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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 10 of 10 Research Studies DisplayedDullabh P, Leaphart D, Dhopeshwarkar R
Patient-centered clinical decision support-where are we and where to next?
This paper is a literature review of the current state of patient-centered clinical decision support (PC CDS) that includes digital health tools that support patients, caregivers, and care teams in healthcare decisions that incorporate patient-centered factors related to four components: knowledge, data, delivery, and use. It explores the current state of each factor and how each factor promotes patient-centeredness in healthcare. The authors reviewed 175 peer-reviewed and grey literature, and eighteen key informant interviews. They found there is a need for more research on how to incorporate patient input into the guideline selection and prioritization for PC CDS, development and implementation of PC CDS tools, technical challenges for capturing patient contributed data, and optimizing PC CDS across various settings to meet patient and caregiver needs.
AHRQ-funded; 233201500023I.
Citation: Dullabh P, Leaphart D, Dhopeshwarkar R .
Patient-centered clinical decision support-where are we and where to next?
Stud Health Technol Inform 2024 Jan 25; 310:444-48. doi: 10.3233/shti231004..
Keywords: Patient-Centered Healthcare, Clinical Decision Support (CDS), Health Information Technology (HIT)
Sittig DF, Boxwala A, Wright A
AHRQ Author: Swiger J, Lomotan EA
A lifecycle framework illustrates eight stages necessary for realizing the benefits of patient-centered clinical decision support.
The authors developed a patient-centered clinical decision support (PC CDS) lifecycle framework to promote a language for communication among researchers, patients, clinicians, and policymakers. The framework placed the patient and/or their caregiver at the center and its use could ensure that patients and the clinicians caring for them are explicitly involved at each stage.
AHRQ-authored; AHRQ-funded; 75Q80120D00018.
Citation: Sittig DF, Boxwala A, Wright A .
A lifecycle framework illustrates eight stages necessary for realizing the benefits of patient-centered clinical decision support.
J Am Med Inform Assoc 2023 Aug 18; 30(9):1583-89. doi: 10.1093/jamia/ocad122..
Keywords: Patient-Centered Healthcare, Clinical Decision Support (CDS), Health Information Technology (HIT)
Salloum RG, Bilello L, Bian J
Study protocol for a type III hybrid effectiveness-implementation trial to evaluate scaling interoperable clinical decision support for patient-centered chronic pain management in primary care.
The objective of this 3-year project is to study the adaptation and implementation of an existing interoperable clinical decision support (CDS) tool for pain treatment shared decision making, with tailored implementation support, in new clinical settings in the OneFlorida Clinical Research Consortium. The evaluation will be organized by the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework, with an adaptation and tailoring of PainManager, an open source interoperable CDS tool. It is anticipated that this evaluation will establish the feasibility and obtain preliminary data in preparation for a multi-site pragmatic trial targeting the effectiveness of PainManager and tailored implementation support on shared decision making and patient-reported pain and physical function.
AHRQ-funded; R18 HS028584.
Citation: Salloum RG, Bilello L, Bian J .
Study protocol for a type III hybrid effectiveness-implementation trial to evaluate scaling interoperable clinical decision support for patient-centered chronic pain management in primary care.
Implement Sci 2022 Jul 15;17(1):44. doi: 10.1186/s13012-022-01217-4..
Keywords: Clinical Decision Support (CDS), Pain, Chronic Conditions, Primary Care, Health Information Technology (HIT), Patient-Centered Outcomes Research, Patient-Centered Healthcare
Dullabh 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), 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), Decision Making, Patient-Centered Healthcare, Health Information Technology (HIT)
Dykes PC, Burns Z, Adelman J
Evaluation of a patient-centered fall-prevention tool kit to reduce falls and injuries: a nonrandomized controlled trial.
The purpose of this study was to assess whether a fall-prevention tool kit that engages patients and families in the fall-prevention process throughout hospitalization is associated with reduced falls and injurious falls. Findings showed that, in this nonrandomized controlled trial, implementation of a fall-prevention tool kit was associated with a significant reduction in falls and related injuries. A patient-care team partnership appeared to be beneficial for prevention of falls and fall-related injuries.
AHRQ-funded; HS023535.
Citation: Dykes PC, Burns Z, Adelman J .
Evaluation of a patient-centered fall-prevention tool kit to reduce falls and injuries: a nonrandomized controlled trial.
JAMA Netw Open 2020 Nov 2;3(11):e2025889. doi: 10.1001/jamanetworkopen.2020.25889..
Keywords: Falls, Injuries and Wounds, Prevention, Tools & Toolkits, Patient and Family Engagement, Patient-Centered Healthcare, Clinical Decision Support (CDS), Hospitalization, Hospitals
Richardson JE, Middleton B, Platt JE
Building and maintaining trust in clinical decision support: recommendations from the Patient-Centered CDS Learning Network.
Knowledge artifacts in digital repositories for clinical decision support (CDS) can promote the use of CDS in clinical practice. However, stakeholders will benefit from knowing which they can trust before adopting artifacts from knowledge repositories. In this paper, the investigators discuss their investigation into trust for knowledge artifacts and repositories by the Patient-Centered CDS Learning Network's Trust Framework Working Group (TFWG).
AHRQ-funded; HS024849.
Citation: Richardson JE, Middleton B, Platt JE .
Building and maintaining trust in clinical decision support: recommendations from the Patient-Centered CDS Learning Network.
Learn Health Syst 2020 Apr;4(2):e10208. doi: 10.1002/lrh2.10208.
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Keywords: Clinical Decision Support (CDS), Decision Making, Patient-Centered Healthcare, Patient-Centered Outcomes Research
Marcial LH, Blumenfeld B, Harle C
Barriers, facilitators, and potential solutions to advancing interoperable clinical decision support: multi-stakeholder consensus recommendations for the opioid use case.
These proceedings report on the AHRQ-sponsored Patient-Centered CDS Learning Network (PCCDS LN) Technical Framework Working Group (TechFWG), which was convened to identify barriers, facilitators, and potential solutions for interoperable clinical decision support, with a specific focus on addressing the opioid epidemic. The key insights were extrapolated to CDS-facilitated care improvement outside of the specific opioid use case. If applied broadly, the recommendations should help advance the availability and impact of interoperable CDS delivered at scale.
AHRQ-funded; HS024849.
Citation: Marcial LH, Blumenfeld B, Harle C .
Barriers, facilitators, and potential solutions to advancing interoperable clinical decision support: multi-stakeholder consensus recommendations for the opioid use case.
AMIA Annu Symp Proc 2020 Mar 4;2019:637-46..
Keywords: Clinical Decision Support (CDS), Decision Making, Opioids, Medication, Pain, Patient-Centered Healthcare, Patient-Centered Outcomes Research
Marcial LH, Richardson JE, Lasater B
AHRQ Author: Lomotan and Al-Showk
The imperative for patient-centered clinical decision support.
This commentary introduces the Patient-Centered Clinical Decision Support (PCCDS) Learning Network, which is collaborating with AcademyHealth to publish "Better Decisions Together" as part of eGEMs. The PCCDS Learning Network has developed a framework, referred to as the Analytic Framework for Action (AFA), to organize thinking and activities around PCCDS. A wide array of activities the PCCDS Learning Network is engaging in to inform and connect stakeholders is discussed.
AHRQ-authored.
Citation: Marcial LH, Richardson JE, Lasater B .
The imperative for patient-centered clinical decision support.
eGEMS 2018 May 30;6(1):12. doi: 10.5334/egems.259..
Keywords: Clinical Decision Support (CDS), Decision Making, Patient-Centered Healthcare
Panahiazar M, Taslimitehrani V, Pereira NL
Using EHRs for heart failure therapy recommendation using multidimensional patient similarity analytics.
The authors developed a multidimensional patient similarity assessment technique that leverages multiple types of information from the electronic health records and predicts a medication plan for each new patient based on prior knowledge and data from similar patients.Their findings suggest that it is feasible to harness population-based information for an individual patient-specific assessment.
AHRQ-funded; HS023077.
Citation: Panahiazar M, Taslimitehrani V, Pereira NL .
Using EHRs for heart failure therapy recommendation using multidimensional patient similarity analytics.
Stud Health Technol Inform 2015;210:369-73.
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Keywords: Clinical Decision Support (CDS), Data, Electronic Health Records (EHRs), Heart Disease and Health, Patient-Centered Healthcare