The DOI matches its Crossref record; 101 of the 101 references it cites were found in a registry or an index.
Understanding HIV disclosure: A review and application of the Disclosure Processes Model
Open accessAbstract
HIV disclosure is a critical component of HIV/AIDS prevention and treatment efforts, yet the field lacks a comprehensive theoretical framework with which to study how HIV-positive individuals make decisions about disclosing their serostatus and how these decisions affect them. Recent theorizing in the context of the Disclosure Processes Model has suggested that the disclosure process consists of antecedent goals, the disclosure event itself, mediating processes and outcomes, and a feedback loop. In this paper, we apply this new theoretical framework to HIV disclosure in order to review the current state of the literature, identify gaps in existing research, and highlight the implications of the framework for future work in this area.
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Artificial intelligence and the implementation challenge
Shaw, J., Rudzicz, F., Jamieson, T., & Goldfarb, A. (2019) · Journal of Medical Internet Research · doi:10.2196/13659 · Cited by 389
Link, B. G., & Phelan, J. C. (2013) · Handbooks of Sociology and Social Research · doi:10.1007/978-94-007-4276-5_25 · Cited by 269
Pachankis, J. E., Rendina, H. J., Restar, A., Ventuneac, A., Grov, C., & Parsons, J. T. (2015) · Health Psychology · doi:10.1037/hea0000180 · Cited by 185
Understanding Mobile Health and Youth Mental Health: Scoping Review
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Metadata
- Authors
- Chaudoir, S. R., Fisher, J. D., & Simoni, J. M.
- Venue
- Social Science & Medicine
- Publisher
- Elsevier BV
- Published
- 2011-05
- Volume
- 72
- Issue
- 10
- Pages
- 1618-1629
- ISSN
- 0277-9536 (ISSN-L)
- OpenAlex
- W2078849823
- Cited by
- 393
- References
- 101
- FWCI
- 10.61
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
