Quality Improvement Framework to Examine Health Care Disparities in Behavioral Emergency Management in the Inpatient Medical Setting: A Consultation-Liaison Psychiatry Health Equity Project

BACKGROUND

De-escalation of behavioral emergencies in the inpatient medical setting may involve restrictive clinical interventions that directly challenge patient autonomy.

OBJECTIVE

We describe a quality improvement framework used to examine associations between patient characteristics and behavioral emergency de-escalation strategies. This project may inform other Consultation-Liaison Psychiatry teams seeking to promote equity in care.

METHODS

We examined behavioral emergency response team (BERT) management at an urban, tertiary-care medical center in the United States over a 3-year period. BERT data from an existing dataset were combined with demographic information from the hospital's electronic medical record. Race and ethnic identities were categorized as Black, Hispanic, Asian, White, and unknown. BERT events were coded based on the most restrictive intervention utilized per unique patient. Cross-tabulations and adjusted odds ratios from multivariate logistic regression were used to identify quality improvement targets in this exploratory project.

RESULTS

The sample included N = 902 patients and 1532 BERT events. The most frequent intervention reached was verbal de-escalation (n = 419 patients, 46.45%) and the least frequent was 4-point restraints (n = 29 patients, 3.2%). Half of BERT activations for Asian and a third for Hispanic patients required interpreter services. Anxiety and cognitive disorders and 2 BERT interventions, verbal de-escalation, and intramuscular/intravenous/ medications, were significantly associated with race/ethnic category. The most restrictive intervention for BERTs involving Black and Asian patients were verbal de-escalation (60.1%) and intramuscular/intravenous(53.7%), respectively. These proportions were higher compared with other race/ethnic groups. There was a greater percentage of patients from the unknown (6.3%) and Black (5.9%) race/ethnic groups placed in 4-point restraints compared with other groups (3.2%) that did not reach statistical significance. A logistic regression model predicting 4-point restraints indicated that younger age, multiple BERTs, and violent behavior as a reason for BERT activation, but not race/ethnic group, resulted in significantly higher odds.

CONCLUSIONS

This project illustrates that a quality improvement framework utilizing existing clinical data can be used to engage in organizational introspection and identify potential areas of bias in BERT management. Our findings suggest opportunities for further exploration, enhanced education, and programmatic improvements regarding BERT intervention; 4-point restraints; interpreter services; and the influence of race on perception of psychopathology.

Application of reflectance spectroscopy to identify maize genotypes and aflatoxin levels in single kernels

Spectroscopy is a rapid, non-destructive, and low-cost analytical technique that has the potential to complement more resource-intensive analytical methods. We explored the use of spectral methods to differentiate maize genotypes and assess aflatoxin (AF) contamination in maize kernels. We compared the performance of two instruments: a research-grade ultraviolet-visible-near infrared (UV-Vis-NIR) spectrometer that measures reflectance from 304 -1,085 nm, and a miniaturised NIR spectrometer that measures reflectance from 740-1,070 nm. Both systems were used to predict AF levels in maize kernels from a single genotype and across 10 genotypes, and to predict genotype for the latter. A partial least square discriminant analysis model was trained on 70% of the kernels and tested on the remaining 30%. The classification accuracy for 10 maize genotypes was 71-72% using the UV-Vis-NIR instrument on 1,170 kernels, and 65-66% using the NIR device on 740 kernels. The classification accuracy for 247 AF-contaminated kernels of a single genotype using the UV-Vis-NIR instrument was 71, 82, and 92% for AF thresholds of 20, 100, and 1000 μg/kg, respectively. Using the same spectrometer on 872 kernels from 10 genotypes, AF classification accuracy was 67, 90, and 95% in validation sets for AF thresholds of 20, 100, and 1000 μg/kg, respectively. The UV-Vis-NIR instrument and the NIR device had similar classification accuracies for AF thresholds of 100 and 1000 μg/kg, whereas the NIR device had higher accuracy for the AF threshold of 20 μg/kg. Reflectance spectroscopy outperformed visual sorting and the bright greenish yellow fluorescence test in identifying AF levels. Applying spectral analysis to estimate mycotoxin levels and to identify maize genotypes could contribute to regional toxin surveillance and action efforts. Further, using AF-associated spectral features for grain sorting can reduce AF exposure.

AB0556 CHARACTERISTICS OF PATIENTS DIAGNOSED WITH UNDIFFERENTIATED CONNECTIVE TISSUE DISEASE

Background

Patients with undifferentiated connective tissue disease (UCTD) struggle with physical symptoms as well as diagnostic uncertainty.1 UCTD diagnosis requires exclusion of other connective tissue diseases (CTD). Prior studies use variable definitions of UCTD that do not account for updated classification criteria thus limiting generalizability.

Objectives

We identified characteristics associated with rheumatologist-diagnosed UCTD, applied strict exclusion criteria, and compared UCTD patients to those with criteria-defined CTD.

Methods

We recruited patients ≥18 years old seen between 2018-2022 who had rheumatologist-diagnosed UCTD with positive ANA and ≥1 sign/symptom of a CTD. We reviewed medical records to identify those who fulfilled ACR/EULAR-endorsed classification criteria for SLE, RA, SSc, Primary Sjögren’s, Idiopathic Inflammatory Myopathy, and 2006 Revised Sapporo Criteria for APS. We compared sociodemographic, clinical, serologic, and treatment variables between UCTD and CTD using chi-square, Fisher’s exact, and t-tests.

Results

Of 89 patients with rheumatologist-diagnosed UCTD (mean age 49.0 ± 13.7 years, 97.8% female, 66.3% White), 59 (66.3%) had UCTD and 30 (33.7%) had criteria-defined CTD (27 SLE, 3 SLE and RA, 1 RA, and 1 APS).

Patients in both groups had similar non-criteria manifestations, most commonly arthralgia (89.8% UCTD vs. 83.3% CTD, p=0.50) and fatigue (55.9% UCTD vs. 73.3% CTD, p=0.17). Compared to patients with CTD, those with UCTD were less likely to have nonerosive arthritis (27.1% vs. 56.7%, p=0.01) (Table 1).

Table 1.

Characteristics of Patients with UCTD or Criteria-Defined CTD

UCTD1 (n=57), N (%)CTD2 (n=32), N (%)p-valuesClinical3,4•,4nicalN (%))cs of Pa16 (27.1)17 (56.7)0.01•.0156.7) (%))cs of Patients with UCTD or Criteria31 (52.5)18 (60.0)0.65•.6560.0) (%))cs of Patient7 (11.9)4 (13.3)1.0•.013.3)) (%))cs of Patients with UCTD or Criteria-Defined C27 (45.8)14 (46.7)1.0•.0(46.7) (%))cs of Patien24 (40.7)11 (36.7)0.82Serology3•erology) (%))cs of Patients with UCTD or Criteria-Defined CTDth19 (32.2)19 (63.3)<0.01•0.013.3) (%))cs of Patien9 (15.3)13 (4.3)<0.01•0.01.3)) (%))22 (37.3)25 (83.3)<0.01•0.013.3) (%))cs of Patients w10 (16.9)6 (20.0))0.77•.770.0)) (%))cs of Patients with UCTD or Criteria-D6 (10.2)2 (6.7)0.71•.71.7))) (%))cs of Patients with UCTD or Criteria-Defined CTDther CTDs. Our fi18 (30.5)10 (33.3)0.81•.8133.3) (%))cs11 (18.6)6 (20.0)1.0

1. Do not fulfill ACR/EULAR classification criteria for SLE, RA, SSc, PSS, IIM, APS.

2. Diagnosed with UCTD and fulfill ≥1 set of listed CTD classification criteria.

3. Defined per listed classification criteria

4. Criteria with n≤5: fever, proteinuria/cellular casts, pulmonary hypertension, interstitial lung disease, dysphagia/esophageal dysmotility

Patients with UCTD were less likely than those with CTD to have any hematologic manifestation (lymphopenia, leukopenia, thrombocytopenia, or hemolytic anemia) (p=0.02), anti-dsDNA or anti-Smith antibodies (p<0.01), or hypocomplementemia (p<0.01). The frequency of RA, Sjogren’s, and APS-related serologies did not differ between groups (Table 1).

Compared to those with CTD, UCTD patients were less likely to have ever received systemic corticosteroids (71.2% vs. 96.7%, p<0.01); ever use of any disease-modifying antirheumatic drug (DMARD) was similar (35.6% vs. 46.7%, p=0.36).

Conclusion

Among patients diagnosed with UCTD, 66.3% met a stringent definition. Compared to those with criteria-defined CTD, UCTD patients had lower frequency of arthritis, hematologic abnormalities, SLE-specific antibodies, and hypocomplementemia. While use of DMARDs did not differ, UCTD patients were less likely to use systemic corticosteroids.

Rheumatologists diagnose UCTD even when criteria are met for other CTDs. Our findings suggest UCTD is nonetheless a distinct clinical entity; more rigorous characterization will enable generalizable prognostic and therapy trials.

References

[1]Siegel CH, et al. J Clin Rheumatol 2021 Mar 5. doi: 0.1097/RHU. 0000000000001714

Disclosure of Interests

None declared

AB1388 CHARACTERISTICS ASSOCIATED WITH MYCHART ACTIVATION AND REASONS FOR NON-USE AMONG RHEUMATOLOGY CLINIC PATIENTS

Background

Electronic patient portals, such as MyChart by Epic, allow patients to view their medical records, request medication refills, and communicate with their health care providers. Factors associated with portal use include being younger, female, White, having private insurance, and having chronic illness.1

The Hospital for Special Surgery (HSS) rheumatology clinic serves primarily patients with public insurance (Medicaid, which insures low-income adults, and Medicare, which insures adults >65 years old and those with eligible chronic illness/disability). These patients may be at increased risk for poor health outcomes due to clinical and socioeconomic factors and they are less likely to use MyChart than patients seen in HSS private practices. Increased MyChart use may benefit this high-risk group and improve health equity.

Objectives

This study aims to identify characteristics associated with MyChart activation and reasons for its underutilization among patients seen in the HSS rheumatology clinic.

Methods

We identified all patients aged ≥ 18 years seen in the HSS rheumatology clinic at least twice between January 15, 2019 and January 14, 2021, with at least one visit occurring between July 15, 2020 and January 14, 2021. MyChart status (active vs. inactive) and sociodemographic and clinical variables were extracted from the electronic health record (EHR). We used chi-square tests and t-tests to compare characteristics between patients with and without active MyChart; p-value <0.05 was considered significant (Table 1). In addition, 10 rheumatology fellows were prompted on 3 occasions over 6 weeks to informally survey their own clinic patients with inactive MyChart accounts by asking: “What is your primary reason for not using MyChart?”.

Table 1.

Baseline Characteristics of Hospital for Special Surgery Rheumatology Clinic Patients Stratified by MyChart Activation Status

MyChart Active (N=726)MyChart Inactive (N=501)p-valueAge, yrs - Mean (SD)50.3 (15.6)60.0 (15.3)<0.01Female - N (%)601 (82.8)412 (82.2)0.80Race - N (%)0.37•White/Caucasian275 (37.9)184 (36.7)•Black/African American185 (25.5)135 (27.0)•Asian58 (8.0)25 (5.0)•Other189 (26.0)145 (28.9)•Unknown18 (2.5)11 (2.2)Ethnicity - N (%)0.27•Hispanic/Latino294 (40.5)226 (45.1)•Not Hispanic/Latino422 (58.1)268 (53.5)•Unknown10 (1.4)7 (1.4)Preferred language - N (%)<0.01•English611 (84.2)332 (66.3)•Spanish72 (9.9)134 (26.8)•Other43 (5.9)35 (7.0)Needs interpreter - N (%)106 (14.6)156 (31.1)<0.01

Results

There were 1,227 patients included (93.2% with Medicaid and/or Medicare insurance). Compared to patients with inactive MyChart (42.9%), those with active MyChart (57.1%) were younger (50.3 ± 15.6 vs. 60.0 ± 15.3 years, p<0.01). The majority of patients in both groups was female. There was no significant difference in race or ethnicity between groups. Patients without active MyChart were less likely to identify English as their preferred language and more likely to require an interpreter for clinic visits (Table 1).

The rheumatology fellows collectively asked 16 clinic patients with inactive MyChart their primary reason for non-use. The most commonly cited reason was difficulty using the technology (n=8; 50.0%); others included visual impairment (n=2; 12.5%), preference for using the telephone (n=2; 12.5%), concerns about security/spam (n=2; 12.5%), not having a smart phone/computer (n=1; 6.3%), and having a language barrier (n=1; 6.3%).

Conclusion

In the HSS rheumatology clinic, patients who did not have active MyChart were older and less likely to be English-speaking than those who did. The most common barrier to MyChart use reported by patients was difficulty with the technology. This pilot data suggests a need for interventions to facilitate patient-provider communication, specifically targeting older and non-English-speaking rheumatology clinic patients, with the goal of advancing patient engagement and health equity.

References

[1]Ancker JS, et al. J Gen Intern Med. 2011 June 7. doi: 10.1007/s11606-011-1749-y.

Disclosure of Interests

Caroline Siegel: None declared, Anne Bass: None declared, Deanna Jannat-Khah Shareholder of: AstraZeneca, Walgreens, Cytodyn, Omar Bruce: None declared, Justin Olmscheid: None declared, Nilasha Ghosh: None declared, Sebastian E. Sattui Grant/research support from: AstraZeneca, Monica Schwartzman: None declared, Diane Zisa: None declared, Amit Lakhanpal: None declared, Kevin Yip: None declared, Linda Yue: None declared, Juliet Aizer Grant/research support from: Pfizer and Lilly, Jessica Berman: None declared

A likely responder approach for the analysis of randomized controlled trials

OBJECTIVE

To further the precision medicine goal of tailoring medical treatment to individual patient characteristics by providing a method of analysis of the effect of test treatment, T, compared to a reference treatment, R, in participants in a RCT who are likely responders to T.

METHODS

Likely responders to T are individuals whose expected response at baseline exceeds a prespecified minimum. A prognostic score, the expected response predicted as a function of baseline covariates, is obtained at trial completion. It is a balancing score that can be used to match likely responders randomized to T with those randomized to R; the result is comparable treatment groups that have a common covariance distribution. Treatments are compared based on observed outcomes in this enriched sample. The approach is illustrated in a RCT comparing two treatments for opioid use disorder.

RESULTS

A standard statistical analysis of the opioid use disorder RCT found no treatment difference in the total sample. However, a subset of likely responders to T were identified and in this group, T was statistically superior to R.

CONCLUSION

The causal treatment effect of T relative to R among likely responders may be more important than the effect in the whole target population. The prognostic score function provides quantitative information to support patient specific treatment decisions regarding T furthering the goal of precision medicine.

CRF serum levels differentiate PTSD from healthy controls and TBI in military veterans

Background and Objective

Posttraumatic stress disorder (PTSD) is a serious and frequently debilitating psychiatric condition that can occur in people who have experienced traumatic stressors, such as war, violence, sexual assault and other life‐threatening events. Treatment of PTSD and traumatic brain injury (TBI) in veterans is challenged by diagnostic complexity, partially due to PTSD and TBI symptoms overlap and to the fact that subjective self‐report assessments may be influenced by a patient's willingness to share their traumatic experiences and resulting symptoms. Corticotropin‐releasing factor (CRF) is one of the main mediators of hypothalamic pituitary adrenal (HPA)‐axis responses in stress and anxiety.

Methods and Results

We analyzed serum CRF levels in 230 participants including heathy controls (64), and individuals with PTSD (53), TBI (70) or PTSD + TBI (43) by enzyme immunoassay (EIA). Significantly lower CRF levels were found in both the PTSD and PTSD + TBI groups compared to healthy control (PTSD vs. Controls: P = 0.0014, PTSD + TBI vs. Controls: P = 0.0011) and chronic TBI participants (PTSD vs. TBI: P < 0.0001, PTSD + TBI vs. TBI: P < 0.0001), suggesting a PTSD‐related mechanism independent from TBI and associated with CRF reduction. CRF levels negatively correlated with PTSD severity on the Clinically Administered PTSD Scale (CAPS‐5) scale in the whole study group.

Conclusions

Hyperactivation of the HPA axis has been classically identified in acute stress. However, the recognized enhanced feedback inhibition of the HPA axis in chronic stress supports our findings of lower CRF in PTSD patients. This study suggests that reduced serum CRF in PTSD should be further investigated. Future validation studies will establish if CRF is a possible blood biomarker for PTSD and/or for differentiating PTSD and chronic TBI symptomatology.

The HPA axis is activated under acute stress conditions, but an enhanced feedback inhibition may be prevalent in chronic stress conditions such as PTSD.

We observed a reduction in serum CRF levels in veterans with PTSD and PTSD + TBI, but not in veterans with chronic TBI alone.

A serum CRF reduction may be indicative of CNS mechanisms specific to PTSD and should be further evaluated as a possible peripheral biomarker.

A general iterative clustering algorithm

The quality of a cluster analysis of unlabeled units depends on the quality of the between units dissimilarity measures. Data‐dependent dissimilarity is more objective than data independent geometric measures such as Euclidean distance. As suggested by Breiman, many data driven approaches are based on decision tree ensembles, such as a random forest (RF), that produce a proximity matrix that can easily be transformed into a dissimilarity matrix. An RF can be obtained using labels that distinguish units with real data from units with synthetic data. The resulting dissimilarity matrix is input to a clustering program and units are assigned labels corresponding to cluster membership. We introduce a general iterative cluster (GIC) algorithm that improves the proximity matrix and clusters of the base RF. The cluster labels are used to grow a new RF yielding an updated proximity matrix, which is entered into the clustering program. The process is repeated until convergence. The same procedure can be used with many base procedures such as the extremely randomized tree ensemble. We evaluate the performance of the GIC algorithm using benchmark and simulated data sets. The properties measured by the Silhouette score are substantially superior to the base clustering algorithm. The GIC package has been released in R: https://cran.r‐project.org/web/packages/GIC/index.html.

Pre-deployment risk factors for PTSD in active-duty personnel deployed to Afghanistan: a machine-learning approach for analyzing multivariate predictors

Active-duty Army personnel can be exposed to traumatic warzone events and are at increased risk for developing post-traumatic stress disorder (PTSD) compared with the general population. PTSD is associated with high individual and societal costs, but identification of predictive markers to determine deployment readiness and risk mitigation strategies is not well understood. This prospective longitudinal naturalistic cohort study-the Fort Campbell Cohort study-examined the value of using a large multidimensional dataset collected from soldiers prior to deployment to Afghanistan for predicting post-deployment PTSD status. The dataset consisted of polygenic, epigenetic, metabolomic, endocrine, inflammatory and routine clinical lab markers, computerized neurocognitive testing, and symptom self-reports. The analysis was computed on active-duty Army personnel (N = 473) of the 101st Airborne at Fort Campbell, Kentucky. Machine-learning models predicted provisional PTSD diagnosis 90-180 days post deployment (random forest: AUC = 0.78, 95% CI = 0.67-0.89, sensitivity = 0.78, specificity = 0.71; SVM: AUC = 0.88, 95% CI = 0.78-0.98, sensitivity = 0.89, specificity = 0.79) and longitudinal PTSD symptom trajectories identified with latent growth mixture modeling (random forest: AUC = 0.85, 95% CI = 0.75-0.96, sensitivity = 0.88, specificity = 0.69; SVM: AUC = 0.87, 95% CI = 0.79-0.96, sensitivity = 0.80, specificity = 0.85). Among the highest-ranked predictive features were pre-deployment sleep quality, anxiety, depression, sustained attention, and cognitive flexibility. Blood-based biomarkers including metabolites, epigenomic, immune, inflammatory, and liver function markers complemented the most important predictors. The clinical prediction of post-deployment symptom trajectories and provisional PTSD diagnosis based on pre-deployment data achieved high discriminatory power. The predictive models may be used to determine deployment readiness and to determine novel pre-deployment interventions to mitigate the risk for deployment-related PTSD.

POS0715 QUANTIFYING THE PSYCHOSOCIAL IMPACT OF UNDIFFERENTIATED CONNECTIVE TISSUE DISEASE (UCTD)

Background:

Only half of patients diagnosed with SLE fulfill classification criteria; the rest have “SLE-like” illnesses such as UCTD. SLE patients are known to experience impaired health-related quality of life (HRQoL) and significant anxiety, depression, and fatigue,1 yet the psychosocial aspects of UCTD are less established. In a qualitative study, we found that most UCTD patients had engaged in psychotherapy and felt additional support was needed.2

Objectives:

Using multiple validated instruments, this study aims to quantify the psychosocial impact of UCTD.

Methods:

The Hospital for Special Surgery UCTD and Overlap Registry includes UCTD patients aged ≥ 18 years with ANA ≥ 1:80 and ≥ 1 sign or symptom of rheumatic disease who do not fulfill classification criteria for a defined CTD. We administered the 36-Item Short Form Health Survey (SF-36), General Anxiety Disorder-7 (GAD-7), Beck Depression Inventory (BDI), and Fatigue Severity Scale (FSS) to all patients to assess HRQoL, anxiety, depression, and fatigue. Instruments were scored based on established algorithms and results were summarized using predefined scales and severity thresholds.

Results:

The composite questionnaire was administered to 85 UCTD patients and completed by 75 (97.3% female, 60% white, mean age ± SD 48.8 ± 13.6 years). The SF-36 Physical Component Summary mean score was 37.8 and Mental Component Summary mean score was 41.1. Across the 8 SF-36 subscales, mean scores were lowest for role limitations due to physical health (39.3) and vitality (39.7) and highest for physical functioning (67.2), role limitations due to emotional health (67.1), and mental health (67.1). Approximately half of UCTD patients reported anxiety (GAD-7 ≥ 6); 20% had moderate/severe anxiety (GAD-7 ≥ 10). The prevalence of depression (BDI ≥ 14) was 26.7%; 13.3% had moderate/severe depression (BDI ≥ 20). Fatigue (FSS ≥ 3) was reported by 82.8% of patients (median FSS score of 4.7) [Table 1].

Table 1.

Psychosocial Survey Scores of Patients with Undifferentiated Connective Tissue Disease (n=75)

36-Item Short Form Health Survey (SF-36)Range 1-100 – Mean (SD)*Physical Component Summary∘Physical functioning∘Role-Physical∘Bodily PainoGeneral Health38.2 (11.2)67.2 (26.3)39.3 (46.3)49.5 (22.1)42.9 (21.5)Mental Component Summary∘Vitality∘Social Functioning∘Role-EmotionaloMental Health41.3 (10.7)39.7 (21.7)59.3 (25.9)67.1 (41.9)67.1 (18.3)Generalized Anxiety Disorder-7 (GAD-7)Range 0-21 – N (%)**None [0-5]Mild [6-10]Moderate [11-15]Severe [16-21]38 (50.7)22 (29.3)14 (18.7)1 (1.3)Beck Depression Inventory (BDI)Range 0-63 – N (%)**Minimal [0-13]Mild [14-19]Moderate [20-28]Severe [29-63]55 (73.3)10 (13.3)7 (9.3)3 (4.0)Fatigue Severity Scale (FSS) Range 1-7 – Median (IQR)**4.7 (1.5)

*Higher number indicates better health state. **Higher number indicates greater severity.

Conclusion:

UCTD patients have significantly impaired HRQoL and a high prevalence of anxiety, depression, and fatigue, suggesting substantial psychosocial impact of UCTD comparable to that reported in SLE.3,4 Impaired HRQoL in UCTD is driven to similar degrees by aspects of physical and mental health. In future studies, we will compare age- and sex- matched UCTD to SLE patients and longitudinally evaluate psychosocial metrics alongside clinical trajectories.

References:

[1]Dietz B, Katz P, Dall’Era M, et al. Major depression and adverse patient-reported outcomes in systemic lupus erythematosus: Results from a prospective longitudinal cohort. Arthritis Care Res. 2021;73(1):48-54.

[2]Siegel CH, Kleinman J, Barbhaiya M, et al. The psychosocial impact of undifferentiated connective tissue disease on patient health and well-being: A qualitative study. J Clin Rheumatol. In press.

[3]Gu M, Cheng Q, Wang X, et al. The impact of SLE on health-related quality of life assessed with SF-36: A systemic review and meta-analysis. Lupus. 2019;28(3):371-382.

[4]Zhang L, Fu T, Yin R, Zhang Q, Shen B. Prevalence of depression and anxiety in systemic lupus erythematosus: A systematic review and meta-analysis. BMC Psychiatry. 2017;17(1).

Acknowledgements:

This project was supported by the Barbara Volcker Center for Women and Rheumatic Diseases and the Robin J. Sillau Memorial Research Fund for Connective Tissue Disease. Dr. Barbhaiya is supported by the Rheumatology Research Foundation Investigator Award.

Disclosure of Interests:

None declared

Speech-based markers for posttraumatic stress disorder in US veterans

BACKGROUND

The diagnosis of posttraumatic stress disorder (PTSD) is usually based on clinical interviews or self-report measures. Both approaches are subject to under- and over-reporting of symptoms. An objective test is lacking. We have developed a classifier of PTSD based on objective speech-marker features that discriminate PTSD cases from controls.

METHODS

Speech samples were obtained from warzone-exposed veterans, 52 cases with PTSD and 77 controls, assessed with the Clinician-Administered PTSD Scale. Individuals with major depressive disorder (MDD) were excluded. Audio recordings of clinical interviews were used to obtain 40,526 speech features which were input to a random forest (RF) algorithm.

RESULTS

The selected RF used 18 speech features and the receiver operating characteristic curve had an area under the curve (AUC) of 0.954. At a probability of PTSD cut point of 0.423, Youden's index was 0.787, and overall correct classification rate was 89.1%. The probability of PTSD was higher for markers that indicated slower, more monotonous speech, less change in tonality, and less activation. Depression symptoms, alcohol use disorder, and TBI did not meet statistical tests to be considered confounders.

CONCLUSIONS

This study demonstrates that a speech-based algorithm can objectively differentiate PTSD cases from controls. The RF classifier had a high AUC. Further validation in an independent sample and appraisal of the classifier to identify those with MDD only compared with those with PTSD comorbid with MDD is required.

Data Systems in Mental Health

The proper utilization of data information systems in mental health care can noticeably improve the quality and efficacy of such care. The World Health Organization is in a key position to encourage and assist governments in achieving the fullest possible application of knowledge in the development and utilization of such systems to the benefit of the greatest numbers of the world’s population.

This paper briefly delineates some of the common information needs of the providers of mental health care, discusses the feasibility of automated data systems, and describes some already existing psychiatric information systems. Finally, it proposes ways and means by which the WHO can more efficiently aid its member nations by coordinating efforts in establishing mental health information systems. Recommendations include establishment of an information clearinghouse on data systems, a group coordinating dissemination of this information, a common pool of specialists in the area, and development of regional computing facilities under the auspices of the WHO.

The nonlinear relationship between cerebrospinal fluid Aβ42 and tau in preclinical Alzheimer's disease

Cerebrospinal fluid (CSF) studies consistently show that CSF levels of amyloid-beta 1–42 (Aβ₄₂) are reduced and tau levels increased prior to the onset of cognitive decline related to Alzheimer’s disease (AD). However, the preclinical prediction accuracy for low CSF Aβ₄₂ levels, a surrogate for brain Aβ₄₂ deposits, is not high. Moreover, the pathology data suggests a course initiated by tauopathy contradicting the contemporary clinical view of an Aβ initiated cascade. CSF Aβ₄₂ and tau data from 3 normal aging cohorts (45–90 years) were combined to test both cross-sectional (n = 766) and longitudinal (n = 651) hypotheses: 1) that the relationship between CSF levels of Aβ₄₂ and tau are not linear over the adult life-span; and 2) that non-linear models improve the prediction of cognitive decline. Supporting the hypotheses, the results showed that a u-shaped quadratic fit (Aβ²) best describes the relationship for CSF Aβ₄₂ with CSF tau levels. Furthermore we found that the relationship between Aβ₄₂ and tau changes with age—between 45 and 70 years there is a positive linear association, whereas between 71 and 90 years there is a negative linear association between Aβ₄₂ and tau. The quadratic effect appears to be unique to Aβ₄₂, as Aβ₃₈ and Aβ₄₀ showed only positive linear relationships with age and CSF tau. Importantly, we observed the prediction of cognitive decline was improved by considering both high and low levels of Aβ_42. Overall, these data suggest an earlier preclinical stage than currently appreciated, marked by CSF elevations in tau and accompanied by either elevations or reductions in Aβ₄₂. Future studies are needed to examine potential mechanisms such as failing CSF clearance as a common factor elevating CSF Aβ_xx analyte levels prior to Aβ₄₂ deposition in brain.

Making the cut: Depression screening in urban general hospital clinics for culturally diverse Latino populations

OBJECTIVES

We examined whether the cut-point 10 for the Patient Health Questionnaire-9 (PHQ9) depression screen used in primary care populations is equally valid for Mexicans (M), Ecuadorians (E), Puerto Ricans (PR) and non-Hispanic whites (W) from inner-city hospital-based primary care clinics; and whether stressful life events elevate scores and the probability of major depressive disorder (MDD).

METHODS

Over 18-months, a sample of persons from hospital clinics with a positive initial PHQ2 and a subsequent PHQ9 were administered a stressful life event questionnaire and a Structured Clinical Interview to establish an MDD diagnosis, with oversampling of those between 8 and 12: (n=261: 75 E, 71 M, 51 PR, 64 W). For analysis, the sample was weighted using chart review (n=368) to represent a typical clinic population. Receiver Operating Characteristics analysis selected cut-points maximizing sensitivity (Sn) plus specificity (Sp).

RESULTS

The optimal cut-point for all groups was 13 with the corresponding Sn and Sp estimates for E=(Sn 73%, Sp 71%), M=(76%, 81%), PR=(81%, 63%) and W=(80%, 74%). Stressful life events impacted screen scores and MDD diagnosis.

CONCLUSIONS

Elevating the PHQ9 cut-point for inner-city Latinos as well as whites is suggested to avoid high false positive rates leading to improper treatment with clinical and economic consequences.

Prediction of Success in College Calculus: Personality, Scholastic Aptitude Test, and Screening Scores

This study explored the relationship between Scholastic Aptitude Test scores, personality scores as measured by the 16 PF, Fifth Edition, and screening test scores of 87 students to predict success in college calculus. The results are discussed and implications reviewed.

Personality of College Students in Calculus Courses

Students in Calculus I, II, and III (hs = 56, 20, 6) completed Cattell's 16 PF, Form C. The 50 women scored significantly higher than the 32 men on Factors I and O, suggesting these women scored as more sensitive, insecure, and anxious, but means were <1.00 score point different. Perhaps personality factors in academic success should be explored in larger, more evenly sized groups.

Scores on the 16 Personality Factor Questionnaire and Success in College Calculus

This study explored the association of scores for 94 pharmacy majors on the 16 Personality Factor Questionnaire and success in college calculus courses as defined by final grade. In a simple regression two factors (G and A) were significant predictors of success in this exploratory study. Relevance to teaching and research is noted.

Outcomes of The BODY Project: A Program to Halt Obesity and Its Medical Consequences in High School Students

Adolescent obesity continues to be a major public health issue with a third of American adolescents being overweight or obese. Excess weight is associated with cardiovascular risk factors and pre-diabetes. High school students identified as carrying excess weight [body mass index (BMI) ≥25 kg/m(2), or BMI percentile ≥85 %] were invited to participate in The BODY Project, an intervention that included a medical evaluation and a personalized medical report of the results of that evaluation sent to the parent/guardian at home. The medical evaluation and report was repeated 12 months later. The reports also contained advice on how the individual student could modify their lifestyle to improve the specific medical parameters showing abnormalities. Outcomes were change in BMI, blood pressure, high-density lipoprotein (HDL), low-density lipoprotein (LDL), fasting glucose, and fasting insulin. Students participating in The BODY Project intervention demonstrated modest, yet significant, reductions in BMI (p < 0.001) 1 year later, and also had significant improvements in systolic blood pressure (p < 0.001) and cholesterol profile (HDL p = 0.002; LDL p < 0.001) at follow-up. The BODY Project, by means of a minimal educational program anchored on the principle of teachable moments around the students' increased perception of their own risk for disease from the medical abnormalities uncovered, demonstrates evidence of potential effectiveness in addressing adolescent obesity.

Contributions to the theory of optimal resource allocation

A problem in optimal resource allocation is considered for n jobs with identically distributed service times admitting a monotone hazard function. If the hazard function is increasing, it is shown that the procedure of allocating the full resource individually to each job until its completion minimizes the expected completion time of the jth job. The procedure which at any instant of time equally allocated the resource among all of the remaining jobs is shown to minimize the expected total cumulative waiting time if the hazard is decreasing.

Hispanic Youth With Excess Weight Display Psychological Distress

Adolescent overweight/obesity (OW/O) has reached epidemic proportions. The Youth Self-Report (YSR) was administered to 514 primarily Hispanic urban high school students to examine the relationship between weight and psychological distress. YSR and study population-specific norms were used to assess risk on Anxious/Depressed, Withdrawn/Depressed, Somatic Complaints, and Social Problems scales. OW/O status increased Social Problems regardless of norms. OW/O students endorsed greater Withdrawn/Depressed symptoms with YSR norms; greater Anxious/Depressed and Somatic Complaints were endorsed with population-specific norms. Females drive results. Findings suggest norms need to incorporate minority and economically disadvantaged groups.

NAD+ depletion or PAR polymer formation: which plays the role of executioner in ischaemic cell death?

Multiple cell death pathways are activated in cerebral ischaemia. Much of the initial injury, especially in the core of the infarct where cerebral blood flow is severely reduced, is necrotic and secondary to severe energy failure. However, there is considerable evidence that delayed cell death continues for several days, primarily in the penumbral region. As reperfusion therapies grow in number and effectiveness, restoration of blood flow early after injury may lead to a shift towards apoptosis. It is important to elucidate what are the key mediators of apoptotic cell death after stroke, as inhibition of apoptosis may have therapeutic implications. There are two well described pathways that lead to apoptotic cell death; the caspase pathway and the more recently described caspase-independent pathway triggered by poly-ADP-ribose polymers (PARP) activation. Caspase-induced cell death is initiated by release of mitochondrial cytochrome c, formation of the cytosolic apoptosome, and activation of endonucleases leading to a multitude of small randomly cleaved DNA fragments. In contrast caspase-independent cell death is secondary to activation of apoptosis inducing factor (AIF). Mitochondrial AIF translocates to the nucleus, where it induces peripheral chromatin condensation, as well as characteristic high-molecular-weight (50 kbp) DNA fragmentation. Although caspase-independent cell death has been recognized for some time and is known to contribute to ischaemic injury, the upstream triggering events leading to activation of this pathway remain unclear. The two major theories are that ischaemia leads to nicotinamide adenine dinucleotide (NAD+) depletion and subsequent energy failure, or alternatively that cell death is directly triggered by a pro-apoptotic factor produced by activation of the DNA repair enzyme PARP. PARP activation is robust in the ischaemic brain producing variable lengths of poly-ADP-ribose (PAR) polymers as byproducts of PARP activation. PAR polymers may be directly toxic by triggering mitochondrial AIF release independently of NAD+ depletion. Recently, sex differences have been discovered that illustrate the importance of understanding these molecular pathways, especially as new therapeutics targeting apoptotic cell death are developed. Cell death in females proceeds primarily via caspase activation whereas caspase-independent mechanisms triggered by the activation of PARP predominate in the male brain. This review summarizes the current literature in an attempt to clarify the roles of NAD+ and PAR polymers in caspase-independent cell death, and discuss sex specific cell death to provide an example of the possible importance of these downstream mediators.

Components of cultural competence in three mental health programs

OBJECTIVE

The aim of this study was to identify components of cultural competence in mental health programs developed for cultural groups by community and mental health professionals from these groups.

METHODS

Three programs were studied: a prevention program primarily serving African-American and Afro-Caribbean youth, a Latino adult acute inpatient unit, and a Chinese day treatment program in a community-based agency. Nine study-trained field researchers used a semistructured instrument that captures program genealogy, structure, processes, and cultural infusion. Program cultural elements were identified from field notes and from individual and group interviews of consumers and staff (N=104). A research-group consensus process with feedback from program staff was used to group elements by shared characteristics into the program components of cultural competence.

RESULTS

Components included communication competencies (with use of colloquialisms and accepted forms of address); staff in culturally acceptable roles; culturally framed trust building (such as pairing youths with mentors), stigma reduction, friendly milieus (such as serving culturally familiar foods and playing music popular with the culture), and services; and peer, family, and community involvement (including use of peer counselors and mentors, hosting parent weekends, and linking clients with senior center and community services).

CONCLUSIONS

Incorporating these components into any program in which underserved cultural populations are seen is recommended for improving cultural competence.

Impact of the Medicare modernization act on dually eligible persons with psychiatric diagnoses: a New York State case study

OBJECTIVE

The 2003 Medicare Modernization Act shifted medication coverage from Medicaid to Medicare for persons dually eligible for both programs. This study examined the extent to which access to psychiatric and concomitant medications was reduced for dually eligible individuals in New York State. It also examined the extent to which consumer copayments and state costs were changed when the act was implemented in 2006.

METHODS

Data were from psychiatric medication Medicaid claims in 2002 for the 36,842 dually eligible adults with severe mental illness and from the 2006 formulary data of New York State's 15 prescription drug plans available after the Medicare Modernization Act was implemented. The study simulated how dually eligible persons in New York State would fare under the plans' random and best-fit enrollment scenarios, taking into account the additional coverage provided by New York State's 2006 safety net policy.

RESULTS

Implementation of the Medication Modernization Act reduced drug availability and increased usage restrictions. A study-defined generosity measure estimated a 51%+/-19% reduction in access. Dually eligible individuals with depression experienced the largest treatment gap. Cost changes to the state were essentially budget neutral, primarily because of the required claw-back payment. Consumer copayments increased percentage-wise, but actual dollar amounts remained small; increases were higher under best-fit enrollment compared with random enrollment.

CONCLUSIONS

Without a generous safety net policy, dually eligible beneficiaries, especially those with depression, are likely to experience large gaps in their medication coverage and somewhat higher out-of-pocket costs. Treatment gaps were somewhat reduced by placement in best-fit plans, and such placement resulted in no added financial burden to the state. However, this resulted in higher consumer copayments--payments that are small in the actual dollar amount but that might have an impact on spending and on medication access for a largely poor consumer group.

Trends in the inpatient mental health treatment of children and adolescents in US community hospitals between 1990 and 2000

CONTEXT

Previous work has demonstrated marked changes in inpatient mental health service use by children and adolescents in the 1980s and early 1990s, but more recent, comprehensive, nationally representative data have not been reported.

OBJECTIVE

To describe trends in inpatient treatment of children and adolescents with mental disorders between 1990 and 2000.

DESIGN AND SETTING

Analysis of the Healthcare Cost and Utilization Project Nationwide Inpatient Sample, a nationally representative sample of discharges from US community hospitals sponsored by the Agency for Healthcare Research and Quality.

PATIENTS

Patients aged 17 years and younger discharged from US community hospitals with a principal diagnosis of a mental disorder.

MAIN OUTCOME MEASURES

Changes in the number and population-based rate of discharges, total inpatient days and average length of stay, charges, diagnoses, dispositions, and patient demographic and hospital characteristics.

RESULTS

Although the total number of discharges, population-based discharge rate, and daily charges did not significantly change between 1990 and 2000, the total number of inpatient days and mean charges per visit each fell by approximately one half. Median length of stay declined 63% over the decade from 12.2 days to 4.5 days. Declines in median and mean lengths of stay were observed for most diagnostic categories and remained significant after controlling for changes in background patient and hospital characteristics. Discharge rates for psychotic and mood disorders as well as intentional self-injuries increased while rates for adjustment disorders fell. Discharges to short-term, nursing, and other inpatient facilities declined.

CONCLUSIONS

The period between 1990 and 2000 was characterized by a transformation in the length of inpatient mental health treatment for young people. Community hospitals evaluated, treated, and discharged mentally ill children and adolescents far more quickly than 10 years earlier despite higher apparent rates of serious illness and self-harm and fewer transfers to intermediate and inpatient care.

Significant morbidity associated with RSV infection in immunosuppressed children following liver transplantation: case report and discussion regarding need of routine prophylaxis

Respiratory syncytial virus (RSV) is an important cause of lower respiratory tract infection in infants and young children. In immunocompromised children, RSV infection poses a serious health threat with significantly increased and prolonged virus shedding and the development of severe respiratory disease. We report two patients, eight months and 20 months of age, who were admitted with severe RSV infection two months and 10 months post-transplant respectively. Major risk factors for severe infection is the degree of immunosuppression and the age of the patient (<24 months). Based on the significant morbidity associated with RSV infection in these patients, we recommend randomized trials in larger pediatric solid organ transplant centers to evaluate the use of palivizumab prophylaxis is efficacious to prevent morbidity in patients under the age of 24 months, while we emphasize good hygienic practices to prevent RSV nosocomial infection.

Coping with disasters: estimation of additional capacity of the mental health sector to meet extended service demands

BACKGROUND

The September 11th disaster in New York City resulted in an increase in mental health service delivery as a vast network of providers responded to the urgent needs of those impacted by the tragedy. Estimates of current capacity, potential additional capacity to deliver services and of potential shortfall within the mental health sector are needed pieces of information for planning the responses to future disasters.

AIMS OF THE STUDY

Using New York State data, to determine the distribution of clinical service delivery rates among programs and to examine an explanatory model of observed variation; to estimate potential additional capacity in the mental health sector; and to estimate shortfall based on this capacity and data from studies on the need and use of services post September 11th

METHODS

Empirical distributions of weekly clinical service delivery rates in programs likely to be used by persons with post disaster mental health problems were obtained from available data. Three regression models were fit to explain rate variation in terms of unmodifiable program characteristics likely to impact the rates. We argue that rates could not be easily increased if any of the models had good explanatory power, and could be increased if it did not. All models had poor fit. We then assumed that the median and 75th percentile of the clinical service delivery rates were candidates for the minimum production capability of a clinician. The service rates of those clinicians whose rates fell below these quartiles were increased to the quartile value to yield estimates of potential additional capacity. These were used along with data on clinical need to estimate shortfall.

RESULTS

There is substantial variation in clinical service delivery rates within impact regions and among programs serving different age populations. The estimate of the percent increase in services overall based on the median is 12% and based on the 75th percentile is 27%. Using an estimate of need of.03 suggested by available data, and a range of services (1-10) that might be required in a six month period, shortfall estimates based on the median ranged between 22-92% and for the 75th percentile from no shortfall to 86%. A less conservative estimate of need of.05 produces median shortfall ranging between 59-96% and for the 75th percentile between 10-91%.

LIMITATIONS

While the program descriptor variables used in the explanatory model of rates were those most likely to impact rates, explanatory power of the model might have increased if other characteristics that are not modifiable had been included. In this case, the assumption that service production can be increased is called into question.

IMPLICATIONS FOR HEALTH CARE PROVISION AND USE

In the first six months post September 11th, in New York State (NYS) 250,000 persons received crisis counseling through Project Liberty. In 1999, NYS served approximately that same number in mental health clinic programs during the entire year. The estimates of this study suggest that additional funding and personnel are needed to provide mental health services in the event of a major disaster.

IMPLICATIONS FOR HEALTH POLICIES

A disaster plan is needed to coordinate the use of current and additional personnel including mental health resources from other sources and sectors.

Estimating population size and duplication rates when records cannot be linked

The capture-recapture approach to estimating the size of a population is a well-studied area of statistics. The number of distinct individuals, N(A) and N(B), on each of two lists, A and B, and the number common to both lists, N(AB), are used to form an estimate of the binomial probability of being on one of the lists, which then allows an estimate to be made of the size of the population. Critical to the method is an accurate count of N(AB). We consider situations in which this count is not available. Such problems arise in a variety of behavioural health contexts in which the need for protection of privacy may prevent sharing identifying information, so it is not possible to specifically match an individual who appears on one list with an individual on the other. Suppose that the birth dates and/or other demographics of individuals on each list are known. We introduce two methods for estimating the duplication rates and the size of the population. Conditioning on the set beta of birth dates of those on list B, N(A) and N(B), the maximum likelihood estimators (MLEs) and their variance are derived. The MLEs are based on the proportion of individuals on list A whose birth dates fall in beta. This approach is particularly useful if list B itself contains duplicates. The second model utilizes the full sample distribution of the birth dates. We generalize this approach to accommodate multiple demographic characteristics. The approaches are applied to the problem of estimating duplication rates and the population size of veterans who have mental illness in Kings County, NY. The data are lists of those receiving service from the Veterans Administration system and from providers funded or certified by the New York State Office of Mental Health.

Performance measures and their benchmarks for assessing organizational cultural competency in behavioral health care service delivery

A project is described in which performance measures of cultural competency in behavioral health care were selected and benchmarked. Input from an Expert Panel representing the four major ethnic and racial groups in the U.S. and persons with extensive experience in implementing cultural competency in health care, along with survey data from 21 sites were used in the process. Measures and benchmarks are made specific to organizations that administrate care networks, and to service entities that deliver care. Measures were selected to parallel an implementation process, and benchmarks were set at "gold standard" levels.

Statistical determination of cost-effectiveness frontier based on net health benefits

Statistical methods are given for producing a cost-effectiveness frontier for an arbitrary number of programs. In the deterministic case, the net health benefit (NHB) decision rule is optimal; the rule funds the program with the largest positive NHB at each lambda, the amount a decision-maker is willing to pay for an additional unit of effectiveness. For bivariate normally distributed cost and effectiveness variables and a specified lambda, a statistical procedure is presented, based on the method of constrained multiple comparisons with the best (CMCB), for determining the program with the largest NHB. A one-tailed t test is used to determine if the NHB is positive. To obtain a statistical frontier in the lambda-NHB plane, we develop a method to produce the region in which each program has the largest NHB, by pivoting a CMCB confidence interval. A one-sided version of Fieller's theorem is used to determine the region where the NHB of each program is positive. At each lambda, the pointwise error rate is bounded by a prespecified alpha. Upper bounds on the familywise error rate, the probability of an error at any value of lambda, are given. The methods are applied to a hypothetical clinical trial of antipsychotic agents.

The familywise error rate of a simultaneous confidence band for the incremental net health benefit

Interest in the use of net health benefit in cost-effectiveness analysis derives from its optimality property for decision-making. A description of the results of an economic evaluation of health care interventions is incomplete if it does not include point and interval estimates of this outcome measure. A simultaneous confidence band for the incremental net health benefit, INHB(lambda), for all lambda may be obtained by forming a confidence interval based on student's t statistic, and letting the willingness-to-pay value, lambda, run over all values. The familywise error rate (FWER) of the simultaneous confidence band is the probability that the confidence interval does not cover the true INHB(lambda) for some value of lambda. We show that the FWER equals P(T(2)>t(2)), where T(2) follows Hotelling's central distribution and that the simultaneous confidence band does not cover the true INHB(lambda) if and only if a T(2) based confidence ellipsoid does not cover the true mean c-e vector.

Recovery from psychotic illness: a 15- and 25-year international follow-up study

BACKGROUND

Poorly defined cohorts and weak study designs have hampered cross-cultural comparisons of course and outcome in schizophrenia.

AIMS

To describe long-term outcome in 18 diverse treated incidence and prevalence cohorts. To compare mortality, 15- and 25-year illness trajectory and the predictive strength of selected baseline and short-term course variables.

METHODS

Historic prospective study. Standardised assessments of course and outcome.

RESULTS

About 75% traced. About 50% of surviving cases had favourable outcomes, but there was marked heterogeneity across geographic centres. In regression models, early (2-year) course patterns were the strongest predictor of 15-year outcome, but recovery varied by location; 16% of early unremitting cases achieved late-phase recovery.

CONCLUSIONS

A significant proportion of treated incident cases of schizophrenia achieve favourable long-term outcome. Sociocultural conditions appear to modify long-term course. Early intervention programmes focused on social as well as pharmacological treatments may realise longer-term gains.

Statistical cost-effectiveness analysis of two treatments based on net health benefits

Statistical methods for cost-effectiveness analysis (CEA) for two treatments that mimic the deterministic optimal rules of CEA are presented. In these rules the objective is to determine the treatment with the maximal effectiveness whose unit cost is less than an amount, lambda, that a decision-maker is willing to pay (WTP). This is accomplished by identifying the treatment with the largest positive net health benefit (NHB), which is a function of lambda, while controlling the familywise error rate both when the WTP value is given and when it is unspecified. Fieller's theorem is used to determine a region of WTP values where the NHBs of the treatments are not distinguishable. For each lambda outside of the confidence region, the larger treatment is identified. A newly developed one-tailed analogue of Fieller's theorem is used to determine the WTP values where a treatment's NHB is positive. The situation in which both treatments are experimental is distinguished from the case where one of the treatments is usual care. The one-tailed confidence region is used in the latter case to obtain the lambda values where the NHBs are not different, and determining the region of positivity of the NHBs may be unnecessary. An example is presented in which the cost-effectiveness of two antipsychotic treatments is evaluated.

Cost-Shifting from Private to Public Payers: The Scene Before Parity Legislation

BACKGROUND: Analyses that have been conducted previously on the implications of parity have focused on the concern that mental health costs of private payers will substantially increase. A complete analysis of the cost implications of parity, however, also needs to consider whether the mental health costs of public payers may increase particularly if employers or private insurers attempt to extrude enrollees with severe mental illness. This study examines the extent of mental health cost shifting from private to public payers during two separate two-year periods prior to the implementation of parity legislation. The results of the analyses can serve as a necessary baseline against which the consequences of parity legislation on this direction of cost-shifting can be examined. METHODS: The study utilizes an all payer data set that contains information on the use of specialty mental health services (excluding private practitioners) by adults in an urban and a rural county in New York State. For each year of two time periods -1991/1992 and 1995/ 1996 - consumers were classified into payer groups based on whether their services were paid for by "Private Only", "Public Only", "Private/Public", "Self Pay" or "Other" payers. The proportion of individuals who moved from one payer group to another from one year to the following year of each time period and the average yearly costs under these payers were examined. Logistic regression models were used to identify the characteristics of persons most likely to remain with Private Only Payers in contrast to those likely to shift to Private/Public Only payers or to Public Only Payers. RESULTS: In both two-year time periods, the percent of persons who shifted in one year from Private Only to either Private/Public or Public Only payers was small. In contrast, a person in the Private/Public group has more than a 12 percent likelihood of shifting to a Public Only payer in the subsequent year. The average annual costs of the Private/Public group were higher than that of any other payer group. The average annual costs of persons who shifted into the Private/Public group from any other payer group or remained there from the previous year were even higher. The logistic regression analyses for both time periods showed that persons who shifted from Private Only to Private/Public or Public Only payers in contrast to those who remained with Private Only payers were more likely to have subsidized incomes, be younger and have a mental health disability. In 1995, the likelihood of the shift was also increased for those who were nonwhite and/or had a substance abuse disability. IMPLICATIONS: This study has found that individuals rarely shift directly from private payers to public payers. Rather, they first shift to having services reimbursed by both private and public payers, and during this period their average total service costs are extremely high. Persons who shift from private payers to having at least some of their services paid by public payers in subsequent years appear to be either young employees or young dependents who have severe mental illness or mental illness disabilities. Abusing substances and/or being nonwhite also increase the likelihood of a shift to public payers. Along with parity mandates, there has been an increase in managed care controls. The extent to which these controls will be used to accelerate the movement of these high cost persons from private to public payers needs close watch.

Efficacy of a single diagnostic test for sensitization to common inhalant allergens

BACKGROUND

UniCAP Phadiatop is a single laboratory test designed to determine the presence or absence of specific IgE to a variety of common inhalants. Its purpose is to aid in the differentiation of patients with symptoms attributable to allergic disease from other common causes.

METHODS

Consecutive children and adolescent patients (n = 145) at two centers were examined by having their history and physical examination performed by two board certified allergists. Their conclusions along with skin prick tests and specific IgE measurements regarding seven common inhalants (mite, oak, ragweed, grass, dog, cat, Alternaria) were compared with UniCAP Phadiatop test results. This was done using concordance of all test results. Attempts to resolve test discrepancies, when found, included specific RAST inhibitions, total IgE values, and physicians' judgment after testing.

RESULTS

All patients with resolved diagnoses (143 of 145, 103 positive and 40 negative) were identified correctly by the UniCAP Phadiatop test. Skin test results and specific IgE measurements correlated well, but neither correlated well with the history by itself, suggesting a minimal false-positive component of the history of 23%. UniCAP Phadiatop results demonstrated a quantitative relationship between the patient's score and the amount of IgE specific to these individual allergens.

CONCLUSIONS

The UniCAP Phadiatop test was shown to be highly sensitive and specific in differentiating individuals who are sensitized to common inhalants from those who are not. This test is recommended to all physicians as an aid in diagnostic and referral decisions for patients suspected of having an inhalant allergic diathesis.

Performance measures of cultural competency in mental health organizations

The authors utilized numerous documents created by advisory groups, expert panels and multicultural focus groups to develop performance measures for assessing the cultural competency of mental health systems. Competency was measured within three levels of organizational structure: administrative, provider network, and individual caregiver. Indicators, measures and data sources for needs assessment, information exchange, services, human resources, plans and policies, and outcomes were identified. Procedures for selection and implementation of the most critical measures are suggested. The products of this project are broadly applicable to the concerns of all cultural groups.