Published on in Vol 2, No 2 (2019): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12305, first published .
A Postoperative Pain Management Mobile App (Panda) for Children at Home After Discharge: Usability and Feasibility

A Postoperative Pain Management Mobile App (Panda) for Children at Home After Discharge: Usability and Feasibility

A Postoperative Pain Management Mobile App (Panda) for Children at Home After Discharge: Usability and Feasibility

Journals

  1. Dotto A, Dunsmuir D, Sun T, Chiu L, Ree R, Ansermino J, Yarnold C. The use of the Panda-Nerve Block pain app in single-shot peripheral nerve block patients: a feasibility study. Canadian Journal of Anesthesia/Journal canadien d'anesthésie 2020;67(9):1140 View
  2. Croke L. Using mobile health apps to improve postoperative care and recovery. AORN Journal 2020;111(6) View
  3. Harrison T, Pabelick C. Pediatric pain: is it finally getting better?. Minerva Anestesiologica 2020;86(11) View
  4. Gordon-Williams R, Trigo A, Bassett P, Williams A, Cone S, Lees M, Brandner B, Suso-Ribera C. An Interactive Pain Application (MServ) Improves Postoperative Pain Management. Pain Research and Management 2021;2021:1 View
  5. Sybil D, Krishna M, Shrivastava P, Singh S, Khan I. Innovative App (ExoDont) and Other Conventional Methods to Improve Patient Compliance After Minor Oral Surgical Procedures: Pilot, Nonrandomized, and Prospective Comparative Study. JMIR Perioperative Medicine 2022;5(1):e35997 View
  6. Yang C, Kessler M, Taebi N, Moorthy P, Reissfelder C, Otto M, Vassilev G. Smartphone application-based follow-up care of patients after bariatric surgery: A mixed-method study of usability. DIGITAL HEALTH 2022;8:205520762211290 View
  7. Connelly Y, Lotan R, Brzezinski Sinai Y, Rolls D, Beker A, Abensour E, Neudorfer O, Stocki D. Implementation of a Personalized Digital App for Pediatric Preanesthesia Evaluation and Education: Ongoing Usability Analysis and Dynamic Improvement Scheme. JMIR Formative Research 2022;6(5):e34129 View
  8. Walrave Y, Carles M, Evain J, Ikonomoff T, Marie A, Ludot H, Bourdaud N, Kern D, Lejus-Bourdeau C, Orliaguet G, Rosello O, Ecoffey C, Savoldelli C, Perissier C, Delacquis M, Varé B, Donzeau D, Cousin C, Langlais E, Breaud J, Jonckheer K, Dadure C, De la Brière F. A follow-up of pain reported by children undergoing outpatient surgery using a smartphone application: AlgoDARPEF multicenter descriptive prospective study. Pain 2022;163(11):2224 View
  9. McLean K, Knight S, Diehl T, Varghese C, Ng N, Potter M, Zafar S, Bouamrane M, Harrison E. Readiness for implementation of novel digital health interventions for postoperative monitoring: a systematic review and clinical innovation network analysis. The Lancet Digital Health 2023;5(5):e295 View
  10. Brigden A, Garg M, Deighan M, Rai M, Leveret J, Crawley E. Digital tools for assessing chronic pain in children (5–11 years): Systematic review. Paediatric and Neonatal Pain 2023 View
  11. Sreepada R, Chang A, West N, Sujan J, Lai B, Poznikoff A, Munk R, Froese N, Chen J, Görges M. Dashboard of Short-Term Postoperative Patient Outcomes for Anesthesiologists: Development and Preliminary Evaluation. JMIR Perioperative Medicine 2023;6:e47398 View
  12. Costa E, Isgrò A, de Montalembert M, Leufkens H, Ware R, De Franceschi L. Successes and pitfalls in orphan drug development for sickle cell disease. Blood Advances 2024;8(10):2455 View