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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.
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1 to 5 of 5 Research Studies DisplayedSomohano VC, Smith CL, Saha S
Patient-provider shared decision-making, trust, and opioid misuse among US veterans prescribed long-term opioid therapy for chronic pain.
This article examined the role that trust in a prescribing provider has on shared decision-making and opioid misuse in opioid-specific pain management. A secondary analysis of data from a prospective cohort study was conducted of US Veterans (N = 1273) prescribed long-term opioid therapy (LTOT) for chronic non-cancer pain. Patient-provider shared decision-making had a total significant effect on opioid misuse, in the absence of the mediator, such that higher levels of shared decision-making were associated with lower levels of reported opioid misuse. When trust in provider was added to the mediation model, the indirect effect of shared decision-making on opioid misuse through trust in provider remained significant.
AHRQ-funded; HS026370.
Citation: Somohano VC, Smith CL, Saha S .
Patient-provider shared decision-making, trust, and opioid misuse among US veterans prescribed long-term opioid therapy for chronic pain.
J Gen Intern Med 2023 Sep; 38(12):2755-60. doi: 10.1007/s11606-023-08212-5..
Keywords: Decision Making, Opioids, Medication, Substance Abuse, Behavioral Health, Pain, Chronic Conditions
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.
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), Decision Making, Health Information Technology (HIT)
Bowen E, Nayfe R, Milburn N
Do decision aids benefit patients with chronic musculoskeletal pain? A systematic review.
To review the effect of patient decision aids for adults making treatment decisions regarding the management of chronic musculoskeletal pain. The investigators performed a systematic review of randomized controlled trials of adults using patient decision aids to make treatment decisions for chronic musculoskeletal pain in the outpatient setting. The investigators concluded that decision aids may improve patients' knowledge about treatment options for chronic musculoskeletal pain but largely did not impact other outcomes.
AHRQ-funded; HS022418.
Citation: Bowen E, Nayfe R, Milburn N .
Do decision aids benefit patients with chronic musculoskeletal pain? A systematic review.
Pain Med 2020 May;21(5):951-69. doi: 10.1093/pm/pnz280..
Keywords: Decision Making, Pain, Chronic Conditions
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, Decision Making, Health Information Technology (HIT), Clinical Decision Support (CDS), Care Management, Healthcare Delivery
Militello LG, Anders S, Downs SM
Understanding how primary care clinicians make sense of chronic pain.
This research explored how primary care clinicians manage their patients with chronic noncancer pain. They conducted Critical Decision Method interviews with 10 clinicians about 30 individual patients. Findings suggested that clinicians should focus on supporting sensemaking in the content of clinical evidence rather than trying to provide them with rules.
AHRQ-funded; HS023306.
Citation: Militello LG, Anders S, Downs SM .
Understanding how primary care clinicians make sense of chronic pain.
Cogn Technol Work 2018 Nov;20(4):575-84. doi: 10.1007/s10111-018-0491-1..
Keywords: Pain, Chronic Conditions, Opioids, Medication, Decision Making, Primary Care, Care Management