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Biomedical subjects

H Britt

Publications and source records attributed to H Britt.

At least 19 recordsLinked to original sources

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

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

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

The diagnostic difficulties of abdominal pain.

When the patient presents with the words, "I've got a pain in the gut", what are the most common diagnoses and how often does the problem remain undiagnosed? This paper describes what usually happens at encounters initiated by patient presentation of abdominal pain and is based on the results of the Australian Morbidity and Treatment Survey 1990-1991.

Abdominal Pain

A comparison of country and metropolitan general practice.

This paper is a summary of a report of a comparison of country and metropolitan general practice undertaken by the Family Medicine Research Unit, University of Sydney, and published as a supplement to the Medical Journal of Australia. The identified differences were not consistent across small medium and large country towns. The morbidity patterns were similar between all areas, but country GPs were generally busier and undertook more hospital and procedural work.

Adult

A comparison of country and metropolitan general practice.

OBJECTIVE: To provide a description of country general practice in Australia, and to determine the extent to which country and metropolitan general practice differ in terms of the characteristics of the practitioners, the morbidity managed, treatments provided and the availability of support services. METHOD: A survey requiring the recording of details of all direct and indirect patient encounters on encounter forms by a sample of general practitioners (GPs). Each GP recorded for two one-week periods separated by an interval of six months, between October 1990 and October 1991. The recording weeks were spread as evenly as possible throughout the year. SAMPLE: Participants were drawn from a list of medical practitioners in Queensland, NSW and Victoria who provided more than 1500 general practice Medicare items of service during the previous year. The sample was stratified within States by population of postcode, into metropolitan areas and three country strata: "small country towns" (population less than 5000); "medium country towns" (5000-15,000); and "large country towns" (more than 15,000). The total country sample is referred to as "country areas". Planned sample size was 180 country GPs (20 in each stratum in each State) and 60 metropolitan GPs (20 in each of the three State capital cities). The final data set was weighted to be representative of the distribution of the source population. DATA COLLECTION: The variables studied included: GP characteristics; practice isolation factors; patient age, sex and status to the practice; patient reasons for encounter (up to three per encounter); problems managed (up to four); drugs prescribed and other treatments provided (up to four per problem); tests and investigations ordered and referrals made at these encounters; and planned follow-up. Data were centrally coded. Participation rate: The final sample of 231 GPs (177 country and 54 metropolitan) recorded information during 435 recording weeks (336 country and 99 metropolitan). These practitioners represented 50.7% of those contacted and available, the response rate being better in country (57.5%) than in metropolitan (36.5%) areas. A practice profile questionnaire which included questions regarding the doctor and the practice was completed by 97.4% of participants, while a questionnaire on distance from support services was completed by 93.8% of country participants. The final weighted data set included 51,741 encounters with country GPs and 11,351 with metropolitan GPs. RESULTS: The general practitioners: Country GPs were less likely to be female or to conduct consultations in a language other than English, and were more likely to do some work on a salaried or sessional basis. GPs from small country towns were older, more likely to be in solo practice, and more likely to belong to a professional organisation. "Remoteness" of towns: Nearly all towns were within 25 km of a hospital, but far fewer small and medium country towns were within 50 km of a base hospital than large country towns. X-ray services were almost universally available within 50 km, and with the exception of small country towns so were pathology services. Access to medical specialists and to a lesser degree other health professionals decreased with population size--patients in 30% of small towns had to travel over 100 km to see many specialists and some health professionals. Self-reported procedural work: GPs in small and medium country towns were more likely than those in large towns to report performing procedural work, the largest difference being in the area of em

Adolescent

Data collection and changing health care systems. 1. United Kingdom.

The adoption of "Read Clinical Codes" for computerised patient records could profoundly alter the nature and quality of Western medicine in the next decade. The increasing awareness of the need for a standardised coding system has led to the funding of a pilot project to test Read codes in Australian general practice. Read codes are a comprehensive nomenclature of clinical terms incorporating over 100,000 codes in a structured hierarchical form. Designed by a general practitioner, they are now owned, controlled, and developed by the British National Health Service (NHS). Selected as the basis for clinical coding across the NHS, they form the cornerstone of computerised patient records. Computer use has been encouraged in general practice in the UK, with financing schemes and functional inducements resulting in 70% of practices being at least partly computerised, and 84% of these using Read codes. Their promotion has been backed by a major development program to broaden the codes to include all clinical specialities, nursing, and professions allied to medicine. The codes will require significant adaptation for Australian use, including the development of an administrative chapter and a pharmaceutical classification. The impact of information management systems on health care in the UK has relevance for the continuing development of the Australian National Health Information Strategy and for future record keeping in general practice in Australia. If the trial proves successful, the adoption of Read codes as a standard for information management in patient medical records will need to be considered.

Abstracting and Indexing

Data collection and changing health care systems. 2. New Zealand.

Radical changes planned in the New Zealand health system aim to improve its cost effectiveness, quality and consumer responsiveness. These changes will take place despite a paucity of data on the use of resources and outcomes. Data collection systems are to be introduced into hospitals and primary care with the use of the Read clinical codes (RCC) in addition to ICD-9-CM (International classification of disease--clinical modification) and ICPC (International classification of primary care). This paper discusses the proposed changes to the New Zealand health care system and describes their effect on the present and future data collection methods in general practice.

Abstracting and Indexing

Delivery of primary care in hospital and community settings in Australia.

This study examined the interface between emergency departments and community general practice in terms of their delivery of primary care services. Through the collection of casemix and treatment data, and interviews with patients, information was gathered relating to the extent of primary care delivery in emergency departments, problems managed and treatments provided in the two settings and patients' characteristics and reasons for choosing to seek primary care in the emergency department. The results indicate a high proportion of primary care delivery is in emergency departments, and that there is a need for delivery in this setting to continue. The results are discussed in terms of such quality assurance issues as monitoring primary care in emergency departments and addressing patient needs.

Ambulatory Care

Morbidity and treatment in general practice in Australia.

More detailed analysis of this data will continue. It will be combined with other more specific studies to provide a more focused view of some aspects of general practice. Requests for individual analyses of selected data will be accepted by the Family Medicine Research Unit. Contact Helena Britt on (02) 745 2633. The Unit has provided Australian Family Physician with 500 copies of the full report for distribution to interested practitioners. Such copies can be obtained by contacting Mrs Judy Brook, Secretary, Australian Family Physician, 2nd Floor, 70 Jolimont Street, Jolimont 3002. Fax: (03) 289 1211. Telephone: (03) 654 3000.

Adolescent

Reasons for encounter and diagnosed health problems: convergence between doctors and patients.

This study of 521 encounters in 25 urban general practices in Australia, compares both patient and doctor reported reasons for encounter (RFE) and diagnoses. Although doctors and their patients generally agreed on the overall distribution of RFE and diagnoses that arose, there was disagreement in at least 30% of paired comparisons within individual encounters. There was better agreement for RFE than for diagnoses. This may have been partly due to differences in the classification systems used. However, it suggests that diagnoses recalled by patients at later household interview are at best only a rough approximation of the diagnoses recorded by the doctor. These findings are important both for patient care and for the conduct of general practice morbidity research.

Attitude of Health Personnel