Research Article

Are Cancer Patients’ Socioeconomic and Cultural Factors Associated with Contact to General Practitioners in the Last Phase of Life?

Table 2

Associations between ≥2 GP face-to-face contacts (including in-office consultations and home visits) and home visits in the last 90 days of life and patient-related socioeconomic and cultural characteristics for those 584 patients, who had a full dataset. The unadjusted prevalence ratios (PRs) and the adjusted PRs for the full model are shown with 95% confidence intervals (95% CIs). The full model includes all variables in the table adjusted for gender, age (continuous variable), primary cancer diagnosis, number of days at hospital (continuous variable), place of death, and involvement of palliative specialist team.

GP face-to-face contacts Home visits by the GP
(≤1 contact/≥2 contacts)(No/yes)
Unadjusted prevalence ratio
(95% CI)
valueAdjusted prevalence ratio
(95% CI)
valueUnadjusted prevalence ratio
(95% CI)
valueAdjusted prevalence ratio
(95% CI)
value

Variables in final model
Patient’s marital status
 Single1111
 Married or cohabiting0.99 (0.92; 1.07)0.8371.05 (0.97; 1.14)0.1890.90 (0.83; 0.98)0.0180.97 (0.90; 1.06)0.525
Having children living at home
 No1111
 Yes0.73 (0.55; 0.96)0.0240.83 (0.63; 1.09)0.1770.69 (0.50; 0.94)0.0191.08 (0.78; 1.48)0.651
Patient’s economic status
 High income (>20000 £/year)1111
 Medium income (10001–20000 £/year)1.12 (1.03; 1.23)0.0091.04 (0.96; 1.14)0.3291.23 (1.11; 1.36)0.0001.09 (0.99; 1.19)0.071
 Low income (0–10000 £/year)1.24 (1.11; 1.39)0.0001.18 (1.03; 1.35)0.0171.17 (0.97; 1.41)0.1061.18 (0.98; 1.42)0.074
Employment
 Unemployed, social security,
 student
11
 Old age or early retirement
 pensioner
1.06 (0.95; 1.19)0.283 Not included because
of collinearity with income
1.30 (1.11; 1.52)0.001 Not included because
of collinearity with income
 Employed or leadership position0.83 (0.70; 0.99)0.0380.78 (0.61; 0.99)0.042
Ethnicity
 Not immigrant or descendant1111
 Immigrant or descendant1.10 (0.96; 1.28)0.1751.17 (1.02; 1.35)0.0250.72 (0.50; 1.05)0.0900.78 (0.55; 1.12)0.183
Urbanicity, inhabitants in municipality
 10,000 inhabitants1111
 10,000–49,999 inhabitants0.97 (0.88; 1.06)0.5220.97 (0.89; 1.07)0.5760.97 (0.87; 1.09)0.6331.00 (0.90; 1.12)0.939
 50,000–99,999 inhabitants0.94 (0.84; 1.04)0.2150.92 (0.83; 1.01)0.0950.91 (0.80; 1.04)0.1720.90 (0.80; 1.02)0.115
 ≥100,000 inhabitants0.84 (0.76; 0.93)0.0010.85 (0.77; 0.95)0.0030.86  (0.77; 0.96)0.0080.89 (0.80; 0.99)0.037

The final model was adjusted for the following variables
Gender of patient
 Male1111
 Female1.00 (0.92; 1.07)0.9170.98 (0.90; 1.07)0.6351.02 (0.93; 1.11)0.7190.96 (0.87; 1.06)0.461
Age of patient (continuous variable)1.01 (1.00; 1.01)0.0001.00 (1.00; 1.01)0.0201.01 (1.01; 1.02)0.0001.01 (1.01; 1.02)0.000
Primary cancer diagnosis
 Bronchus/lung1111
 Colon/rectum0.91 (0.81; 1.02)0.1170.91 (0.82; 1.02)0.1240.87 (0.75; 1.00)0.0560.83 (0.73; 0.95)0.008
 Prostate0.90 (0.79; 1.02)0.0860.85 (0.74; 0.96)0.0101.05 (0.94; 1.17)0.3850.94 (0.84; 1.05)0.276
 Breast0.89 (0.77; 1.02)0.0880.91 (0.79; 1.04)0.1580.83 (0.69; 0.98)0.0320.86 (0.71; 1.03)0.109
 Other0.88 (0.81; 0.97)0.0060.90 (0.81; 0.99)0.0310.87 (0.78; 0.96)0.0090.88 (0.79; 0.97)0.010
Days spent at hospital in the last 90 days of the patient’s life (continuous variable)0.99 (0.99; 1.00)0.0000.99 (0.99; 1.00)0.0110.99 (0.99; 1.00)0.0001.00 (0.99; 1.00)0.199
Place of death
 Institutional death (Hospital/hospice)1111
 Home/nursing home death1.28 (1.17; 1.39)0.0001.19 (1.09; 1.29)0.0001.47 (1.33; 2.63)0.0001.33 (1.21; 1.47)0.000
Involvement of a specialist team
 Yes1111
 No 1.05 (0.98; 1.13)0.1891.06 (0.99; 1.14)0.1051.04 (0.95; 1.13)0.3841.10 (1.01; 1.20)0.029

GP: general practitioner.
£: English Pounds.
Note: significant correlations with a value < 0.05 are in bold text.