Impact of Timely Assessment for Risk of Fall by Using Morse Scale in Adult Medical & Surgical Unit of Tertiary Care Hospital in Pakistan

Main Article Content

Shazia Khan
Kashif Shahzad

Abstract

Background: Patient falls in healthcare settings are a significant concern, impacting patient safety and healthcare outcomes. The Morse Fall Scale (MFS) has been widely recognized as an effective tool for assessing fall risk among hospitalized patients. Despite its widespread use, there is a need for a comprehensive evaluation of its effectiveness, implementation challenges, and the perceptions of healthcare staff towards its utility.


Objective: This study aims to evaluate the effectiveness of the MFS in reducing patient falls in a tertiary care hospital and to assess healthcare staff's perceptions regarding its usability and impact on patient care.


Methods: A retrospective data analysis was conducted, examining fall events from July 2020 to December 2020, before the implementation of the MFS, and from January 2021 to May 2021, after its implementation. The study included all adult patients admitted to the medical and surgical units, excluding those from ambulatory care units and the emergency department. Staff perceptions were gauged through a survey assessing the ease of use, time efficiency, and effectiveness of the MFS in identifying high-risk patients. Data analysis utilized SPSS version 25 for statistical evaluation.


Results: The implementation of the MFS was associated with a significant reduction in fall rates, from a total of 9 falls in the six months prior to implementation to zero falls in the five months post-implementation. Survey results indicated that 89% of nurses found the MFS quick and easy to use, 63% reported that it took less than 3 minutes to complete an assessment, 98% found the scale easy to understand, 95% stated it helped identify high-risk patients, and 97% felt comfortable tailoring interventions based on the MFS scores.


Conclusion: The MFS effectively reduced fall rates in the hospital setting, with healthcare staff affirming its ease of use and effectiveness in identifying at-risk patients. These findings support the continued use and further refinement of the MFS as a critical component of patient safety strategies.

Article Details

How to Cite
Khan, S., & Shahzad, K. (2024). Impact of Timely Assessment for Risk of Fall by Using Morse Scale in Adult Medical & Surgical Unit of Tertiary Care Hospital in Pakistan. Journal of Health and Rehabilitation Research, 4(1), 814–818. https://doi.org/10.61919/jhrr.v4i1.492
Section
Articles

References

Ali M, Dilber M, Bhatia MR, Mari AR, Shaikh HA, Brohi SR. Pattern of head injuries in patients admitted in tertiary trauma Centre. The Professional Medical Journal. 2020;27(05):921-8.

Aquino A. Predicting the Risk of Falling with Artificial Intelligence. 2023.

Bhatia MC, Wanderer JP, Li G, Ehrenfeld JM, Vasilevskis EE. Using phenotypic data from the Electronic Health Record (EHR) to predict discharge. BMC geriatrics. 2023;23(1):424.

Cannon CL. Reducing Inpatient Falls and Falls with Injury. 2022.

Cox A. Using the HIGH 5 Fall Bundle to Reduce Patient Falls in the Medical-Surgical Unit 2022.

Dunn K. Reducing Falls Among Adult Psychiatric Inpatients Using K-cards with the EPI, EPFRAT Factors, and Nursing Judgment. 2023.

Fitzpatrick T. Decreasing Falls on a Locked Inpatient Psychiatric Unit. 2022.

Huang X, Yan J, Yang T, Yi Q, Shen Z, Yang G. Cost-effectiveness of Morse Fall Scale assessment in fall prevention care in hospitalized patients. Zhong nan da xue xue bao Yi xue ban = Journal of Central South University Medical sciences. 2021;46 5:529-35.

Hwang J-I, Kim SW. Using an early warning score for nurse shift patient handover: Before-and-after study. Asian Nursing Research. 2022;16(1):18-24.

Kim YJ, Choi KO, Cho S-H, Kim SJ. Validity of the Morse Fall Scale and the Johns Hopkins Fall Risk Assessment Tool for fall risk assessment in an acute care setting. Journal of clinical nursing. 2021.

Larsen DA. Development and Evaluation of a Nurse Leader-Directed Fall Prevention Program in a Regional Medical Center: Wilmington University (Delaware); 2021.

Lindberg DS, Prosperi MCF, Bjarnadottir RI, Thomas J, Crane M, Chen Z, et al. Identification of important factors in an inpatient fall risk prediction model to improve the quality of care using EHR and electronic administrative data: A machine-learning approach. International journal of medical informatics. 2020;143:104272 -

Najafpour Z, Arab M, Rashidian A, Shayanfard K, Yaseri M, Biparva-Haghighi S. A stepped-wedge cluster-randomized controlled trial of multi-interventional approach for fall prevention. Quality Management in Healthcare. 2023:10.1097.

Pidani AS, Ahmad T, Panjwani N, Noordin S. Prevention of falls in hospital: Audit report from a tertiary care hospital of Pakistan. JPMA The Journal of the Pakistan Medical Association. 2021;71(8 (Suppl 5)):S79.

Raghu S, Raghu M, Marla AP, Kotian SS, Kumari N. Fall-Related injuries and their prevention strategies of in-patient population in tertiary health care setup. QAI Journal for Healthcare Quality and Patient Safety. 2022;3(1):1-7.

Ramli R, Chong EGM, Yau WK. 100 Knowledge of Nurses about the Morse Falls Scale. Age and Ageing. 2019;48.

Reis JDd, Sa-Couto P, Mateus J, Simões CJ, Rodrigues A, Sardo P, et al. Impact of Wound Dressing Changes on Nursing Workload in an Intensive Care Unit. International journal of environmental research and public health. 2023;20(7):5284.

Sackinger D, Carlin K, Zierler B. GRAF-PIF Fall Risk Assessment Tool: Predictive Accuracy in a Children's Hospital. Pediatric Nursing. 2021;47(4):189-0.

Sardo PMG, Simões C, Alvarelhão JJM, Simões JL, Melo EM. Fall risk assessment: retrospective analysis of Morse Fall Scale scores in Portuguese hospitalized adult patients. Applied nursing research : ANR. 2016;31:34-40.

Chen-Wishart M, Sono H, Vogenauer S. Invalidity: Oxford University Press; 2022.

Chen-Wishart M, Vogenauer S. Contents of Contracts and Unfair Terms: Oxford University Press, USA; 2020.

Lim SG, Yam SW. The level of knowledge and competency in the use of the Morse Fall Scale as an assessment tool in the prevention of patient falls. IeJSME. 2016;10(3):14-23.

Smith MD. Impact of Hourly Rounding on Fall Rates: A Benchmark Paper. 2020.

Stockwell‐Smith G, Adeleye A, Chaboyer W, Cooke M, Phelan M, Todd Ja, et al. Interventions to prevent in‐hospital falls in older people with cognitive impairment for further research: A mixed studies review. Journal of Clinical Nursing. 2020;29(17-18):3445-60.

Wanderer J, Li G, Ehrenfeld J, Vasilevskis E, Bhatia M. Using phenotypic data from the Electronic Health Record (EHR) to predict discharge. BMC Geriatrics. 2023;23(1).