Patient empowerment in Flemish hospital wards : a cross-sectional study

Objective: Measuring empowerment of patients on Flemish hospital wards by the short form of the Patient Activation Measure (PAM-13) and exploring the association between patient empowerment and patient-centred care, health literacy, patient- and context-related characteristics. Methods: Secondary analysis of data collected in nine regional hospitals and one university hospital in Flanders between February and June 2016. Patients needed to be admitted for a least 1 day, aged 18 years or over, and mentally competent with adequate ability to speak and read the Dutch language. Independent t-tests, one-way ANOVA and multivariable regression analysis were performed. Results: Mean empowerment was 58. Of the 670 patients, 22.7% tended to be unprepared to play an active role in their health care, 22.2% were struggling to manage own health, 39.4% reported to take action to maintain and improve own health, and 15.7% reported having confidence to perform adequate behaviours in most circumstances. Multivariable analysis showed that patients living together with family, a partner or a friend (p = 0.018), with higher health literacy (p < 0.001), and with higher perceptions of individuality in patients' care (p < 0.001) had higher empowerment scores. Conclusion: The multivariable analysis found three variables associated with patient empowerment and provided empirical evidence for the interrelatedness between patient-centred care and patient empowerment. Future research should use a clear framework to make sure that all relevant determinants of patient empowerment are included. Interventions to improve patient empowerment should incorporate patient characteristics and elements of both health literacy and patient-centred care

The influence of nurses' demographics on patient participation in hospitals : a cross-sectional study

Background: Patient participation is an important issue in contemporary healthcare as it improves quality of care and enhances positive health outcomes. The participation of patients is mainly initiated by the nurses' willingness to share their power and responsibility, but knowledge on nurses' demographic characteristics influencing this behavior is nonexistent. This knowledge is essential to understand and improve patient participation. Aim: To determine if nurses' demographic characteristics influence their willingness to engage in patient participation. Methods: A cross-sectional multicenter study in 22 general and three university hospitals with 997 nurses was performed. The Patient Participation Culture Tool for healthcare workers, which measures patient participation behavior, was used. Multilevel analysis, taking into account the difference in wards and hospitals, was used to identify the influence of demographic characteristics. Results: A position as supervisor (range: p < .001-.028) and a higher level of education (range: p = <.001-.012) show significant higher scores. Younger nurses seem to be more reluctant in accepting a collaborative patient role (p = .002) and coping with more active patient behavior (p < .001). This new role was less accepted by nurses on geriatric wards (p = .013), who also showed less sharing of information with their patients (p < .001). Linking Evidence to Action: Age and level of education influence nurses' willingness to share power and responsibility with their patients, perhaps indicating that patient participation behavior is an advanced nursing skill and multifaceted interventions, are needed for optimal implementation. Moreover, supervising nurses have different perceptions on patient participation and possibly regard patient participation as an easier task than their team members. This could lead to misunderstandings about the expectations toward patient participation in daily practice, leading to struggles with their nursing staff. Both findings implicate that implementing patient participation on a wide scale is more difficult than expected, which is conflicting with the widespread societal demand for more participation

Is privacy a problem during bedside handovers? : a practice-oriented discussion paper

Bedside handover is the delivery of the nurse-to-nurse handover at the patient's bedside. Although increasingly used in nursing, nurses report many barriers for delivering the bedside handover. Among these barriers is the possibility of breaching the patient's privacy. By referring to this concept, nurses add a legal and ethical dimension to the delivery of the bedside handover, making implementation of the method difficult or even impossible. In this discussion article, the concept of privacy during handovers is being discussed by use of observations, interviews with nurses, and interviews with patients. These findings are combined with international literature from a narrative review on the topic. We provide a practice-oriented answer in which two mutually exclusive possibilities are discussed. If bedside handover does pose problems concerning privacy, this situation is not unique in healthcare and measures can be taken during the bedside handover to safeguard the patient. If bedside handover does not pose problems concerning privacy, privacy is misused by nurses to hide professional uncertainties and/or a reluctance toward patient participation. Therefore, a possible breach of privacy-whether a justified argument or not-is not a reason for not delivering the bedside handover

Reporting of 'dialysis adequacy' as an outcome in randomised trials conducted in adults on haemodialysis

Background : Clinical trials are most informative for evidence-based decision-making when they consistently measure and report outcomes of relevance to stakeholders, especially patients, clinicians, and policy makers. However, sometimes terminology used is interpreted differently by different stakeholders, which might lead to confusion during shared decision making. The construct dialysis adequacy is frequently used, suggesting it is an important outcome both for health care professionals as for patients. Objective : To assess the scope and consistency of the construct dialysis adequacy as reported in ran-domised controlled trials in hemodialysis, and evaluate whether these align to the insights and understanding of this construct by patients. Methods : To assess scope and consistency of dialysis adequacy by professionals, we performed a systematic review searching the Cochrane Central Register of Controlled Trials (CENTRAL) up to July 2017. We identified all randomised controlled trails (RCT) including patients on hemodialysis and reporting dialysis adequacy, adequacy or adequacy of dialysis and extracted and classified all reported outcomes. To explore interpretation and meaning of the construct of adequacy by patients, we conducted 11 semi-structured interviews with HD patients using thematic analysis. Belgian registration number B670201731001. Findings : From the 31 included trials, we extracted and classified 98 outcome measures defined by the authors as adequacy of dialysis, of which 94 (95%) were biochemical, 3 (3%) non-biochemical surrogate and 2 (2%) patient-relevant. The three most commonly reported measures were all biochemical. None of the studies defined adequacy of dialysis as a patient relevant outcome such as survival or quality of life. Patients had a substantially different understanding of the construct dialysis adequacy than the biochemical interpretation reported in the literature. Being alive, time spent while being on dialysis, fatigue and friendliness of staff were the most prominent themes that patients linked to the construct of dialysis adequacy. Conclusion : Adequacy of dialysis as reported in the literature refers to biochemical outcome measures, most of which are not related with patient relevant outcomes. For patients, adequate dialysis is a dialysis that enables them to spend as much quality time in their life as possible

Prediction of hospital bed capacity during the COVID-19 pandemic

Background: Prediction of the necessary capacity of beds by ward type (e.g. ICU) is essential for planning purposes during epidemics, such as the COVID− 19 pandemic. The COVID− 19 taskforce within the Ghent University hospital made use of ten-day forecasts on the required number of beds for COVID− 19 patients across different wards. Methods: The planning tool combined a Poisson model for the number of newly admitted patients on each day with a multistate model for the transitions of admitted patients to the different wards, discharge or death. These models were used to simulate the required capacity of beds by ward type over the next 10 days, along with worst-case and best-case bounds. Results: Overall, the models resulted in good predictions of the required number of beds across different hospital wards. Short-term predictions were especially accurate as these are less sensitive to sudden changes in number of beds on a given ward (e.g. due to referrals). Code snippets and details on the set-up are provided to guide the reader to apply the planning tool on one’s own hospital data. Conclusions: We were able to achieve a fast setup of a planning tool useful within the COVID− 19 pandemic, with a fair prediction on the needed capacity by ward type. This methodology can also be applied for other epidemics