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Search All Research Studies
Topics
- Adverse Drug Events (ADE) (1)
- Adverse Events (1)
- Behavioral Health (3)
- Chronic Conditions (2)
- Clinical Decision Support (CDS) (2)
- Clinician-Patient Communication (1)
- Communication (1)
- COVID-19 (1)
- Decision Making (1)
- Education: Patient and Caregiver (1)
- Elderly (1)
- Electronic Health Records (EHRs) (1)
- Electronic Prescribing (E-Prescribing) (1)
- (-) Health Information Technology (HIT) (11)
- Health Literacy (1)
- Inpatient Care (1)
- Medical Errors (1)
- Medication (9)
- Medication: Safety (1)
- (-) Opioids (11)
- Pain (2)
- Patient Safety (2)
- Practice Patterns (1)
- Primary Care (1)
- Provider (1)
- Provider: Clinician (1)
- Provider: Physician (1)
- Racial and Ethnic Minorities (1)
- Rural/Inner-City Residents (1)
- Rural Health (2)
- Substance Abuse (6)
- Surgery (1)
- Telehealth (3)
- Young Adults (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 11 of 11 Research Studies DisplayedButton D, Levander XA, Cook RR
Substance use disorder treatment and technology access among people who use drugs in rural areas of the United States: a cross-sectional survey.
This study evaluated how technology access (cell phone use and access to the Internet) affected substance use disorder (SUD) treatment prior to COVID-19 for people who use drugs in rural areas. The authors used data from the Rural Opioid Initiative (January 2018-March 2020), which was a cross-sectional study of people with prior 30-day injection drug or nonprescribed opioid use from rural areas of 10 states. They found that out of 3,026 participants, 71% used heroin and 76% used methamphetamine with 35% having no cell phone and 10% having no prior 30-day Internet use. Having both a cell phone and the internet was associated with increased days of medication for opioid use disorder (MOUD) use and a higher likelihood of SUD counseling in the prior 30 days. Lack of cell phone was associated with decreased days of MOUD and a lower likelihood of prior 30-day SUD counseling.
AHRQ-funded; HS026370.
Citation: Button D, Levander XA, Cook RR .
Substance use disorder treatment and technology access among people who use drugs in rural areas of the United States: a cross-sectional survey.
J Rural Health 2023 Sep; 39(4):772-79. doi: 10.1111/jrh.12737..
Keywords: Substance Abuse, Behavioral Health, Rural Health, Telehealth, Health Information Technology (HIT), Opioids, Rural/Inner-City Residents
Rolfzen ML, Wick A, Mascha EJ
Best Practice Alerts Informed by Inpatient Opioid Intake to Reduce Opioid Prescribing after Surgery (PRIOR): a cluster randomized multiple crossover trial.
This study tested the hypothesis that a decision-support tool embedded in electronic health records (EHRs) leads clinicians to prescribe fewer opioids at discharge after inpatient surgery. Over 21,000 surgical inpatient discharges in a cluster randomized multiple crossover trial in four Colorado hospitals were included. The results indicated that within the context of vigorous opioid education and awareness efforts a decision-support tool incorporated into EHRs did not reduce discharge opioid prescribing for postoperative patients. The authors concluded that opioid prescribing alerts might be valuable in other contexts.
AHRQ-funded; HS027795.
Citation: Rolfzen ML, Wick A, Mascha EJ .
Best Practice Alerts Informed by Inpatient Opioid Intake to Reduce Opioid Prescribing after Surgery (PRIOR): a cluster randomized multiple crossover trial.
Anesthesiology 2023 Aug 1; 139(2):186-96. doi: 10.1097/aln.0000000000004607..
Keywords: Opioids, Medication, Surgery, Inpatient Care, Clinical Decision Support (CDS), Health Information Technology (HIT)
Beetham T, Fiellin DA, Busch SH
Physician response to COVID-19-driven telehealth flexibility for opioid use disorder.
This study surveyed physicians who provide opioid use disorder (OUD) treatment on their preferences and practices regarding telehealth that have evolved during the COVID-19 pandemic. A total of 1141 physicians who were publicly listed buprenorphine-prescribing physicians were surveyed. Most respondents found telehealth to be effective, with 54% who found it more effective than expected. Overall, 85% were in favor of temporary telehealth flexibility being permanently extended, and 77% would be likely to use telehealth after the COVID-19 pandemic is over.
AHRQ-funded; HS017589.
Citation: Beetham T, Fiellin DA, Busch SH .
Physician response to COVID-19-driven telehealth flexibility for opioid use disorder.
Am J Manag Care 2022 Sep;28(9):456-63. doi: 10.37765/ajmc.2022.89221..
Keywords: COVID-19, Telehealth, Health Information Technology (HIT), Opioids, Substance Abuse, Behavioral Health, Medication
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)
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)
Thompson HM, Sharma B, Bhalla S
Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups.
The objective of this study was to assess fairness and bias of a previously validated machine learning opioid misuse classifier. Two experiments were conducted with the classifier's original and external validation datasets from 2 health systems. Bias was assessed via testing for differences in type II error rates across racial/ethnic subgroups (Black, Hispanic/Latinx, White, Other) using bootstrapped 95% confidence intervals. The investigators concluded that standardized, transparent bias assessments were needed to improve trustworthiness in clinical machine learning models.
AHRQ-funded; HS026385.
Citation: Thompson HM, Sharma B, Bhalla S .
Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups.
J Am Med Inform Assoc 2021 Oct 12;28(11):2393-403. doi: 10.1093/jamia/ocab148..
Keywords: Opioids, Substance Abuse, Electronic Health Records (EHRs), Health Information Technology (HIT), Racial and Ethnic Minorities
Everson J, Cheng AK, Patrick SW
Association of electronic prescribing of controlled substances with opioid prescribing rates.
The purpose of this study was to assess the association between use of electronic prescribing of controlled substances (EPCS) and trends in opioid prescribing. Results suggested that an increased use of EPCS was not associated with decreased opioid prescribing or a decrease in the amount prescribed and may have been associated with a small increase in opioid prescribing. Recommendations included levers to ensure that EPCS is integrated with outside data and that information is actively used to inform prescribing decisions.
AHRQ-funded; HS026395.
Citation: Everson J, Cheng AK, Patrick SW .
Association of electronic prescribing of controlled substances with opioid prescribing rates.
JAMA Netw Open 2020 Dec;3(12):e2027951. doi: 10.1001/jamanetworkopen.2020.27951..
Keywords: Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Opioids, Medication, Practice Patterns, Provider: Physician, Provider: Clinician, Provider
McCarthy DM, Curtis LM, Courtney DM
A multifaceted intervention to improve patient knowledge and safe use of opioids: results of the ED EMC(2) randomized controlled trial.
Despite increased focus on opioid prescribing, little is known about the influence of prescription opioid medication information given to patients in the emergency department (ED). The objective of this study was to evaluate the effect of an Electronic Medication Complete Communication (EMC(2)) Opioid Strategy on patients' safe use of opioids and knowledge about opioids. The study found that the EMC(2) tools improved demonstrated safe dosing, but these benefits did not translate into actual use based on medication dairies. The text-messaging intervention did result in improved patient knowledge.
AHRQ-funded; HS023459.
Citation: McCarthy DM, Curtis LM, Courtney DM .
A multifaceted intervention to improve patient knowledge and safe use of opioids: results of the ED EMC(2) randomized controlled trial.
Acad Emerg Med 2019 Dec;26(12):1311-25. doi: 10.1111/acem.13860..
Keywords: Opioids, Medication, Medication: Safety, Patient Safety, Health Literacy, Education: Patient and Caregiver, Clinician-Patient Communication, Communication, Health Information Technology (HIT)
Salvador J, Bhatt S, Fowler R
Engagement with Project ECHO to increase medication-assisted treatment in rural primary care.
The purpose of this study was to understand the barriers and facilitators that affect engagement with Project ECHO (Extension for Community Healthcare Outcomes) to implement medication-assisted treatment (MAT) in primary care settings. This brief report identified key systematic challenges that may directly limit primary care providers' engagement in telementoring models such as Project ECHO.
AHRQ-funded; HS025345.
Citation: Salvador J, Bhatt S, Fowler R .
Engagement with Project ECHO to increase medication-assisted treatment in rural primary care.
Psychiatr Serv 2019 Dec;70(12):1157-60. doi: 10.1176/appi.ps.201900142..
Keywords: Opioids, Medication, Substance Abuse, Primary Care, Rural Health, Telehealth, Health Information Technology (HIT)
Marshall BDL, Green TC, Elston B
The effectiveness of internet- and field-based methods to recruit young adults who use prescription opioids nonmedically.
This study researched the effectiveness of field- and Internet-based methods to recruit young adults who are nonmedical prescription opioid (NMPO) users into intervention and treatment. Data was analyzed from the Rhode Island Young Adult Prescription Drug Study (RAPiDS). Internet-based recruitment was more successful (60.1%). Out of 198 eligible participants, median age was 25, and the majority were male, white, and resided in an urban area. Field-based recruited participants were more likely to be homeless, have been incarcerated and engage in daily NMPO use.
AHRQ-funded; HS024021.
Citation: Marshall BDL, Green TC, Elston B .
The effectiveness of internet- and field-based methods to recruit young adults who use prescription opioids nonmedically.
Subst Use Misuse 2018 Aug 24;53(10):1688-99. doi: 10.1080/10826084.2018.1425725.
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Keywords: Health Information Technology (HIT), Medication, Opioids, Substance Abuse, Young Adults
Topaz M, Seger DL, Lai K
High override rate for opioid drug-allergy interaction alerts: current trends and recommendations for future.
This paper examined trends in drug-allergy interaction (DAI) alert overrides for opioid medications - the most commonly triggered alerts in the computerized provider order entry (CPOE). Allergic reactions included a high proportion of non-immune mediated opioid reactions. The DAI alert override rate was high for immune-mediated and life-threatening reactions. Exact allergy-medication matches were overridden less frequently compared to non-exact matches within allergy groups.
AHRQ-funded; HS022728.
Citation: Topaz M, Seger DL, Lai K .
High override rate for opioid drug-allergy interaction alerts: current trends and recommendations for future.
Stud Health Technol Inform 2015;216:242-6.
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Keywords: Opioids, Adverse Drug Events (ADE), Adverse Events, Health Information Technology (HIT), Medication, Patient Safety, Medical Errors