PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “Performance benchmarking”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 595 records · Page 33Linked to original sources

Characteristics and financial performance of a pediatric faculty inpatient attending service: a resource-based relative value scale analysis.

OBJECTIVES: In many children's hospitals, inpatient attending physician services are provided by academic faculty who function as part-time inpatient specialists or hospitalists. Although some have claimed that hospitalist care can reduce length of stay and total hospital resource use and expenses, there are few benchmarks or data regarding physician productivity or the characteristics and financial performance of these programs. The resource-based relative value scale (RBRVS) is a valuable tool for developing national benchmarks and comparing the financial performance of inpatient programs at varying daily census and reimbursement levels. The objectives of this study were to 1) describe physician productivity on an inpatient service as measured by total relative value units (TRVUs) and professional charges, 2) determine whether inpatient collections were adequate to support faculty salaries for the time spent attending, and 3) develop a model to evaluate financial performance of inpatient programs at varying census and TRVU reimbursement levels. METHODS: A retrospective review of hospital discharge and faculty practice billing data between June 1997 and July 1998 was conducted in a general medical service in a regional, 208-bed, university-affiliated children's hospital in the Pacific Northwest. RESULTS: Of 4113 patients who were admitted to the children's hospital general medical service during a 12-month period, faculty part-time hospitalists (N = 28) served as the attending physician for 1738 (42%). On an annual basis, faculty attended for an average of 29.1 days (median: 21.0; range: 7.0-97.0), with an average daily patient census (ADC) of 7.2 (median: 6.5; range: 2.8-12.0). Inpatient attendings billed for 1738 initial visits and 3957 subsequent visits. Total physician productivity for the inpatient attending group during 1 year included 12 085 TRVUs and gross professional charges of $777 743. The average payment, or conversion factor (CF), was $24.46/TRVU (71% of Medicare CF). The cash collection rate was 38%, reflecting a payor mix that included 54% Medicaid, 28% commercial payors, 12% health maintenance organization, and 6% other payors. On a weekly basis, physicians generated an average of 109 TRVUs and collected $2665 in cash. The average salary cost per RVU was $23.40, and weekly faculty salary and benefit expenses were $2550. After operating expenses and academic taxes totaling 24% were deducted ($5.87/TRVU), RBRVS-based payments and cash collections covered 79% of average faculty weekly salaries. Financial modeling showed that either an average CF of $31/TRVU or an ADC of 9 patients per day on the inpatient service would be required to generate sufficient revenue to support physician salaries and operating expenses. CONCLUSIONS: For a faculty inpatient attending service in a children's hospital with an ADC of 7, a $24.46 RBRVS-based CF payment is inadequate to support faculty salaries and operating expenses for the time spent attending. Inpatient services in similar payor environments with comparable expenses and staffed by faculty who care for fewer than 9 patients per day will not cover typical faculty salary costs and operating expenses.

Benchmarking↗

A framework for diabetes documentation and quality management in Germany: 10 years of experience with DPV.

The DPV approach for quality management and documentation of diabetes in Germany consists of three basic modules: the diabetes documentation software DPV, semi-annual benchmarking for diabetes units (QC-DPV), and a data pool for diabetes research (DPV-SCIENT). The documentation system is available for general practices as well as for hospitals, and it supports the daily routine work of the diabetes team. The system covers a superset for all important data sets of quality initiatives in Germany. Longitudinal analyses of quality indicators related to diabetes are integrated. Twice a year, nation-wide benchmarking for pediatric diabetic units are performed, evaluating the outcome of their diabetes therapy. An improvement in completeness of control examinations could be observed during the last years in QC-DPV. The DPV-SCIENT data pool contains about 251000 single examinations of 21000 patients with diabetes. At least 53% of all patients with Type 1 diabetes in Germany who are less than 20 years of age are documented in DPV-SCIENT.

Benchmarking↗

Reducing laboratory turnaround time outliers can reduce emergency department patient length of stay: an 11-hospital study.

Poor core laboratory performance that causes delays in diagnosis and treatment is an impediment to optimal patient care, particularly in high-volume patient care areas such as the emergency department (ED). To evaluate the impact of laboratory performance on patient care outcomes, we obtained data from 11 hospitals related to laboratory test turnaround time (TAT) parameters and ED patient throughput. We observed that the average length of stay (LOS) in the ED correlated significantly with the percentage of total laboratory outliers (R2 = 0.75; P < .01) and to a lesser extent the TAT means (R2 = 0.66; P < .01). Furthermore, improvements in laboratory performance during the study were associated with concurrent decreases in ED LOS. Although in the past, laboratories have focused on TAT means for performance assessment, our observations suggest that a more appropriate method of benchmarking might be to aggressively set clinically driven TAT targets and assess performance as the percentage of results achieving this goal.

Clinical Laboratory Techniques↗

The effects of knowledge management on surgeon behavior.

Knowledge management is an important process for health care researchers and administrators. The way we manage and transfer knowledge in an organization can have a substantial impact on behavior and performance. In this article, we examine the behavioral effects of transferring performance-efficiency knowledge to a group of hospital-based surgeons. We observe the way the knowledge transfer impacts their sense of professional accountability and practice patterns for a limited set of diagnoses. We defined performance efficiency for a surgeon as the deviation from expected average length of inpatient hospital stay, and from expected average hospital charges (adjusted for risk and outcomes) for three of the most frequently performed and most costly surgical procedures in our subject hospital. We communicated knowledge of their performance efficiency to the group of hospital-based surgeons, along with benchmarked professional best practices, and included an identification of dimensions where performance could be improved. We then measured and compared their performance efficiency one year later. We did observe differences in performance efficiency, but not in consistent directions, and not in statistically significant magnitudes. Also, surgeons who initially had low levels of efficiency continued to have low levels of efficiency one year later. Within a professional accountability system, transfer of performance-efficiency knowledge alone did not provide sufficient motivation to induce consistent, significant change in practice behaviors among the group of surgeons. We conclude that medical opinion leaders and individualized strategies for surgeon motivation may have greater promise for improving performance efficiency if linked to the knowledge transfer system.

Diagnosis-Related Groups↗

Benchmarks for health expenditures, services and outcomes in Africa during the 1990s.

There is limited information on national health expenditures, services, and outcomes in African countries during the 1990s. We intend to make statistical information available for national level comparisons. National level data were collected from numerous international databases, and supplemented by national household surveys and World Bank expenditure reviews. The results were tabulated and analysed in an exploratory fashion to provide benchmarks for groupings of African countries and individual country comparison. There is wide variation in scale and outcome of health care spending between African countries, with poorer countries tending to do worse than wealthier ones. From 1990-96, the median annual per capita government expenditure on health was nearly US$ 6, but averaged US$ 3 in the lowest-income countries, compared to US$ 72 in middle-income countries. Similar trends were found for health services and outcomes. Results from individual countries (particularly Ethiopia, Ghana, Côte d'Ivoire and Gabon) are used to indicate how the data can be used to identify areas of improvement in health system performance. Serious gaps in data, particularly concerning private sector delivery and financing, health service utilization, equity and efficiency measures, hinder more effective health management. Nonetheless, the data are useful for providing benchmarks for performance and for crudely identifying problem areas in health systems for individual countries.

Africa↗

Pangenomes aid accurate detection of large insertions and deletions from targeted sequencing: the case of cardiomyopathies.

BACKGROUND: Gene panels represent a widely used strategy for genetic testing in a vast range of Mendelian disorders. While this approach aids reliable bioinformatic detection of short coding variants, it often fails to detect many larger variants. Recent studies have recommended the adoption of pangenome references (as opposed to linear reference genomes like GRCh38) to augment detection of large variants from targeted sequencing, potentially providing diagnostic laboratories with the possibility to streamline diagnostic work-ups and reduce costs. METHODS: Here, we analyze 1969 cardiomyopathy cases and 1805 controls sequenced with the Illumina Trusight Cardio panel using a pangenome-based workflow (GRAF) and five conventional orthogonal methodologies (GATK HaplotypeCaller, GATK-gCNV, ExomeDepth, Manta and Lumpy-SV) to detect variants &#x2265;&#x2009;20&#xa0;bp in size. RESULTS: Following lab-based variant validation by means of PCR and Sanger sequencing, we show that GRAF conjugates higher precision and recall (F1 score 0.86) compared with other methods (F1 0-0.57) in detecting potentially pathogenic variants &#x2265;&#x2009;20&#xa0;bp from short-read panel data. Results were complemented by a comparison of the tools' performance in detecting ground truth variants on reference sample HG002 from Genome In A Bottle, which confirmed GRAF to outperform other tools also on exome sequencing (F1 0.97 vs. 0-0.94). Notably, in the HG002 benchmark dataset, GRAF also showed slightly improved performance compared to GATK HaplotypeCaller in the identification of small variants (1-19&#xa0;bp; F1 0.975 vs. 0.968). CONCLUSIONS: Our results indicate that pangenome-based workflows aid improved detection of large variants from targeted sequencing data in the clinical context and suggest that they may contribute to more unified variant detection frameworks for all-size genetic variants in the future.

Humans↗

Fast modular network implementation for support vector machines.

Support vector machines (SVMs) have been extensively used. However, it is known that SVMs face difficulty in solving large complex problems due to the intensive computation involved in their training algorithms, which are at least quadratic with respect to the number of training examples. This paper proposes a new, simple, and efficient network architecture which consists of several SVMs each trained on a small subregion of the whole data sampling space and the same number of simple neural quantizer modules which inhibit the outputs of all the remote SVMs and only allow a single local SVM to fire (produce actual output) at any time. In principle, this region-computing based modular network method can significantly reduce the learning time of SVM algorithms without sacrificing much generalization performance. The experiments on a few real large complex benchmark problems demonstrate that our method can be significantly faster than single SVMs without losing much generalization performance.

Algorithms↗

Clinical benchmarking: implications for perinatal nursing.

Health care is a dynamic environment where expectations of quality must be balanced with appropriateness of treatment and cost of care. Managers often have inadequate information on which to base decisions, policy, and practice. Clinical benchmarking is a tool and a process of continuously comparing the practices and performances of one's operations against those of the best in the industry or the focused area of service and then using that information to enhance and improve performance and productivity. The article discusses the advantages and disadvantages of benchmarking as well as the factors influencing the need for such tools in health care and in perinatal nursing.

Benchmarking↗

Benchmarking mental health care in a general hospital.

Benchmarking is a tool that allows practitioners to compare and measure their own performance against best practice. Two trusts took a joint approach to benchmarking mental health in a general hospital. They set up a benchmarking comparison group, whose members explored the six elements of the mental health benchmark and identified examples of best practice. The group then scored practice and compared scores. Finally, guidance sheets were produced on assessing and planning care in a general hospital for people with mental health needs. These are included as part of a mental health resource pack for each clinical area in the general hospital.

Benchmarking↗

Interhospital differences in nosocomial infection rates: importance of case-mix adjustment.

BACKGROUND: Nosocomial infection rates are used to assess patient safety and the effectiveness of health care systems, but adjustment for case-mix, a key factor for benchmarking, is often overlooked. OBJECTIVES: To perform a nationwide prevalence study of nosocomial infection and evaluate the impact of hospital size on infection rates. METHODS: One-week-period prevalence study in 18 acute care hospitals ranging from small primary to large tertiary care institutions. All adult inpatients in medical, surgical, and intensive care units hospitalized at time of study were included. Infection prevalence and case-mix determinants were calculated according to hospital size. After each factor was tested for its significance on the occurrence of nosocomial infection, all factors were introduced in a multivariate model with hospital size as the main explanatory variable and nosocomial infection as the dependent variable. RESULTS: Among 4252 patients, 429 developed 470 nosocomial infections, for an overall prevalence of 10.1% (intensive care units, 29.7%; medical, 9.3%; surgical, 9.2%; and mixed wards, 14.1%). Unadjusted prevalence rates were 6.1% in small, 10.0% in intermediate, and 10.9% in large hospitals (P =.007). Increased comorbidity (odds ratio, 1.80), cancer (1.68), trauma (1.75), neutropenia (4.66), antibiotic exposure (6.64), history of intensive care unit stay (2.14), referral from another hospital (1.87), intubation for 24 hours or more (2.09), and prolonged stay (3.35) were independently associated with nosocomial infection (all P<.05), but hospital size was not. CONCLUSIONS: Higher infection rates observed in larger hospitals were partly associated with unfavorable case mix. Unadjusted rates may lead to erroneous assumptions for health care prioritization.

Aged↗

Timeliness of childhood immunisation in Australia.

There are few data, especially outside the United States, examining the timeliness of childhood vaccination, although it is of key importance for diseases such as pertussis, and invasive disease due to Haemophilus influenzae type b and Streptococcus pneumoniae. The aim of this study was to use the unique resource of the Australian Childhood Immunisation Register (ACIR) to examine trends in and factors associated with timeliness of infant vaccination at the national level. As in previous studies, age-appropriate immunisation was defined as within 30 days of the recommended age. Vaccination delays became more common for later doses, given at an older age, but long delay (greater than 6 months) occurred in only 1-2%. Although immunisation coverage increased over time, timeliness did not improve. Among Indigenous infants, long delays occurred in 5-12% of those residing in very remote areas, but by 2 years of age, overall immunisation coverage was similar to non-Indigenous children. With immunisation coverage at the key indicator ages of 12 and 24 months now high in most industrialised countries including Australia, timeliness of vaccine doses should be the next benchmark to aim for in program performance, especially in specific sub-groups such as Indigenous children who stand to gain most from prevention of early onset disease.

Australia↗

A methodology to explain neural network classification.

Neural networks are still frustrating tools in the data mining arsenal. They exhibit excellent modelling performance, but do not give a clue about the structure of their models. We propose a methodology to explain the classification obtained by a multilayer perceptron. We introduce the concept of 'causal importance' and define a saliency measurement allowing the selection of relevant variables. Once the model is trained with the relevant variables only, we define a clustering of the data built from the hidden layer representation. Combining the saliency and the causal importance on a cluster by cluster basis allows an interpretation of the neural network classifier to be built. We illustrate the performances of this methodology on three benchmark datasets.

Classification↗

The efficiency of the community dental service in England: a data envelopment analysis.

OBJECTIVES: To assess the efficiency with which health authorities' Community Dental Services provide dental care in England. METHODS: A data envelopment analysis of inputs (hours worked by dental officers, therapists, hygienists and others) and outputs (screening, treatment, prevention) of the Community Dental Service (CDS) was conducted. Relative efficiency ratings of the CDS by health authority were further analysed in order to identify external factors which effect efficiency and are outside the control of the Community Dental Service. RESULTS: The relative efficiency of the CDS varies widely in England--on average the CDS is operating at 75% of efficient levels compared to best-practice services. This could not be explained by plausible factors outside the CDS's control, such as differences in deprivation and urban-rural differences between health authorities. CONCLUSIONS: These results, if validated by further studies, should be disturbing since many Community Dental Services services appear to be under-performing. However, this data-driven study could not uncover the detailed context of an individual service's performance. A useful next step would be detailed case-studies of several "star" and under-performing services to search for deeper reasons underpinning relative performance levels.

Benchmarking↗

Characteristics of 'low risk' and 'high risk' dives by young adults: risk reduction in spinal cord injury.

STUDY DESIGN: To establish benchmark normative data for dive entries performed by young adults of the age range most likely to sustain a diving spinal cord injury. Data acquired from analysis of the dives performed, along with survey information, were used to determine which factors make the most contribution to the level of risk in diving. OBJECTIVES: To identify influential variables which could contribute to risk of spinal cord injury for each of four types of dives. The types of dives investigated were: dive entries from deck level to tread water (Treadwater); deck level to swim 25 m (Deck); starting block height to swim 25 m (Block); and a running dive entry to swim 25 m (Running). SETTING: Victoria, Australia. METHODS: Ninety-five first year university students (average age 19.9 years) performed three or four dives which were video-recorded for later analysis. Maximum depth reached was used as an indicator of risk, and velocity at maximum depth, distance at maximum depth, angle of entry and flight distance were measured for each dive. Participants also completed a questionnaire designed to elicit information about their swimming and diving background. Unlike previous diving studies, participants were recreational rather than competitive swimmers. They were not aware that the dive was the focal point, assuming that the researchers were investigating their swimming and treadwater ability. RESULTS: A stepwise multiple regression was applied to predict depth for each dive condition, and demonstrated that four variables were able to account for 56% of the variance for Treadwater, 68% for Deck; 73% for Running and 79% for Block. In all conditions involving swimming after the dive (ie Deck, Block and Running), beta weights showed that distance at maximum depth had the greatest influence on the depth of a dive. Flight distance and angle of entry were the next most influential variables. For the Treadwater condition, beta weights showed angle of entry was the most influential variable, followed by velocity at maximum depth, distance at maximum depth and swim rank. CONCLUSION: It is recommended that divers strive to surface in as short a distance as possible by maximising flight distance and aiming for a low entry angle. Implementation of steering-up techniques will assist in minimising dive depth.

Adult↗

Quasiclassical trajectories on a finite element density functional potential energy surface: The C++H2O reaction revisited.

A new method for the representation of potential energy surfaces (PESs) based on the p version of the finite element method is presented and applied to the PES of the [COH2]+ system in order to study the C++H2O-->[COH]++H reaction through the quasiclassical trajectory method. Benchmark ab initio computations have been performed on the most relevant stationary points of the PES through a procedure that incorporates basis set extrapolations, the contribution of the core correlation energy, and scalar relativistic corrections. The electronic structure method employed to compute the many points needed to construct the PES is a hybrid density functional approach of the B3LYP type with geometry-dependent parameters, which improves dramatically the performance with respect of the B3LYP method. The trajectory computations shed light on the behavior of the COH2+ complex formed in the collision. At a fixed relative translational energy of 0.62 eV, which corresponds to the crossed beam experiments [D. M. Sonnenfroh et al., J. Chem. Phys. 83, 3985 (1985)], the complex dissociates significantly into the reactants (37%). However, the behavior for a thermal sampling at T=300 K is significantly different because only 9% of the trajectories where capture occurs lead to dissociation into the reactants. The latter kind of behavior is coherent with the view that simple ion-molecule reactions proceed quite often at the capture rate provided it is corrected by the fraction of the electronic states which, being nearly degenerate for the reactants, become attractive at short distances. For both T=300 K and crossed beam conditions, the trajectory computations indicate that COH2+ is the critical intermediate, in agreement with a recent work [Y. Ishikawa et al., Chem. Phys. Lett. 370, 490 (2003)] and in contrast with the interpretation of the crossed beam experiments. Besides, virtually all trajectories generate COH++H (>99%), but a significant proportion of the isoformyl cation is formed with enough vibrational energy as to surmount the COH+-HCO+ isomerization barrier, about 37% at T=300 K.

Journal Article↗

Safe working hours--doctors in training a best practice issue.

In 1995, the Australian Medical Association launched its Safe Working Hours campaign. By 1998, this had been developed into a National Code of Conduct that continues to resonate in the Australian public health system. However, and particularly in respect of Doctors in Training (DITs) who continue to work long hours, there are levels of resistance to proposals that seek to re-organise work or change prevailing professional and cultural expectations. Long working hours have substantial impacts on a DIT's capacity to consistently deliver high quality patient care, dilute the effectiveness of their training regime and have negative consequences on their health, social life and family responsibilities. While public hospitals often maintain the view that minimal budget flexibility restricts their capacity to affect change in a positive way, in fact devisable productivity and efficiency gains can be achieved by reducing working hours. Further, the medical profession needs to consider whether long hours provide an optimal environment for quality learning and performance.

Australia↗

Embryo transfer: how to ensure correct placement in utero.

A review of current literature (1990-2000) was undertaken to identify factors that are important in the correct placement of embryos in utero. Although there are no absolute prerequisites, ultrasound monitoring to ensure correct catheter placement, pretreatment assessment of the cervical canal, minimization of trauma, avoidance of mucus and the use of a 'soft' catheter are all considered important factors in this process. Early patient mobilization after the transfer procedure has not been shown to influence the outcome. The establishment of a benchmark against which to evaluate individual performance and participation in 'refresher courses' if indicated will help to maximize the implantation rates of the assisted reproductive technology programme as a whole.

Embryo Transfer↗

Victoria Symptom Validity Test scores of patients with profound memory impairment: nonlitigants case studies.

Victoria Symptom Validity Test (VSVT) scores from six nonlitigants with neurological illness accompanied by dense anterograde amnesia or severe memory impairment are presented. All of these patients obtained perfect or near perfect scores on the VSVT. These data add to the literature suggesting that the VSVT is insensitive to genuine neurologically-based memory impairment and provide an additional floor-level clinical benchmark against which to compare the performance of litigants.

Adult↗