Feasibility and Usability of Kegel Exercise Pregnancy Training App (KEPT App) among Pregnant Women with Urinary Incontinence
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Participants
2.3. Intervention: KEPT App (Interactive Android)
2.4. Outcome Measures
Outcome | Description |
---|---|
Feasibility KEPT app | To assess the feasibility of the app after using the app for two months.
|
Usability KEPT app | To assess the app’s usability using the Malay version of the mHealth Application Usability Questionnaire (MAUQ) interactive after using the apps for two months. |
Urinary incontinence | To assess the severity of urinary incontinence symptoms at baseline and two months post interventions using the International Consultation on Incontinence Questionnaire-Urinary Incontinence Short Form (ICIQ-UI SF) [35,36]. |
Quality of life | To assess the quality of life among pregnant women with UI at baseline, and two months post interventions. International Consultation on Incontinence Questionnaire Urinary Incontinence-Lower Urinary Tract Symptom quality of life (ICIQ-LUTSqol) [35,36]. |
PFMT knowledge, attitude and practice | To assess the knowledge, attitude and practices towards PFMT at baseline, two months post interventions, using the Knowledge, Attitude and Practice towards Pelvic Floor Muscle Training [37] |
PFMT self-efficacy | To measure the self-efficacy score at baseline, two-months post-intervention using the Self-Efficacy Scale For Practicing Pelvic Floor Exercise Questionnaire (SESPPFE) [38] |
PFMT adherence | To assess the PFMT adherence at baseline and two months post interventions using the Exercise Adherence Rating Scale (EARS) [39]. |
2.5. Sample Size
2.6. Randomisation and Blinding
2.7. Statistical Methods
3. Results
3.1. Participant Characteristics
3.2. Feasibility of the KEPT App
3.3. Usability of the KEPT App
3.4. The Preliminary Effect of the KEPT App
3.5. KEPT App Features That Assisted Them to Perform PFMT
4. Discussion
Limitation of the Study
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Abrams, P.; Cardozo, L.; Fall, M.; Griffiths, D.; Rosier, P.; Ulmsten, U.; Van Kerrebroeck, P.; Victor, A.; Wein, A. Standardisation Sub-Committee of the International Continence Society. The standardisation of terminology of lower urinary tract function: Report from the standardisation sub-committee of the International Continence Society. Neurourol Urodyn. 2002, 21, 167–178. [Google Scholar] [CrossRef] [PubMed]
- Moossdorff-Steinhauser, H.F.A.; Berghmans, B.C.M.; Spaanderman, M.E.A.; Bols, E.M.J. Prevalence, incidence and bothersomeness of urinary incontinence in pregnancy: A systematic review and meta-analysis. Int. Urogynecol. J. 2021, 32, 1633–1652. [Google Scholar] [CrossRef] [PubMed]
- Jaffar, A.; Mohd-Sidik, S.; Nien, F.C.; Fu, G.Q.; Talib, N.H. Urinary incontinence and its association with pelvic floor muscle exercise among pregnant women attending a primary care clinic in Selangor, Malaysia. PLoS ONE 2020, 15, e0236140. [Google Scholar] [CrossRef] [PubMed]
- Jaffar, A.; Mohd-Sidik, S.; Abd Manaf, R.; Foo, C.N.; Gan, Q.F.; Saad, H. Quality of life among pregnant women with urinary incontinence: A cross-sectional study in a Malaysian primary care clinic. PLoS ONE 2021, 16, e0250714. [Google Scholar] [CrossRef] [PubMed]
- Woodley, S.J.; Lawrenson, P.; Boyle, R.; Cody, J.D.; Mørkved, S.; Kernohan, A.; Hay-Smith, E.J.C. Pelvic floor muscle training for preventing and treating urinary and faecal incontinence in antenatal and postnatal women. Cochrane Database Syst. Rev. 2020, 5, CD007471. [Google Scholar] [CrossRef] [PubMed]
- Nambiar, A.K.; Arlandis, S.; Bø, K.; Cobussen-Boekhorst, H.; Costantini, E.; de Heide, M.; Farag, F.; Groen, J.; Karavitakis, M.; Lapitan, M.C.; et al. European Association of Urology Guidelines on the Diagnosis and Management of Female Non-neurogenic Lower Urinary Tract Symptoms. Part 1: Diagnostics, Overactive Bladder, Stress Urinary Incontinence, and Mixed Urinary Incontinence. Eur. Urol. 2022; in press. [Google Scholar] [CrossRef] [PubMed]
- Terry, R.; Jarvie, R.; Hay-Smith, J.; Salmon, V.; Pearson, M.; Boddy, K.; MacArthur, C.; Dean, S. “Are you doing your pelvic floor?” An ethnographic exploration of the interaction between women and midwives about pelvic floor muscle exercises (PFME) during pregnancy. Midwifery 2020, 83, 102647. [Google Scholar] [CrossRef] [PubMed]
- Woodley, S.J.; Hay-Smith, E.J.C. Narrative review of pelvic floor muscle training for childbearing women—why, when, what, and how. Int. Urogynecol. J. 2021, 32, 1977–1988. [Google Scholar] [CrossRef]
- Cawley, C.; Buckenmeyer, H.; Jellison, T.; Rinaldi, J.B.; Vartanian, K.B. Effect of a health system-sponsored mobile app on perinatal health behaviors: Retrospective cohort study. JMIR mHealth uHealth 2020, 8, e17183. [Google Scholar] [CrossRef]
- Karsh, B.-T. Beyond usability: Designing effective technology implementation systems to promote patient safety. Qual. Saf. Health Care 2004, 13, 388–394. [Google Scholar] [CrossRef] [Green Version]
- Nielsen, J. Executive Summary. In Usability Engineering; Elsevier: Amsterdam, The Netherlands, 1993; pp. 1–21. [Google Scholar]
- Llorens-Vernet, P.; Miró, J. Standards for mobile health-related apps: Systematic review and development of a guide. JMIR mHealth uHealth 2020, 8, e13057. [Google Scholar] [CrossRef] [PubMed]
- Hayman, M.; Alfrey, K.-L.; Cannon, S.; Alley, S.; Rebar, A.L.; Williams, S.; Short, C.E.; Altazan, A.; Comardelle, N.; Currie, S.; et al. Quality, features, and presence of behavior change techniques in mobile apps designed to improve physical activity in pregnant women: Systematic search and content analysis. JMIR mHealth uHealth 2021, 9, e23649. [Google Scholar] [CrossRef] [PubMed]
- Tinius, R.A.; Polston, M.; Bradshaw, H.; Ashley, P.; Greene, A.; Parker, A.N. An assessment of mobile applications designed to address physical activity during pregnancy and postpartum. Int. J. Exerc. Sci. 2021, 14, 382–399. [Google Scholar] [PubMed]
- Ho, L.; Macnab, A.; Matsubara, Y.; Peterson, K.; Tsang, B.; Stothers, L. Rating of Pelvic Floor Muscle Training Mobile Applications for Treatment of Urinary Incontinence in Women. Urology 2020, 150, 92–98. [Google Scholar] [CrossRef] [PubMed]
- Chatzipavlou, I.A.; Christoforidou, S.A.; Vlachopoulou, M. A recommended guideline for the development of mHealth Apps. mHealth 2016, 2, 21. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Oinas-Kukkonen, H.; Harjumaa, M. Towards Deeper Understanding of Persuasion in Software and Information Systems. In Proceedings of the First International Conference on Advances in Computer-Human Interaction, Martinique, France, 10–15 February 2008; pp. 200–205. [Google Scholar]
- Oinas-Kukkonen, H.; Harjumaa, M. Persuasive systems design: Key issues, process model, and system features. Commun. Assoc. Inf. Syst. 2009, 24, 28. [Google Scholar] [CrossRef]
- Win, K.T.; Roberts, M.R.H.; Oinas-Kukkonen, H. Persuasive system features in computer-mediated lifestyle modification interventions for physical activity. Inform. Health Soc. Care 2019, 44, 376–404. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Patel, M.L.; Wakayama, L.N.; Bennett, G.G. Self-Monitoring via Digital Health in Weight Loss Interventions: A Systematic Review among Adults with Overweight or Obesity. Obesity 2021, 29, 478–499. [Google Scholar] [CrossRef]
- Wang, Y.; Min, J.; Khuri, J.; Xue, H.; Xie, B.; Kaminsky, L.A.; Cheskin, L.J. Effectiveness of Mobile Health Interventions on Diabetes and Obesity Treatment and Management: Systematic Review of Systematic Reviews. JMIR mHealth uHealth 2020, 8, e15400. [Google Scholar] [CrossRef]
- Coorey, G.M.; Neubeck, L.; Mulley, J.; Redfern, J. Effectiveness, acceptability and usefulness of mobile applications for cardiovascular disease self-management: Systematic review with meta-synthesis of quantitative and qualitative data. Eur. J. Prev. Cardiol. 2018, 25, 505–521. [Google Scholar] [CrossRef]
- Martinez-Millana, A.; Jarones, E.; Fernandez-Llatas, C.; Hartvigsen, G.; Traver, V. App Features for Type 1 Diabetes Support and Patient Empowerment: Systematic Literature Review and Benchmark Comparison. JMIR mHealth uHealth 2018, 6, e12237. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Lobo, E.H.; Frølich, A.; Kensing, F.; Rasmussen, L.J.; Livingston, P.M.; Grundy, J.; Abdelrazek, M. mHealth applications to support caregiver needs and engagement during stroke recovery: A content review. Res. Nurs. Health. 2021, 44, 213–225. [Google Scholar] [CrossRef] [PubMed]
- Jaffar, A.; Tan, C.-E.; Mohd-Sidik, S.; Admodisastro, N.I.; Goodyear-Smith, F. Persuasive Technology in an mHealth App Designed for Pelvic Floor Muscle Training Among Women: Systematic Review. JMIR mHealth uHealth, 2022; in press. [Google Scholar] [CrossRef]
- Jaffar, A.; Mohd-Sidik, S.; Foo, C.N.; Admodisastro, N.; Abdul Salam, S.N.; Ismail, N.D. Improving Pelvic Floor Muscle Training Adherence Among Pregnant Women: Validation Study. JMIR Hum. Factors 2022, 9, e30989. [Google Scholar] [CrossRef] [PubMed]
- Jaffar, A.; Mohd Sidik, S.; Foo, C.N.; Muhammad, N.A.; Abdul Manaf, R.; Fadhilah Ismail, S.I.; Suhaili, N. Protocol of a Single-Blind Two-Arm (Waitlist Control) Parallel-Group Randomised Controlled Pilot Feasibility Study for mHealth App among Incontinent Pregnant Women. Int. J. Environ. Res. Public Health 2021, 18, 4792. [Google Scholar] [CrossRef] [PubMed]
- Vo, V.; Auroy, L.; Sarradon-Eck, A. Patients’ Perceptions of mHealth Apps: Meta-Ethnographic Review of Qualitative Studies. JMIR mHealth uHealth 2019, 7, e13817. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Jaffar, A.; Sidik, S.M.; Foo, C.N.; Muhammad, N.A.; Manaf, R.A.; Suhaili, N. Preliminary Effectiveness of mHealth App-Based Pelvic Floor Muscle Training among Pregnant Women to Improve Their Exercise Adherence: A Pilot Randomised Control Trial. Int. J. Environ. Res. Public Health 2022, 19, 2332. [Google Scholar] [CrossRef]
- Shrestha, B.; Dunn, L. The Declaration of Helsinki on Medical Research involving Human Subjects: A Review of Seventh Revision. J. Nepal. Health Res. Counc. 2020, 17, 548–552. [Google Scholar] [CrossRef]
- Bo, K.; Berghmans, B.; Morkved, S.; Van Kampen, M. Evidence-Based Physical Therapy for the Pelvic Floor-E-Book: Bridging Science and Clinical Practice, 2nd ed.; Elsevier Health Sciences: London, UK, 2014. [Google Scholar]
- Jaffar, A.; Sidik, S.M.; Admodisastro, N.; Mansor, E.I.; Fong, L.C. Expert’s Usability Evaluation of the Pelvic Floor Muscle Training mHealth App for Pregnant Women. Int. J. Adv. Comput. Sci. Appl. 2021, 12, 165–173. [Google Scholar] [CrossRef]
- Proctor, E.; Silmere, H.; Raghavan, R.; Hovmand, P.; Aarons, G.; Bunger, A.; Griffey, R.; Hensley, M. Outcomes for Implementation Research: Conceptual Distinctions, Measurement Challenges, and Research Agenda. Adm. Policy Ment. Health Ment. Health Serv. Res. 2011, 38, 65–76. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Zhou, L.; Bao, J.; Setiawan, I.M.A.; Saptono, A.; Parmanto, B. The mhealth app usability questionnaire (MAUQ): Development and validation study. JMIR mHealth uHealth 2019, 7, e11500. [Google Scholar] [CrossRef] [PubMed]
- Avery, K.; Donovan, J.; Peters, T.J.; Shaw, C.; Gotoh, M.; Abrams, P. ICIQ: A brief and robust measure for evaluating the symptoms and impact of urinary incontinence. Neurourol. Urodyn. 2004, 23, 322–330. [Google Scholar] [CrossRef] [PubMed]
- Lim, R.; Liong, M.L.; Lau, Y.K.; Yuen, K.H. Validity, reliability, and responsiveness of the ICIQ-UI SF and ICIQ-LUTSqol in the Malaysian population. Neurourol. Urodyn. 2017, 36, 138–442. [Google Scholar] [CrossRef] [PubMed]
- Rosediani, M.; Juliawati, M.; Norwati, D. Knowledge, attitude and practice towards pelvic floor muscle exercise among pregnant women attending antenatal clinic in Universiti Sains Malaysia Hospital, Malaysia. Int. Med. J. 2012, 19, 37–38. [Google Scholar]
- Sacomori, C.; Cardoso, F.L.; Porto, I.P.; Negri, N.B. The development and psychometric evaluation of a self-efficacy scale for practicing pelvic floor exercises. Braz. J. Phys. Ther. 2013, 17, 336–342. [Google Scholar] [CrossRef] [PubMed]
- Newman-Beinart, N.A.; Norton, S.; Dowling, D.; Gavriloff, D.; Vari, C.; Weinman, J.A.; Godfrey, E.L. The development and initial psychometric evaluation of a measure assessing adherence to prescribed exercise: The Exercise Adherence Rating Scale (EARS). Physiotherapy 2017, 103, 180–185. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Leon, A.C.; Davis, L.L.; Kraemer, H.C. The role and interpretation of pilot studies in clinical research. J. Psychiatr. Res. 2011, 45, 626–629. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Billingham, S.A.; Whitehead, A.L.; Julious, S.A. An audit of sample sizes for pilot and feasibility trials being undertaken in the United Kingdom registered in the United Kingdom Clinical Research Network database. BMC Med. Res. Methodol. 2013, 13, 1. [Google Scholar] [CrossRef] [Green Version]
- Julious, S.A. Sample size of 12 per group rule of thumb for a pilot study. Pharm. Stat. 2005, 4, 287–291. [Google Scholar] [CrossRef]
- Tu, C.; Benn, E.K.T. RRApp, a robust randomization app, for clinical and translational research. J. Clin. Transl. Sci. 2017, 1, 323–327. [Google Scholar] [CrossRef] [Green Version]
- Morgan, G.A.; Barrett, K.C.; Leech, N.L.; Gloeckner, G.W. IBM SPSS for Introductory Statistics: Use and Interpretation; Routledge: New York, NY, USA, 2019. [Google Scholar] [CrossRef]
- Abu-Bader, S.H. Using Statistical Methods in Social Science Research: With a Complete SPSS Guide; Oxford University Press: New York, NY, USA, 2021. [Google Scholar]
- Kim, H.-Y. Statistical notes for clinical researchers: Assessing normal distribution (2) using skewness and kurtosis. Restor. Dent. Endod. 2013, 38, 52. [Google Scholar] [CrossRef] [PubMed]
- O’Sullivan, T.A.; Cooke, J.; McCafferty, C.; Giglia, R. Online Video Instruction on Hand Expression of Colostrum in Pregnancy is an Effective Educational Tool. Nutrients 2019, 11, 883. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Bol, N.; Helberger, N.; Weert, J.C.M. Differences in mobile health app use: A source of new digital inequalities? Inf. Soc. 2018, 34, 183–193. [Google Scholar] [CrossRef] [Green Version]
- Wang, X.; Xu, X.; Luo, J.; Chen, Z.; Feng, S. Effect of app-based audio guidance pelvic floor muscle training on treatment of stress urinary incontinence in primiparas: A randomized controlled trial. Int. J. Nurs. Stud. 2020, 104, 103527. [Google Scholar] [CrossRef] [PubMed]
Age | Level of Education | Ease of Use | System Information | Usefulness | Feasibility | |
---|---|---|---|---|---|---|
Age | 1 | −0.613 | 0.299 | 0.427 | 0.379 | 0.394 |
Level of education # | −0.613 | 1 | −0.656 * | −0.805 ** | −0.805 ** | −0.813 ** |
Ease of use | 0.299 | −0.656 * | 1 | 0.949 ** | 0.839 ** | 0.545 |
System information | 0.427 | −0.805 ** | 0.949 ** | 1 | 0.959 ** | 0.501 |
Usefulness | 0.379 | −0.805 ** | 0.839 ** | 0.959 ** | 1 | 0.456 |
Feasibility | 0.394 | −0.813 ** | 0.545 | 0.501 | 0.456 | 1 |
Statements | Median (IQR) |
---|---|
(1) How many stars would you rate to recommend this app to your friends? | 4.0 (2) |
(2) How many stars would you rate the quality content of this app? | 3.7 (1.25) * |
(3) How many stars would you rate the comfort of using this app? | 4.0 (2) |
(4) How many stars would you rate the simplicity of using this app? | 4.0 (2) |
(5) How many stars would you rate using this app’s recruitment process? | 3.8 (2) |
(6) How many stars would you rate the app’s quality? | 3.9 (2) |
Statements | Score Mean (SD) |
---|---|
The app was easy to use. | 4.9 (0.99) |
It was easy for me to learn to use the app. | 5.1 (0.88) |
I like the interface of the app. | 5.0 (1.1) |
The information in the app was well organised, so I could easily find the information I needed. | 5.1 (0.99) |
I feel comfortable using this app in social settings. | 5.1 (0.99) |
The amount of time involved in using this app has been fitting for me. | 4.9 (1.2) |
I would use this app again. | 5.0 (1.2) |
Overall, I am satisfied with this app. | 5.1 (0.99) |
Whenever I made a mistake using the app, I could recover easily and quickly. | 5 (1.1) |
This mHealth app provides an acceptable way to receive healthcare services. | 5 (1.3) |
The app adequately acknowledged and provided information to let me know the progress of my action. | 4.9 (1.2) |
The navigation was consistent when moving between screens. | 4.9 (1.2) |
The interface of the app allowed me to use all the functions (such as entering information, responding to reminders, viewing information) offered by the app. | 5.1 (0.99) |
This app has all the functions and capabilities I expected it to have. | 5 (1.1) |
The app would be useful for my health and well-being. | 5.1 (0.99) |
The app improved my access to healthcare services. | 4.8 (1.4) |
The app helped me manage my health effectively. | 4.9 (1.2) |
The app made it convenient for me to communicate with my healthcare provider. | 4.8 (1.4) |
Using the app, I had many more opportunities to interact with my healthcare provider. | 4.8 (1.4) |
I felt confident that any information I sent to my provider using the app would be received. | 4.8 (1.4) |
I felt comfortable communicating with my healthcare provider using the app. | 5.0 (1.1) |
Variable | Baseline Mean (SD) | Post-Intervention Mean (SD) | 95% CI | p-Value |
---|---|---|---|---|
PFMT knowledge | 9.10 (3.51) | 11.00 (2.31) | −4.46–0.66 | 0.127 |
PFMT attitude | 27.40 (8.54) | 32.90 (4.58) | −13.61–2.61 | 0.159 |
PFMT practice | 8.90 (3.38) | 10.30 (2.66) | −2.99–0.19 | 0.077 |
PFMT self-efficacy | 42.35 (25.55) | 60.58 (18.14) | 11.33–43.86 | 0.142 |
PFMT adherence | 14.30 (5.47) | 12.00 (4.29) | −3.01–7.61 | 0.353 |
Severity UI | 8.10 (2.31) | 6.20 (2.78) | 0.23–3.57 | 0.03 |
Quality of life | 30.80 (7.33) | 27.80 (7.58) | −0.55–6.50 | 0.085 |
KEPT App | Persuasive System Design | Users (N = 10) |
---|---|---|
Educational video by a registered physiotherapist with a “model” | System credibility Expertise and authority | 10 (100) |
Training timer according to the user’s confidence and capability | Primary support Tailoring | 4 (40.0) |
The KEPT app produced by the university | System credibility Trustworthiness | 2 (20.0) |
Frequent asked questions (FAQs) to provide further information | Primary support Tailoring | 2 (20.0) |
Calendar charting of the UI symptoms | Primary task Self-monitoring | 3 (30.0) |
Regular daily reminder to perform PFMT as their routine behaviour | Dialogue support Reminder | 5 (50) |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Jaffar, A.; Muhammad, N.A.; Mohd Sidik, S.; Admodisastro, N.; Abdul Manaf, R.; Foo, C.N.; Suhaili, N. Feasibility and Usability of Kegel Exercise Pregnancy Training App (KEPT App) among Pregnant Women with Urinary Incontinence. Int. J. Environ. Res. Public Health 2022, 19, 3574. https://doi.org/10.3390/ijerph19063574
Jaffar A, Muhammad NA, Mohd Sidik S, Admodisastro N, Abdul Manaf R, Foo CN, Suhaili N. Feasibility and Usability of Kegel Exercise Pregnancy Training App (KEPT App) among Pregnant Women with Urinary Incontinence. International Journal of Environmental Research and Public Health. 2022; 19(6):3574. https://doi.org/10.3390/ijerph19063574
Chicago/Turabian StyleJaffar, Aida, Noor Azimah Muhammad, Sherina Mohd Sidik, Novia Admodisastro, Rosliza Abdul Manaf, Chai Nien Foo, and Nazhatussima Suhaili. 2022. "Feasibility and Usability of Kegel Exercise Pregnancy Training App (KEPT App) among Pregnant Women with Urinary Incontinence" International Journal of Environmental Research and Public Health 19, no. 6: 3574. https://doi.org/10.3390/ijerph19063574
APA StyleJaffar, A., Muhammad, N. A., Mohd Sidik, S., Admodisastro, N., Abdul Manaf, R., Foo, C. N., & Suhaili, N. (2022). Feasibility and Usability of Kegel Exercise Pregnancy Training App (KEPT App) among Pregnant Women with Urinary Incontinence. International Journal of Environmental Research and Public Health, 19(6), 3574. https://doi.org/10.3390/ijerph19063574