Literature DB >> 15588533

Who cares in England and Wales? The Positive Care Law: cross-sectional study.

Mary Shaw1, Danny Dorling.   

Abstract

BACKGROUND: The inverse care law proposing that medical services are distributed inversely to population health needs, and that this law operates more completely where medical care is most exposed to market forces, was first suggested by Tudor Hart in 1971. This paper considers whether an inverse care law can be observed for the provision of informal care as well as for medical care. AIM: Using data from the 2001 census we sought to investigate the contemporary relevance of the inverse care law. DESIGN OF STUDY: Cross-sectional study.
SETTING: England and Wales.
METHOD: Data from the 2001 census for the population of England and Wales were analysed at the county, unitary, or former metropolitan authority level. The prevalence of the conjunction of general health status and limiting long-term illness was correlated with the percentage of the local population who were working as qualified healthcare workers (nurses, qualified medical practitioners, dentists, and other health professionals and therapists) and with the percentage of the population providing 50 or more hours of unpaid care per week.
RESULTS: In 2001, 7.6% of people reported that their health was not good and that they had a limiting long-term illness (the need for care). Over one million people reported providing 50 or more hours of unpaid care per week. An inverse care law was found at the ecological level between the need for care and the proportion of the population who were working as qualified medical practitioners, dentists, and other health professionals. Informal care was almost perfectly positively correlated with the need for care (r = 0.97). These relationships were more marked for areas in the north of the country compared with the south. In the north more people provide unpaid care as more people need that care and because there are fewer working qualified medical professionals, other than nurses, providing such care per head.
CONCLUSIONS: Medical care is distributed inversely to need, whereas the provision of informal care is positively related to need--where care is most needed, informal care is most likely to be provided. The greater the market forces that are allowed to intervene in the relationships between the need for care and its provision, the more likely the inverse care law is to be found to apply. Where no market forces apply, where people give up their time for free to provide care, an almost perfectly positive care law is found to apply.

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Mesh:

Year:  2004        PMID: 15588533      PMCID: PMC1326106     

Source DB:  PubMed          Journal:  Br J Gen Pract        ISSN: 0960-1643            Impact factor:   5.386


  14 in total

1.  Commentary: three decades of the inverse care law.

Authors:  J Tudor Hart
Journal:  BMJ       Date:  2000-01-01

2.  Advice-giving in community pharmacy: variations between pharmacies in different locations.

Authors:  A Rogers; K Hassell; P Noyce; J Harris
Journal:  Health Place       Date:  1998-12       Impact factor: 4.078

3.  Provision of health promotion clinics in relation to population need: another example of the inverse care law?

Authors:  S J Gillam
Journal:  Br J Gen Pract       Date:  1992-02       Impact factor: 5.386

4.  Effect of socioeconomic deprivation on waiting time for cardiac surgery: retrospective cohort study.

Authors:  J P Pell; A C Pell; J Norrie; I Ford; S M Cobbe
Journal:  BMJ       Date:  2000-01-01

5.  Deprivation, psychological distress, and consultation length in general practice.

Authors:  A M Stirling; P Wilson; A McConnachie
Journal:  Br J Gen Pract       Date:  2001-06       Impact factor: 5.386

6.  The inverse care law.

Authors:  J T Hart
Journal:  Lancet       Date:  1971-02-27       Impact factor: 79.321

7.  Managing depression in primary care: another example of the inverse care law?

Authors:  Carolyn A Chew-Graham; Sean Mullin; Carl R May; Scott Hedley; Hannah Cole
Journal:  Fam Pract       Date:  2002-12       Impact factor: 2.267

8.  Variations in use of cardiology services in a health authority: comparison of coronary artery revascularisation rates with prevalence of angina and coronary mortality.

Authors:  N Payne; C Saul
Journal:  BMJ       Date:  1997-01-25

9.  Car travel time and accessibility by bus to general practitioner services: a study using patient registers and GIS.

Authors:  Andrew Lovett; Robin Haynes; Gisela Sünnenberg; Susan Gale
Journal:  Soc Sci Med       Date:  2002-07       Impact factor: 4.634

10.  Annual assessments of patients aged 75 years and over: views and experiences of elderly people.

Authors:  C A Chew; D Wilkin; C Glendinning
Journal:  Br J Gen Pract       Date:  1994-12       Impact factor: 5.386

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  8 in total

1.  Inverse and positive care laws.

Authors:  Julian Tudor Hart
Journal:  Br J Gen Pract       Date:  2004-12       Impact factor: 5.386

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Journal:  Community Ment Health J       Date:  2007-12-29

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Authors:  Barbara Hanratty; Frances Drever; Ann Jacoby; Margaret Whitehead
Journal:  Eur J Ageing       Date:  2007-02-20

4.  Who is actually asked about their mental health in pregnancy and the postnatal period? Findings from a national survey.

Authors:  Maggie Redshaw; Jane Henderson
Journal:  BMC Psychiatry       Date:  2016-09-15       Impact factor: 3.630

5.  Social networks, the 'work' and work force of chronic illness self-management: a survey analysis of personal communities.

Authors:  Ivaylo Vassilev; Anne Rogers; Christian Blickem; Helen Brooks; Dharmi Kapadia; Anne Kennedy; Caroline Sanders; Sue Kirk; David Reeves
Journal:  PLoS One       Date:  2013-04-02       Impact factor: 3.240

6.  The relationship between BMI and the prescription of anti-obesity medication according to social factors: a population cross sectional study.

Authors:  Lynsey Patterson; Frank Kee; Carmel Hughes; Dermot O'Reilly
Journal:  BMC Public Health       Date:  2014-01-28       Impact factor: 3.295

7.  The contribution of social networks to the health and self-management of patients with long-term conditions: a longitudinal study.

Authors:  David Reeves; Christian Blickem; Ivaylo Vassilev; Helen Brooks; Anne Kennedy; Gerry Richardson; Anne Rogers
Journal:  PLoS One       Date:  2014-06-02       Impact factor: 3.240

8.  Assessing inequalities in geographical access to emergency medical services in metropolitan Lisbon: a cross-sectional and ecological study.

Authors:  Katielle Susane do Nascimento Silva; Miguel Padeiro
Journal:  BMJ Open       Date:  2020-11-06       Impact factor: 2.692

  8 in total

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