National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Cardiovascular Conditions (1)
- Clinical Decision Support (CDS) (3)
- (-) Decision Making (9)
- Dementia (4)
- Diagnostic Safety and Quality (3)
- Elderly (2)
- Electronic Health Records (EHRs) (1)
- Evidence-Based Practice (2)
- Guidelines (3)
- Healthcare Utilization (1)
- Health Information Technology (HIT) (3)
- Imaging (2)
- Long-Term Care (1)
- Medication (2)
- (-) Neurological Disorders (9)
- Nursing Homes (1)
- Patient-Centered Outcomes Research (2)
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- Provider (1)
- Provider: Physician (1)
- Racial and Ethnic Minorities (1)
- Stroke (1)
- Surgery (2)
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 9 of 9 Research Studies DisplayedRosenthal M, Poling J, Wec A
"Medication is just one piece of the whole puzzle": how nursing homes change their use of antipsychotic medications.
This article investigated health professionals’ experiences with decision-making during changes under the National Partnership to Improve Dementia Care in Nursing Homes and its companion coalitions. These programs were introduced in 2012 for the purpose of encouraging reductions in antipsychotic use and increasing use of nonpharmacological treatments for dementia. Interviews were conducted with 40 nursing home physicians and staff in seven states. The authors found that reducing antipsychotics is more time and resource-intensive than relying on medication. However, respondents supported reductions in antipsychotic use. They indicated that with supported staffing, effective communications, and training, they could create or implement individualized treatments.
AHRQ-funded; HS023464.
Citation: Rosenthal M, Poling J, Wec A .
"Medication is just one piece of the whole puzzle": how nursing homes change their use of antipsychotic medications.
J Appl Gerontol 2022 Jan;41(1):62-72. doi: 10.1177/0733464820958919..
Keywords: Elderly, Medication, Nursing Homes, Dementia, Neurological Disorders, Long-Term Care, Decision Making
Pinto D, Prabhakaran S, Tipton E
Why physicians prescribe prophylactic seizure medications after intracerebral hemorrhage: an adaptive conjoint analysis.
Seizures are a morbid complication of intracerebral hemorrhage (ICH) and increase the risk for herniation, status epilepticus, and worse patient outcomes. Prophylactic levetiracetam is administered to approximately 40% of patients with ICH. It is unclear which patients are consciously selected for treatment by physicians. In this study, the investigators sought to determine how patients are selected for treatment with prophylactic levetiracetam after ICH.
AHRQ-funded; HS023437.
Citation: Pinto D, Prabhakaran S, Tipton E .
Why physicians prescribe prophylactic seizure medications after intracerebral hemorrhage: an adaptive conjoint analysis.
J Stroke Cerebrovasc Dis 2020 Apr;29(4):104628. doi: 10.1016/j.jstrokecerebrovasdis.2019.104628..
Keywords: Neurological Disorders, Medication, Prevention, Cardiovascular Conditions, Stroke, Decision Making
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
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
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
Armstrong MJ, Gronseth GS, Day GS
Patient stakeholder versus physician preferences regarding amyloid PET testing.
Patient and caregiver perspectives on amyloid positron emission tomography (PET) use are largely unexplored, particularly as compared with clinician views. In this study, the investigators surveyed clinicians, patients, caregivers, and dementia advocates on topics relating to an evidence-based guideline on amyloid PET use. They found that patients and caregivers emphasized the importance of having a dementia diagnosis and placed more value on testing and outcomes for asymptomatic populations than clinicians.
AHRQ-funded; HS024159.
Citation: Armstrong MJ, Gronseth GS, Day GS .
Patient stakeholder versus physician preferences regarding amyloid PET testing.
Alzheimer Dis Assoc Disord 2019 Jul-Sep;33(3):246-53. doi: 10.1097/wad.0000000000000311..
Keywords: Decision Making, Dementia, Diagnostic Safety and Quality, Evidence-Based Practice, Guidelines, Imaging, Neurological Disorders, Patient-Centered Outcomes Research, Provider, Provider: Physician
Armstrong MJ
Developing the disorders of consciousness guideline and challenges of integrating shared decision-making into clinical practice.
The purpose of this study was to review methodology informing evidence-based guideline development and integration of guidelines into clinical care through shared decision-making (SDM) and to highlight challenges to SDM in disorders of consciousness. Recently published disorders of consciousness guideline recommendations provide strategies for clinicians to enhance quality care for these individuals and also to provide details helping clinicians partner with individuals with disorders of consciousness and their surrogates. Further research is recommended into many aspects of caring for individuals with disorders of consciousness and optimal strategies for partnering with surrogates in decision-making.
AHRQ-funded; HS024159.
Citation: Armstrong MJ .
Developing the disorders of consciousness guideline and challenges of integrating shared decision-making into clinical practice.
J Head Trauma Rehabil 2019 May/Jun;34(3):199-204. doi: 10.1097/htr.0000000000000496.
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Keywords: Decision Making, Guidelines, Evidence-Based Practice, Neurological Disorders, Patient-Centered Outcomes Research
Hong M, Casado BL, Lee SE
The intention to discuss advance care planning in the context of Alzheimer's disease among Korean Americans.
The authors examined the intention to discuss advance care planning (ACP) for a family member with Alzheimer's disease among Korean Americans. Path analyses were conducted on a cross-sectional convenience sample; age, gender, education, and knowledge about Alzheimer's disease and ACP were included as covariates. From their findings, the authors recommended promoting ACP among this population and designing educational interventions to address positive attitudes and subjective norms toward ACP.
AHRQ-funded; HS022947.
Citation: Hong M, Casado BL, Lee SE .
The intention to discuss advance care planning in the context of Alzheimer's disease among Korean Americans.
Gerontologist 2019 Mar 14;59(2):347-55. doi: 10.1093/geront/gnx211..
Keywords: Elderly, Dementia, Neurological Disorders, Decision Making, Racial and Ethnic Minorities
Callaghan BC, Kerber KA, Pace RJ
Headache neuroimaging: routine testing when guidelines recommend against them.
The aim of this article was to determine the patient-level factors associated with headache neuroimaging in outpatient practice. It concluded that neuroimaging is routinely ordered in outpatient headache patients including populations where guidelines specifically recommend against their use (migraines, chronic headaches, no red flags).
AHRQ-funded; HS017690.
Citation: Callaghan BC, Kerber KA, Pace RJ .
Headache neuroimaging: routine testing when guidelines recommend against them.
Cephalalgia 2015 Nov;35(13):1144-52. doi: 10.1177/0333102415572918.
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Keywords: Neurological Disorders, Imaging, Decision Making, Guidelines, Diagnostic Safety and Quality