The Effect of Kegel Exercise on the Quality of Life in Post Turp Patients at Muhammadiyah Hospital

Purwanto, Cucuk Rahmadi; Erniyawati, Yani; Harianto, Susilo; Muhalla, Hafna Ilmy; Okviasanti, Fanni; Wijayanti, Endah

doi:10.20473/jovin.v2i1.26179

Cited by 3 publications

(4 citation statements)

References 15 publications

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“…Previous studies and systematic reviews have shown that performing Kegel exercise after TURP can effectively improve urinary incontinence. [25][26][27][28] Older patients may question whether performing Kegel exercises will increase postoperative prostate bleeding or other problems. Most cases of postoperative bleeding may be associated with excessive physical exertion, such as climbing stairs, sexual intercourse, and constipation.…”

Section: Discussionmentioning

confidence: 99%

“…However, none of the patients performed the Kegel exercise because they did not experience stress urinary incontinence after TURP. Previous studies and systematic reviews have shown that performing Kegel exercise after TURP can effectively improve urinary incontinence 25–28 . Older patients may question whether performing Kegel exercises will increase postoperative prostate bleeding or other problems.…”

Section: Discussionmentioning

confidence: 99%

“…21 The IPSS comprises seven items and uses a 6-point Likert scale ranging from 0 (not at all) to 5 (almost always). The score ranges from 0 to 35, and scoring for each part categorizes the older patients in the following manner: mild symptoms (0-7), moderate symptoms (8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19), and severe symptoms (20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35). 22 The ASA is a subjective assessment of a patient's overall health that is based on six levels: score 1 = normal healthy patients (no systemic diseases, no smoking, no drinking or light drinking), 2 = patients with mild systemic disease but well-controlled, with a mild disease that does not affect daily activities; 3 = patients had multiple mild systemic diseases, or moderate or severe single system disease, the disease will limit daily activities; 4 = patients with severe systemic disease that limits daily activities and risks of death, 5 = patients at immediate risk of death who were not expected to survive for more than 24 h with or without surgery, 6 = brain-dead patients about to donate organs.…”

Section: Synthesis and Developmentmentioning

confidence: 99%

See 2 more Smart Citations

A feasibility study of urinary catheter removal protocol following transurethral prostatectomy procedure in older patients

Pan

Tsai

Cheng

et al. 2023

Int J of Uro Nursing

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We hypothesized that older patients who underwent a urinary catheter removal protocol would not have an increased risk of postoperative complications. We further hypothesized that the revised protocol would be more suitable for clinical application. This study aimed to develop a urinary catheter removal protocol after Transurethral Resection of the Prostate and to assess the feasibility of the protocol to support catheter removal and promote recovery of self‐voiding function. Delayed catheter removal after Transurethral Resection of the Prostate was associated with urinary tract infection and longer hospital stays. However, no strategy has been described to promote recovery of self‐voiding function after catheter removal after Transurethral Resection of the Prostate. The urinary catheter removal protocol was developed through expert consensus, including strategies for caring for urinary catheters, assessment of urinary catheter removal, and strategies after urinary catheter removal. Moreover, a quasi‐experimental design was adopted in the urology ward of a tertiary care medical centre in southern Taiwan. Patients aged ≥65 years who underwent Transurethral Resection of the Prostate were included. A total of 13 patients (intervention = 5; control = 8) were included in the feasibility evaluation. A urinary catheter removal protocol after Transurethral Resection of the Prostate was developed and the consensus among experts on the urinary catheter removal protocol was 99%. There were no significant differences in terms of bleeding, urine retention, urinary tract infection, or re‐catheterization between the two groups. However, in the intervention group, the pain score decreased significantly on the second day after Transurethral Resection of the Prostate. This revised urinary catheter removal protocol after Transurethral Resection of the Prostate may be suitable for clinical applications. However, small size reduces the statistical power of the findings and further studies are needed to examine the current protocol does not have an increased risk of postoperative complications.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Synthesis and Developmentmentioning

confidence: 99%

See 1 more Smart Citation

A feasibility study of urinary catheter removal protocol following transurethral prostatectomy procedure in older patients

Pan

Tsai

Cheng

et al. 2023

Int J of Uro Nursing

View full text Add to dashboard Cite

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“…The ACO approach is used to optimize the weights of neural networks because the BP method might become stuck in a local optimum when applied to large datasets. In order to increase the performance of an ACO training network, it is necessary to use the better weight as the starting point for further optimization using the BP technique [9]. After conducting a thorough examination, Efat et al came to the conclusion that the application of artificial intelligence and expert system design concepts could be beneficial to doctors in the future [10].…”

Section: Introductionmentioning

confidence: 99%

Application of Optimized BP Neural Network Model for the Training Load Prediction in Physical Education Teaching

Cheng

2022

Wireless Communications and Mobile Computing

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Load prediction is mandatory for analyzing the working condition of the teachers when new courses are to be introduced or change in the learning environment. During complex environment, the seasonal prediction about sports has to be analyzed and designs the physical education training program for the students to increase the fitness of the students. In this study, load prediction in physical education is performed with the implementation of a back propagation neural network model with the support of genetic algorithm and termed as BPNNGA. The proposed prediction algorithm is compared with the existing algorithms such as back propagation neural network, K -means neural network, and random forest algorithm. The results proved that the proposed algorithm outperforms the existing algorithms with the accuracy percentage of 99%.

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Design of the Exercise Load Data Monitoring System for Exercise Training Based on the Neural Network

Qin

Feng

2021

Journal of Healthcare Engineering

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In order to monitor the sports load data of athletes in sports training, this paper studies the methods and systems of sports load monitoring and fatigue warning based on neural network technology. In this paper, the neural network parallel optimization algorithm based on big data is used to accurately estimate the motion load and intensity according to the determined motion mode and acceleration data, so as to realize the real-time monitoring of the exercise training. The results show that the value of η is usually small to ensure that the weight correction can truly follow the direction of the gradient descent. In this paper, 176 samples were extracted from the monitoring data collected by the “National Tennis Team Information Platform,” 160 of which were selected as training samples and the other 16 as test samples. Ant colony size M = 20. The minimum value Wmin of the weight interval is −2, and the maximum value Wmax is 2. The maximum number of iterations is set to 200. σ = 1; that is, only one optimal solution is retained. The domain is divided into 60 parts evenly; that is, r = 60. Generally, η can be taken as any number [28] between [10-3, 10], but the value is usually small to ensure that the weight correction can truly follow the direction of the gradient descent. In this paper, the value is 0.003. In the early warning stage of exercise fatigue, reasonable measurement units of exercise fatigue time were divided according to the characteristics of different exercise items. It is proved that the Bayesian classification algorithm can effectively avoid the sports injury caused by overtraining by warning the fatigue and preventing the sports injury caused by overtraining.

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The Effect of Kegel Exercise on the Quality of Life in Post Turp Patients at Muhammadiyah Hospital

Cited by 3 publications

References 15 publications

A feasibility study of urinary catheter removal protocol following transurethral prostatectomy procedure in older patients

A feasibility study of urinary catheter removal protocol following transurethral prostatectomy procedure in older patients

Application of Optimized BP Neural Network Model for the Training Load Prediction in Physical Education Teaching

Design of the Exercise Load Data Monitoring System for Exercise Training Based on the Neural Network

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