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

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

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

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

Journals

  1. Taber N, Mehmood A, Vedagiri P, Gupta S, Pinto R, Bachani A. 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 View
  2. Prieto J, Zuleta C, Rodríguez J. 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 View
  3. Amoakoh-Coleman M, Borgstein A, Sondaal S, Grobbee D, Miltenburg A, Verwijs M, Ansah E, Browne J, 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 View
  4. McLean E, Dube A, Saul J, Branson K, Luhanga M, Mwiba O, Kalobekamo F, Geis S, Crampin A. Implementing electronic data capture at a well-established health and demographic surveillance site in rural northern Malawi. Global Health Action 2017;10(1) View
  5. Zeleke A, Worku A, 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 View
  6. Du X, Wang W, Helena van Velthoven M, Chen L, Scherpbier R, 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) View
  7. Wu Q, Huang Y, van Velthoven M, 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) View
  8. Chib A, van Velthoven M, 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 View
  9. Chen L, Qiong W, van Velthoven M, 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) View
  10. van Heerden A, Norris S, Tollman S, Richter L, Rotheram-Borus M. 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 View
  11. Steiner A, Hella J, Grüninger S, Mhalu G, Mhimbira F, Cercamondi C, 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 View
  12. Marcano Belisario J, Jamsek J, Huckvale K, O'Donoghue J, Morrison C, Car J. Comparison of self-administered survey questionnaire responses collected using mobile apps versus other methods. Cochrane Database of Systematic Reviews 2015;2015(7) View
  13. Oyesanya T, 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 View
  14. Flaxman A, Stewart A, Joseph J, Alam N, Alam S, Chowdhury H, Mooney M, Rampatige R, Remolador H, Sanvictores D, Serina P, Streatfield P, Tallo V, Murray C, Hernandez B, Lopez A, Riley I. Collecting verbal autopsies: improving and streamlining data collection processes using electronic tablets. Population Health Metrics 2018;16(1) View
  15. Kim J, Kwon S, Shim S, Sun H, Ko Y, Chun D, Yang W, Song Y. 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 View
  16. van Velthoven M, 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) View
  17. Schaeffer L, Ahmed S, Rahman M, Whelan R, Rahman S, Roy A, Nijhum T, Bably N, D’Couto H, Hudelson C, Jaben I, Rubayet S, Baqui A, Lee A. 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) View
  18. Ramsey S, Thompson K, McKenzie M, Rosenbaum A. Psychological research in the internet age: The quality of web-based data. Computers in Human Behavior 2016;58:354 View
  19. Eze E, Gleasure R, Heavin C. Reviewing mHealth in Developing Countries: A Stakeholder Perspective. Procedia Computer Science 2016;100:1024 View
  20. King J, Buolamwini J, Cromwell E, Panfel A, Teferi T, Zerihun M, Melak B, Watson J, Tadesse Z, Vienneau D, Ngondi J, Utzinger J, Odermatt P, Emerson P, Noor A. A Novel Electronic Data Collection System for Large-Scale Surveys of Neglected Tropical Diseases. PLoS ONE 2013;8(9):e74570 View
  21. Giduthuri J, Maire N, Joseph S, Kudale A, Schaetti C, Sundaram N, Schindler C, Weiss M, 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 View
  22. Zhou Y, Lobo N, Wolkon A, Gimnig J, Malishee A, Stevenson J, Sulistyawati , Collins F, 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 View
  23. Grant A, Kennedy R, Spires M, Cohen J. 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 View
  24. Zhang Y, Chen L, van Velthoven M, 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) View
  25. de Mayo T, Conget P, Becerra-Bayona S, Sossa C, Galvis V, Arango-Rodríguez M, Fiorina P. The role of bone marrow mesenchymal stromal cell derivatives in skin wound healing in diabetic mice. PLOS ONE 2017;12(6):e0177533 View
  26. Mercader H, Kabakyenga J, Katuruba D, Hobbs A, Brenner J. 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 View
  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 View
  28. Eze E, Gleasure R, Heavin C. Mobile health solutions in developing countries: a stakeholder perspective. Health Systems 2020;9(3):179 View
  29. Vedachalam S, MacDonald L, Shiferaw S, Seme A, Schwab K, Zeeb H. Underreporting of high-risk water and sanitation practices undermines progress on global targets. PLOS ONE 2017;12(5):e0176272 View
  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 View
  31. Zeleke A, 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 View
  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 View
  33. Quee F, de Hoog M, 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 View
  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) View
  35. White A, Thomas D, Ezeanochie N, Bull S. Health Worker mHealth Utilization. CIN: Computers, Informatics, Nursing 2016;34(5):206 View
  36. van Velthoven M, Wang W, Wu Q, Li Y, Scherpbier R, 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) View
  37. Amoakoh H, Klipstein-Grobusch K, Ansah E, Grobbee D, 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 View
  38. Alqahtani A, BinDhim N, Tashani M, Willaby H, Wiley K, Heywood A, 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 View
  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 View
  40. Li Y, Wang W, van Velthoven M, Chen L, Car J, Rudan I, Zhang Y, Wu Q, Du X, Scherpbier R. 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 View
  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 View
  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 View
  43. Brodey B, Gonzalez N, Elkin K, Sasiela W, Brodey I. 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 View
  44. Rasche P, Mertens A, Miron-Shatz T, Berzon C, Schlick C, 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 View
  45. Price J. What Can Big Data Offer the Pharmacovigilance of Orphan Drugs?. Clinical Therapeutics 2016;38(12):2533 View
  46. Wu Q, Scherpbier R, van Velthoven M, 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 View
  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) View
  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 View
  49. Spook J, 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 View
  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 View
  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 View
  52. Leisher C. A Comparison of Tablet-Based and Paper-Based Survey Data Collection in Conservation Projects. Social Sciences 2014;3(2):264 View
  53. Du X, Wang W, Helena van Velthoven M, Chen L, Scherpbier R, 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) View
  54. van Velthoven M, 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 View
  55. Alqahtani A, Rashid H, Basyouni M, Alhawassi T, BinDhim N. Public response to MERS-CoV in the Middle East: iPhone survey in six countries. Journal of Infection and Public Health 2017;10(5):534 View
  56. McAlpine J, Perkins A, Vanderlelie J. Design, development, and evaluation of the Maternal Outcomes and Nutrition Tool (MONT). Maternal & Child Nutrition 2019;15(1) View
  57. Weigold A, Weigold I, Dykema S, Drakeford N, Martin-Wagar C. 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 View
  58. Mayoral K, Garin O, Caballero-Rabasco M, 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 View
  59. Zeleke A, 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 View
  60. Li Y, Wang W, Wu Q, van Velthoven M, 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 View
  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 View
  62. Wu Q, Huang Y, Helena van Velthoven M, Wang W, Chang S, Zhang Y, Hodges M. 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 View
  63. Wu Q, Huang Y, van Velthoven M, 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 View
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  67. Adalı T, Türkyılmaz A, Lepkowski J. Evaluating the Demographic and Health Surveys Mode Switch From PAPI to CAPI: An Experiment From Turkey. Social Science Computer Review 2022;40(6):1393 View
  68. Akpan G, Bello I, Mohamed H, Touray K, Kipterer J, Ngofa R, Oyaole D, Atagbaza A, Ticha J, Manengu C, Chikwanda C, Nshuti M, 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 View
  69. Chen S, Liu H, Lou V. Monitoring daily well-being and meaning-making tendencies among adult child working dementia caregivers: validating an experience sampling study protocol. BMC Geriatrics 2022;22(1) View
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  71. Rogers B, Somé J, Bakun P, Adams K, Bell W, Carroll D, 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 View
  72. Liu A, Zhang J, Wu Q, Zhang Y, van Velthoven M. Comparison of the agreement between WeChat-based self-administered and interviewer-administered data on infant and young child feeding in China: A test-retest study. Journal of Global Health 2022;12 View
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Books/Policy Documents

  1. Marcano Belisario J, Huckvale K, Saje A, Porcnik A, Morrison C, Car J, Marcano Belisario J. Cochrane Database of Systematic Reviews. View
  2. Berry R, Johnston L. Enhancing the Role of ICT in Doctoral Research Processes. View
  3. Ahmadi C, Wedashwara W, Puspita N, Chen J. Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and Computer Science). View
  4. Mehto A. Open Electronic Data Capture Tools for Medical and Biomedical Research and Medical Allied Professionals. View