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At least 55 records · Page 3Linked to original sources
PubMed1979

An investigation into the distribution of radial immunodiffusion quality control data.

Quality control data from routine radial immunodiffusion assays for IgG, IgA, IgM, C3, C4 and alpha1-antitrypsin were tested by the Kolmogorov--Smirnov procedure for gaussian distribution. All but alpha1-antitrypsin were nongaussian in type. Further analysis of these date by plotting on log-normal probability paper showed them to have a log-normal distribution. Treatment of the date by either gaussian or nonparametric statistical methods produced little difference in confidence limits. It does not appear necessary to use nonparametric methods to calculate confidence limits from quality control data for the procedures studied.

Complement C3↗
PubMed1986

Controlling the cost of quality control.

In the present era of expanding technology coexisting with economic constraint, appropriate quality control criteria to monitor laboratory performance must take into consideration not only analytic precision and medical utility, but also cost effectiveness. In this review, the effect of existing criteria on the clinical laboratory, the regulator, and the vendor is explored. Factors that contribute to excessive quality control cost are delineated. Strategies for developing a cost-effective quality control program are proposed.

Costs and Cost Analysis↗
PubMed1984

A quality control simulator for design and evaluation of internal quality control procedures.

A computer simulation program has been developed to aid clinical chemists in the design and theoretical evaluation of statistical control procedures. This "QC simulator" permits the user to study the effects of different parameters characterizing the measurement procedure (method standard deviation, components of variation, rounding of results) and parameters of the control procedure (decision criteria, control limits, number of observations). The performance of control procedures is characterized by the probability for rejection, estimated at several different levels of random and systematic error. Predictive values for reject and accept signals are also calculated at different error incident rates, given a specified error model. The relative performance of different control procedures can be compared based on these performance characteristics. Another important application of the program is the design of control procedures to assure that a specified level of analytical quality is achieved in routine analyses. Various optimization criteria may be applied, e.g., in terms of test yield and cost.

Chemistry, Clinical↗
PubMed1991

Multirule quality control procedures.

Multirule quality control procedures employ combinations of individual quality control rules to increase the probability of error detection without increasing the probability of false rejections to unacceptable levels. Performance characteristics of several example multirule procedures are described, and general recommendations are made for their selection and use. Multistage quality control procedures tailor the control rules employed to the frequency of errors expected during a given phase of analyzer operation. During analyzer startup, sensitive rules are employed; after acceptable analyzer performance is demonstrated, less sensitive rules are used for routine monitoring. As they tend to deteriorate quality control rule performance, between-run variations should be minimized.

Chemistry, Clinical↗
PubMed1991

A quality control method in cardiac surgical outcome: experience in 462 patients.

The aim of our study is to verify the reliability, reproductiveness and simplicity of a method to control cardiac surgical results. We divided 462 adult patients, operated on for acquired heart disease from October 1989 to January 1991, into five classes according to an individual score which was predictive for their operative mortality risk. The score resulted from 15 different risk factors tested with univariate and multivariate analysis against one event: operative death. The total number of deaths was 12: 2, 2, 1, 2, 5 for each class respectively. When comparing the predicted versus our observed mortality, we found no statistically significant difference, using the chi-squared test. The method we used is highly predictive for surgical mortality risk: it makes the results objectively comparable among different institutions; it is useful as a self-controlled quality method for cardiac surgical activity in any single institution.

Adolescent↗
PubMedDate not supplied

[The SUVA (Swiss Accident Insurance Association) statistics and quality control].

Overall quality control in medicine takes place on various levels: Physician--Hospital--Insurer--Authorities, each having different requirements. Comparative standards are rather seldom. A model for a comparative standard for insurer purposes, the medical statistics package SUMEST' is presented. This model is diagnoses oriented and includes parameters for the severity of the accident, cost of treatment and treatment outcome, all based on 5-year data pool results.

Accidents, Occupational↗