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Huisartsgeneeskunde: aantrekkingskracht en beroepstrouw ... - Lirias

Huisartsgeneeskunde: aantrekkingskracht en beroepstrouw ... - Lirias

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56 Making G<strong>en</strong>eral Practice Attractive: Encouraging GP attraction and Ret<strong>en</strong>tion KCE Reports 90<br />

The table also illustrates the effect sizes of the stud<strong>en</strong>t opinions on how to make the<br />

GP profession more attractive.<br />

3.6.4.1 Financial inc<strong>en</strong>tives<br />

The strongest effect (0.382) concerns the item with respect to income. Stud<strong>en</strong>ts who<br />

study family medicine/g<strong>en</strong>eral practice are more likely than the other stud<strong>en</strong>ts to state<br />

that the income gap betwe<strong>en</strong> specialists and GPs should not be so large. The stud<strong>en</strong>ts<br />

wanting to specialize are not as <strong>en</strong>thusiastic as the future-GPs about the idea of a<br />

financial inc<strong>en</strong>tive for the practice support, but they also think it would make the GP<br />

profession more attractive. The same can be said about organizing continuity during the<br />

night and the week<strong>en</strong>d.<br />

3.6.4.2 GP influ<strong>en</strong>ce in policy decisions<br />

GP-stud<strong>en</strong>ts are more in favor for ‘a greater influ<strong>en</strong>ce of GPs in the policy decisions<br />

wh<strong>en</strong> their pati<strong>en</strong>ts are tak<strong>en</strong> to hospital’ (effect size = 0.220). Appar<strong>en</strong>tly stud<strong>en</strong>tspecialists<br />

do not want the interfer<strong>en</strong>ce of the GP wh<strong>en</strong> a pati<strong>en</strong>t is admitted to<br />

hospital, ev<strong>en</strong> though they are also in favor of the obligatory registration of a pati<strong>en</strong>t<br />

with a GP.<br />

3.6.4.3 Gatekeeping<br />

The final statistically significant effect can be found in the proposition to make g<strong>en</strong>eral<br />

practice more attractive by obliging people to go and see a GP before consulting a<br />

specialist. Although all stud<strong>en</strong>ts think that this measure will have a positive influ<strong>en</strong>ce on<br />

the interest of the GP-profession, the GP-stud<strong>en</strong>ts value this measure more positively.<br />

3.6.4.4 Results of the binary logistic regression<br />

Controlling for g<strong>en</strong>der and differ<strong>en</strong>ces betwe<strong>en</strong> stud<strong>en</strong>t population of Dutch and Fr<strong>en</strong>ch<br />

speaking parts of Belgium (table 7, app<strong>en</strong>dix 3.8), four statistically significant<br />

relationships can be noticed y . They relate to the income, duty obligation, pati<strong>en</strong>t list and<br />

fee-for-service system:<br />

3.7 DISCUSSION<br />

3.7.1 G<strong>en</strong>eral observations<br />

• the chance that a stud<strong>en</strong>t chooses g<strong>en</strong>eral practice is great wh<strong>en</strong> this<br />

stud<strong>en</strong>t is in favor of the idea that a GP should earn as much as a<br />

specialist (odds ratio 3.462 [95% CI (1,741-6,885)])<br />

• the chance of a choice for GP is also great wh<strong>en</strong> the stud<strong>en</strong>t thinks<br />

that continuity during the night and week<strong>en</strong>d should be organized via<br />

doctors on call (odds ratio 3.563 [95% CI (1,079-11,763)])<br />

• the chance of a choice for GP is great wh<strong>en</strong> the stud<strong>en</strong>t is in favor of a<br />

pati<strong>en</strong>t-list system with the GP (odds ratio 2.204 [95% CI (1,197-<br />

4,059)]).<br />

• On the other hand the chance to study GP is smaller wh<strong>en</strong> the stud<strong>en</strong>t<br />

is in favor of the so-called capitation system instead of the fee-forservice<br />

paym<strong>en</strong>t (odds ratio 0.479 [95% CI (0,278-0,824)]). Again being<br />

a female stud<strong>en</strong>t reinforces these relationships.<br />

This study offers a snapshot of the opinions and attitudes of the sev<strong>en</strong>th year medical<br />

stud<strong>en</strong>ts in Belgium in relation to their future work. As shown by the statistics on GP<br />

y Before putting the statem<strong>en</strong>ts in a binary logistic regression the answers were dichotomised e..g.<br />

completely disagree, disagree and disagree a bit became ‘disagree’ and agree a bit, agree and completely<br />

disagree became ‘agree’.

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