Thomas J. McLaughlin

Bio: Thomas J. McLaughlin is an academic researcher from University of Massachusetts Medical School. The author has contributed to research in topics: Addiction & Medicaid. The author has an hindex of 37, co-authored 88 publications receiving 6623 citations. Previous affiliations of Thomas J. McLaughlin include Harvard University & McLean Hospital.

Sociodemographic predictors of antenatal and postpartum depressive symptoms among women in a medical group practice

Abstract: Objective: Data are scarce regarding the sociodemographic predictors of antenatal and postpartum depression. This study investigated whether race/ethnicity, age, finances, and partnership status were associated with antenatal and postpartum depressive symptoms. Setting: 1662 participants in Project Viva, a US cohort study. Design: Mothers indicated mid-pregnancy and six month postpartum depressive symptoms on the Edinburgh postpartum depression scale (EPDS). Associations of sociodemographic factors with odds of scoring >12 on the EPDS were estimated. Main results: The prevalence of depressive symptoms was 9% at mid-pregnancy and 8% postpartum. Black and Hispanic mothers had a higher prevalence of depressive symptoms compared with non-Hispanic white mothers. These associations were explained by lower income, financial hardship, and higher incidence of poor pregnancy outcome among minority women. Young maternal age was associated with greater risk of antenatal and postpartum depressive symptoms, largely attributable to the prevalence of financial hardship, unwanted pregnancy, and lack of a partner. The strongest risk factor for antenatal depressive symptoms was a history of depression (OR = 4.07; 95% CI 3.76, 4.40), and the strongest risk for postpartum depressive symptoms was depressive symptoms during pregnancy (6.78; 4.07, 11.31) or a history of depression before pregnancy (3.82; 2.31, 6.31). Conclusions: Financial hardship and unwanted pregnancy are associated with antenatal and postpartum depressive symptoms. Women with a history of depression and those with poor pregnancy outcomes are especially vulnerable to depressive symptoms during the childbearing year. Once these factors are taken in account, minority mothers have the same risk of antenatal and postpartum depressive symptoms as white mothers.

Effects of Medicaid drug-payment limits on admission to hospitals and nursing homes.

Abstract: Background. Many state Medicaid programs limit the number of reimbursable medications that a patient can receive. We hypothesized that such limitations may lead to exacerbations of illness or to admissions to institutions where there are no caps on drug reimbursements. Methods. We analyzed 36 months of Medicaid claims data from New Hampshire, which had a three-drug limit per patient for 11 of those months, and from New Jersey, which did not. The study patients in New Hampshire (n = 411) and a matched comparison cohort in New Jersey (n = 1375) were Medicaid recipients 60 years of age or older who in a base-line year had been taking three or more medications per month, including at least one maintenance drug for certain chronic diseases. Survival (defined as remaining in the community) and time-series analyses were conducted to determine the effect of the reimbursement cap on admissions to hospitals and nursing homes. Results. The base-line demographic characteristics of the cohorts were nearly ide...

Adverse Outcomes of Underuse of β-Blockers in Elderly Survivors of Acute Myocardial Infarction

Abstract: Objectives. —To study determinants and adverse outcomes (mortality and rehospitalization) of β-blocker underuse in elderly patients with myocardial infarction; and whether the relative risks (RRs) of survival associated with β-blocker use were comparable to those reported in the large randomized controlled trials (RCTs). Setting. —New Jersey Medicare population. Design. —Retrospective cohort design using linked Medicare and drug claims data from 1987 to 1992. Patients. —Statewide cohort of 5332 elderly 30-day acute myocardial infarction (AMI) survivors with prescription drug coverage, of whom 3737 were eligible for β-blockers. Main Outcome Measures. —β-Blocker and calcium channel blocker use in the first 90 days after discharge and mortality rates and cardiac hospital readmissions over the 2-year period after discharge, controlling for sociodemographic and baseline risk variables. Results. —Only 21% of eligible patients received β-blocker therapy; this rate remained unchanged from 1987 to 1991. Patients were almost 3 times more likely to receive a new prescription for a calcium channel blocker than for a new β-blocker after their AMIs. Advanced age and calcium channel blocker use predicted underuse of β-blockers. Controlling for other predictors of survival, the mortality rate among β-blocker recipients was 43% less than that for nonrecipients (RR=0.57; 95% confidence interval [CI], 0.47-0.69). Effects on mortality were substantial in all age strata (65-74 years, 75-84 years, and ≥85 years) and consistent with the results for elderly subgroups of 2 large RCTs. β-Blocker recipients were rehospitalized 22% less often than nonrecipients (RR=0.78; 95% CI, 0.67-0.90). Use of a calcium channel blocker instead of a β-blocker was associated with a doubled risk of death (RR=1.98; 95% CI, 1.44-2.72), not because calcium channel blockers had a demonstrable adverse effect, but because they were substitutes for β-blockers. Conclusions. —β-Blockers are underused in elderly AMI survivors, leading to measurable adverse outcomes. These data suggest that the survival benefits of β-blockade after an AMI may extend to eligible patients older than 75 years, a group that has been excluded from RCTs.

Effects of Limiting Medicaid Drug-Reimbursement Benefits on the Use of Psychotropic Agents and Acute Mental Health Services by Patients with Schizophrenia

Abstract: Background We examined the effects of a three-prescription monthly payment limit (cap) on the use of psychotropic drugs and acute mental health care by noninstitutionalized patients with schizophrenia. We hypothesized that reducing access to such drugs would increase the use of emergency mental health services and the rate of partial hospitalizations (full-day or half-day treatment programs) and psychiatric-hospital admissions. Methods We linked Medicaid claims data for a period of 42 months with clinical records from two community mental health centers (CMHCs) and the single state psychiatric hospital in New Hampshire, where Medicaid imposed a three-prescription limit on reimbursement for drugs during 11 months (months 15 through 25) of the study. For comparison, we used Medicaid claims for a period of 42 months in New Jersey, which had no limit on drug reimbursement. The study patients (n = 268) and the comparison patients (n = 1959) were permanently disabled, noninstitutionalized patients with schizoph...

Job performance deficits due to depression.

Abstract: Objective: This study assessed the relationship between depression severity and job performance among employed primary care patients. Method: In a 2001–2004 longitudinal observational study of depression’s affect on work productivity, 286 patients with DSM-IV major depressive disorder and/or dysthymia were compared to 93 individuals with rheumatoid arthritis, a condition associated with work disability, and 193 depression-free healthy control subjects. Participants were employed at least 15 hours per week, did not plan to stop working, and had no major medical comorbidities. Measures at baseline, six, 12, and 18 months included the Work Limitations Questionnaire for work outcomes, and the Patient Health Questionnaire-9 for depression. Results: At baseline and each follow-up, the depression group had significantly greater deficits in managing mental-interpersonal, time, and output tasks, as measured by the Work Limitations Questionnaire: The rheumatoid arthritis group’s deficits in managing physical job de...

Bayesian measures of model complexity and fit

Abstract: Summary. We consider the problem of comparing complex hierarchical models in which the number of parameters is not clearly defined. Using an information theoretic argument we derive a measure pD for the effective number of parameters in a model as the difference between the posterior mean of the deviance and the deviance at the posterior means of the parameters of interest. In general pD approximately corresponds to the trace of the product of Fisher's information and the posterior covariance, which in normal models is the trace of the ‘hat’ matrix projecting observations onto fitted values. Its properties in exponential families are explored. The posterior mean deviance is suggested as a Bayesian measure of fit or adequacy, and the contributions of individual observations to the fit and complexity can give rise to a diagnostic plot of deviance residuals against leverages. Adding pD to the posterior mean deviance gives a deviance information criterion for comparing models, which is related to other information criteria and has an approximate decision theoretic justification. The procedure is illustrated in some examples, and comparisons are drawn with alternative Bayesian and classical proposals. Throughout it is emphasized that the quantities required are trivial to compute in a Markov chain Monte Carlo analysis.

Audit and feedback: effects on professional practice and healthcare outcomes

Abstract: Background Audit and feedback continues to be widely used as a strategy to improve professional practice. It appears logical that healthcare professionals would be prompted to modify their practice if given feedback that their clinical practice was inconsistent with that of their peers or accepted guidelines. Yet, audit and feedback has not been found to be consistently effective. Objectives To assess the effects of audit and feedback on the practice of healthcare professionals and patient outcomes. Search strategy We searched the Cochrane Effective Practice and Organisation of Care Group's register up to January 2001. This was supplemented with searches of MEDLINE and reference lists, which did not yield additional relevant studies. Selection criteria Randomised trials of audit and feedback (defined as any summary of clinical performance over a specified period of time) that reported objectively measured professional practice in a healthcare setting or healthcare outcomes. Data collection and analysis Two reviewers independently extracted data and assessed study quality. Quantitative (meta-regression), visual and qualitative analyses were undertaken. Main results We included 85 studies, 48 of which have been added to the previous version of this review. There were 52 comparisons of dichotomous outcomes from 47 trials with over 3500 health professionals that compared audit and feedback to no intervention. The adjusted RDs of non-compliance with desired practice varied from 0.09 (a 9% absolute increase in non-compliance) to 0.71 (a 71% decrease in non-compliance) (median = 0.07, inter-quartile range = 0.02 to 0.11). The one factor that appeared to predict the effectiveness of audit and feedback across studies was baseline non-compliance with recommended practice. Reviewer's conclusions Audit and feedback can be effective in improving professional practice. When it is effective, the effects are generally small to moderate. The absolute effects of audit and feedback are more likely to be larger when baseline adherence to recommended practice is low.

Structural Equation Modeling

Abstract: Structural equation modeling (SEM) is a multivariate statistical framework that is used to model complex relationships between directly observed and indirectly observed (latent) variables. SEM is a general framework that involves simultaneously solving systems of linear equations and encompasses other techniques such as regression, factor analysis, path analysis, and latent growth curve modeling. Recently, SEM has gained popularity in the analysis of complex genetic traits because it can be used to better analyze the relationships between correlated variables (traits), to model genes as latent variables as a function of multiple observed genetic variants, and to assess the association between multiple genetic variants and multiple correlated phenotypes of interest. Though the general SEM framework only allows for the analysis of independent observations, recent work has extended SEM for the analysis of data on general pedigrees. Here, we review the theory of SEM for both unrelated and family data, describe the available software for SEM, and provide examples of SEM analysis.

Epidemiology of obstructive sleep apnea: a population health perspective.

Abstract: Population-based epidemiologic studies have uncovered the high prevalence and wide severity spectrum of undiagnosed obstructive sleep apnea, and have consistently found that even mild obstructive sleep apnea is associated with significant morbidity. Evidence from methodologically strong cohort studies indicates that undiagnosed obstructive sleep apnea, with or without symptoms, is independently associated with increased likelihood of hypertension, cardiovascular disease, stroke, daytime sleepiness, motor vehicle accidents, and diminished quality of life. Strategies to decrease the high prevalence and associated morbidity of obstructive sleep apnea are critically needed. The reduction or elimination of risk factors through public health initiatives with clinical support holds promise. Potentially modifiable risk factors considered in this review include overweight and obesity, alcohol, smoking, nasal congestion, and estrogen depletion in menopause. Data suggest that obstructive sleep apnea is associated with all these factors, but at present the only intervention strategy supported with adequate evidence is weight loss. A focus on weight control is especially important given the expanding epidemic of overweight and obesity in the United States. Primary care providers will be central to clinical approaches for addressing the burden and the development of cost-effective case-finding strategies and feasible treatment for mild obstructive sleep apnea warrants high priority.