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

RCTs - Protocols/Proposals (eHealth) (1378) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2424)

Published on in Vol 11, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33818, first published .
Tablet displaying the PainRelief.it login screen for electronic health records

A Stress and Pain Self-management mHealth App for Adult Outpatients With Sickle Cell Disease: Protocol for a Randomized Controlled Study

A Stress and Pain Self-management mHealth App for Adult Outpatients With Sickle Cell Disease: Protocol for a Randomized Controlled Study

Authors of this article:

Miriam O Ezenwa1 Author Orcid Image ;   Yingwei Yao1 Author Orcid Image ;   Molly W Mandernach2 Author Orcid Image ;   David A Fedele3 Author Orcid Image ;   Robert J Lucero4, 5 Author Orcid Image ;   Inge Corless6 Author Orcid Image ;   Brenda W Dyal1 Author Orcid Image ;   Mary H Belkin7 Author Orcid Image ;   Abhinav Rohatgi7 Author Orcid Image ;   Diana J Wilkie1 Author Orcid Image
Article Authors Cited by (3) Tweetations (5) Metrics

Journals

  1. Plett R, Eling C, Tehseen S, Felton K, Martin G, Sheppard V, Pegg M, Sinha R. Empowering patients with sickle cell anemia and their families through innovative educational methods. eJHaem 2023;4(4):949 View
  2. Kama M, Ajah I, Ikegwu A, Obayi A, Uloko F, Ogbuagu I. Systematic review of machine learning approaches for predicting sickle cell crisis and mortality risk at the climate-health nexus. BMC Medical Informatics and Decision Making 2026;26(1) View

Conference Proceedings

  1. Afolalu O, Akpor O, Afolalu S, Afolalu O, Oyewole H, Oke A. 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON). Sickle Cell Disease Epidemiology and Management in Africa: Current Trends and Future Directions in Digital Health Technologies View