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Table 2 Simple and multivariable logistic regression to assess factors affecting high expectations

From: An assessment of public experiences and expectations with physicians: a cross sectional study from Karachi, Pakistan

Variables

Crude

Odds Ratio [95% CI]

Adjusted

Odds Ratio [95% CI]

Gender

Male

Reference

Female

0.89 [0.60–1.31]

Age

18–25

Reference

26–40

1.04 [0.65–1.66]

1.03 [0.62–1.72]

18–25 41–60

1.60 [0.95–2.69]

1.66 [0.95–2.91]

More than 60

4.65 [1.25–17.3]

4.54 [1.18–17.50]

Area of Residence

Planned Urban

Reference

 

Squatter Settlement

1.79 [1.15–2.77]

1.23 [0.68–2.20]

Monthly household income (PKR)

≤ 25,000

Reference

 

Between 25,000–100,000

0.73 [0.43–1.23]

0.81 [0.42–1.43]

Between 100,000–500,000

0.38 [0.21–0.67]

0.40 [0.20–0.79]

> 500,000

0.50 [0.25–0.98]

0.48 [0.22–1.07]

Highest level of education

< 5 years (Primary school)

Reference

 

5–10 years (Matric/ O level)

0.52 [0.23–1.15]

0.58 [0.25–1.33]

10–12 years (Intermediate/ A level)

0.56 [0.24–1.31]

0.99 [0.37–2.61]

12–14 years (bachelor’s degree)

0.31 [0.14–0.65]

0.53 [0.22–1.28]

>14 years (Postgraduate degree)

0.49 [0.22–1.06]

0.98 [0.38–2.50]

Occupational Status

Student

Reference

Un-Employed

1.64 [0.84–3.20]

Employed

1.06 [0.61–1.85]

Retired

1.10 [0.29–4.20]

  1. Significant results are provided in bold