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Biomedical subjects

H Britt

Publications and source records attributed to H Britt.

At least 37 records · Page 2Linked to original sources
PubMed1996

Warfarin prescribing.

The incident Monitoring in General Practice Project began as an initiative of the Professional Indemnity Review. Anonymous data from general practitioners about unintended, and possibly adverse events were collected in order to develop preventive strategies that might ultimately increase patient safety and therefore reduce litigation. Feedback and sharing of experiences and ideas about these events, possible management strategies or the project as a whole are invited from the readers.

Anticoagulants↗
PubMed1996

Clinical incidents in general practice. Communication between casualty departments and general practitioners.

The incident Monitoring in General Practice Project began as an initiative of the Professional Indemnity Review. Anonymous data from general practitioners about unintended, and possibly adverse events were collected in order to develop preventive strategies that might ultimately increase patient safety and therefore reduce litigation. Feedback and sharing of experiences and ideas about these events, possible management strategies or the project as a whole are invited from readers.

Australia↗
PubMed1996

Clinical incidents in general practice. A difficult paediatric diagnosis.

The Incident Monitoring in General Practice Project began as an initiative of the Professional Indemnity Review. Anonymous data from general practitioners about unintended, and possibly adverse events were collected in order to develop preventive strategies that might ultimately increase patient safety and therefore reduce litigation. Feedback and sharing of experiences and ideas about these events, possible management strategies or the project as a whole are invited from readers.

Child↗
PubMed1996

Tests and investigations. Indicators for better utilisation.

Diagnostic tests and investigations are standard tools for today's general practitioner. However, without reliable systems for the management of tests and test results, these valuable assets may become a liability to the GP, with the possibility of unforeseen adverse events arising at several points in the total investigative process. Exploring GPs' reports of such incidents may provide opportunities for improvements in patient care.

Communication↗
PubMed1996

Clinical incidents in general practice. Prescription errors.

The incident Monitoring in General Practice Project began as an initiative of the Professional Indemnity Review. Anonymous data from general practitioners about unintended, and possibly adverse events were collected in order to develop preventive strategies that might ultimately increase patient safety and therefore reduce litigation. Feedback and sharing of experiences and ideas about these events, possible management strategies or the project as a whole are invited from the readers.

Anti-Inflammatory Agents, Non-Steroidal↗
PubMed1996

Clinical incidents in general practice. Keeping on track with test results.

The incident Monitoring in General Practice Project began as an initiative of the Professional Indemnity Review. Anonymous data from general practitioners about unintended and possibly adverse events were collected in order to develop preventive strategies that might ultimately increase patient safety and therefore reduce litigation. Feedback and sharing of experiences and ideas about these events, possible management strategies or about the project as a whole are invited from readers.

Australia↗
PubMed1995

A new drug classification for computer systems: the ATC extension code.

During the testing of the Read Clinical Codes in general practice medical records in Australia, it became apparent that the pharmaceutical section of the codes was not applicable in a country with different brand names, pack sizes and forms. For pharmacoepidemiological studies, structured classification of both morbidity and pharmaceuticals is required for meaningful analysis. The search for a suitable pharmaceutical classification proved fruitless. While the Australian Government has recently adopted the Anatomical Therapeutic Chemical (ATC) Classification as the national standard, this only classifies drugs to the generic level. None of the extended coding systems used in hospital pharmacies, by community pharmacists, or by Government are hierarchically structured. The extension code we have developed, is an analytical algorithm comprising independent fields for: dosage; strength; manufacturer and brand; and pack size. The codes within each field are also structured in a hierarchical manner. The result is an extension code of 21 digits, each digit or group of digits having a meaning. The structure of this classification will allow analysis of any aspect of the drug prescribed. This system is designed for computerised entry of text and transparent coding of the data--not for manual coding on paper nor manual code entry to the computer.

Algorithms↗
PubMed1995

Development of sample size models for national general practice surveys.

The most cost-effective method to measure the morbidity managed and treatments provided in general practice is from records of a cluster of consultations (encounters) from each general practitioner (GP) in a random sample. A cluster sampling method is proposed for future surveys for analysis of encounter-based general practice data. The sample sizes needed to measure the most common problems managed and drugs prescribed were estimated using ratio-estimator models for cluster sample surveys. Morbidity and treatment rates were estimated from the Australian Morbidity and Treatment Survey in General Practice 1990-1991 (AMTS). The 20 most common problems in the AMTS were managed at estimated rates of 1.5 to 9.5 per 100 encounters. The 20 most common drugs were prescribed at estimated rates of 0.7 to 3.6 per 100 problems. These rates were used to determine precision as a percentage of each true value for future surveys, that is, as relative precision. If we want to be 95 per cent confident that these rates will be within 5 per cent of each true rate, sample sizes of 552 to 5675 GPs are needed. If we fix the sample size at 1000 GPs, relative precision lies within 12 per cent of these rates. If the sample size is increased to 1500 GPs, relative precision improves only marginally. The differences in sample size for each of the most frequent morbidity and treatment data are largely due to their variable distributions and relatively infrequent occurrence in general practice. A sample size of 1000 GPs will enable measurement of the most common morbidity and treatments at 95 per cent confidence.

Australia↗
PubMed1995

Menopause: its management in general practice.

Menopause is managed in over 10% of general practice consultations with women aged between 45 and 54 years, yet there is little information about its symptomotology and its management by GPs. This paper investigates these issues in a secondary analysis of data from the Australian Morbidity and Treatment Survey 1990-1991.

Family Practice↗
PubMed1995

General practice medical records: why code? Why classify?

Recently, the Information Management Steering Group (IMSG) [a RACGP-AMA-Commonwealth Government committee responsible for the planning of information management in general practice], held a Coding Workshop at which available coding systems and their application in general practice computerised medical records were reviewed. As there has been in the past some discussion as to the value of coding, the workshop participants agreed that a paper outlining the reasons for coding and classifying clinical data should be prepared and disseminated to all general practitioners.

Abstracting and Indexing↗