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The occupation of the person who provided the intervention had no significant effect on adherence measures (rank-sum test; physician: effect = 1.0%% p = 0.99; nurse: effect = 1.3 % p = 0.93; psychologist: effect = 4.7 % p = 0.72; pharmacist: effect = 5.4 % p = 0.58; support partner: effect = −5.8 % p = 0.45).
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More probably, the relatively low number of physicians included in the study limited the power of our statistical tests: in hierarchical models with random physician effects, power is linked above all else to the number of physicians analyzed [ 24, 26].
The study of adherence should necessarily take into account the medical complexity of variable effects of treatments taken individually, physician effects (adequacy of the therapeutic prescription, physician-patient relationship, etc), and associated activities prescribed and followed (or not).
The solution is to add physician-level information on their patients' true disease status to the model, in order to obtain an unbiased estimate of the within-physician effect of tumor type [ 8].
The actual physician spillover effect was 16%2.2%18.2%.2%).
Data will be analyzed taking into account patient and physician clustering effect.
We found that the physician spillover effect was greater in cases compared with controls.
There was no physician age effect on scintigraphy uptake by endocrinologists.
The physician spillover effect evaluates the impact of past interventions on prescribers for the future care of the patients.
The probable cause of high physician spillover effect in cases was the continuous pharmacist educational interventions during and prior to the study period.
To our knowledge, this study is the first of its kind in research methodology to be carried out to evaluate the physician spillover effect in a large RDUR program.
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CEO of Professional Science Editing for Scientists @ prosciediting.com