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Table 5 Cross-sectional moderations

From: Associations between new health conditions and healthcare service utilizations among older adults in the United Kingdom: effects of COVID-19 risks, worse financial situation, and lowered income

  Wave 1 Wave 2
Cnd → Tcn Cnd → Acr Cnd → Tcn Cnd → Acr
Csk Csk Csk Csk
Coeff. LLCI ULCI Coeff. LLCI ULCI Coeff. LLCI ULCI Coeff. LLCI ULCI
Constant .2091 .1947 .2235 .2339 .2051 .2626 −.0008 −.0207 .0192 −.0005 −.0198 .0187
Cnd .0015 −.0182 .0212 −.0183 −.0489 .0122 .0341 .0033 .0649 .0316 .0016 .0617
CFn .0530 .0198 .0862 .0408 −.0240 .1057 −.0280 −.0548 −.0012 −.0291 −.0542 −.0040
Cnd × CFn −.0031 −.0487 .0425 −.0470 −.1142 .0203 −.0467 −.0835 −.0099 −.0587 −.0945 −.0229
R-sq .0016    .0034    .0054    .0062   
  Tcn Acr Tcn Acr
Constant −1.8084 −1.8951 −1.7216 −.4118 −.5372 −.2865 −1.1799 −1.2634 −1.0964 1.2068 1.1263 1.2874
Csk .1860 .0543 .3178 −.0338 −.2357 .1681 .1817 .0401 .3232 −.1631 −.2975 −.0286
Cnd .4943 .4042 .5844 .1413 .0180 .2646 .1098 −.0141 .2337 −.1077 −.2270 .0115
CIn1 −.0472 −.2824 .1880 −.2159 −.5718 .1400 .1216 −.0846 .3279 −.0147 −.2144 .1850
Csk × CIn −.0500 −.3386 .2386 .2372 −.2143 .6887 .0305 −.2424 .3035 .1320 −.1318 .3958
CFn1 .1451 −.0610 .3511 −.4126 −.7318 −.0934 −.0270 −.1511 .0972 .2646 .1447 .3844
Cnd × CFn −.0906 −.3130 .1319 −.0109 −.3137 .2920 −.0704 −.2303 .0894 −.0212 −.1770 .1345
Cnd × CIn .1284 −.1101 .3669 .1826 −.1512 .5164 .0865 −.2152 .3881 .0054 −.2910 .3019
-2LL 6187.6329    2508.8552    3364.9685    3652.6888   
Model LL 160.7405    25.7447    16.0686    35.4761   
McFadden .0253    .0102    .0048    .0096   
CoxSnell .0229    .0135    .0052    .0104   
Nagelkrk .0382    .0183    .0078    .0157   
N 6926    1896    3090    3399   
  1. Cnd new health conditions, Tcn treatment cancellation, Acr accessible care, Csk COVID-19 risks, CFn worse financial situation, CIn lowered income, LLCI low limit confidence interval, ULCI upper limit confidence interval