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Open Access Research article

Striking variations in consultation rates with general practice reveal family influence

Mieke Cardol1*, Liset van Dijk1, Wil JHM van den Bosch2, Peter Spreeuwenberg1, Dinny H de Bakker1 and Peter P Groenewegen13

Author Affiliations

1 NIVEL (Netherlands Institute for Health Services Research), Utrecht, The Netherlands

2 Radboud University, Nijmegen, The Netherlands

3 Department of Sociology and Department of Human Geography, Utrecht University, The Netherlands

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BMC Family Practice 2007, 8:4  doi:10.1186/1471-2296-8-4

Published: 18 January 2007

Abstract

Background

The reasons why patients decide to consult a general practitioner vary enormously. While there may be individual reasons for this variation, the family context has a significant and unique influence upon the frequency of individuals' visits. The objective of this study was to explore which family factors can explain the differences between strikingly high, and correspondingly low, family consultation rates in families with children aged up to 21.

Methods

Data were used from the second Dutch national survey of general practice. This survey extracted from the medical records of 96 practices in the Netherlands, information on all consultations with patients during 2001. We defined, through multilevel analysis, two groups of families. These had respectively, predominantly high, and low, contact frequencies due to a significant family influence upon the frequency of the individual's first contacts. Binomial logistic regression analyses were used to analyse which of the family factors, related to shared circumstances and socialisation conditions, can explain the differences in consultation rates between the two groups of families.

Results

In almost 3% of all families, individual consultation rates decrease significantly due to family influence. In 11% of the families, individual consultation rates significantly increase due to family influence. While taking into account the health status of family members, family factors can explain family consultation rates. These factors include circumstances such as their economic status and number of children, as well as socialisation conditions such as specific health knowledge and family beliefs. The chance of significant low frequencies of contact due to family influences increases significantly with factors such as, paid employment of parents in the health care sector, low expectations of general practitioners' care for minor ailments and a western cultural background.

Conclusion

Family circumstances can easily be identified and will add to the understanding of the health complaints of the individual patient in the consulting room. Family circumstances related to health risks often cannot be changed but they can illuminate the reasons for a visit, and mould strategies for prevention, treatment or recovery. Health beliefs, on the other hand, may be influenced by providing specific knowledge.