Penggunaan Teknologi Kesehatan dalam Mendukung Manajemen Kesehatan Anak setelah Menjalani Perawatan

  • Friska Nababan Universitas Indonesia
  • Siti Chodijah Universitas Indonesia
  • Dessie Wanda Universitas Indonesia

Abstract

This study aims to discover how health technology-based applications support managing children's health, whether carried out by the patients themselves or their parents. The method used is a systematic review by searching articles through online databases, including PubMed, Science Direct, Ebsco, Sage Publication, Cochrane Library-Cochrane Reviews, Embase, CINAHL, and Clinical Key Nursing. The results showed that using health technology-based applications affected increasing self-confidence, controlling disease conditions, competency and knowledge levels, parental self-efficacy in caring for children, increasing medication adherence, and improving children's quality of life. Apart from that, the effectiveness of time and materials also has a positive impact on the use of health technology. In conclusion, health technology-based applications provide a positive influence or effect that supports parents (caregivers) in managing their children's health well. Increasing parents' self-confidence, self-efficacy, knowledge, and competence in caring for children will accelerate parents' transition to caring for children at home.

 

Keywords: Mobile Application, Home Care, Child Health Management, Health Technology

References

Auger, K. A., Shah, S. S., Tubbs-Cooley, H. L., Sucharew, H. J., Gold, J. M., Wade-Murphy, S., Statile, A. M., Bell, K. D., Khoury, J. C., Mangeot, C., & Simmons, J. M. (2018). Effects of a 1-Time Nurse-Led Telephone Call after Pediatric Discharge the H2O II Randomized Clinical Trial. JAMA Pediatrics, 172(9), 1–8. https://doi.org/10.1001/jamapediatrics.2018.1482

Bravo, L., Killela, M. K., Reyes, B. L., Santos, K. M. B., Torres, V., Huang, C. C., & Jacob, E. (2020). Self-Management, Self-Efficacy, and Health-Related Quality of Life in Children with Chronic Illness and Medical Complexity. Journal of Pediatric Health Care, 34(4), 304–314. https://doi.org/10.1016/j.pedhc.2019.11.009

Chaar, D., Shin, J. Y., Mazzoli, A., Vue, R., Kedroske, J., Chappell, G., Hanauer, D. A., Barton, D., Hassett, A. L., & Choi, S. W. (2019). A Mobile Health App (Roadmap 2.0) for Patients Undergoing Hematopoietic Stem Cell Transplant: Qualitative Study on Family Caregivers’ Perspectives and Design Considerations. JMIR MHealth and UHealth, 7(10). https://doi.org/10.2196/15775

Chan, A. H. Y., Stewart, A. W., Harrison, J., Camargo, C. A., Black, P. N., & Mitchell, E. A. (2015). The Effect of An Electronic Monitoring Device with Audiovisual Reminder Function on Adherence to Inhaled Corticosteroids and School Attendance in Children With Asthma: A Randomised Controlled Trial. The Lancet Respiratory Medicine, 3(3), 210–219. https://doi.org/10.1016/S2213-2600(15)00008-9

Cortes, J. C., Fernández, C. S., de Oliveira, M. B., Lagos, C. M., Martínez, M. T. B., Hernández, C. L., & González, I. D. (2020). Chronic Diseases in the Paediatric Population: Comorbidities and Use of Primary Care Services. Anales de Pediatría (English Edition), 93(3), 183–193. https://doi.org/10.1016/j.anpede.2019.12.006

Fiks, A. G., Mayne, S. L., Karavite, D. J., Suh, A., O’Hara, R., Localio, A. R., Ross, M., & Grundmeier, R. W. (2015). Parent-Reported Outcomes of a Shared Decision-Making Portal in Asthma: A Practice-Based RCT. Pediatrics, 135(4), e965–e973. https://doi.org/10.1542/peds.2014-3167

Franck, L. S., Gay, C. L., Hoffmann, T. J., Kriz, R. M., Bisgaard, R., Cormier, D. M., Joe, P., Lothe, B., & Sun, Y. (2022). Neonatal Outcomes from a Quasi-Experimental Clinical Trial of Family Integrated Care versus Family-Centered Care for Preterm Infants in U.S. NICUs. BMC Pediatrics, 22(1), 1–15. https://doi.org/10.1186/s12887-022-03732-1

Franck, L. S., Kriz, R. M., Bisgaard, R., Cormier, D. M., Joe, P., Miller, P. S., Kim, J. H., Lin, C., & Sun, Y. (2019). Comparison of Family Centered Care with Family Integrated Care and Mobile Technology (mFICare) on Preterm Infant and Family Outcomes: A Multi-Site Quasi-Experimental Clinical Trial Protocol. BMC Pediatrics, 19(1), 1–10. https://doi.org/10.1186/s12887-019-1838-3

Garfield, C. F., Kerrigan, E., Christie, R., Jackson, K. L., & Lee, Y. S. (2022). A mobile Health Intervention to Support Parenting Self-Efficacy in The Neonatal Intensive Care Unit from Admission to Home. Journal of Pediatrics, 244, 92–100. https://doi.org/10.1016/j.jpeds.2022.01.004

Khanjari, S., Bell, E. F., Sadeghi, L. A., Sabzehei, M. kazem, & Haghani, S. (2021). The Impact of a Mobile Health Intervention on the Sense of Coherence and Quality of Life of Mothers with Premature Infants. Journal of Neonatal Nursing, 27(6), 444–450. https://doi.org/10.1016/j.jnn.2021.06.008

Lindkvist, R. M., Sjöström-Strand, A., Landgren, K., Johnsson, B. A., Stenström, P., & Hallström, I. K. (2021). In a Way We Took the Hospital Home”—A Descriptive Mixed-Methods Study of Parents’ Usage and Experiences of eHealth for Self-Management after Hospital Discharge Due to Pediatric Surgery or Preterm Birth. International Journal of Environmental Research and Public Health, 18(12). https://doi.org/10.3390/ijerph18126480

Losiouk, E., Lanzola, G., Del Favero, S., Boscari, F., Messori, M., Rabbone, I., Bonfanti, R., Sabbion, A., Iafusco, D., Schiaffini, R., Visentin, R., Galasso, S., Di Palma, F., Chernavvsky, D., Magni, L., Cobelli, C., Bruttomesso, D., & Quaglini, S. (2018). Parental Evaluation of a Telemonitoring Service for Children with Type 1 Diabetes. Journal of Telemedicine and Telecare, 24(3), 230–237. https://doi.org/10.1177/1357633X17695172

McLoone, J., Wakefield, C. E., Marshall, G. M., Pierce, K., Jaffe, A., Bye, A., Kennedy, S. E., Drew, D., & Lingam, R. (2022). It’s Made a Really Hard Situation Even More Difficult: The Impact of COVID-19 on Families of Children with Chronic Illness. PLoS One, 17(9 September), 1–13. https://doi.org/10.1371/journal.pone.0273622

National Center for Health Statistic. (2021). Table LCODAge. Leading Causes of Death and Number of Deaths, by Age: United States, 1980 and 2019. National Center for Health Statistics, National Vital Statistics System. https://www.cdc.gov/nchs/hus/contents2020-2021.htm#Table-LCODAge

Oravec, N., King, M. A. M., Spencer, T., Eikelboom, R., Kent, D., Reynolds, K., El-Gabalawy, R., Chudyk, A. M., Metge, C., Cornick, A., Sanjanwala, R. M., Lee, E., Hiebert, B., Nugent, K., Dave, M. G., Duhamel, T. A., & Arora, R. C. (2022). Barriers to Successful Discharge after Cardiac Surgery: A Focus Group Study and Cross-Sectional Survey. Seminars in Thoracic and Cardiovascular Surgery, 18552, 1–10. https://doi.org/10.1053/j.semtcvs.2022.07.003

Phagdol, T., Nayak, B. S., Lewis, L. E., Bhat Y, R., & Guddattu, V. (2022). Effectiveness of mHealth Application in Improving Knowledge of Mothers on Preterm Home Care. Journal of Neonatal Nursing, 29(3), 471-476. https://doi.org/10.1016/j.jnn.2022.08.004

World Health Organization. (2023). Strategic Review of Child Health | The BMJ. BMJ Publishing Group Ltd. https://www.bmj.com/child-health

Zhang, Q., & Huo, Z. (2022). Effect of Continuous Nutrition Management Intervention on Nutritional Status and Development of Premature Infants Based on Mobile Medical APP. Computational and Mathematical Methods in Medicine, 2022. https://doi.org/10.1155/2022/8586355
Published
2023-06-30
Abstract viewed = 77 times
pdf downloaded = 45 times