Tjioe KC, Miranda-Galvis M, Johnson MS, Agrawal G, Balas EA, Cortes JE. The interaction between social determinants of health and cervical cancer survival: A systematic review.
Gynecol Oncol 2024;
181:141-154. [PMID:
38163384 DOI:
10.1016/j.ygyno.2023.12.020]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 12/17/2023] [Accepted: 12/21/2023] [Indexed: 01/03/2024]
Abstract
OBJECTIVE
This systematic review aimed to investigate what are the most relevant social determinants of health (SDH), how they are measured, how they interact among themselves and what is their impact on the outcomes of cervical cancer patients.
METHODS
Search was performed in PubMed, Scopus, Web of Science, Embase, Cochrane, and Google Scholar databases from January 2001 to September 2022. The protocol was registered at PROSPERO (CRD42022346854). We followed the PICOS strategy: Population- Patients treated for cervical cancer in the United States; Intervention - Any SDH; Comparison- None; Outcome measures- Cancer treatment outcomes related to the survival of the patients; Types of studies- Observational studies. Two reviewers extracted the data following the PRISMA guidelines. Joanna Briggs Institute Critical Appraisal Checklist for Analytical Cross-Sectional Studies was used for risk of bias (ROB) assessment.
RESULTS
Twenty-four studies were included (22 had low and 2 had moderate ROB). Most manuscripts analyzed data from public registries (83.3%) and only one SDH (54.17%). The SDH category of Neighborhood was not included in any study. Although the SDH were measured differently across the studies, not being married, receiving treatment at a low-volume hospital, and having public insurance (Medicaid or Medicare) or not being insured was associated with shorter survival of cervical cancer patients in most studies.
CONCLUSIONS
There is a deficit in the number of studies comprehensively assessing the impact of SDH on cervical cancer treatment-related outcomes. Marital status, hospital volume and health insurance status are potential predictors of worse outcome.
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