Cancer survivorship has emerged as an important aspect of oncology due to the possibility of physical and psychosocial complications. The purpose of this study was to assess the feasibility of the Ambulatory Medical Assistance for After Cancer (AMA-AC) procedure for monitoring lymphoma survivorship during the first year after chemotherapy. AMA-AC is based on systematic general practitioner (GP) consultations and telephone interventions conducted by a nurse coordinator (NC) affiliated to the oncology unit, while an oncologist acts only on demand. Patients are regularly monitored for physical, psychological and social events, as well as their health-related quality of life (HRQoL). Inclusion criteria were patients newly diagnosed with non-Hodgkin or Hodgkin lymphomas, who had been treated with anthracycline-based chemotherapy and were in complete remission after treatment. All 115 patients and 113 collaborating GPs agreed to participate in the study. For patients who achieved one year of disease-free survival (n = 104) their assessments (438 in total) were fully completed. Eleven were excluded from analysis (9 relapses and 2 deaths). The most frequent complications when taking into account all grades were arthralgia (64.3 %) and infections (41.7 %). About one third of patients developed new diseases with cardiovascular complications as the most common. Psychological disorders such as anxiety, depression and post-traumatic stress disorder were diagnosed in 42.6 % of patients. The data collected showed that Hodgkin lymphoma patients, females, and patients with lower HRQoL (mental component) at study entry were at greater risk for developing at least one psychological disorder. This study showed that AMA-AC is a feasible and efficient procedure for monitoring lymphoma survivorship in terms of GP and patient participation rates and adherence, and provides a high quality of operable data. Hence, the AMA-AC procedure may be transferable into clinical daily practice as an alternative to standard oncologist-based follow-up.

Adherence to therapy has been established for years as a critical parameter for clinical benefit in medical oncology. This study aimed to assess, in the current practice, the influence of the socio-demographical characteristics and the place of treatment on treatment adherence and overall survival among diffuse large B-cell lymphoma patients. We analysed data from 380 patients enrolled in a French multi-centre regional cohort, with diffuse large B-cell lymphoma receiving first-line treatment with R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone) or R-CHOP-like regimens. Direct examination of administrative and medical records yielded the date of death. We studied the influence of patients’ socio-demographic characteristics and place of treatment on the treatment adherence and overall survival, adjusted for baseline clinical characteristics. Treatment adherence was measured by the ratio between received and planned dose Intensity (DI), called relative DI (RDI) categorized in “lesser than 85%” and “at least 85%”. During the follow-up, among the final sample 70 patients had RDI lesser than 85% and 94 deceased. Multivariate models showed that advanced age, poor international prognosis index (IPI) and treatment with R-CHOP 14 favoured RDI lesser than 85%. The treatment in a public academic centre favoured RDI greater than or equal to 85%. Poor adherence to treatment was strongly associated with poor overall survival whereas being treated in private centres was linked to better overall survival, after adjusting for confounders. No socioeconomic gradient was found on both adherence to treatment and overall survival. These results reinforce adherence to treatment as a critical parameter for clinical benefit among diffuse large B-cell lymphoma patients under R-CHOP. The place of treatment, but not the socioeconomic status of these patients, impacted both RDI and overall survival

Generic medicines are essential to controlling health expenditures. Their market share is still small in France. The discourse and practices of prescribers may play a major role in their use. The purpose of this study was to explore the knowledge, attitudes and practices of general practitioners (GPs) toward generic medicines in two French regions with the lowest penetration rate of these products. An observational study was carried out from October 2015 to February 2016 in Guadeloupe and Martinique. The first qualitative phase involved a diversified sample of 14 GPs who underwent semi-structured interviews. The second phase involved a random sample of 316 GPs (response rate = 74%) who were administered a structured questionnaire developed from the results of the first phase. Seventy-eight percent of the participants defined a generic drug as a drug containing an active substance identical to a brand-name drug, but only 11% considered generic drugs to be equivalent to brand-name drugs, and the same proportion believed that the generic drugs were of doubtful quality. The primary recognized advantage of generic medicines was their lower cost (82%). The main drawbacks cited were the variability of their presentation (44%), the confusion that they caused for some patients (47%), frequent allegations of adverse side effects (37%) and a lack of efficacy (24%), and frequent refusal by patients (26%). Seventy-four percent of the participants stated that they adapted their prescribing practices to the situation, and of this group, 47% prescribed the originator product simply on demand. Most surveyed GPs were not hostile towards generic medicines. They were caught between the requirements of health insurance regimes and the opposition of numerous users and suggested that the patient information provided by health authorities should be improved and that drug composition and packaging should be made uniform.

When studying the influence of socioeconomic position (SEP) on health from data where individual-level SEP measures may be missing, ecological measures of SEP may prove helpful. In this paper, we illustrate the best use of ecological-level measures of SEP to deal with incomplete individual level data. To do this we have taken the example of a study examining the relationship between SEP and breast cancer (BC) stage at diagnosis. Using population based-registry data, all women over 18 years newly diagnosed with a primary BC in 2007 were included. We compared the association between advanced stage at diagnosis and individual SEP containing missing data with an ecological level SEP measure without missing data. We used three modelling strategies, 1/ based on patients with complete data for individual-SEP (n = 1218), or 2/ on all patients (n = 1644) using an ecological-level SEP as proxy for individual SEP and 3/ individual-SEP after imputation of missing data using an ecological-level SEP. The results obtained from these models demonstrate that selection bias was introduced in the sample where only patients with complete individual SEP were included. This bias is redressed by using ecological-level SEP to impute missing data for individual SEP on all patients. Such a strategy helps to avoid an ecological bias due to the use of aggregated data to infer to individual level. When individual data are incomplete, we demonstrate the usefulness of an ecological index to assess and redress potential selection bias by using it to impute missing individual SEP.

This research investigates the influence of place of residence and diabetic patient’s socioeconomic position on their use of health services in a universal health care system. This retrospective cross-sectional population-based study is based on the joint use of the Health Insurance information systems, an ecological indicator of social deprivation and an indicator of potential spatial accessibility of healthcare provision in the Midi-Pyrénées region. Using French healthcare insurance population-based data on reimbursement of out-of-hospital care during the year 2012, we study the use of health services among patients aged 50 and over (n = 90,136).We built logistic regression models linking health services use to socioeconomic position by geographic area, adjusted for age, gender, healthcare provision, information regarding patients precariousness, and long-term condition, used as proxy for the state of health. After adjustment for healthcare provision, the lower population density in the geographical area of concern, the lower the access to specialised care, independent of the patients’ SEP. General practitioner attendance was higher among the patients with the lowest SEP without being clearly influenced by their living place. We found no clear influence of either patients’ SEP or their living place on their access to biological follow-up. This study is an attempt to account for the geographical context and to go further in studying the social determinants of health among diabetes patients.