National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies Date
Topics
- Alcohol Use (1)
- Behavioral Health (3)
- Chronic Conditions (1)
- Clinical Decision Support (CDS) (1)
- COVID-19 (1)
- Decision Making (1)
- Elderly (1)
- Electronic Health Records (EHRs) (1)
- (-) Health Information Technology (HIT) (4)
- Medication (2)
- Opioids (2)
- Pain (1)
- Pregnancy (1)
- (-) Substance Abuse (4)
- Telehealth (2)
- Women (1)
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 4 of 4 Research Studies DisplayedBeetham 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)
Tang LA, Jeffery AD, Leech AA
A comparison of methods to identify antenatal substance use within electronic health records.
This study described the development of a natural-language-processing-based algorithm for detecting antenatal substance use among individuals receiving perinatal care. Findings showed that the accuracy of antenatal substance use detection was improved with more stringent case definitions; however, the overall proportion of true cases confirmed by manual chart review decreased.
AHRQ-funded; HS026395.
Citation: Tang LA, Jeffery AD, Leech AA .
A comparison of methods to identify antenatal substance use within electronic health records.
Am J Obstet Gynecol MFM 2022 Mar;4(2):100535. doi: 10.1016/j.ajogmf.2021.100535..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Substance Abuse, Pregnancy, Women, Behavioral Health
Quanbeck A, Chih MY, Isham A
Mobile delivery of treatment for alcohol use disorders: A review of the literature.
This article explores questions about mobile applications intended for patients dealing with alcohol-use disorders (AUD) s including: What mHealth applications to treat AUDs exist that have been evaluated in the peer-reviewed literature and how can they be categorized? What are common features of these applications? How effective are currently commercially available mHealth applications for AUDs? What are the characteristics, benefits, and limitations of mHealth applications for AUDs?
AHRQ-funded; HS01991702.
Citation: Quanbeck A, Chih MY, Isham A .
Mobile delivery of treatment for alcohol use disorders: A review of the literature.
Alcohol Res 2014;36(1):111-22..
Keywords: Alcohol Use, Health Information Technology (HIT), Substance Abuse, Telehealth