PICOT Literature Evaluation Table
The purpose of this PICOT Literature Evaluation Table assignment is to provide research evidence in support of the PICOT you developed for your selected topic. Conduct a search for 10 peer-reviewed, translational research articles published within the last 5 years that demonstrate support for your PICOT. You may include previous research articles from assignments completed in this course. Use the "Literature Evaluation Table" provided to evaluate the articles and explain how the research supports your PICOT. Once your instructor returns this assignment, review the feedback and make any revisions necessary. If you are directed by your instructor to select different articles in order to meet the assignment criteria or to better support your PICOT, make these changes accordingly. You will use the literature evaluated in this assignment for all subsequent assignments you develop as part of your evidence-based practice project proposal in this course and in NUR-590, during which you will synthesize all of the sections into a final written paper detailing your evidence-based practice project proposal. Refer to the "Evidence-Based Practice Project Proposal – Assignment Overview" document for an overview of the evidence-based practice project proposal assignments.
Literature Evaluation Table
Learner Name:
PICOT:
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Author, Journal (Peer-Reviewed), and Permalink or Working Link to Access Article |
Article Title and Year Published
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Research Questions/ Hypothesis, and Purpose/Aim of Study
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Design (Quantitative, Qualitative, or other)
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Setting/Sample
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Methods: Intervention/ Instruments
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Analysis/Data Collection
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Outcomes/Key Findings
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Recommendations
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Explanation of How the Article Supports Your Proposed EBP Practice Project Proposal |
| Michele Cournan, Benjamin Fusco-Gessick, & Laura Wright.
Journal: Rehabilitation Nursing https://doi.org/10.1002/rnj.308 PICOT Literature Evaluation Table |
Title: Improving Patient Safety Through Video Monitoring Year Published: 2019 |
The study aimed to compare patient fall rates before and after implementing continuous video monitoring. Hypothesis: Fall rates will be lower after the installation of a video monitoring system
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Quantitative research |
114-bed rehabilitation facility in New York
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15 cameras were installed, and a video monitoring room established |
T-tests were used to compare fall rates before and after the implementation of the video monitoring. |
Over the 21 months before installing the video monitoring system, the fall rate was 6.34/1000 patient days. After installing the system, the falls rate was reduced to 5.099/1000 patient days. It also reduced costs by reducing the use of sitters
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Hospitals should consider implementing continuous video monitoring to reduce fall rates and save costs associated with sitter usage. |
This article supports my EBP proposal. It has shown that fall rates are reduced by continuous video monitoring. |
| Sand-Jecklin et al.
Journal of Nursing Care Quality https://doi.org/10.1097/ncq.0000000000000355 |
Video monitoring for fall prevention and patient safety Year: 2019
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Aim: Evaluate video monitoring implemented at a tertiary care center from the patients, nurses and video monitoring technicians’ perspectives
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Qualitative design. |
Sample: Fifty-seven clinical associates and 73 nurses. Setting: a large tertiary care center
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Surveys were used to elicit the perceptions of participants to video monitoring Structured interviews for video monitoring technicians |
Forced question surveys were used in data collection . |
Participants perceived video monitoring as an effective method in promoting patient safety |
Video monitoring should be implemented in healthcare facilities since it promotes patient safety |
The article supports my EBP since video monitoring reduces hospital fall incidences after implementation. It also reduces sitter hours |
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Patricia A. Quigley, Lisbeth Votruba and Jill Kaminski
Journal: Clinics in Geriatric Medicine https://doi.org/10.1016/j.cger.2019.01.005
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Outcomes of Patient-Engaged Video Surveillance on Falls and Other Adverse Events Year: 2019 |
The study aimed to determine the cost-saving effects of patient engaged video monitoring (PEV) compared to sitter usage |
Quantitative |
Seventy-one hospitals |
The same PEV system (AVaSys) was implemented in 71 hospitals. |
Data was collected automatically from the PEV system when video monitoring staff observed patients. |
PEV reduced fall incidences Formal 24-hour video monitoring is more effective in reducing falls than sitters |
PEV should be implemented in healthcare facilities since it reduces fall incidences and is more effective than sitters. |
This study revealed that video monitoring is more effective than sitters in reducing fall rates |
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Purvis et al., 2018
Clinical Nurse Specialist doi: 10.1097/NUR.0000000000000356 |
Outcomes of Clinical Nurse Specialist Practice in the Implementation of Video Monitoring at an Academic Medical Center 2018 |
This study aimed to design and implement a video monitoring program to prevent adverse patient events. |
Quantitative |
Academic Medical Center |
A video monitoring system was designed and installed |
Data were analyzed from electronic patient records regarding fall rates and demographics |
There was a decline in full-time employment of sitters with no increase in fall incidences |
Video monitoring should be used as an effective strategy in preventing falls. |
Video monitoring reduces fall rates and the need for employment of sitters |
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Lapierre et al., 2018 Journal of Enabling Technologies https://doi.org/10.1108/JET-04-2018-0022 |
An intelligent video-monitoring system to detect falls: a proof of concept 2018 |
The study aimed to test an intelligent video monitoring system for preventing falls at the laboratory and home. |
Quantitative |
Apartment laboratory and four rooms in an apartment Two students were involved in simulation |
IVS functioning was investigated in two phases. A simulation was done in a controlled environment then pretested at a house with four rooms. |
A daily log book was used to record aspects of the study. A descriptive data analysis was used |
The study revealed that IVS is important in detecting falls. |
Even though IVS is important at detecting falls, there may be false alarms, and hence it is important for continuous video monitoring |
IVS reduces fall incidences, but it may result in fall alarms. |
| Bayen et al. (2017)
Journal of Medical Internet Research
https://doi.org/10.2196/jmir.8095
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Reduction in Fall Rate in Dementia Managed Care Through Video Incident Review: Pilot Study 2017
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The aim of the study was to how continuous video monitoring and video review of falls helps to provide quality care PICOT Literature Evaluation Table |
Quantitative |
Setting: Memory care facility.
The participants in the facility had dementia |
Patient falls were video captured 24 hours and videos provided to the staff for review |
Video review of falls |
A drop in fall incidences was observed in the final month of the study. |
A continuous video review is an important tool in assessing patients at risk of falls. |
This study supports my EBP since it reveals that EBP can identify patients at fall and implement strategies to prevent falls. |
| Ndoda et al.
Journal of Informatics Nursing https://www.proquest.com/docview/2347793317?pq-origsite=gscholar&fromopenview=true |
Video monitoring for fall prevention in the hospital: Current evidence and considerations 2019
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The aim of this study was to conduct a systematic literature review to assess the effectiveness of video monitoring in preventing falls.
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Systematic literature review |
Six articles met the criteria |
An article search was conducted in Cochrane Dabatase, Medline and CINAHL |
Critical appraisal of the six articles |
Fall rates were reduced after the implementation of CVM. |
Existing shows the effectiveness of CVM in reducing patient falls. It can thus become a standard of care in hospitals. |
It relates to my EBP since it has proven the effectiveness of CVM in reducing costs compared to sitters |
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Bayen et al Journal of Medical Internet Research https://doi.org/10.2196/17551 |
Reduction of time on the ground related to real-time video detection of falls in memory care facilities: Observational study 2021
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The aim of the study was to evaluate the effect of SafelyYou Guardian (SYG )on early post-fall care. Hypothesis: Installation of SYG will reduce TOG and TUA |
PICOT Literature Evaluation Table Quantitative |
Six memory care facilities in California. |
SYG was installed in the bedrooms of consenting patients and recorded over ten months. |
Time on the ground (TOG) and time until stall assistance (TUA) were quantified in minutes and described using measures of central tendencies |
After six months of monitoring, TOG was reduced by three folds. |
Reduction of TOG can reduce secondary comorbid complications, reduce healthcare costs and enhance post-fall prognosis. Healthcare professionals can thus use video monitoring to reduce complications associated with falls.
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The SYG video monitoring monitors patients in their rooms for falls. It relates to my EBP since monitoring can help reduce fall rates and complications. |
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JacQualine Renee Abbe and Christian O’Keeffe Journal of Nursing Care Quality https://dx.doi.org/10.1097%2FNCQ.0000000000000502
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Continuous Video Monitoring: Implementation Strategies for Safe Patient Care and Identified Best Practices 2021
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The study aimed to report results of the implementation of CVM at a large medical academic center
Hypothesis: CVM is an evidence-based strategy to enhance patient safety |
Qualitative |
A large academic medical center in Pacific NorthWest |
Installation of CVM in patient rooms |
Reports on the results of CVM after implementation. |
CVM enhanced patient satisfaction, reduced healthcare costs, improved patient safety and reduced the need for sitters |
CVM should be considered as a cost-effective strategy to reduce the rate of patient falls. |
This article supports my EBP project. It has shown that CVM reduces healthcare costs and the need for sitters while reducing fall incidences. |
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Hall et al.
International Journal of Nursing Studies https://doi.org/10.1016/j.ijnurstu.2017.04.008 |
Implementing monitoring technologies in care homes for people with dementia: A qualitative exploration using normalization process theory.
2017 |
The study aimed to explore the facilitators and barriers of monitoring technologies in nursing homes |
Qualitative |
Three dementia-specialist care homes in North West England Sample: 9 residents, 9 families and 24 staff members |
Semi-structured interviews, 175 hours of observations and review of care records |
The Normalization Process Theory informed data collection.
The Framework Analysis approach was used to analyze data. |
The main reason for implementing monitoring technologies was to enhance patient safety. |
Implementation of technology is successful only when there are perceived benefits. Healthcare organizations should involve all stakeholders in technology implementation. |
The study observed that monitoring technologies enhance patient safety such as reducing fall rates. It thus supports my EBP |
References
Abbe, J. R., & O’Keeffe, C. (2021). Continuous Video Monitoring: Implementation Strategies for Safe Patient Care and Identified Best Practices. Journal of nursing care quality, 36(2), 137–142. https://doi.org/10.1097/NCQ.0000000000000502
Bayen, E., Jacquemot, J., Netscher, G., Agrawal, P., Tabb Noyce, L., & Bayen, A. (2017). Reduction in fall rate in dementia managed care through video incident review: Pilot study. Journal of Medical Internet Research, 19(10), e339. https://doi.org/10.2196/jmir.8095
Bayen, E., Nickels, S., Xiong, G., Jacquemot, J., Subramaniam, R., Agrawal, P., Hemraj, R., Bayen, A., Miller, B. L., & Netscher, G. (2021). Reduction of time on the ground related to real-time video detection of falls in memory care facilities: Observational study. Journal of Medical Internet Research, 23(6), e17551. https://doi.org/10.2196/17551
Cournan, M., Fusco-Gessick, B., & Wright, L. (2018). Improving patient safety through video monitoring. Rehabilitation Nursing, 43(2), 111-115. https://doi.org/10.1002/rnj.308
Hall, A., Wilson, C. B., Stanmore, E., & Todd, C. (2017). Implementing monitoring technologies in care homes for people with dementia: A qualitative exploration using normalization process theory. International Journal of Nursing Studies, 72, 60-70. https://doi.org/10.1016/j.ijnurstu.2017.04.008
Lapierre, N., Meunier, J., St-Arnaud, A., & Rousseau, J. (2018). An intelligent video-monitoring system to detect falls: A proof of concept. Journal of Enabling Technologies, 12(4), 155-168. https://doi.org/10.1108/jet-04-2018-0022
Ndoda, K., Fechner, J., Wordekemper, J., & Kniewel, M. (2019). Video monitoring for fall prevention in the hospital: Current evidence and considerations. Journal of Informatics Nursing, 4(4), 30-36. https://www.proquest.com/docview/2347793317?pq-origsite=gscholar&fromopenview=true
Purvis, S., Kaun, A., McKenna, A., Weber Viste, J., & Fedorov, E. (2018). Outcomes of clinical nurse specialist practice in the implementation of video monitoring at an academic medical center. Clinical Nurse Specialist, 32(2), 90-96. https://doi.org/10.1097/nur.0000000000000356
Quigley, P. A., Votruba, L., & Kaminski, J. (2019). Outcomes of patient-engaged video surveillance on falls and other adverse events. Clinics in Geriatric Medicine, 35(2), 253-263. https://doi.org/10.1016/j.cger.2019.01.005
Sand-Jecklin, K., Johnson, J., Tringhese, A., Daniels, C., & White, F. (2019). Video monitoring for fall prevention and patient safety. Journal of Nursing Care Quality, 34(2), 145-150. https://doi.org/10.1097/ncq.0000000000000355 PICOT Literature Evaluation Table
