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To identify clusters of patients with post-traumatic stress disorder (PTSD) according to symptom profile and to examine the association of the A1 allele of the D2 dopamine receptor (DRD2) gene with these clusters.
Method.
Fifty-seven untreated Caucasian Vietnam veterans with PTSD were administered the General Health Questionnaire-28 (GHQ) and the Mississippi Scale for combat-related PTSD. DRD2 allelic status was determined by PCR.
Results.
Subjects with the DRD2 Al allele compared to those without this allele had significantly higher scores on GHQ 2 (anxiety/insomnia), GHQ 3 (social dysfunction) and GHQ 4 (depression). Cluster analysis of the GHQ data identified two primary groups. A high psychopathology cluster (cluster 3), featured by high co-morbid levels of somatic concerns, anxiety/insomnia, social dysfunction and depression, and a low psychopathology cluster (cluster 1), manifested by the reverse pattern. Scores in each of the four GHQ groups were significantly higher in cluster 3 than cluster 1, as was Mississippi Scale PTSD score. DRD2 A1 allele veterans compared to those without this allele were significantly more likely to be found in the high than the low psychopathology cluster group.
Conclusions.
DRD2 variants are associated with severe co-morbid psychopathology in PTSD subjects.
Emergency department (ED) access block, the inability to provide timely care for high acuity patients, is the leading safety concern in First World EDs. The main cause of ED access block is hospital access block with prolonged boarding of inpatients in emergency stretchers. Cumulative emergency access gap, the product of the number of arriving high acuity patients and their average delay to reach a care space, is a novel access measure that provides a facility-level estimate of total emergency care delays. Many health leaders believe these delays are too large to be solved without substantial increases in hospital capacity. Our objective was to quantify cumulative emergency access blocks (the problem) as a fraction of inpatient capacity (the potential solution) at a large sample of Canadian hospitals.
Methods
In this cross-sectional study, we collated 2015 administrative data from 25 Canadian hospitals summarizing patient inflow and delays to ED care space. Cumulative access gap for high acuity patients was calculated by multiplying the number of Canadian Triage Acuity Scale (CTAS) 1-3 patients by their average delay to reach a care space. We compared cumulative ED access gap to available inpatient bed hours to estimate fractional access gap.
Results
Study sites included 16 tertiary and 9 community EDs in 12 cities, representing 1.79 million patient visits. Median ED census (interquartile range) was 66,300 visits per year (58,700-80,600). High acuity patients accounted for 70.7% of visits (60.9%-79.0%). The mean (SD) cumulative ED access gap was 46,000 stretcher hours per site per year (± 19,900), which was 1.14% (± 0.45%) of inpatient capacity.
Conclusion
ED access gaps are large and jeopardize care for high acuity patients, but they are small relative to hospital operating capacity. If access block were viewed as a “whole hospital” problem, capacity or efficiency improvements in the range of 1% to 3% could profoundly mitigate emergency care delays.
The family physician is key to facilitating access to psychiatric treatment for young people with first-episode psychosis, and this involvement can reduce aversive events in pathways to care. Those who seek help from primary care tend to have longer intervals to psychiatric care, and some people receive ongoing psychiatric treatment from the family physician.
Aims
Our objective is to understand the role of the family physician in help-seeking, recognition and ongoing management of first-episode psychosis.
Method
We will use a mixed-methods approach, incorporating health administrative data, electronic medical records (EMRs) and qualitative methodologies to study the role of the family physician at three points on the pathway to care. First, help-seeking: we will use health administrative data to examine access to a family physician and patterns of primary care use preceding the first diagnosis of psychosis; second, recognition: we will identify first-onset cases of psychosis in health administrative data, and look back at linked EMRs from primary care to define a risk profile for undetected cases; and third, management: we will examine service provision to identified patients through EMR data, including patterns of contacts, prescriptions and referrals to specialised care. We will then conduct qualitative interviews and focus groups with key stakeholders to better understand the trends observed in the quantitative data.
Discussion
These findings will provide an in-depth description of first-episode psychosis in primary care, informing strategies to build linkages between family physicians and psychiatric services to improve transitions of care during the crucial early stages of psychosis.
Electronic surveillance systems (ESSs) that utilize existing information in databases are more efficient than conventional infection surveillance methods.
Objective.
To develop an ESS for monitoring bloodstream infections (BSIs) and assess whether data obtained from the ESS were in agreement with data obtained by traditional manual medical-record review.
Methods.
An ESS was developed by linking data from regional laboratory and hospital administrative databases. Definitions for excluding BSI episodes representing contamination and duplicate episodes were developed and applied. Infections were classified as nosocomial infections, healthcare-associated community-onset infections, or community-acquired infections. For a random sample of episodes, data in the ESS were compared with data obtained by independent medical chart review.
Results.
From the records of the 306 patients whose infections were selected for comparative review, the ESS identified 323 episodes of BSI, of which 107 (33%) were classified as healthcare-associated community-onset infections, 108 (33%) were classified as community-acquired infections, 107 (33%) were classified as nosocomial infections, and 1 (0.3%) could not be classified. In comparison, 310 episodes were identified by use of medical chart review, of which 116 (37%) were classified as healthcare-associated community-onset infections, 95 (31%) as community-acquired infections, and 99 (32%) as nosocomial infections. For 302 episodes of BSI, there was concordance between the findings of the ESS and those of traditional manual chart review. Of the additional 21 discordant episodes that were identified by use of the ESS, 17 (81%) were classified as representing isolation of skin contaminants, by use of chart review. Of the additional 8 discordant episodes further identified by use of chart review, most were classified as repeat or polymicrobial episodes of disease. There was an overall 85% agreement between the findings of the ESS and those of chart review (K = 0.78; standard error, K = 0.04) for classification according to location of acquisition.
Conclusion.
Our novel ESS allows episodes of BSI to be identified and classified with a high degree of accuracy. This system requires validation in other cohorts and settings.
discuss the characteristics of high performing organisations
describe an excellence framework for operations
explain the role of standards in the development of models of excellence
compare differing excellence models
analyse an organisation using a model for excellence such as the Australian Business Excellence Framework
describe the different types of organisational performance measurements
describe some of the tools that can be used for driving transformation of organisations towards becoming better performers.
Box 10.1: Management challenge: what is operations excellence?
Coca-Cola, IKEA, Toyota. These world famous corporations have one common feature – they have all achieved operations excellence. So, what is operations excellence? What are the dimensions of operations excellence? How might organisations strive to go beyond operations excellence? These challenges presented here are concerned with the ability of organisations to develop and balance a number of characteristics of high performing organisations in order to achieve operations excellence. For example, senior managers within the Toyota Corporation in both Australia and Japan have told one of the editors of this book that Toyota's quality of cars built in Australia is the best in the world, including even the ‘parent’ plants in Japan. Does this constitute operations excellence? How can it be measured? How do we know when we have achieved it? What do we do next? Is it worth striving for operations excellence? What are the costs and benefits of doing so? […]
Toxic anterior segment syndrome (TASS), a complication of cataract surgery, is a sterile inflammation of the anterior chamber of the eye. An outbreak of TASS was recognized at an outpatient surgical center and its affiliated hospital in December 2002.
Methods.
Medical records of patients who underwent cataract surgery during the outbreak were reviewed, and surgical team members who participated in the operations were interviewed. Potential causes of TASS were identified and eliminated. Feedwater from autoclave steam generators and steam condensates were analyzed by use of spectroscopy and ion chromatography.
Results.
During the outbreak, 8 (38%) of 21 cataract operations were complicated by TASS, compared with 2 (0.07%) of 2,713 operations performed from January 1996 through November 2002. Results of an initial investigation suggested that cataract surgical equipment may have been contaminated by suboptimal equipment reprocessing or as a result of personnel changes. The frequency of TASS decreased (1 of 44 cataract operations) after reassignment of personnel and revision of equipment reprocessing procedures. Further investigation identified the presence of impurities (eg, sulfates, copper, zinc, nickel, and silica) in autoclave steam moisture, which was attributed to improper maintenance of the autoclave steam generator in the outpatient surgical center. When impurities in autoclave steam moisture were eliminated, no cases of TASS were observed after more than 1,000 cataract operations.
Conclusion.
Suboptimal reprocessing of cataract surgical equipment may evolve over time in busy, multidisciplinary surgical centers. Clinically significant contamination of surgical equipment may result from inappropriate maintenance of steam sterilization systems. Standardization of protocols for reprocessing of cataract surgical equipment may prevent outbreaks of TASS and may be of assistance during outbreak investigations.
The bovine β-casein (CSN2) gene has been shown to span a region of 8·5 kb, containing nine exons and eight intervening introns (Bonsing et al. 1988; Martin et al. 2002). The exons range in size from 24 to 498 bp; the introns, however, are much larger and account for 85% of the gene. Twelve genetic variants in the coding sequence of the β-casein gene have been reported (Farrell et al. 2004). The A2 allele of the β-casein gene has been associated with a higher milk production (Lin et al. 1986; Bech & Kristiansen, 1990) while the B variant has been associated with an increase in protein content and better cheesemaking properties (Marziali & Ng-Hang-Kwai, 1986). The β-casein gene codes for a protein of 209 amino acids with varying regions at codons 67, 106 and 122. The A1 variant differs from A2 at position 67, where a histidine replaces a proline (Lien et al. 1992). The β-casein A2 variant has histidine and the A3 variant has glycine at position 106 (Lien et al. 1992); the β-casein A2 variant has serine at position 122 and the β-casein B variant has arginine at this codon (Stewart et al. 1987; Damiani et al. 1992).
Hyperprolactinaemia induced by D2 dopamine receptor antagonist antipsychotic medication can result in significant health problems.
Aims
To examine the role of DRD2 polymorphism on prolactin levels in patients treated with antipsychotic medication.
Method
Antipsychotic drugs with different degrees of D2 receptor binding were given to 144 patients with schizophrenia. Serum prolactin levels were obtained and Taq1A DRD2 alleles were determined.
Results
Prolactin levels increased across medication groups reflecting increasingly tight D2 receptor binding (clozapine, olanzapine, typical antipsychotics and risperidone). In the combined medication group, patients with the DRD2∗A1 allele had 40% higher prolactin levels than patients without this allele. In patients treated with clozapine (the loosest D2 receptor binding agent), patients with the DRD2∗A1 allele had prolactin levels twice those of patients without this allele.
Conclusions
Patients with the DRD2A1 allele receiving antipsychotic medications had higher prolactin levels and were overrepresented among those with hyperprolactinaemia, suggesting greater functional D2 receptor binding in this group.
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