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. 2018 Mar 28;13(3):e0193432. doi: 10.1371/journal.pone.0193432

Table 3. Results of two logistic regression models which examine associations between insurance enrollee characteristics and screening for Mycobacterium tuberculosis with either a tuberculin skin test (TST) or an interferon-gamma release assay (IGRA) between 2011 and 2013, based on data from the Optum Clinformatics Data Mart Database (N = 3,997,986).

Model #1: Includes Individual Clinical Risk Factors Model #2: Includes a Count of Clinical Risk Factors
Odds Ratio P-value 99.9% Confidence Interval Average Adjusted Prob-ability* 99.9% Confidence Interval Odds Ratio P-value 99.9% Confidence Interval Average Adjusted Prob-ability* 99.9% Confidence Interval
Sex Female 1.00 5.1% 5.1% 5.2% 1.00 5.2% 5.2% 5.3%
Male 0.65 <.001 0.63 0.66 3.5% 3.5% 3.5% 0.63 <.001 0.62 0.64 3.4% 3.4% 3.5%
Age 0–4 1.00 9.0% 8.8% 9.2% 1.00 9.7% 9.5% 10.0%
5–9 0.55 <.001 0.53 0.57 5.4% 5.3% 5.6% 0.55 <.001 0.53 0.57 5.8% 5.6% 5.9%
10–14 0.57 <.001 0.55 0.59 5.6% 5.5% 5.7% 0.57 <.001 0.55 0.59 5.9% 5.8% 6.1%
15–19 1.47 <.001 1.42 1.52 12.4% 12.2% 12.5% 1.41 <.001 1.36 1.46 12.9% 12.7% 13.1%
20–24 0.93 <.001 0.89 0.96 8.5% 8.3% 8.6% 0.87 <.001 0.84 0.90 8.7% 8.5% 8.8%
25–29 0.30 <.001 0.28 0.31 3.2% 3.0% 3.3% 0.29 <.001 0.28 0.31 3.2% 3.1% 3.3%
30–34 0.30 <.001 0.29 0.31 3.2% 3.1% 3.3% 0.29 <.001 0.28 0.31 3.2% 3.1% 3.3%
35–39 0.28 <.001 0.26 0.29 3.0% 2.9% 3.1% 0.27 <.001 0.26 0.28 3.0% 2.9% 3.1%
40–44 0.25 <.001 0.24 0.26 2.7% 2.6% 2.8% 0.24 <.001 0.23 0.25 2.7% 2.6% 2.8%
45–49 0.21 <.001 0.20 0.22 2.3% 2.2% 2.4% 0.20 <.001 0.20 0.21 2.3% 2.2% 2.4%
50–54 0.19 <.001 0.18 0.20 2.1% 2.0% 2.2% 0.18 <.001 0.17 0.19 2.0% 1.9% 2.1%
55–59 0.18 <.001 0.17 0.19 2.0% 1.9% 2.1% 0.17 <.001 0.16 0.18 1.9% 1.8% 1.9%
60–64 0.16 <.001 0.15 0.17 1.8% 1.7% 1.9% 0.15 <.001 0.14 0.16 1.7% 1.6% 1.7%
Census Division New England 1.00 3.5% 3.4% 3.6% 1.00 3.4% 3.3% 3.5%
Mid-Atlantic 1.96 <.001 1.89 2.03 6.3% 6.2% 6.4% 1.98 <.001 1.91 2.05 6.4% 6.3% 6.5%
East North Central 1.51 <.001 1.44 1.58 5.0% 4.9% 5.1% 1.50 <.001 1.44 1.57 5.0% 4.8% 5.1%
West North Central 1.19 <.001 1.13 1.25 4.1% 3.9% 4.2% 1.19 <.001 1.13 1.24 4.0% 3.9% 4.1%
South Atlantic 1.06 <.001 1.02 1.10 3.7% 3.6% 3.7% 1.08 <.001 1.03 1.12 3.7% 3.6% 3.7%
East South Central 1.13 <.001 1.06 1.21 3.9% 3.7% 4.1% 1.14 <.001 1.06 1.22 3.8% 3.6% 4.1%
West South Central 0.70 <.001 0.67 0.74 2.5% 2.5% 2.6% 0.72 <.001 0.69 0.75 2.5% 2.4% 2.6%
Mountain 1.06 .001 1.00 1.13 3.7% 3.5% 3.8% 1.08 <.001 1.02 1.15 3.7% 3.5% 3.8%
Pacific 1.47 <.001 1.40 1.55 4.9% 4.8% 5.0% 1.48 <.001 1.41 1.55 4.9% 4.7% 5.0%
Rural-Urban Continuum Category Large central metro (Most urban & densely populated) 1.00 4.3% 4.2% 4.4% 1.00 4.3% 4.3% 4.4%
Large fringe metro 1.05 <.001 1.02 1.08 4.5% 4.4% 4.6% 1.04 <.001 1.02 1.07 4.5% 4.4% 4.6%
Medium metro 1.00 .964 0.97 1.03 4.3% 4.2% 4.4% 0.98 .022 0.95 1.01 4.3% 4.2% 4.3%
Small metro 0.86 <.001 0.82 0.90 3.8% 3.6% 3.9% 0.84 <.001 0.80 0.88 3.7% 3.6% 3.9%
Micropolitan 0.80 <.001 0.76 0.85 3.5% 3.4% 3.7% 0.78 <.001 0.74 0.82 3.5% 3.3% 3.6%
Noncore (Most rural & least populated) 0.81 <.001 0.75 0.87 3.6% 3.3% 3.8% 0.79 <.001 0.73 0.84 3.5% 3.3% 3.7%
PCP Health Professional Shortage Area Not an HPSA 1.00 4.3% 4.3% 4.3% 1.00 4.3% 4.3% 4.4%
HPSA 0.93 <.001 0.87 0.99 4.0% 3.8% 4.3% 0.92 <.001 0.86 0.98 4.0% 3.8% 4.2%
Insurance Type HMO 1.00 4.2% 4.1% 4.3% 1.00 4.2% 4.1% 4.3%
Indemnity 0.76 .110 0.43 1.34 3.3% 1.6% 4.9% 0.73 .068 0.42 1.29 3.1% 1.5% 4.8%
POS 1.03 <.001 1.00 1.06 4.3% 4.3% 4.3% 1.02 .005 1.00 1.05 4.3% 4.2% 4.3%
PPO 1.09 <.001 1.06 1.12 4.5% 4.4% 4.6% 1.10 <.001 1.07 1.13 4.6% 4.5% 4.6%
Percent of Households in County with Income under FPL*** 1.00 .004 1.00 1.00 ** ** ** 1.00 .001 1.00 1.00 ** ** **
Percent of Foreign-born Individuals in County*** 1.02 <.001 1.02 1.02 ** ** ** 1.02 <.001 1.02 1.02 ** ** **
State TB Rate per 100,000**** 1.18 <.001 1.17 1.19 ** ** ** 1.18 <.001 1.16 1.19 ** ** **
Asthma No diagnosis 1.00 4.2% 4.2% 4.3% 1.00 4.2% 4.2% 4.3%
Had diagnosis 1.31 <.001 1.26 1.35 5.3% 5.2% 5.5% 1.27 <.001 1.23 1.31 5.3% 5.1% 5.4%
COPD No diagnosis 1.00 4.3% 4.3% 4.3% 1.00 4.3% 4.3% 4.3%
Had diagnosis 1.48 <.001 1.36 1.62 6.0% 5.6% 6.5% 1.16 <.001 1.06 1.25 4.9% 4.5% 5.3%
Count of Clinical Risk Factors 0 clinical risk factors N/A N/A N/A N/A 1.000 3.8% 3.8% 3.8%
1 clinical risk factor N/A N/A N/A N/A N/A N/A N/A 2.82 <.001 2.75 2.89 9.4% 9.2% 9.6%
2 clinical risk factors N/A N/A N/A N/A N/A N/A N/A 4.23 <.001 4.01 4.45 13.0% 12.5% 13.5%
3 clinical risk factors N/A N/A N/A N/A N/A N/A N/A 4.91 <.001 4.41 5.47 14.6% 13.4% 15.8%
4 clinical risk factors N/A N/A N/A N/A N/A N/A N/A 9.70 <.001 7.35 12.80 23.6% 19.3% 27.8%
> = 5 clinical risk factors N/A N/A N/A N/A N/A N/A N/A 18.51 <.001 9.39 36.49 34.8% 21.8% 47.7%
HIV No diagnosis 1.00 4.3% 4.2% 4.3% N/A N/A N/A N/A
Had diagnosis 11.02 <.001 10.05 12.08 26.7% 25.2% 28.2% N/A N/A N/A N/A N/A N/A N/A
Immuno-supressive Medications No medication/ procedure 1.00 4.0% 4.0% 4.1% N/A N/A N/A N/A
Had medication/ procedure 17.51 <.001 16.79 18.26 34.4% 33.7% 35.2% N/A N/A N/A N/A N/A N/A N/A
Diagnosis of Contact with TB No diagnosis 1.00 4.2% 4.2% 4.2% N/A N/A N/A N/A
Had diagnosis 108.88 <.001 97.05 122.14 71.6% 69.6% 73.7% N/A N/A N/A N/A N/A N/A N/A
History/Late Effects of TB No diagnosis 1.00 4.3% 4.3% 4.3% N/A N/A N/A N/A
Had diagnosis 4.47 <.001 3.22 6.19 14.5% 11.0% 18.0% N/A N/A N/A N/A N/A N/A N/A
Diabetes No diagnosis/ medication 1.00 4.3% 4.3% 4.3% N/A N/A N/A N/A
Had diagnosis/ medication 1.15 <.001 1.10 1.20 4.8% 4.7% 5.0% N/A N/A N/A N/A N/A N/A N/A
Tobacco No diagnosis/ medication 1.00 4.3% 4.3% 4.3% N/A N/A N/A N/A
Had diagnosis/ medication 1.12 <.001 1.07 1.18 4.7% 4.5% 4.9% N/A N/A N/A N/A N/A N/A N/A
Leukemia or Lymphoma No diagnosis 1.00 4.3% 4.3% 4.4% N/A N/A N/A N/A
Had diagnosis 0.55 <.001 0.46 0.64 2.5% 2.2% 2.9% N/A N/A N/A N/A N/A N/A N/A
Lung Cancer No diagnosis 1.00 4.3% 4.3% 4.3% N/A N/A N/A N/A
Had diagnosis 1.35 .001 0.99 1.84 5.6% 4.1% 7.0% N/A N/A N/A N/A N/A N/A N/A
Head or Neck Cancer No diagnosis 1.00 4.3% 4.3% 4.3% N/A N/A N/A N/A
Had diagnosis 1.01 .923 0.71 1.44 4.4% 3.0% 5.7% N/A N/A N/A N/A N/A N/A N/A
Lung Disease Due to External Agents No diagnosis 1.00 4.3% 4.3% 4.3% N/A N/A N/A N/A
Had diagnosis 1 800 <.001 1.04 3.13 7.1% 3.8% 10.4% N/A N/A N/A N/A N/A N/A N/A
Gastrectomy or Gastric Bypass No diagnosis/ procedure 1.00 4.3% 4.3% 4.3% N/A N/A N/A N/A
Had diagnosis/ procedure 1.31 <.001 1.16 1.49 5.4% 4.9% 6.0% N/A N/A N/A N/A N/A N/A N/A
ESRD/Dialysis No diagnosis 1.00 4.3% 4.3% 4.3% N/A N/A N/A N/A
Had diagnosis 1.40 <.001 1.22 1.60 5.7% 5.1% 6.4% N/A N/A N/A N/A N/A N/A N/A
Alcohol Use Disorder No diagnosis 1.00 4.3% 4.3% 4.3% N/A N/A N/A N/A
Had diagnosis 1.29 <.001 1.17 1.41 5.3% 4.9% 5.8% N/A N/A N/A N/A N/A N/A N/A
Drug Use Disorder No diagnosis 1.00 4.3% 4.3% 4.3% N/A N/A N/A N/A
Had diagnosis 1.06 .020 0.98 1.16 4.5% 4.2% 4.9% N/A N/A N/A N/A N/A N/A N/A

* Calculated as the average predicted probability of a test conditional on all observations being in the category represented by the row. The difference between the predicted probabilities for two categories of a given categorical variable represents the average marginal effect.

** The percent of households in county with income under FPL, percent of foreign-born individuals in county, and the state TB rate were entered into the models as continuous variables. Average predicted probability of Mycobacterium tuberculosis screening at the minimum, maximum, and quartile values of these variables can be found in Table 4.

*** Unit of increase is 1 per cent.

**** Unit of increase is 1 per 100,000.

Abbreviations:

TST = tuberculin skin test

IGRA = interferon-gamma release assay

PCP = primary care provider

TB = tuberculosis

FPL = federal poverty level

COPD = chronic obstructive pulmonary disease

HIV = human immunodeficiency virus

ESRD = end stage renal disease

HMO = health maintenance organization

PPO = preferred provider organization

POS = place of service