National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Adverse Events (6)
- Ambulatory Care and Surgery (3)
- Arthritis (1)
- Cancer (2)
- Care Management (1)
- Children/Adolescents (1)
- Data (1)
- Digestive Disease and Health (1)
- Education: Patient and Caregiver (1)
- Electronic Health Records (EHRs) (5)
- Healthcare-Associated Infections (HAIs) (5)
- (-) Health Information Technology (HIT) (13)
- Hospital Discharge (1)
- Hospital Readmissions (1)
- Injuries and Wounds (5)
- Outcomes (1)
- Patient Experience (1)
- Patient Safety (6)
- Prevention (1)
- Quality Improvement (2)
- Quality of Care (1)
- Registries (1)
- Risk (2)
- Shared Decision Making (1)
- (-) Surgery (13)
- Telehealth (3)
- Tools & Toolkits (1)
- Transitions of Care (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 13 of 13 Research Studies DisplayedAncker JS, Stabile C, Carter J
Informing, reassuring, or alarming? Balancing patient needs in the development of a postsurgical symptom reporting system in cancer.
After ambulatory surgeries, patients who recover at home have multiple questions about wound healing, symptoms and medication side effects, and recovery expectations. In this study, the investigators conducted user testing and rapid application development of a symptom reporting system that supports home-based recovery by inviting patients to self-report symptoms in the days after surgery and receive an immediate feedback report giving context for their reported symptoms.
AHRQ-funded; HS021531.
Citation: Ancker JS, Stabile C, Carter J .
Informing, reassuring, or alarming? Balancing patient needs in the development of a postsurgical symptom reporting system in cancer.
AMIA Annu Symp Proc 2018 Dec 5;2018:166-74..
Keywords: Adverse Events, Ambulatory Care and Surgery, Cancer, Education: Patient and Caregiver, Health Information Technology (HIT), Patient Safety, Surgery
Colborn KL, Bronsert M, Amioka E
Identification of surgical site infections using electronic health record data.
The objective of this study was to develop an algorithm for identifying surgical site infections (SSIs) using independent variables from electronic health record data and outcomes from the American College of Surgeons National Surgical Quality Improvement Program to supplement manual chart review. The investigators concluded that they identified a model that accurately identified SSIs. They indicated that the framework presented can be easily implemented by other American College of Surgeons National Surgical Quality Improvement Program-participating hospitals to develop models for enhancing surveillance of SSIs.
AHRQ-funded; HS026019.
Citation: Colborn KL, Bronsert M, Amioka E .
Identification of surgical site infections using electronic health record data.
Am J Infect Control 2018 Nov;46(11):1230-35. doi: 10.1016/j.ajic.2018.05.011..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare-Associated Infections (HAIs), Injuries and Wounds, Patient Safety, Surgery
Karavite DJ, Miller MW, Ramos MJ
User testing an information foraging tool for ambulatory surgical site infection surveillance.
Surveillance for surgical site infections (SSIs) after ambulatory surgery in children requires a detailed manual chart review to assess criteria defined by the National Health and Safety Network. Electronic health records (EHRs) impose an inefficient search process. Using text mining and business intelligence software, the authors developed an information foraging application, the SSI Workbench, to visually present which postsurgical encounters included SSI-related terms and synonyms, antibiotic, and culture orders. This study compares the Workbench and EHR.
AHRQ-funded; HS020921.
Citation: Karavite DJ, Miller MW, Ramos MJ .
User testing an information foraging tool for ambulatory surgical site infection surveillance.
Appl Clin Inform 2018 Oct;9(4):791-802. doi: 10.1055/s-0038-1675179..
Keywords: Surgery, Ambulatory Care and Surgery, Children/Adolescents, Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare-Associated Infections (HAIs), Patient Safety
Grundmeier RW, Xiao R, Ross RK
Grundmeier RW, Xiao R, Ross RK, Ramos MJ, Karavite DJ, Michel JJ, Gerber JS, et al. Identifying surgical site infections in electronic health data using predictive models,.
The objective of this study was to prospectively derive and validate a prediction rule for detecting cases warranting investigation for surgical site infections (SSI) after ambulatory surgery. The investigators concluded that electronic health record data can facilitate SSI surveillance with adequate sensitivity and positive predictive value.
AHRQ-funded; HS020921.
Citation: Grundmeier RW, Xiao R, Ross RK .
Grundmeier RW, Xiao R, Ross RK, Ramos MJ, Karavite DJ, Michel JJ, Gerber JS, et al. Identifying surgical site infections in electronic health data using predictive models,.
J Am Med Inform Assoc 2018 Sep;25(9):1160-66. doi: 10.1093/jamia/ocy075..
Keywords: Healthcare-Associated Infections (HAIs), Injuries and Wounds, Surgery, Electronic Health Records (EHRs), Health Information Technology (HIT), Risk, Patient Safety, Adverse Events, Ambulatory Care and Surgery
Lambert-Kerzner A, Ford KL, Hammermeister KE
Assessment of attitudes towards future implementation of the "Surgical Risk Preoperative Assessment System" (SURPAS) tool: a pilot survey among patients, surgeons, and hospital administrators.
Implementation of the Surgical Risk Preoperative Assessment System (SURPAS), an innovative real time, universal, preoperative tool providing individualized risk assessment, may enhance informed consent and reduce adverse outcomes. To ensure optimal development and implementation of SURPAS the study authors performed an in-depth pre-implementation evaluation of SURPAS at an academic tertiary referral center in Colorado.
AHRQ-funded; HS024124.
Citation: Lambert-Kerzner A, Ford KL, Hammermeister KE .
Assessment of attitudes towards future implementation of the "Surgical Risk Preoperative Assessment System" (SURPAS) tool: a pilot survey among patients, surgeons, and hospital administrators.
Patient Saf Surg 2018 Jun 4;12:12. doi: 10.1186/s13037-018-0159-z..
Keywords: Health Information Technology (HIT), Quality Improvement, Risk, Surgery, Tools & Toolkits
Fritz BA, Chen Y, Murray-Torres TM
Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study.
Mortality and morbidity following surgery are pressing public health concerns in the USA. Traditional prediction models for postoperative adverse outcomes demonstrate good discrimination at the population level, but the ability to forecast an individual patient's trajectory in real time remains poor. In this article, the investigators propose to apply machine learning techniques to perioperative time-series data to develop algorithms for predicting adverse perioperative outcomes.
AHRQ-funded; HS024581.
Citation: Fritz BA, Chen Y, Murray-Torres TM .
Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study.
BMJ Open 2018 Apr 10;8(4):e020124. doi: 10.1136/bmjopen-2017-020124..
Keywords: Adverse Events, Health Information Technology (HIT), Surgery
Gunter RL, Fernandes-Taylor S, Rahman S
Feasibility of an image-based mobile health protocol for postoperative wound monitoring.
Many surgical site infections (SSIs) develop in the postdischarge period and are inadequately recognized by patients. To address this, the authors developed a mobile health protocol of remote wound monitoring using smartphone technology. The current study aims to establish its feasibility among patients and providers. It found that participant and provider satisfaction was universally high.
AHRQ-funded; HS023395.
Citation: Gunter RL, Fernandes-Taylor S, Rahman S .
Feasibility of an image-based mobile health protocol for postoperative wound monitoring.
J Am Coll Surg 2018 Mar;226(3):277-86. doi: 10.1016/j.jamcollsurg.2017.12.013.
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Keywords: Healthcare-Associated Infections (HAIs), Surgery, Injuries and Wounds, Telehealth, Patient Safety, Health Information Technology (HIT)
Symer MM, Abelson JS, Milsom J
A mobile health application to track patients after gastrointestinal surgery: results from a pilot study.
Many surgical readmissions are preventable. Mobile health technology can identify nascent complications and potentially prevent readmission. The researchers performed a pilot study of a new mobile health application in adults undergoing major abdominal surgery and determined the app can track patient recovery from major abdominal surgery, is easy to use, and has potential to improve outcomes.
AHRQ-funded; HS000066.
Citation: Symer MM, Abelson JS, Milsom J .
A mobile health application to track patients after gastrointestinal surgery: results from a pilot study.
J Gastrointest Surg 2017 Sep;21(9):1500-05. doi: 10.1007/s11605-017-3482-2..
Keywords: Telehealth, Health Information Technology (HIT), Hospital Readmissions, Surgery, Adverse Events, Patient Safety, Digestive Disease and Health, Prevention
Smith AB, Basch E
Role of patient-reported outcomes in postsurgical monitoring in oncology.
This article describes the benefits of electronic patient-reported outcomes (ePROs) in postsurgical symptom monitoring for surgical oncology patients; ePROs can identify at-risk patients, provide closer monitoring, and provide a mechanism to identify and treat complications before they worsen. The article also summarizes the literature of ePRO use in surgical oncology.
AHRQ-funded; HS024134.
Citation: Smith AB, Basch E .
Role of patient-reported outcomes in postsurgical monitoring in oncology.
J Oncol Pract 2017 Aug;13(8):535-38. doi: 10.1200/jop.2017.023838..
Keywords: Cancer, Care Management, Health Information Technology (HIT), Electronic Health Records (EHRs), Surgery, Outcomes
Zheng H, Tulu B, Choi W
Using mHealth app to support treatment decision-making for knee arthritis: patient perspective.
The authors explored patient preferences on content and design of a mobile health app to facilitate daily symptom capture and summary feedback reporting, in order to inform treatment decisions, including use of total knee replacement surgery (TKR). The authors suggest that user input can inform the design and implementation of mHealth technology to meet patient needs for their treatment decisions. Patient priorities must be considered through patient-centered app design.
AHRQ-funded; HS018910.
Citation: Zheng H, Tulu B, Choi W .
Using mHealth app to support treatment decision-making for knee arthritis: patient perspective.
eGEMS 2017 Apr 20;5(2):7. doi: 10.13063/2327-9214.1284..
Keywords: Arthritis, Shared Decision Making, Health Information Technology (HIT), Surgery
Hu Z, Melton GB, Arsoniadis EG
Strategies for handling missing clinical data for automated surgical site infection detection from the electronic health record.
Proper handling of missing data is important for many secondary uses of electronic health record (EHR) data. Data imputation methods can be used to handle missing data, but their use for postoperative complication detection is unclear. Overall, models with missing data imputation almost always outperformed reference models without imputation that included only cases with complete data for detection of SSI overall achieving very good average area under the curve values.
AHRQ-funded; HS024532.
Citation: Hu Z, Melton GB, Arsoniadis EG .
Strategies for handling missing clinical data for automated surgical site infection detection from the electronic health record.
J Biomed Inform 2017 Apr;68:112-20. doi: 10.1016/j.jbi.2017.03.009.
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Keywords: Data, Electronic Health Records (EHRs), Healthcare-Associated Infections (HAIs), Registries, Surgery, Injuries and Wounds, Health Information Technology (HIT), Quality Improvement, Quality of Care, Adverse Events
Fernandes-Taylor S, Gunter RL, Bennett KM
Feasibility of implementing a patient-centered postoperative wound monitoring program using smartphone images: a pilot protocol.
The researchers propose a protocol of postoperative wound monitoring using smartphone digital images. Their study will help establish the feasibility of such a program, both for patients and for the clinical care team. The feasibility trial will confirm whether patients and their caregivers can learn to use a postdischarge wound monitoring smartphone app and will assess patient and provider satisfaction.
AHRQ-funded; HS023395.
Citation: Fernandes-Taylor S, Gunter RL, Bennett KM .
Feasibility of implementing a patient-centered postoperative wound monitoring program using smartphone images: a pilot protocol.
JMIR Res Protoc 2017 Feb 22;6(2):e26. doi: 10.2196/resprot.6819.
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Keywords: Telehealth, Health Information Technology (HIT), Surgery, Injuries and Wounds, Transitions of Care
Sanger PC, Hartzler A, Han SM
Patient perspectives on post-discharge surgical site infections: towards a patient-centered mobile health solution.
This study explored patient experience of surgical site infections (SSI) and openness to a mobile health (mHealth) wound monitoring ‘‘app’’ as a novel solution to address the problem of patient perceptions about barriers experienced while seeking care for post-discharge SSI. It found that patients are dissatisfied with the current standard post-hospitalization care practice and were accepting of the concept of a patient-centered wound monitoring application.
AHRQ-funded; HS019482.
Citation: Sanger PC, Hartzler A, Han SM .
Patient perspectives on post-discharge surgical site infections: towards a patient-centered mobile health solution.
PLoS One 2014 Dec;9(12):e114016. doi: 10.1371/journal.pone.0114016..
Keywords: Surgery, Health Information Technology (HIT), Adverse Events, Patient Experience, Hospital Discharge