National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Autism (1)
- Children/Adolescents (1)
- (-) Clinical Decision Support (CDS) (3)
- Decision Making (2)
- Diagnostic Safety and Quality (1)
- Domestic Violence (1)
- Evidence-Based Practice (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 3 of 3 Research Studies DisplayedGale BM, Hall KK
The use of patient monitoring systems to improve sepsis recognition and outcomes: a systematic review.
This systematic review’s aim was to determine the impact of automated patient monitoring systems (PMSs) on sepsis recognition and outcomes. The review was conducted using articles published from 2008 through 2018. Nineteen articles were identified for inclusion with 4 systematic reviews and 15 individual studies. Study results for outcome measures were mixed, with more than half the studies showing a significant improvement in at least one outcome measure (eg mortality, intensive care unit length of stay, ICU transfer). Evidence for process measure improvement was of moderate strength across multiple hospital units.
AHRQ-funded; 233201500013I.
Citation: Gale BM, Hall KK .
The use of patient monitoring systems to improve sepsis recognition and outcomes: a systematic review.
J Patient Saf 2020 Sep;16(3S Suppl 1):S8-s11. doi: 10.1097/pts.0000000000000750..
Keywords: Clinical Decision Support (CDS), Sepsis, Diagnostic Safety and Quality, Screening, Outcomes, Patient-Centered Outcomes Research, Evidence-Based Practice
Downs SM, Bauer NS, Saha C
Effect of a computer-based decision support intervention on autism spectrum disorder screening in pediatric primary care clinics: a cluster randomized clinical trial.
This study examined outcomes for implementation of a decision support system called CHICA (Child Health Improvement Through Computer Automation) to improve screening rates for autism in children aged 18 to 24 months. A random sample of 274 children in four urban clinics was used. Two clinics participated in the intervention, and two served as controls. Because participating clinics requested intervention be discontinued for children aged 18 months, only results for those aged 24 months was analyzed. Of the 263 children with reviewed results, 92% were enrolled in Medicaid, 52.5% were African American, and 36.5% were Hispanic. Screening rates increased from 0% at baseline to 100% in 24 months during the study period of November 2010 to November 2012. Screening results were positive for 265 of 980 children screened by CHICA in the time period, with 2 children from the intervention group positively diagnosed in the time frame of the study.
AHRQ-funded; HS018453.
Citation: Downs SM, Bauer NS, Saha C .
Effect of a computer-based decision support intervention on autism spectrum disorder screening in pediatric primary care clinics: a cluster randomized clinical trial.
JAMA Netw Open 2019 Dec 2;2(12):e1917676. doi: 10.1001/jamanetworkopen.2019.17676..
Keywords: Autism, Clinical Decision Support (CDS), Decision Making, Health Information Technology (HIT), Primary Care, Children/Adolescents, Screening
Gance-Cleveland B, Leiferman J, Aldrich H
Using the technology acceptance model to develop startsmart: mHealth for screening, brief intervention, and referral for risk and protective factors in pregnancy.
The purpose of this study was to develop StartSmart, a mobile health (mHealth) intervention to support evidence-based prenatal screening, brief intervention, and referral to treatment for risk and protective factors in pregnancy. Expert clinicians provided guidance on the screening instruments, resources, and practice guidelines. Clinicians suggested identifying specific prenatal visits for the screening. Patients reported that the tablet-based screening was useful to promote adherence to guidelines and provided suggestions for improvement.
AHRQ-funded; HS024738.
Citation: Gance-Cleveland B, Leiferman J, Aldrich H .
Using the technology acceptance model to develop startsmart: mHealth for screening, brief intervention, and referral for risk and protective factors in pregnancy.
J Midwifery Womens Health 2019 Sep;64(5):630-40. doi: 10.1111/jmwh.13009..
Keywords: Health Information Technology (HIT), Domestic Violence, Clinical Decision Support (CDS), Decision Making, Pregnancy, Women, Evidence-Based Practice, Screening, Prevention