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Published in: BMC Health Services Research 1/2023

Open Access 01-12-2023 | Varicosis | Research

Attributing practice variation by its sources: the case of varicose veins treatments in the Netherlands

Authors: Luca Schippa, Katalin Gaspar, Eric van der Hijden, Xander Koolman

Published in: BMC Health Services Research | Issue 1/2023

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Abstract

Background

Unwarranted practice variation refers to regional differences in treatments that are not driven by patients’ medical needs or preferences. Although it is the subject of numerous studies, most research focuses on variation at the end stage of treatment, i.e. the stage of the treating specialist, disregarding variation stemming from other sources (e.g. patient preferences, general practitioner referral patterns). In the present paper, we introduce a method that allows us to measure regional variation at different stages of the patient journey leading up to treatment.

Methods

A series of logit regressions estimating the probability of (1) initial visit with the physician and (2) treatment correcting for patient needs and patient preferences. Calculating the coefficient of variation (CVU) at each stage of the patient journey.

Results

Our findings show large regional variations in the probability of receiving an initial visit, The CVU, or the measure of dispersion, in the regional probability of an initial visit with a specialist was significantly larger (0.87–0.96) than at the point of treatment both conditional (0.14–0.25) and unconditional on an initial visit (0.65–0.74), suggesting that practice variation was present before the patient reached the specialist.

Conclusions

We present a new approach to attribute practice variation to different stages in the patient journey. We demonstrate our method using the clinically-relevant segment of varicose veins treatments. Our findings demonstrate that irrespective of the gatekeeping role of general practitioners (GPs), a large share of practice variation in the treatment of varicose veins is attributable to regional variation in primary care referrals. Contrary to expectation, specialists’ decisions meaningfully diminish rather than increase the amount of regional variation.
Footnotes
1
Coefficient of variation (CVU) is the ratio of the measure of variability, usually the standard deviation divided by the average about which the variation occurs. It is commonly used statistic in economics, physics, and engineering. (Reed, Lynn, & Meade, 2002), (Lewis & Rao, 2015),(Tateno & Robinson, 2006).
 
2
We resample our population of plan-holders 1000 times and calculate the difference between CVU(Pr(I)) and CVU(Pr(T|I)) each time, then we infer the distribution of said statistics to determine confidence interval.
 
3
The impact of parametrization is usually negligible. If not, for example because of a deviating error distribution, it will affect both crude and corrected results similarly and facilitate comparison. These probabilities are very close to the crude unmodeled probabilities, as our regression model is near mean preserving, and would be identical in when using ordinary least squares. While regressions are not needed for this step, they facilitate programming and direct comparison.
 
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Metadata
Title
Attributing practice variation by its sources: the case of varicose veins treatments in the Netherlands
Authors
Luca Schippa
Katalin Gaspar
Eric van der Hijden
Xander Koolman
Publication date
01-12-2023
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2023
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-023-10328-7

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