| Literature DB >> 31996994 |
Charles Timäus1, Jonathan Vogelgsang2, Bernhard Kis2,3, Katrin Radenbach2, Claus Wolff-Menzler2, Kiriaki Mavridou2, Stephan Gyßer4, Philipp Hessmann2, Jens Wiltfang2,5,6.
Abstract
The purpose of the study was to evaluate the current clinical practice of Electroconvulsive Therapy and Repetitive Transcranial Magnetic Stimulation in German psychiatry. Case-based data (> 1.000.000 cases) were collected according to §21 of the German hospital remuneration law from January 2015 to December 2017. The study cohort comprises approximately 35-40% of the annual psychiatric cases and hospitals in Germany. Frequency of ECT and rTMS cases were investigated considering main diagnoses according to ICD-10 and treatment settings (inpatient vs. day-care). ECT cases with short-term hospitalization (≤ 4 days) were supposed to be maintenance ECT cases. A linear regression analysis was conducted to estimate trends in the use of ECT and rTMS. Different groups were compared using Chi-square tests. ECT and rTMS cases appear to increase in total during the observation period possibly due to facilities newly introducing ECT and rTMS but also to increased frequency of treatments. Both treatments were rarely performed in day-care settings (0.89% and 11.25%). ECT was performed in 1.72% of all cases with affective disorders and in 1.48% with major depressions, respectively. Age ≥ 65 years, females, severe and psychotic depression were significantly associated with a higher rate of ECT cases. > 40% of all ECT cases were possibly maintenance ECT cases. Only 0.60% of these were performed in day- care settings. rTMS was primarily performed in major depression (86,7% of all rTMS cases). This study suggests a growing demand for ECT and rTMS. Nevertheless, the use of ECT is still low compared to the high prevalence of treatment resistant depression. The use of rTMS is even lower and seems to be restricted to specialized institutions. Maintenance ECT is frequently carried out in an inpatient setting. Limitations of this study are the case- and group-based analysis, missing data on outpatient services and treatment sessions per case. Therefore, the database is not necessarily representative for the entire German healthcare system. Further studies are needed to verify the presented findings and should address the feasibility of ambulatory and day-care ECT services.Entities:
Keywords: Ambulatory; Brain stimulation; ECT; Neurostimulation; Noninvasive; rTMS
Mesh:
Year: 2020 PMID: 31996994 PMCID: PMC8179911 DOI: 10.1007/s00406-020-01099-x
Source DB: PubMed Journal: Eur Arch Psychiatry Clin Neurosci ISSN: 0940-1334 Impact factor: 5.270
Description of the case study cohort (upper section) and epidemiologic data of the Federal Office of Statistics of Germany (lower section): overall number of included clinics and clinics providing ECT or rTMS; overall number of clinics are also given as proportions (%) of all psychiatric clinics registered by the Federal Office of Statistics of Germany; number of inpatient and day-care cases of the study cohort; total number of cases are also given as proportions (%) of all cases registered by the Federal Office of Statistics of Germany
| 2015 | 2016 | 2017 | |
|---|---|---|---|
| Number (%) of clinics study—(all) | 171 (41.81) | 171 (41.81) | 160 (39.31) |
| Number of clinics study—(ECT) | 60 | 61 | 61 |
| Number of clinics study—(rTMS) | 10 | 10 | 11 |
| Number of cases—inpatient | 285,243 | 296,024 | 277,150 |
| Number of cases—day-care | 50,100 | 53,578 | 50,866 |
| Number (%) of cases—total | 335,343 (34.59) | 349,602 (36.35) | 328,016 (34.34) |
| Number of clinics—Germanya | 409 | 409 | 407 |
| Number of cases—inpatienta | 824,521 | 816,316 | 806,227 |
| Number of cases—day-carea | 145,003 | 145,574 | 149,070 |
| Number of cases—totala | 969,524 | 961,890 | 955,297 |
aStatistisches Bundesamt. Grunddaten der Krankenhäuser 2015, 2016, 2017. https://www.destatis.de/DE/Themen/Gesellschaft-Umwelt/Gesundheit/Krankenhaeuser/_inhalt.html#sprg234206. Accessed 7 November 2019
Fig. 1(Left side) Frequency of ECT cases from January 2015 to December 2017 in inpatient and day-care settings considering F00–F99 diagnoses; number of cases (y axis) are plotted per quarter (x axis); (right side) linear regression analysis: equation of best- fit line, goodness-of-fit expressed in r2
Comparison of the groups with and without ECT between January 2015 and December 2017. Cases with the ICD-10 diagnoses F00–F99 (upper section), F30-F39 (middle section) and F20–F29 (bottom section) were analyzed. Significant results are highlighted in bold characters
| Year | ECT | No ECT | Total | ECT (%) | ||||
|---|---|---|---|---|---|---|---|---|
| F00–F99 | ||||||||
| 2015 | 2533 | 332,810 | 335,343 | 0.76 | 2015 vs. 2016 | 5.806 | 1 | < 0.0160 |
| 2016 | 2820 | 346,782 | 349,602 | 0.81 | 2016 vs. 2017 | 25.24 | 1 | |
| 2017 | 3016 | 325,000 | 328,016 | 0.92 | 2015 vs. 2017 | 53.85 | 1 | |
| F30–F39 | ||||||||
| 2015 | 1869 | 114,874 | 116,743 | 1.60 | 2015 vs. 2016 | 1.989 | 1 | < 0.1584 |
| 2016 | 2034 | 119,447 | 121,481 | 1.67 | 2016 vs. 2017 | 17.40 | 1 | |
| 2017 | 2199 | 113,461 | 115,660 | 1.90 | 2015 vs. 2017 | 30.47 | 1 | |
| F20–F29 | ||||||||
| 2015 | 609 | 49,465 | 50,074 | 1.22 | 2015 vs. 2016 | 6.560 | 1 | < 0.0104 |
| 2016 | 730 | 51,476 | 52,206 | 1.40 | 2016 vs. 2017 | 2.711 | 1 | < 0.0995 |
| 2017 | 745 | 48,185 | 48,930 | 1.52 | 2015 vs. 2017 | 17.22 | 1 |
Fig. 2Total number of cases with and without performed ECT from January 2015 to December 2017 (left side) and annual proportions of ECT cases (%) (right side) considering the severity grade of major depression
Fig. 3The proportion of ECT cases (in %) in terms of severity of depression and age
Fig. 4(Left side) Frequency of rTMS cases from January 2015 to December 2017 in inpatient and day- care settings considering F00–F99 diagnoses; Number of cases (y axis) are plotted per quarter (x axis); (right side) Linear regression analysis: equation of best-fit line, goodness-of-fit expressed in r2
Comparison of the groups with and without rTMS between January 2015 and December 2017. Cases with the ICD-10 diagnoses F00–F99 (upper section), F30–F39 (middle section) and F32.2 and F33.2 (bottom section) were analyzed. Significant results are highlighted in bold characters
| Year | rTMS | No rTMS | Total | rTMS (%) | ||||
|---|---|---|---|---|---|---|---|---|
| F00–F99 | ||||||||
| 2015 | 197 | 335,146 | 335,343 | 0.06 | 2015 vs. 2016 | 2.212 | 1 | < 0.1370 |
| 2016 | 237 | 349,365 | 349,602 | 0.07 | 2016 vs. 2017 | 40.61 | 1 | |
| 2017 | 375 | 327,641 | 328,016 | 0.11 | 2015 vs. 2017 | 59.45 | 1 | |
| F30–F39 | ||||||||
| 2015 | 174 | 116,569 | 116,743 | 0.15 | 2015 vs. 2016 | 4.459 | 1 | < 0.0347 |
| 2016 | 224 | 121,257 | 121,481 | 0.18 | 2016 vs. 2017 | 35.18 | 1 | |
| 2017 | 352 | 115,308 | 115,660 | 0.30 | 2015 vs. 2017 | 62.05 | 1 | |
| F32.2 and F33.2 | ||||||||
| 2015 | 143 | 65,636 | 65,779 | 0.22 | 2015 vs. 2016 | 2.691 | 1 | < 0.1009 |
| 2016 | 182 | 69,547 | 69,729 | 0.26 | 2016 vs. 2017 | 25.173 | 1 | |
| 2017 | 249 | 67,316 | 67,565 | 0.37 | 2015 vs. 2017 | 25.98 | 1 |