9-Hole Peg Test Explained: How to Measure Hand Dexterity Accurately

Alex Bendersky
October 14, 2025

Hand dexterity plays a crucial role in our daily lives, from buttoning a shirt to typing on a keyboard. For healthcare professionals, accurately measuring fine motor skills and hand function is essential for diagnosing conditions, tracking disease progression, and evaluating rehabilitation outcomes. The 9-Hole Peg Test stands out as one of the most reliable and widely-used assessment tools for this purpose.

This standardized test has become the gold standard for evaluating upper extremity function, particularly in neurological conditions. Whether you're a clinician, researcher, occupational therapist, or patient wanting to understand this assessment better, this comprehensive guide will walk you through everything you need to know about the 9HPT.

Understanding the 9 Hole Peg Test

The 9-Hole Peg Test is a brief, standardized assessment that measures finger dexterity and hand function. Originally developed in the 1950s by Mathiowetz and colleagues, this simple yet powerful tool has stood the test of time due to its reliability, validity, and ease of administration.

The test involves a shallow container with nine holes and nine pegs. Participants must pick up the nine pegs one at a time as quickly as possible, place them into the holes, and then remove them again one at a time, returning them to the container. The entire process is timed, providing an objective measurement of manual dexterity.

What makes this test particularly valuable is its sensitivity to subtle changes in hand function. Even minor impairments that might not be obvious during casual observation can be detected through precise timing measurements. This sensitivity makes it ideal for monitoring disease progression or treatment effectiveness over time.

The test is administered to both hands separately, allowing clinicians to compare dominant and non-dominant hand performance and identify asymmetries that might indicate neurological issues. The entire assessment typically takes less than five minutes per hand, making it practical for busy clinical settings.

Nine Hole Peg Test: Clinical Applications and Importance

The Nine Hole Peg Test has become an indispensable tool across multiple medical specialties. Its primary applications include neurological assessments, rehabilitation monitoring, and research studies examining upper extremity function.

In multiple sclerosis (MS) clinics, the NHPT forms part of the Multiple Sclerosis Functional Composite (MSFC), a standardized battery of tests used worldwide. MS patients often experience subtle changes in coordination and fine motor skills, which the test can detect before they become apparent in daily activities. Regular testing helps neurologists make informed decisions about treatment modifications.

Stroke rehabilitation programs rely heavily on the 9HPT to track recovery progress. Following a cerebrovascular accident, patients typically show marked differences between affected and unaffected hands. Serial testing over weeks and months provides concrete evidence of improvement, helping therapists adjust treatment plans and motivate patients by demonstrating measurable progress.

The test also plays a vital role in assessing conditions like Parkinson's disease, where bradykinesia (slowness of movement) and reduced fine motor control significantly impact quality of life. Similarly, it's used in evaluating peripheral neuropathies, arthritis, hand injuries, and post-surgical recovery.

Research applications are equally extensive. Clinical trials investigating new neurological treatments often include the 9HPT as an outcome measure. Its standardization across countries and languages makes it ideal for multicenter international studies, allowing researchers to pool data and draw more robust conclusions.

9HPT Administration Protocol and Standardization

Proper administration of the 9HPT is critical for obtaining reliable, valid results. The standardized protocol ensures consistency across different testers, locations, and time points.

The testing setup requires specific equipment: a board approximately 12.5 cm square with nine holes arranged in a 3x3 grid, and nine pegs approximately 9 mm in diameter and 32 mm long. The board should be placed on a table at a comfortable height, with adequate lighting to ensure the participant can see clearly.

Before beginning the timed trial, participants receive detailed instructions. They're told to pick up one peg at a time from the container using only one hand, place it in any of the nine holes, and repeat until all holes are filled. Then, they remove the pegs one at a time and return them to the container. The examiner demonstrates the procedure before the participant begins.

Practice trials are essential, especially for participants unfamiliar with the test. A single practice run helps reduce learning effects and anxiety, leading to more accurate baseline measurements. Following practice, two timed trials are conducted for each hand, and the average of these trials is typically recorded.

Timing begins when the participant touches the first peg and ends when the last peg is replaced in the container and the participant's hand leaves the peg. The use of a stopwatch capable of measuring to at least one-tenth of a second ensures precision.

The dominant hand is usually tested first, though some protocols alternate. Standardizing this order within a study or clinical setting maintains consistency. Rest periods between trials prevent fatigue from affecting results, particularly important for patients with neurological conditions who may tire easily.

NHPT Scoring, Interpretation, and Normative Data

Understanding how to score and interpret the NHPT is fundamental to its clinical utility. The primary outcome measure is the time in seconds required to complete the test. Lower times indicate better dexterity, while higher times suggest impaired function.

Normative data provides context for individual scores. Research has established age and gender-specific reference values, as both factors significantly influence performance. Generally, completion times increase with age, reflecting natural declines in processing speed and motor control. Women typically perform slightly faster than men, though differences are modest.

Age Range Dominant Hand (seconds) Non-Dominant Hand (seconds)
20-29 years 15.5 - 18.5 16.5 - 19.5
30-39 years 16.0 - 19.0 17.0 - 20.5
40-49 years 16.5 - 20.0 17.5 - 21.5
50-59 years 17.5 - 21.5 18.5 - 23.0
60-69 years 18.5 - 23.0 20.0 - 25.0
70+ years 20.0 - 26.0 22.0 - 28.5

Clinical interpretation requires comparing patient scores to appropriate normative data. A completion time more than two standard deviations above the age-matched mean typically indicates significant impairment. However, individual baseline variations exist, which is why serial testing often provides more valuable information than single assessments.

The difference between dominant and non-dominant hand performance also carries diagnostic significance. Healthy individuals typically show a 10-15% time difference, with the non-dominant hand being slightly slower. Asymmetries exceeding 20% may indicate unilateral neurological involvement, warranting further investigation.

For research purposes, percent change from baseline is often calculated. A 20% improvement or deterioration is generally considered clinically meaningful, though this threshold may vary depending on the condition being studied and the intervention being tested.

Some conditions prevent test completion within a reasonable timeframe. When participants cannot complete the test in 300 seconds (5 minutes) or cannot complete it at all, this information is recorded and provides important clinical data about the severity of impairment.

Reliability and Validity of the 9-Hole Peg Test

The scientific rigor behind the 9HPT contributes significantly to its widespread adoption. Extensive research has demonstrated excellent psychometric properties, confirming it as a trustworthy measurement tool.

Test-retest reliability—the consistency of scores when the same person is tested multiple times under similar conditions—is exceptionally high for the 9HPT. Studies report intraclass correlation coefficients (ICC) ranging from 0.89 to 0.97, indicating outstanding reproducibility. This means that changes in scores likely reflect true changes in function rather than measurement error.

Inter-rater reliability, which examines whether different examiners obtain similar results when testing the same individual, is equally impressive. The straightforward administration protocol and objective timing minimize subjective interpretation, leading to ICCs above 0.90 in most studies. This consistency allows different clinicians to track the same patient over time without concern about examiner-related variability.

Construct validity—whether the test measures what it claims to measure—has been confirmed through numerous studies. The 9HPT correlates strongly with other measures of hand function and upper extremity disability. In MS populations, 9HPT scores correlate with patient-reported outcomes related to hand function and correlate with neurological disability scales.

The test also demonstrates good discriminant validity, effectively distinguishing between individuals with and without neurological impairments. Patients with MS, Parkinson's disease, and stroke consistently score significantly worse than healthy controls matched for age and gender.

Responsiveness—the ability to detect meaningful change over time—is another strength. The 9HPT successfully captures both improvement during rehabilitation and deterioration during disease progression. Minimal detectable change (MDC) values have been established for various populations, helping clinicians determine whether observed changes exceed measurement error and represent true functional shifts.

Special Considerations and Modifications

While the standard 9HPT protocol works well for most individuals, certain populations may require modifications or special considerations to ensure valid assessment.

Visual impairments can significantly affect performance. Adequate lighting is essential, and for individuals with reduced contrast sensitivity, using pegs and boards with high color contrast can help. Some adaptations use pegs that contrast sharply with the board background, making the holes more visible.

Cognitive impairments may interfere with understanding or remembering instructions. For individuals with dementia or other cognitive conditions, repeated demonstrations, simplified instructions, and encouragement throughout testing may be necessary. However, care must be taken to maintain standardization while providing necessary support.

Severe motor impairments sometimes make the standard test impossible to complete. Some protocols modify the pass/fail criteria or use partial completion scores. For research purposes, assigning the maximum time (300 seconds) to individuals who cannot complete the test allows for statistical analysis, though this approach has limitations.

Fatigue-sensitive conditions like MS or myasthenia gravis require attention to timing. Testing during the patient's optimal energy period and allowing adequate rest between trials helps ensure results reflect true dexterity rather than fatigue effects. Some clinicians avoid scheduling testing after strenuous activities or during known fatigue periods.

Children and adolescents may require age-specific normative data and sometimes benefit from modified instructions that use more playful language. Maintaining attention during testing can be challenging with younger children, so a supportive, encouraging approach enhances cooperation.

Condition Typical Pattern Clinical Significance
Multiple Sclerosis Bilateral slowing; may worsen with fatigue Tracks disability progression; included in MSFC
Stroke (Unilateral) Marked asymmetry; affected side significantly slower Documents recovery; guides rehabilitation intensity
Parkinson's Disease Bilateral slowing; bradykinesia evident Reflects basal ganglia dysfunction; monitors treatment response
Peripheral Neuropathy Variable; depends on distribution and severity Correlates with sensory loss and weakness patterns
Rheumatoid Arthritis May show asymmetry based on joint involvement Reflects inflammation impact on hand function
Traumatic Brain Injury Variable; may improve significantly during recovery Tracks neural recovery and rehabilitation progress

Research Applications and Clinical Trials

The 9HPT has become a cornerstone outcome measure in neurological research. Its inclusion in clinical trials provides objective, quantifiable data about intervention effects on fine motor function.

In multiple sclerosis research, the 9HPT is one of three components of the MSFC, alongside timed 25-foot walk and PASAT (cognitive test). This composite measure captures multiple functional domains affected by MS. Pharmaceutical companies consistently include the 9HPT in Phase II and III trials of disease-modifying therapies, allowing regulators and clinicians to assess whether new treatments preserve hand function.

Stroke rehabilitation studies use the 9HPT extensively to evaluate recovery trajectories and rehabilitation interventions. Research comparing different therapy approaches—constraint-induced movement therapy, robotic therapy, mirror therapy—often employs the 9HPT as a primary or secondary outcome. The test's sensitivity to change makes it ideal for detecting even modest treatment effects.

Parkinson's disease trials investigating symptomatic treatments or neuroprotective agents frequently incorporate the 9HPT. Since bradykinesia and motor slowing are cardinal features of PD, measuring their impact on timed manual dexterity provides clinically relevant information about treatment efficacy.

Beyond pharmaceutical interventions, the test appears in studies examining surgical outcomes, such as deep brain stimulation effectiveness, and in research evaluating occupational therapy interventions, assistive device utility, and exercise programs targeting upper extremity function.

Longitudinal population studies use the 9HPT to track age-related changes in motor function. These studies contribute to our understanding of normal aging versus pathological decline, helping distinguish expected age-related slowing from early disease manifestations.

Advantages and Limitations of the Assessment

Understanding both strengths and limitations helps clinicians and researchers use the 9HPT appropriately and interpret results accurately.

Advantages:

The test's primary strengths include its brevity, requiring only minutes to administer, making it practical even in time-constrained settings. Minimal training is needed for examiners, reducing implementation barriers. The equipment is inexpensive and portable, facilitating use in diverse settings from hospital clinics to community health centers to research laboratories.

Objectivity is another major advantage. Unlike many clinical assessments that rely on subjective observation or patient self-report, the 9HPT provides precise, quantifiable data. This objectivity enhances reproducibility and reduces bias in clinical trials.

The extensive normative data available across age groups, cultures, and populations facilitates interpretation. Published reference values allow clinicians to contextualize individual patient performance meaningfully.

Limitations:

Despite its strengths, the 9HPT has limitations. It measures only one aspect of hand function—speed and coordination of fine motor control. It doesn't assess strength, grip, sensation, or functional task performance like buttoning or writing. Therefore, it should complement rather than replace comprehensive hand function evaluations.

The test primarily captures psychomotor speed and may not reflect functional capacity for everyday activities. A person might complete the test slowly but still perform daily tasks adequately, or conversely, might have acceptable test times but struggle with complex functional activities requiring sustained coordination.

Motivation and effort can influence results. Unlike purely physiological measures, performance-based tests depend on participant cooperation. In research settings, this necessitates attention to factors that might affect effort, such as secondary gain issues or testing fatigue.

The test doesn't differentiate between various impairment types. Slow performance might result from weakness, incoordination, bradykinesia, sensory loss, or pain. Identifying the underlying cause requires additional clinical assessment.

Integrating 9HPT Results into Patient Care

Translating test results into meaningful clinical actions represents the ultimate goal of assessment. The 9HPT provides valuable data that should inform treatment planning, goal setting, and outcome monitoring.

When baseline testing reveals impairment, occupational therapy referral may be appropriate. Therapists can develop targeted interventions addressing specific deficits identified through testing. For example, marked slowing might prompt activities targeting processing speed and motor planning, while asymmetry might focus rehabilitation efforts on the more affected side.

Serial testing guides treatment modification decisions. Stable scores during rehabilitation might indicate the need for program adjustment, while improvement validates current approaches. In degenerative conditions, declining scores may prompt medication adjustments or increased therapy intensity.

Goal setting becomes more objective when based on 9HPT data. Rather than vague objectives like "improve hand function," specific, measurable goals such as "reduce completion time by 15% over 12 weeks" provide clear targets for both clinician and patient. This specificity enhances motivation and allows unambiguous evaluation of progress.

Patient education benefits from concrete numbers. Explaining that completion time of 35 seconds places them significantly above the normative range helps patients understand their impairment severity. Similarly, demonstrating improvement from 35 to 28 seconds provides tangible evidence of progress, which can be highly motivating during challenging rehabilitation periods.

Insurance and disability determinations sometimes require objective functional data. While the 9HPT alone isn't sufficient for such decisions, it contributes valuable quantitative evidence of impairment severity and functional limitations affecting daily activities.

Research participation decisions can be informed by 9HPT results. Some clinical trials have inclusion criteria based on functional impairment levels. Understanding where a patient falls on the spectrum of impairment helps determine trial eligibility and appropriateness.

Conclusion

The 9-Hole Peg Test stands as a testament to the value of simple, well-designed assessment tools in healthcare. Despite being developed over seven decades ago, it remains highly relevant in modern clinical practice and research. Its combination of brevity, objectivity, reliability, and clinical relevance ensures its continued importance in measuring hand dexterity.

For clinicians, the 9HPT offers a practical method to quantify upper extremity function, track changes over time, and make evidence-based treatment decisions. For researchers, it provides a standardized outcome measure enabling comparison across studies and populations. For patients, it offers concrete feedback about their functional status and progress.

As medicine continues embracing evidence-based practice and objective outcome measurement, tools like the 9HPT become increasingly valuable. Understanding its proper use, interpretation, and limitations ensures that this simple test continues providing meaningful insights into hand function, ultimately contributing to improved patient care.

Whether you're implementing the test in clinical practice, incorporating it into research protocols, or simply seeking to understand this widely-used assessment, recognizing both its capabilities and constraints allows for appropriate, informed application. The 9-Hole Peg Test exemplifies how straightforward, thoughtfully designed tools can profoundly impact our ability to measure, monitor, and improve human function.

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