National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Brain Injury (1)
- Caregiving (2)
- Care Management (1)
- Chronic Conditions (2)
- Clinical Decision Support (CDS) (3)
- Decision Making (3)
- Dementia (5)
- Diagnostic Safety and Quality (1)
- Elderly (2)
- Electronic Health Records (EHRs) (3)
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- (-) Health Information Technology (HIT) (10)
- (-) Neurological Disorders (10)
- Patient Experience (1)
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- Quality of Life (1)
- Surgery (2)
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 10 of 10 Research Studies DisplayedJacobs M, Briley P, Ellis C
Quantifying experiences with telepractice for aphasia therapy: a text mining analysis of client response data.
The investigators’ goal was to use content analysis (CA) to measure posttreatment satisfaction with a telepractice approach for aphasia treatment. Seventeen persons with aphasia (PWA) received 12 treatment sessions over a 6-week period, after which CA was utilized to explore patient satisfaction with this treatment approach. The investigators concluded that their study demonstrated that CA can be an effective approach for determining satisfaction with aphasia treatment, particularly among PWA with limited verbal abilities.
AHRQ-funded; HS025043.
Citation: Jacobs M, Briley P, Ellis C .
Quantifying experiences with telepractice for aphasia therapy: a text mining analysis of client response data.
Semin Speech Lang 2020 Nov;41(5):414-32. doi: 10.1055/s-0040-1716887..
Keywords: Telehealth, Health Information Technology (HIT), Patient Experience, Neurological Disorders
Barnes DE, Zhou J, Walker RL
Development and validation of eRADAR: a tool using EHR Data to detect unrecognized dementia.
The goal of this retrospective cohort study was to develop and validate an electronic health record (EHR)-based tool to help detect patients with unrecognized dementia. The tool was named EHR Risk of Alzheimer’s and Dementia Assessment Rule (eRADAR). This study was conducted at Kaiser Permanente Washington (KPWA) using participants in the Adult Changes in Thought (ACT) study who undergo comprehensive testing every 2 years to detect and diagnose dementia and have linked KPWA EHR data. Overall, 1015 ACT visits resulted in a diagnosis of incident dementia, of which 49% were previously unrecognized in the EHR. The final 31-predictor model included markers of dementia-related symptoms, healthcare utilization patterns, and dementia risk factors. The study showed good discrimination in the development interval and validation samples.
AHRQ-funded; HS022982.
Citation: Barnes DE, Zhou J, Walker RL .
Development and validation of eRADAR: a tool using EHR Data to detect unrecognized dementia.
J Am Geriatr Soc 2020 Jan;68(1):103-11. doi: 10.1111/jgs.16182..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Dementia, Neurological Disorders, Diagnostic Safety and Quality, Clinical Decision Support (CDS), Decision Making
Simon KC, Reams N, Beltran E
Optimizing the electronic medical record to improve patient care and conduct quality improvement initiatives in a concussion specialty clinic.
The purpose of this study was to use the electronic medical record (EMR) to optimize patient care, facilitate documentation, and support quality improvement and practice-based research in a concussion (mild traumatic brain injury; mTBI) clinic. The investigators built a customized structured clinical documentation support (SCDS) toolkit for patients in a concussion specialty clinic. The toolkit collected hundreds of fields of discrete,
AHRQ-funded; HS024057.
Citation: Simon KC, Reams N, Beltran E .
Optimizing the electronic medical record to improve patient care and conduct quality improvement initiatives in a concussion specialty clinic.
Brain Inj 2020;34(1):62-67. doi: 10.1080/02699052.2019.1680867..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Brain Injury, Neurological Disorders
Wissel BD, Greiner TA, Holland-Bouley KD
Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery.
Delay to resective epilepsy surgery results in avoidable disease burden and increased risk of mortality. The objective of this study was to prospectively validate a natural language processing (NLP) application that uses provider notes to assign epilepsy surgery candidacy scores. The authors suggest that an electronic health record-integrated NLP application can accurately assign surgical candidacy scores to patients in a clinical setting.
AHRQ-funded; HS024977.
Citation: Wissel BD, Greiner TA, Holland-Bouley KD .
Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery.
Epilepsia 2020 Jan;61(1):39-48. doi: 10.1111/epi.16398..
Keywords: Neurological Disorders, Surgery, Health Information Technology (HIT), Clinical Decision Support (CDS), Decision Making
Dickerson LK, Rouhizadeh M, Korotkaya Y
Language impairment in adults with end-stage liver disease: application of natural language processing towards patient-generated health records.
This study examined the association between language and cognitive impairment in adults with end-stage liver disease (ESLD) and patients post-transplant where the impairments have resolved themselves. Patients showed great improvement after transplant, and the natural language processing (NLP) impairment can be used to detect cognitive impairment in ESLD.
AHRQ-funded; HS023876.
Citation: Dickerson LK, Rouhizadeh M, Korotkaya Y .
Language impairment in adults with end-stage liver disease: application of natural language processing towards patient-generated health records.
NPJ Digit Med 2019 Nov 4;2:106. doi: 10.1038/s41746-019-0179-9..
Keywords: Chronic Conditions, Neurological Disorders, Health Information Technology (HIT)
Possin KL, Merrilees JJ, Dulaney S
Effect of collaborative dementia care via telephone and internet on quality of life, caregiver well-being, and health care use: the Care Ecosystem randomized clinical trial.
Few health systems have adopted effective dementia care management programs. The Care Ecosystem is a model for delivering care from centralized hubs across broad geographic areas to caregivers and persons with dementia (PWDs) independently of their health system affiliations. The purpose of this study was to determine whether the Care Ecosystem was effective in improving outcomes important to PWDs, their caregivers, and payers beyond those achieved with usual care.
AHRQ-funded; HS022241.
Citation: Possin KL, Merrilees JJ, Dulaney S .
Effect of collaborative dementia care via telephone and internet on quality of life, caregiver well-being, and health care use: the Care Ecosystem randomized clinical trial.
JAMA Intern Med 2019 Sep 30;179(12):1658-67. doi: 10.1001/jamainternmed.2019.4101..
Keywords: Dementia, Neurological Disorders, Telehealth, Health Information Technology (HIT), Care Management, Healthcare Delivery, Caregiving, Quality of Life
Wissel BD, Greiner HM, Glauser TA
Investigation of bias in an epilepsy machine learning algorithm trained on physician notes.
Racial disparities in the utilization of epilepsy surgery are well documented, but it is unknown whether a natural language processing (NLP) algorithm trained on physician notes would produce biased recommendations for epilepsy presurgical evaluations. To assess this, an NLP algorithm was trained to identify potential surgical candidates using 1097 notes from 175 epilepsy patients with a history of resective epilepsy surgery and 268 patients who achieved seizure freedom without surgery (total N = 443 patients).
AHRQ-funded; HS024977.
Citation: Wissel BD, Greiner HM, Glauser TA .
Investigation of bias in an epilepsy machine learning algorithm trained on physician notes.
Epilepsia 2019 Sep;60(9):e93-e98. doi: 10.1111/epi.16320..
Keywords: Neurological Disorders, Surgery, Clinical Decision Support (CDS), Healthcare Utilization, Health Information Technology (HIT), Decision Making
Gillespie SM, Wasserman EB, Wood NE
High-intensity telemedicine reduces emergency department use by older adults with dementia in senior living communities.
Individuals with dementia have high rates of emergency department (ED) use for acute illnesses. In this study, the investigators evaluated the effect of a high-intensity telemedicine program that delivered care for acute illnesses on ED use rates for individuals with dementia residing in senior living communities (SLCs; independent and assisted living).
AHRQ-funded; HS018047.
Citation: Gillespie SM, Wasserman EB, Wood NE .
High-intensity telemedicine reduces emergency department use by older adults with dementia in senior living communities.
J Am Med Dir Assoc 2019 Aug;20(8):942-46. doi: 10.1016/j.jamda.2019.03.024..
Keywords: Elderly, Telehealth, Health Information Technology (HIT), Dementia, Neurological Disorders, Healthcare Delivery, Chronic Conditions, Emergency Department, Healthcare Utilization
Simon KC, Yucus C, Castle J
Building of EMR tools to support quality and research in a memory disorders clinic.
This article describes the development of a customized EMR toolkit that standardizes patient data collection with hundreds of discrete fields, supports Best Practices for treating patients with memory disorders, and also supports practice-based research. The toolkit was successfully implemented to support Best Practices in the care of patients with memory disorders. Applications are also discussed. Data collection is ongoing, but the authors anticipate that the toolkit will generate data that allows for descriptive and hypothesis-driven research as well as quality improvement among patients seen in memory clinics.
AHRQ-funded; HS024057.
Citation: Simon KC, Yucus C, Castle J .
Building of EMR tools to support quality and research in a memory disorders clinic.
Front Neurol 2019 Mar 7;10:161. doi: 10.3389/fneur.2019.00161..
Keywords: Dementia, Electronic Health Records (EHRs), Health Information Technology (HIT), Neurological Disorders, Quality of Care, Quality Improvement, Tools & Toolkits
Gaugler JE, Zmora R, Mitchell LL
Six-month effectiveness of remote activity monitoring for persons living with dementia and their family caregivers: an experimental mixed methods study.
This paper describes a pilot study conducted to evaluate the effectiveness of remote activity monitoring (RAM) for persons living with Alzheimer’s disease or a related dementia (ADRD) and their family caregivers. An experimental mixed methods study of 132 persons living with ADRD was conducted for six months. There were mixed results as the early months spent calibrating and modifying the RAM system was challenging for families. For families who care for ADRD patients with less severe cognitive impairment and difficulty navigating around the most there was a statistically significant increase in competence and self-sufficiency. However, it may not be as effective for patients with more severe cognitive impairment.
AHRQ-funded; HS022836.
Citation: Gaugler JE, Zmora R, Mitchell LL .
Six-month effectiveness of remote activity monitoring for persons living with dementia and their family caregivers: an experimental mixed methods study.
Gerontologist 2019 Jan 9;59(1):78-89. doi: 10.1093/geront/gny078..
Keywords: Caregiving, Dementia, Elderly, Health Information Technology (HIT), Neurological Disorders, Quality of Care, Quality Improvement