Literature DB >> 23439312

Screening for action tremor in epidemiological field surveys: assessing the reliability of a semi-quantitative, visual, template-based scale for rating hand-drawn spirals.

Elan D Louis1, Qianhua Zhao, Haijiao Meng, Ding Ding.   

Abstract

BACKGROUND: Population-based epidemiological studies of essential and other tremors have need of a rapid yet accurate means to assess tremor, especially mild tremors. Handwriting is often affected by tremor, and a hand-drawn spiral can provide investigators with objective rather than self-reported data. We present a semi-quantitative, ordinal scale to rate hand-drawn spirals. The scale, which includes values for mild tremor, is accompanied by photographic examples of spirals of each rating, providing a visual template for guidance.
METHODS: This study, conducted within the framework of a population-based epidemiological study of 5,000 individuals aged 60 and older in Shanghai, asked enrollees to draw an Archimedes spiral with each hand. Spirals were rated using an ordinal scale (0, 0.5, 1, 1.5, 2, and 3). Three raters rated an initial set of 548 spirals. Four raters rated a subsequent set of 200 spirals using a visual template for guidance.
RESULTS: Initial agreement (548 spirals) was good (r values ranged from 0.49 to 0.62, all p<0.001). Subsequent agreement (200 spirals and using visual template) improved (r values ranged from 0.67 to -0.91, all p<0.001). DISCUSSION: This tool will be useful to researchers who are attempting to rapidly assess action tremor in their field surveys.

Entities:  

Keywords:  Essential tremor; epidemiology; rating scale; reliability; spiral

Year:  2012        PMID: 23439312      PMCID: PMC3368524          DOI: 10.7916/D8QZ28QP

Source DB:  PubMed          Journal:  Tremor Other Hyperkinet Mov (N Y)        ISSN: 2160-8288


Introduction

Population-based epidemiological studies of the prevalence, incidence, and determinants of a variety of types of tremor, including essential tremor (ET),1–3 toxin-induced tremors,4–8 and enhanced physiological tremor,9 require a rapid yet accurate means to assess tremor. The assessment of action tremor in such settings poses practical challenges. For example, although a neurologist specializing in movement disorders is best positioned to provide the most valid measure of tremor severity, it is often not feasible for such a person to examine thousands of participants in field settings. Portable tools for the assessment of tremor, such as the digitizing tablet,10 are available, but these have not been validated in such field studies. Handwriting is often affected by tremor,11 and a hand-drawn spiral can provide investigators with objective rather than subjective (i.e., self-reported) data. Spirals can be collected in the field and rapidly rated at a later point in time. A critical issue is that population-based studies often involve the evaluation of individuals whose tremor is on the mild end of the spectrum.12 Hence, standard rating scales (e.g., 0, 1, 2, 3), used in clinical settings to assess more severe tremor, may not be of value. We have devised a semi-quantitative scale for rating spirals: the scale more precisely distinguishes between tremors in the mild end of the spectrum (e.g., ratings of 0, 0.5, 1, 1.5), which is in marked contrast to previous scales we have used that did not do so. In this report, we present the scale and describe our methods to improve upon the application of the scale so as to maximize its reliability. The issue of reliability is important, that is, whether different raters are able to use the scale to derive comparable ratings. Indeed, demonstrating reliability is an important initial step in epidemiological research as reliability may be the only measure of data quality in situations in which validity is difficult to assess.13 Importantly, the scale we describe is accompanied by photographic examples of spirals of each rating, providing a visual template for guidance, and, as we show in this report, the use of the visual template improves upon reliability. We hope this tool will be of use to researchers who are attempting to rapidly assess tremor in their field surveys and populations.

Methods

Study setting

This study was conducted as part of a population-based epidemiological study, the Prevalence Study of Alzheimer's Disease and Mild Cognitive Impairment in Shanghai, China, which began in October 2009. The study, which sampled 5,000 individuals aged 60 and older in an urban community, focuses on cognitive impairment and dementia, although several other neurological disorders, including ET, will be assessed. At the time of enrollment, written informed consent was obtained from all participants and/or their legally acceptable representative. The study was approved by the ethics committee of Huashan Hospital, Fudan University, Shanghai.

Spiral drawings

Enrolled participants were asked to draw an Archimedes spiral with each hand. Spirals were drawn on a standard 8.5 × 11 inch sheet of paper using a pen while the participant was seated at a table. The paper was centered at right angles directly in front of them and held down by their other hand. The drawing hand was not allowed to rest or be supported when the spiral was being drawn. Participants started at the center of the page, without lifting their pen.14

Spiral rating: In-person training session

Two investigators (a neurologist, Q.Z., and a neuroepidemiologist, D.D.) underwent a 2-hour, in-person training session in New York with a senior movement disorder neurologist with expertise in tremor evaluation (E.D.L.). During the training session, the three individuals co-reviewed 300 hand-drawn spirals using the rating scale described below. The 300 spirals ranged in severity from normal (no tremor) to marked tremor.

Spiral rating: Initial independent ratings

Two months later, the three investigators, blinded to clinical information, independently rated spirals that were available from the first 548 enrollees. The rating scale was as follows: 0  =  Absolutely no oscillations anywhere. 0.5  =  Subtle, low-amplitude oscillations are present in a few spots. Oscillations are not consistently present throughout the spiral. 1.0  =  Low-amplitude oscillations are present in multiple places. Examining at least one of the spiral's quadrants reveals the presence of these low-amplitude oscillations that occur in each larger and larger line of the spiral within that quadrant. 1.5  =  Low-amplitude oscillations are present in multiple places and oscillations can at times reach moderate amplitude. 2  =  Moderate-amplitude oscillations that are present in many areas of the spiral. 3  =  Oscillations reach large amplitude in one or more places. Lines may overlap. Pen may lift off the paper. On each spiral, the raters were careful to distinguish clear, regular oscillations from sloppiness, spatial errors, and other irregularities or movement disfluencies that were not strictly oscillatory.

Spiral rating: Second independent ratings using visual templates

To further improve on the inter-rater reliability, the senior movement disorder neurologist carefully assembled visual examples of spirals that he had rated, including two examples each of the spirals rated as 0.5, 1.0, 1.5, 2, and 3 (Figures 1–5). These spirals were electronically scanned to produce a visual template to be used as a reference guide during the rating process. The investigative team in China was asked to assemble 200 spirals with a range of scores (0–3) so that they could be independently rated by the movement disorder neurologist, the two previous investigators on the Chinese team, and a new investigator (a second neurologist) on the Chinese team (H.M.). The new investigator did not have the benefit of the initial in-person training session in New York or experience with the prior 548 rated spirals. These 200 spirals were independently rated by the four investigators.
Figure 1.

(A, B) Two Spirals that Received Ratings of 0.5.

Figure 2.

(A, B) Two Spirals that Received Ratings of 1.0.

Figure 3.

(A, B) Two Spirals that Received Ratings of 1.5.

Figure 4.

(A, B) Two Spirals that Received Ratings of 2.

Figure 5.

(A, B) Two Spirals that Received Ratings of 3.

Statistical analyses

Statistical analyses were performed using SPSS (Version 18.0). Agreement between raters in the initial set of 548 spirals and in the subsequent set of 200 spirals was assessed using Spearman's correlation coefficient (r) and intraclass correlation coefficients (ICCs). For ICCs, absolute agreement was assessed rather than consistency.

Results

In the initial set of 548 spirals, the US neurologist assigned the following ratings: 0 (n  =  5), 0.5 (n  =  280), 1 (n  =  208), 1.5 (n  =  35), 2 (n  =  17) and 3 (n  =  3). The agreement between raters ranged from r  =  0.49 (p<0.001) to r  =  0.62 (p<0.001), indicating good agreement (Table 1). ICC values tended to be slightly higher than r values (Table 1).
Table 1.

Inter-rater Agreement in Ratings of Tremor in the First Set of 548 Spirals

US RaterNeurologist 1 (China)Neuroepidemiologist (China)
US Raterr  =  0.56, p<0.001r  =  0.49, p<0.001
ICC  =  0.68, p<0.001ICC  =  0.49, p<0.001
Neurologist 1 (China)r  =  0.62, p<0.001
ICC  =  0.67, p<0.001
Neuroepidemiologist (China)

Abbreviations: ICC, intraclass correlation coefficient; r, Spearman's correlation coefficient.

Abbreviations: ICC, intraclass correlation coefficient; r, Spearman's correlation coefficient. In the subsequent set of 200 spirals, the US neurologist assigned the following ratings: 0 (n  =  4), 0.5 (n  =  20), 1 (n  =  84), 1.5 (n  =  48), 2 (n  =  38) and 3 (n  =  6). The agreement between raters ranged from r  =  0.67 (p <0.001) to r  =  0.91 (p<0.001), indicating good agreement (Table 2). ICC values tended to be slightly higher than r values (Table 2). The agreement between the raters improved when compared with the initial agreement (548 spirals). Thus, for the agreement between the US neurologist and the Chinese neurologist 1, the r value increased from 0.56 to 0.74; for the agreement between the US neurologist and the Chinese neuroepidemiologist, the r value increased from 0.49 to 0.73; and for the agreement between the Chinese neurologist 1 and the Chinese neuroepidemiologist, the r value increased from 0.62 to 0.91 (Tables 1 and 2). Chinese neurologist 2, who had received no in-person training and who only used the visual templates, had high agreement with the other raters (r  =  0.67 with the US neurologist; r  =  0.78 with Chinese neurologist 1; and r  =  0.87 with the Chinese neuroepidemiologist).
Table 2.

Inter-rater Agreement in Ratings of Tremor in Second Set of 200 Spirals

US RaterNeurologist 1 (China)Neurologist 2 (China)Neuroepidemiologist (China)
US raterr  =  0.74, p<0.001r  =  0.67, p<0.001r  =  0.73, p<0.001
ICC  =  0.79, p<0.001ICC  =  0.70, p<0.001ICC  =  0.77, p<0.001
Neurologist 1 (China)r  =  0.78, p<0.001r  =  0.91, p<0.001
ICC  =  0.81, p<0.001ICC  =  0.92, p<0.001
Neurologist 2 (China)r  =  0.87, p<0.001
ICC  =  0.89, p<0.001
Neuroepidemiologist (China)

Abbreviations: ICC, intraclass correlation coefficient; r, Spearman's correlation coefficient.

Abbreviations: ICC, intraclass correlation coefficient; r, Spearman's correlation coefficient. We assessed whether the agreement between raters differed with respect to the rating of spirals that were drawn with the right or left hand. Agreement was slightly higher for the left hand; for example, for the agreement between the US neurologist and Chinese neurologist 1, r (right)  =  0.70 and r (left)  =  0.78; for the agreement between the US neurologist and Chinese neurologist 2, r (right)  =  0.60 and r (left)  =  0.78; and between the two Chinese neurologists, r (right)  =  0.74 and r (left)  =  0.87. We also stratified ratings into low (i.e., the US neurologist assigned ratings of 0 or 0.5) vs. high (the US neurologist assigned ratings of 2 or 3) to see whether the severity of tremor affected the level of agreement. We did not find that agreement differed across these two strata.

Discussion

Movement disorder neurologists cannot practicably be sent into the field to personally examine thousands of study subjects nor is it practicable to videotape thousands of neurological examinations in the field for later viewing. Hence, a screening procedure is necessary. The problem is that screening questionnaires for ET lack sensitivity, particularly for mild tremor.15 As an alternative, handwriting samples allow for the rapid collection of objective rather than self-reported data. Furthermore, for other types of tremor (e.g., toxin-induced tremors) the value of screening questionnaires is not known; empiric data on the presence and severity of tremor are of greater value. We are aware of one other example of a rating scale for action tremor that provides visual examples; however, a problem with that scale is that ratings are from 0 to 10, and this large number of scale steps has the potential to produce discrepancies in rater agreement.16 In the current study, we demonstrated that the semi-quantitative rating scale we use is reliable. Indeed, the second Chinese neurologist, who had had no in-person training and who only used the visual templates, demonstrated a high agreement with the other raters (r  =  0.67 with the US neurologist; r  =  0.78 with Chinese neurologist 1; and r  =  0.87 with the Chinese neuroepidemiologist). The photographic examples of spirals of each rating provide an easy to use visual template for guidance, and this improves reliability. This visual template-based method can be used in a variety of field settings. For example, it is often important to decide in the field whether to incorporate a more detailed assessment after an initial screening evaluation, and that decision needs to be made on the spot. Thus a screening spiral that receives a rating above a certain predetermined threshold (e.g., 1.5) might be an entrée to a second and more detailed diagnostic neurological examination on the same day of testing. The other important issue is that the use of these templates will ensure that field workers have calibrated their ratings against the visual examples of scores assigned by a senior movement disorder specialist with expertise in tremor. The initial screen is critical; if inaccurate, cases will either be under-ascertained or alternatively too many cases will be referred for a second, more-detailed evaluation, placing an undue burden on study resources. We recognize that this study had limitations. First, it is important to recognize that these spirals assess action tremor but they do not allow one to definitively distinguish parkinsonian or dystonic action tremor from ET. This being said, the presence of micrographia or the absence of a consistent spiral axis17 would argue in favor of parkinsonism and dystonia. Also, if handwriting is not affected by tremor, then this spirography method will under-ascertain tremor cases. As the focus of this paper was on inter-rater agreement, we did not present data using Cronbach's alpha, which is a measure of the internal consistency of data. The current analyses used pen and paper to capture spiral data. Whether similar field data could be captured on a computer or a digitizing tablet and then rated reliably remains to be determined. It is our hope that the tool we describe here will be of use to researchers who are attempting to rapidly screen for tremor in their field surveys and population-based studies, and will pave the way for population-based studies of tremor that utilize an objective but not burdensome initial screening process.
  16 in total

1.  Betel quid: Its tremor-producing effects in residents of Araihazar, Bangladesh.

Authors:  Danella Hafeman; Habibul Ahsan; Tariqul Islam; Elan Louis
Journal:  Mov Disord       Date:  2006-04       Impact factor: 10.338

2.  Neuromotor function in a cohort of Danish steel workers.

Authors:  Morten Blond; Bo Netterstrom
Journal:  Neurotoxicology       Date:  2006-08-02       Impact factor: 4.294

3.  Quantification of tremor with a digitizing tablet.

Authors:  R J Elble; R Sinha; C Higgins
Journal:  J Neurosci Methods       Date:  1990-06       Impact factor: 2.390

4.  Quantitative assessment of neuromotor function in workers with current low exposure to mercury vapor.

Authors:  Gunilla Wastensson; Daniel Lamoureux; Gerd Sällsten; Anne Beuter; Lars Barregård
Journal:  Neurotoxicology       Date:  2008-03-20       Impact factor: 4.294

5.  Clinical characteristics of essential tremor: data from a community-based study.

Authors:  E D Louis; B Ford; K J Wendt; G Cameron
Journal:  Mov Disord       Date:  1998-09       Impact factor: 10.338

6.  Does a screening questionnaire for essential tremor agree with the physician's examination?

Authors:  E D Louis; B Ford; H Lee; H Andrews
Journal:  Neurology       Date:  1998-05       Impact factor: 9.910

7.  A comparison of different bedside tests for essential tremor.

Authors:  E D Louis; B Ford; K J Wendt; H Lee; H Andrews
Journal:  Mov Disord       Date:  1999-05       Impact factor: 10.338

8.  Incidence of essential tremor in three elderly populations of central Spain.

Authors:  Julián Benito-León; Félix Bermejo-Pareja; Elan D Louis
Journal:  Neurology       Date:  2005-05-24       Impact factor: 9.910

9.  Population-based prospective study of cigarette smoking and risk of incident essential tremor.

Authors:  Elan D Louis; Julián Benito-León; Félix Bermejo-Pareja
Journal:  Neurology       Date:  2008-05-06       Impact factor: 9.910

10.  Health assessment of artisanal gold miners in Tanzania.

Authors:  Stephan Bose-O'Reilly; Gustav Drasch; Christian Beinhoff; Aloyce Tesha; Katalin Drasch; Gabriele Roider; Helen Taylor; Don Appleton; Uwe Siebert
Journal:  Sci Total Environ       Date:  2009-11-28       Impact factor: 7.963

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  19 in total

1.  Utility of the hand-drawn spiral as a tool in clinical-epidemiological research on essential tremor: data from four essential tremor cohorts.

Authors:  Elan D Louis
Journal:  Neuroepidemiology       Date:  2015-02-17       Impact factor: 3.282

2.  Caffeine Consumption in First-Degree Relatives of Essential Tremor Cases: Evidence of Dietary Modification Before Disease Onset.

Authors:  Elan D Louis; James H Meyers; Ashley D Cristal; Pam Factor-Litvak
Journal:  Neuroepidemiology       Date:  2018-06-28       Impact factor: 3.282

3.  More unaffected first-degree relatives of essential tremor cases have mild cognitive deficits than age-matched controls.

Authors:  James H Meyers; Ruby Hickman; Ashley D Cristal; Pam Factor-Litvak; Stephanie Cosentino; Elan D Louis
Journal:  Parkinsonism Relat Disord       Date:  2018-10-31       Impact factor: 4.891

4.  Prevalence of Essential Tremor in the Faroe Islands: A Population-Based Study.

Authors:  Eina H Eliasen; Monica Ferrer; Shahin Gaini; Elan D Louis; Maria Skaalum Petersen
Journal:  Neuroepidemiology       Date:  2019-03-19       Impact factor: 3.282

5.  Tremor in a population-based cohort of children in New York City.

Authors:  Elan D Louis; Wanda E Garcia; Virginia A Rauh
Journal:  Pediatr Neurol       Date:  2014-10-22       Impact factor: 3.372

6.  Prenatal exposure to the organophosphate pesticide chlorpyrifos and childhood tremor.

Authors:  Virginia A Rauh; Wanda E Garcia; Robin M Whyatt; Megan K Horton; Dana B Barr; Elan D Louis
Journal:  Neurotoxicology       Date:  2015-09-15       Impact factor: 4.294

7.  Unaffected first-degree relatives of essential tremor cases have more imbalance than age-matched control subjects.

Authors:  Elan D Louis; James H Meyers; Ashley D Cristal; Ruby Hickman; Pam Factor-Litvak
Journal:  Parkinsonism Relat Disord       Date:  2018-03-13       Impact factor: 4.891

8.  Essential tremor 10, 20, 30, 40: clinical snapshots of the disease by decade of duration.

Authors:  E D Louis; M Gerbin; M Galecki
Journal:  Eur J Neurol       Date:  2013-03-21       Impact factor: 6.089

9.  When do essential tremor patients develop head tremor? Influences of age and duration and evidence of a biological clock.

Authors:  Elan D Louis
Journal:  Neuroepidemiology       Date:  2013-07-11       Impact factor: 3.282

10.  The primary type of tremor in essential tremor is kinetic rather than postural: cross-sectional observation of tremor phenomenology in 369 cases.

Authors:  E D Louis
Journal:  Eur J Neurol       Date:  2012-08-27       Impact factor: 6.089

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