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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., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Background: Geographic and demographic variation in buprenorphine and methadone treatment use in U.S. cities has not been assessed. Identifying variance in opioid maintenance is essential to improving treatment access and equity., Purpose: To examine the differential uptake of buprenorphine treatment in comparison to methadone treatment between 2004 and 2013 in neighborhoods in New York City characterized by income, race and ethnicity., Methods: Social area (SA) analysis of residential zip codes of methadone and buprenorphine patients in NYC, which aggregated zip codes into five social areas with similar percentages of residents below poverty, identifying as Black non-Hispanic and as Hispanic, to examine whether treatment rates differed significantly among social areas over time. For each rate, mixed model analyses of variance were run with fixed effects for social area, year and the interaction of social area by year., Results: Buprenorphine treatment increased in all social areas over time with a significantly higher rate of increase in the social area with the highest income and the lowest percentage of Black, Hispanic, and low-income residents. Methadone treatment decreased slightly in all social areas until 2011 and then increased bringing rates back to 2004 levels. Treatment patterns varied by social area., Conclusions: Buprenorphine treatment rates are increasing in all social areas, with slower uptake in moderate income mixed ethnicity areas. Methadone rates have remained stable over time. Targeted investments to promote public sector buprenorphine prescription may be necessary to reduce disparities in buprenorphine treatment and to realize its potential as a public health measure., (Copyright © 2016. Published by Elsevier Ireland Ltd.)

Recently, a maximally selected normalized Wilcoxon, whose asymptotic distribution is a Brownian Bridge, was proposed for testing symmetry of a distribution about zero. The test sequentially discards observations whose absolute value is below increasing thresholds. The Wilcoxon is obtained at each threshold, and the maximum is the test statistic. We develop a recursive function for the exact distribution of a modification of the Max Wilcoxon test (MW) and provide critical values and a program for computing the p-value for a sample. A new hybrid test that combines the sign and MW tests is introduced. The power of MW and the new hybrid test are compared with Modarres and Gastwirth's hybrid test (MGH) and the Max McNemar (MM), under the generalized lambda distributions (GLD) family and two normal mixture models. The MW and the new hybrid test outperform the MGH, which is superior to the MM test in the GLD family. In one mixture model, MM is the least powerful test and the remaining three are essentially equivalent. In the second mixture model, when the zero median assumption is nearly valid, the MW test does well; its performance degrades when this assumption is violated. In the latter case, the MM performs better than MW for the same degree of skewness because the MM simultaneously tests both symmetry and zero median. Data from a genetic study of monozygotic twins discordant for major depressive disorder is used to illustrate the new tests., (Copyright © 2014 John Wiley & Sons, Ltd.)

OBJECTIVE Nationwide studies contrasting service use of racial-ethnic groups provide an overview of disparities, but because of variation in populations and service systems, local studies are required to identify specific targets for remedial action. The authors report on the use of non-inpatient services regulated in New York State (NYS) and report use by the state's larger cultural groups. METHODS Data from the NYS Patient Characteristics Survey were used to estimate annual treated prevalence and treatment intensity, defined as the average number of annual weeks in service for non-Hispanic blacks, Hispanics, Asians, and non-Hispanic whites. The latter rates were obtained for specific types of treatment use, by person's age and diagnosis, for the state and for population density-defined regions. Statistical methods contrasted rates of whites with other groups. RESULTS A total of 578,496 individuals in these racial-ethnic groups were served in 2,500 programs, and 51% of those served were nonwhite. Treated prevalence rates of whites were lower than those of blacks and Hispanics and were substantially higher than prevalence rates for Asians. Statewide treatment intensity rates of all racial-ethnic and age groups were comparable except for lower use among Asians >65. Key findings from granular analyses were lower treatment intensity rates for black youths with disruptive disorders, Hispanic adults with anxiety disorders, and Asians >65 with depression compared with white counterparts. In upstate metropolitan areas, black youths and Hispanic adults received services in fewer weeks than whites, and in the New York City metropolitan area, whites >65 had higher treatment intensity rates than contrast groups. CONCLUSIONS Findings suggest a need for assistance to black families in negotiating the multiple systems used by their children, clinical training focusing on cultural symptom presentation, screening of Asians in community settings, and mandated cultural competency assessments for all programs.

The problem of testing symmetry about zero has a long and rich history in the statistical literature. We introduce a new test that sequentially discards observations whose absolute value is below increasing thresholds defined by the data. McNemar's statistic is obtained at each threshold and the largest is used as the test statistic. We obtain the exact distribution of this maximally selected McNemar and provide tables of critical values and a program for computing p-values. Power is compared with the t-test, the Wilcoxon Signed Rank Test and the Sign Test. The new test, MM, is slightly less powerful than the t-test and Wilcoxon Signed Rank Test for symmetric normal distributions with nonzero medians and substantially more powerful than all three tests for asymmetric mixtures of normal random variables with or without zero medians. The motivation for this test derives from the need to appraise the safety profile of new medications. If pre and post safety measures are obtained, then under the null hypothesis, the variables are exchangeable and the distribution of their difference is symmetric about a zero median. Large pre-post differences are the major concern of a safety assessment. The discarded small observations are not particularly relevant to safety and can reduce power to detect important asymmetry. The new test was utilized on data from an on-road driving study performed to determine if a hypnotic, a drug used to promote sleep, has next day residual effects., (Copyright © 2012 John Wiley & Sons, Ltd.)

There is considerable public concern about health disparities among different cultural/racial/ethnic groups. Important process measures that might reflect inequities are treated prevalence and the service utilization rate in a defined period of time. We have previously described a method for estimating N, the distinct number who received service in a year, from a survey of service users at a single point in time. The estimator is based on the random variable 'time since last service', which enables the estimation of treated prevalence. We show that this same data can be used to estimate the service utilization rate, E(J), the mean number of services in the year. If the sample is typical with respect to the time since last visit, the MLE of E(J) is asymptotically unbiased. Confidence intervals and a global test of equality of treated prevalence and service utilization rates among several groups are given. A data set of outpatient mental health services from a county in New York State for which the true values of the parameters are known is analyzed as an illustration of the methods and an appraisal of their accuracy., (Copyright (c) 2010 John Wiley & Sons, Ltd.)

A survey is conducted at w of K selection units or lists, e.g. health care institutions or weeks in a year, to estimate N, the total number of individuals with particular characteristics. Our estimator utilizes two items determined for each survey participant: the number, u, among the w lists in S and the number, j, among all K lists on which each survey participant appears. In its traditional form, selection units are chosen using probability sampling and the statistical properties of the estimator derive from the sampling mechanism. Here, selection units are purposively chosen to maximize the chance that they are 'typical' and a model-based analysis is used for inference. If the sample is typical, the ML estimators of N and E(J) are unbiased. If a condition on the second moment of U/J is satisfied, the model-based variance of the estimator of N based on a purposively chosen typical sample is smaller than one based on a randomly chosen sample. Methods to test whether the typical assumption is valid using data from the survey are not yet available. The importance of proper selection of the sample to maximize the chance that it is typical and model breakdown does not occur must be emphasized.

Objectives: We sought to increase the accuracy of New York City's estimates of its unsheltered homeless population., Methods: We employed 2 approaches to increasing count accuracy: a plant-capture strategy in which embedded decoys (or "plants") were used to estimate the proportion of visible homeless people missed by enumerators and a postcount survey of service users designed to estimate the proportion of unsheltered homeless people who were not visible., Results: Plants at 17 sites (29%) reported being missed in the count, because counters either did not visit those sites or did not interview the plants. Of 293 homeless service users who were not in shelters, 31% to 41% were in locations deemed not visible to counters., Conclusions: Both plant-capture estimation and postcount surveys are feasible approaches that can increase the accuracy of estimates of unsheltered homeless populations.

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.

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., (Copyright 2003 John Wiley & Sons, Ltd.)

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., (Copyright 2002 John Wiley & Sons, Ltd.)

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., (Copyright 2002 John Wiley & Sons, Ltd.)

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., (Copyright 2001 John Wiley & Sons, Ltd.)

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.

Each of K mental health programmes reports the number of patients served in a year. The sum of these numbers, y, is an overcount because some patients are seen in more than one programme. Health care planners need to know the unduplicated number served by the mental health system. Thus, there is an unknown number, M, of distinct individuals who appear on one or more of K lists; some appear on multiple lists and the duplicates are not readily identifiable. Let X be the number of lists on which a randomly selected individual appears. When E(X) is known, y/E(X) is the natural estimator of M. We assume that we know the number of programmes, Xi, used by the ith individual in a random sample of recipients of service. Here, the intuitive estimator, Y/X has desirable statistical properties. We give confidence interval estimators for M. We apply the method to estimate the number of individuals served in 1991 by the mental health programmes in New York State.

Background: This article first examines the epidemiology of nonaffective acute remitting psychosis with respect to variation in incidence by sex and sociocultural setting. Second, it examines whether nonaffective acute remitting psychosis can be epidemiologically differentiated from schizophrenia., Methods: The data were drawn from the World Health Organization Determinants of Outcome Study. Sex-specific incidence rates were obtained for two sites in the developing-country setting and for six sites in the industrialized-country setting., Results: For nonaffective acute remitting psychosis, the incidence in men was about one-half the incidence in women, and the incidence in the developing-country setting was about 10-fold the incidence in the industrialized-country setting. These associations with sex and with setting were sharply distinct from those of schizophrenia., Conclusion: The epidemiologic patterns of this form of psychosis may be distinct from those of schizophrenia and could yield clues to its causes.

Objective: To determine the characteristics of cases of drug treatment refusal under the Rivers decision, which mandated court adjudication of such cases, the authors made a retrospective study of all applications for court review during 1 year in New York State inpatient facilities., Method: Sociodemographic and clinical characteristics of these 473 cases were compared with those of the 41,535 cases during the same period in which no court review was requested., Results: A 1% prevalence of applications requesting court review for nonemergency administration of medication over objection was found. The patients who refused medication were more likely than the comparison patients to have a crime-associated commitment status, a diagnosis of schizophrenia, and fewer previous hospital days, and they were more likely to be discharged. Medication refusers for whom applications for court review were submitted had relatively longer hospitalizations than the rest of the patients. Almost one-third of the applications submitted were withdrawn before court hearings, yielding a 0.7% prevalence of court-reviewed applications. Ninety-two percent of these applications for medication over objection were approved with virtually no change in the requested orders., Conclusions: The study findings demonstrate that a front-end judicial determination of competency to refuse medication results in a time-consuming procedure which fails to ensure real due process or provide individualized alternative treatment. A two-tier system with in-house clinical review preceding judicial review is proposed to remedy the deficiencies of the current system.

The authors surveyed pharmacotherapy in a group of hospitalized 18 to 35-year-old young adult patients (N = 286) with a DSM-III diagnosis of schizophrenia. Drug use comparisons were made between patients with a 180 day or less hospitalization (short-stay, N = 226) and those with a 366+ day hospitalization (long-stay, N = 60). Psychotropic drug usage during the initial 180 and most-recent 180 days of treatment of the long-stay group was compared with the total episode of the short-stay group. Antiepileptic, antidepressant, lithium and anxiolytic/sedative/hypnotic agents, were used in significantly more of the long-stay than short-stay patients. This increase was not observed between the two groups for the initial 180 days of the long-stay group but was observed during the most recent 180 days of treatment. Antipsychotic mean daily doses and patterns of use in the two length of stay groups were similar. Chlorpromazine (CPZ) dosage was significantly increased in long-stay patients compared with short-stay patients (P less than .05).

The authors surveyed pharmacotherapy in a group of 136 newly admitted patients with a DSM-III diagnosis of schizophrenia. They found that nine antipsychotic agents were used; the median daily dose (in chlorpromazine equivalents) was 1088 mg (mean +/- SD = 1428 +/- 1260 mg; range = 75-6186 mg). Women received greater mean daily doses of antipsychotics than men (1688 versus 1284 mg). Using a Cox model survival analysis, the authors found no statistical association between length of stay and the mean daily dose of antipsychotic medication. The mean daily dose of high-potency agents was 2.7 times greater than the dose of low-potency agents. The excess exposure to haloperidol alone resulted in 16.3% of the overall neuroactive drug costs.

In a sample of 1,032 psychiatric inpatients studied for 1 year, chronic patients (more than 6 months' inpatient stay) represented 17.4%, almost half of whom were discharged during a 2-year follow-up; an additional 19.4% died. The incidence of "new" long-stay patients was 8.6/100,000 population, which, if constant over time, would result in a net increase of long-stay patients. Most chronic long-stay patients had a diagnosis of schizophrenia or organic brain syndrome. The two diagnostic groups had strikingly different patterns of deinstitutionalization. Alcoholic patients and those with "other" diagnoses demonstrated chronic dependence on the hospital, characterized by short inpatient stays and high readmission rates.

An analysis was made of data from over 4000 postepisiotomy, uterine cramping, and postsurgical patients complaining of moderate or severe pain. They had received 325, 650, or 1300 mg aspirin or placebo while they were subjects in 10 analgesic clinical trials. On the average, for the same verbally expressed pain intensity level and the same treatment, more relief was obtained by a patient with uterine cramping than one with episiotomy pain, who in turn obtained more relief than a patient with surgical pain. A new mathematical model which characterizes the probability that an analgesic provides complete relief as a function of dose, severity of pain intensity, and pain etiology is developed. The model utilizes the data itself to estimate the numerical score corresponding to verbal pain intensities. The results indicate that the numerical score quantifying severe surgical pain is 1.4 times greater than the score for severe episiotomy pain, which in turn is 3.2 times greater than the score for severe uterine cramping. Clinical trials must be designed to take these differences into account. Also, clinicians must be cognizant of such differences when choosing among drugs and dosages for patients with different pain intensity and etiology.

This paper reports on an analysis of psychiatric population. 55 female patients with breast cancer were matched with non-cancer patients on age, year of admission, psychiatric diagnosis, race, and religion. Reserpine use was examined for yearly use by each year preceding the diagnosis of breast cancer, by cumulative yearly use, and by other defined time periods. Regardless of the definition of reserpine user, there were no significant increased relative risks of breast cancer for those women on reserpine. There was a fairly low proportion of patients from each group who were on the drug in any given year, and a fairly wide range of total dosage received. Over half of the women used reserpine at some time during their hospital stay.

Statistical problems in clinical trials frequently involve fitting regression lines when the underlying data are categorical or ordinal response variables. Usually an ad hoc a priori quantification is used to assign values to these ordinal responses. For pain intensity data collected in analgesic trials, the usual approach is to set none equal to 0, mild equal to 1, moderate equal to 2, and severe equal to 3. While this scheme has been generally accepted, on the basis that for similar clinical trials reasonably similar results are obtained by different investigators, concern exists that the distances between pain scores are probably not equal. A method is presented for quantifying categorical responses so that the resulting scores maximize the simultaneous fit of the dose-response regression lines. The optimal scores derived by this technique may then be used in a bioassay analysis to estimate the relative potency of 2 compounds. As illustrative examples, this method was applied to data from 2 clinical trials and the results were compared to the usual method.

Data from a survey of seclusion and restraint practices in New York state hospitals were analyzed to determine if they differed by hospital location. The study included 19 hospitals--five in New York City, four in New York City suburbs, three in large towns, and seven in small towns. Overall, New York City and large-town hospitals had the highest rates of seclusion and restraint, but analysis by age group showed that New York City had the lowest rate for patients under age 35, who constituted the majority of patients who were secluded or restrained, and large towns had the highest rate. Compared with suburban and small-town hospitals, city and large-town hospitals used seclusion more often than restraint and had a higher ward census and a lower-staff patient ratio. In all groups males and blacks were overrepresented compared with the hospital population. The authors believe clarification of regional variations in assaultive behavior is important for treatment and system planning.

Our objective was to determine the value of caffeine in combination with acetaminophen in the relief of pain from uterine cramping, episiotomy, and third molar extraction. In the dental study, 173 patients received two or four tablets of 500 mg acetaminophen or the combination of 500 mg acetaminophen and 65 mg caffeine. In the three postpartum studies, 1345 patients received one, two, or three tablets of acetaminophen, the combination, or a placebo. The mean scores for the summary variable percent sum of the pain intensity differences (% SPID) were higher in all for the combination than for acetaminophen alone, and in two studies the null hypothesis of no differences was rejected. The relative potency estimates for % SPID were 1.9, 1.8, and 1.3 for the three studies in which bioassays could be performed and the pooled relative potency was 1.7 with a 95% confidence interval of 1.1 to 3.1. The results were essentially the same among pain models and among patient groups with similar habitual caffeine consumption. Onset of analgesia was also faster with the combination. We conclude that caffeine enhances the analgesic efficacy of acetaminophen.