Comparison of self-administered survey questionnaire responses collected using mobile apps versus other methods

Cochrane Database of Systematic Reviews

Volumn 2017, Issue 12, 2015, Pages

  Marcano Belisario, José S ^a   Jamsek, Jan ^b   Huckvale, Kit ^a   O'Donoghue, John ^a   Morrison, Cecily P ^a   Car, Josip ^c  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF LJUBLJANA   (Slovenia)

^c NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ANALYSIS; HUMAN; INTERMETHOD COMPARISON; MEASUREMENT ACCURACY; MOBILE APPLICATION; PRIORITY JOURNAL; QUESTIONNAIRE; REVIEW; SHORT MESSAGE SERVICE; SYSTEMATIC REVIEW; TEXT MESSAGING; COMPARATIVE STUDY; MINICOMPUTER; MOBILE PHONE; STANDARDS; STATISTICS AND NUMERICAL DATA; TIME;

CELL PHONES; DATA ACCURACY; HUMANS; MINICOMPUTERS; MOBILE APPLICATIONS; SURVEYS AND QUESTIONNAIRES; TEXT MESSAGING; TIME FACTORS;

EID: 84957413170     PISSN: None     EISSN: 1469493X     Source Type: Journal    
DOI: 10.1002/14651858.MR000042.pub2     Document Type: Review

References (264)

1. Ainsworth J, Palmier-Claus JE, Machin M, Barrowclough C, Dunn G, Rogers A, et al. A comparison of two delivery modalities of a mobile phone-based assessment for serious mental illness: native smartphone application vs text-messaging only implementations. Journal of Medical Internet Research 2013;15(4):e60.
2. Brunger L, Smith A, Re R, Wickham M, Philippides A, Watten P, et al. Validation of an iPad visual analogue rating system for assessing appetite and satiety. Appetite 2015;84:259-63.
3. Bush NE, Skopp N, Smolenski D, Crumpton R, Fairall J. Behavioral screening measures delivered with a smartphone app: psychometric properties and user preference. Journal of Nervous and Mental Disease 2013;201(11):991-5.
4. Garcia-Palacios A, Herrero R, Belmonte MA, Castilla D, Guixeres J, Molinari G, et al. Ecological momentary assessment for chronic pain in fibromyalgia using a smartphone: a randomized crossover study. European Journal of Pain 2014;18(6):862-72.
5. Khraishi M, Aslanov R. The use of an Apple iPad-based© health assessment questionnaire (HAQ) application in psoriatic and rheumatoid arthritis. Dermatology and Therapy 2012;2(10):S58.
6. Khraishi M, Aslanov R, Ogunyemi B, Gu M, Lin L. Comparing touch screen Apple iPad-based© Health Assessment Questionnaire (HAQ) to the paper version in patients with inflammatory arthritis. Journal of Rheumatology 2012;39(8):1752.
7. Kim JH, Kwon SS, Shim SR, Sun HY, Ko YM, Chun DI, et al. 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. [DOI: 10.2196/jmir.3042]
8. Lamber P, Mitterer M, Napolitano L, Ricci F, Zini F. Surveying patients with smart devices. 25th International Symposium on Computer-Based Medical Systems. 2012 Jun 20-22:1-4.
9. Newell SM, Logan HL, Guo Y, Marks JG, Shepperd JA. Evaluating tablet computers as a survey tool in rural communities. Journal of Rural Health 2015;31(1):108-17. [DOI: 10.1111/jrh.12095]
10. Salaffi F, Gasparini S, Ciapetti A, Gutierrez M, Grassi W. Usability of an innovative and interactive electronic system for collection of patient-reported data in axial spondyloarthritis: comparison with the traditional paper-administered format. Rheumatology 2013;52(11):2062-70.
11. Schemmann D, Rudolph J, Haas H, Müller-Stromberg J. Validation and patient acceptance of a touch tablet version of the iHOT-12 questionnaire. Arthroscopy 2013;29(12 (Suppl)):e188.
12. Sigaud M, Horvais V, Chamouard V, Guillet B, Lambert T, Borel-Derlon A, et al. Comparison of paper diary and B-CoNect (telemetric smartphone application) at home treatment monitoring of severe hemophilia A patients. Haemophilia 2014;20(Suppl. 3):180.
13. Stomberg MW, Platon B, Widén A, Wallner I, Karlsson O. Health information: what can mobile phone assessments add?. Perspectives in Health Information Management 2012;9:1-10.
14. Sun T, West N, Ansermino M, Montgomery C, Lauder G, von Baeyer C. PANDA: Evaluation of a smartphone-based perioperative pain assessment tool. Journal of Investigative Medicine 2013;61(1):115.
15. Sun T, West N, Ansermino M, Montgomery CJ, Myers D, von Baeyer CL, et al. PANDA: Evaluation of a smartphone-based peri-operative pain assessment tool. Canadian Journal of Anesthesia 2013;60:S25.
16. Sun T, West N, Ansermino M, Montgomery C, Lauder G, von Baeyer C. PANDA: Evaluation of a smartphone-based perioperative pain assessment tool. Journal of Investigative Medicine 2013;61(1):115.
17. Sun T, West N, Ansermino M, Montgomery CJ, Myers D, von Baeyer CL, et al. PANDA: Evaluation of a smartphone-based peri-operative pain assessment tool. Canadian Journal of Anesthesia 2013;60:S25.
18. Abernethy AP, Herndon JE 2nd, Wheeler JL, Patwardhan M, Shaw H, Lyerly HK, et al. Improving health care efficiency and quality using tablet personal computers to collect research-quality, patient-reported data. Health Services Research 2008;43(6):1975-91. [DOI: 10.1111/j.1475-6773.2008.00887.x]
19. Ahmad F, Shakya Y, Li J, Khoaja K, Norman CD, Lou W, et al. A pilot with computer-assisted psychosocial risk-assessment for refugees. BMC Medical Informatics and Decision Making 2012;12:71.
20. Aktas A, Hullihen B, Shrotriya S, Thomas S, Walsh D, Estfan B. Connected health: a pilot study of cancer symptom and quality of life assessment with a tablet computer. Palliative Medicine 2014;28:755-6.
21. Alhajji M, Jeffrey A, Datta A. Tablet PC to evaluate respiratory patient preference and satisfaction using the 18-element Consultation Specific Questionnaire. Thorax 2009;64(Suppl IV):A90. [DOI: 10.1136/thx.2009.127134i]
22. Allena M, Cuzzoni MG, Tassorelli C, Nappi G, Antonaci F. An electronic diary on a palm device for headache monitoring: a preliminary experience. Journal of Headache and Pain 2012;13(7):537-41. [DOI: 10.1007/s10194-012-0473-2]
23. Alsip C, Rich A. Using iPads to improve patient care. Radiology Management 2014;36(2):20-1.
24. Bakshi N, Stinson J, Lukombo I, Ross D, Mittal N, Vinod Joshi S, et al. Development, establishment of the psychometric properties and usability testing of a novel multi-dimensional web based diary for children with sickle cell disease. Blood 2013;122:21.
25. Bakshi N, Stinson J, Rice K, Ross D, Krishnamurti L. Preliminary validation of a multi-dimensional electronic pain diary for children with sickle cell disease. Pediatric Blood and Cancer 2013;60:S31.
26. Barentsz MW, Wessels H, van Diest PJ, Pijnappel RM, van der Pol CC, Witkamp AJ, et al. IPad versus paper questionnaires for patients with suspicion of breast cancer: Patients' preferences and quality of collected data. European Journal of Cancer 2014;50:S66.
27. Bartlett SJ, Orbai AM, Duncan T, Bingham III CO. How well do generic patient reported outcomes measurement information system instruments capture health status in rheumatoid arthritis?. Arthritis & Rheumatism 2013;65(10 (Supplement)):S972.
28. Bartlett SJ, Orbai AM, Duncan T, De Leon E, Jones M, Bingham III CO. Preliminary data supporting the feasibility and construct validity of promis fatigue instrument in an academic rheumatoid arthritis clinic. Annals of the Rheumatic Diseases 2013;72(Suppl 3):585.
29. Beasley JM, Riley WT, Davis A, Singh J. Evaluating of a PDA-based dietary assessment and intervention program: a randomized controlled trial. Journal of the American College of Nutrition 2008;27(2):280-6. [DOI: 10.1080/07315724.2008.10719701]
30. Bellamy N, Wilson C, Hendrikz J, Patel B, Dennison S. Electronic data capture (EDC) using cellular technology: implications for clinical trials and practice, and preliminary experience with the m-Womac Index in hip and knee OA patients. Inflammopharmacology 2009;17(2):93-9. [DOI: 10.1007/s10787-008-8045-4]
31. Bellamy N, Wilson C, Hendrikz J, Patel B, Dennison S. Validation study of electronic data capture (EDC) using the WOMAC® NRS 3.1 Index (m-WOMAC®): preliminary interim analysis. Internal Medicine Journal 2009;39(Suppl 2):A67.
32. Bellamy N, Wilson C, Hendrikz J, Whitehouse SL, Patel B, Dennison S, et al. Osteoarthritis Index delivered by mobile phone (m-WOMAC) is valid, reliable, and responsive. Journal of Clinical Epidemiology 2011;64(2):182-90. [DOI: 10.1016/j.jclinepi.2010.03.013]
33. Bellamy N, Hendrikz J, Wilson C. Comparison of transformed visual analogue and native numerical rating scaled patient responses to the WOMAC® Index. Internal Medicine Journal 2011;41(Suppl 1):23.
34. Ben-Zeev D, McHugo GJ, Xie H, Dobbins K, Young MA. Comparing retrospective reports to real-time/real-place mobile assessments in individuals with schizophrenia and a nonclinical comparison group. Schizophrenia Bulletin 2012;38(3):396-404. [DOI: 10.1093/schbul/sbr171]
35. Bernabe-Ortiz A, Curioso WH, Gonzales MA, Evangelista W, Castagnetto JM, Carcamo CP, et al. Handheld computers for self-administered sensitive data collection: a comparative study in Peru. BMC Medical Informatics and Decision Making 2008;8:11. [DOI: 10.1186/1472-6947-8-11]
36. Bernhardt JM, Usdan S, Mays D, Martin R, Cremeens J, Arriola KJ. Alcohol assessment among college students using wireless mobile technology. Journal of Studies on Alcohol and Drugs 2009;70(5):771-5.
37. Berry DL, Hong F, Halpenny B, Partridge A, Fox E, Fann JR, et al. The electronic self report assessment and intervention for cancer: promoting patient verbal reporting of symptom and quality of life issues in a randomized controlled trial. BMC Cancer 2014;14:513.
38. Bethoux F, Rudick R, Miller D, Rao S, Lee JC, Stough D, et al. The Multiple Sclerosis Performance Test: an innovative approach to measuring MS-related manual dexterity impairment. Neurology 2014;82(10 (Supplement)):P3.132.
39. Bexelius C, Löf M, Sandin S, Lagerros YT, Forsum E, Litton JE. Measures of physical activity using cell phones: validation using criterion methods. Journal of Medical Internet Research 2010;12(1):e2. [DOI: 10.2196/jmir]
40. Blaivas JG, Weinberger JM, Weiss JP, Kashan M. Validation of an electronic bladder diary application. Journal of Urology 2013;189(4S):e804-5.
41. TM: a new bladder diary application. Neurourology and Urodynamics 2013;32(2):119.
42. Blum D, Koeberle D, Omlin A, Walker J, Von Moos R, Mingrone W, et al. Feasibility and acceptance of electronic monitoring of symptoms and syndromes using a handheld computer in patients with advanced cancer in daily oncology practice. Support Care Cancer 2014;22(9):2425-34. [DOI: 10.1007/s00520-014-2201-8]
43. Bockenek JA, Brooks BR, Sanjak MS, Lucas NM, Smith NP, Nichols MS, et al. New disease management tools - Cerner electronic medical record deployment of Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised (ALSFRS-R) validated with mobile smartphone (iPhone/Android) application (ALSFRSR-Lite). Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 2014;15(Suppl 1):121-2. [DOI: 10.3109/21678421.2014.960178/122]
44. Bokhour BG, Solomon J, Laws MB, Gifford AL, Goetz MB. The impact of an HIV adherence informatics intervention on patient-provider communication about ART adherence. Poster presentation at the Society of General Internal Medicine Annual Meeting. Denver, CO, 2013 Apr 25-27.
45. Bond S, Devitt B, Lane H, McLachlan SA, Philip J. Can older patients use an electronic tablet to complete a cancer specific geriatric assessment? Results of a pilot study. Asia-Pacific Journal of Clinical Oncology 2013;9(Suppl 3):150.
46. Boushey CJ, Kerr DA, Wright J, Lutes KD, Ebert DS, Delp EJ. Use of technology in children's dietary assessment. European Journal of Clinical Nutrition 2009;63(Suppl 1):S50-7. [DOI: 10.1038/ejcn.2008.65]
47. Bradbury A, Bate G, Thomas E, King T, Wright D. Varicose Veins (VV) Symptoms Questionnaire: a simple, validated measure of VV symptoms that can be administered daily using a Personal Digital Assistant (PDA). Journal of Vascular Surgery 2012;55(6):64-5.
48. Braun MD, Elliot N, Pantel A. Rangeland health data collection and analysis improved with mobile GIS. 2008. ArcNews Online (accessed 07 August 2014). [http://www.esri.com/news/arcnews/spring08articles/rangeland-health.html]
49. Burke LE, Styn MA, Glanz K, Ewing LJ, Elci OK, Conroy MB, et al. SMART trial: A randomized clinical trial of self-monitoring in behavioral weight management-design and baseline findings. Contemporary Clinical Trials 2009;30(6):540-51. [DOI: 10.1016/j.cct.2009.07.003]
50. Buskirk TD, Andrus CH. Making mobile browser surveys smarter: results from a randomized experiment comparing online surveys completed via computer or smartphone. Field Methods 2014;26(4):322-42.
51. Carter MC, Burley VJ, Nykjaer C, Cade JE. 'My Meal Mate' (MMM): validation of the diet measures captured on a smartphone application to facilitate weight loss. British Journal of Nutrition 2013;109(3):539-46. [DOI: 10.1017/S0007114512001353]
52. Carter MC, Burley VJ, Nykjaer C, Cade JE. Adherence to a smartphone application for weight loss compared to website and paper diary: pilot randomized controlled trial. Journal of Medical Internet Research 2013;15(4):e32. [DOI: 10.2196/jmir.2283]
53. Christie A, Dagfinrud H, Dale Ø, Schulz T, Hagen KB. Why use pen and paper in data collection when you can use a mobile phone? - comparison of the two methods. Annals of the Rheumatic Diseases 2013;72(Suppl 3):1053.
54. Clionsky M, Clionsky E. Psychometric equivalence of a paper-based and computerized (iPad) version of the Memory Orientation ScreeningTest (MOST®). The Clinical Neuropsychologist 2014;28(5):747-55. [DOI: 10.1080/13854046.2014.913686]
55. Cook IA, Balasubramani GK, Eng H, Friedman E, Young EA, Martin J, et al. Electronic source materials in clinical research: acceptability and validity of symptom self-rating in major depressive disorder. Journal of Psychiatric Research 2007;41(9):737-43. [DOI: 10.1016/j.jpsychires.2006.07.015]
56. Croff JM. Feasibility of using iPads for data collection at college parties. Alcoholism: Clinical and Experimental Research 2012;36:66A.
57. Cudlip F, Swatzell V, Alexandrov DA, Freier MR, Rowek T, Wojner AJ, et al. Feasibility of an electronic point-of-discharge tablet for collection of perception of stroke care quality data. Stroke 2014;45:AN55.
58. Cunningham JA, Neighbors C, Bertholet N, Hendershot CS. Use of mobile devices to answer online surveys: implications for research. BMC Research Notes 2013;6:258.
59. Dale O, Hagen KB. Despite technical problems personal digital assistants outperform pen and paper when collecting patient diary data. Journal of Clinical Epidemiology 2007;60(1):8-17. [DOI: 10.1016/j.jclinepi.2006.04.005]
60. de Bruijne M, Wijnant A. Comparing survey results obtained via mobile devices and computers: an experiment with a mobile web survey on a heterogeneous group of mobile devices versus a computer-assisted web survey. Social Science Computer Review 2013;31(4):482-504. [DOI: 10.1177/0894439313483976]
61. DeMaria AN. Self quantification of health and fitness. Journal of the American College of Cardiology 2012;60(16):1574-5.
62. Denny SJ, Milfont TL, Utter J, Robinson EM, Ameratunga SN, Merry SN, et al. Hand-held internet tablets for school-based data collection. BMC Research Notes 2008;1:52. [DOI: 10.1186/1756-0500-1-52]
63. Depp CA, Kim DH, de Dios LV, Wang V, Ceglowski J. A pilot study of mood ratings captured by mobile phone versus paper-and-pencil mood charts in bipolar disorder. Journal of Dual Diagnosis 2012;8(4):326-32.
64. Desai S, Witkiewitz K, Bowen S, Larimer M. The moderating effect of behavioral monitoring on the association between urgency and drinking outcomes among college students. Alcoholism: Clinical and Experimental Research 2012;36:243A.
65. Dewit MA. Evaluating the impact of an iPad application on the efficiency and accuracy of data collection in clinical sessions of Acceptance and Commitment Therapy. Carbondale, IL: Southern Illinois University Carbondale, 2012.
66. Duncan MJ, Vandelanotte C, Rosenkranz RR, Caperchione CM, Ding H, Ellison M, et al. Effectiveness of a website and mobile phone based physical activity and nutrition intervention for middle-aged males: trial protocol and baseline finding of the ManUp Study. BMC Public Health 2012;12:656.
67. Dupont A, Wheeler J, Herndon JE 2nd, Coan A, Zafar SY, Hood L, et al. Use of tablet personal computers for sensitive patient-reported information. Journal of Supportive Oncology 2009;7(3):91-7.
68. Dy CJ, Schmicker T, Tran Q, Chadwick B, Daluiski A. The use of a tablet computer to complete the DASH questionnaire. Journal of Hand Surgery 2012;37(12):2589-94.
69. Edwards JF. The Pyschometric Equivalency of Scores from a Web-Based Questionnaire Administered via Cellphone versus Desktop Computer. Mississippi State University, 2008.
70. Escandon IN, Searing H, Goldberg R, Duran R, Arce JM. The use of PDAs to collect baseline survey data: Lessons learned from a pilot project in Bolivia. Global Public Health 2008;3(1):93-104. [DOI: 10.1080/17441690701437021]
71. Eskenazi B, Quiros-Alcalá L, Lipsitt JM, Wu LD, Kruger P, Ntimbane T, et al. mSpray: a mobile phone technology to improve malaria control efforts and monitor human exposure to malaria control pesticides in Limpopo, South Africa. Environment International 2014;68:219-26.
72. Fanning J, McAuley E. A comparison of tablet computer and paper-based questionnaires in healthy aging research. Journal of Medical Internet Research - Research Protocols 2014;3(3):e38. [DOI: 10.2196/resprot.3291]
73. Fanning JT, McAuley E. A comparison of iPad and paper-based questionnaires in healthy aging research. Annals of Behavioral Medicine 2014;47:S22. [DOI: 10.1007/s12160-014-9596-9]
74. Farach N, Galindo H, Tinajeros F, Guardado M. Use of tablets for data collection among female sex workers: lessons learned from a behavioural surveillance study in Honduras, 2012. Sexually Transmitted Infections 2013;89:A248. [DOI: 10.1136/sextrans-2013-051184.0771]
75. Faurholt-Jepsen M, Vinberg M, Christenses EM, Frost M, Bardram J, Kessing LV. Daily electronic self-monitoring of subjective and objective symptoms in bipolar disorder - the MONARCA trial protocol (MONitoring, treATment and pRediCtion of bipolAr disorder episodes): a randomised controlled single-blind trial. BMJ Open 2013;3(7):e003353. [DOI: 10.1136/bmjopen-2013-003353]
76. Fritz F, Balhorn S, Riek M, Breil B, Dugas M. Qualitative and quantitative evaluation of EHR-integrated mobile patient questionnaires regarding usability and cost-efficiency. International Journal of Medical Informatics 2012;81(5):303-13.
77. Galliber JM, Stewart TV, Patbak PK, Werner JJ, Dickinson LM, Hickner JM. Data Collection Outcomes Comparing Paper Forms With PDA Forms in an Office-Based Patient Survey. Annals of Family Medicine 2008;6(2):154-60.
78. Garcia Vega OA, Buendía Rodriguez JA. Concordance among three self-reported measures of medication adherence and count of tablets records in Colombian hypertensive patients. Value in Health 2010;13(3):A167.
79. Gibbons C, Caudwell P, Finlayson G, King N, Blundell J. Validation of a new hand-held electronic data capture method for continuous monitoring of subjective appetite sensations. International Journal of Behavioral Nutrition and Physical Activity 2011;8:57.
80. Giesinger JM, Kuster MS, Holzner B, Giesinger K. Development of a computer-adaptive version of the forgotten joint score. Journal of Arthroplasty 2013;28(3):418-22.
81. Glaser D, Jain S, Kortum P. Benefits of a physician-facing tablet presentation of patient symptom data: comparing paper and electronic formats. BMC Medical Informatics and Decision Making 2013;13:99.
82. Goldstein LA, Connolly Gibbons MB, Thompson SM, Scott K, Heintz L, Green P, et al. Outcome assessment via handheld computer in community mental health: consumer satisfaction and reliability. Journal of Behavioral Health Services & Research 2011;38(3):414-23.
83. Gupta A, Thapar J, Singh A, Singh P, Srinivasan V, Vardhan V. Simplifying and improving mobile based data collection. Proceedings of the Sixth International Conference on Information and Communications Technologies and Development. Cape Town, South Africa: ACM, 2013 Dec 07-10:45-8.
84. Gurland B, Ferreira PCA, Sobol T, Kiran RP. Using technology to facilitate data capture and integration of patient reported outcomes (PRO) into colorectal surgical practice. Colorectal Disease 2010;12(Suppl 1):45.
85. Gurland B, Alves-Ferreira PC, Sobol T, Kiran RP. Using technology to improve data capture and integration of patient-reported outcomes into clinical care: pilot results in a busy colorectal unit. Diseases of the Colon & Rectum 2010;53:1168-75.
86. Hallum-Montes RM, Opdyke KM, Ruggeri C, Aliaga M, Bal D, Hurlbert M, et al. Implementation of electronic client-level data collection via tablet technology among organizations supported by the Avon breast health outreach program. Cancer Research 2013;73:P6-08-15.
87. Harralson T, Toche-Manley L, Dietzen L, Grissom G, O'Hea E, Boudreaux E. Development and implementation of an automated distress management system for cancer patients. American Psychosocial Oncology Society 10th Annual Conference. 2013 Feb 13-15.
88. Harris MA, Duke DC, Raymond JK, Harris JB, Shimomaeda L, Shimomaeda K. Self-administered diabetes self-management profile (SA-DSMP): reliability, validity, and utility. Diabetes 2013;62:A636.
89. Hashemian M, Knowles D, Calver J, Qian W, Bullock MC, Bell S, et al. iEpi: An end to end solution for collecting, conditioning and utilizing epidemiologically relevant data. Proceedings of the 2nd ACM International Workshop on Pervasive Wireless Healthcare. Hilton Head, South Carolina, USA: ACM, 2012 Jun 11-14:3-8.
90. Haver AE, Marcotulio N, Elliott JP. Utilization of iPads to facilitate data collection during pediatric screening events. Pharmacotherapy 2011;31(10):418e-9e.
91. Heiberg T, Kvien TK, Dale Ø, Mowinckel P, Aanerud GJ, Songe-Møller AB, et al. Daily health status registration (patient diary) in patients with rheumatoid arthritis: a comparison between personal digital assistant and paper-pencil format. Arthritis and Rheumatism 2007;57(3):454-60.
92. Hollen PJ, Gralla RJ, Stewart JA, Meharchand JM, Wierzbicki R, Leighl N. Can a computerized format replace a paper form in PRO and HRQL evaluation? Psychometric testing of the computer-assisted LCSS instrument (eLCSS-QL). Supportive Care in Cancer 2013;21(1):165-72.
93. Huang F, Zhu ZH, Wang WZ, Zhang JX, Ji Y, Zhang K, et al. Psychometric equivalence between mobile phone based and paper-and-pencil tests: a case with children's revised impact of event scale. Chinese Journal of Clinical Psychology 2010;18(1):31-3.
94. Zirong H, Junqing W, Coffey PS, Kilbourne-Brook M, Yufeng Z, Wang C, et al. Performance of the woman's condom among couples in Shanghai, China. European Journal of Contraception and Reproductive Health Care 2012;17(3):212-8.
95. Huguet A, Stinson J, MacKay B, Watters C, Tougas M, White M, et al. Bringing psychosocial support to headache sufferers using information and communication technology: lessons learned from asking potential users what they want. Pain Research & Management 2014;19(1):e1-e8.
96. Hundeshagen G, Weissman O, Farber N, Winkler E, Haik J. Approaches to clinical research: alternative use of the Google Docs survey function for mobile data collection using physicians' smartphones. Plastic & Reconstructive Surgery 2013;131(1):135e-6e.
97. Hutchesson MJ, Rollo ME, Callister R, Collins CE. Self-monitoring of dietary intake by young women: online food records completed on computer or smartphone are as accurate as paper-based food records but more acceptable. Journal of the Academy of Nutrition and Dietetics 2015;115(1):87-94.
98. Isara AR, Onyeagwara NC, Lawin H, Irabor I, Igwenyi C, Kabamba L. Survey of airflow obstruction in two African countries: paper questionnaire versus mobile phone technology. African Journal of Respiratory Medicine 2013;8(2):13-6.
99. Jacob E, Stinson J, Duran J, Gupta A, Gerla M, Lewis MA, et al. Usability testing of a smartphone for accessing a web-based e-diary for self-monitoring of pain and symptoms in sickle cell disease. Journal of Pediatric Hematology/Oncology 2012;34(5):326-35.
100. Jaspan HB, Flisher AJ, Myer L, Mathews C, Seebregts C, Berwick JR, et al. Brief report: methods for collecting sexual behaviour information from South African adolescents - a comparison of paper versus personal digital assistant questionnaires. Journal of Adolescence 2007;30(2):353-9.
101. Johnson EK, Estrada CR, Johnson KL, Nguyen HT, Rosoklija I, Nelson CP. Evaluation of a mobile voiding diary for pediatric patients with voiding dysfunction: a prospective comparative study. Journal of Urology 2014;192(3):908-13.
102. Juniper EF, Langlands JM, Juniper BA. Patients may respond differently to paper and electronic versions of the same questionnaires. Respiratory Medicine 2009;103(6):932-4.
103. Junker U, Freynhagen R, Längler K, Gockel U, Schmidt U, Tölle TR, et al. Paper versus electronic rating scales for pain assessment: a prospective, randomised, cross-over validation study with 200 chronic pain patients. Current Medical Research and Opinion 2008;24(6):1797-806.
104. Kajander K, Lätti M, Hatakka K, Korpela R. An electronic diary versus a paper diary in measuring gastrointestinal symptoms. Digestive and Liver Disease 2007;39(3):288-9.
105. Kauer SD, Reid SC, Crooke AHD, Khor A, Hearps SJC, Jorm AF, et al. Self-monitoring using mobile phones in the early stages of adolescent depression: randomized controlled trial. Journal of Medical Internet Research 2012;14(3):e67.
106. Kaufman ZA, Hershow R, DeCelles J, Bhauti K, Dringus S, Delany-Moretlwe S, et al. Acceptability of data collection on mobile phones using ODK software for self-administered sexual behaviour questionnaires. Sexually Transmitted Infections 2013;89(Suppl 1):A249.
107. Kelly SM, Gryczynski J, Mitchell SG, Kirk A, O'Grady KE, Schwartz RP. Validity of brief screening instrument for adolescent tobacco, alcohol, and drug use. Pediatrics 2014;133(5):819-26.
108. Khair K, Barrie A, Hubert N, Holland M. Pedhal goes electronic - results of a single centre pilot study. Haemophilia 2014;20(Suppl 2):33.
109. Khair K, Hubert N, Barri A, Spires J, Griffioen A, Holland M. IPad-based PedHAL app is intuitive and acceptable to boys with hemophilia. Haemophilia 2014;20(Suppl 3):84.
110. Khor AS, Gray KM, Reid SC, Melvin GA. Feasibility and validity of ecological momentary assessment in adolescents with high-functioning autism and Asperger's disorder. Journal of Adolescence 2014;37(1):37-46.
111. Khor AS, Melvin GA, Reid SC, Gray KM. Coping, daily hassles and behavior and emotional problems in adolescents with high-functioning autism/Asperger's disorder. Journal of Autism and Developmental Disorders 2014;44(3):593-608.
112. Khraishi M, Aslanov R, Fudge K. The validation of a new simple disease activity tool in Systemic Lupus Erythematosus (SLE): the Lupus Activity Scoring Tool (LAST) as compared to the SLEDAI SELENA modification. Lupus 2013;22(1):70-1.
113. Kimel M, McCormak J, Chen WH, Van Brunt K, Runken MC. A comparative trial of paper-and-pencil versus electronic administration of the Patient Perception of Migraine Questionnaire-Revised (PPMQ-R). 52nd Annual Scientific Meeting of the American Headache Society. Los Angeles, CA, 2010 Jun 24-27.
114. King JD, Buolamwini J, Cromwell EA, Panfel A, Teferi T, Zerihun M, et al. A novel electronic data collection system for large-scale surveys of neglected tropical diseases. PLoS ONE 2013;8(9):e74570. [DOI: 10.1371/journal.pone.0074570]
115. Kirwan M, Duncan MJ, Vandelanotte C, Mummery WK. Using smartphone technology to monitor physical activity in the 10, 000 steps program: a matched case-control trial. Journal of Medical Internet Research 2012;14(2):e55. [DOI: 10.2196/jmir.1950]
116. Kochan B, Bellemans T, Janssens D, Wets G, Timmermans H. Paper-and-pencil versus personal digital assistant enabled surveys: a comparison. Transportation Systems: Engineering & Management. 12th Conference of the Hong-Kong Society for Transportation Studies. Hong Kong University Science & Technology, 2007 Dec 08-10.
117. Krogh AB, Larsson B, Linde M. Comparing electronic and paper diary recordings of headache among adolescents in the general population. Cephalalgia 2013;33(8):142-3.
118. Kuntsche E, Labhart F. Internet-based data collection method for ecological momentary assessment using personal cell phones. European Journal of Psychological Assessment 2013;29(2):140-8. [DOI: 10.1027/1015-5759/a000137]
119. Kuntsche E, Labhart F. The future is now--using personal cellphones to gather data on substance use and related factors. Addiction 2014;109(7):1052-3.
120. Lam J, Barr RG, Catherine N, Tsui H, Hahnhaussen CL, Pauwels J, et al. Electronic and paper diary recording of infant and caregiver behaviors. Journal of Developmental and Behavioral Pediatrics 2010;31(9):685-93.
121. Lange S, Süß HM. Measuring slips and lapses when they occur - ambulatory assessment in application to cognitive failures. Consciousness and Cognition 2014;24:1-11.
122. Lee IJ, Huang S-Y, Tsou M-Y, Chan K-H, Chang K-Y. Decision analysis for a data collection system of patient-controlled analgesia with a multi-attribute utility model. Journal of the Chinese Medical Association 2010;73(10):533-9.
123. Lee H, Ahn H, Choi S, Choi W. The SAMS: Smartphone Addiction Management System and verification. Journal of Medical Systems 2014;38(1):1.
124. Levine J, Wolf RL, Chinn C, Edelstein BL. MySmileBuddy: an iPad-based interactive program to assess dietary risk for early childhood caries. Journal of the Academy of Nutrition & Dietetics 2012;112(10):1539-42.
125. Lundy JJ. Implementing New COA Instruments on Alternative Data Collection Modes: The Electronic Implementation Assessment. Value in Health 2013;16(3):A39.
126. Malotte C, Cutting A, Huettner S, Matson P, Ellen J. Feasibility of using cell phones for daily data collection within adolescent cohort studies. Sexually Transmitted Infections 2011;87:A260-1.
127. Mangera A, Marzo A, Heron N, Fernando D, Hameed K, Soliman A-HA, et al. Development of two electronic bladder diaries: a patient and healthcare professionals pilot study. Neurourology and Urodynamics 2014;33(7):1101-9.
128. Marceau LD, Link C, Jamison RN, Carolan S. Electronic diaries as a tool to improve pain management: is there any evidence?. Pain Medicine 2007;8(Suppl 3):S101-9.
129. Marceau LD, Link CL, Smith LD, Carolan SJ, Jamison RN. In-Clinic use of electronic pain diaries: barriers of implementation among pain physicians. Journal of Pain and Symptom Management 2010;40(3):391-404.
130. Martin P, Brown C, Cuffe S, Pringle D, Mahler M, Villeneuve J, et al. Use of iPad technology to determine cancer patient-reported preferences for and understanding of pharmacogenetic testing (PGT). Journal of Clinical Oncology 2012;Suppl 34:Abstract 319.
131. Matthew AG, Currie KL, Irvine J, Ritvo P, Santa Mina D, Jamnicky L, et al. Serial personal digital assistant data capture of health-related quality of life: a randomized controlled trial in a prostate cancer clinic. Health and Quality of Life Outcomes 2007;5:38.
132. Matthew AG, Currie KL, Ritvo P, Nam R, Nesbitt ME, Kalnin RW, et al. Personal digital assistant data capture: the future of quality of life measurement in prostate cancer treatment. Journal of Oncology Practice 2007;3(3):115-20.
133. Mavletova 2013. Data quality in PC and mobile web surveys. Social Science Computer Review 2013;31(6):725-43.
134. Mavletova A, Couper MC. Sensitive topics in PC web and mobile web surveys: is there a difference?. Survey Research Methods 2013;7(3):191-205.
135. Mays D, Cremeens J, Usdan S, Martin RJ, Arriola KJ, Bernhardt JM. The feasibility of assessing alcohol use among college students using wireless mobile devices: Implications for health education and behavioural research. Health Education Journal 2010;69(3):311-20.
136. McCaw JM, Forbes K, Nathan PM, Pattison PE, Robins GL, Nolan TM, et al. Comparison of three methods for ascertainment of contact information relevant to respiratory pathogen transmission in encounter networks. BMC Infectious Diseases 2010;10:166.
137. McIntosh LD, Black L, Morley J, Long S, Carter P, Jones E, et al. Assessing the feasibility of electronic data collection for men with prostate cancer. Journal of Urology 2013;189(4S):e185-6.
138. Michalak EE, Kreindler DM, Murray G, Suto M, Johnson S, Amari E, et al. Mood monitoring in bipolar disorder: a hand-held computer intervention. Bipolar Disorders 2009;11(Suppl 1):63.
139. Miller DP, Denizard-Thompson NM, Wofford JL, Babcock D, Weaver KE, Case LD, et al. iPad-based patient education and data collection for colorectal cancer screening. Journal of General Internal Medicine 2013;28:S245-6.
140. Mulvaney SA, Rothman RL, Dietrich MS, Wallston KA, Grove E, Elasy TA, et al. Using mobile phones to measure adolescent diabetes adherence. Health Psychology 2012;31(1):43-50.
141. Nishiguchi S, Ito H, Yamada M, Yoshitomi H, Furu M, Ito T, et al. Self-assessment tool of disease activity of rheumatoid arthritis by using a smartphone application. Telemedicine Journal and e-Health 2014;20(3):235-40.
142. Oliver E, Baños RM, Cebolla A, Lurbe E, Alvarez-Pitti J, Botella C. An electronic system (PDA) to record dietary and physical activity in obese adolescents; data about efficiency and feasibility [Un sistema electrónico (PDA) para el registro de ingesta y actividad física en adolescentes obesos; datos sobre eficiencia y viabilidad]. Nutrición Hospitalaria 2013;28(6):1860-6. [DOI: 10.3305/nh.2013.28.6.6784]
143. Pakhare AP, Bali S, Kalra G. Use of mobile phones as research instrument for data collection. Indian Journal of Community Health 2013;25(2):95-8.
144. Patel RA, Klasnja P, Hartzler A, Unruh KT, Pratt W. Probing the benefits of real-time tracking during cancer care. AMIA Annual Symposium Proceedings. Chicago, IL, 2012 Nov 03-07:1340-9.
145. Patnaik S, Brunskill E, Thies W. Evaluating the accuracy of data collection on mobile phones: a study of forms, SMS, and voice. International Conference on Information and Communication Technologies and Development. 2009 Apr 17-19:74-84.
146. Pau D, Nguyen L, Pibre S, Gokou S, Paget J. Results of a study using a tablet PC to collect PROS in elderly population. Value in Health 2013;16(7):A604.
147. Pfaeffli L, Maddison R, Jiang Y, Dalleck L, Löf M. Measuring physical activity in a cardiac rehabilitation population using a smartphone-based questionnaire. Journal of Medical Internet Research 2013;15(3):e61.
148. Phillips KA, Epstein DH, Jobes ML, Preston KL. Smartphone-reported stress and drug events and day-end perceived stress, hassles, and mood in methadone-maintained individuals. Journal of General Internal Medicine 2014;29:S209-10.
149. Polak E, Apfel A, Privitera M, Buse D, Haut S. Daily diaries in epilepsy research: does electronic format improve adherence?. Epilepsy Currents 2014;14:180.
150. Quadri N, Langel K, Muehlhausen W, O'Donohoe P, Wild D. Exploring patient perceptions of, and preferences for, pain response scales. Value in Health 2012;15:A482.
151. Rao S, Alberts J, Miller D, Bethoux F, Lee JC, Stough D, et al. Processing Speed Test (PST): A self-administered iPad®-based tool for assessing MS-related cognitive dysfunction. Neurology 2014;82(10 (Suppl)):S33.001.
152. Raptis DA, Rolf G. Desktop Versus Mobile Data Collection in Clinical Trial. ClinicalTrials.gov 2011. [NCT01473238]
153. Richter JG, Becker A, Koch T, Nixdorf M, Willers R, Monser R, et al. Self-assessments of patients via Tablet PC in routine patient care: comparison with standardised paper questionnaires. Annals of the Rheumatic Diseases 2008;67(12):1739-41. [DOI: 10.1136/ard.2008.090209]
154. Ring AE, Cheong KA, Watkins CL, Meddis D, Cella D, Harper PG. A randomized study of electronic diary versus paper and pencil collection of patient-reported outcomes in patients with non-small cell lung cancer. Patient 2008;1(2):105-13.
155. Roth AM, Hensel DJ, Fortenberry JD, Garfein RS, Gunn JKL, Wiehe SE. Feasibility and acceptability of cell phone diaries to measure HIV risk behavior among female sex workers. AIDS and Behavior 2014;18(12):2314-24.
156. Runyan JD, Steenbergh TA, Bainbridge C, Daugherty DA, Oke L, Fry BN. A smartphone ecological momentary assessment/intervention "app'' for collecting real-time data and promoting self-awareness. PLoS One 2013;8(8):e71325.
157. Russman A, Hirsch J, Schindler D, Burke D, Linder S, Alberts J. Validation of a self-administered iPad®- and iPod®-based tool for assessing information processing. Neurology 2014;82(10 (Suppl)):P5.302.
158. Sage JM, Ali A, Farrell J, Huggins JL, Covert K, Eskra D, et al. Moving into the electronic age: validation of rheumatology self-assessment questionnaires on tablet computers. Arthritis & Rheumatism 2012; Vol. 64, issue Suppl:S1102.
159. Sander P, Chung S, Ellen J, Matson P. Missing data in a mobile phone daily diary study of adolescents. American Journal of Epidemiology 2012;175(11 Suppl):S137.
160. Scheers T, Philippaerts R, Lefevre J. Assessment of physical activity and inactivity in multiple domains of daily life: a comparison between a computerized questionnaire and the SenseWear Armband complemented with an electronic diary. International Journal of Behavioral Nutrition and Physical Activity 2012;9:71.
161. Schlechtweg PM, Hammon M, Heberlein C, Giese D, Uder M, Schwab SA. Can the documented patient briefing be carried out with an iPad app?. Journal of Digital Imaging 2013;26(3):383-92.
162. Seebregts CJ, Zwarenstein M, Mathews C, Fairall L, Flisher AJ, Seebregts C, et al. Handheld computers for survey and trial data collection in resource-poor settings: development and evaluation of PDACT, a Palm Pilot interviewing system. International Journal of Medical Informatics 2009;78(11):721-31.
163. Shafran I, Burgunder P, Shamosh B. Mobile and web-based application for IBD tracking. Inflammatory Bowel Diseases 2009;15:S40.
164. Shapiro S, Stuckey M, Sabourin K, Munoz C, Petrella RJ. Smartphone technology versus paper-based logs for type II diabetes prevention: psychological and behavioral outcomes. Canadian Journal of Cardiology 2011;27(5 Suppl):S173-4.
165. Shay LE, Seibert D, Watts D, Sbrocco T, Pagliara C. Adherence and weight loss outcomes associated with food-exercise diary preference in a military weight management program. Eating Behaviors 2009;10(4):220-7.
166. Short J, Johnson R, Barr L, Yeh WC, Harvey J, Mathen V. iPad based applications have the potential to revolutionise cancer data collection. European Journal of Surgical Oncology 2013;39(11):S81.
167. Smith PH, Homish GG, Barrick C, Grier NL. Using touch-screen technology to assess smoking in a low-income primary care clinic: a pilot study. Substance Use & Misuse 2011;46(14):1750-4.
168. Smith LP, Hua J, Seto E, Du S, Zang J, Zou S, et al. Development and validity of a 3-day smartphone assisted 24-hour recall to assess beverage consumption in a Chinese population: a randomized cross-over study. Asia Pacific Journal of Clinical Nutrition 2014;23(4):678-90.
169. Spark S, Lewis D, Vaisey A, Smyth E, Wood A, Temple-Smith M, et al. 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):94-101.
170. Sternfeld B, Jiang SF, Picchi T, Chasan-Taber L, Ainsworth B, Quesenberry CP Jr. Evaluation of a cell phone-based physical activity diary. Medicine and Science in Sports and Exercise 2012;44(3):487-95.
171. Stukenborg G, Blackhall L, Harrison J, Read P. Palliative care cancer patient reported outcomes assessment using tablets. Supportive Care in Cancer 2013;21(Suppl 1):S118-9.
172. Swartz RJ, de Moor C, Cook KF, Fouladi RT, Basen-Engquist K, Eng C, et al. Mode effects in the center for epidemiologic studies depression (CES-D) scale: personal digital assistant vs. paper and pencil administration. Quality of Life Research 2007;16(5):803-13.
173. Tegang SP, Emukule G, Wambugu S, Kabore I, Mwarogo P. A comparison of paper-based questionnaires with PDA for behavioral surveys in Africa: findings from a behavioral monitoring survey in Kenya. Journal of Health Informatics in Developing Countries 2009;3(1):22-5.
174. Temple L, Patil S. Feasibility and Psychometric Properties of Paper vs. Web vs. Automated Telephone Administration of Patient Reported Outcome Surveys. ClinicalTrials.gov 2014. [NCT01458509]
175. Tolley C, Lalonde J, Rofail D, Gater A. "It was easier than dealing with a pen and paper...": exploring the usability of electronic devices for completion of Clinical Outcome Assessments (COAs) in schizophrenia. European Archives of Psychiatry and Clinical Neuroscience 2013;263(Suppl 1):S87.
176. Trapl ES. Understanding adolescent survey responses: impact of mode and other characteristics on data outcomes and quality. Dissertation Abstracts International: Section B: The Sciences and Engineering 2007; Vol. 68:2303.
177. Trapl ES, Taylor HG, Colabianchi N, Litaker D, Borawski EA. Value of audio-enhanced handheld computers over paper surveys with adolescents. American Journal of Health Behavior 2013;37(1):62-9. [DOI: 10.5993/AJHB.37.1.7]
178. Tully LM, De Leon E, Motoru S, Wahba K, Smith P, Singh K, et al. Using a novel mobile health application to monitor symptoms and functioning in an early psychosis program: preliminary data on feasibility and acceptability. Biological Psychiatry 2014;75:387S.
179. Tyser AR, Beckmann J, Weng C, O'Farrell A, Hung M. A randomized trial of the disabilities of the arm, shoulder, and hand administration: tablet computer versus paper and pencil. Journal of Hand Surgery - American Volume 2015;40(3):554-9.
180. Unver YB, Yavuz GA, Sinclair SH. Interactive, computer-based, self-reported, visual function questionnaire: the PalmPilot-VFQ. Eye 2009;23(7):1572-81.
181. van Duinen M, Rickelt J, Griez E. Validation of the electronic Visual Analogue Scale of Anxiety. Progress in Neuro-Psychopharmacology & Biological Psychiatry 2008;32(4):1045-7.
182. van Heerden AC, Norris SA, Tollman SM, Stein AD, Richter LM. Field lessons from the delivery of questionnaires to young adults using mobile phones. Social Science Computer Review 2014;32:105-12.
183. Vargas PA, Robles E, Harris J, Radford P. Using information technology to reduce asthma disparities in underserved populations: a pilot study. Journal of Asthma 2010;47(8):889-94.
184. Viana JS, Pombo N, Araújo P, Dias da Costa M. Evaluation of a smartphone application connected to a web based system for remote monitoring of post-operative pain in ambulatory surgery: a randomised controlled trial. European Journal of Anaesthesiology 2014;31:225-6.
185. Vinney LA, Grade JD, Connor NP. Feasibility of using a handheld electronic device for the collection of patient reported outcomes data from children. Journal of Communication Disorders 2012;45(1):12-9. [DOI: 10.1016/j.jcomdis.2011.10.001]
186. Walther B, Hossin S, Townend J, Abernethy N, Parker D, Jeffries D. Comparison of electronic data capture (EDC) with the standard data capture method for clinical trial data. PLoS One 2011;6(9):e25348.
187. Wells T, Bailey JT, Link MW. Comparison of smartphone and online computer survey administration. Social Science Computer Review 2014;32(2):238-55. [DOI: 10.1177/0894439313505829]
188. Wharton CM, Johnston CS, Cunningham BK, Sterner D. Dietary self-monitoring, but not dietary quality, improves with use of smartphone app technology in an 8-week weight loss trial. Journal of Nutrition Education and Behavior 2014;46(5):440-4.
189. Wilcox AB, Gallagher KD, Boden-Albala B, Bakken SR. Research data collection methods - from paper to tablet computers. Medical Care 2012;50(Suppl):S68-S73.
190. Wilson D, Wilson G, Patel P. A novel validated electronic patient data acquisition tool standardizes patient reported outcomes (PRO) data acquisition across multi-center environmental exposure chamber and field studies. Journal of Allergy and Clinical Immunology 2013;131(2 Suppl):AB226.
191. Wilson D, Nandkeshore H, Patel P. Development and validation of an electronic patient data acquisition tablet for allergy symptom collection in an environmental exposure chamber and at-home. Allergy 2013;68(Suppl 97):466-7.
192. Witt J, Brown A, Kaler P, Pannell C, Murtagh FEM. The future of data collection in palliative care practice. BMJ Supportive & Palliative Care 2015;5(1):116. [DOI: 10.1136/bmjspcare-2014-000838.36]
193. Wofford JL, Campos CL, Stevens SR, Jones RE. Real-time patient survey data during real-time clinics: Implementing technology-enhanced rapid-cycle quality improvement. Journal of General Internal Medicine 2014;29:S493-4.
194. Wood C, von Baeyer CL, Falinower S, Moyse D, Annequin D, Legout V. Electronic and paper versions of a faces pain intensity scale: concordance and preference in hospitalized children. BMC Pediatrics 2011;11:87.
195. Woods CA, Cumming B. The impact of test medium on use of visual analogue scales. Eye & Contact Lens 2009;35(1):6-10. [DOI: 10.1097/ICL.0b013e3181909b03]
196. Wundes A, Amtmann D, Johnson K, Salem R, Yang DS, Schulz L, et al. Collecting health-related information using a laptop or iPad during regular MS clinic visits: a pilot study. Multiple Sclerosis Journal 2011;17:S317.
197. Yon BA, Johnson RK, Harvey-Berino J, Gold BC, Howard AB. Personal digital assistants are comparable to traditional diaries for dietary self-monitoring during a weight loss program. Journal of Behavioral Medicine 2007;30(2):165-75.
198. Yu P, de Courten M, Pan E, Galea G, Pryor J. The development and evaluation of a PDA-based method for public health surveillance data collection in developing countries. International Journal of Medical Informatics 2009;78(8):532-42.
199. Zhang S, Wu Q, van Velthoven MH, Chen L, Car J, Rudan I, et al. Smartphone versus pen-and-paper data collection of infant feeding practices in rural china. Journal of Medical Internet Research 2012;14(5):e119.
200. Zhu ZH, Huang F, Wang WZ, Zhang JX, Ji Y, Zhang K. The psychometric properties of children's impact of event scale administered via mobile phone. Third International Conference on Bioinformatics and Biomedical Engineering. Beijing, China, 2009 Jun 11-13:1-3.
201. Anand V, McKee S, Dugan TM, Downs SM. Leveraging electronic tablets for general pediatric care: a pilot study. Applied Clinical Informatics 2015;6(1):1-15. [DOI: 10.4338/ACI-2014-09-RA-0071]
202. Benway B, McIntosh L, Black L, Morley J, Long S, Carter P, et al. Electronic data collection for patient-reported outcomes in men with prostate cancer: assessing ease of use and patient satisfaction. Journal of Endourology 2013;27(Suppl 1):A62. [DOI: 10.1089/end.2013.2001]
203. Bjorner JB, Rose M, Gandek B, Stone AA, Junghaenel DU, Ware JE Jr. Method of administration of PROMIS scales did not significantly impact score level, reliability, or validity. Journal of Clinical Epidemiology 2014;67(1):108-13. [DOI: 10.1016/j.jclinepi.2013.07.016]
204. Bjorner JB, Rose M, Gandek B, Stone AA, Junghaenel DU, Ware JE Jr. Difference in method of administration did not significantly impact item response: an IRT-based analysis from the Patient-Reported Outcomes Measurement Information System (PROMIS) initiative. Quality of Life Research 2014;23(1):217-27. [DOI: 10.1007/s11136-013-0451-4]
205. Burke LE, Styn MA, Conroy MB, Ye L, Glanz K, Sevick MA, et al. Adherence to weight loss treatment across three self-monitoring approaches and the association with weight change. Circulation 2012;125:A026.
206. Cunha-Miranda L, Santos H, Miguel C, Barcelos F, Silva C, Fernandes S, et al. Validation of touch-screen questionnaires in spondyloarthropathies. Clinical and Experimental Rheumatology 2014;32:793-4.
207. Nandkeshore H, Recker S, Patel P, Salapatek AM. Electronic patient acquisition tabletdemonstrates a high level of useracceptability and accommodation bypatients with allergic rhinitis studied inin environmental exposure chamber. Allergy: European Journal of Allergy and Clinical Immunology 2013;68(Suppl 97):360.
208. O'Gorman H, Mulhern B, Brazier J, Rotherham N. Comparing the equivalence of Eq-5d-5l across different modes of administration. Value in Health 2014;17:A517.
209. Pfizer . A Study to Compare Two Ways of Completing Pain and Sleep Questions and to Evaluate a New Daily Questionnaire for Assessing Fatigue in Fibromyalgia Patients. ClinicalTrials.gov 2009. [NCT00819624]
210. Schäffeler N, Wickert M, Wallwiener D, Zipfel S, Teufel M. Electronic psychooncological screening of cancer patients (ePOS): diagnostics and clinical pathways. Oncology Research and Treatment 2014;37(Suppl 1):106-7.
211. Khair K, Bladen M, Holland M. Physical function and quality of life in adolescents with haemophilia (SO-FIT study). The Journal of Haemophilia Practice 2014;1(2):11-4. [DOI: 10.17225/jhp.00018]
212. Khair K, Holland M. Acceptability of patient related outcome measures by young people: the SO-FIT study. Haemophilia 2015;21(Suppl 2):53-4.
213. Kingston D, McDonald S, Biringer A, Austin MP, Hegadoren K, McDonald S, et al. Comparing the feasibility, acceptability, clinical-, and cost-effectiveness of mental health e-screening to paper-based screening on the detection of depression, anxiety, and psychosocial risk in pregnant women: a study protocol of a randomized, parallel-group, superiority trial. Trials 2014;15:3. [DOI: 10.1186/1745-6215-15-3]
214. Aanensen DM, Huntley DM, Feil EJ, al-Own F, Spratt BG. EpiCollect: linking smartphones to web applications for epidemiology, ecology and community data collection. PLoS One 2009;4(9):e6968. [DOI: 10.1371/journal.pone.0006968]
215. Adams P, Baumer EPS, Gay G. Staccato social support in mobile health applications. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 2014 Apr 26-May 01:653-62. [DOI: 10.1145/2556288.2557297]
216. Armstrong AW, Watson AJ, Makredes M, Frangos JE, Kimball AB, Kvedar JC. Text-message reminders to improve sunscreen use: a randomized, controlled trial using electronic monitoring. Archives of Dermatology 2009;145(11):1230-6. [DOI: 10.1001/archdermatol.2009.269]
217. Barry MJ, Fowler FJ, O'Leary MP, Bruskewitz RC, Holtgrewe HL, Mebust WK, et al. The American Urological Association symptom index for benign prostatic hyperplasia. The Measurement Committee of the Americal Urological Association. Journal of Urology 1992;148(5):1549-57.
218. Blundell J, de Graaf C, Hulshof T, Jebb S, Livingstone B, Lluch A, et al. Appetite control: methodological aspects of the evaluation of foods. Obesity Reviews 2010;11(3):251-70. [DOI: 10.1111/j.1467-789X.2010.00714.x]
219. Bowling A. Mode of questionnaire administration can have serious effects on data quality. Journal of Public Health 2005;27(3):281-91.
220. Bowling A. Research Methods in Health. 3rd Edition. New York, NY: Open University Press, 2009.
221. Boynton PM, Greenhalgh T. Selecting, designing, and developing your questionnaire. BMJ 2004;328(7451):1312-5.
222. Bruce B, Fries JF. The Stanford Health Assessment Questionnaire: dimensions and practical applications. Health and Quality of Life Outcomes 2003;1:20.
223. Bulloch B, Garcia-Filion P, Notricia D, Bryson M, McConahay T. Reliability of the color analog scale: repeatability of scores in traumatic and nontraumatic injuries. Academic Emergency Medicine 2009;16(5):465-9. [DOI: 10.1111/j.1553-2712.2009.00404.x]
224. Calin A, Garrett S, Whitelock H, Kennedy LG, O'Hea J, Mallorie P, et al. A new approach to defining functional ability in ankylosing spondylitys: the development of the Bath Ankylosing Spondylitis Functional Index. Journal of Rheumatology 1994;21(12):2281-5.
225. Carter Y, Shaw S, Thomas C. The Use and Design of Questionnaires. London: Royal College of General Practitioners, 2000.
226. Coons SJ, Gwaltney CJ, Hays RD, Lundy JJ, Sloan JA, Revicki DA, et al. ISPOR ePRO Task Force. Recommendations on evidence needed to support measurement equivalence between electronic and paper-based patient-reported outcome (PRO) measures: ISPOR ePRO Good Research Practices Task Force report. Value in Health 2009;12(4):419-29. [DOI: 10.1111/j.1524-4733.2008.00470.x]
227. Eaton WW, Muntaner C, Smith C, Tien A, Ybarra M. Center for epidemiologic studies depression scale: review and revision (CESD and CESD-R). In: Maruish ME editor(s). The Use of Psychological Testing for Treatment Planning and Outcomes Assessment. 3rd Edition. London: Lawrence Erlbaum, 2004.
228. Thomson Reuters. EndNote X5. Philadelphia, PA: Thomson Reuters, 2011.
229. EORTC Quality of Life. EORTC QLQ - C30. http://groups.eortc.be/qol/eortc-qlq-c30 (accessed 31 October 2014).
230. Eyler AA. Are diabetes self-management apps based on evidence?. Translational Behavioral Medicine 2013;3(3):233. [DOI: 10.1007/s13142-013-0233-0]
231. Fan W, Yan Z. Factors affecting response rates of the web survey: a systematic review. Computers in Human Behaviour 2010;26(2):132-9.
232. Gaggioli A, Pioggia G, Tartarisco G, Baldus G, Corda D, Cipresso P, et al. A mobile data collection platform for mental health research. Personal and Ubiquitous Computing 2013;17(2):241-51. [DOI: 10.1007/s00779-011-0465-2]
233. Garrett S, Jenkinson T, Kennedy LG, Whitelock H, Gaisford P, Calin A. A new approach to defining disease status in ankylosing spondylitis: the Bath Ankylosing Spondylitis Disease Activity Index. Journal of Rheumatology 1994;21(12):2286-91.
234. Ghersi D, Pang T. From Mexico to Mali: four years in the history of clinical trial registration. Journal of Evidence-Based Medicine 2009;2(1):1-7. [DOI: 10.1111/j.1756-5391.2009.01014.x; PUBMED: 21348976]
235. Griffin DR, Parsons N, Mohtadi NG, Safran MR, Multicenter Arthroscopy of the Hip Outcomes Research Network. A short version of the International Hip Outcome Tool (iHOT-12) for use in routine clinical practice. Arthroscopy 2012;28(5):611-6. [DOI: 10.1016/j.arthro.2012.02.027]
236. Groves RM, Fowler FJ, Couper MP, Lepkowski JM, Singer E, Tourangeau R. Survey Methodology. 2nd Edition. Chichester: John Wiley & Sons, 2009.
237. Gwaltney CJ, Shields AL, Shiffman S. Equivalence of electronic and paper-and-pencil administration of patient-reported outcome measures: a meta-analytic review. Value in Health 2008;11(2):322-33. [DOI: 10.1111/j.1524-4733.2007.00231.x]
238. Hicks CL, von Baeyer CL, Spafford PA, van Korlaar I, Goodenough B. The Faces Pain Scale-Revised: toward a common metric in pediatric pain measurement. Pain 2001;93(2):173-83.
239. Higgins ET, Friedman RS, Harlow RE, Idson LC, Ayduk ON, Taylor A. Achievement orientations from subjective histories of success: promotion pride versus prevention pride. European Journal of Social Psychology 2001;31(1):3-23. [DOI: 10.1002/ejsp.27]
240. Higgins JPT, Green S (editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. Available from www.cochrane-handbook.org.
241. Hosking JD, Newhouse MM, Bagniewska A, Hawkins BS. Data collection and transcription. Controlled Clinical Trials 1995;16(2 Suppl):66S-103S.
242. Huckvale K, Car M, Morrison C, Car J. Apps for asthma self-management: a systematic assessment of content and tools. BMC Medicine 2012;10:144. [DOI: 10.1186/1741-7015-10-144]
243. Ishii K. Internet use via mobile phone in Japan. Telecommunications Policy 2004;28(1):43-58.
244. Klasnja P, Pratt W. Healthcare in the pocket: mapping the space of mobile-phone health interventions. Journal of Biomedical Informatics 2012;45(1):184-98. [DOI: 10.1016/j.jbi.2011.08.017]
245. Lampe AJ, Weiler JM. Data capture from the sponsoners' and investigators' perspectives: balancing quality, speed, and cost. Therapeutic Innovation & Regulatory Science 1998;32(4):871-86. [DOI: 10.1177/009286159803200403]
246. Lane SJ, Heddle NM, Arnold E, Walker I. A review of randomized controlled trials comparing the effectiveness of hand held computers with paper methods for data collection. BMC Medical Informatics and Decision Making 2006;6:23. [DOI: 10.1186/1472-6947-6-23]
247. Lavrakas PJ. Encyclopedia of Survey Research Methods. Los Angeles; London: SAGE Publications, Inc, 2008. [ISBN: 9781412918084]
248. Link MW, Murphy J, Schober MF, Buskirk TD, Cilds JH, Tesfaye CL. Mobile Technologies for Conducting, Augmenting and Potentially Replacing Surveys: Report of the AAPOR Task Force on Emerging Technologies in Public Opinion Research. 25th April 2014. https://www.aapor.org/AAPORKentico/AAPOR_Main/media/MainSiteFiles/REVISED_Mobile_Technology_Report_Final_revised10June14.pdf (accessed 20 April 2015).
249. Manfreda L, Bosnjak M, Berzelak J, Haas I, Vehovar V. Web surveys versus other survey modes - a meta-analysis comparing response rates. International Journal of Market Research 2008;50(1):79-104.
250. Marcano Belisario JS, Huckvale K, Greenfield G, Car J, Gunn LH. Smartphone and tablet self management apps for asthma. Cochrane Database of Systematic Reviews 2013, Issue 11. [DOI: 10.1002/14651858.CD010013.pub2]
251. Mavletova A, Couper MP. Mobile web survey design: scrolling versus paging, SMS versus e-mail invitations. Journal of Survey Statistics and Methodology 2014;2(4):498-518. [DOI: 10.1093/jssam/smu015]
252. Oulasvirta A, Rattenbury T, Ma L, Raita E. Habits make smartphone use more pervasive. Personal and Ubiquitous Computing 2012;16:105-14.
253. Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Applied Psychological Measurement 1977;1:385-401.
254. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap) - a metadata driven methodology and workflow process for providing translational research informatics support. Journal of Biomedical Informatics 2009;42(2):377-81.
255. The Nordic Cochrane Centre, The Cochrane Collaboration. Review Manager (RevMan). Version 5.3. Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2014.
256. Rodgers M, Sowden A, Petticrew M, Arai L, Roberts H, Britten N, et al. Testing methodological guidance on the conduct of narrative synthesis in systematic reviews: effectiveness of interventions to promote smoke alarm ownership and function. Evaluation 2009;15:49. [DOI: 10.1177/1356389008097871]
257. Rodrigues R, Shet A, Antony J, Sidney K, Arumugam K, Krishnamurthy S, et al. Supporting adherence to antiretroviral therapy with mobile phone reminders: results from a cohort in South India. PLoS One 2012;7(8):e40723. [DOI: 10.1371/journal.pone.0040723]
258. Sesto ME, Irwin CB, Chen KB, Chourasia AO, Wiegmann DA. Effect of touch screen button size and spacing on touch characteristics of users with and without disabilities. Human Factors 2012;54(3):425-36.
259. Shih TH, Fan X. Comparing response rates in e-mail and paper surveys: a meta-analysis. Educational Research Review 2009;4(1):26-40. [DOI: 10.1016/j.edurev.2008.01.003]
260. Tourangeau R, Rips LJ, Rasinski K. The Psychology of Survey Response. Cambridge: Cambridge University Press, 2000.
261. Wallace LS, Dhingra LK. A systematic review of smartphone applications for chronic pain available for download in the United States. Journal of Opioid Management 2014;10(1):63-8. [DOI: 10.5055/jom.2014.0193]
262. Wells T, Bailey JT, Link MW. Comparison of smartphone and online computer survey administration. Social Science Computer Review 2014;32(2):238-55. [DOI: 10.1177/0894439313505829]
263. Wilcox AB, Gallagher KD, Boden-Albala B, Bakken SR. Research data collection methods: from paper to tablet computers. Medical Care 2012;50(Suppl):S68-73. [DOI: 10.1097/MLR.0b013e318259c1e7]
264. Marcano Belisario JS, Huckvale K, Saje A, Porcnik A, Morrison CP, Car J. Comparison of self administered survey questionnaire responses collected using mobile apps versus other methods. Cochrane Database of Systematic Reviews 2014, Issue 4. [DOI: 10.1002/14651858.MR000042]