Innovation of M-Health-Based Prosa-Hi Application for Early Detection of Child Growth and Development

Tri Sunarsih; Endah Puji Astuti; Nur'Aini Purnamaningsih; Suwarno; Muhammad Erwan Syah; Elvika Fit Ari Shanti; Muhammad Habibi; Kharisma; Dwi Kartika Rukmi

doi:10.33533/jpm.v17i2.6974

Authors

Tri Sunarsih Universitas Jenderal Achmad Yani Yogyakarta, Yogyakarta, Indonesia.
Endah Puji Astuti Universitas Jenderal Achmad Yani Yogyakarta, Yogyakarta, Indonesia.
Nur'Aini Purnamaningsih Universitas Jenderal Achmad Yani Yogyakarta, Yogyakarta, Indonesia.
Suwarno Universitas Jenderal Achmad Yani Yogyakarta, Yogyakarta, Indonesia.
Muhammad Erwan Syah Universitas Jenderal Achmad Yani Yogyakarta, Yogyakarta, Indonesia.
Elvika Fit Ari Shanti Universitas Jenderal Achmad Yani Yogyakarta, Yogyakarta, Indonesia.
Muhammad Habibi Universitas Jenderal Achmad Yani Yogyakarta, Yogyakarta, Indonesia.
Kharisma Universitas Jenderal Achmad Yani Yogyakarta, Yogyakarta, Indonesia.
Dwi Kartika Rukmi Lincoln University College, Malaysia

DOI:

https://doi.org/10.33533/jpm.v17i2.6974

Keywords:

Child development, Child growth, Early detection, M-Health

Abstract

The development of technology has advanced digital and intelligent transformation, including in the child health. This study was conducted to implement the PROSA-HI Application to detect child growth early. The research method uses the sequential mix methods. The PROSA-HI Application will be implemented in Nogotirto Village from August 2022 to November 2022. The data collection techniques in this study include Observation, Interviews, and questionnaires with mothers with toddlers using the User Acceptance Test (UAT) questionnaire of 291 mothers under five. Analysis by univariate analysis. Testing the PROSA-HI Application with a user acceptance test showed an average of 89.0%, so it can be concluded that the usability rate of the PROSA-HI application system based on user perception is considered feasible to implement. The PROSA-HI Application can effectively monitor children's health, growth, and development, positively impacting parents and health workers.

References

[1]. Indonesian Ministry of Helath. Hasil Utama Riskesdas 2018. Jakarta: Indonesian Ministry of Helath; 2018.

[2]. Popkin BM, Ng SW. The nutrition transition to a stage of high obesity and noncommunicable disease prevalence dominated by ultra-processed foods is not inevitable. Obesity Reviews. 2022;23:1–18. doi: 10.1111/obr.13366. Cited: in: : PMID: 34632692.

[3]. Diallo AH, Sayeem Bin Shahid ASM, Khan AF, Saleem AF, Singa BO, Gnoumou BS, Tigoi C, Otieno CA, Bourdon C, Oduol CO, et al. Childhood mortality during and after acute illness in Africa and south Asia: a prospective cohort study. The Lancet Global Health. 2022;10:e673–e684. doi: 10.1016/S2214-109X(22)00118-8. Cited: in: : PMID: 35427524.

[4]. Thurstans S, Sessions N, Dolan C, Sadler K, Cichon B, Isanaka S, Roberfroid D, Stobaugh H, Webb P, Khara T. The relationship between wasting and stunting in young children: A systematic review. Maternal and Child Nutrition. 2022;18. doi: 10.1111/mcn.13246. Cited: in: : PMID: 34486229.

[5]. Choudhary TS, Srivastava A, Chowdhury R, Taneja S, Bahl R, Martines J, Bhan MK, Bhandari N. Severe wasting among Indian infants <6 months: Findings from the National Family Health Survey 4. Maternal and Child Nutrition. 2019;15. doi: 10.1111/mcn.12866. Cited: in: : PMID: 31240836.

[6]. Haenecour P, Zega TJ, Howe JY, Wallace P, Floss C, Yada T. Investigation of the Nature of Capping Layer Materials for FIB-SEM Preparation: Implications for the Study of Carbonaceous Material in Extraterrestrial Samples. Microsc Microanal. 2017;23:1820–1821. doi: 10.1017/S143192761700976X.

[7]. Crookston BT, Penny ME, Alder SC, Dickerson TT, Merrill RM, Stanford JB, Porucznik CA, Dearden KA. Children Who Recover from Early Stunting and Children Who Are Not Stunted Demonstrate Similar Levels of Cognition. The Journal of Nutrition. 2010;140:1996–2001. doi: 10.3945/jn.109.118927.

[8]. World Health Organization. Nutrition Landscape Information System (NLiS) country profile indicators: interpretation guide [Internet]. 2nd ed. Geneva: World Health Organization; 2019 [cited 2023 Mar 14]. Available from: https://apps.who.int/iris/handle/10665/332223.

[9]. Timaeus IM. Stunting and obesity in childhood: a reassessment using longitudinal data from South Africa. International Journal of Epidemiology. 2012;41:764–772. doi: 10.1093/ije/dys026.

[10]. UNICEF, editor. Improving child nutrition: the achievable imperative for global progress. New York: United Nations Children’s Fund; 2013.

[11]. Wells JCK, Devakumar D, Manandhar DS, Saville N, Chaube SS, Costello A, Osrin D. Associations of stunting at 2 years with body composition and blood pressure at 8 years of age: longitudinal cohort analysis from lowland Nepal. Eur J Clin Nutr. 2019;73:302–310. doi: 10.1038/s41430-018-0291-y.

[12]. Kana MA, Ahmed J, Ashiru AY, Jibrin S, Sunday AD, Shehu K, Safiyan H, Kantiyok C, Yusuf HE, Ibrahim JM, et al. Child Electronic Growth Monitoring System: An innovative and sustainable approach for establishing the Kaduna Infant Development (KID) Study in Nigeria. Paediatric and Perinatal Epidemiology. 2020;34:532–543. doi: 10.1111/ppe.12641.

[13]. Shirisha P, Muraleedharan VR, Vaidyanathan G. Wealth related inequality in women and children malnutrition in the state of Chhattisgarh and Tamil Nadu. BMC Nutrition. 2022;8:1–21. doi: 10.1186/s40795-022-00580-1.

[14]. Yang X, Wei Y, Li X, Wang H. Optimization of Early Childhood Education Information System Based on Computer Aided Methods. Computer-Aided Design and Applications. 2022;19:122–132. doi: 10.14733/cadaps.2022.S7.122-132.

[15]. Leroux A, Xiao L, Crainiceanu C, Checkley W. Dynamic prediction in functional concurrent regression with an application to child growth. Statistics in Medicine. 2018;37:1376–1388. doi: 10.1002/sim.7582. Cited: in: : PMID: 29230836.

[16]. Jones F, Whitehouse A, Dopson A, Palaghias N, Aldiss S, Gibson F, Shawe J. Reducing unintentional injuries in under fives: Development and testing of a mobile phone app. Child: Care, Health and Development. 2020;46:203–212. doi: 10.1111/cch.12729. Cited: in: : PMID: 31782175.

[17]. Li Q. A Study on Mobile Resources for Language Education of Preschool Children Based on Wireless Network Technology in Artificial Intelligence Context. Computational and Mathematical Methods in Medicine. 2022.

[18]. Fatimah JM, Arianto, Bahfiarti T. Media Communication and Youth Reproductive Health, North Toraja District. Gaceta Sanitaria. 2021;35:S112–S115. doi: 10.1016/j.gaceta.2021.07.007. Cited: in: : PMID: 34929790.

[19]. Sáiz-Manzanares MC, Marticorena-Sánchez R, Arnaiz-González Á. Evaluation of functional abilities in 0–6 year olds: An analysis with the eearlycare computer application. International Journal of Environmental Research and Public Health. 2020.

[20]. APJII. Survei Internet APJII 2019-2020 [Internet]. 2020. Available from: https://survei.apjii.or.id/survei.

[21]. Doty JL, Brady SS, Popelka JM, Rietveld L, Garcia-Huidobro D, Doty MJ, Linares R, Svetaz MV, Allen ML. Designing a mobile app to enhance parenting skills of latinx parents: a community-based participatory approach. JMIR Formative Research. 2020;4. doi: 10.2196/12618.

[22]. Bahia K, Delaporte A. The State of Mobile Internet Connectivity 2020. GSMA Reports. 2020;61.

[23]. DeMauro SB, Duncan AF, Hurt H. Telemedicine use in neonatal follow-up programs – What can we do and what we can’t – Lessons learned from COVID-19. Seminars in Perinatology. 2021;45:151430. doi: 10.1016/j.semperi.2021.151430. Cited: in: : PMID: 33892961.

[24]. Alassaf N, Bah S, Almulhim F, Aldossary N, Alqahtani M. Evaluation of official healthcare informatics applications in saudi arabia and their role in addressing covid-19 pandemic. Healthcare Informatics Research. 2021;27:255–263. doi: 10.4258/HIR.2021.27.3.255.

[25]. Areemit R, Lumbiganon P, Suphakunpinyo C, Jetsrisuparb A, Sutra S, Sripanidkulchai K. A mobile app, KhunLook, to support Thai parents and caregivers with child health supervision: Development, validation, and acceptability study. JMIR mHealth and uHealth. 2020;8. doi: 10.2196/15116. Cited: in: : PMID: 33124989.

[26]. van Heerden A, Leppanen J, Rotheram-Borus MJ, Worthman CM, Kohrt BA, Skeen S, Giese S, Hughes R, Bohmer L, Tomlinson M. Emerging Opportunities Provided by Technology to Advance Research in Child Health Globally. Global Pediatric Health. 2020;7. doi: 10.1177/2333794X20917570.

[27]. Twomey DM, Wrigley C, Ahearne C, Murphy R, De Haan M, Marlow N, Murray DM. Feasibility of using touch screen technology for early cognitive assessment in children. Archives of Disease in Childhood. 2018;103:853–858. doi: 10.1136/archdischild-2017-314010. Cited: in: : PMID: 29535111.

[28]. Narumi S, Ohnuma T, Takehara K, Morisaki N, Urayama KY, Hattori T. Evaluating the seasonality of growth in infants using a mobile phone application. npj Digital Medicine. 2020;3:1–5. doi: 10.1038/s41746-020-00345-9.

[29]. Lee J, Kim J, Hong YJ, Piao M, Byun A, Song H, Lee HS. Health information technology trends in social media: Using twitter data. Healthcare Informatics Research. 2019;25:99–105. doi: 10.4258/hir.2019.25.2.99.

[30]. Feroz A, Perveen S, Aftab W. Role of mHealth applications for improving antenatal and postnatal care in low and middle income countries: A systematic review. BMC Health Services Research. 2017;17. doi: 10.1186/s12913-017-2664-7. Cited: in: : PMID: 29115992.

[31]. McNabb M, Chukwu E, Ojo O, Shekhar N, Gill CJ, Salami H, Jega F. Assessment of the Quality of Antenatal Care Services Provided by Health Workers Using a Mobile Phone Decision Support Application in Northern Nigeria: A Pre/Post-Intervention Study. van Ooijen PMA, editor. PLOS ONE. 2015;10:e0123940. doi: 10.1371/journal.pone.0123940.

[32]. Friska D, Kekalih A, Runtu F, Rahmawati A, Ibrahim NAA, Anugrapaksi E, Utami NPBS, Wijaya AD, Ayuningtyas R. Health cadres empowerment program through smartphone application-based educational videos to promote child growth and development. Frontiers in Public Health. 2022;10. doi: 10.3389/fpubh.2022.887288. Cited: in: : PMID: 36311610.

[33]. Lulianthy E, Adam S, Putri DK. Teknologi M-Health Untuk Kesehatan Anak : A Scoping Review. JHeS (Journal of Health Studies). 2021;5:94–103. doi: 10.31101/jhes.2009.

[34]. Daum MM, Bleiker M, Wermelinger S, Kurthen I, Maffongelli L, Antognini K, Beisert M, Gampe A. The kleineWeltentdecker App - A smartphone-based developmental diary. Behavior Research Methods. 2022;54:2522–2544. doi: 10.3758/s13428-021-01755-7. Cited: in: : PMID: 35146699.

[35]. Hsiao TC, Chuang YH, Chen TL, Chang CY, Chen CC. Students’ Performances in Computer Programming of Higher Education for Sustainable Development: The Effects of a Peer-Evaluation System. Frontiers in Psychology. 2022;13. doi: 10.3389/fpsyg.2022.911417.

[36]. Chen H, Chai Y, Dong L, Niu W, Zhang P. Effectiveness and Appropriateness of mHealth Interventions for Maternal and Child Health: Systematic Review. JMIR mHealth and uHealth. 2018;6:e7. doi: 10.2196/mhealth.8998.

[37]. Franck LS, Kriz RM, Bisgaard R, Cormier DM, Joe P, Miller PS, Kim JH, Lin C, Sun Y. 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. 2019.

[38]. Shah SN, Shukla A, Prasad R, Mandalia P. Geofencing Application using IRNSS/NavIC. 2022 2nd International Conference on Intelligent Technologies (CONIT) [Internet]. IEEE; 2022. p. 1–6. Available from: https://ieeexplore.ieee.org/document/9848361/.

[39]. Guo X, Wu J, Fang J. Baby-Follower: A Child-Care Robot System Based on OpenMV and IOT. Journal of Physics: Conference Series. IOP Publishing Ltd; 2020.

[40]. Rahayu SR, Zainafree I, Merzistya ANA, Cahyati WH, Farida E, Wandastuti AD, Isbandi, Wahidah N, Saefurrohim MZ, Islam MAN, et al. Development of the SIKRIBO Mobile Health Application for Active Tuberculosis Case Detection in Semarang, Indonesia. Healthcare Informatics Research. 2022;28:297–306. doi: 10.4258/hir.2022.28.4.297.

[41]. Radesky J, Hiniker A, McLaren C, Akgun E, Schaller A, Weeks HM, Campbell S, Gearhardt AN. Prevalence and Characteristics of Manipulative Design in Mobile Applications Used by Children. JAMA Network Open. 2022;5:E2217641. doi: 10.1001/jamanetworkopen.2022.17641. Cited: in: : PMID: 35713902.

[42]. Dzissah DA, Lee JS, Suzuki H, Nakamura M, Obi T. Privacy enhanced healthcare information sharing system for home-based care environments. Healthcare Informatics Research. 2019;25:106–114. doi: 10.4258/hir.2019.25.2.106.

[43]. Alrusaini O, Beyari H. The Sustainable Effect of Artificial Intelligence and Parental Control on Children’s Behavior While Using Smart Devices’ Apps: The Case of Saudi Arabia. Sustainability (Switzerland). 2022.

[44]. Nitzler J, Biehler J, Fehn N, Koutsourelakis P-S, Wall WA. A generalized probabilistic learning approach for multi-fidelity uncertainty quantification in complex physical simulations. Computer Methods in Applied Mechanics and Engineering. 2022;400:115600. doi: 10.1016/j.cma.2022.115600.

[45]. Boonzaaijer M, van Wesel F, Nuysink J, Volman MJM, Jongmans MJ. A home-video method to assess infant gross motor development: parent perspectives on feasibility. BMC Pediatrics. 2019;19:392. doi: 10.1186/s12887-019-1779-x.