Prevalence of prominent and predominant negative symptoms across different criteria for negative symptom severity and minimal positive symptoms: A comparison of different criteria.

Negative symptoms are a source of disability in schizophrenia, but criteria for identifying patients for clinical trials are in flux. Minimum severity for negative symptoms is paired with a definition of minimal psychosis to identify predominant negative symptoms. Two previous successful negative symptoms treatment studies used very different severity and selection criteria. We compared the prevalence of participants meeting those two criteria in a large outpatient sample of participants with schizophrenia. Data from 867 outpatients with schizophrenia who participated in one of four NIMH-funded studies were analyzed. Common data elements included diagnoses, the PANSS, and an assessment of everyday functioning. We compared previous criterion for premoninant negative symptoms based on low levels of agitation and psychosis and different cut-offs for negative symptoms severity. 57 % of the participants met the agitation-based criteria for low scores and 33 % met the psychosis-based criteria. 18 % met total PANSS score ≥ 20 and 8 % met ≥24 prominent negative symptoms criteria. 14 % met low agitation and PANSS≥20 and 2 % met the low psychosis and negative symptoms ≥24 criteria. Participants who met all predominant criteria had more impairments in social functioning (all p < .001, all d > 0.37). Criteria for predominant negative symptoms from previous clinical trials identify widely different numbers of cases, with criteria for negative symptom severity and low symptoms both impacting. All criteria yield the expected profile of relatively specific social deficits. Even in unselected populations who participated in complex research protocols, 14 % meet low- agitation based criteria for predominant negative symptoms and many more participants would be expected to meet criteria with enrichment for the presence of negative symptoms.

Detecting agitation and aggression in persons living with dementia: a systematic review of diagnostic accuracy.

OBJECTIVE: 40-60% of persons living with dementia (PLWD) experience agitation and/or aggression symptoms. There is a need to understand the best method to detect agitation and/or aggression in PLWD. We aimed to identify agitation and/or aggression tools that are validated against a reference standard within the context of PLWD. METHODS: Our study was registered on PROSPERO (CRD42020156708). We searched MEDLINE, Embase, and PsycINFO up to April 22, 2024. There were no language or date restrictions. Studies were included if they used any tools or questionnaires for detecting either agitation or aggression compared to a reference standard among PLWD, or any studies that compared two or more agitation and/or aggression tools in the population. All screening and data extraction were done in duplicates. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool. Data extraction was completed in duplicates by two independent authors. We extracted demographic information, prevalence of agitation and/or aggression, and diagnostic accuracy measures. We also reported studies comparing the correlation between two or more agitation and/or aggression tools. RESULTS: 6961 articles were screened across databases. Six articles reporting diagnostic accuracy measures compared to a reference standard and 30 articles reporting correlation measurements between tools were included. The agitation domain of the Spanish NPI demonstrated the highest sensitivity (100%) against the agitation subsection of the Spanish CAMDEX. Single-study evidence was found for the diagnostic accuracy of commonly used agitation scales (BEHAVE-AD, NPI and CMAI). CONCLUSIONS: The agitation domain of the Spanish NPI, the NBRS, and the PAS demonstrated high sensitivities, and may be reasonable for clinical implementation. However, a limitation to this finding is that despite an extensive search, few studies with diagnostic accuracy measurements were identified. Ultimately, more research is needed to understand the diagnostic accuracy of agitation and/or aggression detection tools among PLWD.

Pain in Dementia: An Empirical Test of a Common Assumption.

Numerous, and often largely overlapping, observational pain assessment tools have been developed specifically to assess pain in older adults with dementia under the assumption that a specialized approach is necessary to evaluate pain in this population. However, this assumption has never been tested empirically. As an empirical test of this implicit assumption, our goal was to compare existing tools for people living with dementia (with respect to psychometric properties), not only against each other, but also against a tool developed for a different population with cognitive impairments. Videos of older adults with severe dementia recorded in long-term care settings were coded for pain behaviors in the laboratory. Trained coders coded pain behaviors in video segments of older adults with dementia during a quiet baseline condition as well as during a physical examination (designed to identify painful areas), using various observational pain assessment tools. An observational measure of agitation was employed to facilitate the assessment of discriminant validity. Consistent with our expectations, all pain tools (including the tool developed for younger people with cognitive impairments) successfully differentiated between painful and nonpainful states, with large effect sizes. This was the first study to compare tools specifically developed to assess pain in people living with dementia to a tool developed for a different population. Given that all tools under study showed satisfactory psychometric properties when tested on persons with dementia, this study suggests that the assumption that different tools are necessary for different populations with cognitive impairments cannot be taken for granted. PERSPECTIVE: This article challenges an implicitly held assumption that specialized tools are needed to assess pain in different populations with cognitive impairments. Given commonalities in pain expression across populations, further research is needed to determine whether population-specific tools are needed.

Use of actigraphy for monitoring agitation and rest-activity cycles in patients with acute traumatic brain injury in the ICU.

BACKGROUND: In traumatic brain injury patients (TBI) admitted to the intensive care unit (ICU), agitation can lead to accidental removal of catheters, devices as well as self-extubation and falls. Actigraphy could be a potential tool to continuously monitor agitation. The objectives of this study were to assess the feasibility of monitoring agitation with actigraphs and to compare activity levels in agitated and non-agitated critically ill TBI patients. METHODS: Actigraphs were placed on patients' wrists; 24-hour monitoring was continued until ICU discharge or limitation of therapeutic efforts. Feasibility was assessed by actigraphy recording duration and missing activity count per day. RESULTS: Data from 25 patients were analyzed. The mean number of completed day of actigraphy per patient was 6.5 ± 5.1. The mean missing activity count was 20.3 minutes (±81.7) per day. The mean level of activity measured by raw actigraphy counts per minute over 24 hours was higher in participants with agitation than without agitation. CONCLUSIONS: This study supports the feasibility of actigraphy use in TBI patients in the ICU. In the acute phase of TBI, agitated patients have higher levels of activity, confirming the potential of actigraphy to monitor agitation.

Wrist-worn actigraphy in agitated late-stage dementia patients: A feasibility study on digital inclusion.

BACKGROUND: Wrist-worn actigraphy can be an objective tool to assess sleep and other behavioral and psychological symptoms in dementia (BPSD). We investigated the feasibility of using wearable actigraphy in agitated late-stage dementia patients. METHODS: Agitated, late-stage Alzheimer's dementia care home residents in Greater London area (n = 29; 14 females, mean age ± SD: 80.8 ± 8.2; 93.1% White) were recruited to wear an actigraphy watch for 4 weeks. Wearing time was extracted to evaluate compliance, and factors influencing compliance were explored. RESULTS: A high watch-acceptance (96.6%) and compliance rate (88.0%) was noted. Non-compliance was not associated with age or BPSD symptomatology. However, participants with "better" cognitive function (R = 0.42, p = 0.022) and during nightshift (F1.240, 33.475 = 8.075, p = 0.005) were less compliant. Female participants were also marginally less compliant (F1, 26 = 3.790, p = 0.062). DISCUSSIONS: Wrist-worn actigraphy appears acceptable and feasible in late-stage agitated dementia patients. Accommodating the needs of both the patients and their carers may further improve compliance.

An automated ICU agitation monitoring system for video streaming using deep learning classification.

OBJECTIVE: To address the challenge of assessing sedation status in critically ill patients in the intensive care unit (ICU), we aimed to develop a non-contact automatic classifier of agitation using artificial intelligence and deep learning. METHODS: We collected the video recordings of ICU patients and cut them into 30-second (30-s) and 2-second (2-s) segments. All of the segments were annotated with the status of agitation as "Attention" and "Non-attention". After transforming the video segments into movement quantification, we constructed the models of agitation classifiers with Threshold, Random Forest, and LSTM and evaluated their performances. RESULTS: The video recording segmentation yielded 427 30-s and 6405 2-s segments from 61 patients for model construction. The LSTM model achieved remarkable accuracy (ACC 0.92, AUC 0.91), outperforming other methods. CONCLUSION: Our study proposes an advanced monitoring system combining LSTM and image processing to ensure mild patient sedation in ICU care. LSTM proves to be the optimal choice for accurate monitoring. Future efforts should prioritize expanding data collection and enhancing system integration for practical application.

Assessing patterns of delirium symptoms reveals a novel subtype among elective surgical patients with postoperative delirium.

OBJECTIVES: Prior studies reported incidence of hypoactive and hyperactive subtypes of postoperative delirium, but did not consider cognitive symptoms of delirium which are highlighted in the DSM-5 criteria for delirium. This study aims to address this gap in the literature by classifying cases of delirium according to their constellation of cognitive and motoric symptoms of delirium using a statistical technique called Latent Class Analysis (LCA). METHODS: Data were from five independent study cohorts (N = 1968) of patients who underwent elective spine, knee/hip, or elective gastrointestinal and thoracic procedures, between 2001 and 2017. Assessments of delirium symptoms were conducted using the long form of the Confusion Assessment Method (CAM) pre- and post-surgery. Latent class analyses of CAM data from the first 2 days after surgery were conducted to determine subtypes of delirium based on patterns of cognitive and motoric symptoms of delirium. We also determined perioperative patient characteristics associated with each latent class of delirium and assessed whether the length of delirium for each of the patterns of delirium symptoms identified by the latent class analysis. RESULTS: The latent class model from postoperative day 1 revealed three distinct patterns of delirium symptoms. One pattern of symptoms, denoted as the Hyperalert class, included patients whose predominant symptoms were being hyperalert or overly sensitive to environmental stimuli and having a low level of motor activity. Another pattern of symptoms, denoted as the Hypoalert class, included patients whose predominant symptom was being hypoalert (lethargic or drowsy). A third pattern of symptoms, denoted as the Cognitive Changes class, included patients who experienced new onset of disorganized thinking, memory impairment, and disorientation. Among 352 patients who met CAM criteria for delirium on postoperative day 1, 34% had symptoms that fit within the Hyperalert latent class, 39% had symptoms that fit within the Hypoalert latent class, and 27% had symptoms that fit within the Cognitive Changes latent class. Similar findings were found when latent class analysis was applied to those who met CAM criteria for delirium on postoperative day 2. Multinomial regression analyses revealed that ASA class, surgery type, and preoperative cognitive status as measured by the Telephone Interview for Cognitive Status (TICS) scores were associated with class membership. Length of delirium differed between the latent classes with the Cognitive Changes latent class having a longer duration compared to the other two classes. CONCLUSIONS: Older elective surgery patients who did not have acute events or illnesses or a diagnosis of dementia prior to surgery displayed varying symptoms of delirium after surgery. Compared to prior studies that described hypoactive and hyperactive subtypes of delirium, we identified a novel subtype of delirium that reflects cognitive symptoms of delirium. The three subtypes of delirium reveal distinct patterns of delirium symptoms which provide insight into varying risks and care needs of patients with delirium, indicating the necessity of future research on reducing risk for cognitive symptoms of delirium.

Optimal strategies for assessing and managing pain, agitation, and delirium in the critically ill surgical patient: What you need to know.

ABSTRACT: Pain, agitation, and delirium (PAD) are primary drivers of outcome in the ICU, and expertise in managing these entities successfully is crucial to the intensivist's toolbox. In addition, there are unique aspects of surgical patients that impact assessment and management of PAD. In this review, we address the continuous spectrum of assessment, and management of critically ill surgical patients, with a focus on limiting PAD, particularly incorporating mobility as an anchor to ICU liberation. Finally, we touch on the impact of PAD in specific populations, including opioid use disorder, traumatic brain injury, pregnancy, obesity, alcohol withdrawal, and geriatric patients. The goal of the review is to provide rapid access to information regarding PAD and tools to assess and manage these important elements of critical care of surgical patients.

Agitation in cognitive disorders: Progress in the International Psychogeriatric Association consensus clinical and research definition.

BACKGROUND: The International Psychogeriatric Association (IPA) published a provisional consensus definition of agitation in cognitive disorders in 2015. As proposed by the original work group, we summarize the use and validation of criteria in order to remove "provisional" from the definition. METHODS: This report summarizes information from the academic literature, research resources, clinical guidelines, expert surveys, and patient and family advocates on the experience of use of the IPA definition. The information was reviewed by a working group of topic experts to create a finalized definition. RESULTS: We present a final definition which closely resembles the provisional definition with modifications to address special circumstances. We also summarize the development of tools for diagnosis and assessment of agitation and propose strategies for dissemination and integration into precision diagnosis and agitation interventions. CONCLUSION: The IPA definition of agitation captures a common and important entity that is recognized by many stakeholders. Dissemination of the definition will permit broader detection and can advance research and best practices for care of patients with agitation.

Impact of the iWHELD digital person-centered care program on quality of life, agitation and psychotropic medications in people with dementia living in nursing homes during the COVID-19 pandemic: A randomized controlled trial.

INTRODUCTION: iWHELD is a digital person-centered care program for people with dementia in nursing homes adapted for remote delivery during the COVID-19 pandemic. METHODS: A 16-week two-arm cluster-randomized controlled trial in 149 UK nursing homes compared iWHELD with treatment as usual (TAU). Primary outcome was the overall quality of life with secondary outcomes of agitation and psychotropic use. RESULTS: iWHELD conferred benefit to quality of life on the primary (F = 4.3, p = 0.04) and secondary measures of quality of life (F = 6.45, p = 0.01) and reduced psychotropic medication use (χ2  = 4.08, p = 0.04) with no worsening of agitation. Benefit was seen in participants who contracted COVID-19, those with agitation at baseline, and those taking psychotropic medications. DISCUSSION: iWHELD confers benefits to quality of life and key measures of well-being, can be delivered during the challenging conditions of a pandemic, and should be considered for use alongside any emerging pharmacological treatment for neuropsychiatric symptoms. HIGHLIGHTS: iWHELD is the only remote, digital delivery nursing home training programme for dementia care iWHELD improved quality of life in people with dementia and reduced antipsychotic use without worsening of agitation Residents who contracted Covid-19 during the study also experienced benefits from iWHELD iWHELD offers a valuable, pandemic-safe tool for improving dementia care.

The Significance and Limitations of Sensor-based Agitation Detection in People Living with Dementia.

Agitation, a commonly observed behaviour in people living with dementia (PLwD), is frequently interpreted as a response to physiological, environmental, or emotional stress. Agitation has the potential to pose health risks to both individuals and their caregivers, and can contribute to increased caregiver burden and stress. Early detection of agitation can facilitate with timely intervention, which has the potential to prevent escalation to other challenging behaviors. Wearable and ambient sensors are frequently used to monitor physiological and behavioral conditions and the collected signals can be engaged to detect the onset of an agitation episode. This paper delves into the current sensor-based methods for detecting agitation in PLwD, and reviews the strengths and limitations of existing works. Future directions to enable real-time agitation detection to empower caregivers are also deliberated, with a focus on their potential to reduce caregiver burden by facilitating early support, assistance and interventions to timely manage agitation episodes in PLwD.

Factors influencing agitation, de-escalation, and physical restraint at a children's hospital.

BACKGROUND: Children hospitalized in medical hospitals are at risk of agitation. Physical restraint may be used to maintain patient and staff safety during de-escalation, but physical restraint use is associated with physical and psychological adverse events. OBJECTIVE: We sought to better understand which work system factors help clinicians prevent patient agitation, improve de-escalation, and avoid physical restraint. DESIGN, SETTING, AND PARTICIPANTS: We used directed content analysis to extend the Systems Engineering Initiative for Patient Safety model to clinicians working with children at risk for agitation at a freestanding children's hospital. INTERVENTION, MAIN OUTCOME, AND MEASURES: We conducted semistructured interviews to examine how five clinician work system factors affected patient agitation, de-escalation, and restraint: person, environment, tasks, technology and tools, and organization. Interviews were recorded, transcribed, and analyzed until saturation. RESULTS: Forty clinicians participated in this study, including 21 nurses, 15 psychiatric technicians, 2 pediatric physicians, 1 psychologist, and 1 behavior analyst. Work system factors that contributed to patient agitation were medical tasks like vital signs and the hospital environment including bright lights and neighboring patients' noises. Supports that helped clinicians de-escalate patients included adequate staffing and accessible toys and activities. Participants indicated that organizational factors were integral to team de-escalation, drawing connections between units' teamwork and communication cultures and their likelihood of successful de-escalation without the use of physical restraint. CONCLUSION: Clinicians perceived that medical tasks, hospital environmental factors, clinician attributes, and team communication influenced patients' agitation, de-escalation, and physical restraint. These work system factors provide opportunities for future multi-disciplinary interventions to reduce physical restraint use.

Agitation and aggression in people living with dementia and mild cognitive impairment in shared-housing arrangements - validation of a German version of the Cohen-Mansfield Agitation Inventory-Short Form (CMAI-SF).

BACKGROUND: The Cohen-Mansfield Agitation Inventory-Short Form (CMAI-SF) is a 14-item scale for assessing agitation and aggression, derived from the original 29-item CMAI, and completed by a proxy. Because the CMAI-SF has not yet been validated in German language, the aim of this study is to explore its construct validity. METHODS: Baseline data from a cluster-randomized trial to evaluate a non-pharmacological complex intervention for people living with dementia (PlwD) and mild cognitive impairment (MCI) were analyzed. The study sample consisted of 97 shared-housing arrangements (SHAs) in Germany, comprising N = 341 residents with mild to severe dementia and MCI. Trained nursing staff collected data by proxy-rating the CMAI-SF, Neuropsychiatric Inventory-Nursing Home Version (NPI-NH), and QUALIDEM. They also conducted the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA). RESULTS: In an exploratory factor analysis, three factors emerged: "aggressive behavior", "verbally agitated behavior", and "physically non-aggressive behavior". The CMAI-SF total score showed good internal consistency (α = .85), and the factors themselves showed adequate internal consistency (α = .75/.76/.73). The CMAI-SF showed convergent validity with the NPI-NH agitation item (r = .66) and the NPI-NH "agitation & restless behavior" factor (r = .82). Discriminant validity was confirmed by a low (r = .28) correlation with the NPI-NH apathy item. Quality of life decreased significantly with agitation, as the CMAI-SF showed a moderate negative correlation with the QUALIDEM total score (r = -.35). CONCLUSIONS: The 14-item CMAI-SF is a time-efficient, reliable, and valid assessment instrument. Three factors emerged that were similar to those already found in nursing home samples for the original CMAI and the CMAI-SF and in day care samples for the CMAI-SF. The findings provide preliminary evidence that the CMAI-SF can be used instead of the CMAI to reduce time, costs, and burden in future trials. TRIAL REGISTRATION: The DemWG study from which data were used to draft this manuscript was prospectively registered on 16 July 2019 at ISRCTN registry (ISRCTN89825211).

Factor Structure of the Agitated Behavior Scale in Traumatic Brain Injury During Posttraumatic Amnesia.

OBJECTIVE: To investigate the factor structure of the Agitated Behavior Scale (ABS) in patients with traumatic brain injury (TBI) in posttraumatic amnesia (PTA). SETTING: Inpatient TBI rehabilitation ward in Victoria, Australia. PARTICIPANTS: A total of 364 patients aged 16 to 92 years meeting diagnostic criteria for TBI and PTA admitted between September 2013 and October 2020. DESIGN: Retrospective cohort study utilizing electronic medical record data. MAIN MEASURES: The ABS and the Westmead Post-Traumatic Amnesia Scale (WPTAS). RESULTS: Exploratory factor analysis uncovered 2 moderately correlated underlying factors (0.52), labeled Restlessness and Aggression/Lability. Two items failed to demonstrate sufficiently large loadings on either factor. Both factors demonstrated adequate reliability (Cronbach α = 0.87 and 0.81 for Restlessness and Aggression/Lability, respectively). Linear regression indicated that higher WPTAS scores were associated with lower levels of Restlessness (ß = -.14, P < .001), supporting construct validity. Conversely, WPTAS scores were not significantly associated with Aggression/Lability (ß = -.12, P = .08). Subgroup analysis indicated that a history of mood disorder was associated with greater severity of Aggression/Lability (P = .02). Confirmatory factor analysis indicated superior fit of the identified 2-factor solution when compared with previously explored 1-, 2-, 3-, and 4-factor structures. CONCLUSION: This study suggests that the latent structure of the ABS is best explained by a single construct of agitation with 2 discrete facets reflecting Restlessness and Aggression/Lability. These subscales may be used in clinical practice to evaluate the severity of different aspects of agitated behavior, inform treatment decisions, and judge the efficacy of interventions over time. Further research is required to explain low factor loadings demonstrated by 2 items.

Agitation after traumatic brain injury: a review of current and future concepts in diagnosis and management.

OBJECTIVES: Agitation and aggression are common following traumatic brain injury. The challenges related to these disorders affect all stages of recovery, from the acute hospital to the community setting. The aim of this literature review is to provide an updated overview of the current state of post-traumatic agitation research. METHODS: We performed a PubMed literature review which included recent confirmatory and novel research as well as classic and historical studies to integrate past and future concepts. RESULTS: Areas explored include the personal and societal effects of post-traumatic agitation, methods for defining and diagnosing several neurobehavioral disorders, and pathophysiology and management of agitation and aggression. Target areas for future study are identified and discussed. DISCUSSION: While much progress has been made in understanding post-traumatic agitation, there remain several key areas that require further elucidation to support the care and treatment for people with traumatic brain injury.

Efficacy of different doses of intranasal dexmedetomidine in preventing emergence agitation in children with inhalational anaesthesia: A prospective randomised trial.

BACKGROUND: Emergence agitation is a common paediatric complication after inhalational anaesthesia. Intranasal dexmedetomidine can prevent emergence agitation effectively, but the optimal dose is uncertain. OBJECTIVE: The aim of our study was to investigate the 95% effective dose (ED 95 ) of intranasal dexmedetomidine for the prevention of emergence agitation after inhalational anaesthesia for paediatric ambulatory surgery. DESIGN: A prospective, randomised, placebo-controlled, double-blind, clinical trial. SETTING: The study was conducted in Guangzhou Women and Children's Medical Center in China from August 2017 to December 2018. PATIENTS: Three hundred and eighteen children scheduled for ambulatory surgery were enrolled into two age groups of less than 3 years and at least 3 years. INTERVENTIONS: The children in each age group were randomised into five equal subgroups to receive either intranasal dexmedetomidine 0.5, 1.0, 1.5 or 2.0 µg kg -1 (Groups D 0.5 , D 1.0 , D 1.5 and D 2.0 ), or intranasal isotonic saline (group C) after induction. MAIN OUTCOME MEASURES: The primary outcome was the ED 95 dose of intranasal dexmedetomidine for preventing emergence agitation after inhalational anaesthesia for paediatric ambulatory surgery. RESULTS: The incidences of emergence agitation for Groups C, D 0.5 , D 1.0 , D 1.5 and D 2.0 were 63, 40, 23, 13 and 3% in children less than 3 years, and 43, 27, 17, 7 and 3% in children at least 3 years. The ED 95 of intranasal dexmedetomidine for preventing emergence agitation was 1.99 µg kg -1 [95% confidence interval (CI), 1.83 to 3.80 µg kg -1 ] in children less than 3 years, and 1.78  µg kg -1 (95% CI, 0.93 to 4.29 µg kg -1 ) in children at least 3 years. LMA removal time for groups D 1.5 and D 2.0 was 9.6 ±â€Š2.2 and 9.7 ±â€Š2.5 min, respectively, for children less than 3 years, and 9.4 ±â€Š2.0 and 9.9 ±â€Š2.7 min in children at least 3 years, respectively. Length of stay in the postanaesthesia care unit for Groups D 1.5 and D 2.0 was 34.3 ±â€Š9.6 and 37.1 ±â€Š11.2 min, respectively, in children less than 3 years, and 34.7 ±â€Š10.2 and 37.3 ±â€Š8.3 min in children at least 3 years, respectively. These times were longer in the D 1.5 and D 2.0 subgroups than in the control subgroup in the two age groups of less than 3 years and at least 3 years, respectively: 7.2 ±â€Š1.9 min in children less than 3 years and 7.3 ±â€Š2.5 min in children at least 3 years for LMA removal time, 22.2 ±â€Š7.9 min in children less than 3 years and 22.0 ±â€Š7.7 min in children at least 3 years for PACU stay time in control subgroup, respectively ( P  < 0.05). CONCLUSION: Intranasal dexmedetomidine prevented emergence agitation after paediatric surgery in a dose-dependent manner. The optimal dose of intranasal dexmedetomidine for preventing emergence agitation was higher in younger children. TRIAL REGISTRY: chictr.org.cn: ChiCTR-IOR-17012415.

Reliability and Validity of a Chinese Version of the Cohen-Mansfield Agitation Inventory-Short Form in Assessing Agitated Behavior.

BACKGROUND: Patients with dementia often present agitated behaviors. The Cohen-Mansfield Agitation Inventory-short form (CMAI-SF) is one of the most widely used instruments to evaluate agitated behaviors that affect patients' quality of life and impose burden on caregivers. However, there is no simplified Chinese version of the CMAI-SF (C-CMAI-SF) in clinical settings. PURPOSE: This study aimed to develop a Chinese version of the C-CMAI-SF and examine its validity and reliability. METHODS: This cross-sectional study included three phases. In Phase I, the original CMAI-SF was translated to Chinese. In Phase II, experts were invited to examine the content validity index (CVI). Phase III was conducted to test the validity and reliability of the C-CMAI-SF. RESULTS: The scale showed good validity and reliability with a scale-level CVI of 0.89, Cronbach's alpha (measure of internal consistency) of 0.874, and test-retest correlation coefficient of 0.902 (for 257 individuals). Using factor analysis, three factors were identified. Regarding concurrent validity, the C-CMAI-SF score was correlated with the Neuropsychiatric Inventory (agitation aggression subscale) and the Cornell Scale for Depression in Dementia (agitation subscale). CONCLUSIONS: The study demonstrated that the C-CMAI-SF is a valid and reliable instrument for evaluating agitated behaviors in people with dementia. RELEVANCE TO CLINICAL PRACTICE: The C-CMAI-SF is an easy and quick tool used to identify and evaluate agitated behaviors in busy clinical settings.