National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Arthritis (1)
- Catheter-Associated Urinary Tract Infection (CAUTI) (1)
- Chronic Conditions (1)
- Clinical Decision Support (CDS) (5)
- Comparative Effectiveness (2)
- Decision Making (3)
- Electronic Health Records (EHRs) (1)
- Evidence-Based Practice (2)
- Healthcare-Associated Infections (HAIs) (1)
- (-) Health Information Technology (HIT) (10)
- Nursing (1)
- Orthopedics (1)
- Outcomes (1)
- Pain (1)
- Patient-Centered Healthcare (3)
- (-) Patient-Centered Outcomes Research (10)
- Primary Care (1)
- Provider: Pharmacist (1)
- Rehabilitation (1)
- Urinary Tract Infection (UTI) (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 10 of 10 Research Studies DisplayedSalloum 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, Hovey L
The technology landscape of patient-centered clinical decision support - where are we and what is needed?
This paper explores the technology landscape for patient-centered clinical decision support (PC CDS) and what has come out of Patient Centered Outcomes Research (PCOR) and health care delivery system transformation efforts. The authors explore what is needed to make it more shareable, standards-based, and publicly available with the goal of improving patient care and clinical outcomes. Three sources of information were used: (1) a 22-member technical expert panel; (2) a literature review of peer-reviewed and grey literature; and (3) key informant interviews with PC CDS stakeholders. Ten salient technical considerations that span all phases of PC CDS development were identified. Although significant progress has been made, challenges remain.
AHRQ-funded; 233201500023I.
Citation: Dullabh P, Heaney-Huls K, Hovey L .
The technology landscape of patient-centered clinical decision support - where are we and what is needed?
Stud Health Technol Inform 2022 Jun 6;290:350-53. doi: 10.3233/shti220094..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Patient-Centered Outcomes Research, Decision Making
Keeney T, Kumar A, Erler KS
Making the case for patient-reported outcome measures in big-data rehabilitation research: implications for optimizing patient-centered care.
This article discussed the potential of patient-reported outcome measures (PROMs) to transform clinical practice. It also provided examples of health systems that use PROMs to guide care and identified barriers to aggregating data from PROMs in conducting health services research. The authors proposed two priority areas which could help advance rehabilitation health services research: standardization of collecting PROMs data in electronic health records and increased partnerships between rehabilitation providers, researchers, and payors.
AHRQ-funded; HS000011.
Citation: Keeney T, Kumar A, Erler KS .
Making the case for patient-reported outcome measures in big-data rehabilitation research: implications for optimizing patient-centered care.
Arch Phys Med Rehabil 2022 May; 103(5s):S140-s45. doi: 10.1016/j.apmr.2020.12.028..
Keywords: Rehabilitation, Patient-Centered Healthcare, Patient-Centered Outcomes Research, Health Information Technology (HIT), Outcomes
Adeoye-Olatunde OA, Curran GM, Jaynes HA
Preparing for the spread of patient-reported outcome (PRO) data collection from primary care to community pharmacy: a mixed-methods study.
This study’s aim was to prepare for implementation of PatientToc™, a patient-reported outcomes (PRO) data collection software that can be used to help facilitate resolution of non-adherence to medications. The study was a two-phase operation, but this report focuses on the phase of the evaluation which was conducted at primary care practices currently using PatientToc™ and community pharmacies in Indiana, Wisconsin, and Minnesota. One-day site visits were conducted along with observations, audio-recorded contextual inquires, semi-structured interviews with staff and patients, and post-visit site observation debriefs. Nine pharmacies, two primary care practices, and 89 individuals participated. Four major barriers, four major facilitators and 14 recommendations were identified. A stakeholder panel engaged in four Evidence-Based Quality Improvement (EBQI) implementation process sessions. The panel confirmed findings and designated high priority recommendations which included: explaining PatientToc™ and its benefits clearly and simply to patients, ensuring patients can complete questionnaires within 10 minutes, providing hands-on training/resources for pharmacy teams, and providing feedback on the adapted PatientToc™ application, and finalizing toolkit items for initial community pharmacy implementation.
AHRQ-funded; HS025943.
Citation: Adeoye-Olatunde OA, Curran GM, Jaynes HA .
Preparing for the spread of patient-reported outcome (PRO) data collection from primary care to community pharmacy: a mixed-methods study.
Implement Sci Commun 2022 Mar 14;3(1):29. doi: 10.1186/s43058-022-00277-3..
Keywords: Provider: Pharmacist, Health Information Technology (HIT), Patient-Centered Outcomes Research
Lin E, Uhler LM, Finley EP
Incorporating patient-reported outcomes into shared decision-making in the management of patients with osteoarthritis of the knee: a hybrid effectiveness-implementation study protocol.
This article describes a US-based 2-year, two-site hybrid type 1 study to assess clinical effectiveness and implementation of a machine learning-based patient decision aid integrating patient-reported outcomes and clinical variables to support shared decision-making for patients with knee osteoarthritis considering total knee replacement. Study results will be disseminated through conference presentations, publications and professional societies.
AHRQ-funded; HS027037.
Citation: Lin E, Uhler LM, Finley EP .
Incorporating patient-reported outcomes into shared decision-making in the management of patients with osteoarthritis of the knee: a hybrid effectiveness-implementation study protocol.
BMJ Open 2022 Feb 21;12(2):e055933. doi: 10.1136/bmjopen-2021-055933..
Keywords: Clinical Decision Support (CDS), Decision Making, Arthritis, Patient-Centered Outcomes Research, Orthopedics, Health Information Technology (HIT), Evidence-Based Practice
Douthit BJ, Walden RL, Cato K
Data science trends relevant to nursing practice: a rapid review of the 2020 literature.
This study’s objective was to summarize the latest research and applications of nursing-relevant patient outcomes and clinical processes in the data science literature. Numerous contemporary data science methods were represented in the literature including the use of machine learning, neural networks, and natural language processing. This review provides an overview of the data science trends that were relevant to nursing practice in 2020.
AHRQ-funded; HS026395.
Citation: Douthit BJ, Walden RL, Cato K .
Data science trends relevant to nursing practice: a rapid review of the 2020 literature.
Appl Clin Inform 2022 Jan;13(1):161-79. doi: 10.1055/s-0041-1742218..
Keywords: Nursing, Health Information Technology (HIT), Patient-Centered Outcomes Research
Baillie CA, Epps M, Hanish A
Usability and impact of a computerized clinical decision support intervention designed to reduce urinary catheter utilization and catheter-associated urinary tract infections.
The researchers evaluated the usability and effectiveness of a computerized clinical decision support (CDS) intervention aimed at reducing the duration of urinary tract catheterizations. They found that usability improved to 15% with the revised reminder. The catheter utilization ratio declined over the 3 time periods, as did CAUTIs per 1,000 patient-days. They concluded that the usability of the reminder was highly dependent on its user interface, with a homegrown version of the reminder resulting in higher impact than a stock reminder.
AHRQ-funded; HS016946.
Citation: Baillie CA, Epps M, Hanish A .
Usability and impact of a computerized clinical decision support intervention designed to reduce urinary catheter utilization and catheter-associated urinary tract infections.
Infect Control Hosp Epidemiol 2014 Sep;35(9):1147-55. doi: 10.1086/677630.
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Keywords: Catheter-Associated Urinary Tract Infection (CAUTI), Clinical Decision Support (CDS), Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare-Associated Infections (HAIs), Patient-Centered Outcomes Research, Urinary Tract Infection (UTI)
McGlynn EA, Lieu TA, Durham ML
Developing a data infrastructure for a learning health system: the PORTAL network.
The authors describe the Patient Outcomes Research To Advance Learning (PORTAL) network established by Kaiser Permanente and three other healthcare delivery systems. They discuss how PORTAL is enhancing its current capabilities by expanding the scope of the common data model and integrating the PCORnet PopMedNet platform across their research centers with the objective of conducting large-scale observational comparative effectiveness research across diverse clinical care settings.
AHRQ-funded; HS022143; HS019912
Citation: McGlynn EA, Lieu TA, Durham ML .
Developing a data infrastructure for a learning health system: the PORTAL network.
J Am Med Inform Assoc. 2014 Jul-Aug;21(4):596-601. doi: 10.1136/amiajnl-2014-002746..
Keywords: Comparative Effectiveness, Patient-Centered Outcomes Research, Health Information Technology (HIT)
Ohno-Machado L, Agha Z, Bell DS
pSCANNER: patient-centered Scalable National Network for Effectiveness Research.
The authors describe the patient-centered Scalable National Network for Effectiveness Research (pSCANNER), which is part of the recently formed Patient-Centered Outcomes Research net (PCORnet). It is designed to be a stakeholder-governed federated network that uses a distributed architecture to integrate data from 3 existing networks covering over 21 million patients in all 50 States.
AHRQ-funded; HS019913
Citation: Ohno-Machado L, Agha Z, Bell DS .
pSCANNER: patient-centered Scalable National Network for Effectiveness Research.
J Am Med Inform Assoc. 2014 Jul-Aug;21(4):621-6. doi: 10.1136/amiajnl-2014-002751..
Keywords: Comparative Effectiveness, Patient-Centered Outcomes Research, Health Information Technology (HIT)