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A nitrate biosensor based methodology for monitoring anoxic activated sludge activity.

An improved methodology based on a nitrate biosensor is developed and applied successfully for in-depth monitoring and study of anoxic activated sludge activities. The major advantages of the methodology are its simplicity, reliability and high data quality. The resulting data allowed for the first time to monitor anoxic respiration rate of activated sludge (nitrate uptake rate (NUR)) at a high time resolution making it clearly comparable with high frequency oxygen uptake rate (OUR) measurements obtained under aerobic conditions. Further, the anoxic respiration data resulting from a pulse addition of carbon source to endogenously respiring anoxic activated sludge shows a clear start-up phenomenon and storage tail that is usually also observed in high-frequency OUR measurements. Finally, the improved methodology can be expected to serve as an anoxic respirometer for activated sludge treatment plants where denitrification process occurs in single-step. Further, it can be used for a variety of purposes e.g. for toxicity and activity monitoring, process control and parameter estimation of the activated sludge process, similar to the aerobic respirometers.

Bioreactors↗

Geographical information systems for studying the epidemiology of cattle diseases caused by Theileria parva.

Data on selected variables which influence the epidemiology of cattle diseases caused by Theileria parva were assembled and entered in a computerised geographical information system. Variables studied included the distributions of major hosts (cattle and buffalo), the vector ticks (Rhipicephalus appendiculatus and related species) and the reported presence of East Coast fever, corridor disease and January disease. In addition, the distribution of climatic suitability for R appendiculatus was assessed using the model CLIMEX run on an interpolated climate database developed for Africa. Distribution maps of each variable were produced. The potential value of geographical information systems in studies of disease epidemiology and control is discussed, with examples of how sensitivity may be enhanced by the inclusion of additional variables. In addition, subject areas in which poor data quality and inadequate data standardisation may limit the use of these systems are identified and discussed.

Africa↗

An assessment of the completeness of the Massachusetts Burn Registry.

An opportunity to assess the completeness of reporting to the Massachusetts Burn Registry arose when data on the incidence of inpatient burns in Massachusetts became available from an independent source, the New England Regional Burn Program. The assessment showed that the level of reporting to the registry was approximately 20 percent and that substantial geographic variability existed. Other areas in which the registry is experiencing difficulties that bear on its potential usefulness include confusion about the type of burns that are reportable, lack of adequate control of data quality, and insufficient funds to support the registry's activities. Continuation of the present burn reporting system does not seem defensible in the absence of changes in either the reporting requirements or the reporting methods, because the level of reporting is low, the quality of the data is unknown, and the registry is not achieving goals of substantial public health importance.

Burns↗

Does pay-for-performance improve the quality of health care?

BACKGROUND: Most physicians and hospitals are paid the same regardless of the quality of the health care they provide. This produces no financial incentives and, in some cases, produces disincentives for quality. Increasing numbers of programs link payment to performance. PURPOSE: To systematically review studies assessing the effect of explicit financial incentives for improved performance on measures of health care quality. DATA SOURCES: PubMed search of English-language literature (1 January 1980 to 14 November 2005), and reference lists of retrieved articles. STUDY SELECTION: Empirical studies of the relationship between explicit financial incentives designed to improve health care quality and a quantitative measure of health care quality. DATA EXTRACTION: The authors categorized studies according to the level of the incentive (individual physician, provider group, or health care payment system) and the type of quality measure rewarded. DATA SYNTHESIS: Thirteen of 17 studies examined process-of-care quality measures, most of which were for preventive services. Five of the 6 studies of physician-level financial incentives and 7 of the 9 studies of provider group-level financial incentives found partial or positive effects on measures of quality. One of the 2 studies of incentives at the payment-system level found a positive effect on access to care, and 1 showed evidence of a negative effect on access to care for the sickest patients. In all, 4 studies suggested unintended effects of incentives. The authors found no studies examining the optimal duration of financial incentives for quality or the persistence of their effects after termination. Only 1 study addressed cost-effectiveness. LIMITATIONS: Few empirical studies of explicit financial incentives for quality were available for review. CONCLUSIONS: Ongoing monitoring of incentive programs is critical to determine the effectiveness of financial incentives and their possible unintended effects on quality of care. Further research is needed to guide implementation of financial incentives and to assess their cost-effectiveness.

Insurance, Health↗

The Multiple Sclerosis Impact Scale (MSIS-29): a new patient-based outcome measure.

Changes in health policy have underlined the importance of evidence-based clinical practice and rigorous evaluation of patient-based outcomes. As patient-based outcome measurement is particularly important in treatment trials of multiple sclerosis, a number of disease-specific instruments have been developed recently. One limitation of these instruments is that none was developed using the standard psychometric approach of reducing a large item pool generated from people with multiple sclerosis. Consequently, an outcome measure for clinical trials of multiple sclerosis that is disease specific and combines patient perspective with rigorous psychometric methods will complement existing instruments. The aim of this study was to develop such a measure. Standard psychometric methods were used. A pool of 129 questionnaire items was generated from interviews with 30 people with multiple sclerosis, expert opinion and literature review. The questionnaire was administered by postal survey to 1530 people selected randomly from the Multiple Sclerosis Society membership database. Redundant items and those with limited measurement properties were removed. The remaining items (n = 41) were grouped into scales using factor analysis, and then refined to form the Multiple Sclerosis Impact Scale (MSIS-29), an instrument measuring the physical (20 items) and psychological (nine items) impact of multiple sclerosis. Five psychometric properties of the MSIS-29 (data quality, scaling assumptions, acceptability, reliability and validity) were examined in a separate postal survey of 1250 Multiple Sclerosis Society members. A preliminary responsiveness study of the MSIS-29 was undertaken in 55 people admitted for rehabilitation and intravenous steroid treatment of relapses. The MSIS-29 satisfied all psychometric criteria. Data quality was excellent, missing data were low (maximum 3.9%), item test-re-test reliability was high (r = 0.65-0.90) and scale scores could be generated for >98% of respondents. Item descriptive statistics, item convergent and discriminant validity, and factor analysis indicated that it was legitimate to generate scores for MSIS-29 scales by summing items. MSIS-29 scales showed good variability, small floor and ceiling effects, high internal consistency (Cronbach's alpha <or=0.91) and high test-re-test reliability (intraclass correlation <or=0.87). Correlations with other measures and the analysis of group differences provided evidence that the MSIS-29 measures the physical and psychological impact of multiple sclerosis. Effect sizes (physical scale = 0.82, psychological scale = 0.66) demonstrated preliminary evidence of good responsiveness. These results indicate the MSIS-29 is a clinically useful and scientifically sound patient-based outcome measure of the impact of multiple sclerosis suitable for clinical trials and epidemiological studies.

Evidence-Based Medicine↗

Comparison of the quality of patient data collected by hospital and departmental computer systems.

The quality of patient data routinely collected in hospitals is rarely assessed, though by repute it may often be incomplete and inaccurate. To explore their completeness and accuracy, patient data separately collected by a hospital Patient Administration System (PAS) and by a departmental Clinical Information System (CIS) used by clinicians were compared. The results indicate that, although both systems appear to record reliably demographic and administrative data, PAS data are more complete than CIS data. Moreover clinicians and medical records staff seem to use classifications of diagnoses and procedures in profoundly different ways. More attention should be paid to the need to assess and improve data quality. The development of a shared database, used and validated by medical records staff and clinicians alike, may be the best way to achieve this.

Abstracting and Indexing↗

QIOs use hospital-supplied data in quality improvement efforts.

By early next year, consumers will be able to view on a government website how hospitals compare to each other on several clinical indicators. But that data is already proving to be beneficial to quality improvement organizations (QIOs) as they work with hospitals to improve performance.

Efficiency, Organizational↗

[Data and quality assurance tools from a new cardiac center in Denmark].

Open heart surgery was established at Aalborg Hospital in 1992. In the time period March to December 1992 cardiac anaesthesia was administered in 98 operations utilizing extracorporeal circulation and cardiopulmonary bypass. Mortality in coronary artery surgery was 1.6%. All patients were prospectively registered using a new dataform allowing registration of 228 patients related variables concerning preoperative status, course of anaesthesia and perfusion, surgery and postoperative intensive care. Quality assurance in cardiac surgery requires risk factor analysis, and registration of numerous data is a necessary tool. The software for our database system has been developed and programmed using the database programme dBASE IV from the Ashton/Tate Corporation.

Adult↗

Mortality for tracheal, bronchial and lung cancer: possibilities and limits in data quality-control.

Linkage of various archives (municipal, hospital, autopsy) has enabled the authors to reconstruct the flow of information regarding death due to tracheal, bronchial or lung cancer (TBL ca) for the population residing within the Municipality of Ferrara during the period 1983-1985. The authors subsequently attempted to verify the cause of death by performing quality controls on clinical charts, radiologic findings, cytohistologic examinations and autopsy findings. Analysis of the data obtained in this manner suggests that municipal records are more "accurate" than are hospital records. The authors likewise indicate the usefulness and importance of the autopsy for a correct diagnosis of cause of death.

Aged↗

An evaluation of population pharmacokinetics in therapeutic trials. Part III. Prospective data collection versus retrospective data assembly.

The ability to estimate population pharmacokinetic parameters of alprazolam from fragmentary clinical data collected during clinical efficacy trials was evaluated in this series of studies. In the first study modifications to the protocol and case report forms were employed to allow for the prospective collection of accurate dosing and blood sampling time data. In the second study only total daily dose and measured drug concentration data were recorded. Dosage and blood sampling time data were assembled retrospectively by assuming strict adherence to protocol guidelines. Comparisons of the results of these analyses demonstrate the marked impact of prospective data collection efforts on data quality and the ability to determine subsequent pharmacokinetic parameters. Analysis of the prospectively collected data yielded pharmacokinetic estimates for alprazolam that were nearly identical to previously reported values obtained according to traditional methods, whereas the analysis of retrospectively collected data yielded biased estimates of the mean pharmacokinetic parameters and markedly upward biased estimates of both interindividual and residual variability. These analyses demonstrate the ability to estimate population pharmacokinetic parameters from data collected during clinical efficacy trials, provided that critical issues pertaining to the design and use of data collection forms to enhance data quality and the education of patients and staff are satisfactorily addressed.

Adult↗

Rural cooperative coding project.

Data quality is the cornerstone on which other quality activities are built. The importance of accurately coded data cannot be overlooked. The Rural Cooperative Coding Project sought to collaborate with rural hospitals in Utah to improve the quality of that data through an individualized educational program allowing open and active discussions. We hope that this project has assisted rural facilities in building and enhancing their own ongoing coding and data quality improvement activities.

Abstracting and Indexing↗

Analysing longitudinal continuous quality of life data with dropout.

Quality of Life (QL) is becoming an increasingly popular endpoint in phase III cancer clinical trials. However, there is still no agreement as to what is the optimal approach to analysis. In this paper we review some concepts which should be considered during a QL analysis. We present two modelling approaches that have been substantively developed in other research fields: selection models and pattern-mixture models. These models are compared using data from an EORTC clinical trial in poor-prognosis prostate cancer patients. It is illustrated that, although selection models and pattern mixture are probabilistically equivalent, they may shed completely different light on data from a modeller's point of view.

Clinical Trials, Phase III as Topic↗

Improving the evaluation of therapeutic interventions in multiple sclerosis: development of a patient-based measure of outcome.

OBJECTIVES: To develop a patient-based, disease-specific measure of the health impact of multiple sclerosis (MS) for use in clinical trials and clinical practice. DATA SOURCES: People with MS. Members of the MS Society of Great Britain and Northern Ireland. METHODS: Standard psychometric methods were used to develop the Multiple Sclerosis Impact Scale (MSIS-29) in three stages. Stage 1 (item generation): questionnaire items were generated from 30 patient interviews on the impact of MS on their lives, expert opinion and literature review. Stage 2 (item reduction and scale generation): the questionnaire developed in stage 1 was administered by postal survey to 1530 randomly selected members of the MS Society. Standard item reduction techniques were used to develop a rating scale from the pool of questionnaire items. Stage 3 (psychometric evaluation): the questionnaire was evaluated for data quality, scaling assumptions, acceptability, reliability and validity in a separate postal survey of 1250 MS Society members. Responsiveness was evaluated in 55 people admitted to hospital for rehabilitation and intravenous steroid treatment of MS relapses. RESULTS: Stage 1 resulted in a 129-item questionnaire. Stage 2 resulted in a 29-item rating scale measuring the physical and psychological impact of MS. The MSIS-29 satisfied all recommended psychometric criteria for rigorous measurement. Data quality was excellent: missing data were low, item test-retest reliability was high and scale scores could be generated for over 98% of respondents. Item descriptive statistics, item convergent and discriminant validity, and factor analysis supported summing items to produce two summary scores. MSIS-29 physical and psychological scale scores showed good variability, low floor and ceiling effects, good internal consistency and test-retest reliability. Correlations with other measures and confirmation of hypotheses about group differences provided evidence for the validity of the MSIS-29 as a measure of the physical and psychological impact of multiple sclerosis. Effect sizes provided preliminary evidence for responsiveness. CONCLUSIONS: The 29-item MSIS-29 is a rigorous new measure of the physical and psychological impact of MS. All psychometric criteria were satisfied and there is preliminary evidence of responsiveness. The MSIS-29 is particularly appropriate for use in clinical trials to evaluate therapeutic effectiveness from the patient's perspective. Further critical evaluations of the MSIS-29 completed by people with neurologist-confirmed MS in different settings are suggested. Head-to-head comparisons of the psychometric properties of the MSIS-29 and other outcome measures for MS will help to determine the relative advantages of different instruments so that the choice of measures for studies can be evidence based.

Adult↗

Thyroid hormone for preventing of neurodevelopmental impairment in preterm infants.

BACKGROUND: Observational studies have shown an association between transiently low thyroid hormone levels in preterm infants in the first weeks of life (transient hypothyroxemia) and an abnormal neurodevelopmental outcome. Thyroid hormone therapy might prevent this morbidity. OBJECTIVES: To assess whether thyroid hormone therapy in preterm infants without congenital hypothyroidism results in clinically important changes in neonatal and long term outcomes in terms of both benefits and harms. SEARCH STRATEGY: The standard search strategy of the Neonatal Review Group was used. This included searches of the Oxford Database of Perinatal Trials, Cochrane Controlled Trials Register, MEDLINE, previous reviews including cross references, abstracts, conferences, symposia proceedings, expert informants and journal handsearching in the English language. SELECTION CRITERIA: All trials using random or quasi-random patient allocation, in which thyroid hormone therapy (either treatment or prophylaxis) was compared to a control in premature infants. DATA COLLECTION AND ANALYSIS: Primary clinical outcomes included measures of neurodevelopmental outcome and mortality. Assessment of trial quality, data extraction and synthesis of data, using relative risk (RR) and weighted mean difference (WMD), were performed using standard methods of the Cochrane Collaboration and its Neonatal Review Group. MAIN RESULTS: Eight studies were identified that compared thyroid hormone treatment to control. Four randomized or quasi-randomized studies met inclusion criteria (Chowdhry 1984, Amato 1989, van Wassenaer 1997 and Vanhole 1997). All studies enrolled preterm infants < 32 weeks gestation, but used different timing, dose and duration of treatment with thyroid hormones. Three studies used thyroxine, whereas Amato 1989 used triiodothyronine. Only two studies with neurodevelopmental follow-up were of good methodology (van Wassenaer 1997 and Vanhole 1997). All studies were of small size with the largest, van Wassenaer 1997, enrolling 200 infants. A lack of comparability of data (neurodevelopmental test or timing of follow-up) prevented meta-analytic pooling of the studies for neurodevelopmental outcomes. There was no significant difference in mortality to discharge (typical relative risk 0.74, 95% CI 0.44, 1.26) in infants who received thyroid hormone treatment compared to controls. In individual studies, no significant differences were found in neurodevelopmental outcomes including risk of abnormal neurological outcome, and Bayley Mental or Psychomotor Development Indices. No data were available for the incidences of cerebral palsy or sensorineural impairment. Fraction of inspired oxygen was lower in infants receiving triiodothyronine in one small quasi-randomized study (Amato 1989), but not in infants receiving thyroxine in a randomized study (Vanhole 1997). No other differences were found to suggest a reduced severity of respiratory distress syndrome in infants receiving early thyroid hormone therapy. REVIEWER'S CONCLUSIONS: This review does not support the use of thyroid hormones in preterm infants to reduce neonatal mortality, improve neurodevelopmental outcome or to reduce the severity of respiratory distress syndrome. The a posteriori subgroup analyses of data from one study (van Wassenaer 1997) which showed benefits in infants 24-25 weeks gestation should be treated with caution. The small number of infants included in trials incorporated in this review limits the power of the meta-analysis to detect clinically important differences in neonatal outcomes. Future trials should be of sufficient size to detect clinically important differences in neurodevelopmental outcomes. They should consider enrolling those infants most likely to benefit from thyroid hormone treatment such as infants born at less than 27 weeks gestation and use thyroid hormones as treatment instead of prophylaxis.

Developmental Disabilities↗

Client satisfaction data and quality improvement planning in managed mental health care organizations.

Quality improvement (QI) planning is enhanced when TQM administrators ensure appropriate analysis of client satisfaction (CS) survey data. A cost-effective QI strategy is to shift "moderately satisfied" into "maximally satisfied" clients. Use of a categorical variable derived from CS data and development of a predictive model with Chi Square Automatic Interaction Detection (CHAID) produces recommendations for quality improvement.

Chi-Square Distribution↗

The empowering potential of quality improvement data.

Data are being used to redefine, transform, and empower the roles of providers, payers, and patients. The empowering potential of data on these three groups, and their changing roles are reviewed. The use of data to transform care and increase equality is not new, yet the comprehensive application of principles of continuous quality improvement to the delivery processes is just beginning. The approach to the quality improvement processes employed by peer review organizations includes idea capture, development of intuitively appealing quality indicators, formulating the intervention, formalizing the research architecture, and quantifying the impact of the interventions. The multifaceted interventions for improvement are discussed. The future of medicine includes a greater use of data and the quantitative sciences to inspire improvement across the health care delivery continuum.

Data Collection↗

[Medico-economic impact of the Program of Medicalization of the Information System on hospital stay for myocardial infarction: influence of the quality of data collection and hospitalization length].

The aim of the Medicalisation Program of the Information System was to describe the activity of hospital for budget allocation. This work concerned the whole hospitalizations in the unit of intensive care of cardiology of Dijon for a myocardial infarction (MI) during the 1st half of 1998 (59 patients). The objectives of this study were: 1) the estimate of the real cost of MI management; 2) the comparison of this cost with the reference cost, determined from the data of the National Basis of Costs (BNC); 3) the economic impact of the quality of coding. The real global cost of MI was estimated at 2,323,542 FF (average by patient: 39,382 +/- 15,718 FF). Sixty eight per cent of the costs are directly related to the standing fixed overheads; in contrast, the medical and the therapeutic acts accounted for only 32% of the estimated real cost. A 52% over-estimation was highlighted between the estimated real cost and the cost of reference (p < 0.001). The errors of coding accounted for an under-estimation of only 3.6% of the cost of reference. The duration of hospitalization was significantly higher than the stay length taken from the national reference database (12.9 +/- 5.4 versus 9.2 +/- 2.1 days; p < 0.001), and was mainly responsible for these discrepancies of costs.

Costs and Cost Analysis↗