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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 4 of 4 Research Studies DisplayedLewis CC, Powell BJ, Brewer SK
Advancing mechanisms of implementation to accelerate sustainable evidence-based practice integration: protocol for generating a research agenda.
This article outlines the protocol for an AHRQ-funded initiative to: 1) establish priorities for an agenda to guide research on implementation mechanisms in health and public health, and 2) disseminate the agenda to research, policy, and practice audiences. The goal is to advance mechanisms of implementation to accelerate sustainable evidence-based practice integration. A network of scientific experts will be created to convene in “Deep Dive” meetings for 3 years. The research agenda will be generated through analysis and synthesis of information from 6 sources: (1) systematic reviews, (2) network members' approaches to studying mechanisms, (3) new proposals presented in implementation proposal feedback sessions, (4) working group sessions conducted in a leading implementation research training institute, (5) breakout sessions at the Society for Implementation Research Collaboration's (SIRC) 2019 conference and (6) SIRC conference abstracts. Mechanism-relevant text segments will be extracted by two members and a third member will generate statements as an input for concept mapping.
AHRQ-funded; HS025632.
Citation: Lewis CC, Powell BJ, Brewer SK .
Advancing mechanisms of implementation to accelerate sustainable evidence-based practice integration: protocol for generating a research agenda.
BMJ Open 2021 Oct 18;11(10):e053474. doi: 10.1136/bmjopen-2021-053474..
Keywords: Implementation, Evidence-Based Practice, Research Methodologies, Health Services Research (HSR)
Sood E, Wysocki T, Alderfer MA
Topical review: crowdsourcing as a novel approach to qualitative research.
The purpose of this paper was to describe a novel, five-phase approach to collecting qualitative data from hard-to-reach populations using crowdsourcing methods. The phases of crowdsourcing methodology described were: (I) Preparing; (II) Forming Crowds; (III) Collecting Crowdsourced Data; (IV) Coding and Analyzing Crowdsourced Data; and (V) Generating and Disseminating Findings. The investigators concluded that crowdsourcing is an innovative, efficient, feasible, and timely approach to engaging hard-to-reach populations in qualitative research.
AHRQ-funded; HS026393.
Citation: Sood E, Wysocki T, Alderfer MA .
Topical review: crowdsourcing as a novel approach to qualitative research.
J Pediatr Psychol 2021 Feb 19;46(2):189-96. doi: 10.1093/jpepsy/jsaa096..
Keywords: Health Services Research (HSR), Research Methodologies
Rodriguez PJ, Ward ZJ, Long MW
Applied methods for estimating transition probabilities from electronic health record data.
This study examined the usefulness of electronic health records (EHRs) in estimating transition probabilities for state-transition models. No guidelines exist on appropriate methods. The authors used 3 potential methods to estimate transition probabilities for EHR data, using pediatric eating disorders (EDs) as a case study. They mapped diagnoses to 3 ED health states: anorexia nervous, bulimia nervosa, and other specified feeding or eating disorder using data from PEDsnet, which includes 8 US children’s hospitals. They used 3 approaches: simple first-last proportions, a multistate Markov (MSM) model, and independent survival models. The first-last proportion approach estimated higher probabilities of remaining the same health state, while the other two approaches estimated higher probabilities of transitioning to a different health state. Published literature differed substantially from these estimates. Further research is needed to improve methods for using EHR data to inform transition probabilities.
AHRQ-funded; HS013853.
Citation: Rodriguez PJ, Ward ZJ, Long MW .
Applied methods for estimating transition probabilities from electronic health record data.
Med Decis Making 2021 Feb;41(2):143-52. doi: 10.1177/0272989x20985752..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Health Services Research (HSR), Research Methodologies
Shu D, Han P, Wang R, Toh S. D, Han P, Wang R
Estimating the marginal hazard ratio by simultaneously using a set of propensity score models: a multiply robust approach.
The inverse probability weighted Cox model is frequently used to estimate the marginal hazard ratio. Its validity requires a crucial condition that the propensity score model be correctly specified. To provide protection against misspecification of the propensity score model, the investigators proposed a weighted estimation method rooted in the empirical likelihood theory. They applied the proposed method to compare the risk of postoperative hospitalization between sleeve gastrectomy and Roux-en-Y gastric bypass using data from a large medical claims and billing database.
AHRQ-funded; HS026214.
Citation: Shu D, Han P, Wang R, Toh S. D, Han P, Wang R .
Estimating the marginal hazard ratio by simultaneously using a set of propensity score models: a multiply robust approach.
Stat Med 2021 Feb;40(5):1224-42. doi: 10.1002/sim.8837..
Keywords: Research Methodologies, Health Services Research (HSR)