Table 4.

Adjusted IRR of multimorbidity-related variables predicting total primary care consultations, across three model specifications and ethnic groupa

IRR (95% CI)
AllWhite EthnicityBlack EthnicityAsian EthnicityMixed EthnicityOther
Individuals (person-years)826 166 (5 243 478)445 460 (2 724 461)113 722 (960 700)49 893 (327 250)31 197 (202 016)23 727 (144 416)
Model 1: multimorbidity clusters, count LTCs, interaction, and polypharmacy
  Mental health+1.24 (1.23 to 1.24)1.24 (1.23 to 1.25)1.19 (1.17 to 1.21)1.23 (1.19 to 1.27)1.23 (1.19 to 1.26)1.24 (1.19 to 1.29)
  Cardiovascular+1.10 (1.09 to 1.10)1.09 (1.08 to 1.10)1.12 (1.10 to 1.13)1.10 (1.08 to 1.12)1.13 (1.10 to 1.16)1.09 (1.03 to 1.14)
  Pain+1.11 (1.10 to 1.11)1.11 (1.10 to 1.11)1.11 (1.11 to 1.12)1.10 (1.09 to 1.11)1.11 (1.09 to 1.13)1.13 (1.11 to 1.15)
  Liver+1.22 (1.14 to 1.29)1.15 (1.05 to 1.26)1.40 (1.28 to 1.52)1.41 (1.16 to 1.71)1.06 (0.78 to 1.44)1.19 (0.97 to 1.45)
  Dependence+1.33 (1.29 to 1.37)1.33 (1.28 to 1.37)1.30 (1.30 to 1.21)1.28 (1.04 to 1.59)1.33 (1.18 to 1.50)1.42 (1.20 to 1.68)
  Unclustered LTCs1.11 (1.10 to 1.11)1.10 (1.09 to 1.10)1.12 (1.11 to 1.12)1.11 (1.09 to 1.12)1.11 (1.10 to 1.13)1.14 (1.11 to 1.17)
Model 2: multimorbidity only
Multimorbidity (yes)2.64 (2.63 to 2.66)2.58 (2.56 to 2.60)2.46 (2.43 to 2.49)2.77 (2.71 to 2.83)2.56 (2.50 to 2.62)2.95 (2.85 to 3.06)
Model 3: multimorbidity and polypharmacy
Multimorbidity (yes)2.30 (2.29 to 2.32)2.22 (2.21 to 2.24)2.13 (2.11 to 2.15)2.31 (2.27 to 2.36)2.22 (2.17 to 2.27)2.49 (2.41 to 2.57)
Polypharmacy (yes)2.20 (2.18 to 2.21)2.29 (2.28 to 2.31)2.04 (2.02 to 2.06)2.17 (2.14 to 2.21)2.25 (2.20 to 2.31)2.31 (2.23 to 2.39)
  • a n = 5 243 478 person–years, corresponding to 826 166 individuals. Data from April 2005 to March 2020 are used. All models also adjust for age, sex, ethnic group, Index of Multiple Deprivation quintiles, and language. Multimorbidity clusters: Mental health+ includes anxiety and depression; Cardiovascular+ includes heart failure, Peripheral Arterial Disease (PAD), osteoporosis, atrial fibrillation, coronary heart disease, chronic kidney disease, stroke/transient ischaemic attack, and dementia; Pain+ includes osteoarthritis, cancer, chronic pain, hypertension, and diabetes; Liver+ includes chronic liver disease and viral hepatitis; Dependence+ includes alcohol dependence, substance dependence, and HIV; Unclustered LTCs include: Parkinson’s disease, chronic obstructive pulmonary disease, asthma, inflammatory bowel disease, lupus, multiple sclerosis, rheumatoid arthritis, morbid obesity, cognitive and learning disabilities, sickle-cell anaemia, serious mental illness, and epilepsy. The reference category for both multimorbidity and multimorbidity clusters is not having multimorbidity. Categories of self-ascribed ethnic group include White, Black (Black/African/Caribbean/Black British), Asian (Asian/Asian British), mixed ethnicity, other, or unknown. In model 3, the count of LTCs and multimorbidity clusters are included as main effects, along with an interaction between the two variables. Parameter estimates of the main effects cannot be interpreted by themselves anymore because of the interaction. Simple slopes (marginal effect of the continuous variable — number of LTCs — across the different levels of the categorical variable–clusters) are computed instead, and incidence rates generated by exponentiating simple slopes. For example, in model 3, the IRR for each cluster indicates the effect of developing one more LTC for individuals in that specific cluster. For the Dependence+ cluster, IRR 1.33, so for a one unit increase in the number of LTCs, the incidence rate of primary care consultations increases by 33%, while in the Cardiovascular+ cluster it increases by 10%. IRR = incidence rate ratio. LTC = long-term conditions.