Table 2

Respondent Health Need and Association with Alternative Medicine Use (Versus Use of Neither Alternative Medicine nor Conventional Care

Model 11

Model 22

Model 33

Model 44


UOR5

CI6

AOR7

CI6

AOR7

CI6

AOR7

CI6

AOR7

CI6


One or More Health Needs9


Yes

1.84

1.59-2.12

1.84

1.59-2.12

1.98

1.70-2.32

1.83

1.56-2.15

1.75

1.49-2.06


No (ref)

1.00

1.00

1.00

1.00

1.00


Wald chi-square (d.f.; p-value)

68.95 (1; p < .001)

91.51 (4; p < .001)

234.36 (18; p < .001)

305.55 (23; p < .001)

432.10 (30; p < .001)


Improvement chi-square8 (d.f.; p-value)

---

22.56 (3; p < .001)

142.85 (14; p < .001)

71.19 (5; p < .001)

126.55 (7; p < .001)


1 The dichotomous, composite health need measure was entered into a model controlling for the external environment (region of residence) measures significantly associated (p < .05) with the dependent variable in Table 1.

2 The dichotomous, composite health need measure was entered into a model controlling for the external environment and predisposing measures (sex, age, race and ethnicity, education, class of worker, and born in the U.S.) significantly associated (p < .05) with the dependent variable in Table 1.

3 The dichotomous, composite health need measure was entered into a model controlling for the external environment, predisposing measures, enabling measures (poverty status and health insurance coverage), and barriers to conventional care (delayed care due to cost and/or non-cost barriers) significantly associated (p < .05) with the dependent variable in Table 1.

4 The dichotomous, composite health need measure was entered into a model controlling for the external environment, predisposing measures, enabling measures, barriers to conventional care, and personal health practice measures (leisure-time physical activity, alcohol drinking status, smoking status) significantly associated (p < .05) with the dependent variable in Table 1.

5 UOR=unadjusted or crude odds ratio.

6 CI= 95% confidence interval.

7 AOR=adjusted odds ratio.

8 Analogous to the F-change statistic in ordinary least squares regression, the improvement chi-square is a test statistic used to determine if the variables entered in each step improve the fit of the model.

9 This measure is defined as any one of: poor or fair health; health is worse off than it was 12 months ago; one or more serious chronic or acute conditions (see definition in Table 1); a functional limitation (see definition in Table 1); and/or back problems.

Nahin et al. BMC Health Services Research 2010 10:220   doi:10.1186/1472-6963-10-220

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