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. 2011 Jan;61(582):e12-21.
doi: 10.3399/bjgp11X548929.

Epidemiology and impact of multimorbidity in primary care: a retrospective cohort study

Chris Salisbury  1 , Leigh Johnson, Sarah Purdy, Jose M Valderas, Alan A Montgomery
Affiliations

Epidemiology and impact of multimorbidity in primary care: a retrospective cohort study

Chris Salisbury et al. Br J Gen Pract. 2011 Jan.

Abstract

Background: In developed countries, primary health care increasingly involves the care of patients with multiple chronic conditions, referred to as multimorbidity.

Aim: To describe the epidemiology of multimorbidity and relationships between multimorbidity and primary care consultation rates and continuity of care.

Design of study: Retrospective cohort study.

Setting: Random sample of 99 997 people aged 18 years or over registered with 182 general practices in England contributing data to the General Practice Research Database.

Method: Multimorbidity was defined using two approaches: people with multiple chronic conditions included in the Quality and Outcomes Framework, and people identified using the Johns Hopkins University Adjusted Clinical Groups (ACG®) Case-Mix System. The determinants of multimorbidity (age, sex, area deprivation) and relationships with consultation rate and continuity of care were examined using regression models.

Results: Sixteen per cent of patients had more than one chronic condition included in the Quality and Outcomes Framework, but these people accounted for 32% of all consultations. Using the wider ACG list of conditions, 58% of people had multimorbidity and they accounted for 78% of consultations. Multimorbidity was strongly related to age and deprivation. People with multimorbidity had higher consultation rates and less continuity of care compared with people without multimorbidity.

Conclusion: Multimorbidity is common in the population and most consultations in primary care involve people with multimorbidity. These people are less likely to receive continuity of care, although they may be more likely to gain from it.

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Figures

Figure 1
Figure 1
Percentage of population with more than one chronic condition in the Quality and Outcomes Framework, by age and sex.
Figure 2
Figure 2
Number of conditions included in the Quality and Outcomes Framework, per patient, by age group.
Figure 3
Figure 3
Number of chronic conditions in patients consulting, per consultation, by age group. EDC = expanded diagnostic clusters from the Johns Hopkins University Adjusted Clinical Groups (ACG) Case-Mix System. QOF = Quality and Outcomes Framework.
See this image and copyright information in PMC

Comment in

  • GPs at the Deep End.
    Steven K, Jackson C. Steven K, et al. Br J Gen Pract. 2011 Apr;61(585):293-4; author reply 294. doi: 10.3399/bjgp11X567216. Br J Gen Pract. 2011. PMID: 21439191 Free PMC article. No abstract available.

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