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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.
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1 to 5 of 5 Research Studies DisplayedAspinall SL, Springer SP, Zhao X
Central nervous system medication burden and risk of recurrent serious falls and hip fractures in Veterans Affairs nursing home residents.
This study investigated the association between taking central nervous system (CNS) medications with the risk of serious falls and hip fractures. Study participants were residents at a Veterans Health Administration (VHA) Community Living Center (CLC) between July 1, 2005 and June 30, 2009. This was a nested case-control study. The investigators concluded that there was a higher risk in those residents receiving 3.0 or more daily CNS medications.
AHRQ-funded; HS023779.
Citation: Aspinall SL, Springer SP, Zhao X .
Central nervous system medication burden and risk of recurrent serious falls and hip fractures in Veterans Affairs nursing home residents.
J Am Geriatr Soc 2019 Jan;67(1):74-80. doi: 10.1111/jgs.15603..
Keywords: Elderly, Falls, Injuries and Wounds, Long-Term Care, Medication, Nursing Homes, Patient Safety, Risk
Noureldin M, Hass Z, Abrahamson K
Fall risk, supports and services, and falls following a nursing home discharge.
The purpose of this study was to examine whether the presence of supports and services have an impact on the relationship between fall-related risk factors and fall occurrence following a nursing-home discharge. The study sample was comprised of 1459 participants in the Minnesota Return to Community Initiative, who had been assisted in achieving a community discharge; 15 percent of participants fell within 30 days of nursing-home discharge. A structural equation model was used to determine relationship between emerging latent variables and falls. Results indicated that use of high-risk medications and fall concerns/history had a direct, positive effect on falling. Receiving supports/services did not have a direct effect on falls, but the authors note that it reduced the effect of high-risk medication use on falling.
AHRQ-funded; HS020224.
Citation: Noureldin M, Hass Z, Abrahamson K .
Fall risk, supports and services, and falls following a nursing home discharge.
Gerontologist 2018 Nov 3;58(6):1075-84. doi: 10.1093/geront/gnx133..
Keywords: Adverse Events, Elderly, Falls, Nursing Homes, Risk
Dore DD, Zullo AR, Mor V
Age, sex, and dose effects of nonbenzodiazepine hypnotics on hip fracture in nursing home residents.
This study examined the rate of hip fracture in nursing home residents prescribed nonbenzodiazepine hypnotics. A sample of nursing home residents was used and linked to Medicare and Minimum Data Set (2007-2008) data. The rate of hip fracture was higher in residents aged 90 and above, and lower in residents 70 or below. There was no different by sex.
AHRQ-funded; HS022998.
Citation: Dore DD, Zullo AR, Mor V .
Age, sex, and dose effects of nonbenzodiazepine hypnotics on hip fracture in nursing home residents.
J Am Med Dir Assoc 2018 Apr;19(4):328-32.e2. doi: 10.1016/j.jamda.2017.09.015..
Keywords: Injuries and Wounds, Medication, Nursing Homes, Long-Term Care, Adverse Drug Events (ADE), Adverse Events, Falls, Risk, Patient Safety
Cary MP, Hall RK, Anderson AL
Management team perceptions of risks and strategies for preventing falls among short-stay patients in nursing homes.
This study sought to understand and describe strategies reported by members of the nursing home management team used to prevent falls in short-stay nursing home patients. The authors propose interventions that might reduce falls for short-stay patients and could be tested in future research.
AHRQ-funded; HS022134.
Citation: Cary MP, Hall RK, Anderson AL .
Management team perceptions of risks and strategies for preventing falls among short-stay patients in nursing homes.
Health Care Manag 2018 Jan/Mar;37(1):76-85. doi: 10.1097/hcm.0000000000000192..
Keywords: Falls, Nursing Homes, Prevention, Provider, Risk
Marier A, Olsho LE, Rhodes W
AHRQ Author: Spector WD
Improving prediction of fall risk among nursing home residents using electronic medical records.
To identify individuals at highest risk for falls, the authors applied a repeated events survival model to analyze The Minimum Data Set ( MDS 3.0 and EMR data for 5129 residents in 13 nursing homes within a single large California chain. They found that incorporating EMR data improves ability to identify those at highest risk for falls relative to prediction using MDS data alone.
AHRQ-funded; AHRQ-authored; 290201000031I.
Citation: Marier A, Olsho LE, Rhodes W .
Improving prediction of fall risk among nursing home residents using electronic medical records.
J Am Med Inform Assoc 2016 Mar;23(2):276-82. doi: 10.1093/jamia/ocv061..
Keywords: Falls, Electronic Health Records (EHRs), Risk, Nursing Homes, Prevention