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AHRQ Research Studies Date
Topics
- Blood Pressure (1)
- Central Line-Associated Bloodstream Infections (CLABSI) (1)
- Children/Adolescents (1)
- Clinical Decision Support (CDS) (1)
- Clinician-Patient Communication (1)
- Communication (3)
- COVID-19 (1)
- Critical Care (1)
- Data (2)
- Diabetes (1)
- Electronic Health Records (EHRs) (5)
- Emergency Department (1)
- Emergency Medical Services (EMS) (1)
- Healthcare-Associated Infections (HAIs) (2)
- (-) Health Information Technology (HIT) (19)
- Health Literacy (1)
- Health Services Research (HSR) (1)
- Home Healthcare (2)
- Intensive Care Unit (ICU) (1)
- (-) Nursing (19)
- Outcomes (1)
- Patient-Centered Healthcare (1)
- Patient-Centered Outcomes Research (1)
- Patient and Family Engagement (1)
- Patient Safety (2)
- Patient Self-Management (1)
- Pressure Ulcers (1)
- Primary Care (2)
- Provider (1)
- Provider: Nurse (3)
- Quality of Care (2)
- Research Methodologies (1)
- Shared Decision Making (3)
- Surgery (1)
- Telehealth (2)
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 19 of 19 Research Studies DisplayedWeiss CR, Roberts M, Florell M
Best Practices for telehealth in nurse-led care settings-a qualitative study.
This study explored the implementation of telehealth in nurse-led care models during the COVID-19 pandemic in Colorado. Through interviews with 18 providers and 30 patients, best practices such as: using multiple modalities, tailored triage and scheduling, safety measures, and managing patient relationships emerged. These findings indicate that telehealth can enhance equitable care delivery, particularly in diverse communities, with nurse leaders playing a vital role in its effective utilization.
AHRQ-funded; HS028085.
Citation: Weiss CR, Roberts M, Florell M .
Best Practices for telehealth in nurse-led care settings-a qualitative study.
Policy Polit Nurs Pract 2024 Feb; 25(1):47-57. doi: 10.1177/15271544231201417.
Keywords: Telehealth, Health Information Technology (HIT), Nursing, Provider: Nurse, COVID-19
Hewner S, Smith E, Sullivan SS
Identifying high-need primary care patients using nursing knowledge and machine learning methods.
This study examined how patient cohorts generated by machine learning can be enhanced with clinical knowledge to increase translational value and provide a practical approach to patient segmentation based on a mix of medical, behavioral, and social factors. The authors used a primary care practice dataset (N=3438) of high need patients defined by practice criteria and parsed it to a subset population of patients with diabetes (n=1233). Three expert nurses selected variables for k-means cluster analysis using knowledge of critical factors for care coordination, and their knowledge was again applied to describe the psychosocial phenotypes in four prominent clusters, aligned with social and medical care plans. Four distinct clusters were used to create four cohorts including: (1) A large cluster of racially diverse female, non-English speakers with low medical complexity, and history of childhood illness; (2) A large cluster of English speakers with significant comorbidities (obesity and respiratory disease); (3) A small cluster of males with substance use disorder and significant comorbidities (mental health, liver and cardiovascular disease) who frequently visit the hospital; and (4) A moderate cluster of older, racially diverse patients with renal failure.
AHRQ-funded; HS028000.
Citation: Hewner S, Smith E, Sullivan SS .
Identifying high-need primary care patients using nursing knowledge and machine learning methods.
Appl Clin Inform 2023 May; 14(3):408-17. doi: 10.1055/a-2048-7343..
Keywords: Primary Care, Health Information Technology (HIT), Nursing
Douthit BJ, Walden RL, Cato K
Data science trends relevant to nursing practice: a rapid review of the 2020 literature.
This study’s objective was to summarize the latest research and applications of nursing-relevant patient outcomes and clinical processes in the data science literature. Numerous contemporary data science methods were represented in the literature including the use of machine learning, neural networks, and natural language processing. This review provides an overview of the data science trends that were relevant to nursing practice in 2020.
AHRQ-funded; HS026395.
Citation: Douthit BJ, Walden RL, Cato K .
Data science trends relevant to nursing practice: a rapid review of the 2020 literature.
Appl Clin Inform 2022 Jan;13(1):161-79. doi: 10.1055/s-0041-1742218..
Keywords: Nursing, Health Information Technology (HIT), Patient-Centered Outcomes Research
Kutney-Lee A, Brooks Carthon M, Sloane DM
Electronic health record usability: associations with nurse and patient outcomes in hospitals.
Researchers examined associations between electronic health record (EHR) usability and nurse job and surgical patient outcomes. Data from the American Hospital Association, state patient discharges, and nurse surveys were linked in a cross-sectional analysis. The researchers found that employing EHR systems with suboptimal usability was associated with higher odds of adverse nurse job outcomes and surgical patient mortality and readmission.
AHRQ-funded; HS023805.
Citation: Kutney-Lee A, Brooks Carthon M, Sloane DM .
Electronic health record usability: associations with nurse and patient outcomes in hospitals.
Med Care 2021 Jul;59(7):625-31. doi: 10.1097/mlr.0000000000001536..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Surgery, Outcomes, Nursing, Provider: Nurse
Howland C, Despins L, Sindt J
Primary care clinic nurse activities with a telehealth monitoring system.
The purpose of this study was to evaluate differences in the types of nursing activities and communication processes reported in a primary care clinic between patients using a home-based monitoring system to electronically communicate self-monitored blood glucose and blood pressure values and those assuming usual care. Significant differences were identified for the direct care nursing activities of providing lifestyle and health education, medication adjustments, and patient follow-up, providing evidence of greater nursing activity reported in a primary care clinic in patients who utilized a home-based monitoring system.
AHRQ-funded; HS017035.
Citation: Howland C, Despins L, Sindt J .
Primary care clinic nurse activities with a telehealth monitoring system.
West J Nurs Res 2021 Jan;43(1):5-12. doi: 10.1177/0193945920923082..
Keywords: Telehealth, Health Information Technology (HIT), Blood Pressure, Primary Care, Clinician-Patient Communication, Communication, Patient Self-Management, Nursing, Patient-Centered Healthcare, Diabetes
Thate JA, Couture B, Schnock KO
Information needs and the use of documentation to support collaborative decision-making: implications for the reduction of central line-associated blood stream infections.
It is clear that interdisciplinary communication and collaboration have the potential to mitigate healthcare-associated harm, yet there is limited research on how communication through documentation in the patient record can support collaborative decision making. Understanding what information is needed to support collaborative decision making is necessary to design electronic health information systems that facilitate effective communication and, ultimately, safe care. To explore this issue, the investigators focused on information needs related to central venous catheter management and the prevention of central line-associated blood stream infections.
AHRQ-funded; HS0235335.
Citation: Thate JA, Couture B, Schnock KO .
Information needs and the use of documentation to support collaborative decision-making: implications for the reduction of central line-associated blood stream infections.
Comput Inform Nurs 2020 Nov 2;39(4):208-14. doi: 10.1097/cin.0000000000000683..
Keywords: Central Line-Associated Bloodstream Infections (CLABSI), Healthcare-Associated Infections (HAIs), Shared Decision Making, Communication, Electronic Health Records (EHRs), Health Information Technology (HIT), Nursing
Gance-Cleveland B, McDonald CC, Walker RK
Use of theory to guide development and application of sensor technologies in nursing.
In this paper, three nurse scientists summarize their presentations at the Council for the Advancement of Nursing Science 2019 Advanced Methods Conference on Expanding Science of Sensor Technology in Research discussing the theoretical underpinnings of sensor technologies development and use in nursing research and practice.
AHRQ-funded; HS024738; HS018646.
Citation: Gance-Cleveland B, McDonald CC, Walker RK .
Use of theory to guide development and application of sensor technologies in nursing.
Nurs Outlook 2020 Nov-Dec;68(6):698-710. doi: 10.1016/j.outlook.2020.04.007..
Keywords: Health Information Technology (HIT), Nursing, Health Services Research (HSR), Research Methodologies
Wang J, Gephart SM, Mallow J
Models of collaboration and dissemination for nursing informatics innovations in the 21st century.
This study analyzed four nursing informatics projects to inform future informatics innovations. Four case studies were given a comparative cross-case analysis and were analyzed through the lens of the Informatics Research Organizing Model.
AHRQ-funded; HS022908.
Citation: Wang J, Gephart SM, Mallow J .
Models of collaboration and dissemination for nursing informatics innovations in the 21st century.
Nurs Outlook 2019 Jul - Aug;67(4):419-32. doi: 10.1016/j.outlook.2019.02.003..
Keywords: Health Information Technology (HIT), Nursing
Kutney-Lee A, Sloane DM, Bowles KH
Electronic health record adoption and nurse reports of usability and quality of care: the role of work environment.
This study assessed the role of electronic health record (EHR) adoption and work environment for nurses. If the EHR system has positive usability ratings it impacts quality of care. Over 12,000 nurses in 353 hospitals were surveyed.
AHRQ-funded; HS023805.
Citation: Kutney-Lee A, Sloane DM, Bowles KH .
Electronic health record adoption and nurse reports of usability and quality of care: the role of work environment.
Appl Clin Inform 2019 Jan;10(1):129-39. doi: 10.1055/s-0039-1678551..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Nursing, Provider: Nurse, Quality of Care
Yang Y, Bass EJ, Bowles KH
Impact of home care admission nurses' goals on electronic health record documentation strategies at the point of care.
The article reports on a study designed to investigate documentation strategies used by home care nurses with respect to entering electronic data during admission as well as the effect of nursing goals on the process. This was done to characterize admission nurses' practices at the point of care and to establish a basis for design recommendations for electronic health records (EHRs). Five nurses in rural Pennsylvania home care agencies were observed during the admission process. The results of the study lead the authors to recommend that EHR design and training should support the manner in which home care nurses document patient encounters.
AHRQ-funded; HS024537.
Citation: Yang Y, Bass EJ, Bowles KH .
Impact of home care admission nurses' goals on electronic health record documentation strategies at the point of care.
Comput Inform Nurs 2019 Jan;37(1):39-46. doi: 10.1097/cin.0000000000000468..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Home Healthcare, Nursing
Dowding D, Merrill JA, Barron Y
Usability evaluation of a dashboard for home care nurses.
Usability tests were conducted on a creation of a dashboard prototype for home care nurses for their patients’ electronic health records (EHRs). The prototype was created by first observing and interviewing several nurses; getting feedback on paper versions of the dashboard; and then a usability evaluation of the electronic prototype. The dashboard was positively evaluated.
AHRQ-funded; HS023855.
Citation: Dowding D, Merrill JA, Barron Y .
Usability evaluation of a dashboard for home care nurses.
Comput Inform Nurs 2019 Jan;37(1):11-19. doi: 10.1097/cin.0000000000000484..
Keywords: Health Information Technology (HIT), Home Healthcare, Nursing, Provider
Mistry B, Stewart De Ramirez S, Kelen G
Accuracy and reliability of emergency department triage using the emergency severity index: an international multicenter assessment.
This study assessed the accuracy and variability of triage score assignment by emergency department (ED) nurses using the Emergency Severity Index (ESI) in 3 countries. It found that the concordance of nurse-assigned ESI score with reference standard was universally poor and variability was high. Although the ESI is the most popular ED triage tool in the United States and is increasingly used worldwide, its findings point to a need for more reliable ED triage tools.
AHRQ-funded; HS023641.
Citation: Mistry B, Stewart De Ramirez S, Kelen G .
Accuracy and reliability of emergency department triage using the emergency severity index: an international multicenter assessment.
Ann Emerg Med 2018 May;71(5):581-87.e3. doi: 10.1016/j.annemergmed.2017.09.036.
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Keywords: Shared Decision Making, Emergency Department, Emergency Medical Services (EMS), Health Information Technology (HIT), Nursing
Patterson ES
Workarounds to intended use of health information technology: a narrative review of the human factors engineering literature.
This narrative review sought to integrate and synthesize insights from recent studies of workarounds to the intended use of health information technology (HIT) by health care professionals. It concluded that workarounds were employed to avoid changes to workflow, enable interdisciplinary communication, coordinate activities, and have real-time portable access to summarized and synthesized information.
AHRQ-funded; HS024379.
Citation: Patterson ES .
Workarounds to intended use of health information technology: a narrative review of the human factors engineering literature.
Hum Factors 2018 May;60(3):281-92. doi: 10.1177/0018720818762546.
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Keywords: Communication, Health Information Technology (HIT), Nursing, Patient Safety
Dowding D, Merrill JA, Onorato N
The impact of home care nurses' numeracy and graph literacy on comprehension of visual display information: implications for dashboard design.
This study explored home care nurses' numeracy and graph literacy and their relationship to comprehension of visualized data. Results suggest that nurses' comprehension of visualized information is influenced by their numeracy, graph literacy, and the display format of the data. Individual differences in numeracy and graph literacy skills need to be taken into account when designing dashboard technology.
AHRQ-funded; HS023855.
Citation: Dowding D, Merrill JA, Onorato N .
The impact of home care nurses' numeracy and graph literacy on comprehension of visual display information: implications for dashboard design.
J Am Med Inform Assoc 2018 Feb;25(2):175-82. doi: 10.1093/jamia/ocx042.
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Keywords: Shared Decision Making, Health Information Technology (HIT), Health Literacy, Health Information Technology (HIT), Nursing
Dunn Lopez K, Gephart SM, Raszewski R
Integrative review of clinical decision support for registered nurses in acute care settings.
To report on the state of the science of clinical decision support (CDS) for hospital bedside nurses, the researchers performed an integrative review of qualitative and quantitative peer-reviewed original research studies. They concluded that clinical support systems targeting bedside nurses have positive effects on outcomes and hold promise for improving care quality.
AHRQ-funded; HS022908.
Citation: Dunn Lopez K, Gephart SM, Raszewski R .
Integrative review of clinical decision support for registered nurses in acute care settings.
J Am Med Inform Assoc 2017 Mar 1;24(2):441-50. doi: 10.1093/jamia/ocw084.
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Keywords: Critical Care, Clinical Decision Support (CDS), Health Information Technology (HIT), Nursing, Patient Safety
Asan O, Flynn KE, Azam L
Nurses’ perceptions of a novel health information technology: a qualitative study in the pediatric intensive care unit.
The purpose of this study was to evaluate the use of a novel health information technology (HIT), a large customizable interactive monitor (LCIM), implemented in a pediatric intensive care unit (PICU). The study collected and analyzed data from 55 PICU nurses in seven focus groups. Six major themes emerged including familiarity and use routines, positive perceptions with the LCIM, negative perceptions with the LCIM, privacy, training, and suggestions for improvement.
AHRQ-funded; HS023626.
Citation: Asan O, Flynn KE, Azam L .
Nurses’ perceptions of a novel health information technology: a qualitative study in the pediatric intensive care unit.
Int J Hum Comput Interact 2017;33(4):258-64. doi: 10.1080/10447318.2017.1279828.
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Keywords: Health Information Technology (HIT), Intensive Care Unit (ICU), Patient and Family Engagement, Children/Adolescents, Nursing
Price LE, Shea K, Gephart S
The Veterans Affairs's Corporate Data Warehouse: uses and implications for nursing research and practice.
This article described the developments in research associated with the VHA's transition into the world of Big Data analytics through Corporate Data Warehouse (CDW) utilization. The authors found that the most commonly-occurring research topics are pharmacy/medications, systems issues, and weight management/obesity. They concluded that, despite the potential benefit of data mining techniques to improve patient care and services, the CDW and alternative analytical approaches are underutilized by researchers and clinicians.
AHRQ-funded; HS022908.
Citation: Price LE, Shea K, Gephart S .
The Veterans Affairs's Corporate Data Warehouse: uses and implications for nursing research and practice.
Nurs Adm Q 2015 Oct-Dec;39(4):311-8. doi: 10.1097/naq.0000000000000118.
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Keywords: Data, Electronic Health Records (EHRs), Health Information Technology (HIT), Nursing
Brennan PF, Bakken S
Nursing needs big data and big data needs nursing.
Nursing science and nursing practice has much to gain from the data science initiatives. Existing approaches to large data set analysis provide a necessary but not sufficient foundation for nursing to participate in the big data revolution. Nursing’s Social Policy Statement provides a principled, ethical perspective on big data and data science.
AHRQ-funded; HS022961; HS02254.
Citation: Brennan PF, Bakken S .
Nursing needs big data and big data needs nursing.
J Nurs Scholarsh 2015 Sep;47(5):477-84. doi: 10.1111/jnu.12159..
Keywords: Nursing, Data, Health Information Technology (HIT)
Stifter J, Yao Y, Lopez KD
Proposing a new conceptual model and an exemplar measure using health information: Technology to examine the impact of relational nurse continuity on hospital-acquired pressure ulcers.
The authors present a new conceptual model and an innovative use of health information technology to measure relational nurse continuity and to demonstrate the potential for bringing the results of big data science back to the bedside. Understanding the power of big data to address critical clinical issues may foster a new direction for nursing administration theory development.
AHRQ-funded; HS023072.
Citation: Stifter J, Yao Y, Lopez KD .
Proposing a new conceptual model and an exemplar measure using health information: Technology to examine the impact of relational nurse continuity on hospital-acquired pressure ulcers.
ANS Adv Nurs Sci 2015 Jul-Sep;38(3):241-51. doi: 10.1097/ans.0000000000000081.
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Keywords: Nursing, Pressure Ulcers, Quality of Care, Health Information Technology (HIT), Healthcare-Associated Infections (HAIs)