ArticleJMIR research protocols2019
A Systematic Framework for Analyzing Patient-Generated Narrative Data: Protocol for a Content Analysis.
Article in JMIR research protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
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- From Stories to Solutions: A Research Cycle Framework for Enhancing Trustworthiness in Studies of Online Patient Narratives.Journal of medical Internet research · 2025Article
- Equitable access to digital higher education for students with disabilities in South Africa.African journal of disability · 2025Article
- Analyzing assisted reproductive treatment representations in Italy and Spain through newspapers.Frontiers in psychology · 2024Article
- A risk identification model for detection of patients at risk of antidepressant discontinuation.Frontiers in artificial intelligence · 2023Article
- Self-care in children and young people with complex chronic conditions: a qualitative study using Emotional Text Mining.Frontiers in pediatrics · 2023Article
- The Relationship between Physiotherapist and Patient: A Qualitative Study on Physiotherapists' Representations on This Theme.Healthcare (Basel, Switzerland) · 2022Article
- Tracking public opinion about online education over COVID-19 in China.Educational technology research and development : ETR & D · 2022Article
- Using a mixed methods approach to identify public perception of vaping risks and overall health outcomes on Twitter during the 2019 EVALI outbreak.International journal of medical informatics · 2021Article
- Analysis of Population Differences in Digital Conversations About Cancer Clinical Trials: Advanced Data Mining and Extraction Study.JMIR cancer · 2021Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundPatient narrative data in online health care forums (communities) are receiving increasing attention from the scientific community for implementing patient-centered care. Natural language processing (NLP) methods are gaining more and more attention because of the enormous data volume. However, state-of-the-art NLP still cannot meet the need of high-resolution analysis of patients' narratives. Manual qualitative analysis still plays a pivotal role in answering complicated research questions from analyzing patient narratives.
objectiveThis study aimed to develop a systematic framework for qualitative analysis of patient-generated narratives in online health care forums.
methodsOur systematic framework consists of 4 phases: (1) data collection, (2) data preparation, (3) content analysis, and (4) interpretation of the results. Data collection and data preparation phases are constructed based on text mining methods for identifying appropriate online health forums for data collection, differentiating posts of patients from other stakeholders, protecting patients' privacy, sampling, and choosing the unit of analysis. Content analysis phase is built on the framework method, which facilitates and accelerates the identification of patterns and themes by an interdisciplinary research team. In the end, the focus of interpretation of the results phase is to measure the data quality and interpret the findings regarding the dimensions and aspects of patients' experiences and concerns in their original contexts.
resultsWe demonstrated the usability of the proposed systematic framework using 2 case studies: one on determining factors affecting patients' attitudes toward antidepressants and another on identifying the disease management strategies in patient with diabetes facing financial difficulties. The framework provides a clear step-by-step process for systematic content analysis of patient narratives and produces high-quality structured results that can be used for describing patterns or regularities in patients' experiences, generating and testing hypotheses, and identifying areas of improvement in the health care systems.
conclusionsThe systematic framework is a rigorous and standardized method for qualitative analysis of patient narratives. Findings obtained through such a process indicate authentic dimensions and aspects of patient experiences and shed light on patients' concerns, needs, preferences, and values, which are the core of patient-centered care. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/13914.
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