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Search All Research Studies
Topics
- Behavioral Health (1)
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- Chronic Conditions (8)
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- Education: Patient and Caregiver (1)
- Elderly (1)
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- (-) Health Information Technology (HIT) (9)
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- Shared Decision Making (2)
- Sickle Cell Disease (2)
- Substance Abuse (1)
- Surgery (1)
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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 9 of 9 Research Studies DisplayedKagarmanova A, Sparkman H, Laiteerapong N
Improving the management of chronic pain, opioid use, and opioid use disorder in older adults: study protocol for i-cope study.
This article describes a protocol for an upcoming study on the planned implementation and evaluation of I-COPE (Improving Chicago Older Adult Opioid and Pain Management through Patient-centered Clinical Decision Support and Project ECHO®) to improve care for older adults with chronic pain, opioid use, and opioid use disorder (OUD). The study will be implemented in 35 clinical sites across the metropolitan Chicago area for patients aged ≥ 65 with chronic pain, opioid use, or OUD who receive primary care at one of the clinics. I-COPE includes the integration of patient-reported data on symptoms and preferences, clinical decision support tools and shared decision making into routine primary care. Primary care providers will be trained on the tools through web-based videos and an optional Project ECHO® course, entitled "Pain Management and OUD in Older Adults." A framework called RE-AIM will be used to assess the I-COPE implementation. Outcomes considered effective include an increased variety of recommended pain treatments, decreased prescriptions of higher-risk pain treatments, and decreased patient pain scores. Outcomes will be evaluated at 6 and 12 months after implementation, and PCPs participating in Project ECHO® will be evaluated on changes in knowledge, attitudes, and self-efficacy using pre- and post-course surveys.
AHRQ-funded; HS027910.
Citation: Kagarmanova A, Sparkman H, Laiteerapong N .
Improving the management of chronic pain, opioid use, and opioid use disorder in older adults: study protocol for i-cope study.
Trials 2022 Jul 27;23(1):602. doi: 10.1186/s13063-022-06537-w..
Keywords: Elderly, Pain, Chronic Conditions, Opioids, Medication, Substance Abuse, Behavioral Health, Clinical Decision Support (CDS), Shared Decision Making, 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
Schirle L, Jeffery A, Yaqoob A
Two data-driven approaches to identifying the spectrum of problematic opioid use: a pilot study within a chronic pain cohort.
Although electronic health records (EHR) have significant potential for the study of opioid use disorders (OUD), detecting OUD in clinical data is challenging. Models using EHR data to predict OUD often rely on case/control classifications focused on extreme opioid use. IN this study, the investigators discussed two data-driven approaches to identifying the spectrum of problematic opioid use. The investigators concluded that risk scores comprising comorbidities and text offer differing but synergistic insights into characterizing problematic opioid use.
AHRQ-funded; HS026395.
Citation: Schirle L, Jeffery A, Yaqoob A .
Two data-driven approaches to identifying the spectrum of problematic opioid use: a pilot study within a chronic pain cohort.
Int J Med Inform 2021 Dec;156:104621. doi: 10.1016/j.ijmedinf.2021.104621..
Keywords: Opioids, Pain, Chronic Conditions, Medication, Health Information Technology (HIT)
McKernan LC, Crofford LJ, Kim A
Electronic delivery of pain education for chronic overlapping pain conditions: a prospective cohort study.
This study’s objective was to examine the impact of educational materials for chronic overlapping pain conditions (COPCs), the feasibility of delivery materials online, and to explore its impact on self-reported self-management applications at 3-month follow-up. This prospective cohort study used individuals from a university-wide active research repository with ≥1 coded diagnostic COPC by ICD-9/10 in the medical record. The authors assessed content awareness after the participants read educational materials pre- and post-exposure to education. A total of 216 individuals were enrolled, with 181 completing both timepoints. Knowledge and understanding of COPCs increased significantly after education and were retained at three months. There was no significant change to symptoms or self-management applications over the three-month period.
AHRQ-funded; HS022990.
Citation: McKernan LC, Crofford LJ, Kim A .
Electronic delivery of pain education for chronic overlapping pain conditions: a prospective cohort study.
Pain Med 2021 Oct 8;22(10):2252-62. doi: 10.1093/pm/pnab018..
Keywords: Education: Patient and Caregiver, Pain, Health Information Technology (HIT), Chronic Conditions
Weng Y, Tian L, Tedesco D
Trajectory analysis for postoperative pain using electronic health records: a nonparametric method with robust linear regression and K-medians cluster analysis.
Postoperative pain scores are widely monitored and collected in the electronic health record, yet current methods fail to fully leverage the data with fast implementation. This article describes a trajectory analysis for postoperative pain using electronic health records. A robust linear regression was fitted to describe the association between the log-scaled pain score and time from discharge after total knee replacement.
AHRQ-funded; HS024096.
Citation: Weng Y, Tian L, Tedesco D .
Trajectory analysis for postoperative pain using electronic health records: a nonparametric method with robust linear regression and K-medians cluster analysis.
Health Informatics J 2020 Jun;26(2):1404-18. doi: 10.1177/1460458219881339..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Pain, Surgery, Orthopedics, Research Methodologies, Health Services Research (HSR)
Harle CA, DiIulio J, Downs SM
Decision-centered design of patient information visualizations to support chronic pain care.
The objective of this study was to describe a decision-centered design process, and resultant interactive patient information displays, to support key clinical decision requirements in chronic noncancer pain care. Through critical decision method interviews and a half-day multidisciplinary design workshop, researchers designed an interactive prototype, the Chronic Pain Treatment Tracker. This prototype summarizes the current treatment plan, past treatment history, potential future treatments, and treatment options that require caution. The researchers concluded that the Chronic Pain Treatment Tracker presents clinicians with the information they need in a structure that promotes quick uptake, understanding, and action.
AHRQ-funded; HS023306.
Citation: Harle CA, DiIulio J, Downs SM .
Decision-centered design of patient information visualizations to support chronic pain care.
Appl Clin Inform 2019 Aug;10(4):719-28. doi: 10.1055/s-0039-1696668..
Keywords: Pain, Chronic Conditions, Shared Decision Making, Health Information Technology (HIT), Clinical Decision Support (CDS), Care Management, Healthcare Delivery
Jonassaint CR, Kang C, Abrams DM
Understanding patterns and correlates of daily pain using the Sickle cell disease Mobile Application to Record Symptoms via Technology (SMART).
The authors used a mobile e-diary app to describe day-to-day patterns in sickle cell disease (SCD)-related pain symptoms and to identify the clinical and demographic factors associated with differences in daily pain level among adult patients with SCD. They suggest that future studies of the app would benefit from implementation of strategies to increase engagement. They also conclude that, despite a limited sample size, this study provides strong evidence supporting the use of mobile technology for measuring daily pain and symptoms in SCD.
AHRQ-funded; HS023989.
Citation: Jonassaint CR, Kang C, Abrams DM .
Understanding patterns and correlates of daily pain using the Sickle cell disease Mobile Application to Record Symptoms via Technology (SMART).
Br J Haematol 2018 Oct;183(2):306-08. doi: 10.1111/bjh.14956..
Keywords: Chronic Conditions, Health Information Technology (HIT), Pain, Sickle Cell Disease, Telehealth
Jonassaint CR, Birenboim A, Jorgensen DR
The association of smartphone-based activity space measures with cognitive functioning and pain sickle cell disease.
This letter describes a study which researched the feasibility of using GPS tracking on smartphones to identify sickle cell disease (SCD) patients aged 18-65 at risk for poor outcomes. The data was used to track physical mobility and activity spaces. Preliminary findings showed that 90% of the phones produced reliable and only 4 phones produced no data. Patients with lower hemoglobin (Hb) levels did have smaller activity spaces.
AHRQ-funded; HS022989.
Citation: Jonassaint CR, Birenboim A, Jorgensen DR .
The association of smartphone-based activity space measures with cognitive functioning and pain sickle cell disease.
Br J Haematol 2018 May;181(3):395-97. doi: 10.1111/bjh.14598..
Keywords: Chronic Conditions, Health Information Technology (HIT), Pain, Sickle Cell Disease
Juckett DA, Davis FN, Gostine M
Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype modeling.
The researchers aimed to build a phenotype-to-outcome model targeting chronic pain to be used to drive clinical decision support for pain medicine in the community setting. Exploratory factor analysis of the intake Pain Health Assessment revealed 15 orthogonal factors representing pain levels; physical, social, and emotional functions; the effects of pain on these functions; vitality and health; and measures of outcomes and satisfaction.
AHRQ-funded; HS022335.
Citation: Juckett DA, Davis FN, Gostine M .
Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype modeling.
BMC Med Inform Decis Mak 2015 May 28;15:41. doi: 10.1186/s12911-015-0164-4..
Keywords: Care Management, Chronic Conditions, Community-Based Practice, Electronic Health Records (EHRs), Health Information Technology (HIT), Outcomes, Pain