An Evidence-Informed Interpretive Structural Modeling Framework of Factors Associated with Posttraumatic Growth in Patients with Gynecologic Malignancies
Meijun Guan, Shaochuan Chen, Fang Wu, Huimin Li · 2026
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Description
Meijun Guan, Shaochuan Chen, Fang Wu, and Huimin Li model what drives posttraumatic growth after gynecologic cancer. Their study, from twenty twenty-six, uses interpretive structural modeling. Growth after trauma is real for some patients, but its drivers tangle together. Thirty-two past studies seed an initial pool of factors.
Fifteen experts screen and sort that pool. The same panel then judges which factors directly push which others. Matrix math turns those judgments into layers, from surface to root. The final framework is checked again by the experts. Layered targets emerge for clinical support. Interventions can aim at root drivers, not just symptoms.
Catalog record
| CREATOR | Meijun Guan, Shaochuan Chen, Fang Wu, Huimin Li |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 83 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |