Reliability of the standard goniometry and diagrammatic recording of finger joint angles: a comparative study with healthy subjects and non-professional raters
© Macionis; licensee BioMed Central Ltd. 2013
Received: 23 May 2012
Accepted: 28 December 2012
Published: 9 January 2013
Diagrammatic recording of finger joint angles by using two criss-crossed paper strips can be a quick substitute to the standard goniometry. As a preliminary step toward clinical validation of the diagrammatic technique, the current study employed healthy subjects and non-professional raters to explore whether reliability estimates of the diagrammatic goniometry are comparable with those of the standard procedure.
The study included two procedurally different parts, which were replicated by assigning 24 medical students to act interchangeably as 12 subjects and 12 raters. A larger component of the study was designed to compare goniometers side-by-side in measurement of finger joint angles varying from subject to subject. In the rest of the study, the instruments were compared by parallel evaluations of joint angles similar for all subjects in a situation of simulated change of joint range of motion over time. The subjects used special guides to position the joints of their left ring finger at varying angles of flexion and extension. The obtained diagrams of joint angles were converted to numerical values by computerized measurements. The statistical approaches included calculation of appropriate intraclass correlation coefficients, standard errors of measurements, proportions of measurement differences of 5 or less degrees, and significant differences between paired observations.
Reliability estimates were similar for both goniometers. Intra-rater and inter-rater intraclass correlation coefficients ranged from 0.69 to 0.93. The corresponding standard errors of measurements ranged from 2.4 to 4.9 degrees. Repeated measurements of a considerable number of raters fell within clinically non-meaningful 5 degrees of each other in proportions comparable with a criterion value of 0.95. Data collected with both instruments could be similarly interpreted in a simulated situation of change of joint range of motion over time.
The paper goniometer and the standard goniometer can be used interchangeably by non-professional raters for evaluation of normal finger joints. The obtained results warrant further research to assess clinical performance of the paper strip technique.
Graphical presentation of finger range of motion by means of malleable wire tracing is a recognized adjunct to the standard goniometry . This method, however, has been shown to be of inadequate reliability . The range of motion of the finger joints can also be diagrammatically visualized by tracing the arms of an ad hoc goniometer obtained by criss-crossing two folded paper strips . This simple tool can be a quick substitute to the standard goniometer in clinical situations when the latter is unavailable and allows evaluation of finger joint positions, where application of the standard goniometer is impossible (Additional file 1). It has been suggested that the performance of the diagrammatic goniometry should be comparable with that of the standard procedure because both methods are technically similar. As an initial step to test this supposition, the current investigation determined measurement reliability [4, 5] for the paper and standard goniometer in non-clinical imitated situations when there was no change in finger range of motion and when the range of motion changed over time.
Rationale of the study design
Search for a possible research model revealed 28 reliability studies involving standard finger goniometry [2, 6–37]. A larger part of the studies was carried out on subjects with normal hands [2, 6–10, 14–16, 23, 26, 29–31, 33, 35, 36]. Taking into account the novelty of the diagrammatic technique and difficulties in carrying out a comparative reliability study of a considerable extent on patients, the current exploration opted for healthy subjects as well. The present investigation chose static finger position model, since in healthy subjects, only a few finger joint postures can be obtained by using standard types of motion [9, 12, 14, 33, 36]. Previous researchers ensured stability of the desired finger positions by employing various palmar blocks [7, 10, 16, 29, 30, 35] and splints [2, 15, 23, 26]. Due to skin mobility and suppleness, however, it seems difficult to achieve steadiness of the joint angle with palmar supports alone. The use of hand cast , transarticular pinning of the cadaver finger joints in various degrees of flexion , and wooden finger joints  is arguably too artificial. Only one study used change of finger motion due to a treatment to test inter-goniometer reliability . However, none of the static models have been employed for this purpose. The current study designed a stabilization system for fingers taking into account the experience and limitations of the previous explorations. Earlier method comparisons, as a rule, involved professional raters who must have been more experienced with one of the techniques under evaluation. Therefore, and considering the extent of the objectives of the present investigation, this study chose to include non-professional evaluators with a similar medical background.
The study was approved by Vilnius regional ethics committee for biomedical research. Written informed consents of the participants were obtained before the study.
Participants and study design
Twenty-four healthy, third- and fourth-year medical students were included in the study in the order of their response to an advertisement inviting to participate in a goniometric reliability study for reimbursement. The key criterion in selecting the participants was similarity of their academic and practical background. None of the participants had considerable experience in goniometry; however, all of them were familiar with the concept of goniometry through their earlier study. The age of the participants ranged from 20 to 24 years. Additionally, 2 fourth-year medical students were invited to participate in a separate reliability study of computerized evaluation of joint angle diagrams.
A pilot exploration employing a healthy subject and 17 raters was performed to elucidate possible technical problems of the study.
Two weeks before the study, the participants were sent step-by-step instructions with the appropriate images of the procedure and the equipment. At least a week before the study, the equipment and procedures were demonstrated to the participants live. Example try-angles, triangle rulers, and paper strips were distributed for individual training at home. Taking into account the unusual manipulative task of the diagrammatic goniometry, the participants learned to copy printed angles by using the paper goniometer individually or as participants of another study. Two days before the study, the participants were required to answer a short quiz testing the knowledge of their tasks in the study.
Procedures on the day of study
The study was conducted in a spacious auditorium. The raters and subjects faced each other across a long narrow table and sat along the table sides in checkmate pattern. The raters’ locations were permanent, while the subjects, having completed an evaluation session, moved along the table sides clockwise bypassing the neighboring raters to be evaluated by the next rater across the table (Figure 1).
The subjects’ task in all study parts was to stabilize their left ring finger joints in postures set up by grasping a funnel or a triangle ruler and by applying appropriate try-angles over the dorsal aspect of the joint (Figure 2a).
In the replicate study parts A, the subjects used their individual try-angle sets at the 10 evaluation stations (Figure 1, Additional file 2). The values of the angles of individual try-angles were randomly distributed across the finger joints and across the subjects. The angles of the individual try-angles of the same subject were of different magnitude, and none of the subjects had the same combination of the angle magnitudes (Additional file 3). Raters of the study parts A had to obtain twice the MCP, PIP, and DIP joint angles in each of the two positions (flexion and extension) by using both goniometers (Additional file 2) .
In the replicate study parts B, the subjects employed the shared try-angle sets permanently available at the appropriate 2 evaluation stations (Figure 1, Additional file 2). Both shared sets were almost identical in the magnitude of the standard angles; however, the order of the try-angles in the sets was different (Additional file 3). The task of the two raters of the study parts B included only evaluation of the PIP joint in the 6 sub-positions of each of the two positions with both instruments in a single trial (Additional file 2).
When evaluating the joints, the raters were required to do their best to align the instrument arms as close as possible to the position of the anatomical axes of the appropriate bones. Dorsal method of placement was used for both instruments. After aligning the arms of the standard goniometer, the rater removed the cover from the pointer and read the value together with the subject to exclude reading errors; the obtained value was entered into the blank. The angles, obtained by proper alignment of the paper strips, were drawn onto the appropriate sections of the blanks by using edges of the paper strips as rulers. If the arms of the standard goniometer or paper strips were inadvertently displaced during the evaluation, the measurement was repeated.
The procedure protocol also included relaxation of the subject’s hand between the measurements and short breaks between the evaluation sessions. As the length of the evaluation sessions differed from rater to rater, the intervals between sessions also varied. The participants were free to choose longer brakes if they felt tired.
Evaluation of diagrams
All the blanks with the recorded angles of the joints were scanned. The scanned diagrams were magnified, and their angles were measured to the nearest degree by the same researcher with ImageJ program. Each diagram was measured at least twice without reference to the previous results. If the results of the two computerized measurements were different, the diagram was remeasured again. If 2 identical measurements were not obtained, mean of the measurements was found and rounded off to the nearest degree. To assess intra-rater and inter-rater reliability of the latter procedure, two invited medical students remeasured 48 randomly chosen scanned diagrams. Computerized evaluation instead of a simple use of a traditional protractor was chosen to equalize varying sizes of the hand drawn diagrams and to avoid errors of hand-done measurements.
Independence of observations
Although dependency of observations is inherent to within-subject designs, care was taken to ensure the required rater related independence of measurements [5, 38]. To prevent any form of communication of the obtained angles, the current study design included checkmate arrangement of the subject and rater pairs, alternating use of the instruments, proceeding to trial 2 only after completing trial 1 for all joints and both instruments, irregular arrangement of the standard angle magnitudes, and masking the pointer of the standard goniometer. Also, the participants were not allowed to share the results of their measurements and were made aware that the standard angles varied widely across the subjects and joints.
Measures of reliability
Measurement reliability has been expressed in relative and absolute measures [39, 40]. In the current study, the reliability term was used as a hypernym for expressions defining various aspects of measurement uncertainty [39, 40], although some authors have used agreement term for this purpose  or have understood reliability in a narrower sense [4, 5, 41].
For continuous variables, the most common measure of relative reliability is intraclass correlation coefficient (ICC) accompanied by appropriate analysis of variance (ANOVA) . Differently from the previous studies, which used the popular models of ICCs described by Shrout and Fleiss , the current investigation employed concurrent assessment of reliability proposed by Eliasziw et al. . Unlike calculating the traditional ICCs, the method of concurrent assessment allows simultaneous estimation of intra-rater and inter-rater reliability along with the hypothesis testing in cases when multiple raters evaluate multiple subjects and perform more than one measurement per subject. In respect to the traditional models, the concurrent methodology has been cited as a more advantageous approach .
For the clinician, however, reliability coefficients are less important than measures of absolute reliability like the standard error of measurement (SEM), which (when multiplied by 1.96) indicates how far from the hypothetical true value [38, 39, 45] the measurement obtained by a practitioner could be . The SEM enables derivation of other measures of absolute reliability including the limits of agreement  and the minimal detectable change (MDC). The MDC defines the difference that should be obtained between 2 successive measurements on the same subject over time to state that the real change has occurred. In this study the MDC, also referred to as minimal detectable difference  or repeatability coefficient [45, 47], was found by using formula MDC = SEM x 1.96 x √2 [4, 40, 45].
Additionally, following a previous suggestion , the current study employed intuitive descriptive approaches. To facilitate interpretation of goniometric reliability, proportions of clinically non-meaningful ≤5-degree differences between repeated measurements (here also named “≤ 5-degree agreement”) were analysed . Also, in the smaller B component of this study, mean measurement differences and their standard deviations were employed to reflect absolute reliability [38, 46].
Sample size estimation
The main attention in this investigation was directed towards calculating intra-rater and inter-rater ICCs and SEMs in the study parts A. The other components of the study were designed as pilot investigations. Balanced numbers of subjects and raters were planned to ensure synchrony of the evaluation sessions. Ten raters were expected to perform 2 repeated measurements (trial 1, trial 2) of the same joint in the same position with the same instrument, which summed up to 20 observations per subject. The ICCs were expected to reach 0.9. However, taking into account the conventionally acceptable lowest ICC values , reliabilities of 0.7-0.75 could also be considered as adequate for non-professional raters. Using an earlier proposed formula  with the above values and the recommended levels of α=0.05 and β=0.2 resulted in sample sizes between 8 and 12 (Additional file 4).
Each of the replicate study stages was analyzed separately. The significance level was set at p < 0.05.
Exploratory data analysis
Exploratory data analysis included obtaining descriptive statistics, searching for outliers, and assessing the normality of distribution of the appropriate data sets by means of Shapiro-Wilk tests and the analysis of histograms and Q-Q plots.
Analysis of the study parts A
In the replicate study parts A, 2x2x10 (trial x goniometer x rater) and 2x10 (goniometer x rater) repeated measures ANOVAs were run for each position-joint and trial-position–joint data set, respectively, to assess the main effects and interactions of goniometer, trial, and rater. The sphericity assumption was tested by using Mauchly’s test with appropriate epsilon adjustments.
For concurrent assessment of reliability, the pertinent mean squares were found by running two-factorial univariate ANOVAs . Subject and rater were random effects because the participants were selected randomly and there was no interest in particular raters. Homogeneity of variances was tested with Leven’s test. The necessary variance components were calculated using the obtained mean squares. The intra-rater and inter-rater ICCs, their lower limits of 95% one-sided lower-limit confidence intervals (LLs of 95% one-sided L-L CI), and SEMs were simultaneously calculated across all raters for each goniometer-position-joint data set. Following the methodology for concurrent assessment of reliability  and previous suggestions regarding meaningful ICC values , the null hypothesis was that the ICCs were less than or equal to 0.75, and the alternative hypothesis was that the ICCs would be more than 0.75. The null hypothesis was considered rejected, if the LLs of 95% one-sided L-L CI for the ICCs were less than or equal to 0.75. Computation algorithms for concurrent assessment of reliability are presented in the Additional file 5.
For further reflection of intra-goniometer (i.e., intra-rater ) reliability, proportions of clinically non-meaningful ≤ 5-degree differences between the measurements obtained with the same tool in the 2 trials were calculated for each rater. Similarly, for the assessment of inter-goniometer reliability, proportions of ≤ 5-degree differences between measurements of the same rater with different instruments within the same trial were found. The observed proportions of the ≤ 5-degree differences were tested against proportion of 0.95 for statistical significance by one sample binomial tests. The reference value was estimated by calculating the LL of 99% CI for population proportion  using the largest previously employed sample sizes reaching 60  and a generous assumption that the earlier sample proportion of ≤5-degree measurement differences was 0.99. Counts of the raters who passed the binomial tests were obtained for intuitive comparison. To assess the inter-goniometer ≤ 5-degree agreement, only the raters who passed the binomial test in both trials were included. Additionally, the best raters were selected by matching the individual successful raters across the three ≤ 5-degree agreement subgroups (i.e., across the inter-goniometer and the two intra-goniometer subgroups).
Analysis of the study parts B
To find whether the try-angle guides significantly changed the observed angles of the PIP joint, multiple Wilcoxon signed-rank tests with Bonferroni correction were performed for each rater-instrument-position-subposition data set in respect to the baseline joint angles obtained by using the smallest standard angles. Then the standard differences between the angles of the appropriate try-angles (i.e., between the standard angles) were calculated in respect of the smallest standard angles. Next, the lowest significant standard differences were found between the smallest standard angles and the angles of the try-angles, application of which produced significant changes in the observed PIP joint angles (Additional file 6). The lowest significant standard differences were compared with each other and with the corresponding values of the MDC derived from the SEMs of the study parts A.
Analysis of reliability of the diagram evaluation
Intra-rater (inter-trial) and inter-rater (intra-trial) reliability of the computerized measurements of diagrams was assessed by calculating mean differences between the appropriate pairs of measurements and their standard deviations.
Results of exploratory data analysis
Results of the study parts A
The repeated measures 2x2x10 ANOVAs revealed that the main effect of goniometer was insignificant. The main effect of trial was significant for the MCP joint in imitated extension in study part I-A and in all study part II-A subgroups. The main effect of rater was significant for the MCP joint in study part I-A and in all study part II-A subgroups. Trial by rater interaction effect was observed in all the subgroups except for that of the DIP joint in position of imitated flexion. Goniometer by trial interaction was observed only in the DIP joint extension subgroup of the study part II-A. The 2x10 ANOVAs showed that goniometer and rater effects were insignificant in approximately half of the trial-position-joint data sets. Most of the two-way ANOVAs resulted in significant goniometer by rater interaction. Insignificance of all effects was observed only in the study part I-A, for the first trial measurements of the DIP joint and for the second trial measurements of the PIP joint in flexion.
Reliability estimates obtained in the study parts A
Position, Study part, Characteristics, Goniometer
ICC (LL of 95 % one-sided L-L CI)
SEM in degrees
EXT, I-A, Intra-R, PGn
II-A, Intra-R, PGn
I-A, Inter-R, PGn
II-A, Inter-R, PGn
FLEX. I-A, Intra-R, PGn
II-A, Intra-R, PGn
I-A, Inter-R, PGn
II-A, Inter-R, PGn
The results of the study part II-A tended to be slightly worse than those of the study part I-A.
Results of the study parts B
Comparison of the minimal detectable changes with the lowest standard significant differences *
Lowest significant standard difference (in degrees)
Rater 1 (I-B)
Rater 2 (I-B)
Rater 3 (II-B)
Rater 4 (II-Bcpa)
Reliability of the diagram evaluation
The mean intra-rater (inter-trial) and inter-rater (intra-trial) differences of the computerized measurements of the joint angle diagrams ranged from - 0.1 to 0.21 degrees. The mean absolute differences did not exceed 0.4 degrees. The standard deviations of the mean differences were below 0.7 degrees. All measurement differences were within 1 degree except for one occasion for each of the invited raters, where their trial-to-trial measurements disagreed by 2 degrees.
In the current study, reliability of diagrammatic and standard finger goniometry was assessed by employing a repeated measures design with replication, in which non-professional participants acted as raters and subjects. The diagrams of the joint angles were converted to numerical values by computerized angle measurements. The measurement errors due to the conversion were below 0.7 degrees, which is not substantial in terms of the clinically acceptable 5-degree error.
The results of all the analytical approaches support the suggestion that both goniometers can be used interchangeably. Significance of goniometer effect apparent from some of the 2x10 ANOVAs should be interpreted in conjunction with significant goniometer by rater interaction, indicating that the performance of the instrument tended to be depended on which the rater was using it. The small magnitudes of the differences between the reliability estimates of the techniques were not convincing enough to state disparity of the methods. In the three cases of failure to reject the null hypothesis for paper goniometer alone, the LLs of 95% one-sided L-L CIs levels above 0.7 can still be considered as an acceptable level of reliability for non-professional novice raters. Interchangeability of goniometers was also demonstrated by the binomial tests, which involved assessment of the inter-goniometer ≤ 5-degree agreement. It is notable, that the results of the proportion analysis echo the outcomes of parametric assessments indicating that the measurement consistency was rater and joint dependent. Parity of the goniometers was further shown by the results of the study parts B, indicating that data collected with both instruments can be similarly interpreted in an exploration of simulated change in joint range of motion over time. Decrease in the reliability estimates in the second stage of the study part A may be due to the weariness of the participants.
Straightforward comparison of the obtained results with those of the other explorations is complicated, as reliability studies differ in technical and statistical aspects . Some methodological issues of the earlier studies of finger goniometry were addressed in the rationale of the study design. A more detailed reflection of the design diversity and results of the previous explorations is given in Additional file 9. Most of the intra-rater and inter-rater ICCs obtained in the current study were above 0.8, which indicates reliability  comparable with the previously reported values [6, 10, 11, 17–20, 25, 27, 29, 33, 37]. Most of the SEMs obtained in the current study are also in comparison with the corresponding estimates reported by the earlier researchers [9, 29, 33, 37]. The SEM exceeding 1.8 degrees, however, indicates that the repeatability coefficient (or MDC) is above the conventional 5-degree limit. The other finger goniometric studies [2, 13, 15, 19, 23, 26] have also observed intra-rater or inter-rater repeatability of more than 5 degrees.
The finding of this study that the measurements of the distal interphalangeal joint are relatively less consistent corresponds to the results of the earlier research [2, 26, 33, 37]. This phenomenon may be associated with the stabilization difficulty of the less powered interphalangeal joints and limited phalangeal length available for the alignment of the arms of goniometers. The results of the current study also corroborate the observations of the other researchers that intra-rater reliability is better than inter-rater reliability [2, 6, 7, 23, 25, 26, 28, 33].
The limitations of this exploration include too small sample size for the concurrent assessment of inter-goniometer reliability. This shortcoming was partly compensated by the proportion analysis of the inter-goniometer ≤ 5-degree differences. Performing the procedures in open stations may be regarded as a violation of independence of measurements, which, however, is unlikely to be substantial considering the study design features listed in the related section above.
It can be concluded that that the paper goniometer and the standard goniometer can be used interchangeably by non-professional raters for the evaluation of normal finger joints. The obtained results warrant further research to assess clinical performance of the paper strip technique.
Intraclass correlation coefficient
Standard error of measurement
Minimal detectable change
Analysis of variance
Paper strip goniometer
Standard finger goniometer
Number of measurements across all raters and subjects
Position of imitated incomplete extension
Position of imitated incomplete flexion
The author sincerely thanks Dr. Rūta Levulienė, Associate Professor of the Faculty of Mathematics and Informatics of Vilnius University, for checking the soundness of the statistical analysis of this study and Danguolė Straižytė, Lecturer at the Institute of Foreign Languages of Vilnius University, for proofreading the manuscript. The author is also grateful to all participants of the study.
- Robins RH: Hand assessment charts. J Hand Surg Br. 1986, 11: 287-298. 10.1016/0266-7681(86)90287-1.View ArticlePubMedGoogle Scholar
- Ellis B, Bruton A, Goddard JR: Joint angle measurement: a comparative study of the reliability of goniometry and wire tracing for the hand. Clin Rehabil. 1997, 11: 314-320. 10.1177/026921559701100408.View ArticlePubMedGoogle Scholar
- Macionis V: A technique for graphical recording of range of motion using an improvised paper goniometer. J Hand Ther. 2011, 24: 374-377. 10.1016/j.jht.2011.05.003.View ArticlePubMedGoogle Scholar
- De Vet HC, Terwee CB, Knol DL, Bouter LM: When to use agreement versus reliability measures. J Clin Epidemiol. 2006, 59: 1033-1039. 10.1016/j.jclinepi.2005.10.015.View ArticlePubMedGoogle Scholar
- Kottner J, Audigé L, Brorson S, Donner A, Gajewski BJ, Hróbjartsson A, Roberts C, Shoukri M, Streiner DL: Guidelines for Reporting Reliability and Agreement Studies (GRRAS) were proposed. J Clin Epidemiol. 2011, 64: 96-106. 10.1016/j.jclinepi.2010.03.002.View ArticlePubMedGoogle Scholar
- Hamilton GF, Lachenbruch PA: Reliability of goniometers in assessing finger joint angle. Phys Ther. 1969, 49: 465-469.PubMedGoogle Scholar
- Giudice ML: Effects of continuous passive motion and elevation on hand oedema. Am J Occup Ther. 1990, 44: 914-921. 10.5014/ajot.44.10.914.View ArticlePubMedGoogle Scholar
- Breger-Lee D, Voelker ET, Giurintano D, Novick A, Browder L: Reliability of torque range of motion: a preliminary study. J Hand Ther. 1993, 6: 29-34. 10.1016/S0894-1130(12)80178-5.View ArticlePubMedGoogle Scholar
- Dijkstra PU, de Bont LG, van der Weele LT, Boering G: Joint mobility measurements: reliability of a standardized method. Cranio. 1994, 12: 52-57.View ArticlePubMedGoogle Scholar
- Weiss PL, August S, Peters G, Sampalis J: Using the Exos Handmaster to measure digital range of motion: reliability and validity. Med Eng Phys. 1994, 16: 323-328. 10.1016/1350-4533(94)90059-0.View ArticlePubMedGoogle Scholar
- Flowers KR, LaStayo P: Effect of total end range time on improving passive range of motion. J Hand Ther. 1994, 7: 150-157. 10.1016/S0894-1130(12)80056-1.View ArticlePubMedGoogle Scholar
- Chiu HY: A method of two-dimensional measurement for evaluating finger motion impairment. A description of the method and comparison with angular measurement. J Hand Surg Br. 1995, 20: 691-695. 10.1016/S0266-7681(05)80138-X.View ArticlePubMedGoogle Scholar
- Goldsmith N, Juzl E: Inter-rater reliability of two trained raters using a goniometer for the measurement of finger joints. Br J Hand Ther. 1998, 3: 11-12. cited by Burr et al. Google Scholar
- Chiu HY, Su FC, Wang ST, Hsu HY: The motion analysis system and goniometry of the finger joints. J Hand Surg Br. 1998, 23: 788-791. 10.1016/S0266-7681(98)80098-3.View ArticlePubMedGoogle Scholar
- Bruton A, Ellis B, Goddard J: Comparison of visual estimation and goniometry for assessment of metacarpophalangeal joint angle. Physiotherapy. 1999, 85: 2011-2018.Google Scholar
- Williams NW, Penrose JM, Caddy CM, Barnes E, Hose DR, Harley P: A goniometric glove for clinical hand assessment. Construction, calibration and validation. J Hand Surg Br. 2000, 25: 200-207.View ArticlePubMedGoogle Scholar
- Brown A, Cramer LD, Eckhaus D, Schmidt J, Ware L, MacKenzie E: Validity and reliability of the Dexter hand evaluation and therapy system in hand-injured patients. J Hand Ther. 2000, 13: 37-45. 10.1016/S0894-1130(00)80051-4.View ArticlePubMedGoogle Scholar
- Catalano LW, Browne RH, Carter PR, Frobish AC, Ezaki M, Littler JW: The Littler line method and the area under a Gaussian curve: a new method of assessing digital range of motion. Hand Surg Am. 2001, 26: 23-30. 10.1053/jhsu.2001.21512.View ArticleGoogle Scholar
- Groth GN, VanDeven KM, Phillips EC, Ehretsman RL: Goniometry of the proximal and distal interphalangeal joints, Part II: placement preferences, interrater reliability, and concurrent validity. J Hand Ther. 2001, 14: 23-29. 10.1016/S0894-1130(01)80021-1.View ArticlePubMedGoogle Scholar
- Lefevre-Colau MM, Poiraudeau S, Fermanian J, Mayoux-Benhamou MA, Bargy F, Revel M: Reliability of two goniometers in assessing rheumatoid finger mobility: Relationship between mobility and disability. Eura Medicophys. 2001, 37: 3-10.Google Scholar
- Macdermid JC, Fox E, Richards RS, Roth JH: Validity of pulp-to-palm distance as a measure of finger flexion. J Hand Surg Br. 2001, 26: 432-435. 10.1054/jhsb.2001.0612.View ArticlePubMedGoogle Scholar
- Georgeu GA, Mayfield S, Logan AM: Lateral digital photography with computer-aided goniometry versus standard goniometry for recording finger joint angles. J Hand Surg Br. 2002, 27: 184-186. 10.1054/jhsb.2001.0692.View ArticlePubMedGoogle Scholar
- Ellis B, Bruton A: A study to compare the reliability of composite finger flexion with goniometry for measurement of range of motion in the hand. Clin Rehabil. 2002, 16: 562-570. 10.1191/0269215502cr513oa.View ArticlePubMedGoogle Scholar
- Rose V, Nduka CC, Pereira JA, Pickford MA, Belcher HJ: Visual estimation of finger angles: do we need goniometers?. J Hand Surg Br. 2002, 27: 382-384.View ArticlePubMedGoogle Scholar
- Glasgow C, Wilton J, Tooth L: Optimal daily total end range time for contracture: resolution in hand splinting. J Hand Ther. 2003, 16: 207-218. 10.1016/S0894-1130(03)00036-X.View ArticlePubMedGoogle Scholar
- Burr N, Pratt AL, Stott D: Inter-rater and intra-rater reliability when measuring interphalangeal joints: comparison between three hand-held goniometers. Physiotherapy. 2003, 89: 641-652. 10.1016/S0031-9406(05)60097-1.View ArticleGoogle Scholar
- Glasgow C, James M, O‘Sullivan J, Tooth LR: Measurement of joint stiffness in the hand: a preliminary investigation of the reliability and validity of torque angle curves. Br J Hand Ther. 2004, 9: 11-12.Google Scholar
- Pratt AL, Burr N, Stott D: An investigation into the degree of precision achieved by a team of hand therapists and surgeons using hand goniometry with a standardised protocol. Hand Ther. 2004, 9: 116-121.Google Scholar
- Stam HJ, Ardon MS, den Ouden AC, Schreuders TA, Roebroeck ME: The compangle: a new goniometer for joint angle measurements of the hand. a technical note. Eura Medicophys. 2006, 42: 37-40.PubMedGoogle Scholar
- Cook JR, Baker NA, Cham R, Hale E, Redfern MS: Measurements of wrist and finger postures: a comparison of goniometric and motion capture techniques. J Appl Biomech. 2007, 23: 70-78.PubMedGoogle Scholar
- Kato M, Echigo A, Ohta H, Ishiai S, Aoki M, Tsubota S, Uchiyama E: The accuracy of goniometric measurements of proximal interphalangeal joints in fresh cadavers: comparison between methods of measurement, types of goniometers, and fingers. J Hand Ther. 2007, 20: 12-18. 10.1197/j.jht.2006.11.015.View ArticlePubMedGoogle Scholar
- Smith RP, Dias JJ, Ullah A, Bhowal B: Visual and computer software-aided estimates of Dupuytren's contractures: correlation with clinical goniometric measurements. Ann R Coll Surg Engl. 2009, 91: 296-300.View ArticlePubMedPubMed CentralGoogle Scholar
- Lewis E, Fors L, Tharion WJ: Interrater and intrarater reliability of finger goniometric measurements. Am J Occup Ther. 2010, 64: 555-561. 10.5014/ajot.2010.09028.View ArticlePubMedGoogle Scholar
- Torok KS, Baker NA, Lucas M, Domsic RT, Boudreau R, Medsger TA: Reliability and validity of the delta finger-to-palm (FTP), a new measure of finger range of motion in systemic sclerosis. Clin Exp Rheumatol. 2010, 28: S28-36.PubMedPubMed CentralGoogle Scholar
- Li K, Chen IM, Yeo SH, Lim CK: Development of finger-motion capturing device based on optical linear encoder. J Rehabil Res Dev. 2011, 48: 69-82. 10.1682/JRRD.2010.02.0013.View ArticlePubMedGoogle Scholar
- Oess NP, Wanek J, Curt A: Design and evaluation of a low-cost instrumented glove for hand function assessment. J Neuroeng Rehabil. 2012, 9: 2-10.1186/1743-0003-9-2.View ArticlePubMedPubMed CentralGoogle Scholar
- Engstrand C, Krevers B, Kvist J: Interrater reliability in finger joint goniometer measurement in Dupuytren’s disease. Am J Occup Ther. 2012, 66: 98-103. 10.5014/ajot.2012.001925.View ArticlePubMedGoogle Scholar
- Portney LG, Watkins MP: Foundations of Clinical Research: Applications to Practice. 2008, NJ, Prentice Hall: Upper Saddle River, 3rdGoogle Scholar
- Bruton A, Conway JH, Holgate ST: Reliability: What is it and how is it measured?. Physiotherapy. 2000, 86: 94-99. 10.1016/S0031-9406(05)61211-4.View ArticleGoogle Scholar
- Weir JP: Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. J Strength Cond Res. 2005, 19: 231-240.PubMedGoogle Scholar
- Barnhart HX, Haber MJ, Lin LI: An overview on assessing agreement with continuous measurements. J Biopharm Stat. 2007, 17: 529-569. 10.1080/10543400701376480.View ArticlePubMedGoogle Scholar
- Shrout PE, Fleiss JL: Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979, 86: 420-428.View ArticlePubMedGoogle Scholar
- Eliasziw M, Young SL, Woodbury MG, Fryday-Field K: Statistical methodology for the concurrent assessment of interrater and intrarater reliability: using goniometric measurements as an example. Phys Ther. 1994, 74: 777-788.PubMedGoogle Scholar
- Hayen A, Dennis RJ, Finch CF: Determining the intra- and inter-observer reliability of screening tools used in sports injury research. J Sci Med Sport. 2007, 10: 201-210. 10.1016/j.jsams.2006.09.002.View ArticlePubMedGoogle Scholar
- Bland JM, Altman DG: Measurement error. BMJ. 1996, 313: 744-View ArticlePubMedPubMed CentralGoogle Scholar
- Hopkins WG: Measures of reliability in sports medicine and science. Sports Med. 2000, 30: 1-15. 10.2165/00007256-200030010-00001.View ArticlePubMedGoogle Scholar
- Altman DG, Bland JM: Brackets (parentheses) in formulas. BMJ. 2011, 343: d570-10.1136/bmj.d570.View ArticlePubMedGoogle Scholar
- Walter SD, Eliasziw M, Donner A: Sample size and optimal designs for reliability studies. Stat Med. 1998, 17: 101-110. 10.1002/(SICI)1097-0258(19980115)17:1<101::AID-SIM727>3.0.CO;2-E.View ArticlePubMedGoogle Scholar
- Crawshaw J, Chambers J: A concise course in advanced level statistics with worked examples. 2001, Cheltenham, UK: Nelson Thornes, 469-470. 4thGoogle Scholar
- Maxwell SE, Delaney HD: Designing Experiments and Analyzing Data: A Model Comparison Perspective. 2004, Mahwah, NJ: Lawrence Erlbaum Associates, 2ndGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2474/14/17/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.