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Table 2 Distribution of physicians’ prescription goals according to patients’ characteristics

From: Drug prescription goals in primary care: a cross-sectional study

 MortalityMorbidityCureSymptomQuality of lifeFunctioningOther or noneTotal 
Total429(8.5%)1128(22.4%)587(11.7%)2183(43.3%)534(10.6%)91(1.8%)84(1.7%)5036 (100%) 
Gender               p < 0.01
Male213(10.0%)564(26.4%)213(10.0%)858(40.2%)217(10.2%)41(1.9%)28(1.3%)2134 (100%) 
Female216(7.4%)564(19.4%)374(12.9%)1325(45.7%)317(10.9%)50(1.7%)56(1.9%)2902 (100%) 
Age               p < 0.01
0–4444(2.7%)151(9.1%)271(16.4%)970(58.7%)151(9.1%)24(1.5%)42(2.5%)1653(100%) 
≥45385(14.7%)977(31.6%)316(6.7%)1213(31.9%)383(11.7%)67(2.1%)42(1.3%)3383 (100%) 
Patient known by physician               p < 0.01
Yes420(8.7%)1103(23.0%)561(11.7%)2046(42.6%)512(10.7%)83(1.7%)79(1.6%)4804 (100%) 
No9(3.9%)25(10.8%)26(11.2%)137(59.1%)22(9.5%)8(3.4%)5(2.2%)232 (100%) 
Long term condition               p < 0.01
Yes285(16.6%)564(32.9%)112(6.5%)492(28.7%)200(11.7%)39(2.3%)21(1.2%)1713 (100%) 
No144(4.3%)564(17.0%)475(14.3%)1691(50.9%)334(10.1%)52(1.6%)63(1.9%)3323 (100%) 
Low income               NA
Yes18(8.2%)29(13.2%)25(11.4%)108(49.1%)36(16.4%)0(0%)4(1.8%)220 (100%) 
No411(8.5%)1099(22.8%)562(11.7%)2075(43.1%)498(10.3%)91(1.7%)91(1.7%)4816 (100%) 
  1. NA Chi-square test not available due to a theoretical sample < 5