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Published on 18.09.12 in Vol 14, No 5 (2012): Sep-Oct

This paper is in the following e-collection/theme issue:

Works citing "Smartphone Versus Pen-and-Paper Data Collection of Infant Feeding Practices in Rural China"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2183):

(note that this is only a small subset of citations)

  1. Taber N, Mehmood A, Vedagiri P, Gupta S, Pinto R, Bachani AM. Paper Versus Digital Data Collection Methods for Road Safety Observations: Comparative Efficiency Analysis of Cost, Timeliness, Reliability, and Results. Journal of Medical Internet Research 2020;22(5):e17129
    CrossRef
  2. Prieto JT, Zuleta C, Rodríguez JT. Modeling and testing maternal and newborn care mHealth interventions: a pilot impact evaluation and follow-up qualitative study in Guatemala. Journal of the American Medical Informatics Association 2017;24(2):352
    CrossRef
  3. Amoakoh-Coleman M, Borgstein AB, Sondaal SF, Grobbee DE, Miltenburg AS, Verwijs M, Ansah EK, Browne JL, Klipstein-Grobusch K. Effectiveness of mHealth Interventions Targeting Health Care Workers to Improve Pregnancy Outcomes in Low- and Middle-Income Countries: A Systematic Review. Journal of Medical Internet Research 2016;18(8):e226
    CrossRef
  4. McLean E, Dube A, Saul J, Branson K, Luhanga M, Mwiba O, Kalobekamo F, Geis S, Crampin AC. Implementing electronic data capture at a well-established health and demographic surveillance site in rural northern Malawi. Global Health Action 2017;10(1):1367162
    CrossRef
  5. Zeleke AA, Worku AG, Demissie A, Otto-Sobotka F, Wilken M, Lipprandt M, Tilahun B, Röhrig R. Evaluation of Electronic and Paper-Pen Data Capturing Tools for Data Quality in a Public Health Survey in a Health and Demographic Surveillance Site, Ethiopia: Randomized Controlled Crossover Health Care Information Technology Evaluation. JMIR mHealth and uHealth 2019;7(2):e10995
    CrossRef
  6. Du X, Wang W, Helena van Velthoven M, Chen L, Scherpbier RW, Zhang Y, Wu Q, Li Y, Rao X, Car J. mHealth Series: Text messaging data collection of infant and young child feeding practice in rural China – a feasibility study. Journal of Global Health 2013;3(2)
    CrossRef
  7. Wu Q, Huang Y, van Velthoven MH, Wang W, Chang S, Zhang Y. The effectiveness of using a WeChat account to improve exclusive breastfeeding in Huzhu County Qinghai Province, China: protocol for a randomized control trial. BMC Public Health 2019;19(1)
    CrossRef
  8. Chib A, van Velthoven MH, Car J. mHealth Adoption in Low-Resource Environments: A Review of the Use of Mobile Healthcare in Developing Countries. Journal of Health Communication 2015;20(1):4
    CrossRef
  9. Chen L, Qiong W, van Velthoven MH, Yanfeng Z, Shuyi Z, Ye L, Wei W, Xiaozhen D, Ting Z. Coverage, quality of and barriers to postnatal care in rural Hebei, China: a mixed method study. BMC Pregnancy and Childbirth 2014;14(1)
    CrossRef
  10. van Heerden A, Norris S, Tollman S, Richter L, Rotheram-Borus MJ. Collecting Maternal Health Information From HIV-Positive Pregnant Women Using Mobile Phone-Assisted Face-to-Face Interviews in Southern Africa. Journal of Medical Internet Research 2013;15(6):e116
    CrossRef
  11. Steiner A, Hella J, Grüninger S, Mhalu G, Mhimbira F, Cercamondi CI, Doulla B, Maire N, Fenner L. Managing research and surveillance projects in real-time with a novel open-source e Management tool designed for under-resourced countries. Journal of the American Medical Informatics Association 2016;23(5):916
    CrossRef
  12. Marcano Belisario JS, Jamsek J, Huckvale K, O'Donoghue J, Morrison CP, Car J. Comparison of self-administered survey questionnaire responses collected using mobile apps versus other methods. Cochrane Database of Systematic Reviews 2015;2015(7)
    CrossRef
  13. Oyesanya TO, LeCroy T, Sweatman M, Hatch D, Nyankori L, Kang Y, MacCaughelty T, O’Pry L, Johnson S. A Medication Management Intervention for Patients and Families with SCI and ABI. Western Journal of Nursing Research 2020;42(12):1113
    CrossRef
  14. Flaxman AD, Stewart A, Joseph JC, Alam N, Alam SS, Chowdhury H, Mooney MD, Rampatige R, Remolador H, Sanvictores D, Serina PT, Streatfield PK, Tallo V, Murray CJL, Hernandez B, Lopez AD, Riley ID. Collecting verbal autopsies: improving and streamlining data collection processes using electronic tablets. Population Health Metrics 2018;16(1)
    CrossRef
  15. Kim JH, Kwon S, Shim SR, Sun HY, Ko YM, Chun D, Yang WJ, Song YS. Validation and Reliability of a Smartphone Application for the International Prostate Symptom Score Questionnaire: A Randomized Repeated Measures Crossover Study. Journal of Medical Internet Research 2014;16(2):e38
    CrossRef
  16. van Velthoven MH, Li Y, Wang W, Du X, Wu Q, Chen L, Majeed A, Rudan I, Zhang Y, Car J. mHealth Series: mHealth project in Zhao County, rural China – Description of objectives, field site and methods. Journal of Global Health 2013;3(2)
    CrossRef
  17. Schaeffer LE, Ahmed S, Rahman M, Whelan R, Rahman S, Roy AD, Nijhum TA, Bably NN, D’Couto H, Hudelson C, Jaben IA, Rubayet S, Baqui A, Lee AC. Development and evaluation of a mobile application for case management of small and sick newborns in Bangladesh. BMC Medical Informatics and Decision Making 2019;19(1)
    CrossRef
  18. Ramsey SR, Thompson KL, McKenzie M, Rosenbaum A. Psychological research in the internet age: The quality of web-based data. Computers in Human Behavior 2016;58:354
    CrossRef
  19. Eze E, Gleasure R, Heavin C. Reviewing mHealth in Developing Countries: A Stakeholder Perspective. Procedia Computer Science 2016;100:1024
    CrossRef
  20. King JD, Buolamwini J, Cromwell EA, Panfel A, Teferi T, Zerihun M, Melak B, Watson J, Tadesse Z, Vienneau D, Ngondi J, Utzinger J, Odermatt P, Emerson PM, Noor AM. A Novel Electronic Data Collection System for Large-Scale Surveys of Neglected Tropical Diseases. PLoS ONE 2013;8(9):e74570
    CrossRef
  21. Giduthuri JG, Maire N, Joseph S, Kudale A, Schaetti C, Sundaram N, Schindler C, Weiss MG, Chuang J. Developing and Validating a Tablet Version of an Illness Explanatory Model Interview for a Public Health Survey in Pune, India. PLoS ONE 2014;9(9):e107374
    CrossRef
  22. Zhou Y, Lobo NF, Wolkon A, Gimnig JE, Malishee A, Stevenson J, Sulistyawati , Collins FH, Madey G. PGMS: A Case Study of Collecting PDA-Based Geo-Tagged Malaria-Related Survey Data. The American Journal of Tropical Medicine and Hygiene 2014;91(3):496
    CrossRef
  23. Grant AS, Kennedy RD, Spires MH, Cohen JE. The Development and Piloting of a Mobile Data Collection Protocol to Assess Compliance With a National Tobacco Advertising, Promotion, and Product Display Ban at Retail Venues in the Russian Federation. JMIR Research Protocols 2016;5(3):e120
    CrossRef
  24. Zhang Y, Chen L, van Velthoven MHMMT, Wang W, Liu L, Du X, Wu Q, Li Y, Car J. mHealth Series: Measuring maternal newborn and child health coverage by text messaging – a county–level model for China. Journal of Global Health 2013;3(2)
    CrossRef
  25. de Mayo T, Conget P, Becerra-Bayona S, Sossa CL, Galvis V, Arango-Rodríguez ML, Fiorina P. The role of bone marrow mesenchymal stromal cell derivatives in skin wound healing in diabetic mice. PLOS ONE 2017;12(6):e0177533
    CrossRef
  26. Mercader HFG, Kabakyenga J, Katuruba DT, Hobbs AJ, Brenner JL. Female respondent acceptance of computer-assisted personal interviewing (CAPI) for maternal, newborn and child health coverage surveys in rural Uganda. International Journal of Medical Informatics 2017;98:41
    CrossRef
  27. Hu E, Stavropoulos V, Anderson A, Clarke M, Beard C, Papapetrou S, Gomez R. Assessing Online Flow Across Cultures: A Two-Fold Measurement Invariance Study. Frontiers in Psychology 2019;10
    CrossRef
  28. Eze E, Gleasure R, Heavin C. Mobile health solutions in developing countries: a stakeholder perspective. Health Systems 2020;9(3):179
    CrossRef
  29. Vedachalam S, MacDonald LH, Shiferaw S, Seme A, Schwab KJ, Zeeb H. Underreporting of high-risk water and sanitation practices undermines progress on global targets. PLOS ONE 2017;12(5):e0176272
    CrossRef
  30. ASARE R, AFARI-SEFA V, MUILERMAN S. ACCESS TO IMPROVED HYBRID SEEDS IN GHANA: IMPLICATIONS FOR ESTABLISHMENT AND REHABILITATION OF COCOA FARMS. Experimental Agriculture 2018;54(2):273
    CrossRef
  31. Zeleke AA, Naziyok T, Fritz F, Röhrig R. Data Quality and Cost-Effectiveness Analyses of Electronic and Paper-Based Interviewer-Administered Public Health Surveys: Protocol for a Systematic Review. JMIR Research Protocols 2019;8(1):e10678
    CrossRef
  32. Spark S, Lewis D, Vaisey A, Smyth E, Wood A, Temple-Smith M, Lorch R, Guy R, Hocking J. Using computer-assisted survey instruments instead of paper and pencil increased completeness of self-administered sexual behavior questionnaires. Journal of Clinical Epidemiology 2015;68(1):94
    CrossRef
  33. Quee FA, de Hoog MLA, Schuurman R, Bruijning-Verhagen P. Community burden and transmission of acute gastroenteritis caused by norovirus and rotavirus in the Netherlands (RotaFam): a prospective household-based cohort study. The Lancet Infectious Diseases 2020;20(5):598
    CrossRef
  34. Simone B, Atchison C, Ruiz B, Greenop P, Dave J, Ready D, Maguire H, Walsh B, Anderson S. Investigating an outbreak of Clostridium perfringens gastroenteritis in a school using smartphone technology, London, March 2013. Eurosurveillance 2014;19(19)
    CrossRef
  35. White A, Thomas DS, Ezeanochie N, Bull S. Health Worker mHealth Utilization. CIN: Computers, Informatics, Nursing 2016;34(5):206
    CrossRef
  36. van Velthoven MH, Wang W, Wu Q, Li Y, Scherpbier RW, Du X, Chen L, Zhang Y, Car J, Rudan I. Comparison of text messaging data collection vs face-to-face interviews for public health surveys: a cluster randomized crossover study of care-seeking for childhood pneumonia and diarrhoea in rural China. Journal of Global Health 2018;8(1)
    CrossRef
  37. Amoakoh HB, Klipstein-Grobusch K, Ansah EK, Grobbee DE, Yveoo L, Agyepong I. How and why front-line health workers (did not) use a multifaceted mHealth intervention to support maternal and neonatal healthcare decision-making in Ghana. BMJ Global Health 2019;4(2):e001153
    CrossRef
  38. Alqahtani AS, BinDhim NF, Tashani M, Willaby HW, Wiley KE, Heywood AE, Booy R, Rashid H. Pilot use of a novel smartphone application to track traveller health behaviour and collect infectious disease data during a mass gathering: Hajj pilgrimage 2014. Journal of Epidemiology and Global Health 2015;6(3):147
    CrossRef
  39. Zhang J, Sun L, Liu Y, Wang H, Sun N, Zhang P. Mobile Device–Based Electronic Data Capture System Used in a Clinical Randomized Controlled Trial: Advantages and Challenges. Journal of Medical Internet Research 2017;19(3):e66
    CrossRef
  40. Li Y, Wang W, van Velthoven MH, Chen L, Car J, Rudan I, Zhang Y, Wu Q, Du X, Scherpbier RW. Text Messaging Data Collection for Monitoring an Infant Feeding Intervention Program in Rural China: Feasibility Study. Journal of Medical Internet Research 2013;15(12):e269
    CrossRef
  41. Huang T, Lan L, Fang X, An P, Min J, Wang F. Promises and Challenges of Big Data Computing in Health Sciences. Big Data Research 2015;2(1):2
    CrossRef
  42. Huang Y, Wang L, Huo J, Wu Q, Wang W, Chang S, Zhang Y. Prevalence and causes of anaemia in children aged 6–23 months in rural Qinghai, China: findings from a cross-sectional study. BMJ Open 2019;9(9):e031021
    CrossRef
  43. Brodey BB, Gonzalez NL, Elkin KA, Sasiela WJ, Brodey IS. Assessing the Equivalence of Paper, Mobile Phone, and Tablet Survey Responses at a Community Mental Health Center Using Equivalent Halves of a ‘Gold-Standard’ Depression Item Bank. JMIR Mental Health 2017;4(3):e36
    CrossRef
  44. Rasche P, Mertens A, Miron-Shatz T, Berzon C, Schlick CM, Jahn M, Becker S, Fürnsinn C. Seamless recording of glucometer measurements among older experienced diabetic patients – A study of perception and usability. PLOS ONE 2018;13(5):e0197455
    CrossRef
  45. . What Can Big Data Offer the Pharmacovigilance of Orphan Drugs?. Clinical Therapeutics 2016;38(12):2533
    CrossRef
  46. Wu Q, Scherpbier RW, van Velthoven MH, Chen L, Wang W, Li Y, Zhang Y, Car J. Poor infant and young child feeding practices and sources of caregivers' feeding knowledge in rural Hebei Province, China: findings from a cross-sectional survey. BMJ Open 2014;4(7):e005108
    CrossRef
  47. Singh Y, Jackson D, Bhardwaj S, Titus N, Goga A. National surveillance using mobile systems for health monitoring: complexity, functionality and feasibility. BMC Infectious Diseases 2019;19(S1)
    CrossRef
  48. Sun Z, Zhu L, Liang M, Xu T, Lang J. The usability of a WeChat-based electronic questionnaire for collecting participant-reported data in female pelvic floor disorders: a comparison with the traditional paper-administered format. Menopause 2016;23(8):856
    CrossRef
  49. Spook JE, Paulussen T, Kok G, Van Empelen P. Monitoring Dietary Intake and Physical Activity Electronically: Feasibility, Usability, and Ecological Validity of a Mobile-Based Ecological Momentary Assessment Tool. Journal of Medical Internet Research 2013;15(9):e214
    CrossRef
  50. Jandee K, Lawpoolsri S, Taechaboonsermsak P, Khamsiriwatchara A, Wansatid P, Kaewkungwal J. Customized-Language Voice Survey on Mobile Devices for Text and Image Data Collection Among Ethnic Groups in Thailand: A Proof-of-Concept Study. JMIR mhealth and uhealth 2014;2(1):e7
    CrossRef
  51. Jandee K, Kaewkungwal J, Khamsiriwatchara A, Lawpoolsri S, Wongwit W, Wansatid P. Effectiveness of Using Mobile Phone Image Capture for Collecting Secondary Data: A Case Study on Immunization History Data Among Children in Remote Areas of Thailand. JMIR mHealth and uHealth 2015;3(3):e75
    CrossRef
  52. . A Comparison of Tablet-Based and Paper-Based Survey Data Collection in Conservation Projects. Social Sciences 2014;3(2):264
    CrossRef
  53. Du X, Wang W, Helena van Velthoven M, Chen L, Scherpbier RW, Zhang Y, Wu Q, Li Y, Rao X, Car J. mHealth Series: Text messaging data collection of infant and young child feeding practice in rural China – a feasibility study. Journal of Global Health 2013;3(2)
    CrossRef
  54. van Velthoven MH, Li Y, Wang W, Chen L, Du X, Wu Q, Zhang Y, Rudan I, Car J, Operario D. Prevalence of Mobile Phones and Factors Influencing Usage by Caregivers of Young Children in Daily Life and for Health Care in Rural China: A Mixed Methods Study. PLOS ONE 2015;10(3):e0116216
    CrossRef
  55. Alqahtani AS, Rashid H, Basyouni MH, Alhawassi TM, BinDhim NF. Public response to MERS-CoV in the Middle East: iPhone survey in six countries. Journal of Infection and Public Health 2017;10(5):534
    CrossRef
  56. McAlpine JM, Perkins AV, Vanderlelie JJ. Design, development, and evaluation of the Maternal Outcomes and Nutrition Tool (MONT). Maternal & Child Nutrition 2019;15(1)
    CrossRef
  57. Weigold A, Weigold IK, Dykema SA, Drakeford NM, Martin-Wagar CA. Computerized Device Equivalence: A Comparison of Surveys Completed Using A Smartphone, Tablet, Desktop Computer, and Paper-and-Pencil. International Journal of Human–Computer Interaction 2021;37(8):803
    CrossRef
  58. Mayoral K, Garin O, Caballero-Rabasco MA, Praena-Crespo M, Bercedo A, Hernandez G, Castillo J, Lizano Barrantes C, Pardo Y, Ferrer M. Smartphone App for monitoring Asthma in children and adolescents. Quality of Life Research 2021;30(11):3127
    CrossRef
  59. Zeleke AA, Naziyok T, Fritz F, Christianson L, Röhrig R. Data Quality and Cost-effectiveness Analyses of Electronic and Paper-Based Interviewer-Administered Public Health Surveys: Systematic Review. Journal of Medical Internet Research 2021;23(1):e21382
    CrossRef
  60. Li Y, Wang W, Wu Q, van Velthoven MH, Chen L, Du X, Zhang Y, Rudan I, Car J. Increasing the response rate of text messaging data collection: a delayed randomized controlled trial. Journal of the American Medical Informatics Association 2015;22(1):51
    CrossRef
  61. Fischer F, Kleen S. Possibilities, Problems, and Perspectives of Data Collection by Mobile Apps in Longitudinal Epidemiological Studies: Scoping Review. Journal of Medical Internet Research 2021;23(1):e17691
    CrossRef
  62. Wu Q, Huang Y, Helena van Velthoven M, Wang W, Chang S, Zhang Y, Hodges MH. Feasibility of using WeChat to improve infant and young child feeding in rural areas in China: A mixed quantitative and qualitative study. PLOS ONE 2021;16(2):e0246942
    CrossRef
  63. Wu Q, Huang Y, van Velthoven MH, Wang W, Zhang Y. Trends in complementary feeding practices and caregivers’ feeding knowledge among children aged 6-23 months: Repeated cross-sectional surveys in rural Qinghai China 2012-18. Journal of Global Health 2021;11
    CrossRef
  64. Cleary J, Nolan C, Guhn M, Thomson KC, Barker S, Deane C, Greenwood CJ, Harper JT, Fuller-Tyszkiewicz M, Letcher P, Macdonald JA, Hutchinson D, Spry EA, O’Connor M, Carr V, Green M, Peachey T, Toumbourou JW, Hosking J, Nelson J, Williams J, Zubrick SR, Sanson A, Lycett K, Olsson CA. A study protocol for community implementation of a new mental health monitoring system spanning early childhood to young adulthood. Longitudinal and Life Course Studies 2022;:1
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  66. Ferreira-Junior V, Coutinho-Lourenco F, Menezes AAS, Gusmoes JD, Cogo-Moreira H, Sanchez ZM. Psychometric validation of the audio-guided rBVQ instrument for bullying evaluation among students. Psico-USF 2022;27(2):381
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  67. Adalı T, Türkyılmaz AS, Lepkowski JM. Evaluating the Demographic and Health Surveys Mode Switch From PAPI to CAPI: An Experiment From Turkey. Social Science Computer Review 2022;40(6):1393
    CrossRef
  68. Akpan GU, Bello IM, Mohamed HF, Touray K, Kipterer J, Ngofa R, Oyaole DR, Atagbaza A, Ticha JM, Manengu C, Chikwanda C, Nshuti MB, Omoleke S, Oviaesu D, Diallo M, Ndoutabe M, Seaman V, Mkanda P. The digitization of Active Surveillance: An insight-based evaluation of Interactive visualization of active case search for Polio surveillance to support decision making in Africa (Preprint). JMIR Public Health and Surveillance 2022;
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  70. Viljoen A, Klinker K, Wiesche M, Uebernickel F, Krcmar H. Design Principles for mHealth Application Development in Rural Parts of Developing Countries: The Case of Noncommunicable Diseases in Kenya. IEEE Transactions on Engineering Management 2023;70(3):894
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  71. Rogers B, Somé JW, Bakun P, Adams KP, Bell W, Carroll DA, Wafa S, Coates J. Validation of the INDDEX24 mobile app v. a pen-and-paper 24-hour dietary recall using the weighed food record as a benchmark in Burkina Faso. British Journal of Nutrition 2022;128(9):1817
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  76. LEMOS AVKC, COSTA LPDB, MACIEL ES, MANSUR NSB, COHEN M. COMPARATIVE ANALYSIS OF THE EFFECTIVENESS OF CLINICAL DATA COLLECTION THROUGH ONLINE AND PHYSICAL ELECTRONIC QUESTIONNAIRE IN ORTHOPEDIC PATIENTS. Acta Ortopédica Brasileira 2023;31(6)
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2183):

  1. Marcano Belisario JS, Huckvale K, Saje A, Porcnik A, Morrison CP, Car J, Marcano Belisario JS. Cochrane Database of Systematic Reviews. 2014.
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  2. Berry RC, Johnston L. Enhancing the Role of ICT in Doctoral Research Processes. 2019. chapter 4:67
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  3. Ahmadi C, Wedashwara W, Puspita NNH, Chen J. Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and Computer Science). 2022. Chapter 29:341
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  4. . Open Electronic Data Capture Tools for Medical and Biomedical Research and Medical Allied Professionals. 2024. :1
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