Determinants of Population-Based Cancer Screening Performance at Primary Healthcare Institutions in China

Zheng, Senshuang; Zhang, Xiaorui; Greuter, Marcel J W; Bock, Geertruida H. de; Lu, Wenli

doi:10.3390/ijerph18063312

Cited by 3 publications

(3 citation statements)

References 26 publications

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“…On average, each institution performs annually approximately 2000, 2000 and 3000 screenings for breast, cervical and colorectal cancer, respectively. 27 Each cancer screening takes approximately 10 min for a healthcare provider. A previous survey showed that there are 206 (urban: 81; rural: 125), 231 (urban: 82; rural: 149) and 261 (urban: 95; rural: 166) primary healthcare institutions that perform breast, cervical and colorectal cancer screening in Tianjin, respectively.…”

Section: Methodsmentioning

confidence: 99%

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Willingness of healthcare providers to perform population-based cancer screening: a cross-sectional study in primary healthcare institutions in Tianjin, China

Zheng,

Zhang,

Greuter

et al. 2024

BMJ Open

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ObjectiveTo evaluate the willingness of healthcare providers to perform population-based screening in primary healthcare institutions in China.MethodsHealthcare providers of 262 primary healthcare institutions in Tianjin were invited to fill out a questionnaire consisting of demographic characteristics, workload, and knowledge of, attitude towards and willingness to perform breast, cervical and colorectal cancer screening. Willingness to screen was the primary outcome. Multilevel logistic regression models were conducted to analyse the determinants of healthcare providers’ willingness to screen. ORs and 95% CIs were estimated.ResultsA total of 554 healthcare providers from 244 institutions answered the questionnaire. 67.2%, 72.1% and 74.3% were willing to perform breast, cervical and colorectal cancer screening, respectively. A negative attitude towards screening was associated with a low willingness for cervical (OR=0.27; 95% CI 0.08, 0.94) and colorectal (OR=0.08; 95% CI 0.02, 0.30) cancer screening, while this was not statistically significant for breast cancer screening (OR=0.30; 95% CI 0.08, 1.12). For breast, cervical and colorectal cancer screening, 70.1%, 63.8% and 59.0% of healthcare providers reported a shortage of staff dedicated to screening. A perceived reasonable manpower allocation was a determinant of increased willingness to perform breast (OR=2.86; 95% CI 1.03, 7.88) and colorectal (OR=2.70; 95% CI 1.22, 5.99) cancer screening. However, this was not significant for cervical cancer screening (OR=1.76; 95% CI 0.74, 4.18).ConclusionsIn China, healthcare providers with a positive attitude towards screening have a stronger willingness to contribute to cancer screening, and therefore healthcare providers’ attitude, recognition of the importance of screening and acceptable workload should be optimised to improve the uptake of cancer screening.

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Section: Methodsmentioning

confidence: 99%

“…A previous survey showed that there are 206 (urban: 81; rural: 125), 231 (urban: 82; rural: 149) and 261 (urban: 95; rural: 166) primary healthcare institutions that perform breast, cervical and colorectal cancer screening in Tianjin, respectively. 27 …”

Section: Methodsmentioning

confidence: 99%

Willingness of healthcare providers to perform population-based cancer screening: a cross-sectional study in primary healthcare institutions in Tianjin, China

Zheng,

Zhang,

Greuter

et al. 2024

BMJ Open

Self Cite

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“…The concept of community healthcare [109] is deployed with the help of a network which covers a local community. This may include a residential building, a hospital, or a rural commune.…”

Section: Community Healthcarementioning

confidence: 99%

Machine Learning and LPWAN Based Internet of Things Applications in Healthcare Sector during COVID-19 Pandemic

2021

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Low power wide area networks (LPWAN) are comprised of small devices having restricted processing resources and limited energy budget. These devices are connected with each other using communication protocols. Considering their available resources, these devices can be used in a number of different Internet of Things (IoT) applications. Another interesting paradigm is machine learning, which can also be integrated with LPWAN technology to embed intelligence into these IoT applications. These machine learning-based applications combine intelligence with LPWAN and prove to be a useful tool. One such IoT application is in the medical field, where they can be used to provide multiple services. In the scenario of the COVID-19 pandemic, the importance of LPWAN-based medical services has gained particular attention. This article describes various COVID-19-related healthcare services, using the the applications of machine learning and LPWAN in improving the medical domain during the current COVID-19 pandemic. We validate our idea with the help of a case study that describes a way to reduce the spread of any pandemic using LPWAN technology and machine learning. The case study compares k-Nearest Neighbors (KNN) and trust-based algorithms for mitigating the flow of virus spread. The simulation results show the effectiveness of KNN for curtailing the COVID-19 spread.

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miR-127-3p Inhibits Breast Cancer Cell Behaviors via Targeting Benzodiazepine Receptor-Associated Protein 1 (BZRAP1)

Wen

Dai

et al. 2022

j biomater tissue eng

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microRNAs are key regulators of cell proliferation, apoptosis, and anti-cancer immune response. This study intends to evaluate miR-127-3p’s role in breast cancer cells (BC). After transfection, miR-156 and BZRAP1 expression was assessed by qRT-PCR and Western blotting along with analysis of cell proliferation and apoptosis by MTT and flow cytometry. Finally, an in vivo tumor model was established to verify miR-127-3p’s in vivo effect. Transfection of si-BZRAP1/miR-127-3p into MCF-7 cells reduced BZRAP1 expression, inhibited cell proliferation and promoted apoptosis. miR-127-3p is confirmed to target BZRAP1 and exerts tumor suppressor activity by inhibiting BZRAP1. miR-127-3p inhibited BC cell growth and promote apoptosis by targeting BZRAP1, indicating that it is expected to be a target for the treatment of BC. The significance of this study is to confirm that miR-127-3p may participate in tumor progression via BZRAP1, and may become a potential target for treating tumor. Further analysis of the pathogenesis of breast cancer and detection of miR-127-3p/BZRAP1 in BC has important application value in the treatment.

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Determinants of Population-Based Cancer Screening Performance at Primary Healthcare Institutions in China

Cited by 3 publications

References 26 publications

Willingness of healthcare providers to perform population-based cancer screening: a cross-sectional study in primary healthcare institutions in Tianjin, China

Willingness of healthcare providers to perform population-based cancer screening: a cross-sectional study in primary healthcare institutions in Tianjin, China

Machine Learning and LPWAN Based Internet of Things Applications in Healthcare Sector during COVID-19 Pandemic

miR-127-3p Inhibits Breast Cancer Cell Behaviors via Targeting Benzodiazepine Receptor-Associated Protein 1 (BZRAP1)

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