The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
The epidemiology of multimorbidity in primary care: a retrospective cohort study
Open accessAbstract
Background: Multimorbidity places a substantial burden on patients and the healthcare system, but few contemporary epidemiological data are available. Aim: To describe the epidemiology of multimorbidity in adults in England, and quantify associations between multimorbidity and health service utilisation. Design and setting: Retrospective cohort study, undertaken in England. Method: The study used a random sample of 403 985 adult patients (aged ≥18 years), who were registered with a general practice on 1 January 2012 and included in the Clinical Practice Research Datalink. Multimorbidity was defined as having two or more of 36 long-term conditions recorded in patients’ medical records, and associations between multimorbidity and health service utilisation (GP consultations, prescriptions, and hospitalisations) over 4 years were quantified. Results: In total, 27.2% of the patients involved in the study had multimorbidity. The most prevalent conditions were hypertension (18.2%), depression or anxiety (10.3%), and chronic pain (10.1%). The prevalence of multimorbidity was higher in females than males (30.0% versus 24.4% respectively) and among those with lower socioeconomic status (30.0% in the quintile with the greatest levels of deprivation versus 25.8% in that with the lowest). Physical–mental comorbidity constituted a much greater proportion of overall morbidity in both younger patients (18–44 years) and those patients with a lower socioeconomic status. Multimorbidity was strongly associated with health service utilisation. Patients with multimorbidity accounted for 52.9% of GP consultations, 78.7% of prescriptions, and 56.1% of hospital admissions. Conclusion: Multimorbidity is common, socially patterned, and associated with increased health service utilisation. These findings support the need to improve the quality and efficiency of health services providing care to patients with multimorbidity at both practice and national level.
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Barnett, K., Mercer, S. W., Norbury, M., Watt, G., Wyke, S., & Guthrie, B. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60240-2 · Cited by 6,972
Data Resource Profile: Clinical Practice Research Datalink (CPRD)
Herrett, E., Gallagher, A. M., Bhaskaran, K., Forbes, H., Mathur, R., van Staa, T., & Smeeth, L. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv098 · Cited by 2,667 · cited 3×
“13,14 To ensure records were up to date, patients had to have up-to-standard registration data for at least 1 year prior to the beginning of the study and through its completion.”
van den Akker, M., Buntinx, F., Metsemakers, J. F. M., Roos, S., & Knottnerus, J. A. (1998) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(97)00306-5 · Cited by 1,027
Causes and consequences of comorbidity
Gijsen, R., Hoeymans, N., Schellevis, F. G., Ruwaard, D., Satariano, W. A., & van den Bos, G. A. M. (2001) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(00)00363-2 · Cited by 962
Epidemiology and impact of multimorbidity in primary care: a retrospective cohort study
Salisbury, C., Johnson, L., Purdy, S., Valderas, J. M., & Montgomery, A. A. (2011) · British Journal of General Practice · doi:10.3399/bjgp11x548929 · Cited by 894
Managing patients with multimorbidity in primary care
Wallace, E., Salisbury, C., Guthrie, B., Lewis, C., Fahey, T., & Smith, S. M. (2015) · BMJ · doi:10.1136/bmj.h176 · Cited by 742
Hobbs, F. D. R., Bankhead, C., Mukhtar, T., Stevens, S., Perera-Salazar, R., Holt, T., & Salisbury, C. (2016) · The Lancet · doi:10.1016/s0140-6736(16)00620-6 · Cited by 601
Completeness and usability of ethnicity data in UK-based primary care and hospital databases
Mathur, R., Bhaskaran, K., Chaturvedi, N., Leon, D. A., vanStaa, T., Grundy, E., & Smeeth, L. (2014) · Journal of Public Health · doi:10.1093/pubmed/fdt116 · Cited by 462
Multimorbidity - not just an older person's issue. Results from an Australian biomedical study
Taylor, A. W., Price, K., Gill, T. K., Adams, R., Pilkington, R., Carrangis, N., Shi, Z., & Wilson, D. (2010) · BMC Public Health · doi:10.1186/1471-2458-10-718 · Cited by 289
Payne, R. A., Abel, G. A., Guthrie, B., & Mercer, S. W. (2013) · Canadian Medical Association Journal · doi:10.1503/cmaj.121349 · Cited by 280
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Cited by
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Bellary, S., Kyrou, I., Brown, J. E., & Bailey, C. J. (2021) · Nature Reviews Endocrinology · doi:10.1038/s41574-021-00512-2 · Cited by 639
Geddis‐Regan, A. R., Gray, D., Buckingham, S., Misra, U., Boyle, C., & the British Society for Disability and Oral Health (2022) · Special Care in Dentistry · doi:10.1111/scd.12652 · Cited by 65
Deml, M. J., Minnema, J., Dubois, J., Senn, O., Streit, S., Rachamin, Y., & Jungo, K. T. (2022) · Social Science & Medicine · doi:10.1016/j.socscimed.2022.114858 · Cited by 30
Bulmer, C., & Avenell, A. (2025) · Obesity Reviews · doi:10.1111/obr.13910 · Cited by 29
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Metadata
- Authors
- Cassell, A., Edwards, D., Harshfield, A., Rhodes, K., Brimicombe, J., Payne, R., & Griffin, S.
- Venue
- British Journal of General Practice
- Published
- 2018-03-12
- Volume
- 68
- Issue
- 669
- Pages
- e245-e251
- ISSN
- 0960-1643 (ISSN-L)
- 1478-5242
- OpenAlex
- W2791881027
- Cited by
- 528
- References
- 16
- FWCI
- 29.83
- Type
- journal article
- Language
- en
- Open access
- hybrid
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