This study aimed to describe post-discharge medication self-management by geriatric patients with polypharmacy, to describe the problems encountered and to determine the related factors. In a multicenter study from November 2019 to March 2020, data were collected at hospital discharge and two to five days post-discharge. Geriatric patients with polypharmacy were questioned about medication management using a combination of validated (MedMaIDE) and self-developed questionnaires. Of 400 participants, 70% did self-manage medication post-discharge. Patients had a mean of four different deficiencies in post-discharge medication management (SD 2.17, range 0–10). Knowledge-related deficiencies were most common. The number of medicines and the in-hospital provision of medication management by nurses were significant predictors of post-discharge medication management deficiencies. In addition to deficiencies in knowledge, medication-taking ability and obtaining medication, non-adherence and disrupted continuity of medication self-management were common in geriatric patients with polypharmacy post-discharge. Improvements in in-hospital preparation could avoid medication self-management problems at home.

Aim: To provide an overview of responsibilities and tasks of nurses in pharmaceutical care.Design: Scoping review.Methods: Two databases were systematically searched (MEDLINE and Scopus) for recent original research papers concerning nurses’ responsibilities and tasks in pharmaceutical care. The definition of responsibility was based on literature, moral and ethical discussions. Existing responsibilities and tasks beyond preparation and administration of medication were collected and synthesized. This main study outcome was extracted from titles and abstracts only. Results were reported in accordance with PRISMA‐ScR guidelines.Results: Of the 3,805 titles and abstracts reviewed, 453 abstracts were included. A total of seven responsibilities were identified: (a) management of therapeutic and adverse effects of medication, (b) management of medication adherence, (c) management of patient medication self‐management, (d) management of patient education and information about medication, (e) prescription management, (f) medication safety management and (g) (transition of) care coordination. Within these responsibilities, all tasks performed by nurses were described.

The epidemiology of non-alcoholic fatty liver disease (NAFLD) in people with type 1 diabetes (T1D) is not yet elucidated. This study aimed to assess the diagnostic accuracy of non-invasive tests for NAFLD, to investigate the prevalence and severity of NAFLD, and to search for factors contributing to NAFLD in people with T1D. In this prospective cohort study, we consecutively screened 530 adults with T1D from a tertiary care hospital, using ultrasound (US), vibration-controlled transient elastography equipped with liver stiffness measurement (LSM) and controlled attenuation parameter, and the fatty liver index. Magnetic resonance spectroscopy (MRS) was performed in a representative subgroup of 132 individuals to validate the diagnostic accuracy of the non-invasive tests. Based on MRS as reference standard, US identified individuals with NAFLD with an AUROC of 0.98 (95% CI 0.95–1.00, sensitivity: 1.00, specificity: 0.96). The controlled attenuation parameter was also accurate with an AUROC of 0.85 (95% CI 0.77–0.93). Youden cut-off was ≥270 dB/m (sensitivity: 0.90, specificity: 0.74). The fatty liver index yielded a similar AUROC of 0.83 (95% CI 0.74–0.91), but the conventional cut-off used to rule in (≥60) had low sensitivity and specificity (0.62, 0.78). The prevalence of NAFLD in the overall cohort was 16.2% based on US. Metabolic syndrome was associated with NAFLD (OR: 2.35 [1.08–5.12], p = 0.031). The overall prevalence of LSM ≥8.0 kPa indicating significant fibrosis was 3.8%, but reached 13.2% in people with NAFLD. NAFLD prevalence in individuals with T1D is 16.2%, with approximately one in 10 featuring elevated LSM. US-based screening could be considered in people with T1D and metabolic syndrome. We aimed to report on the prevalence, disease severity, and risk factors of NAFLD in type 1 diabetes (T1D), while also tackling which non-invasive test for NAFLD is the most accurate. We found that ultrasound is the best test to diagnose NAFLD. NAFLD prevalence is 16.2%, and is associated with metabolic syndrome and BMI. Elevated liver stiffness indicating fibrosis is overall not prevalent in people with T1D (3.8%), but it reaches 13.2% in those with T1D and NAFLD.

People-centered care (PCC) strategies are believed to improve overall health outcomes. Medicines use is essential for the treatment of many patients with chronic conditions. Non-adherence rates are high and result in poor health outcomes, and increased healthcare utilization and costs. This study aimed to explore the relationship between PCC and adherence to medicines for persons with chronic medicines use, as well as the extent to which patients' beliefs about medicines are influenced by their level of perceived PCC. A cross-sectional survey design was performed with adults using at least 3 chronic medicines per day. To measure the degree of medicines adherence, patients' ideas about medication, and PCC, four validated questionnaires were used: The Medication Adherence Report Scale (MARS-5), Beliefs about medicines questionnaire (BMQ), Client-Centered Care Questionnaire (CCCQ) and the Shared Decision Making Questionnaire (SDM-Q-9). Socio-demographics, health status, and drug-related burden were questioned as potential factors to impact the relationship between PCC and adherence. A sample of 459 persons participated. The mean score on the CCCQ (adjusted to pharmacotherapy) was 52.7 on 75 (sd = 8.83, range [18–70]). The top 20% scored 60 or more, the 20% lowest scores were 46 or less. Adherence levels were high, with a mean score of 22.6 on 25 on the MARS-5, and 88% scoring 20 or more. An increase in PCC corresponded to a higher chance of medicines adherence (OR 1.07, 95%CI [1.02–1.12]), corrected for age, the burden due to chronic diseases, the impact of side effects on daily life, and participants' beliefs about medicines. PCC showed positive correlations with the necessity of medicines use (r = 0.1, p = 0.016) and the balance between necessity and concerns (r = 0.3, p < 0.001); and negative correlations with levels of concerns (r = −0.3, p < 0.001) and scores on harmfulness (r = −0.3, p < 0.001) and overuse of medicines (r = −0.4, p < 0.001). Patients with chronic medicine use perceived an average high level of people-centeredness in the pharmaceutical care they received. This PCC was weakly positively associated with adherence to their medicines. The higher PCC was evaluated, the more patients believed in the necessity of the medicines use and the better the balance between necessity and concerns. The people-centeredness of pharmaceutical care showed several shortcomings and can still be improved. As such, healthcare providers are advised to actively engage in PCC, and not to wait passively for information provided by the patient.