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Original Research

Association Between Multimorbid Disease Patterns and Pain Outcomes Among a Complex Chronic Care Population in Canada

ORCID Icon, ORCID Icon & ORCID Icon
Pages 3045-3057 | Published online: 20 Nov 2020

Figures & data

Table 1 Disease Categories and Medical Diagnoses Listed in the CCRS RAI/MDS/FA 2.0

Table 2 Descriptive Characteristics of the Sample, n = 139,573

Table 3 The Five Most Prevalent Combinations of One, Two, Three, Four and Five Disease Categories, Respectively

Table 4 Frequencies of Residents Reporting Various Levels of Pain on the Three Pain Measures Used in the Present Study

Table 5 Examining and Comparing Demographic and Medical Covariates, n = 139,573 (All Residents)

Table 6 Binary Logistic Regression with Pain (Yes/No) Being the Dependent Variable for Individual Disease Categories

Table 7 Binary Logistic Regression with Pain (Yes/No) Being the Dependent Variable for Multimorbid Disease Categories (0–5+)

Table 8 The Top Five Combinations of One, Two, Three, Four and Five Disease Categories with Highest Proportion of Residents Within Each Disease Category or Combination Reporting Pain, Respectively

Table 9 Binary Logistic Regression Using P-Y/N (Pain: Yes/No) as the Dependent Variable for the Number of Disease Categories

Figure 1 PI-4 pain severity ratings by individual single disease category.

Figure 1 PI-4 pain severity ratings by individual single disease category.

Figure 2 PI-4 pain severity ratings for the top five disease combinations with residents reporting pain.

Figure 2 PI-4 pain severity ratings for the top five disease combinations with residents reporting pain.