National Healthcare Quality and Disparities Report
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Topics
- Community-Acquired Infections (1)
- (-) Elderly (5)
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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 5 of 5 Research Studies DisplayedMin SH, Song J, Evans L
Home healthcare patients with distinct psychological, cognitive, and behavioral symptom profiles and at-risk subgroup for hospitalization and emergency department visits using latent class analysis.
The purpose of this study was to explore subgroups of older adults receiving home healthcare services with similar psychological, cognitive, and behavioral symptom profiles and an at-risk subgroup for future hospitalization and emergency department visits as an indicator of underdiagnosis or undertreatment. The three-class model applied in the study consisted of Class 1: "Moderate psychological symptoms without behavioral issues," Class 2: "Severe psychological symptoms with behavioral issues," and Class 3: "Mild psychological symptoms without behavioral issues." The study found that Class 1 patients had 1.14 higher odds and Class 2 patients had 1.26 higher odds of being hospitalized or visiting emergency departments compared to Class 3. The researchers discovered significant differences in individual characteristics such as age, gender, race/ethnicity, and insurance.
AHRQ-funded; HS027742.
Citation: Min SH, Song J, Evans L .
Home healthcare patients with distinct psychological, cognitive, and behavioral symptom profiles and at-risk subgroup for hospitalization and emergency department visits using latent class analysis.
Clin Nurs Res 2023 Sep; 32(7):1021-30. doi: 10.1177/10547738231183026..
Keywords: Home Healthcare, Emergency Department, Hospitalization, Elderly
Topaz M, Woo K, Ryvicker M
Home healthcare clinical notes predict patient hospitalization and emergency department visits.
About 30% of home healthcare patients are hospitalized or visit an emergency department (ED) during a home healthcare (HHC) episode. Novel data science methods are increasingly used to improve identification of patients at risk for negative outcomes. The aim of the study was to identify patients at heightened risk hospitalization or ED visits using HHC narrative data (clinical notes).
AHRQ-funded; HS027742.
Citation: Topaz M, Woo K, Ryvicker M .
Home healthcare clinical notes predict patient hospitalization and emergency department visits.
Nurs Res 2020 Nov/Dec;69(6):448-54. doi: 10.1097/nnr.0000000000000470..
Keywords: Elderly, Home Healthcare, Emergency Department, Hospitalization, Risk, Electronic Health Records (EHRs), Health Information Technology (HIT)
Dresden SM, Lo AX, Lindquist LA
The impact of Geriatric Emergency Department Innovations (GEDI) on health services use, health related quality of life, and costs: protocol for a randomized controlled trial.
The objective of this randomized controlled trial is to evaluate the efficacy of the Geriatric Emergency Department Innovations (GEDI) program, an ED nurse-led geriatric assessment and care coordination program, in decreasing unnecessary health services use and improving Health-Related Quality-of-Life (HRQoL) for older adults in the ED. Community-dwelling older adults aged 65 and older who are vulnerable or frail according to the Clinical Frailty Scale during an ED visit will be randomized to either GEDI or to usual ED care. The primary outcome is hospitalization or death within 30 days of the ED visit. Secondary outcomes include health service use outcomes, healthcare costs, and HRQoL outcomes.
AHRQ-funded; HS026489.
Citation: Dresden SM, Lo AX, Lindquist LA .
The impact of Geriatric Emergency Department Innovations (GEDI) on health services use, health related quality of life, and costs: protocol for a randomized controlled trial.
Contemp Clin Trials 2020 Oct;97:106125. doi: 10.1016/j.cct.2020.106125..
Keywords: Elderly, Emergency Department, Quality of Life, Hospitalization, Hospital Discharge
Shang J, Russell D, Dowding D
A predictive risk model for infection-related hospitalization among home healthcare patients.
Infection prevention is a high priority for home healthcare (HHC), but tools are lacking to identify patients at highest risk of developing infections. The purpose of this study was to develop and test a predictive risk model to identify HHC patients at risk of an infection-related hospitalization or emergency department visit. A nonexperimental study using secondary data was conducted.
AHRQ-funded; HS024723.
Citation: Shang J, Russell D, Dowding D .
A predictive risk model for infection-related hospitalization among home healthcare patients.
J Healthc Qual 2020 May/Jun;42(3):136-47. doi: 10.1097/jhq.0000000000000214..
Keywords: Elderly, Home Healthcare, Infectious Diseases, Community-Acquired Infections, Risk, Hospitalization, Emergency Department
Haber SG, Wensky SG, McCall NT
Reducing inpatient hospital and emergency room utilization among nursing home residents.
This study examined the association among nursing home residents between strength of relationship with a primary care provider (PCP) and inpatient hospital and emergency room (ER) utilization. Both measures of strength of patient-provider relationships were associated with fewer inpatient admissions and ER visits, except regularity of PCP visits and ambulatory care sensitive conditions (ACSC) ER visits.
AHRQ-funded; HS000029.
Citation: Haber SG, Wensky SG, McCall NT .
Reducing inpatient hospital and emergency room utilization among nursing home residents.
J Aging Health 2017 Apr;29(3):510-30. doi: 10.1177/0898264316641074.
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Keywords: Elderly, Emergency Department, Hospitalization, Nursing Homes, Primary Care