The incremental inpatient costs associated with marijuana comorbidity.
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ABSTRACT:
SUBMITTER: Pacula RL
PROVIDER: S-EPMC2212669 | biostudies-literature | 2008 Jan
REPOSITORIES: biostudies-literature
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The incremental inpatient costs associated with marijuana comorbidity.
Pacula Rosalie Liccardo RL Ringel Jeanne J Dobkin Carlos C Truong Khoa K
Drug and alcohol dependence 20071010 1-3
In this paper we examine the incremental cost of marijuana comorbidity for alcohol, mood and thought diagnoses in hospital settings. We use data from the 1993-2000 National Hospital Discharge Survey to examine the effect on length of stay and the 1995-2000 Florida Hospital Discharge Data to examine charges. General linear modeling (GLM) and propensity score methods are employed to deal with concerns stemming from the distribution of the dependent variables and statistically significant differenc ...[more]
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Project description:BackgroundAlthough systemic corticosteroid (SCS) treatment, irrespective of duration or dosage, is associated with adverse outcomes for patients with asthma, the longitudinal effects of this treatment on adverse outcomes, healthcare resource utilization (HCRU), and healthcare costs are unknown.MethodsWe identified patients initiating intermittent or long-term SCS who were diagnosed with active asthma from UK general practice with linked secondary care data. Control (non-SCS) patients were matched by sex and index date with those initiating SCS. Minimum baseline period was 1 year prior to index date; minimum follow-up duration was 2 years post-index date. Cumulative incidence of SCS-associated adverse outcomes and associated HCRU and costs were compared between SCS and non-SCS patient groups and among average SCS daily exposure categories. Associations between exposure and annualized HCRU and costs were assessed, adjusted for confounders.ResultsAnalyses included 9413 matched pairs. Median (interquartile range) follow up was as follows: SCS group: 7.1 (4.1-11.8) years; control group: 6.4 (3.8-10.0) years. Greater SCS dosages were correlated with greater cumulative incidence. For example, patients with type 2 diabetes receiving an average daily dosage of ?7.5 mg had a 15-year cumulative incidence (37.5%) that was 1.5-5 times greater than those receiving lower dosages. HCRU and costs increased annually for SCS patients but not for non-SCS patients. Increases in all-cause adverse outcome (excluding asthma)-associated HCRU and costs were dose-dependent.ConclusionsOver the long term, adverse outcomes associated with SCS initiation were relatively frequent and costly, with a positive dosage-response relationship with SCS exposure.
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Project description:ObjectiveTo examine the associations between partial and incremental implementation of the Patient Centered Medical Home (PCMH) model and measures of cost and quality of care.Data sourceWe combined validated, self-reported PCMH capabilities data with administrative claims data for a diverse statewide population of 2,432 primary care practices in Michigan. These data were supplemented with contextual data from the Area Resource File.Study designWe measured medical home capabilities in place as of June 2009 and change in medical home capabilities implemented between July 2009 and June 2010. Generalized estimating equations were used to estimate the mean effect of these PCMH measures on total medical costs and quality of care delivered in physician practices between July 2009 and June 2010, while controlling for potential practice, patient cohort, physician organization, and practice environment confounders.Principal findingsBased on the observed relationships for partial implementation, full implementation of the PCMH model is associated with a 3.5 percent higher quality composite score, a 5.1 percent higher preventive composite score, and $26.37 lower per member per month medical costs for adults. Full PCMH implementation is also associated with a 12.2 percent higher preventive composite score, but no reductions in costs for pediatric populations. Incremental improvements in PCMH model implementation yielded similar positive effects on quality of care for both adult and pediatric populations but were not associated with cost savings for either population.ConclusionsEstimated effects of the PCMH model on quality and cost of care appear to improve with the degree of PCMH implementation achieved and with incremental improvements in implementation.
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Project description:Tools from network science can be utilized to study relations between diseases. Different studies focus on different types of inter-disease linkages. One of them is the comorbidity patterns derived from large-scale longitudinal data of hospital discharge records. Researchers seek to describe comorbidity relations as a network to characterize pathways of disease progressions and to predict future risks. The first step in such studies is the construction of the network itself, which subsequent analyses rest upon. There are different ways to build such a network. In this paper, we provide an overview of several existing statistical approaches in network science applicable to weighted directed networks. We discuss the differences between the null models that these models assume and their applications. We apply these methods to the inpatient data of approximately one million people, spanning approximately 17 years, pertaining to the Montreal Census Metropolitan Area. We discuss the differences in the structure of the networks built by different methods, and different features of the comorbidity relations that they extract. We also present several example applications of these methods.
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