[Citizens who volunteer as participants for cancer research-results of the Seintinelles Barometer 2018]

Measuring reconceptualization and reprioritization during France's first COVID-19-related lockdown in women with and without a history of cancer: an adaptation of the SeiQol-DW and PGI

PURPOSE

This study aimed to provide a better understanding of the patient-perceived effects of France's first COVID-19-related lockdown on the quality of life (QoL) of women affected by cancer, and to test an ad hoc measurement scale for evaluating quasi-individualized QoL. QoL was measured for both during (i.e., current) and before (i.e., retrospectively) the lockdown. Respondents were women registered on the research platform Seintinelles.

METHODS

A tool for measuring quasi-individualized QoL was adapted from the SeiQol-DW and PGI. It was distributed as part of a larger online self-questionnaire to a sample of 1303 women with a history of cancer (i.e., former or current) and with no such history.

RESULTS

Current and retrospective QoL scores were not significantly different between the two respondent groups. An analysis of reconceptualization and reprioritization revealed a cancer-specific effect: women with a history of cancer reconceptualized more, while women with no such history reprioritized more.

CONCLUSION

Our novel ad hoc quasi-qualitative tool made it possible to assess the QoL of women with a history of cancer, a particularly vulnerable population in the context of the COVID-19 pandemic. Furthermore, it highlighted a difference in reconceptualization and reprioritization between this population and women with no such history.

Compliance with public health recommendations of cancer-free female research volunteers: the French Seintinelles study

PURPOSE

Acting on modifiable risk factors can prevent approximately 40% of cancers. Knowing the factors that lead people to adopt healthy behaviors is crucial for designing effective primary prevention campaigns. Our study attempts to provide knowledge in this direction.

METHODS

This cross-sectional study was conducted via the Seintinelles collaborative research platform in a community of women without a personal cancer history, and volunteering to take online questionnaires. We collected data on sociodemographic and health factors, knowledge of cancer risk factors, behaviors, and possible behavior changes (tobacco/alcohol use, diet, body weight, and physical activity) in the last 10 years.

RESULTS

The study involved 1465 women aged between 18 and 84 years. Factors such as young age, living alone, and obesity were associated with some positive or negative behavior changes. Being professionally active and having comorbidities favored certain positive behavior changes, while having dependent children, living in a rural area, and being hospitalized were associated with negative or no change in behaviors. Lack of knowledge about modifiable risk factors for cancer was associated with the non-adoption of various healthy behaviors (consumptions of fruit and vegetables, processed and red meat; physical activity). Only 5.5% of participants currently reported to be compliant with seven public health recommendations (smoking; alcohol, fruit/vegetables, and red/processed meat intakes; body mass index; and physical activity).

CONCLUSIONS

This study allowed to identify the need to increase the level of knowledge on modifiable risk factors for cancer among the general population and to better clarify the content of prevention messages.

Quality of life among French breast cancer survivors in comparison with cancer-free women: the Seintinelles study

BACKGROUND

Health-Related Quality of life (HRQoL) in cancer survivors can be significantly affected in the long-term by various consequences resulting from differing levels of severity of cancer and its treatments. Our objective was to identify factors associated with HRQoL in breast cancer survivors (BCSs) and cancer-free women (CFWs).

METHODS

We conducted a cross-sectional study in Seintinelles volunteers who answered online questionnaires between September 15, 2020 and February 5, 2021. HRQoL was measured using the World Health Organization Quality of Life-BREF questionnaire. We collected data on sociodemographic and health-related factors, lifestyle habits, coping mechanisms, locus of control, and health literacy. SAS version 9.4 statistical software was used for analyses. We performed descriptive analyses of the characteristics of the participants in each group and compared these characteristics between the two groups using the Chi2 test or the Student t-test. The adjusted means of the scores of different psychometric scales were calculated and compared using the method of least squares to fit general linear models (GLM) while adjusting for various factors. Multiple linear or multiple logistic regression models were used to assess the factors associated with WHOQOL-BREF scores, separately, in the two groups of participants.

RESULTS

The study involved 722 BCSs and 1359 CFWs aged 26-75 years. BCSs had significantly lower physical health scores and were less likely to be satisfied with their health compared to CFWs (59.5 vs. 63.2, p < 0.0001; and 56.5% vs. 75.2%, p = 0.002, respectively). In both groups, some common factors were positively associated with physical health (high financial level, being professionally active, normal BMI, good health status, alcohol consumption, higher values (> 22) of internal locus of control); or inversely associated (neurological and sleep problems, over two medical consultations/year). In BCSs, treatment by mastectomy or radiation therapy/brachytherapy, a short-time since diagnosis, current cancer therapy, and presence of sequalae were inversely associated with physical health. BCSs' health satisfaction was diminished with lower values of coping by positive thinking (≤ 14) and seeking social support (≤ 18).

CONCLUSIONS

HRQoL can be improved by developing strategies that increase internal locus of control and coping (positive thinking, problem-solving and seeking social support), and through health literacy.

Health behaviour changes in female cancer survivors: The Seintinelles study

INTRODUCTION

The number of cancer survivors increases and their risks of recurrence, second cancer, morbidity and death is high; measures to prevent these risks are thus critical. Knowing the factors that lead cancer survivor to adopt or not healthy behaviours is crucial for designing effective prevention campaigns and better support them in after-cancer. Our study attempts to provide additional knowledge in this direction.

METHODS

This retrospective study was conducted via the Seintinelles collaborative research platform in a community of women with cancer volunteering to take online questionnaires. We collected data on sociodemographic factors and health, knowledge of cancer risk factors, and possible behaviour changes (tobacco/alcohol use, diet, physical activity) after cancer diagnosis.

RESULTS

The study involved 1180 women aged between 26 and 79 years. Several cancer-related factors (cancer other than breast cancer, longer time since diagnosis, taking drug treatment for cancer, sequelae, negative evolution of the cancer) favoured certain positive changes in behaviour. Sociodemographic factors (age, habitat environment, currently employed, living status, dependent children) or factors related to health (general condition, presence of comorbidities, neurological problems, hospitalizations, body mass index) favoured or not certain changes in behaviour. Lack of knowledge about modifiable risk factors for cancer was associated with not adopting healthy behaviours after cancer.

DISCUSSION

This study made it possible to identify important elements to be addressed in order to improve cancer risk prevention messages.

Analysing breast cancer survivors’ acceptance profiles for using an electronic pillbox connected to a smartphone application using Seintinelles, a French community-based research tool

Introduction: Up to 50% of breast cancer (BC) survivors discontinue their adjuvant endocrine therapy (AET) before the recommended 5 years, raising the issue of medication non-adherence. eHealth technologies have the potential to support patients to enhance their medication adherence and may offer an effective way to complement the healthcare. In order for eHealth technologies to be successfully implemented into the healthcare system, end-users need to be willing and accepting to use these eHealth technologies.

Aim: This study aims to evaluate the current usability of eHealth technologiesin and to identify differences in BC SURVIVORS BC survivors accepting a medication adherence enhancing eHealth technology to support their AET to BC survivors that do not accept such a medication adherence enhancing eHealth technology.

Methods: This study was conducted in 2020 including volunteering BC survivors belonging to the Seintinelles Association. Eligible participants were women, diagnosed with BC within the last 10 years, and been exposed to, an AET. Univariable and multivariable logistic regression analyses were performed to investigate medication adherence enhancing eHealth technology acceptance profiles among BC survivors. The dependent variable was defined as acceptance of an electronic pillbox connected to a smartphone application (hereafter: medication adherence enhancing eHealth technology).

Results: Overall, 23% of the participants already use a connected device or health application on a regular basis. The mean age of the participants was 52.7 (SD 10.4) years. In total, 67% of 1268 BC survivors who participated in the survey declared that they would accept a medication adherence enhancing eHealth technology to improve their AET. BC survivors accepting a medication adherence enhancing eHealth technology for their AET, are younger (OR = 0.97, 95% CI [0.95; 0.98]), do take medication for other diseases (OR = 0.31, 95% CI [0.13; 0.68]), already use a medication adherence enhancing eHealth technology or technique (OR = 1.74, 95% CI [1.06; 2.94]) and are willing to possess or currently possess one or more connected devices or health applications (OR = 2.89, 95% CI [2.01; 4.19]).

Conclusion: Understanding acceptance profiles of BC survivors is fundamental for conceiving an effective eHealth technology enhancing AET among BC survivors. Hence, such profiling will foster the development of personalized medication adherence enhancing eHealth technology.