Table 4:
Binary Logistic Regression Models Predicting Provider-Patient Communication of Incidental Nodule Diagnosis
| (1) | (2) | (3) | (4) | (5) | |
|---|---|---|---|---|---|
| Characteristics | Demographics | M1 + SES | M1 + Health | M1 + Provider | Full Model |
| Race (ref = White) | |||||
| Black | 0.3*** | 0.5*** | 0.5*** | 0.6*** | 0.6** |
| (0.0) | (0.1) | (0.1) | (0.1) | (0.2) | |
| Asian | 0.8 | 0.8 | 0.6 | 0.8 | 0.7 |
| (0.3) | (0.3) | (0.3) | (0.4) | (0.3) | |
| Hispanic | 0.3*** | 0.4*** | 0.3*** | 0.4*** | 0.3*** |
| (0.1) | (0.1) | (0.1) | (0.1) | (0.1) | |
| Nativity (ref = Native-born) | |||||
| Foreign-born | 0.7* | 0.6** | 1.1 | 1.0 | 1.2 |
| (0.1) | (0.1) | (0.3) | (0.3) | (0.4) | |
| Age | 1.0*** | 1.0** | 1.0 | 1.0 | 1.0 |
| (0.0) | (0.0) | (0.0) | (0.0) | (0.0) | |
| Sex (ref = Female) | |||||
| Male | 0.7*** | 0.7*** | 0.7** | 0.8* | 0.8* |
| (0.1) | (0.1) | (0.1) | (0.1) | (0.1) | |
| SES (ref = Low-SES) | |||||
| Mid/High-SES | 1.4*** | 1.3* | |||
| (0.2) | (0.2) | ||||
| Missing | 0.7 | 0.9 | |||
| (0.3) | (0.5) | ||||
| Insurance Status (ref = Private) | |||||
| Medicaid | 0.6*** | 0.9 | |||
| (0.1) | (0.2) | ||||
| Medicare | 0.7*** | 0.8 | |||
| (0.1) | (0.2) | ||||
| None | 0.3** | 0.9 | |||
| (0.2) | (0.5) | ||||
| Marital Status (ref = Single) | |||||
| Married | 1.9*** | 1.3 | |||
| (0.3) | (0.2) | ||||
| Widowed | 1.1 | 0.9 | |||
| (0.2) | (0.3) | ||||
| Divorced | 1.7** | 1.3 | |||
| (0.4) | (0.4) | ||||
| Separated | 1.7 | 1.0 | |||
| (0.7) | (0.5) | ||||
| Smoking Status (ref = Never Smoker) | |||||
| Former Smoker | 2.0*** | 1.8*** | |||
| (0.3) | (0.3) | ||||
| Current Smoker | 1.2 | 1.2 | |||
| (0.2) | (0.2) | ||||
| Hospital Context (ref = Outpatient) | |||||
| Emergency | 0.1*** | 0.1*** | |||
| (0.0) | (0.0) | ||||
| Inpatient | 0.1*** | 0.1*** | |||
| (0.0) | (0.0) | ||||
| Comorbidities (ref = None) | |||||
| Any | 0.8 | 0.7 | |||
| (0.2) | (0.2) | ||||
| Nodule (ref = Low Risk) | |||||
| Intermediate | 1.2 | 1.2 | |||
| (0.2) | (0.2) | ||||
| High | 6.6*** | 7.1*** | |||
| (1.6) | (1.8) | ||||
| Ordering Specialty (ref = Pulmonary) | |||||
| Internal Medicine | 0.3*** | 0.4*** | |||
| (0.1) | (0.1) | ||||
| ER | 0.1*** | 0.2*** | |||
| (0.0) | (0.1) | ||||
| Other | 0.2*** | 0.4*** | |||
| (0.0) | (0.1) | ||||
| Surgery | 0.4*** | 0.4** | |||
| (0.1) | (0.2) | ||||
| Ordering Degree/Training (ref = Attending) | |||||
| Resident | 1.3 | 1.5* | |||
| (0.3) | (0.3) | ||||
| CRNP, PA-C, Other | 2.8*** | 1.6 | |||
| (0.7) | (0.4) | ||||
| Has PCP (ref = No) | |||||
| Yes | 2.2*** | 1.5** | |||
| (0.4) | (0.3) | ||||
| PCP Visit in 2016 (ref = No) | |||||
| Yes | 2.6*** | 2.3*** | |||
| (0.4) | (0.4) | ||||
| Constant | 2.0*** | 1.6 | 9.0*** | 4.1*** | 6.7*** |
| Standard Errors | (0.5) | (0.5) | (3.2) | (1.6) | (3.4) |
| Observations | 1,843 | 1,843 | 1,843 | 1,843 | 1,843 |
Note. Binomial logistic regression models presented in odds ratios. Base outcome for these models is “provider did not communicate finding to patient.”
***
p<0.01,
**
p<0.05,
*
p<0.1