Case-mix adjustments for patient reported experience and outcome measures in primary care: an empirical approach to identify patient characteristics as case-mix adjusters based on a secondary analysis of an international survey among patients and their general practitioners in 34 countries

Journal of Patient-Reported Outcomes

Table 5 Summary of the analyses for the dependent variable Coping after the consultation (PROM), multilevel logistic regression

Potential case-mix variable	Fixed effect significant (y/n)	Slope effect GP level important* (y/n)	Slope effect country level important (y/n)	Case-mix control (y/n)
Self-reported general health	Yes Poor self-reported health → less able to cope	No	No	Yes
Longstanding disease	No	No	No	No
Patient’s age	Yes Older patients → better able to cope	No	No	Yes
Patient’s sex	Yes Women → better able to cope	No	No	Yes
Education	Yes Higher educated → less able to cope	No	No	Yes
Income	Yes Middle income → better able to cope	No	No	Yes
Migrant status	Yes Second generation migrant → less able to cope	No	No	Yes
Place of living	Yes In mixed urban–rural and rural areas → better able to cope	No	No	Yes

^*Important means that the difference in variance between categories is more that 0.25*variance in the model with fixed effect and random intercept