Literature DB >> 8173457

Do interventions that improve immunisation uptake also reduce social inequalities in uptake?

R Reading1, A Colver, S Openshaw, S Jarvis.   

Abstract

OBJECTIVE: To investigate whether an intervention designed to improve overall immunisation uptake affected social inequalities in uptake.
DESIGN: Cross-sectional small area analyses measuring immunisation uptake in cohorts of children before and after intervention. Small areas classified into five groups, from most deprived to most affluent, with Townsend deprivation score of census enumeration districts.
SETTING: County of Northumberland.
SUBJECTS: All children born in country in four birth cohorts (1981-2, 1985-6, 1987-8, and 1990-1) and still resident at time of analysis. MAIN OUTCOME MEASURES: Overall uptake in each cohort of pertussis, diphtheria, and measles immunisation, difference in uptake between most deprived and most affluent areas, and odds ratio of uptake between deprived and affluent areas.
RESULTS: Coverage for pertussis immunisation rose from 53.4% in first cohort to 91.1% in final cohort. Coverage in the most deprived areas was lower than in the most affluent areas by 4.7%, 8.7%, 10.2%, and 7.0% respectively in successive cohorts, corresponding to an increase in odds ratio of uptake between deprived and affluent areas from 1.2 to 1.6 to 1.9 to 2.3. Coverage for diphtheria immunisation rose from 70.0% to 93.8%; differences between deprived and affluent areas changed from 8.6% to 8.3% to 9.0% to 5.5%, corresponding to odds ratios of 1.5, 2.0, 2.5, and 2.6. Coverage for measles immunisation rose from 52.5% to 91.4%; differences between deprived and affluent areas changed from 9.1% to 5.7% to 8.2% to 3.6%, corresponding to odds ratios of 1.4, 1.4, 1.7, and 1.5.
CONCLUSION: Despite substantial increase in immunisation uptake, inequalities between deprived and affluent areas persisted or became wider. Any reduction in inequality occurred only after uptake in affluent areas approached 95%. Interventions that improve overall uptake of preventive measures are unlikely to reduce social inequalities in uptake.

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Year:  1994        PMID: 8173457      PMCID: PMC2540112          DOI: 10.1136/bmj.308.6937.1142

Source DB:  PubMed          Journal:  BMJ        ISSN: 0959-8138


  11 in total

1.  What can be done about inequalities in health?

Authors:  M Whitehead; G Dahlgren
Journal:  Lancet       Date:  1991-10-26       Impact factor: 79.321

Review 2.  On the measurement of inequalities in health.

Authors:  A Wagstaff; P Paci; E van Doorslaer
Journal:  Soc Sci Med       Date:  1991       Impact factor: 4.634

3.  Immunisation and general practice.

Authors:  A Colver
Journal:  Lancet       Date:  1989-04-22       Impact factor: 79.321

Review 4.  Immunisation: causes of failure and strategies and tactics for success.

Authors:  A Nicoll; D Elliman; N T Begg
Journal:  BMJ       Date:  1989-09-30

5.  Do inaccuracies in small area deprivation analyses matter?

Authors:  R Reading; S Openshaw
Journal:  J Epidemiol Community Health       Date:  1993-06       Impact factor: 3.710

Review 6.  Equity and community child health.

Authors:  R Reading
Journal:  Arch Dis Child       Date:  1993-05       Impact factor: 3.791

7.  Low immunisation rates: fact or fiction?

Authors:  E A Scott
Journal:  Public Health       Date:  1990-07       Impact factor: 2.427

8.  Health surveillance of preschool children: four years' experience.

Authors:  A F Colver
Journal:  BMJ       Date:  1990-05-12

9.  Low immunization uptake rates in an inner-city health district: fact or fiction?

Authors:  S Jefferies; S McShane; J Oerton; C R Victor; R Beardow
Journal:  J Public Health Med       Date:  1991-11

10.  Measuring severity of injuries to children from home accidents.

Authors:  R Alwash; M McCarthy
Journal:  Arch Dis Child       Date:  1988-06       Impact factor: 3.791

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  23 in total

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Authors:  C J Manson-Siddle; M B Robinson
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2.  The use of targets to improve the performance of health care providers: a discussion of government policy.

Authors:  R Elkan; J Robinson
Journal:  Br J Gen Pract       Date:  1998-08       Impact factor: 5.386

3.  Why reduce health inequalities?

Authors:  A Woodward; I Kawachi
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Review 4.  What are the most effective ways of improving population health through transport interventions? Evidence from systematic reviews.

Authors:  D S Morrison; M Petticrew; H Thomson
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5.  Evidence based policy making.

Authors:  Sally Macintyre
Journal:  BMJ       Date:  2003-01-04

6.  Impact of adverse publicity on MMR vaccine uptake: a population based analysis of vaccine uptake records for one million children, born 1987-2004.

Authors:  V Friederichs; J C Cameron; C Robertson
Journal:  Arch Dis Child       Date:  2006-04-25       Impact factor: 3.791

7.  Reducing health inequities in a generation: a dream or reality?

Authors:  Shankar Prinja; Rajesh Kumar
Journal:  Bull World Health Organ       Date:  2009-02       Impact factor: 9.408

Review 8.  Poverty and the health of children and adolescents.

Authors:  R Reading
Journal:  Arch Dis Child       Date:  1997-05       Impact factor: 3.791

9.  Impact of the GP contract on inequalities associated with influenza immunisation: a retrospective population-database analysis.

Authors:  Michael Norbury; Neil Fawkes; Bruce Guthrie
Journal:  Br J Gen Pract       Date:  2011-07       Impact factor: 5.386

10.  Randomised controlled trial of the use of a modified postal reminder card on the uptake of measles vaccination.

Authors:  P Hawe; N McKenzie; R Scurry
Journal:  Arch Dis Child       Date:  1998-08       Impact factor: 3.791

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