Evidence map›Paper›PMID 8179946›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners1994

Using unemployment rates to predict prescribing trends in England.

M Pringle, A Morton-Jones

Abstract read
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 1994. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Morbidity, deprivation, and antidepressant prescribing in general practice.The British journal of general practice : the journal of the Royal College of General Practitioners · 1999
    Article
  5. A comparison of three methods of setting prescribing budgets, using data derived from defined daily dose analyses of historic patterns of use.The British journal of general practice : the journal of the Royal College of General Practitioners · 1998
    Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

M PringleDepartment of General Practice, University of Nottingham.
A Morton-Jones

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are many factors underlying trends in prescribing levels in England.

aimThis study set out to examine prescribing trends and their relationship with three measures of morbidity.

methodA study was undertaken examining the interrelations between basic prescribing parameters for the 90 family health services authorities in England for the year 1 April 1989 to 31 March 1990. The trends were examined for their associations with three factors which have been linked to morbidity levels: standardized mortality ratios, the Jarman index (through its use as a deprivation index), and unemployment rates.

resultsAnalysis revealed a strong inverse association between the number of items prescribed per patient and the net ingredient cost per item for the family health services authorities. These two factors together determined the net ingredient cost per patient. Cluster analysis was found to segregate approximately the family health services authorities geographically: the northern, urban areas of England were characterized by a high number of low cost items per patient while the southern semi-rural areas had a low number of high cost items per patient. The trend was such that the former area had a higher overall net ingredient cost per patient. Unemployment rates were the most robust determinant of the inverse trend of number of items and cost of items and were comparable with standardized mortality ratios in their individual correlations with the prescribing net ingredient cost per patient. The Jarman index was the weakest of the predictors.

conclusionThe results lend support to the argument that material deprivation, associated with unemployment, is an important determinant of prescribing trends, perhaps acting through its effect on morbidity, and that the Jarman index is a poor indicator of deprivation. The analysis alone cannot, however, determine cause and effect for the apparent relationship between unemployment and prescribing.

Indexed as

Drug PrescriptionsUnemploymentAdolescentAdultCultural DeprivationDrug CostsEnglandFamily PracticeHumansMiddle AgedMorbidity

Identifiers

PMID8179946
PMCPMC1238783

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.