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Search All Research Studies
Topics
- Brain Injury (1)
- Caregiving (1)
- Clinical Decision Support (CDS) (2)
- Clinician-Patient Communication (1)
- Communication (1)
- Data (1)
- Elderly (1)
- Electronic Health Records (EHRs) (1)
- Emergency Department (2)
- Evidence-Based Practice (1)
- (-) Health Information Technology (HIT) (7)
- (-) Patient-Centered Healthcare (7)
- Patient-Centered Outcomes Research (2)
- (-) Shared Decision Making (7)
- Transplantation (1)
- Web-Based (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 7 of 7 Research Studies DisplayedDullabh P, Sandberg SF, Heaney-Huls K
AHRQ Author: Berliner E, Dymek C, Harrison MI, Swiger J
Challenges and opportunities for advancing patient-centered clinical decision support: findings from a horizon scan.
This AHRQ-authored horizon scan identified challenges and opportunities for advancing patient-centered clinical decision support (PC CDS) and future directions for PC CDS. The authors engaged a technical expert panel, conducted a scoping literature review, and interviewed key informants. They quantitatively analyzed literature and interview transcripts and mapped the findings to the 4 phases translating evidence into PC CDS interventions (Prioritizing, Authoring, Implementing, and Measuring) and to external factors. Twelve challenges were identified for PC CDS development with lack of patient input identified as a critical challenge. Lack of patient-centered terminology standards was viewed as a challenge in authoring PC CDS. They also found a dearth of CDS studies that measured clinical outcomes, creating significant gaps in the understanding of PC CDS’ impact.
AHRQ-authored; AHRQ-funded; 233201500023I.
Citation: Dullabh P, Sandberg SF, Heaney-Huls K .
Challenges and opportunities for advancing patient-centered clinical decision support: findings from a horizon scan.
J Am Med Inform Assoc 2022 Jun 14;29(7):1233-43. doi: 10.1093/jamia/ocac059.
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Keywords: Clinical Decision Support (CDS), Patient-Centered Healthcare, Health Information Technology (HIT), Shared Decision Making, Patient-Centered Outcomes Research, Evidence-Based Practice
Dullabh P, Heaney-Huls K, Lobach DF
AHRQ Author: Lomotan E, Swiger J, Harrison MI, Dymek C
The technical landscape for patient-centered CDS: progress, gaps, and challenges.
The purpose of this study was to evaluate the technical landscape for patient-centered clinical decision support (PC CDS) methods to assess the gaps in making PC CDS more standard-based, publicly available, and with greater shareability. The researchers utilized qualitative data from a literature review, a panel of technical experts, and interviews with 18 CDS stakeholders to identify 7 technical considerations that span 5 phases of the development of PC CDS. The authors concluded that while there has been progress in the technical landscape, the field of CDS must focus on improving a number of CDS methods and processes, including standards for translating clinical guidelines into patient-centered clinical decision support, procedures to collect, standardize, and incorporate health data generated by patients, and other CDS processes.
AHRQ-authored; AHRQ-funded; 233201500023I.
Citation: Dullabh P, Heaney-Huls K, Lobach DF .
The technical landscape for patient-centered CDS: progress, gaps, and challenges.
J Am Med Inform Assoc 2022 May 11;29(6):1101-05. doi: 10.1093/jamia/ocac029..
Keywords: Clinical Decision Support (CDS), Shared Decision Making, Patient-Centered Healthcare, Health Information Technology (HIT)
Chartash D, Sharifi M, Emerson B
Documentation of shared decisionmaking in the emergency department.
Patient-centered communication and shared decision making is a vital element of clinical practice, but little is known about its impact or value in the emergency department (ED) setting. The researchers of this study developed a natural language processing tool using regular expressions to identify shared decision making, patient-centered communications, and to describe visit-, site-, and temporal-level patterns within a large health system. The study took place in two parts: part 1 was the development and validation of the natural language processing tool, and part 2 was a retrospective analysis of shared decision making and patient discussion using the processing tool to assess ED physician and advanced practitioner documentation from 2013 to 2020. Compared to chart review of 600 ED notes, the accuracy rates of the natural language processing tool were 96.7% and 88.9% respectively. Between 2013 to 2020 the researchers observed greater likelihood of shared decision-making documentation among physicians vs advanced practice providers, higher likelihood among female vs male patients, and lower likelihood of shared decision-making in Black patients compared with White patients. The researchers also found that patient discussion and shared decision-making were associated with higher levels of commercial insurance status and level of triage. The study concluded that a natural language processing tool was developed, validated, and utilized to identify incidences of shared decision making from ED documentation, with the researchers finding multiple possible factors which contribute to variation in shared decision making.
AHRQ-funded; HS025701.
Citation: Chartash D, Sharifi M, Emerson B .
Documentation of shared decisionmaking in the emergency department.
Ann Emerg Med 2021 Nov;78(5):637-49. doi: 10.1016/j.annemergmed.2021.04.038..
Keywords: Shared Decision Making, Emergency Department, Patient-Centered Healthcare, Electronic Health Records (EHRs), Health Information Technology (HIT)
Chu S, Bruin MJ, McKinney WT
Design of a patient-centered decision support tool when selecting an organ transplant center.
Patients in the US in need of a life-saving organ transplant must complete a long process of medical decisions, and a first step is to identify a transplant center to complete an evaluation. This study described a patient-centered process of testing and refinement of a new website (www.transplantcentersearch.org) that was developed to provide data to patients who are seeking a transplant center.
AHRQ-funded; HS026379; HS024527.
Citation: Chu S, Bruin MJ, McKinney WT .
Design of a patient-centered decision support tool when selecting an organ transplant center.
PLoS One 2021 May 17;16(5):e0251102. doi: 10.1371/journal.pone.0251102..
Keywords: Transplantation, Patient-Centered Healthcare, Shared Decision Making, Health Information Technology (HIT)
Quintana Y, Crotty B, Fahy D
Information sharing across generations and environments (InfoSAGE): study design and methodology protocol.
This open prospective cohort study aimed to assess a novel, Internet based, family-centric communication and collaboration platform created to address the information needs of elders and their informal caregivers in a community setting. It used a mixed methods approach, utilizing qualitative survey data along with website usage analytic data.
AHRQ-funded; HS021495.
Citation: Quintana Y, Crotty B, Fahy D .
Information sharing across generations and environments (InfoSAGE): study design and methodology protocol.
BMC Med Inform Decis Mak 2018 Nov 20;18(1):105. doi: 10.1186/s12911-018-0697-4.
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BMC Med Inform Decis Mak 2018 Nov 20;18(1):105. doi: 10.1186/s12911-018-0697-4.
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Keywords: Caregiving, Communication, Shared Decision Making, Elderly, Health Information Technology (HIT), Patient-Centered Healthcare, Clinician-Patient Communication, Web-Based
Melnick ER, Hess EP, Guo G
Patient-centered decision support: formative usability evaluation of integrated clinical decision support with a patient decision aid for minor head injury in the emergency department.
The study’s objective was to formatively evaluate an electronic tool that not only helps clinicians at the bedside to determine the need for CT use based on the Canadian CT Head Rule but also promotes evidence-based conversations between patients and clinicians regarding patient-specific risk and patients' specific concerns. It concluded that the Concussion or Brain Bleed app is a useful and usable final product integrating clinical decision support with a patient decision aid.
AHRQ-funded; HS021271.
Citation: Melnick ER, Hess EP, Guo G .
Patient-centered decision support: formative usability evaluation of integrated clinical decision support with a patient decision aid for minor head injury in the emergency department.
J Med Internet Res 2017 May 19;19(5):e174. doi: 10.2196/jmir.7846.
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Keywords: Brain Injury, Shared Decision Making, Emergency Department, Health Information Technology (HIT), Patient-Centered Healthcare
LeRouge C, Hasselquist MB, Kellogg L
Using heuristic evaluation to enhance the visual display of a provider dashboard for patient-reported outcomes.
A human-centered design (HCD) approach to understanding the data visualization needs for patient-reported outcomes (PRO) in clinical practice can optimize the visual design of an interactive PRO system. Beyond iterative methods, the authors explored the additive value of other HCD methods such as heuristic evaluation. Their evaluation led to several recommendations to improve the display, accessibility, and interpretability of the dashboard’s data.
AHRQ-funded; HS023785.
Citation: LeRouge C, Hasselquist MB, Kellogg L .
Using heuristic evaluation to enhance the visual display of a provider dashboard for patient-reported outcomes.
eGEMS 2017 Apr 20;5(2):Article 6. doi: 10.13063/2327-9214.1283.
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Keywords: Patient-Centered Healthcare, Patient-Centered Outcomes Research, Health Information Technology (HIT), Data, Shared Decision Making