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
Topics
- Care Coordination (1)
- Caregiving (1)
- Electronic Health Records (EHRs) (2)
- Health Information Exchange (HIE) (1)
- (-) Health Information Technology (HIT) (4)
- Hospital Discharge (1)
- Hospital Readmissions (1)
- (-) Hospitals (4)
- Outcomes (1)
- Patient and Family Engagement (1)
- Provider (1)
- Provider: Nurse (1)
- Risk (1)
- (-) Transitions of Care (4)
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 DisplayedMueller SK, Garabedian P, Goralnick E
Advancing health information during interhospital transfer: an interrupted time series.
The researchers report that health information exchange (HIE) during the interhospital transfer (IHT) of patients between acute care hospitals is subject to fragmented communication and unreliable access to clinical information. This proposed study will design, implement, and rigorously evaluate the implementation of a HIE platform to improve data access during IHT. The four-fold purposes of this study are to: 1) optimize clinician workflow, data visualization, and interoperability through user-centered design sessions for HIE platform development; 2) evaluate the impact of the intervention on clinician-reported medical errors among 500 pre- and 500 postintervention IHT patients using interrupted time series methodology; 3) evaluate intervention fidelity, use, and perceived usability of the platform, and barriers and facilitators of implementation from interprofessional stakeholder input, using mixed-methods evaluation; and 4) combine primary findings to develop a toolkit for spread and sustainability.
AHRQ-funded; HS028982.
Citation: Mueller SK, Garabedian P, Goralnick E .
Advancing health information during interhospital transfer: an interrupted time series.
J Hosp Med 2023 Dec; 18(12):1063-71. doi: 10.1002/jhm.13221..
Keywords: Health Information Exchange (HIE), Health Information Technology (HIT), Hospitals, Transitions of Care
Saleh SN, Makam AN, Halm EA,
Can we predict early 7-day readmissions using a standard 30-day hospital readmission risk prediction model?
Despite focus on preventing 30-day readmissions, early readmissions (within 7 days of discharge) may be more preventable than later readmissions (8-30 days). In this study, the investigators assessed how well a previously validated 30-day EHR-based readmission model predicted 7-day readmissions and compared differences in strength of predictors. They suggested that improvements in predicting early 7-day readmissions will likely require new risk factors proximal to day of discharge.
AHRQ-funded; HS022418.
Citation: Saleh SN, Makam AN, Halm EA, .
Can we predict early 7-day readmissions using a standard 30-day hospital readmission risk prediction model?
BMC Med Inform Decis Mak 2020 Sep 15;20(1):227. doi: 10.1186/s12911-020-01248-1..
Keywords: Hospital Readmissions, Hospitals, Risk, Transitions of Care, Electronic Health Records (EHRs), Health Information Technology (HIT)
Fuller TE, Pong DD, Piniella N
Interactive digital health tools to engage patients and caregivers in discharge preparation: implementation study.
This clinical trial studied implementation of a suite of EHR-integrated digital health tools to engage patients, caregivers, and clinicians in discharge preparation during hospitalization. Patients who were enrolled agreed to watch a discharge video, complete a checklist assessing discharge readiness, and request postdischarge text messaging with a physician 24 to 48 hours before their expected discharge date. Out of 752 patient admissions, from December 2017 to July 2018, 510 participated, 416 watched the video and completed the checklist, and 94 completed only the checklist. Most patients endorsed the tools, but felt that the video and checklist would be more useful closer to the actual discharge date. Clinicians participating in focus groups perceived the value for patients but felt that there were a number of limitations including low awareness and variable workflow regarding the intervention. A number of strategies were offered by the authors to address implementation barriers and promote adoption of these tools.
AHRQ-funded; HS024751.
Citation: Fuller TE, Pong DD, Piniella N .
Interactive digital health tools to engage patients and caregivers in discharge preparation: implementation study.
J Med Internet Res 2020 Apr 28;22(4):e15573. doi: 10.2196/15573..
Keywords: Health Information Technology (HIT), Patient and Family Engagement, Caregiving, Hospital Discharge, Transitions of Care, Hospitals
Yao Y, Ahn H, Stifter J
Continuity index measures in the acute care hospital setting: an analytic review and tests using electronic health record data and computer simulation.
This study examined continuity index measures in the acute care hospital setting. These measures can be used to examine the influence of nurse staffing patterns on patient outcomes. The researchers examined the behavior of continuity indexes as applied to clinical practice data that were collected with the Hands-On Automated Nursing Data System (HANDS) and data from computer simulation. The findings provided a deep understanding of the conceptual foundations and properties of various continuity measures.
AHRQ-funded; HS015054; HS023072.
Citation: Yao Y, Ahn H, Stifter J .
Continuity index measures in the acute care hospital setting: an analytic review and tests using electronic health record data and computer simulation.
J Nurs Meas 2018 Apr 1;26(1):20-35. doi: 10.1891/1061-3749.26.1.20..
Keywords: Transitions of Care, Care Coordination, Electronic Health Records (EHRs), Health Information Technology (HIT), Provider: Nurse, Provider, Hospitals, Outcomes