Improving multimorbidity measurement using individualized disease-specific quality of life impact assessments: predictive validity of a new comorbidity index

Table 3 Summary information for MCC methods, models, and generic outcomes in cross-sectional developmental sample (N = 5,490)

Models & Outcome Variables	# of CC	Simple Count	Pop. Weight MCS	Pop. Weight PCS	Ind. QDIS Weight	Pop. Weight Mortality	Mean	SD	Range*
QDIS-MCC Methods
1: Simple chronic conditions count	35	X					5.78	3.49	0–31
2–M: Population-weighted MCS score	35		X				47.81	5.01	20.49–53.23
2–P: Population-weighted PCS score	35			X			44.65	6.49	3.43–53.87
3: Individualized QDIS-weighted MCC score	35				X		10.94	9.53	0–91
4: Individualized OA comorbid CC^a score	35				X		16.74	12.6	0–102
Charlson Index Methods
1C: Charlson 12 count	12	X					1.37	1.09	0–10
2C–M: MCS-weighted Charlson score	12		X				46.57	2.57	26.18–49.40
2C–P: PCS-weighted Charlson score	12			X			44.23	3.66	18.63–47.91
3C: Individualized QDIS-weighted Charlson	12				X		2.32	2.61	0–26
4C: Mortality-weighted Charlson score	12					X	0.68	1.14	0–16
Generic Outcomes
MCS							49.59	9.76	10.1–68.5
PCS							44.82	10.5	12.8–66.3

CC chronic conditions, pop. population, ind. individualized, PCS Short Form-8 Physical Component Score, MCS Short Form-8 Mental Component Score.*Observed range. ^aDisplayed in Fig. 1 example limited to OA index condition (N = 1235) comorbidity impact

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