Objective: To determine the effectiveness of bed alarm implementation on lowering fall rates Design: Quantitative experimental Setting: Long-term care facilities in Hays, Kansas Participants: 30 patients selected from the chosen long-term care facilities Methods: The efficiency of bed alarms will be evaluated with a independent t-test Results/Conclusions: Pending data collectio

Karlin, Maegan

Schoenecker, Jennifer

English

Parent partnerships are ways for educational staff, especially those who work with children with disabilities, to connect with families of students in meaningful ways that not only guide the education of the student but also show acceptance, provide encouragement and continue support to students and families beyond the school environment. Partnerships may include more than just schools and parents; they often invite other family members, friends and the community to be involved. These types of relationships can be very important to students with special needs because, “when schools, parents, families, and communities work together to support learning, students tend to earn higher grades, attend school more regularly, stay in school longer, and enroll in higher-level programs.” (NEA Education Policy and Practice Department, 2008.) This poster will examine current data on parent partnerships and provide suggestions that can create stronger partnerships, as recommended by survey results and as discovered in literature review. The information will be used to establish or build upon partnerships within our current districts

Glidewell, Lyndie

Fieger, Annette

Sturm, Bryon

Weese, Andrew

Fort Hays State University

Abstract Objective: To determine the effectiveness of bed alarm implementation on lowering fall rates Design: Quantitative experimental  Setting: Long-term care facilities in Hays, Kansas Participants: 30 patients selected from the chosen long-term care facilities  Methods: The efficiency of bed alarms will be evaluated with a independent t-test Results/Conclusions: Pending data collectionMethodology (Cont.)Sample Simple random sampleN=30 clients N= 15 clients with interventions n= 15 clients without interventions Inclusion criteria- clients who score a five or higher on the Hendrich II Fall Risk ModelAfter meeting the fall criteria, we will use simple random sample to decide which patients will be receiving the intervention.Ethical Considerations Informed consent must be obtained from all participantsUniversity in north-western Kansas IRB approval pendingLong-term care facilities’ IRB pending approvalData CollectionNursing staff will be documenting all patient fall occurrences into the patient’s medical charts.Research staff will access patient charts to acquire information regarding falls.  Data collection will be over a six month period. Results will be inputted into a password protected excel spreadsheet. Results/FindingsProjected Data Analysis MethodData will be analyzed using an independent t-test to compare the relationship between the IV and DV.Literature FindingsPrior research studies have found no significant difference in the use of bed alarms versus no bed alarms (Shorr et al, 2012)One study found that adequate staffing is necessary for proper patient safety (Capezutiet al., 2008)DiscussionImplications For NursingThis study will determine the effectiveness of bed alarms in a long-term care facility and will influence the need for further interventions to help reduce the risk of falls, promoting patient safety. Effectiveness of Bed Alarms on FallsMaegan Karlin, FHNS & Jenny Schoenecker, FHNSFort Hays State UniversityReferencesAnderson, O., Boshier, P., & Hanna, G. (2012). Interventions designed to prevent healthcare bed-related injuries in patients. Cochrane Database of Systematic Reviews, (1), N.PAG. Capezuti, E., Brush, B. L., Rabinowitz, H. U., & Secic, M. (2008, June 03). Bed-exit alarm effectiveness. Retrieved from https://www.sciencedirect.com/science/article/pii/S0167494308000861#!Gray-Miceli, D., DNSc, PRN, BC, FAANP. (2008, September 5). Fall Risk Assessment for Older Adults: The Hendrich II Model. Retrieved from https://www.managedhealthcareconnect.com/article/6786Preventing falls in hospitals. (2013, January 31). Retrieved from https://www.ahrq.gov/professionals/systems/hospital/fallpxtoolkit/fallpxtkover.htmlShorr, R. I., Chandler, A. M., Mion, L. C., Waters, T. M., Liu, M., Daniels, M. J., . . . Miller, S. T. (2012, November  20). Effects of an intervention to increase bed alarm use to prevent falls in hospitalized patients. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3549269/Subermaniam, K., Welfred, R., Subramanian, P., Chinna, K., Ibrahim, F., Mohktar, M. S., & Tan, M. P. (2017). The effectiveness of a wireless modular bed absence sensor device for fall prevention among older inpatients. Frontiers in Public Health, 4. https://doi.org/10.3389/f pubh.2016.00292ConclusionThe results of this study are pending. After collection and data analysis, the findings will be revealed to see if there is a statistical difference in the use of bed alarms. Shorr et al. (2012) concluded that there is no significant difference in the use of bed alarms versus no alarms.  Introduction Falls are a major concern among clients within health-care facilities, leading to injury and death. According to the Agency for Health-Care Research and Quality (2013), “Each year somewhere between 700,000 and 1,000,000 people in the United States fall in the hospital”. Research has been conducted and interventions have been implemented, but the effectiveness is still up for debate. Several research studies have been performed and published by universities and health-care officials, but no conclusive evidence supporting the effectiveness of alarms has been determined. PurposeThe purpose of this study is to evaluate the effectiveness of bed alarms in reducing the number of falls in long-term care facilities.IV: Bed alarms vs. no bed alarmsDV: Number of fallsFrameworkThe Hendrich II Fall Risk Model developed by Ann Hendrich was used as a framework for this study (see fig. 1). The model includes best practice approach for the targeted population and contains key fall factors that are relevant in determining fall risk for the study. The model was validated by a large control study and the risk factors are statistically significant in the relationship among patients and falls (Gray-Miceli, 2008).MethodologyResearch Design/InterventionsQuantitative Experimental  Proposed Research QuestionDo bed alarms in long-term care facilities reduce the number of falls among patients?Literature SourcesThis is a partial replication study that is based off of multiple studies done by universities in the United States. The main difference between this study and others previously conducted is the type of bed alarms that were used. This study will utilize Posey pressure alarm systems as illustrated in figure 2.Hendrich II Fall Risk ModelConfusion, Disorientation, Impulsivity 4Symptomatic depression 2Altered Elimination 1Dizziness, Vertigo 1Male gender 1Any administered antiepileptics 2Any administered benzodiazepines 1Get Up & Go TestAbility to rise in a single movement 0Pushes up, successful in one attempt 1Multiple attempts, but successful 3Unable to rise without assistance during test (OR if a medical order states the same and/or complete bedrest is ordered)*If unable to assess, document this on the patient chart with date and time4A score of 5 or greater = High Risk TOTAL SCOREFigure 1. Hendrich II Fall Risk Model (table adapted from Gray-Miceli, 2008)Figure 2. Posey pressure sensor pad and alarm system(Images retrieved from https://www.posey.com/sites/default/files/8283-2_2014_bed_sensor_pad_920x920.jpp & https://www.vitalitymedical.com/media/extendware/ewimageopt/media/inline/c2/c/posey-keepsafereg-deluxe-alarm-442.jpg)$ Posey· """"•-u..o-•::--""'()O-O>y) I = = .. ________ __ ~=2"=-=--=.:---·--... ---..... -,,. ___ ~ .. -·=~=.:.?:::::.: •::::::e.=::r~-.::.-.;-::..~~ .. :::;.·--::.--;:-~ ... --~ ·=.:..~=:''E'·=-:.::::.. ·---... --~-______ ,_ _  ..., ~T=?.i.=ffe="~ _,_,.. __ ., __ ~~~IE~; r : __ _ :::':t'~-=t.'::i:...V...,"':;;:-,.:::::::.."'::',:::::·~ -' ~- ............ _._, ...... ·~"':!:.:':!=~=---- ----- --· ·=::z:: .... -::=:=::::·~--::..--..:::=-.:;;:.~:.:!':';."'==",=:. -~~~-::;~~~~:z.;.~.;; '::;.."";,:"""'-'"'-"ft'"'"-.... ~-· .. --.. --.... _ ...... ..,_,_~·--::=:.:...""':""..::-------~-.!"'.::.:::~=.-::-.:::=.":""---··-.. ::-.=-=· .. -···--·--- -'!o=-":..7.~ ~\. ✓-?-~~ .:f /~-,, FORT HAYS STATE UNIVERSITY DEPARTMENT OF NURSING Forward thinking. World ready. '-------------------...1 

Removing Barriers to Promote Parent Partnerships

https://scholars.fhsu.edu/cgi/viewcontent.cgi?article=1047&amp;context=sacad

Effectiveness of Bed Alarms on Falls

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