Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

BackgroundSpecimen adequacy is an essential indicator of screening programme performance. The effectiveness and efficiency of Pap tests are classified in the laboratory based on their adequacy for interpretation as satisfactory or unsatisfactory.PurposeThe purpose of the study was to determine the processes of collecting, storing, transporting, and evaluating Pap smears in rural health facilities in Limpopo Province, South Africa.MethodA mixed-method research approach was used for the study. An exploratory sequential mixed-methods design was employed to collect and analyse qualitative data, and then use the findings to develop an instrument in a subsequent quantitative phase, thereby increasing the breadth and depth of understanding of the phenomena under study. The population comprised professional nurses, operational managers, and laboratory technicians. The qualitative strand explored challenges to cervical cancer screening, while the quantitative strand described factors contributing to the inadequacy of the cervical component. The study was conducted from July 2019 to February 2020. The results were merged for triangulation.FindingsThe inadequacy rates reported by districts ranged between 38% and 50%. The findings revealed that professional nurses lacked adequate knowledge of the skills required for collecting, labelling, and storing Pap smears before dispatch. Furthermore, the in-service training provided was poorly coordinated and unstructured, and other professional nurses were not keen on screening for cervical cancer, resulting in poor health outcomes for women in the community who had to return for repeat smears.ConclusionInadequacy of the transformation zone component and unsatisfactory smears have a higher risk of progression to cervical cancer or pre-cancer lesion than adequacy of the transformation zone.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12351071PMC
http://dx.doi.org/10.1177/10732748251363746DOI Listing

Publication Analysis

Top Keywords

cervical cancer
16
professional nurses
12
cancer screening
8
limpopo province
8
province south
8
pap smears
8
transformation zone
8
cervical
5
assessing quality
4
quality endocervical
4

Similar Publications

Purpose: Human papillomavirus (HPV) causes oral and anogenital cancers, the incidence of which is increasing. Late-stage diagnosis is associated with increased mortality. Neighborhood-level characteristics and distance to place of diagnosis may impact timely diagnosis.

View Article and Find Full Text PDF

Objectives: Treatment delay can adversely affect cancer prognosis and public health. However, previous studies have not examined the association between cancer treatment delay and 5-year mortality risk for various cancer types in a single study population.

Methods: We used retrospective cohort data from 21 740 patients diagnosed with common cancers between 2000 and 2017, with mortality follow-up to 2022, from the Philippines' Department of Health-Rizal Cancer Registry to understand how treatment delay of <30, 30-90, or >90 days was associated with 5-year all-cause mortality risk, by cancer type and stage at diagnosis.

View Article and Find Full Text PDF

Purpose: The fourth most common cause of cancer-related deaths in women is cervical cancer. Though treatment of early-stage cervical cancer is often effective, middle and advanced stage cervical cancer is hard to treat and prone to recurrence. We sought to explore the mechanism underlying cervical cancer progression to identify new therapeutic approaches.

View Article and Find Full Text PDF

Background: Metabolic reprogramming is an important hallmark of cervical cancer (CC), and extensive studies have provided important information for translational and clinical oncology. Here we sought to determine metabolic association with molecular aberrations, telomere maintenance and outcomes in CC.

Methods: RNA sequencing data from TCGA cohort of CC was analyzed for their metabolic gene expression profile and consensus clustering was then performed to classify tumors into different groups/subtypes.

View Article and Find Full Text PDF