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PubMed1994

Data quality in hospital strategic information systems: a summary of survey findings.

Fundamental changes in health care financing and delivery have resulted in an unprecedented need for data and information. The application of computer technology to daily hospital operations has gone far toward aiding various kinds of organizational decision making. The quality of those decisions, however, is dependent upon the quality of the data delivered by the various information systems used in the course of health care delivery and management. What remains unknown is the extent to which poor data quality occurs and what actions are taken to measure and control data quality in information systems used for strategic decision making. This article summarizes the results of a survey that was conducted for the purpose of explaining what information systems are important to hospital administrators in their strategic decision making, the frequency with which strategic decision makers encounter data quality problems, and what, if any, actions are taken to prevent, control, or correct apparent data quality problems.

Attitude of Health Personnel↗
PubMed2005

Mode of questionnaire administration can have serious effects on data quality.

BACKGROUND: One of the main primary data collection instruments in social, health and epidemiological research is the survey questionnaire. Modes of data collection by questionnaire differ in several ways, including the method of contacting respondents, the medium of delivering the questionnaire to respondents, and the administration of the questions. These are likely to have different effects on the quality of the data collected. METHODS: This paper is based on a narrative review of systematic and non-systematic searches of the literature on the effects of mode of questionnaire administration on data quality. RESULTS: Within different modes of questionnaire administration, there were many documented potential, biasing influences on the responses obtained. These were greatest between different types of mode (e.g. self-administered versus interview modes), rather than within modes. It can be difficult to separate out the effects of the different influences, at different levels. CONCLUSIONS: The biasing effects of mode of questionnaire administration has important implications for research methodology, the validity of the results of research, and for the soundness of public policy developed from evidence using questionnaire-based research. All users of questionnaires need to be aware of these potential effects on their data.

Bias↗
PubMed1997

Data quality objectives for surface-soil cleanup operation using in situ gamma spectrometry for concentration measurements.

In situ gamma spectrometry is an efficient method for monitoring the progress of cleanup activities for radioactive contaminants in surface soil and for evaluating the attainment of cleanup standards. However, desired data precision and accuracy must be specified for such a detection system prior to the operation to ensure that the level of uncertainty associated with the concentration measurements is acceptable. A method for developing data quality objectives is described in this paper for in situ gamma spectrometry to achieve numerical goals for data precision and accuracy for cleanup operations. Concentration measurement for a radionuclide at its cleanup level must have a precision commensurate with the importance of cleanup decisions. The 95% lower limit of detection of the system is suggested to be about one tenth the expected system response at the cleanup level. The count time required to achieve the preferred 95% lower limit of detection, and hence the desired precision, can then be determined. The accuracy error arises from the overall calibration factor, which relates the detector responses (e.g., count rate) to physical quantities of interest (e.g., radionuclide soil concentration). The major source of error for the calibration factor using in situ gamma spectrometry is the misidentification of the type of the depth profile of radionuclide concentration in soil. If surrogate radionuclides are used, such as 241Am for plutonium, the variation in the concentration ratio would be another significant source of error. Soil sampling programs performed prior to a cleanup operation will greatly reduce the accuracy error for an in situ detection system, and the analysis of system errors may determine the degree of sampling required. The planning of such a program is discussed in the study. Uncertainty analysis using a Latin Hypercube sampling technique for the calibration factor is also demonstrated. The quantitative result of the uncertainty analysis is useful for determining a nuclide's maximum peak count rate using gamma spectrum that ensures the attainment of the cleanup standard for that nuclide with a pre-specified confidence level (e.g., 95%). The cleanup operation of 239,240Pu in surface soil in the safety shot areas at the Nevada Test Site serves as an example to illustrate the data quality objectives development.

Americium↗
PubMed2005

Data quality in an information-rich environment: Canada as an example.

This review evaluates the quality of available administrative data in the Canadian provinces, emphasizing the information needed to create integrated systems. We explicitly compare approaches to quality measurement, indicating where record linkage can and cannot substitute for more expensive record re-abstraction. Forty-nine original studies evaluating Canadian administrative data (registries, hospital abstracts, physician claims, and prescription drugs) are summarized in a structured manner. Registries, hospital abstracts, and physician files appear to be generally of satisfactory quality, though much work remains to be done. Data quality did not vary systematically among provinces. Primary data collection to check place of residence and longitudinal follow-up in provincial registries is needed. Promising initial checks of pharmaceutical data should be expanded. Because record linkage studies were ''conservative'' in reporting reliability, the reduction of time-consuming record re-abstraction appears feasible in many cases. Finally, expanding the scope of administrative data to study health, as well as health care, seems possible for some chronic conditions. The research potential of the information-rich environments being created highlights the importance of data quality.

Canada↗
PubMed2006

Fundamental data quality assessments of clinical trials in Japan.

Along with continued efforts to improve data quality in clinical trials, it is imperative to make critical assessments about the recognition, traceability, and validation of the data on final outputs of clinical trials. The present study investigated protocols in 36 clinical trials and case report forms (CRFs) for 141 patients. CRFs were categorized as Book Type (BT), Visit Type (VT), and Separate binding Type (ST). The achievement of recognition, traceability, and validation of the data in CRFs was assessed using arbitrary grading scales. There were significant differences between the VT and BT conditions in terms of traceability and validation 1 (the integrity of clinical laboratory test data). No significant differences were observed among the three types of CRFs in terms of recognition and validation 2 (verification of test drug compliance). These findings indicate that the traceability and the integrity of clinical laboratory test data depend on the structure of the CRFs used, whereas recognition and verification of test drug compliance were more matters of protocol design. Therefore, of the three CRFs, the VT CRF is considered to be the best choice of format for collecting clinical trial data as it maximizes the quality of clinical trials until electronic document systems are adopted.

Chi-Square Distribution↗
PubMed1999

[Evaluation of population data quality and coverage of registration of deaths for the Brazilian regions].

OBJECTIVE: The evaluation of the quality of population data and coverage of death statistics for all Federal Brazilian Units by sex in 1990. METHODS: The population data came from censuses and the recorded death data from "Fundação Instituto Brasileiro de Geografia e Estatística" and the Health Ministry. The population data were evaluated by applying classical demographic methods. Three techniques were chosen to evaluate the extent of death registration coverage. RESULTS: The degree of precision of the age statement for the majority of the Brazilian regions improved the status from "low precision" or "moderate" to "precise" during the 80's. The coverage of deaths in 1990 was classified as "good" or "satisfactory" for all Federal Units in the South, Southeast and Centre-West and for the Northeastern States below Rio Grande do Norte. All the remaining states were classified as "regular" or "unsatisfactory". CONCLUSIONS: There was a significant improvement in the quality of the census population data and an increase in the coverage of death. It is possible to obtain get reliable mortality indicators for many Brazilian States.

Adolescent↗
PubMed2001

Scalp electrode impedance, infection risk, and EEG data quality.

OBJECTIVES: Breaking the skin when applying scalp electroencephalographic (EEG) electrodes creates the risk of infection from blood-born pathogens such as HIV, Hepatitis-C, and Creutzfeldt-Jacob Disease. Modern engineering principles suggest that excellent EEG signals can be collected with high scalp impedance ( approximately 40 kOmega) without scalp abrasion. The present study was designed to evaluate the effect of electrode-scalp impedance on EEG data quality. METHODS: The first section of the paper reviews electrophysiological recording with modern high input-impedance differential amplifiers and subject isolation, and explains how scalp-electrode impedance influences EEG signal amplitude and power line noise. The second section of the paper presents an experimental study of EEG data quality as a function of scalp-electrode impedance for the standard frequency bands in EEG and event-related potential (ERP) recordings and for 60 Hz noise. RESULTS: There was no significant amplitude change in any EEG frequency bands as scalp-electrode impedance increased from less than 10 kOmega (abraded skin) to 40 kOmega (intact skin). 60 Hz was nearly independent of impedance mismatch, suggesting that capacitively coupled noise appearing differentially across mismatched electrode impedances did not contribute substantially to the observed 60 Hz noise levels. CONCLUSIONS: With modern high input-impedance amplifiers and accurate digital filters for power line noise, high-quality EEG can be recorded without skin abrasion.

Artifacts↗
PubMed1989

Assessing data quality: a computerized approach.

With the growing reliance on large health care data bases, the need to verify data quality increases as well. Because of the considerable costs involved in checks using primary data collection, a computerized methodology for performing such checks is suggested. The technique seems appropriate for any situation where two data collection systems (i.e. hospital discharge abstracts and physician claims for payment) relate to the same event, such as a patient's hospitalization. After reviewing other approaches, this paper suggests linking physician claims for performing particular surgical procedures with hospital discharge abstracts for the stay in which the surgery took place. Physician and hospital data for adults age 25 and over in Manitoba from 1 April, 1979 to 31 March, 1984 were used to address the questions: 1. How well can the two data sets be linked? 2. Given linkage of the two data sets, how much agreement is there as to procedure and diagnosis? Linkage between hospital and physician data was excellent (over 95%) for 5 out of 11 surgical procedures (hysterectomy, prostatectomy, total hip replacement, coronary artery bypass surgery, and heart valve replacement); there was over 90% perfect agreement for three other procedures (cholecystectomy, cataract surgery and total knee replacement). Problems with matching the Manitoba Health Services Commission tariffs (on physician claims) with ICD-9-CM operation codes (on hospital data) led to only 77% perfect agreement for vascular surgery and 84% for gallbladder and biliary tract operations other than cholecystectomy; over 10% of the cases linked on surgeon and date but not on the designated procedures.(ABSTRACT TRUNCATED AT 250 WORDS)

Data Collection↗
PubMed2004

Assessing DTI data quality using bootstrap analysis.

Diffusion tensor imaging (DTI) is an established method for characterizing and quantifying ultrastructural brain tissue properties. However, DTI-derived variables are affected by various sources of signal uncertainty. The goal of this study was to establish an objective quality measure for DTI based on the nonparametric bootstrap methodology. The confidence intervals (CIs) of white matter (WM) fractional anisotropy (FA) and Clinear were determined by bootstrap analysis and submitted to histogram analysis. The effects of artificial noising and edge-preserving smoothing, as well as enhanced and reduced motion were studied in healthy volunteers. Gender and age effects on data quality as potential confounds in group comparison studies were analyzed. Additional noising showed a detrimental effect on the mean, peak position, and height of the respective CIs at 10% of the original background noise. Inverse changes reflected data improvement induced by edge-preserving smoothing. Motion-dependent impairment was also well depicted by bootstrap-derived parameters. Moreover, there was a significant gender effect, with females displaying less dispersion (attributable to elevated SNR). In conclusion, the bootstrap procedure is a useful tool for assessing DTI data quality. It is sensitive to both noise and motion effects, and may help to exclude confounding effects in group comparisons.

Adult↗
PubMed2006

The other side of clinical trial monitoring; assuring data quality and procedural adherence.

BACKGROUND: Data monitoring can mean different things. It can mean statistical methodologies for clinical trial monitoring, interim data analysis, monitoring for quality control or assurance or safety reporting to regulatory agencies. PURPOSE: The various facets of data monitoring will be discussed and reviewed from primarily an industry perspective. METHODS: By careful attention to the design and conduct of a clinical trial, the expense of monitoring can be markedly reduced. Careful attention should be given to the qualifications of investigators in the selection of clinical sites and central facilities. Site personnel must be adequately trained. The sponsor should utilize appropriately qualified individuals to supervise the overall conduct of the trial. The monitor should visit the investigator at the site of the investigation frequently enough to ensure acceptable quality. The monitor is responsible for inspecting the case report forms at regular intervals. Quality control should be applied to each stage of data handling to ensure that all data are reliable and have been processed correctly. The auditor will assess whether the site is being monitored in accordance with the monitoring plan. The determination of the extent and nature of monitoring should be based on considerations such as the objective, design and complexity of the trial. Statistical sampling may be an acceptable method for selecting the data to be verified. The monitor should ensure that adverse events are reported. Study data will be monitored on an ongoing basis to ensure patient safety. The sponsor may utilize a Data Monitoring Committee to protect the validity of a trial. CONCLUSIONS: Discussions between industry, academia and regulatory groups regarding the optimal extent and methods for monitoring of clinical trials are encouraged.

Adverse Drug Reaction Reporting Systems↗
PubMed1993

Multi method approach to the assessment of data quality in the Finnish Medical Birth Registry.

OBJECTIVE: To assess comprehensively the validity of the data in the Finnish Medical Birth Registry (MBR) by the combined use of several controls and internal analysis of the data. DESIGN: The MBR data were individually linked to a medical record sample (n = 775) and to all perinatal death certificates in 1987. The data were also compared with annual hospital statistics. The distributions of birth weights and gestational ages were examined. SUBJECTS: All stillborn and liveborn babies registered in the MBR in 1987 (n = 59,370). SETTING: The nationwide MBR data were compared with medical records from one third of the Finnish hospitals, with statistics for all hospitals, and with nationwide cause of death registry data. MEASUREMENTS AND MAIN RESULTS: With regard to most variables, the data quality was good or satisfactory (agreement with medical records 95% or more). Allowing for minor deviations in variables with continuous scales improved the agreement rates further. Explanations could be deduced for items with poor agreement values. For most variables, the amount of missing data was less than 1%. With the exception of caesarean sections, medical procedures were registered in only 30 to 72% of the cases, and the proportion varied strongly between the hospitals. Common diagnoses (32 to 86%) and primary causes of death (59 to 78%) were also poorly recorded. CONCLUSIONS: Combined use of several control materials and internal analyses was successful in investigating the whole data content. The data in the MBR were generally valid but diagnoses and most data on medical procedures were not of sufficiently good quality.

Birth Certificates↗
PubMed1998

Can hospital discharge diagnosis be used for surveillance of bacteremia? A data quality study of a Danish hospital discharge registry.

OBJECTIVE: To assess the data quality of septicemia and sepsis registration in a hospital discharge registry in the County of Northern Jutland, Denmark. DESIGN: Comparison of data from the discharge registry of an 880-bed, public, urban hospital in the County of Northern Jutland with data from a computerized bacteremia database at the regional department of clinical microbiology. SETTING: Urban hospital with approximately 45,000 admissions per year. PATIENTS: The study included 406 episodes of bacteremia in the bacteremia database and 83 discharges with the diagnosis of septicemia registered in the hospital discharge registry between January 1, 1994, and December 31, 1994. INTERVENTIONS: None. RESULTS: Eighteen episodes were registered in both the hospital discharge registry and the bacteremia database. Using the bacteremia database as reference standard, the sensitivity for the diagnosis of septicemia in the hospital discharge registry was 4.4% (18/406; 95% confidence intervals [CI95, 2.4%-6.4%]). By review of hospital records, we estimated the positive predictive value of septicemia registration in the hospital discharge registry as 21.7% (18/83; CI95, 12.8%-30.5%). No blood culture had been obtained in 44.4% (36/81; CI95, 33.6%-55.3%) of the cases with a discharge diagnosis of septicemia. In 33.3% (27/81; CI95, 23.1%-43.6%), the discharge diagnosis of septicemia was given, although blood cultures were negative. CONCLUSIONS: The hospital discharge registry revealed numerous misclassifications, and the system was found not suited for surveillance of, or research in, bacteremia at present.

Bacteremia↗
PubMedDate not supplied

Application of data quality objectives and measurement quality objectives to research projects.

This paper assists systematic planning for research projects. It presents planning concepts in terms that have some utility for researchers. For example, measurement quality objectives are more familiar to researchers than data quality objectives because these quality criteria are more closely associated with the measurement systems being used. Because of the diverse nature of research, it is not possible to describe cookbook-style planning procedures to be used in all cases. Instead, several general concepts and techniques are presented and researchers can choose those techniques that best fit their specific projects. Examples are presented to illustrate the techniques.

Air Pollutants↗
PubMed2004

On the role of data quality in experimental charge-density studies.

High-resolution X-ray diffraction data were collected at T = 19 K from two similar spherical crystals of the fungal metabolite citrinin, C(13)H(14)O(5). The two data sets were of markedly different quality, one data set (MQ, medium quality) comprising a single octant of the reciprocal lattice and including reflections with obviously peculiar intensity profiles while the second (HQ, high quality) comprised a hemisphere of reflections and showed no flawed profiles. Parallel multipolar refinements were carried out for both. While most of the resulting geometric parameters, including bond lengths and angles, were in close agreement (the standard uncertainties were approximately twice as large for the MQ data, reflecting the smaller number of observations), the agreement is noticeably worse for electronic properties such as electron densities and their Laplacians at the bond and ring critical points. These latter features are especially sensitive to the quality of the low-angle (and strong) intensities, which was not high for the MQ data. By contrast, the magnitudes of the molecular dipole moment from the two experiments are the same within 1 standard uncertainty, with an angle of about 13 degrees between the two vectors. It is concluded that only true high-quality data allow a fully significant and quantitative analysis of the details of the experimental electron density rho(exp), while high-resolution medium-quality data, measured at very low temperature and adequately processed, can still be used for a qualitative analysis, or for the derivation of overall electronic properties.

Citrinin↗
PubMedDate not supplied

Data quality of a computerized medical birth registry.

Processed by a computerized medical birth registry system, the birth records of 20,103 deliveries, from February 1992 to February 1993, were digitized with medium registry. From 1 January to 28 February 1993, the original records (n = 2840 cases) of all 10 collaborative hospitals were requested for assessment of data quality. Thirty-six items were scored, data of poor quality was found in eight; acceptable quality in four; and good quality in 28. The feasibility of data transfer by floppy disc and per modem was evaluated. This registry system had effectively shortened data processing time and improved mutual feedback between the data centre and the delivery units. Errors resulting from technical faults originating in the preparation of data for computerization at hospital level could be effectively reduced. The validity of diagnosis remained as the major source of errors.

Birth Certificates↗
PubMed1998

Ensuring data quality in the pharmaceutical industry.

Education and training play a considerable part in efforts to enhance data quality in healthcare. How do other fields work toward data consistency? The author describes how professionals in the pharmaceutical industry manage their data.

Clinical Trials as Topic↗
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↗