A Population Description of Young Women with Breast Cancer in Newfoundland and Labrador

A novel technology for harmonizing and analyzing cancer data. Observations from integrating health connect in Newfoundland and Labrador, Canada

Objective: This article aims to describe the implementation of a new health information technology system called Health Connect that is harmonizing cancer data in the Canadian province of Newfoundland and Labrador; explain high-level technical details of this technology; provide concrete examples of how this technology is helping to improve cancer care in the province, and to discuss its future expansion and implications. Methods: We give a technical description of the Health Connect architecture, how it integrated numerous data sources into a single, scalable health information system for cancer data and highlight its artificial intelligence and analytics capacity. Results: We illustrated two practical achievements of Health Connect. First, an analytical dashboard that was used to pinpoint variations in colon cancer screening uptake in small defined geographic regions of the province; and second, a natural language processing algorithm that provided AI-assisted decision support in interpreting appropriate follow-up action based on assessments of breast mammography reports. Conclusion: Health Connect is a cutting-edge, health systems solution for harmonizing cancer screening data for practical decision-making. The long term goal is to integrate all cancer care data holdings into Health Connect to build a comprehensive health information system for cancer care in the province.

Personalised graded psychological intervention on negative emotion and quality of life in patients with breast cancer

BACKGROUND

Psychological factors are a risk factor for the incidence of breast cancer and have a significant impact on patient prognosis.

OBJECTIVE

The present study aims to investigate the effects of personalised graded psychological intervention on negative emotion and quality of life in patients with breast cancer.

METHODS

A total of 200 patients with breast cancer were randomly divided into two groups: an experimental group (n= 100) and control group (n= 100). Both groups received routine nursing care. The experimental group received personalised graded psychological intervention care, and the control group received routine nursing measures. After 2 months of standard treatment, the patients' quality of life and negative emotions were evaluated using the self-rating depression scale (SDS), self-rating anxiety scale (SAS), social support rating scale (SSRS) and quality of life measurement scale (FACT-B) scoring criteria.

RESULTS

There were no significant differences in the general data between the two groups (p> 0.05). Furthermore, there were no significant differences in the SDS, SAS, SSRS and FACT-B scores between the two groups before personalised graded psychological intervention (p> 0.05). After the intervention, the experimental group exhibited an improved nursing effect compared with the control group. The SDS and SAS scores were lower in the experimental group than in the control group (p< 0.05); after the intervention, the SDS and SAS scores were significantly lower in the experimental group than in the control group (p< 0.05). The SSRS and FACT-B scores were higher in the experimental group than in the control group (p< 0.05), and the experimental group's post-intervention SSRS and FACT-B scores were significantly higher than before the intervention (p< 0.05).

CONCLUSIONS

The use of personalised graded psychological intervention for the nursing of patients with breast cancer in clinical practice can significantly reduce patients' negative emotions as well as improve positive emotions and quality of life; thus, this method can be popularised in the nursing process.