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Search All Research Studies
Topics
- Alcohol Use (1)
- Back Health and Pain (1)
- Chronic Conditions (1)
- Communication (1)
- Comparative Effectiveness (3)
- (-) Data (8)
- Elderly (1)
- Healthcare Cost and Utilization Project (HCUP) (1)
- (-) Outcomes (8)
- Patient-Centered Healthcare (1)
- Patient-Centered Outcomes Research (1)
- Research Methodologies (2)
- Shared Decision Making (1)
- Surgery (1)
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 8 of 8 Research Studies DisplayedShen NT, Salajegheh A, Brown RS
A call to standardize definitions, data collection, and outcome assessment to improve care in alcohol-related liver disease.
Alcohol-related liver disease (ALD) is highly prevalent and appears to be increasingly reported with worsening mortality; thus, optimizing care in this patient population is imperative. This requires a multidisciplinary, multifaceted approach that includes recognizing alcohol use disorder (AUD) and existing treatments for AUD. In this paper, the authors call for standardizing definitions, data collection, and outcome assessment to improve care in alcohol-related liver disease.
AHRQ-funded; HS000066.
Citation: Shen NT, Salajegheh A, Brown RS .
A call to standardize definitions, data collection, and outcome assessment to improve care in alcohol-related liver disease.
Hepatology 2019 Sep;70(3):1038-44. doi: 10.1002/hep.30587..
Keywords: Data, Alcohol Use, Outcomes
Arcia A, Woollen J, Bakken S
A systematic method for exploring data attributes in preparation for designing tailored infographics of patient reported outcomes.
Tailored visualizations of patient reported outcomes (PROs) are valuable health communication tools to support shared decision making, health self-management, and engagement with research participants, such as cohorts in the NIH Precision Medicine Initiative. The authors of the study present a systematic method to exploring data attributes, with a specific focus on application to self-reported health data. They present two case studies to illustrate how this method affected design decisions particularly with respect to outlier and non-missing zero values.
AHRQ-funded; HS019853; HS022961.
Citation: Arcia A, Woollen J, Bakken S .
A systematic method for exploring data attributes in preparation for designing tailored infographics of patient reported outcomes.
eGEMS 2018 Jan 24;6(1):2. doi: 10.5334/egems.190..
Keywords: Communication, Shared Decision Making, Patient-Centered Healthcare, Patient-Centered Outcomes Research, Outcomes, Data
Fu R, Holmer HK
Change score or follow-up score? Choice of mean difference estimates could impact meta-analysis conclusions.
This study assessed the impact of using change score vs. follow-up score on the conclusions of meta-analyses. It concluded that using the change vs. the follow-up score could lead to important discrepancies in conclusions. Sensitivity analyses should be conducted to check the robustness of results to the choice of mean difference estimates.
AHRQ-funded; 290200710057I.
Citation: Fu R, Holmer HK .
Change score or follow-up score? Choice of mean difference estimates could impact meta-analysis conclusions.
J Clin Epidemiol 2016 Aug;76:108-17. doi: 10.1016/j.jclinepi.2016.01.034.
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Keywords: Research Methodologies, Data, Outcomes
Deyo RA, Bryan M, Comstock BA
Trajectories of symptoms and function in older adults with low back disorders.
The researchers sought to determine whether there are distinct trajectories of back pain and function among older adults and to identify characteristics that distinguish among patients with substantially different prognoses. They found that, although most patients remained relatively stable over a year, latent class analysis identified small groups with major improvement in pain, function, or both.
AHRQ-funded; HS019222.
Citation: Deyo RA, Bryan M, Comstock BA .
Trajectories of symptoms and function in older adults with low back disorders.
Spine 2015 Sep 1;40(17):1352-62. doi: 10.1097/brs.0000000000000975.
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Keywords: Data, Elderly, Back Health and Pain, Chronic Conditions, Outcomes
Greenberg JK, Ladner TR, Olsen MA
Complications and resource use associated with surgery for Chiari Malformation type 1 in adults: a population perspective.
This study examined the complications and resource use associated with adult CM-1 surgery using administrative data. It concluded that complications after CM-1 surgery are common, and surgical complications are more frequent than medical complications. Also, certain comorbidities and demographic characteristics are associated with increased risk for complications.
AHRQ-funded; H0S19455.
Citation: Greenberg JK, Ladner TR, Olsen MA .
Complications and resource use associated with surgery for Chiari Malformation type 1 in adults: a population perspective.
Neurosurgery 2015 Aug;77(2):261-8. doi: 10.1227/neu.0000000000000777..
Keywords: Healthcare Cost and Utilization Project (HCUP), Surgery, Outcomes, Data
FitzHenry F, Resnic FS, Robbins SL
Creating a common data model for comparative effectiveness with the observational medical outcomes partnership.
This case study describes the challenges and opportunities of a study specific use of the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) by two health systems and describe three comparative effectiveness use cases developed from the CDM. It concluded that the data transformation to the CDM was time consuming and resources required were substantial, beyond requirements for collecting native source data.
AHRQ-funded; HS019913.
Citation: FitzHenry F, Resnic FS, Robbins SL .
Creating a common data model for comparative effectiveness with the observational medical outcomes partnership.
Appl Clin Inform 2015 Aug 26;6(3):536-47. doi: 10.4338/aci-2014-12-cr-0121..
Keywords: Comparative Effectiveness, Outcomes, Data
Li T, Vedula SS, Hadar N
Innovations in data collection, management, and archiving for systematic reviews.
The authors provide a step-by-step tutorial for collecting, managing, and archiving data for systematic reviews and suggest steps for developing rigorous data collection forms in the Systematic Review Data Repository to facilitate implementation of the methodological standards and expectations of the Institute of Medicine and other organizations.
AHRQ-funded; 290200710055I; 290201200012I.
Citation: Li T, Vedula SS, Hadar N .
Innovations in data collection, management, and archiving for systematic reviews.
Ann Intern Med. 2015 Feb 17;162(4):287-94. doi: 10.7326/M14-1603..
Keywords: Data, Comparative Effectiveness, Outcomes, Research Methodologies
Schmid CH, Trikalinos Olkin, I
Bayesian network meta-analysis for unordered categorical outcomes with incomplete data.
The researchers developed a Bayesian multinomial network meta-analysis model for unordered (nominal) categorical outcomes that allows for partially observed data in which exact event counts may not be known for each category. Their model properly accounts for correlations of counts in mutually exclusive categories and enables proper comparison and ranking of treatment effects across multiple treatments and multiple outcomes categories.
AHRQ-funded; HS018574.
Citation: Schmid CH, Trikalinos Olkin, I .
Bayesian network meta-analysis for unordered categorical outcomes with incomplete data.
Res Synth Methods 2014 Jun;5(2):162-85. doi: 10.1002/jrsm.1103..
Keywords: Comparative Effectiveness, Outcomes, Data