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Rising co-payments and continuity of healthcare for Dutch patients with bipolar disorder: retrospective longitudinal cohort study

Published online by Cambridge University Press:  31 August 2021

Arnold P. M. van der Lee*
Affiliation:
Department of Psychiatry, VU University Medical Center, Amsterdam University Medical Center, the Netherlands
Ralph Kupka
Affiliation:
Department of Psychiatry, VU University Medical Center, Amsterdam University Medical Center, the Netherlands
Lieuwe de Haan
Affiliation:
Department of Psychiatry, Academic Medical Center, Amsterdam University Medical Center, the Netherlands
Aartjan T. F. Beekman
Affiliation:
Department of Psychiatry, VU University Medical Center, Amsterdam University Medical Center, the Netherlands
*
Correspondence: Arnold P. M. van der Lee. Email: ap.vanderlee@amsterdamumc.nl
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Abstract

Background

The Netherlands has few financial barriers to access mental healthcare. However, in 2012, a sharp rise in co-payments was introduced.

Aims

We tested whether these increased co-payments coincided with less guideline-recommended continuous out-patient psychiatric care and more crisis interventions for patients with bipolar disorder.

Method

A retrospective longitudinal cohort study on a health insurance registry was performed to examine trends, and deviations from these trends, in the healthcare received by patients with bipolar disorder. Deviations of trends were tested by time-series analyses (autoregressive integrated moving average). Subsequently, the relationship between significant deviations of trends and rise in co-payments was examined. Outcome measures were the level of standard out-patient care (out-patient psychiatric care and/or medication), crisis psychiatric care and somatic care.

Results

The cohort comprised 3210 patients. During follow-up, the use of psychiatric care decreased and somatic care increased. The high rise in co-payments from 2012 onward coincided with decreases in standard out-patient care and increases in medication-only treatment, crisis psychiatric care and somatic care. Crisis intervention was highest when patients received only bipolar disorder medication. Patients receiving continuous standard out-patient care (62%) had less crisis intervention compared with the other patients.

Conclusions

Our data suggest that the rise of co-payments decreased guideline-recommended continuous out-patient psychiatric care among patients with bipolar disorder, and increased crisis psychiatric care.

Information

Type
Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Royal College of Psychiatrists
Figure 0

Fig. 1 Flow chart of inclusion of 3210 patients with bipolar disorder.

Figure 1

Table 1 Trends in psychiatric and somatic care over 2009–2014a

Figure 2

Fig. 2 Standard out-patient care in relation to co-payments for psychiatric care.

Figure 3

Fig. 3 Percentage of patients receiving standard out-patient care with medication for bipolar disorder. Time-series analyses is a two-step process. First, the data are visually inspected; second, based on the observations, a time-series model will be built to statistically test observed deviations. In this example we show this process. First, starting inspection, a decreasing trend can be observed. The trend is not decreasing evenly, but shows a seasonal pattern. For example, the points of the fourth quarters of 2009–2011, are higher than the points of the other quarters in the same year, with an exception in 2012. Next, deviations of this trend and the seasonal pattern are examined. The deviations appear to begin at the first quarter of 2012. This can be seen in Fig. 3 because the point of the first quarter of 2012 is lower than would be expected, which can be seen by drawing a line connecting the points of the first quarters in 2009–2011 and extending the line into 2012. In the same way, the points of the quarters 2, 3 and 4 of 2012 are all lower than would be expected by extending the lines of their corresponding quarters. Therefore, the decreasing trend decreases even more in 2012. In autoregressive integrated moving average (ARIMA) modelling this is called a downward level shift. The second step in the time-series analyses is to test if the observed deviations, downward or upward level shifts, are statistically significant, using ARIMA modelling. The data per quarter of the year can be found in Supplementary Tables 1 and 2 with the statistical results of the time-series analyses.

Figure 4

Fig. 4 Statistically significant deviations of the general trends in standard out-patient care, crisis psychiatric care and somatic care: increases and decreases. aContinuity of standard out-patient care was defined as receiving standard out-patient care during every quarter of 2009–2014. DBC, diagnose behandel combinatie (diagnosis treatment combination); DDD, defined daily dose.

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