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

Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (538) Participatory Medicine & E-Patients (758)

Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15798, first published .
Features of a Patient Portal for Blood Test Results and Patient Health Engagement: Web-Based Pre-Post Experiment

Features of a Patient Portal for Blood Test Results and Patient Health Engagement: Web-Based Pre-Post Experiment

Features of a Patient Portal for Blood Test Results and Patient Health Engagement: Web-Based Pre-Post Experiment

Authors of this article:

Bas Struikman1 Author Orcid Image ;   Nadine Bol2, 3 Author Orcid Image ;   Annelijn Goedhart4 Author Orcid Image ;   Julia C M van Weert3 Author Orcid Image ;   Esther Talboom-Kamp4, 5 Author Orcid Image ;   Sanne van Delft4 Author Orcid Image ;   Anne E M Brabers1 Author Orcid Image ;   Liset van Dijk1, 6 Author Orcid Image
Article Authors Cited by (6) Tweetations (7) Metrics

Journals

  1. Tossaint-Schoenmakers R, Kasteleyn M, Goedhart A, Versluis A, Talboom-Kamp E. The Impact of Patient Characteristics on Their Attitudes Toward an Online Patient Portal for Communicating Laboratory Test Results: Real-World Study. JMIR Formative Research 2021;5(12):e25498 View
  2. Schackmann L, van Dijk L, Brabers A, Zwier S, Koster E, Vervloet M. Comprehensibility of a personalized medication overview compared to usual-care prescription drug labels. Frontiers in Pharmacology 2022;13 View
  3. Klatt E. Cognitive factors impacting patient understanding of laboratory test information. Journal of Pathology Informatics 2024;15:100349 View
  4. Villalobos-Quesada M, Ho K, Chavannes N, Talboom-Kamp E. Direct-to-patient digital diagnostics in primary care: Opportunities, challenges, and conditions necessary for responsible digital diagnostics. European Journal of General Practice 2023;29(1) View
  5. He Z, Bhasuran B, Jin Q, Tian S, Hanna K, Shavor C, Arguello L, Murray P, Lu Z. Quality of Answers of Generative Large Language Models Versus Peer Users for Interpreting Laboratory Test Results for Lay Patients: Evaluation Study. Journal of Medical Internet Research 2024;26:e56655 View
  6. van der Mee F, Schaper F, Jansen J, Bons J, Meex S, Cals J. Enhancing patient understanding of laboratory test results: a systematic review of presentation formats and their impact on perception, decision, action, and memory (Preprint). Journal of Medical Internet Research 2023 View