# Enhancing identification and diagnosis of nightmare disorder in active duty patients at a sleep disorders center: A quality improvement initiative

**Authors:** Amanda Radtke, Zahari Tchopev, Philip Cushman, James Kang, Aaron Burch, H. Samuel Scheuller, Matthew S. Brock

PMC · DOI: 10.1007/s44470-025-00016-0 · Journal of Clinical Sleep Medicine : JCSM : Official Publication of the American Academy of Sleep Medicine · 2026-01-22

## TL;DR

This study shows how a sleep center improved diagnosing nightmares in military patients by changing their workflow and training staff.

## Contribution

A replicable model for increasing nightmare disorder diagnosis rates in military healthcare settings through workflow-oriented interventions.

## Key findings

- The diagnosis rate of nightmare disorder increased from 0.60% to 9.12% after three intervention cycles.
- The recognition rate of probable nightmare disorder cases rose from 3.03% to 55.32%.
- Interventions were implemented without delaying care or increasing staff burden.

## Abstract

Nightmare Disorder (NDO) is an underdiagnosed sleep disorder causing significant impairment, particularly in active duty U.S. military personnel who experience unique stressors. Despite 59.28% of referred service members reporting nightmares and 19.76% screening positive for probable NDO, baseline diagnosis rate was only 0.60%. Our quality improvement project aimed to improve identification and diagnosis of NDO among active duty service members at our sleep disorders center by increasing the confirmed diagnosis rate from 0.60% to at least 5% within 12 months.

A quality improvement initiative utilizing tiered Plan-Do-Study-Act cycles was implemented over seven months. Interventions included standardizing documentation of Nightmare Disorder Index results on polysomnography reports, targeted provider education, and chart flagging for patients screening positive for probable NDO. Diagnostic and process data were collected at baseline and following each intervention cycle.

The diagnosis rate of NDO increased from 0.60% at baseline to 9.12% after three Plan-Do-Study-Act cycles. The percentage of patients with probable NDO who were ultimately diagnosed (recognition rate) rose from 3.03% to 55.32%. Interventions were implemented without delaying care or increasing staff burden, surpassing the goal diagnosis rate of at least 5% within the target timeframe.

Our interventions led to meaningful increases in NDO diagnoses that exceeded project goals. Given the significant effect of sleep disturbances and heightened mental health risks in the military, identification of this underdiagnosed disorder is clinically important and serves as the essential first step toward ensuring affected individuals receive appropriate treatment.

Current knowledge/study rationale: Nightmare Disorder is significantly underdiagnosed in active duty service members despite causing substantial impairment and being highly prevalent in this population who face unique stressors. Sleep disorders centers often fail to identify and diagnose this condition even when service members report nightmares and screen positive on validated assessment tools.

Study impact: This quality improvement initiative demonstrates that systematic interventions including standardized screening documentation, provider education, and proactive chart flagging can dramatically increase nightmare disorder diagnosis rates in military healthcare settings. The successful implementation of these workflow-oriented processes provides a replicable model for other military and civilian sleep centers to improve identification of this underdiagnosed condition, serving as an essential first step toward ensuring affected patients receive appropriate treatment.

## Full-text entities

- **Diseases:** Sleep disorders (MESH:D012893), NDO (MESH:D009358)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12995060/full.md

## References

1 references — full list in the complete paper: https://tomesphere.com/paper/PMC12995060/full.md

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Source: https://tomesphere.com/paper/PMC12995060