| Literature DB >> 28222691 |
Lars Dinkelbach1, Bettina Möller2, Karsten Witt2, Alfons Schnitzler1, Martin Südmeyer3,4.
Abstract
BACKGROUND: The introduction of deep brain stimulation (DBS) about 25 years ago provided one of the major breakthroughs in the treatment of Parkinson's disease (PD). However, a high percentage of patients are reluctant to undergo DBS. Previous research revealed that the critical step on the patient's path to DBS is the decision whether to undergo further diagnostic assessment for surgery at a specialized DBS-center. The aims of the current study were to evaluate how effective the combination of an outpatient DBS screening tool, STIMULUS, with specially developed educational material was to enhance patient education on DBS and to identify motivational aspects which influenced the patients' willingness to undergo further assessment.Entities:
Keywords: Deep brain stimulation; Parkinson’s disease; Patient education; Referral; Treatment acceptance
Mesh:
Year: 2017 PMID: 28222691 PMCID: PMC5320695 DOI: 10.1186/s12883-017-0820-7
Source DB: PubMed Journal: BMC Neurol ISSN: 1471-2377 Impact factor: 2.474
Fig. 1Illustration of the screening and preselection process. 264 patients were preselected as promising candidates for neurostimulation and thus included in the current study. Finally, 114 (43.2%) of 264 preselected patients consented to referral to a specialized DBS-center to undergo further diagnostic examinations
Correlation between patients’ consent to be referred to a DBS center, clinical characteristics and the contents of clarification sessions
| Group Consent | Group Refusal | |||||
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| Numerical Data | ||||||
| Age | 262 | 63 | 53–70 | 67 | 60–71 |
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| Disease duration | 245 | 9 | 5–12 | 8 | 6–12 | 0.618 |
| Hoehn & Yahr Stage | 250 | 3 | 2–3 | 3 | 2–3 | 0.995 |
| Eligibility for DBS (STIMULUS Score) | 260 | 8 | 7–9 | 8 | 7–9 | 0.682 |
| Subjective Impairment | 255 | 7 | 6–8 | 7 | 6–8 | 0.178 |
| Number of topics addressed in the clarification talk | 264 | 6 | 4–9 | 5 | 3–9 |
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| Categorial Data |
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| Gender | Male | 73 | 64.0 | 99 | 66.0 | 0.795 |
| Female | 41 | 36.0 | 51 | 34.0 | ||
| Occupation | Working | 21 | 18.4 | 17 | 11.3 | 0.362 |
| Retired | 79 | 69.3 | 118 | 78.7 | ||
| Unemployed | 13 | 11.4 | 14 | 9.3 | ||
| Subtype | Akinetic-rigid | 45 | 39.5 | 33 | 22.0 |
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| Tremor dominant | 21 | 18.4 | 38 | 25.3 | ||
| Equivalent | 48 | 42.1 | 79 | 52.7 | ||
| Evaluation of the information material | Helpful | 79 | 89.8 | 77 | 69.4 | < |
| Uncertain | 8 | 9.1 | 20 | 18.0 | ||
| Not helpful | 1 | 1.1 | 14 | 12.6 | ||
| Information source‡ | Media | 4 | 3.5 | 9 | 6.0 | 0.265 |
| Doctor | 93 | 81.6 | 117 | 78.0 | 0.539 | |
| Support group | 3 | 2.6 | 8 | 5.3 | 0.360 | |
| Others | 1 | 0.9 | 1 | 0.7 | >0.999 | |
| Patient with DBS | 3 | 2.6 | 0 | 0.0 | 0.079 | |
| Contents of clarification talk‡ | motor improvement | 104 | 91.2 | 117 | 78.0 |
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| quality of life | 106 | 93.0 | 114 | 76.0 | < | |
| side effects of medication | 86 | 75.4 | 76 | 50.7 | < | |
| optimal time frame | 66 | 57.9 | 50 | 33.3 | < | |
| expectations | 60 | 52.6 | 62 | 41.3 | 0.081 | |
| change of role model in partnership | 20 | 17.5 | 25 | 16.7 | 0.870 | |
| patients fears | 20 | 17.5 | 20 | 13.3 | 0.388 | |
| evidence of DBS | 44 | 38.6 | 34 | 22.7 |
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| experience with DBS | 43 | 37.7 | 54 | 30.0 | 0.191 | |
| complications of DBS surgery | 63 | 55.3 | 74 | 49.3 | 0.385 | |
| side effects of DBS | 58 | 50.9 | 63 | 42.0 | 0.171 | |
| effects of medication withdrawal | 32 | 28.1 | 39 | 26.0 | 0.780 | |
| progression of PD | 52 | 45.6 | 58 | 38.7 | 0.260 | |
| others | 16 | 14.0 | 9 | 6.0 |
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* To analyze the impact of numerical data on patients’ decisions, Mann-Whitney U tests were calculated and the median and 25.-75. quartiles are presented. For categorial variables with more than two categories (subtype and occupation) Chi-Square tests were conducted. For categorial variables with two categories, Fisher's exact tests were conducted. Exact two-tailed p values are presented. A variable with a p value < 0.05 was considered as a potential predictive variable and therefore included in the binary regression analysis.
‡ In the categories information source and contents of clarification talk more than one option could be reported. Therefore, Fisher's exact tests were calculated for the prevalence or absence of each topic/source and the resulting p values are presented. To clarify the presentation only the number of prevalent cases are shown.
The entries in italicized represent significant p values (lower than 0.05)
Coefficients of the predictive regression model
| Odds ratio† | 95% Confidence Interval |
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| Age | 0.96 | 0.93 | 0.98 | 0.002 |
| Akintetic-rigid type | 2.32 | 1.29 | 4.15 | 0.005 |
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| optimal time frame | 2.24 | 1.28 | 3.94 | 0.005 |
| side effects of medication | 2.22 | 1.23 | 4.0 | 0.008 |
Table 2 summarizes the variables which significantly increased the predictive value of the resulting regression model.
† Odds ratios compare patients who consented with patients who failed to show up at a DBS-center. As an example, the Odds ratio of 2.32 indicates that the chance of a “consent” patient having an akinetic-rigid subtype is 2.32 times higher than the chance of a “refuser”