Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Data Accuracy”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

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

At least 289 records · Page 16Linked to original sources
PubMed1996

Accuracy of mortality data for interstitial lung diseases in New Mexico, USA.

BACKGROUND: The sensitivity and accuracy of death certificates and mortality data as sources of population based data on the occurrence of interstitial lung diseases has received limited attention. To determine the usefulness of these data sources, death certificates and mortality data from patients in New Mexico were examined. METHODS: Patients with an interstitial lung disease were identified from a population based registry. For subjects who had died, diagnostic information from their death certificates and from mortality data was compared with the clinical diagnoses made before death. RESULTS: Of 385 patients with a clinical diagnosis of an interstitial lung disease, 134 died between October 1988 and August 1994. Death certificates were obtained for 96% of these patients. An interstitial lung disease was listed somewhere on the death certificate for only 46% of the patients, and as an immediate cause of death for only 15%. For the patients with an interstitial lung disease listed somewhere on the death certificate the overall concordance between the diagnoses before death and those on the death certificate was 76%. Mortality data for the State of New Mexico showed a diagnosis of interstitial lung disease to be the assigned cause of death for only 22% of the patients. The overall agreement between the diagnoses made before death and those of the state mortality data was only 21%. CONCLUSIONS: These results suggest that death certificates and state mortality data are neither sensitive nor accurate for describing the occurrence of interstitial lung diseases. This finding may partly explain the apparently low mortality rates from idiopathic pulmonary fibrosis in the USA compared with other countries.

Adult↗
PubMed2006

The accuracy of Minimum Data Set diagnoses in describing recent hospitalization at acute care facilities.

OBJECTIVES: The Minimum Data Set (MDS) is the resident assessment instrument used to guide clinical care, reimbursement, and assess quality in long-term care facilities. This database has been used in many studies, although the accuracy of many data elements remains unknown. This study evaluated the accuracy of the MDS diagnosis variables with respect to the diagnoses for recent hospitalization from Medicare claims data. DESIGN: Retrospective cohort study. SETTING: 945 skilled nursing facilities in Ohio. PARTICIPANTS: 17,294 residents admitted from an acute care facility during 2000. MEASUREMENTS: Eleven diagnoses listed in the MDS were compared with Medicare hospital discharge claims. Specifically, each MDS diagnosis was compared to the primary diagnosis, the list of secondary diagnoses, and the Diagnosis Related Group (DRG). RESULTS: Claims diagnoses were listed in the MDS with an average frequency of 79% (range: 31%-94%) for the primary diagnosis, 66% (range: 33%-90%) for any diagnosis, and 71% (range: 31%-94%) for the DRG. MDS diagnoses were listed as the primary diagnosis, any diagnosis, and DRG with an average frequency of 20% (range: 6%-81%), 62% (range: 41%-86%), and 19% (range: 7%-84%), respectively, with only hip fracture listed more than 80% of the time. CONCLUSION: The sensitivity of the MDS for listing diagnoses from recent hospitalization appears good for most diagnoses. However, except for hip fracture, the MDS has poor predictive value with regard to the primary reason for the preceding hospitalization; this may have implications for resident care planning and the utility of this database in long-term care research.

Activities of Daily Living↗
PubMed2001

Accuracy of administrative data to assess comorbidity in patients with heart disease. an Australian perspective.

The objective of this study was to determine the accuracy of administrative data (by use of hospital discharge codes) for measuring comorbidity in patients with heart disease. One thousand seven hundred and sixty-five medical records of subjects admitted to hospital for AMI, unstable angina, angina pectoris, chronic IHD or heart failure were reviewed. The number and types of comorbidities were determined from the medical records (regarded as the "gold standard"). These were compared with the 10 discharge codes obtained from the hospital administrative records (referred to as the "administrative data"). The rate of false-negative and false-positive comorbidity diagnoses were determined. Twenty of the 21 comorbidities studied were underreported in the administrative data. For these 20 comorbidities, the median false-negative rate was 49.5% and ranged from 11% for diabetes to 100% for dementia. False-positive rates were low, less than 1.5%, except for chronic arrythmia (4.8%) and hypertension (4.2%). Mean percent agreement was high, ranging from 88% for hypertension to 100% for AIDS/HIV. Administrative data based on hospital discharge codes consistently underestimate the presence of comorbid conditions in our population. This has implications for administrators when estimating mortality, length of stay and disability. Researchers also need to be aware when using administrative data based on hospital discharge codes to assess subject's comorbidities that they may be widely underreported.

Aged↗
PubMed2000

Continuous training as a key to increase the accuracy of administrative data.

The aim of this study was to evaluate the impact of a program of training, education and awareness on the accuracy of the data collected from hospital discharge abstracts. Four random samples of hospital discharge abstracts relating to four different periods were studied. The evaluation of the impact of systematic training and education activities was performed by checking the quality of abstracting information from the medical records. The analysis was carried out at the Istituto Dermopatico dell'Immacolata, a research hospital (335 beds) in Rome, Italy, which specializes in dermatology, plastic and vascular surgery. Error rates in discharge abstracts were subdivided into six categories: selection of the wrong principal diagnosis (type A); low specificity of the principal diagnosis (type B); incomplete reporting of secondary diagnoses (type C); selection of the wrong principal procedure (type D); low specificity of the principal procedure (type E); incomplete reporting of procedures (type F). A specific rate for errors modifying classification in diagnosis related groups (DRG) was then estimated and the effect of re-abstracting on the case-mix index evaluated. Error types A, B, C, E and F dropped from 8.5% to 2%, 15.8 to 4.9, 31.8 to 13.1,4.1 to 0.3 and 22 to 2.6%, respectively. Error type D was 0.7 both in the first (the baseline) and fourth periods of analysis. All differences in error types were statistically significant. In 1999 8.3% of cases were assigned to a different DRG after re-abstracting as compared with 24.3% in the third quarter of 1994, 23.8% in the first quarter of 1995 and 5.5% in September-October 1997. Continuous training and feedback of information to departments have shown to be successful in improving the quality of abstracting information at patient level from the medical record. These positive results were facilitated by the introduction of a prospective payment system to finance inpatient hospital activity. The effort to increase administrative data quality at hospital level facilitates the use of those data sets for internal quality management activities.

Abstracting and Indexing↗
PubMed1992

Systematic inclusion of clinical and laboratory data improves diagnostic accuracy of fine-needle aspiration biopsy in solitary thyroid nodules.

In this study, we identified clinical and laboratory markers of malignant thyroid nodules and determined whether systematic inclusion of these data could improve diagnostic accuracy of fine-needle aspiration biopsy in solitary thyroid nodules. The patients were 24 men and 105 women who underwent surgical removal of solitary thyroid nodules and had adequate fine-needle aspiration biopsy performed prior to surgery. Including fine-needle aspiration biopsy's diagnosis of suspected of malignancy in the same category as malignancy, the sensitivity and specificity of fine-needle aspiration biopsy were 71.4% and 85.1%, respectively, with an accuracy of 82.2%. Using stepwise linear regression analysis, clinical data, i.e. increasing age, irregular nodule surface, hard consistency of nodule, and high serum thyroglobulin concentration, were associated with an increased risk of malignancy when the cytological result was excluded. When cytology was also considered, male sex, irregular nodule surface and high serum thyroglobulin concentration were found to be associated with an increased risk of malignancy. The diagnostic value of clinical data alone, even in combination with cytology or laboratory data, was inferior to that of fine-needle aspiration biopsy alone. The specificity and accuracy of fine-needle aspiration biopsy could be increased to 98.0% and 90.7%, respectively, whereas its sensitivity was decreased to 64.3% when these variables were considered in combination. Therefore, of fine-needle aspiration biopsy, clinical and laboratory data, fine-needle aspiration biopsy alone has the highest diagnostic value, which can be increased only when both clinical characteristics and serum thyroglobulin concentration are systematically included.

Adult↗
PubMed1986

Tests of the accuracy of a data reduction method for determination of acoustic backscatter coefficients.

The accuracy of a new method for measuring ultrasonic backscatter coefficients was tested, using narrow-band pulses and well-defined media having scatterers randomly distributed in space. Experimentally determined values agree very well with theoretical values for wide ranges of experimental parameters, these ranges being applicable in measurements made on human soft tissues. An important outcome is that the method yields accurate results for scattering media positioned anywhere from the nearfield through the farfield of the nonfocused transducers employed. In addition, backscatter coefficients can be determined for a broad range of gate durations.

Humans↗
PubMed2005

[Effects of the accuracy of reference data on NIR prediction results].

Reference data are indispensable to build near-infrared spectroscopy (NIR)calibration models. In the present paper, the effects of the accuracy of reference data on NIR calibration models and its prediction results were studied through two routine applications based on partial least square regression methods. The results indicate that the best NIR calibration statistics and the most accurate prediction results were aligned with the most accurate reference data. However, based on statistical analysis of numerous calibration samples, it is possible for NIR calibration models to obtain more accurate prediction results than the laboratory reference data used in the calibration sets. It is better to make less search for high accurate reference data and instead to introduce more calibration samples to improve the ruggedness of the calibration models.

Benzene↗
PubMed1992

An audit of the quality of cancer registration data.

The accuracy of cancer registration data in the East of Scotland (Tayside) Cancer Registry was audited by comparing 200 consecutive registrations (about 10% of the annual total) with the 'gold standard' of the Histopathology records. ICD codes were independently generated by a pathologist by examining final pathology reports and then compared to those codes given by the local cancer registrar. Discrepancies were graded by the pathologist and the epidemiologist according to severity. Major errors of coding were few. Minor and moderate differences in coding occurred because of the nature and structure of the coding system and the manner in which data are retrieved. The level of detail required by the Cancer Registry needs to be evaluated.

Medical Audit↗
PubMed1992

How accurate are SMR1 (Scottish Morbidity Record 1) data?

The accuracy of recording of data on SMR1 forms was reviewed for gastrointestinal diagnoses in the Greater Glasgow Health Board area and compared to previous studies. A total of 778 cases from 1987 formed the study sample and 761 (96.9%) were available for review. Recording on the SMR1 appears to have improved since 1971 and there were relatively few errors in the basic details. The crude agreement between DG1C data (primary diagnosis) and the casenote diagnosis was 560/761 (73.6%) with a Kappa statistic of 0.67. Agreement about the presence of arthritis (as a co-diagnosis) was poor so that uncritical use of SMR1 data might lead to serious underestimation of resource measures, such as length of stay, for patients with significant arthritis in addition to a gastrointestinal problem. In these data patients with arthritis found on casenote review and not recorded on the SMR1 had mean lengths of stay between 61% and 70% greater than patients without any evidence of significant arthritis.

Abstracting and Indexing↗
PubMed2003

Accuracy of Medicare claims data for rheumatologic diagnoses in total hip replacement recipients.

This analysis was performed to examine whether Medicare claims accurately document underlying rheumatologic diagnoses in total hip replacement (THR) recipients. We obtained data on rheumatologic diagnoses including rheumatoid arthritis (RA), avascular necrosis (AVN), and osteoarthritis (OA) from medical records and from Medicare claims data. To examine the accuracy of claims data we calculated sensitivity and positive predictive value using medical records data as the "gold standard" and assessed bias due to misclassification of claims-based diagnoses. The sensitivities of claims-based diagnoses of RA, AVN, and OA were 0.65, 0.54, and 0.96, respectively; the positive predictive values were all in the 0.86-0.89 range. The sensitivities of RA and AVN varied substantially across hospital volume strata, but in different directions for the two diagnoses. We conclude that inaccuracies in claims coding of diagnoses are frequent, and are potential sources of bias. More studies are needed to examine the magnitude and direction of bias in health outcomes research due to inaccuracy of claims coding for specific diagnoses.

Arthritis, Rheumatoid↗
PubMedDate not supplied

Main component assay of pharmaceuticals by capillary electrophoresis: considerations regarding precision, accuracy, and linearity data.

Capillary electrophoresis has been successfully employed to determine the level of drugs in a variety of pharmaceutical preparations. A large number of reports have shown agreement between CE results and HPLC data or with label claim. Currently the use of CE for main component assays constitutes 26% of the routine usage of CE within drug companies and is the most frequent application. The choice between adopting CE or HPLC for a particular application is very dependent upon the relative merits of each technique to the individual assay. Often, CE can have advantages in terms of reduced sample pretreatment, consumable costs, and analysis time. The ability to separate a wide range of solutes using a single set of operating conditions is a strong advantage of CE. This paper extensively reviews the literature reports of the use of CE for main peak assay and indicates the validation performance data achieved. The specific requirements relating to optimized accuracy and precision in CE assay are discussed in some detail. The use of an appropriate internal standard to improve performance for precision, accuracy, and linearity, and to reduce the impact of sample matrix effects, is experimentally shown by results from the analysis of levothyroxine samples. The applications are subdivided into those samples analyzed by free solution capillary electrophoresis (FSCE) at low or high pH or those separated by micellar electrokinetic capillary electrophoresis (MECC).

Chromatography, High Pressure Liquid↗
PubMed1997

Accuracy of administrative data for assessing outcomes after knee replacement surgery.

OBJECTIVE: To assess the accuracy of information in an administrative database (Canadian Institute for Health Information; CIHI) compared with the hospital record for patients undergoing knee replacement (KR). METHODS: A stratified random sample of 185 KR recipients from 5 Ontario hospitals were chosen. Their hospital records and corresponding CIHI files were compared to assess percent complete agreement, false negative (FN) and false positive (FP) rates for demographic data, procedures, and diagnoses. RESULTS: Of 185 records, 175 (95%) were reviewed. Percent complete agreement was greater than 94% for each of patient demographics and procedures (mean FN rates: 0%; mean FP rates: 0-5%). For comorbidities and complications, although mean percent complete agreement was high, and FP rates were low, mean FN rates were 63% for specific comorbid conditions and 70% for organ systems. CONCLUSIONS: High FN rates have been found in documentation of comorbidities and in-hospital complications for CIHI data compared with the hospital record. Under-coding of comorbidities and in-hospital complications has potential implications for researchers using administrative databases.

Comorbidity↗
PubMed2004

Assessing the accuracy of administrative data in health information systems.

BACKGROUND: Administrative data play a central role in health care. Inaccuracies in such data are costly to health systems, they obscure health research, and they affect the quality of patient care. OBJECTIVES: We sought to prospectively determine the accuracy of the primary and secondary diagnoses recorded in administrative data sets. RESEARCH DESIGN: Between March and July 2002, standardized patients (SPs) completed unannounced visits at 3 sites. We abstracted the 348 medical records from these visits to obtain the written diagnoses made by physicians. We also examined the patient files to identify the diagnoses recorded on the administrative encounter forms and extracted data from the computerized administrative databases. Because the correct diagnosis was defined by the SP visit, we could determine whether the final diagnosis in the administrative data set was correct and, if not, whether it was caused by physician diagnostic error, missing encounter forms, or incorrectly filled out forms. SUBJECTS: General internal medicine outpatient clinics at 2 Veterans Administration facilities and a large, private medical center participated in this study. MEASURES: A total of 45 trained SPs presented to physicians with 4 common outpatient conditions. RESULTS: The correct primary diagnosis was recorded for 57% of visits. Thirteen percent of errors were caused by physician diagnostic error, 8% to missing encounter forms, and 22% to incorrectly entered data. Findings varied by condition and site but not by level of training. Accuracy of secondary diagnosis data (27%) was even poorer. CONCLUSIONS: Although more research is needed to evaluate the cause of inaccuracies and the relative contributions of patient, provider, and system level effects, it appears that significant inaccuracies in administrative data are common. Interventions aimed at correcting these errors appear feasible.

Cohort Studies↗
PubMed2004

Accuracy of clinical data in a population based vascular registry.

INTRODUCTION: Clinical databases are increasingly being employed to evaluate the quality of treatments, including patients with peripheral vascular disease. Valid data is vital to the value of these analyses. OBJECTIVE: To assess the validity of clinical data in a population-based national vascular registry. DESIGN: Traditional reproducibility study was supplemented by refilling of data by an independent observer, thereby creating three data sets for comparison. MATERIALS AND METHODS: Twenty prospectively recorded electronic forms from each department were selected randomly from the Danish National Vascular Registry. Data forms were refilled by the surgeons of the department concerned, and by an independent member of the board of the Danish National Vascular Registry. Refilling was performed blinded to the original forms. CONCLUSIONS: A high degree of accuracy of clinical data can be achieved. An independent observer makes it possible to evaluate the classification of observer dependent parameters and explain differences in the reproducibility of data.

Databases, Factual↗
PubMedDate not supplied

Accuracy of minimum data set in identifying residents at risk for undernutrition: oral intake and food complaints.

OBJECTIVE: to evaluate the accuracy of nursing home (NH) staff in documenting two Minimum Data Set (MDS) items that are used to identify residents at risk for undernutrition, low oral intake and food complaints, using standardized observation and interview assessment protocols implemented by research staff. DESIGN AND METHODS: MDS information related to low oral intake (item K4c: <75% of most meals) and complaints about the taste of food (item K4a) was compared to independent evaluations of low oral intake and food complaints for a random sample of 75 residents in two proprietary NHs within the same month that a complete MDS assessment was due for each participant. Direct observations were conducted by research staff during nine mealtime periods for 3 consecutive days according to a standardized mealtime observational protocol to estimate low oral intake; and, two one-on-one interviews with residents were conducted on two consecutive days using standardized questions to assess the stability of food complaints. RESULTS: Research staff documentation based on direct observation and resident interviews showed a significantly larger number of residents being identified as potentially at risk for undernutrition due to low oral intake (73%) and/or stable complaints about the taste of food (32%) as compared with NH staff documentation of MDS items K4c (44%) and K4a (0%), respectively, within the same month. A total of 47% of the participants expressed stable complaints about some aspect of the NH food service (eg, variety, appearance, temperature). CONCLUSION: The documentation of low oral intake and food complaints on the MDS was inaccurate and resulted in a significant underestimate of residents with either of these risk factors for undernutrition.

Journal Article↗
PubMedDate not supplied

Accuracy of administrative data for identifying patients with pneumonia.

The goal of this study was to determine the accuracy and the impact of 5 different claims-based pneumonia definitions. Three International Classification of Diseases, Version 9, (ICD-9), and 2 diagnosis-related group (DRG)-based case identification algorithms were compared against an independent, clinical pneumonia reference standard. Among 10748 patients, 272 (2.5%) had pneumonia verified by the reference standard. The sensitivity of claims-based algorithms ranged from 47.8% to 66.2%. The positive predictive values ranged from 72.6% to 80.8%. Patient-related variables were not significantly different from the reference standard among the 3 ICD-9-based algorithms. DRG-based algorithms had significantly lower hospital admission rates (57% and 65% vs 73.2%), lower 30-day mortality (5.0% and 5.8% vs 10.7%), shorter length of stay (3.9 and 4.1 days vs 5.6 days), and lower costs (USD $4543 and USD $5159 vs USD $8585). Claims-based identification algorithms for defining pneumonia in administrative databases are imprecise. ICD-9-based algorithms did not influence patient variables in our population. Identifying pneumonia patients with DRG codes is significantly less precise.

Aged↗
PubMed2004

Elective primary caesarean delivery: accuracy of administrative data.

The caesarean delivery rate has become a commonly used measure intended to reflect the quality of obstetric care. At least 25% of all primary caesarean deliveries occur electively, i.e. to women who are not in labour. This study is intended to validate a previously published model designed to use ICD-9-CM codes to identify and categorise cases of elective primary caesarean delivery by their indication. ICD-9-CM codes were compared with diagnoses written in the medical record for all women without a prior caesarean who delivered in the same month in a single hospital to examine the accuracy of the codes for 12 potential elective primary caesarean indications derived by the published model: malpresentation; bleeding; genital herpes; severe hypertension; uterine scar; multiple gestation; macrosomia; unengaged fetus; maternal soft tissue conditions; other hypertensive conditions; prematurity; and chromosomal anomalies. Of 440 eligible women, a total of 26 (5.9%) had an elective primary caesarean by medical record review vs. [27] (6.1%) by administrative data. Using medical record data as the gold standard, the sensitivity, specificity, and accuracy of administrative data for the identification of elective primary caesarean delivery were 73.1%, 98.1%, and 96.6%, respectively. Administrative coding for all of the 12 conditions was highly specific, although wide variability existed in its sensitivity; its accuracy ranged between 83.9% and 100%. These results suggest that, despite widespread use of caesarean delivery rates obtained through administrative data, more experience is needed to determine which obstetric codes may be sufficiently specific, sensitive, or prevalent to serve a monitoring or surveillance function reflecting the quality of obstetrical care. The results support continued efforts to use administrative data to monitor elective primary caesarean delivery.

Adult↗
PubMed1983

Accuracy of hospital discharge data: five alcohol-related diseases.

Accuracy of hospital discharge register data was studied by comparing 954 randomly selected abstracts to the respective medical records. The average percentages of agreement were: date of birth 98, date of admission 96, date of discharge 94, area of residence 93, principal diagnosis 91, disposition on discharge 89, marital status 84, third diagnosis 83, second diagnosis 76, social group 74, occupation 60, and source of admission 49. Accuracy of items was not related to alcohol etiology. An analysis of variance indicated that the number of items in agreement varied by both diagnosis and type of hospital.

Alcoholic Intoxication↗