Effect of specialist retrieval teams on outcomes in children admitted to paediatric intensive care units in England and Wales: a retrospective cohort study.

BACKGROUND: Intensive care services for children have undergone substantial centralisation in the UK. Along with the establishment of regional paediatric intensive care units (PICUs), specialist retrieval teams were set up to transport critically ill children from other hospitals. We studied the outcome of children transferred from local hospitals to PICUs. METHODS: We analysed data that were gathered for a cohort of children (

Identifying the optimal search strategy for coronary heart disease patients in primary care electronic patient record systems.

OBJECTIVES: General practitioners are increasingly required to practice in a paperless environment and to collect clinical data electronically on electronic patient record (EPR) systems. A principal step in meeting general practice information needs continues to be the establishment of disease registers and consequently the identification of patient populations within primary care databases is a prerequisite. This study aims to identify and validate the optimal search strategy for coronary heart disease (CHD). METHODS: A multiple logistic regression model for the identification of CHD patients was developed in one site using electronic data, the receiver operating characteristic (ROC) curve and Bayesian statistics. The model was tested on two trial sites. RESULTS: Young male CHD patients are more easily identified by generic searches than older females. The optimal search strategy for CHD was found to be the diagnostic code for CHD, nitrate and digoxin but this was dependent on the disease description, age and sex of the study population and the coding system used within the database. Diagnostic code for CHD identified 80.6% (95% confidence interval (CI) 77-83%), 90.0% (CI 88-92%) and 95.9% (CI 94-97%) of local, national and international definitions respectively, with 100% positive predictive values (PPVs) for all definitions. CONCLUSION: Generic queries may inadvertently perpetuate inequalities in health care. Queries should be bespoke and mindful of the conceptualization of disease by the clinicians recording these data.

Three steps to data quality.

BACKGROUND: The quality of data in general practice clinical information systems varies enormously. This variability jeopardizes the proposed national strategy for an integrated care records service and the capacity of primary care organisations to respond coherently to the demands of clinical governance and the proposed quality-based general practice contract. This is apparent in the difficulty in automating the audit process and in comparing aggregated data from different practices. In an attempt to provide data of adequate quality to support such operational needs, increasing emphasis is being placed on the standardisation of data recording. OBJECTIVE: To develop a conceptual framework to facilitate the recording of standardised data within primary care. METHOD: A multiprofessional group of primary care members from the South Thames Research Network examined leading guidelines for best practice. Using the nominal group technique the group prioritized the information needs of primary care organisations for managing coronary heart disease according to current evidence. RESULTS: Information needs identified were prioritized and stratified into a functional framework. CONCLUSION: It has been possible within the context of a primary care research network to produce a framework for standardising data collection. Motivation of front-line clinicians was achieved through the incorporation of their views into the synthesis of the dataset.

Systematic review of scope and quality of electronic patient record data in primary care.

OBJECTIVE: To systematically review measures of data quality in electronic patient records (EPRs) in primary care. DESIGN: Systematic review of English language publications, 1980-2001. DATA SOURCES: Bibliographic searches of medical databases, specialist medical informatics databases, conference proceedings, and institutional contacts. STUDY SELECTION: Studies selected according to a predefined framework for categorising review papers. DATA EXTRACTION: Reference standards and measurements used to judge quality. RESULTS: Bibliographic searches identified 4589 publications. After primary exclusions 174 articles were classified, 52 of which met the inclusion criteria for review. Selected studies were primarily descriptive surveys. Variability in methods prevented meta-analysis of results. Forty eight publications were concerned with diagnostic data, 37 studies measured data quality, and 15 scoped EPR quality. Reliability of data was assessed with rate comparison. Measures of sensitivity were highly dependent on the element of EPR data being investigated, while the positive predictive value was consistently high, indicating good validity. Prescribing data were generally of better quality than diagnostic or lifestyle data. CONCLUSION: The lack of standardised methods for assessment of quality of data in electronic patient records makes it difficult to compare results between studies. Studies should present data quality measures with clear numerators, denominators, and confidence intervals. Ambiguous terms such as "accuracy" should be avoided unless precisely defined.

An evaluation of general practice websites in the UK.

BACKGROUND: General practice websites are an emerging phenomenon, but there have been few critical evaluations of their content. Previously developed rating instruments to assess medical websites have been criticized for failing to report their reliability and validity. OBJECTIVES: The purpose of this study was to develop a rating instrument for assessing UK general practice websites, and then to evaluate them critically. METHODS: The STaRNet Website Assessment Tool (SWAT) was developed listing criteria that general practice websites may meet, which was then used to evaluate a random sample of websites drawn from an electronic database. A second assessor rated a subsample of the sites to assess the tool's inter-rater reliability. The setting was an information technology group of a general practice research network using a random sample of 108 websites identified from the database. The main outcome measures were identification of rating criteria and frequency counts from the website rating instrument. RESULTS: Ninety (93.3%) sites were accessible, of which 84 were UK general practice websites. Criteria most frequently met were those describing the scope of the website and their functionality. Apart from e-mail to practices, criteria related to electronic communication were rarely met. Criteria relating to the quality of information were least often met. Inter-rater reliability kappa values for the items in the tool ranged from -0.06 to 1.0 (mean 0.59). Values were >0.6 for 15 out of 25 criteria assessed in 40 sites which were rated by two assessors. CONCLUSIONS: General practice websites offer a wide range of information. They are technically satisfactory, but do not exploit fully the potential for electronic doctor-patient communication. The quality of information they provide is poor. The instrument may be developed as a template for general practices producing or revising their own websites.