Table 4.

Results of models assessing the effect of race/ethnicity on the relation between patient experiences and type of initial surgical treatment (BCS vs mastectomy)

Surgical type	BCS		BCS		BCS		BCS
	OR	[95% CI]	OR	[95% CI]	OR	[95% CI]	OR	[95% CI]
N analyzed	1578		1546		1701		1763
CAHPS measure	Doctor communication		Getting care quickly		Getting needed care		Getting needed Rx
Less than excellent reports	Ref		Ref		Ref		Ref
Excellent reports	0.85	[0.66–1.10]	0.86	[0.68–1.10]	0.83	[0.65–1.06]	1.07	[0.82–1.40]
Race/ethnicity
Non-hispanic White	Ref		Ref		Ref		Ref
Non-hispanic Black	1.13	[0.56–2.30]	0.65	[0.33–1.27]	0.71	[0.37–1.37]	1.02	[0.52–2.00]
Hispanic	0.95	[0.44–2.02]	1.23	[0.59–2.55]	1.37	[0.70–2.68]	1.04	[0.48–2.27]
Race by reports of care interactions
White * less than excellent reports	Ref		Ref		Ref		Ref
Black * excellent reports	0.96	[0.40–2.27]	2.82 *	[1.16–6.85]	1.97	[0.85–4.57]	1.07	[0.48–2.42]
Hispanic * excellent report	1.26	[0.51–3.11]	0.99	[0.40–2.42]	0.61	[0.26–1.39]	1.05	[0.43–2.56]

Modeling odds of BCS (breast conserving surgery vs mastectomy)

Excellent reports consist of scores 90–100, and less than excellent reports consist of scores ≤ 89.99.

Separate logistic regression models were conducted for each patient experience measure

Models were adjusted for: age, race/ethnicity, marital status, SEER geographic region, self-reported comorbidities, tumor stage, medicare plan, survey administration mode, survey year, and time since survey.

Bold represents significant at

^*p < 0.05, **p < 0.01, ***p < 0.001