Using a summary measure for multiple quality indicators in primary care: the Summary QUality InDex (SQUID)

BACKGROUND: Assessing the quality of primary care is becoming a priority in national healthcare agendas. Audit and feedback on healthcare quality performance indicators can help improve the quality of care provided. In some instances, fewer numbers of more comprehensive indicators may be preferable. This paper describes the use of the Summary Quality Index (SQUID) in tracking quality of care among patients and primary care practices that use an electronic medical record (EMR). All practices are part of the Practice Partner Research Network, representing over 100 ambulatory care practices throughout the United States. METHODS: The SQUID is comprised of 36 process and outcome measures, all of which are obtained from the EMR. This paper describes algorithms for the SQUID calculations, various statistical properties, and use of the SQUID within the context of a multi-practice quality improvement (QI) project. RESULTS: At any given time point, the patient-level SQUID reflects the proportion of recommended care received, while the practice-level SQUID reflects the average proportion of recommended care received by that practice's patients. Using quarterly reports, practice- and patient-level SQUIDs are provided routinely to practices within the network. The SQUID is responsive, exhibiting highly significant (p < 0.0001) increases during a major QI initiative, and its internal consistency is excellent (Cronbach's alpha = 0.93). Feedback from physicians has been extremely positive, providing a high degree of face validity. CONCLUSION: The SQUID algorithm is feasible and straightforward, and provides a useful QI tool. Its statistical properties and clear interpretation make it appealing to providers, health plans, and researchers

Complete sequence of the 22q11.2 allele in 1,053 subjects with 22q11.2 deletion syndrome reveals modifiers of conotruncal heart defects

The 22q11.2 deletion syndrome (22q11.2DS) results from non-allelic homologous recombination between low-copy repeats termed LCR22. About 60%-70% of individuals with the typical 3 megabase (Mb) deletion from LCR22A-D have congenital heart disease, mostly of the conotruncal type (CTD), whereas others have normal cardiac anatomy. In this study, we tested whether variants in the hemizygous LCR22A-D region are associated with risk for CTDs on the basis of the sequence of the 22q11.2 region from 1,053 22q11.2DS individuals. We found a significant association (FDR p &lt; 0.05) of the CTD subset with 62 common variants in a single linkage disequilibrium (LD) block in a 350 kb interval harboring CRKL. A total of 45 of the 62 variants were associated with increased risk for CTDs (odds ratio [OR) ranges: 1.64-4.75). Associations of four variants were replicated in a meta-analysis of three genome-wide association studies of CTDs in affected individuals without 22q11.2DS. One of the replicated variants, rs178252, is located in an open chromatin region and resides in the double-elite enhancer, GH22J020947, that is predicted to regulate CRKL (CRK-like proto-oncogene, cytoplasmic adaptor) expression. Approximately 23% of patients with nested LCR22C-D deletions have CTDs, and inactivation of Crkl in mice causes CTDs, thus implicating this gene as a modifier. Rs178252 and rs6004160 are expression quantitative trait loci (eQTLs) of CRKL. Furthermore, set-based tests identified an enhancer that is predicted to target CRKL and is significantly associated with CTD risk (GH22J020946, sequence kernal association test (SKAT) p = 7.21&nbsp;× 10-5) in the 22q11.2DS cohort. These findings suggest that variance in CTD penetrance in the 22q11.2DS population can be explained in part by variants affecting CRKL expression

Genetic contributors to risk of schizophrenia in the presence of a 22q11.2 deletion

Schizophrenia occurs in about one in four individuals with 22q11.2 deletion syndrome (22q11.2DS). The aim of this International Brain and Behavior 22q11.2DS Consortium (IBBC) study was to identify genetic factors that contribute to schizophrenia, in addition to the ~20-fold increased risk conveyed by the 22q11.2 deletion. Using whole-genome sequencing data from 519 unrelated individuals with 22q11.2DS, we conducted genome-wide comparisons of common and rare variants between those with schizophrenia and those with no psychotic disorder at age ≥25 years. Available microarray data enabled direct comparison of polygenic risk for schizophrenia between 22q11.2DS and independent population samples with no 22q11.2 deletion, with and without schizophrenia (total n = 35,182). Polygenic risk for schizophrenia within 22q11.2DS was significantly greater for those with schizophrenia (padj = 6.73 × 10−6). Novel reciprocal case–control comparisons between the 22q11.2DS and population-based cohorts showed that polygenic risk score was significantly greater in individuals with psychotic illness, regardless of the presence of the 22q11.2 deletion. Within the 22q11.2DS cohort, results of gene-set analyses showed some support for rare variants affecting synaptic genes. No common or rare variants within the 22q11.2 deletion region were significantly associated with schizophrenia. These findings suggest that in addition to the deletion conferring a greatly increased risk to schizophrenia, the risk is higher when the 22q11.2 deletion and common polygenic risk factors that contribute to schizophrenia in the general population are both present

CLI-Based Compilation Flows for the C Language

Embedded systems contain a wide variety of processors. Economical and technological factors favor systems made of a combination of diverse but programmable processors. Software has a longer lifetime than the hardware for which it is initially designed. Application portability is thus of utmost importance for the embedded systems industry. The Common Language Infrastructure (CLI) is a rich virtualization environment for the execution of applications written in multiple languages. CLI efficiently captures the semantics of unmanaged languages, such as C. We investigate the use of CLI as a deployment format for embedded systems to reconcile apparently contradictory constraints: the need for portability, the need for high performance and the existence of a large base of legacy C code. In this paper, we motivate our CLI-based compilation environment for C, and its different use scenarios. We then focus on the specific challenges of effectively mapping the C language to CLI, and our proposed solutions. We finally analyze the interactions between the CLI environment and native libraries, which is of primary importance for a practical use of the proposed approach

History of Overweight/Obesity as Predictor of Care Received at 1-year Follow-Up in Adolescents With Anorexia Nervosa or Atypical Anorexia Nervosa

PurposePrevious research has indicated that patients with anorexia nervosa (AN) or atypical AN with premorbid history of overweight/obesity have greater weight loss and longer illness duration than patients with no such history. However, little is known about the association of premorbid overweight/obesity and receiving inpatient medical care during treatment for an eating disorder.MethodsUsing logistic regression, we sought to determine if history of overweight/obesity was associated with receiving inpatient medical care in a sample of 522 patients (mean age 15.5&nbsp;years, 88% female) with AN/atypical AN.ResultsBinary results demonstrated greater percent weight loss (27.4% vs. 16.2%) and higher percent median body mass index (%mBMI, 99.8% vs. 85.2%) at presentation in those with a history of overweight/obesity (p &lt; .001) but no difference in duration of illness (p&nbsp;= .09). In models adjusted for demographics and percent weight loss, history of overweight/obesity was associated with lower odds of receiving inpatient medical care (odds ratio .60 [95% confidence interval: .45-.80]) at 1-year follow-up. However, these associations were no longer significant after adjusting for %mBMI. Mediation results suggest that %mBMI fully mediates the relationship between history of overweight/obesity and inpatient medical care, in that those with a history of overweight/obesity are less likely to receive care due to presenting at a higher weight.ConclusionsOur findings suggest that, despite greater degree of weight loss and no difference in duration of illness, participants with a history of overweight/obesity are less likely to receive inpatient medical care