior prevalence estimate remained stable when varying other prior information. We detected no problematic HMC behaviour, and our posterior predictive checks suggest that our model can reliably recreate our data.

CONCLUSIONS

Accurate population-based estimates of disease are the cornerstone of health service planning and resource allocation. As a greater number of linked population data sources become available, so too does the opportunity for researchers to fully capitalise on the data. The true population prevalence of mood and anxiety disorders may reside between estimates obtained from survey data and health administrative data. We have demonstrated how the use of Bayesian approaches may provide a more informed and accurate estimate of mood and anxiety disorders in the population. This work provides a blueprint for future population-based estimates of disease using linked health data.

Measures of depression and incident type 2 diabetes in a community sample

PURPOSE

The purpose of this study was to estimate associations between distinct measures of depression and incident type 2 diabetes.

METHODS

Our sample consisted of 30,360 community-dwelling adults aged 40 to 69 in Canada. Depression was defined as elevated depressive symptoms using the Patient Health Questionnaire 9, diagnoses of depression in administrative data, or antidepressant use from a medication inventory. Type 2 diabetes was ascertained in administrative data over up to 7 years of follow-up. Cox proportional hazards models were used to estimate associations between different measures of depression and incident diabetes.

RESULTS

In separate models, elevated depressive symptoms were associated with a 17% increased risk of type 2 diabetes (hazard ratio (HR) 1.17, 95% confidence interval (CI) 1.02-1.34), diagnoses of depression were associated with a 20% increased risk (HR 1.20, 95% CI 0.94-1.52), and antidepressant use was associated with a 19% increased risk (HR 1.19, 95% CI 1.01-1.41). When examining combinations of measures in the same model, depressive symptoms paired with antidepressant use and depressive symptoms paired with diagnoses of depression were associated with the highest risk of type 2 diabetes.

CONCLUSIONS

Various measures of depression and combinations of measures can be used to identify older adults at higher risk of type 2 diabetes in research and public health.