Conectar
The healthcare landscape in South Africa is challenging with a complex patient population and a stressed healthcare system. Negative pressure therapy-based systems such as negative pressure wound therapy with instillation and dwell (NPWTi-d) and closed incision negative pressure therapy (ciNPT) can help manage wounds or incisions. However, guidelines for South Africa-specific use are limited. An in-person meeting was held with 10 experts to develop South Africa-specific therapy use recommendations for NPWTi-d and ciNPT. Panel members recommended NPWTi-d use for wounds in need of cleansing. Normal saline and a 10-min dwell time were recommended with the caveat that the instillation solutions and dwell times can be changed based on the wound bed condition and the features of the instillation solution. A negative pressure cycle of 2–3 h and a negative pressure of −125 mmHg were also recommended for NPWTi-d. In patients, incisions, and surgical procedures at high risk of developing surgical site complications, ciNPT use was recommended. These general recommendations serve as a framework for NPWTi-d and/or ciNPT use in South Africa and should be updated as more region-specific evidence becomes available.
We aimed to explore the patient-related and organisational characteristics associated with late cancellations and non-attendance in diabetes outpatient care and present our findings organised as a risk matrix based on these characteristics.
A cross-sectional study.
Our study was conducted at an endocrinology outpatient clinic based on data extracted between January and December 2019 from electronic medical records.
Adult patients with type 1 diabetes with late cancellations or non-attendance. We compared our sample with national data for comparison and to assess representativeness.
Main outcome was late cancellations or non-attendance, while secondary outcomes included type of cancellations and reason for cancellation.
In total, 541 patients had late cancellations or non-attendance across 5040 diabetes consultations. These patients had a mean age of 43 years, 57.9% were men and half (n=301, 55%) were employed. The mean diabetes duration was 18 years, and the mean HbA1c level was elevated at 72 mmol/L. The outpatient clinic had a higher number of consultations, but the patient characteristics were comparable to the national average. Half of the patients (n=258, 52.3%) had late cancellations ahead of their consultations. Most cancellations occurred during the winter, mainly due to illness being the most frequent reason. Unemployed men with poorly regulated diabetes were more likely not to attend compared with employed females.
Characteristics such as being male, unemployed and having elevated HbA1c levels were significantly associated with non-attendance. Our findings contribute to understanding the reasons for at-risk patients missing consultations.
To systematically review the evidence on the association between non-standard working time arrangements (such as night work or shift work) and the occurrence of safety incidents.
Systematic review conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and using a structured narrative approach and the Synthesis Without Meta-analysis framework to evaluate and summarise findings.
MEDLINE, Embase, PsycINFO, Web of Science and ProQuest Health and Safety Science Abstracts were searched through February 2024.
We included peer-reviewed English-language studies of paid workers (18–70 years) that examined the association between non-standard working time arrangements and safety incidents (accidents, near-accidents, safety incidents or injuries), excluding cross-sectional designs and studies on unpaid workers, athletes or military personnel.
Two reviewers independently extracted data and assessed risk of bias using standardised forms, extracting study characteristics (author, year, country, sector and population), working time arrangements and exposure assessment, outcomes and their assessment, and reported risk estimates. We conducted a narrative synthesis, classifying studies into three exposure contrasts (shift worker versus non-shift worker, time-of-day and shift intensity), and summarised risk estimates using forest plots without calculating pooled effects.
A total of 13 569 records were screened, and 24 studies met the inclusion criteria. The results indicated that shift workers generally had an elevated safety incident risk compared with non-shift workers (risk estimates ranged from 1.11 to 5.33). Most of the included studies found an increased risk of safety incidents during or after night shifts. Accumulated exposure to evening or night shifts increased the risk of safety incidents during the following 7 days. However, bias and heterogeneity across studies in design, populations and outcome measures resulted in an overall low to very low certainty of the evidence.
Non-standard working time arrangements, including night and evening shifts, appear to increase the risk of occupational safety incidents. Despite the low certainty of evidence, the findings highlight a potential area for preventive measures in work scheduling. Future longitudinal studies using individual data on daily working hours are needed.
Delirium is a common disorder for patients after cardiac surgery. Its manifestation and care can be examined through EHRs. The aim of this retrospective, comparative, and descriptive patient record study was to describe the documentation of delirium symptoms in the EHRs of patients who have undergone cardiac surgery and to explore how the documentation evolved between two periods (2005-2009 and 2015-2020). Randomly selected care episodes were annotated with a template, including delirium symptoms, treatment methods, and adverse events. The patients were then manually classified into two groups: nondelirious (n = 257) and possibly delirious (n = 172). The data were analyzed quantitatively and descriptively. According to the data, the documentation of symptoms such as disorientation, memory problems, motoric behavior, and disorganized thinking improved between periods. Yet, the key symptoms of delirium, inattention, and awareness were seldom documented. The professionals did not systematically document the possibility of delirium. Particularly, the way nurses recorded structural information did not facilitate an overall understanding of a patient's condition with respect to delirium. Information about delirium or proposed care was seldom documented in the discharge summaries. Advanced machine learning techniques can augment instruments that facilitate early detection, care planning, and transferring information to follow-up care. 
FreshRSS 