The Sleep Condition Indicator (SCI) is a practical tool to assess your sleep, especially since insomnia is more common than you might think. Studies show that 10–12% of people meet the criteria for insomnia disorder, with up to 40% experiencing some sleep challenges, which can lead to tiredness, irritability, or low mood. In the past, health professionals often missed these issues due to a lack of simple screening methods. The SCI addresses this with:
The Sleep Condition Indicator (SCI) is rooted in solid sleep research, making it a dependable tool for assessing insomnia. Developed in the early 2010s by Professor Colin Espie and his team at the University of Oxford, alongside other sleep experts, it was first published in 2014 to address a clinical need. This need emerged in 2013 when the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5)—a guide used by health professionals to classify mental health conditions, updated with the latest evidence—redefined insomnia as a standalone disorder.
Before DSM-5, insomnia was often viewed through the primary vs. secondary model, where it was seen as a symptom of another issue (e.g., depression or chronic pain) rather than a distinct problem. This approach was limited because it often led to insomnia being ignored if the main condition was treated, even though insomnia can exist on its own, worsen other issues, or even come first. The DSM-5 changed this by setting clear criteria—difficulty falling or staying asleep at least three nights a week for three months, causing distress or impairment—encouraging better recognition and management of insomnia.
To meet this need, Espie’s team created the SCI as a brief, DSM-5-aligned questionnaire that general practitioners could use easily. Its eight questions—covering sleep onset, staying asleep, sleep quality, frequency, duration, and daytime impacts—were designed using current insomnia research and DSM-5 guidelines. Before the SCI, tools like the Pittsburgh Sleep Quality Index (PSQI) focused broadly on sleep quality without insomnia specificity, and the Insomnia Severity Index (ISI) relied on older DSM-IV criteria. The SCI filled this gap with a practical design.
The Sleep Condition Indicator (SCI) has been thoroughly tested to ensure it’s a tool you can trust. In research, we look at two key qualities: reliability and validity. Reliability means the SCI gives consistent results—like a thermometer that always reads your temperature correctly. Validity means it measures what it’s designed to—in this case, how severe someone’s insomnia is—not something unrelated. Let’s break down why the SCI delivers on both.
The SCI’s questions are designed to work together, producing steady results. In early studies, researchers measured this with a statistic called Cronbach’s alpha, which shows how well the questions align. They found scores of 0.86 or higher—excellent by research standards. A Swedish study later reported an even stronger 0.91. What does this mean? People with sleep problems tend to answer the questions in a way that consistently reflects their struggles, while those who sleep well score high across the board. This tells us the SCI is dependable—its results don’t flip-flop randomly.
The SCI accurately captures insomnia severity, and we know this because it lines up with other trusted sleep tools. For example, studies compared it to the Insomnia Severity Index (ISI) and Pittsburgh Sleep Quality Index (PSQI)—both widely used questionnaires. On the SCI, a higher score means better sleep; on the ISI and PSQI, a higher score means worse sleep. Sure enough, people with low SCI scores (poor sleep) also had high ISI and PSQI scores (poor sleep). This match confirms the SCI is measuring insomnia as it should.
Importantly, the SCI doesn’t overlap too much with tools for depression or anxiety. Studies found only a weak connection between SCI scores and those conditions. This is a good thing—it shows the SCI zeroes in on sleep problems specifically, not just general distress, even though insomnia and mood issues often go hand in hand.
The SCI’s questions address both nighttime troubles (like difficulty falling asleep) and daytime effects (like feeling tired or moody), which are core features of insomnia according to the DSM-5, the standard guide for diagnosing mental health conditions. This makes it a complete snapshot of the disorder. It’s also sensitive to change—after treatments like cognitive-behavioral therapy, SCI scores rise when sleep improves and drop if it worsens. This makes it a practical tool for tracking progress over time, not just assessing sleep at one moment.
Since its development, the SCI has proven itself in diverse settings. Translated into languages like Swedish and Indonesian (with slight tweaks for cultural fit), it performs just as well—Swedish studies, for instance, showed a strong match with the ISI. A 2021 study even validated it for people with Parkinson’s disease, a group prone to sleep issues, recommending it for both clinical care and research. Built on data from over 30,000 participants and backed by ongoing studies, the SCI is a robust, adaptable tool for understanding sleep health and guiding insomnia treatment.
The Sleep Condition Indicator (SCI) is one of several tools used to assess sleep, each with its own strengths. Comparing it to other measures can help you understand its role in exploring insomnia:
Like any tool, the Sleep Condition Indicator (SCI) has its limits, and it’s helpful to understand these when looking at your results:
It takes about 2–3 minutes to answer the eight questions, making it a quick way to check your sleep health.
No, the SCI is a screening tool, not a diagnosis. It helps identify possible insomnia, but a health professional would need to assess further to confirm insomnia disorder.
Yes, you can retake the SCI as often as you’d like. It’s a good way to see if your sleep improves, especially if you’re working on insomnia treatment or using tools like sleep diaries.
That’s okay—just answer based on what you recall about your typical sleep over the past month. The SCI focuses on your overall experience, so small memory gaps won’t affect the results much.
Investigate other validated measures to assess insomnia, sleep quality, sleep hygiene, and factors like daytime sleepiness or beliefs about sleep. Track patterns with our sleep diary or visit our assessment hub for a full overview of insomnia assessment.
Espie, C. A., Kyle, S. D., Hames, P., Gardani, M., Fleming, L., & Cape, J. (2014). The Sleep Condition Indicator: A clinical screening tool to evaluate insomnia disorder. BMJ Open, 4(3), e004183. https://doi.org/10.1136/bmjopen-2013-004183
This study introduces the Sleep Condition Indicator (SCI), an eight-item questionnaire designed to assess insomnia disorder in line with DSM-5 criteria. The authors detail the development process and validate the SCI’s effectiveness in clinical settings, demonstrating its reliability and validity.
McLaren, D. M., Evans, J., Baylan, S., & Gardani, M. (2024). Assessing insomnia after stroke: A diagnostic validation of the Sleep Condition Indicator. Neurology Open, 6(2), e000768. https://doi.org/10.1136/bmjno-2024-000768
This research evaluates the diagnostic accuracy of the SCI in identifying insomnia among stroke survivors. The findings confirm the SCI’s validity in this population, suggesting a modified threshold score for optimal sensitivity and specificity.
Espie, C. A., Kyle, S. D., Hames, P., Gardani, M., Fleming, L., & Cape, J. (2014). The Sleep Condition Indicator: A clinical screening tool to evaluate insomnia disorder. University of Strathclyde. Retrieved from https://strathprints.strath.ac.uk/59473/
This publication provides an overview of the SCI, emphasizing its development and application in clinical settings for evaluating insomnia disorder.
Espie, C. A., Kyle, S. D., Hames, P., Gardani, M., Fleming, L., & Cape, J. (2014). The Sleep Condition Indicator: A clinical screening tool to evaluate insomnia disorder. University of Manchester. Retrieved from https://research.manchester.ac.uk/en/publications/the-sleep-condition-indicator-a-clinical-screening-tool-to-evalua
This resource outlines the development and validation of the SCI, highlighting its role as a screening tool for insomnia disorder in clinical practice.
Espie, C. A., Kyle, S. D., Hames, P., Gardani, M., Fleming, L., & Cape, J. (2014). The Sleep Condition Indicator: A clinical screening tool to evaluate insomnia disorder. Nuffield Department of Clinical Neurosciences, University of Oxford. Retrieved from https://www.ndcn.ox.ac.uk/publications/457969ndcn.ox.ac.uk+1bmjopen.bmj.com+1
This publication discusses the SCI as a clinical tool for assessing insomnia disorder, detailing its validation and potential applications in healthcare.
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