Outcome’s Classification in Mobile Applications Tailored to Parents of Premature Infants: A Systematic Review
-
Farzaneh Kermani
,
Mehdi Kahouei
,
Ali Valinejadi
,
Malihe Sadeghi
,
Marjan Momeni
,
Shahrbanoo Pahlevanynejad
Abstract
Background: Integration of healthcare services for preterm neonates at home and hospital by mobile technology is an economical and convenient intervention, which is being increasingly applied worldwide. We aimed to classify the outcomes of mobile applications tailored to parents of premature infants.
Methods: This systematic review was conducted by searching the six main databases until May 2021. Mobile applications tailored to parents of premature infants and the reported outcomes of this technology were identified and classified. Quality of screened articles checked by MMAT tool.
Results: Overall, 10703 articles were retrieved, and after eliminating the duplicated articles, 9 articles were reviewed ultimately. Identified outcomes were categorized into three groups parental, application, and neonatal outcomes. In the parental outcomes, maternal stress/stress coping, parenting self-efficacy, satisfaction, anxiety, partnership advocacy/improved parent-infant relationship, feeling of being safe, reassurance and confidence, increase awareness, as well as discharge preparedness, were identified. In the application outcomes, application usage, ease of use/user-friendly, and usability of the designed application were placed. Finally, the neonatal outcomes include health and clinical items.
Conclusion: Mobile applications can be useful in prematurity for educating pregnant mothers, managing stress and anxiety, supporting families, and preparing for discharge. Moreover, due to the coronavirus condition, providing remote services for parents is an appropriate solution to reduce the in-person visits to neonatal care centers. Development of tailored apps can promote the neonates' health and reduce their parents’ stress.
1. Srivatsa B, Malcolm K, Clark RH, et al (2021). Effect of a Novel Oxygen Saturation Targeting Strategy on Mortality, Retinopathy of Prematurity, and Bronchopulmonary Dysplasia in Neonates Born Extremely Preterm. J Pediatr, 234: 33–7.
2. Pahlevanynejad S, Danaei N, Kahouei M, Mirmohammadkhani M, Saffarieh E, Safdari R (2022). Development and Validation of the Iranian Neonatal Prematurity Minimum Data Set (IMSPIMDS): A Systematic Review Using Focus Group Discussion and the Delphi Technique. Journal of Pediatrics Review, 10 (1): 17-28.
3. Nayak BS, Lewis LE, Margaret B, et al (2019). Randomized controlled trial on effectiveness of mH ealth (mobile/smartphone) based Preterm Home Care Program on developmental outcomes of preterms: Study protocol. J Adv Nurs,75 (2):452–60.
4. Pahlevanynejad S, Danaei N, Safdari R (2022). Design, implementation, and evaluation of an innovative intelligence information management system for premature infants. Digit Health,8: 20552076221127776 .
5. Lee YS, Garfield C, Massey N,et al (2011). NICU-2-HOME: supporting the transition to home from the neonatal intensive care unit using a mobile application. In: CHI’11 Extended Abstracts on Human Factors in Computing Systems. p. 2257–62.
6. Franck LS, Kriz RM, Bisgaard R, et al (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 Pediatr, 19 (1):1–10.
7. Agarwal S, Labrique A (2014). Newborn health on the line: the potential mHealth applications. JAMA, 312 (3):229–30.
8. Tang KP, Hirano SH, Cheng KG, Hayes GR (2012). Balancing caregiver and clinician needs in a mobile health informatics tool for preterm infants. In: 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops. IEEE, p: 1–8.
9. Hirano SH, Tang KP, Cheng KG, Hayes GR (2012). The estrellita system: A health informatics tool to support caregivers of preterm infants. In: 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops. IEEE, p: 195–6.
10. Gund A, Sjöqvist BA, Wigert H, Hentz E, Lindecrantz K, Bry K (2013). A randomized controlled study about the use of eHealth in the home health care of premature infants. BMC Med Inform Decis Mak, 13 (1):22.
11. Jallo N, Thacker LR, Menzies V, et al (2017). A stress coping app for hospitalized pregnant women at risk for preterm birth. MCN Am J Matern Child Nurs, 42 (5):257–62.
12. Hägi-Pedersen MB, Norlyk A, Dessau R, Stanchev H, Kronborg H (2017). Multicentre randomised study of the effect and experience of an early inhome programme (PreHomeCare) for preterm infants using video consultation and smartphone applications compared with inhospital consultations: protocol of the PreHomeCare study. BMJ Open, 7 (3):e013024.
13. Zhang X, Kurtz M, Lee S-Y, Liu H (2021). Early Intervention for Preterm Infants and Their Mothers: A Systematic Review. J Perinat Neonatal Nurs, 35 (4):E69-E82.
14. Byrt A, Dempsey D (2020). Encouraging ‘good’motherhood: self-tracking and the provision of support on apps for parents of premature infants. Information, Commun Soc, 1–16.
15. Safdari R, Rahmanian M, Pahlevanynejad S (2019). Identification of Information Elements for Preeclampsia Android-Based Self-Management Application. J Payavard Salamat, 12 (6):476–87.
16. Sheikhtaheri A, Zarkesh MR, Moradi R, Kermani F (2021). Prediction of neonatal deaths in NICUs: development and validation of machine learning models. BMC Med Inform Decis Mak, 21 (1):131.
17. Akbarian M, Dashti F, Baraz S (2017). The effect of phone counseling for mothers of premature infants discharged from the hospital on infants’ readmission. Int J Pediatr, 5 (8):5441–50.
18. Lund S, Rasch V, Hemed M, et al (2014). Mobile phone intervention reduces perinatal mortality in zanzibar: secondary outcomes of a cluster randomized controlled trial. JMIR Mhealth Uhealth, 2 (1):e15.
19. Richardson B, Dol J, Rutledge K, et al (2019). Evaluation of mobile apps targeted to parents of infants in the neonatal intensive care unit: systematic app review. JMIR Mhealth Uhealth, 7 (4):e11620.
20. Patil A, Bhutkar G, Pendse M, et al (2018). Prototype Design of Android App for Mothers of Preterm Infants. In: IFIP Working Conference on Human Work Interaction Design. Springer; p: 3–16.
21. Lestantri ID, Sabiq A, Suherlan E (2018). Developing and pilot testing M-health care application for pregnant and toddlers based on user experience. In: Journal of Physics: Conference Series. IOP Publishing, p: 12067.
22. Tinius RA, Polston M, Bradshaw H, Ashley P, Greene A, Parker AN (2021). An assessment of mobile applications designed to address physical activity during pregnancy and postpartum. Int J Exerc Sci, 14 (7):382-399.
23. Taki S, Campbell KJ, Russell CG, Elliott R, Laws R, Denney-Wilson E (2015). Infant feeding websites and apps: a systematic assessment of quality and content. Interact J Med Res, 4 (3):e18.
24. Morse SS, Murugiah MK, Soh YC, Wong TW, Ming LC (2018). Mobile health applications for pediatric care: review and comparison. Ther Innov Regul Sci, 52 (3):383–91.
25. Krishnamurti T, Davis AL, Wong-Parodi G, Fischhoff B, Sadovsky Y, Simhan HN (2017). Development and testing of the Myhealthypregnancy app: a behavioral decision research-based tool for assessing and communicating pregnancy risk. JMIR Mhealth Uhealth, 5 (4):e42.
26. Ellsworth MA, Dziadzko M, O’Horo JC, Farrell AM, Zhang J, Herasevich V (2017). An appraisal of published usability evaluations of electronic health records via systematic review. J Am Med Inform Assoc, 24 (1):218–26.
27. Sadeghi M, Kahouei M, Pahlevanynejad S, et al (2021). Mobile applications for prematurity: A systematic review protocol. BMJ Paediatr Open, 5 (1):e001183.
28. Pace R, Pluye P, Bartlett G, et al (2012). Testing the reliability and efficiency of the pilot Mixed Methods Appraisal Tool (MMAT) for systematic mixed studies review. Int J Nurs Stud, 49 (1):47–53.
29. Hong QN, Fàbregues S, Bartlett G, et al (2018). The Mixed Methods Appraisal Tool (MMAT) version 2018 for information professionals and researchers. Educ Inf, 34 (4):285–91.
30. Garfield CF, Lee YS, Kim HN, et al (2016). Supporting parents of premature infants transitioning from the NICU to home: a pilot randomized control trial of a smartphone application. Internet Interv, 4(Pt 2):131–7.
31. Kwong AKL, Eeles AL, Olsen JE, Cheong JLY, Doyle LW, Spittle AJ (2019). The Baby Moves smartphone app for General Movements Assessment: Engagement amongst extremely preterm and term‐born infants in a state‐wide geographical study. J Paediatr Child Health, 55 (5):548–54.
32. Kim UO, Barnekow K, Ahamed SI, et al (2019). Smartphone-based prenatal education for parents with preterm birth risk factors. Patient Educ Couns, 102 (4):701–8.
33. Garne Holm K, Brødsgaard A, Zachariassen G, Smith AC, Clemensen J (2019). Parent perspectives of neonatal tele-homecare: A qualitative study. J Telemed Telecare, 25 (4):221–9.
34. Holm KG, Clemensen J, Brødsgaard A, et al (2019). Growth and breastfeeding of preterm infants receiving neonatal tele-homecare compared to hospital-based care. J Neonatal Perinatal Med, 12 (3):277–84.
35. Nourani A, Ayatollahi H, Mirnia K (2019). A smart phone application for the mothers of premature infants. IRBM, 40 (5):263–9.
36. Banerjee J, Aloysius A, Mitchell K, et al (2020). Improving infant outcomes through implementation of a family integrated care bundle including a parent supporting mobile application. Arch Dis Childhood-Fetal Neonatal Ed, 105 (2):172–7.
37. Doron MW, Trenti-Paroli E, Linden DW (2013). Supporting parents in the NICU: A new app from the US,‘MyPreemie’: A tool to provide parents of premature babies with support, empowerment, education and participation in their infant’s care. J Neonatal Nurs, 19 (6):303–7.
38. Jallo N, Cozens R, Smith MW, Simpson RI (2013). Effects of a guided imagery intervention on stress in hospitalized pregnant women: a pilot study. Holist Nurs Pract, 27 (3):129–39.
39. Lai CC, Shih TP, Ko WC, Tang HJ, Hsueh PR (2020). Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and corona virus disease-2019 (COVID-19): the epidemic and the challenges. Int J Antimicrob Agents,55(3): 105924.
40. Dodakian L, McKenzie AL, Le V, et al (2017). A home-based telerehabilitation program for patients with stroke. Neurorehabil Neural Repair, 3 (10–11):923–33.
41. Dobrovolny JL, Fuentes SCG (2008). Quantitative versus qualitative evaluation: A tool to decide which to use. Perform Improv, 47 (4):7–14.
42. Dimitropoulos L, Patel V, Scheffler SA, Posnack S (2011). Public attitudes toward health information exchange: perceived benefits and concerns. Am J Manag Care, 17 (12 Spec No.):SP111-6.
43. Krishnaswamy PH, Venkatraman P (2018). A comparative study of E-partogram with conventional partogram. In: BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY. WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, p: 186.
44. Sondaal SFV, Browne JL, Amoakoh-Coleman M, et al (2016). Assessing the effect of mHealth interventions in improving maternal and neonatal care in low-and middle-income countries: a systematic review. PLoS One, 11 (5):e0154664.
45. Mbuthia F, Reid M, Fichardt A (2019). mHealth communication to strengthen postnatal care in rural areas: a systematic review. BMC Pregnancy Childbirth, 19 (1):406.
46. Lefler LL, Rhoads SJ, Harris M, et al (2018). Evaluating the use of mobile health technology in older adults with heart failure: mixed-methods study. JMIR Aging, 1 (2):e12178.
47. Chuang L, Lin L, Cheng P, Chen C, Wu S, Chang C (2012). Effects of a relaxation training programme on immediate and prolonged stress responses in women with preterm labour. J Adv Nurs, 68 (1):170–80.
48. McEwen BS (2006). Protective and damaging effects of stress mediators: central role of the brain. Dialogues Clin Neurosci, 8 (4):367-381.
49. Hutcheson JL, Cheeseman SE (2015). An Innovative Strategy to Improve Family–Infant Bonding. Neonatal Netw, 34 (3):189–91.
50. Huq NL, Azmi AJ, Quaiyum MA, Hossain S (2014). Toll free mobile communication: overcoming barriers in maternal and neonatal emergencies in Rural Bangladesh. Reprod Health, 11 (1):52.
51. Huang S, Li M (2017). Piloting a mHealth intervention to improve newborn care awareness among rural Cambodian mothers: a feasibility study. BMC Pregnancy Childbirth, 17 (1):356.
52. Chuo J, Sherman P, Drain C, Kulikowski C (2007). Personalized case driven parental education informatics in the NICU. Stud Health Technol Inform, 129 (Pt 2):1437–41.
53. Gray J, Jones PC, Phillips M, et al (1997). Telematics in the neonatal ICU and beyond: improving care for high-risk newborns and their families. In: Proceedings of the AMIA Annual Fall Symposium. American Medical Informatics Association, p. 413.
54. IM B (2016). Efficacy of a Mobile-based Application on Quality of Care and Perinatal Mortality. Indian Pediatr, 53 (9): 823-827.
55. Jiang J, Cameron A-F (2020). IT-Enabled Self-Monitoring for Chronic Disease Self-Management: An Interdisciplinary Review. MIS Q, 44 (1).
56. Aita M, Johnston C, Goulet C, Oberlander TF, Snider L (2013). Intervention minimizing preterm infants’ exposure to NICU light and noise. Clin Nurs Res, 22 (3):337–58.
57. Charani E, Castro-Sánchez E, Moore LSP, Holmes A (2014). Do smartphone applications in healthcare require a governance and legal framework? It depends on the application! BMC Med, 12 (1):29.
58. Flaherty JL (2014). Digital diagnosis: privacy and the regulation of mobile phone health applications. Am J Law Med, 40(4):416-41.
59. Hamilton EC, Saiyed F, Miller III CC, et al (2018). The digital divide in adoption and use of mobile health technology among caregivers of pediatric surgery patients. J Pediatr Surg, 53 (8):1478–93.
2. Pahlevanynejad S, Danaei N, Kahouei M, Mirmohammadkhani M, Saffarieh E, Safdari R (2022). Development and Validation of the Iranian Neonatal Prematurity Minimum Data Set (IMSPIMDS): A Systematic Review Using Focus Group Discussion and the Delphi Technique. Journal of Pediatrics Review, 10 (1): 17-28.
3. Nayak BS, Lewis LE, Margaret B, et al (2019). Randomized controlled trial on effectiveness of mH ealth (mobile/smartphone) based Preterm Home Care Program on developmental outcomes of preterms: Study protocol. J Adv Nurs,75 (2):452–60.
4. Pahlevanynejad S, Danaei N, Safdari R (2022). Design, implementation, and evaluation of an innovative intelligence information management system for premature infants. Digit Health,8: 20552076221127776 .
5. Lee YS, Garfield C, Massey N,et al (2011). NICU-2-HOME: supporting the transition to home from the neonatal intensive care unit using a mobile application. In: CHI’11 Extended Abstracts on Human Factors in Computing Systems. p. 2257–62.
6. Franck LS, Kriz RM, Bisgaard R, et al (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 Pediatr, 19 (1):1–10.
7. Agarwal S, Labrique A (2014). Newborn health on the line: the potential mHealth applications. JAMA, 312 (3):229–30.
8. Tang KP, Hirano SH, Cheng KG, Hayes GR (2012). Balancing caregiver and clinician needs in a mobile health informatics tool for preterm infants. In: 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops. IEEE, p: 1–8.
9. Hirano SH, Tang KP, Cheng KG, Hayes GR (2012). The estrellita system: A health informatics tool to support caregivers of preterm infants. In: 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops. IEEE, p: 195–6.
10. Gund A, Sjöqvist BA, Wigert H, Hentz E, Lindecrantz K, Bry K (2013). A randomized controlled study about the use of eHealth in the home health care of premature infants. BMC Med Inform Decis Mak, 13 (1):22.
11. Jallo N, Thacker LR, Menzies V, et al (2017). A stress coping app for hospitalized pregnant women at risk for preterm birth. MCN Am J Matern Child Nurs, 42 (5):257–62.
12. Hägi-Pedersen MB, Norlyk A, Dessau R, Stanchev H, Kronborg H (2017). Multicentre randomised study of the effect and experience of an early inhome programme (PreHomeCare) for preterm infants using video consultation and smartphone applications compared with inhospital consultations: protocol of the PreHomeCare study. BMJ Open, 7 (3):e013024.
13. Zhang X, Kurtz M, Lee S-Y, Liu H (2021). Early Intervention for Preterm Infants and Their Mothers: A Systematic Review. J Perinat Neonatal Nurs, 35 (4):E69-E82.
14. Byrt A, Dempsey D (2020). Encouraging ‘good’motherhood: self-tracking and the provision of support on apps for parents of premature infants. Information, Commun Soc, 1–16.
15. Safdari R, Rahmanian M, Pahlevanynejad S (2019). Identification of Information Elements for Preeclampsia Android-Based Self-Management Application. J Payavard Salamat, 12 (6):476–87.
16. Sheikhtaheri A, Zarkesh MR, Moradi R, Kermani F (2021). Prediction of neonatal deaths in NICUs: development and validation of machine learning models. BMC Med Inform Decis Mak, 21 (1):131.
17. Akbarian M, Dashti F, Baraz S (2017). The effect of phone counseling for mothers of premature infants discharged from the hospital on infants’ readmission. Int J Pediatr, 5 (8):5441–50.
18. Lund S, Rasch V, Hemed M, et al (2014). Mobile phone intervention reduces perinatal mortality in zanzibar: secondary outcomes of a cluster randomized controlled trial. JMIR Mhealth Uhealth, 2 (1):e15.
19. Richardson B, Dol J, Rutledge K, et al (2019). Evaluation of mobile apps targeted to parents of infants in the neonatal intensive care unit: systematic app review. JMIR Mhealth Uhealth, 7 (4):e11620.
20. Patil A, Bhutkar G, Pendse M, et al (2018). Prototype Design of Android App for Mothers of Preterm Infants. In: IFIP Working Conference on Human Work Interaction Design. Springer; p: 3–16.
21. Lestantri ID, Sabiq A, Suherlan E (2018). Developing and pilot testing M-health care application for pregnant and toddlers based on user experience. In: Journal of Physics: Conference Series. IOP Publishing, p: 12067.
22. Tinius RA, Polston M, Bradshaw H, Ashley P, Greene A, Parker AN (2021). An assessment of mobile applications designed to address physical activity during pregnancy and postpartum. Int J Exerc Sci, 14 (7):382-399.
23. Taki S, Campbell KJ, Russell CG, Elliott R, Laws R, Denney-Wilson E (2015). Infant feeding websites and apps: a systematic assessment of quality and content. Interact J Med Res, 4 (3):e18.
24. Morse SS, Murugiah MK, Soh YC, Wong TW, Ming LC (2018). Mobile health applications for pediatric care: review and comparison. Ther Innov Regul Sci, 52 (3):383–91.
25. Krishnamurti T, Davis AL, Wong-Parodi G, Fischhoff B, Sadovsky Y, Simhan HN (2017). Development and testing of the Myhealthypregnancy app: a behavioral decision research-based tool for assessing and communicating pregnancy risk. JMIR Mhealth Uhealth, 5 (4):e42.
26. Ellsworth MA, Dziadzko M, O’Horo JC, Farrell AM, Zhang J, Herasevich V (2017). An appraisal of published usability evaluations of electronic health records via systematic review. J Am Med Inform Assoc, 24 (1):218–26.
27. Sadeghi M, Kahouei M, Pahlevanynejad S, et al (2021). Mobile applications for prematurity: A systematic review protocol. BMJ Paediatr Open, 5 (1):e001183.
28. Pace R, Pluye P, Bartlett G, et al (2012). Testing the reliability and efficiency of the pilot Mixed Methods Appraisal Tool (MMAT) for systematic mixed studies review. Int J Nurs Stud, 49 (1):47–53.
29. Hong QN, Fàbregues S, Bartlett G, et al (2018). The Mixed Methods Appraisal Tool (MMAT) version 2018 for information professionals and researchers. Educ Inf, 34 (4):285–91.
30. Garfield CF, Lee YS, Kim HN, et al (2016). Supporting parents of premature infants transitioning from the NICU to home: a pilot randomized control trial of a smartphone application. Internet Interv, 4(Pt 2):131–7.
31. Kwong AKL, Eeles AL, Olsen JE, Cheong JLY, Doyle LW, Spittle AJ (2019). The Baby Moves smartphone app for General Movements Assessment: Engagement amongst extremely preterm and term‐born infants in a state‐wide geographical study. J Paediatr Child Health, 55 (5):548–54.
32. Kim UO, Barnekow K, Ahamed SI, et al (2019). Smartphone-based prenatal education for parents with preterm birth risk factors. Patient Educ Couns, 102 (4):701–8.
33. Garne Holm K, Brødsgaard A, Zachariassen G, Smith AC, Clemensen J (2019). Parent perspectives of neonatal tele-homecare: A qualitative study. J Telemed Telecare, 25 (4):221–9.
34. Holm KG, Clemensen J, Brødsgaard A, et al (2019). Growth and breastfeeding of preterm infants receiving neonatal tele-homecare compared to hospital-based care. J Neonatal Perinatal Med, 12 (3):277–84.
35. Nourani A, Ayatollahi H, Mirnia K (2019). A smart phone application for the mothers of premature infants. IRBM, 40 (5):263–9.
36. Banerjee J, Aloysius A, Mitchell K, et al (2020). Improving infant outcomes through implementation of a family integrated care bundle including a parent supporting mobile application. Arch Dis Childhood-Fetal Neonatal Ed, 105 (2):172–7.
37. Doron MW, Trenti-Paroli E, Linden DW (2013). Supporting parents in the NICU: A new app from the US,‘MyPreemie’: A tool to provide parents of premature babies with support, empowerment, education and participation in their infant’s care. J Neonatal Nurs, 19 (6):303–7.
38. Jallo N, Cozens R, Smith MW, Simpson RI (2013). Effects of a guided imagery intervention on stress in hospitalized pregnant women: a pilot study. Holist Nurs Pract, 27 (3):129–39.
39. Lai CC, Shih TP, Ko WC, Tang HJ, Hsueh PR (2020). Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and corona virus disease-2019 (COVID-19): the epidemic and the challenges. Int J Antimicrob Agents,55(3): 105924.
40. Dodakian L, McKenzie AL, Le V, et al (2017). A home-based telerehabilitation program for patients with stroke. Neurorehabil Neural Repair, 3 (10–11):923–33.
41. Dobrovolny JL, Fuentes SCG (2008). Quantitative versus qualitative evaluation: A tool to decide which to use. Perform Improv, 47 (4):7–14.
42. Dimitropoulos L, Patel V, Scheffler SA, Posnack S (2011). Public attitudes toward health information exchange: perceived benefits and concerns. Am J Manag Care, 17 (12 Spec No.):SP111-6.
43. Krishnaswamy PH, Venkatraman P (2018). A comparative study of E-partogram with conventional partogram. In: BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY. WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, p: 186.
44. Sondaal SFV, Browne JL, Amoakoh-Coleman M, et al (2016). Assessing the effect of mHealth interventions in improving maternal and neonatal care in low-and middle-income countries: a systematic review. PLoS One, 11 (5):e0154664.
45. Mbuthia F, Reid M, Fichardt A (2019). mHealth communication to strengthen postnatal care in rural areas: a systematic review. BMC Pregnancy Childbirth, 19 (1):406.
46. Lefler LL, Rhoads SJ, Harris M, et al (2018). Evaluating the use of mobile health technology in older adults with heart failure: mixed-methods study. JMIR Aging, 1 (2):e12178.
47. Chuang L, Lin L, Cheng P, Chen C, Wu S, Chang C (2012). Effects of a relaxation training programme on immediate and prolonged stress responses in women with preterm labour. J Adv Nurs, 68 (1):170–80.
48. McEwen BS (2006). Protective and damaging effects of stress mediators: central role of the brain. Dialogues Clin Neurosci, 8 (4):367-381.
49. Hutcheson JL, Cheeseman SE (2015). An Innovative Strategy to Improve Family–Infant Bonding. Neonatal Netw, 34 (3):189–91.
50. Huq NL, Azmi AJ, Quaiyum MA, Hossain S (2014). Toll free mobile communication: overcoming barriers in maternal and neonatal emergencies in Rural Bangladesh. Reprod Health, 11 (1):52.
51. Huang S, Li M (2017). Piloting a mHealth intervention to improve newborn care awareness among rural Cambodian mothers: a feasibility study. BMC Pregnancy Childbirth, 17 (1):356.
52. Chuo J, Sherman P, Drain C, Kulikowski C (2007). Personalized case driven parental education informatics in the NICU. Stud Health Technol Inform, 129 (Pt 2):1437–41.
53. Gray J, Jones PC, Phillips M, et al (1997). Telematics in the neonatal ICU and beyond: improving care for high-risk newborns and their families. In: Proceedings of the AMIA Annual Fall Symposium. American Medical Informatics Association, p. 413.
54. IM B (2016). Efficacy of a Mobile-based Application on Quality of Care and Perinatal Mortality. Indian Pediatr, 53 (9): 823-827.
55. Jiang J, Cameron A-F (2020). IT-Enabled Self-Monitoring for Chronic Disease Self-Management: An Interdisciplinary Review. MIS Q, 44 (1).
56. Aita M, Johnston C, Goulet C, Oberlander TF, Snider L (2013). Intervention minimizing preterm infants’ exposure to NICU light and noise. Clin Nurs Res, 22 (3):337–58.
57. Charani E, Castro-Sánchez E, Moore LSP, Holmes A (2014). Do smartphone applications in healthcare require a governance and legal framework? It depends on the application! BMC Med, 12 (1):29.
58. Flaherty JL (2014). Digital diagnosis: privacy and the regulation of mobile phone health applications. Am J Law Med, 40(4):416-41.
59. Hamilton EC, Saiyed F, Miller III CC, et al (2018). The digital divide in adoption and use of mobile health technology among caregivers of pediatric surgery patients. J Pediatr Surg, 53 (8):1478–93.
| Files | ||
| Issue | Vol 52 No 8 (2023) | |
| Section | Review Article(s) | |
| DOI | https://doi.org/10.18502/ijph.v52i8.13402 | |
| Keywords | ||
| Mobile applications M-health Prematurity Preterm neonates Systematic review | ||
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How to Cite
1.
Kermani F, Kahouei M, Valinejadi A, Sadeghi M, Momeni M, Pahlevanynejad S. Outcome’s Classification in Mobile Applications Tailored to Parents of Premature Infants: A Systematic Review. Iran J Public Health. 2023;52(8):1642-1655.
