Iowa Influenza Surveillance Network: Weekly Activity Report, September, 2016

The Iowa Influenza Surveillance Network (IISN) was established in 2004, though surveillance has been conducted at the Iowa Department of Public Health. Schools and long-term care facilities report data weekly into a Web-based reporting system. Schools report the number of students absent due to illness and the total enrolled. Long-term care facilities report cases of influenza and vaccination status of each case. Both passively report outbreaks of illness, including influenza, to IDPH.

A longitudinal qualitative exploration of healthcare and informal support needs among survivors of critical illness: the RELINQUISH protocol.

Introduction and background: Survival following critical illness is associated with a significant burden of physical, emotional and psychosocial morbidity. Recovery can be protracted and incomplete, with important and sustained effects upon everyday life, including family life, social participation and return to work. In stark contrast with other critically ill patient groups (eg, those following cardiothoracic surgery), there are comparatively few interventional studies of rehabilitation among the general intensive care unit patient population. This paper outlines the protocol for a sub study of the RECOVER study: a randomised controlled trial evaluating a complex intervention of enhanced ward-based rehabilitation for patients following discharge from intensive care. Methods and analysis: The RELINQUISH study is a nested longitudinal, qualitative study of family support and perceived healthcare needs among RECOVER participants at key stages of the recovery process and at up to 1 year following hospital discharge. Its central premise is that recovery is a dynamic process wherein patients’ needs evolve over time. RELINQUISH is novel in that we will incorporate two parallel strategies into our data analysis: (1) a pragmatic health services-oriented approach, using an a priori analytical construct, the ‘Timing it Right’ framework and (2) a constructivist grounded theory approach which allows the emergence of new themes and theoretical understandings from the data. We will subsequently use Qualitative Health Needs Assessment methodology to inform the development of timely and responsive healthcare interventions throughout the recovery process. Ethics and dissemination: The protocol has been approved by the Lothian Research Ethics Committee (protocol number HSRU011). The study has been added to the UK Clinical Research Network Database (study ID. 9986). The authors will disseminate the findings in peer reviewed publications and to relevant critical care stakeholder groups.

Chronic low back pain among French healthcare workers and prognostic factors of return to work (RTW): a non-randomized controlled trial

International audience

A national referral of an integrated network of continuing care a study case

This study aims to characterize the National Long-Term Care Network (NL-TCN) users. The Portuguese National Health Service, was restructured in 2006 with the creation of the National Long-Term Care Network to respond to new health and social needs concerning the continuity of care. Objectives- Analyse the sociodemographic profile of the network users and the review of hospital, local and regional management procedures. Methods-we used various methods of observational or experimental nature (data processing and presentation of results with the program Statistical Package for Social Sciences, version 20, descriptive statistics (frequencies, crosstabs and test chi-square)). The Pearson correlation test showed a positive correlation between time procedures at the local and regional management and hospital’s length of stay. Results- from a sample of 805 cases, 595 (74%) were admitted in the NL-TCN, a rate lower than the national average (86%). Almost half of the sample was admitted in Rehabilitation Units (46%), while nationally the highest number of admissions was in Home Care Teams (30%). The average time from hospital referral to network admission was 9.73 days with a positive correlation between referred network management procedures and hospital length of stay. Conclusions- For specialized units, the maximum waiting times were for the Long-Term and Support Units (mean 30.27 days) and the minimum waiting times were for Home Care Teams (mean 5.57 days). The average time between the local and regional management was 3.59 days. Almost 90% of referrals were orthopaedics, internal medicine and neurology and Network users were mostly elderly (average 75 years old), female and married. Most users were admitted to inpatient units (78%) and only 15% remained in their home town.

Satisfaction with the healthcare provided of women who had undergone a mastectomy

Abstract Introduction: Breast cancer is the most common form of cancer among women worldwide and, therefore, deserves the highest attention and assistance from medical services. Considering patients’ satisfaction as an indication of healthcare quality, women who have undergone a mastectomy will assess the medical care received. This assessment will be based on what is expected from that medical care and on the expected improvement of her health condition. . Objective: To determine the level of satisfaction of women who have undergone a mastectomy with the medical care provided by nurses, doctors and by the way hospital services are organized. Design: A descriptive and cross-sectional study, developed in Portugal. Participants: A non-probabilistic sample formed by 153 women who underwent a mastectomy with an average age of 55, married (67.3%), unemployed (56.2%), living in a rural area (71.2%) and living on minimum wage (54.9%). Measurement instrument: European Organization for Research and Treatment of Cancer (EORTC) IN-PATSAT32 questionnaire. Results: 113 (73.85%) of the 153 women are satisied with the medical care provided and 40 (26.14%) of them show their lack of satisfaction. A highly signiicant percentage of women (49.01%) feel fairly satisied with the medical care provided by nurses and with the way services are organized (37.9). On the other hand (37.9%) show their dissatisfaction towards doctors. The family network proved to be a predictor of the satisfaction with doctors (β = 0.163; P = .044) and the period of hospitalization predicts the satisfaction with the organization (β = 0.171; P = .011). Both predictors will be useful to explain the 3% variability in patients’ satisfaction. Conclusions: Monitoring the satisfaction with the medical care received is a fundamental strategy to promote the well-being of women who underwent a mastectomy.