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Literature DB >> 3505285

Providing census data for general practice. 1. Feasibility.

Abstract

The availability of census data to general practice is limited by the form of publication, restricted access to computerized data and the technical difficulties of linking computerized information to a practice population. In a feasibility study it is shown how a population registered with a general practice may be linked through postcodes to computerized enumeration district data. Examples of the data available are discussed together with current problems of postcode/enumeration district mismatch. Suggestions are made for ensuring that general practitioners have access to the 1991 census data.

Mesh：

Year: 1987 PMID： 3505285 PMCID： PMC1711083

Source DB: PubMed Journal: J R Coll Gen Pract ISSN： 0035-8797

4 in total

1. Providing census data for general practice. 2. Usefulness.

Authors: C Foy; A Hutchinson; J Smyth
Journal: J R Coll Gen Pract Date: 1987-10

2. Small area analysis: creating an area base for environmental monitoring and epidemiological analysis.

Authors: V Carstairs; M Lowe
Journal: Community Med Date: 1986-02

3. Identification of underprivileged areas.

Authors: B Jarman
Journal: Br Med J (Clin Res Ed) Date: 1983-05-28

4. Underprivileged areas: validation and distribution of scores.

Authors: B Jarman
Journal: Br Med J (Clin Res Ed) Date: 1984-12-08

4 in total

9 in total

1. How much does self-reported health status, measured by the SF-36, vary between electoral wards with different Jarman and Townsend scores?

Authors: P Marsh; R Carlisle; A J Avery
Journal: Br J Gen Pract Date: 2000-08 Impact factor: 5.386

5. Use of regression analysis to explain the variation in prescribing rates and costs between family practitioner committees.

Authors: D P Forster; C E Frost
Journal: Br J Gen Pract Date: 1991-02 Impact factor: 5.386

Providing census data for general practice. 1. Feasibility.

1. Providing census data for general practice. 2. Usefulness.

2. Small area analysis: creating an area base for environmental monitoring and epidemiological analysis.

3. Identification of underprivileged areas.

4. Underprivileged areas: validation and distribution of scores.

1. How much does self-reported health status, measured by the SF-36, vary between electoral wards with different Jarman and Townsend scores?

Review 2. Unequal to the task: deprivation, health and UK general practice at the millennium.

3. Social indicators of health needs for general practice: a simpler approach.

4. Calculation of the underprivileged area score for a practice in inner London.

5. Use of regression analysis to explain the variation in prescribing rates and costs between family practitioner committees.

6. Calculation of the underprivileged area score.

7. Allocating resources to doctors in deprived areas.

8. Comparison of two scores for allocating resources to doctors in deprived areas.

9. Using patient and general practice characteristics to explain variations in cervical smear uptake rates.