An investigation of efficient nursing interventions in early diagnosis of cancer

Abstract

Background and Aims: Due to the contradictory results of previous research and the lack of a specific study to address the effective nursing interventions in the early diagnosis of cancer, the purpose of this study was to determine the effect of nursing interventions on early diagnosis of cancer. Methods: This systematic review and meta-analysis were conducted during the last 5 years from 2015 to September 30, 2020. The articles related to the nursing interventions to early diagnosis of cancer were achieved from PubMed, Cochrane Library, Embase, ISI, Scopus databases, and Google and Google Scholar search engines. Risk-ratio with a 95% confidence interval (CI) between the intervention and control groups was determined using the fixed-effect model, and the Mantel–Haenszel method and I2 showed the heterogeneity of studies. Stata V16 software was used for meta-analysis. Results: The effect of an intervention on early diagnosis of breast cancer was evaluated using mammography, clinical breast examination, and breast self-exam. A total of 300 individuals participated in the study. RR results in the intervention group showed the effectiveness of nursing interventions on breast cancer detected early in both the mammography and colonoscopy (RR, 1.18 95% CI 0.57, 1.79. P =0.00 and RR, 0.58, 95% CI 0.42, 0.75, P = 0.00, respectively). Conclusion: A variety of nursing interventions including education, consultation, patient guidance, and reminders can have a positive impact on the early detection of cancers.

Identify risk factors affecting participation of Turkish women in mammography screening for breast cancer prevention

“…Women, who perform breast self-examinations, pay more attention to the timing of cancer screening programs when compared to those, who don’t. Breast self-examination plays an important role in the early diagnosis of cancer [ 29 ]. It is reported in the literature that most breast cancers are identified by patients [ 44 ].…”

“…The independent variables in this study are those found in the Türkiye Health Survey. The independent variables of the study include age (between the ages of 40 and 49 years, between the ages of 50 and 59 years, and between the ages of 60 and 69 years) [ 13 , 18 ], education (illiterate or did not graduate any school, and elementary school, secondary school, high school, and university graduates) [ 19 – 21 ], marital status (never married, married, and divorced/widowed) [ 22 ], general health status (very good/good, moderate, and poor/very poor) [ 23 ], having an illness lasted/expected to last longer than 6 months (yes, no) [ 24 ], high level of blood lipid [ 25 , 26 ], receiving psychosocial support (yes, no) [ 27 , 28 ], and frequency of breast self-examination (monthly, every three months, longer than three months, and never) [ 29 ]. Ordinal and nominal variables were defined as dummy variables in order to observe the effects of all categories that will be included in the binary logistic regression model [ 30 ].…”

Effects of modular nursing model for typical issues on enteral nutrition status, immune function, and quality of life in colon cancer patients

“…The modular nursing model for typical issues, as a way to decompose complex systems into more convenient nursing methods, has been widely valued in clinical nursing work [ 10 , 11 ]. This model is primarily focused on the issues that arise in the nursing process in order to maximize the distribution of medical resources and encourage the enhancement of nursing quality.…”