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Chronic wounds present significant challenges for patients and nursing care teams worldwide. Digital health tools offer potential for more standardised and efficient nursing care pathways but require further rigorous evaluation.
This retrospective matched cohort study aimed to compare the impacts of a digital tracking application for wound documentation versus traditional manual nursing assessments.
Data from 5236 patients with various wound types were analysed. Propensity score matching balanced groups, and bivariate tests, correlation analyses, linear regression, and Hayes' Process Macro Model 15 were utilised for a mediation-moderation model.
Digital wound tracking was associated with significantly shorter healing durations (15 vs. 35 days) and fewer clinic nursing visits (3 vs. 5.8 visits) compared to standard nursing monitoring. Digital tracking demonstrated improved wound size reduction over time. Laboratory values tested did not consistently predict healing outcomes. Digital tracking exhibited moderate negative correlations with the total number of nursing visits. Regression analysis identified wound complexity, hospitalizations, and initial wound size as clinical predictors for more nursing visits in patients with diabetes mellitus (p < .01). Digital tracking significantly reduced the number of associated nursing visits for patients with peripheral vascular disease.
These findings suggest that digital wound management may streamline nursing care and provide advantages, particularly for comorbid populations facing treatment burdens.
This study adhered to STROBE guidelines in reporting this observational research.
By streamlining documentation and potentially shortening healing times, digital wound tracking could help optimise nursing resources, enhance wound care standards, and improve patient experiences. This supports further exploration of digital health innovations to advance evidence-based nursing practice.
This study involved retrospective analysis of existing patient records and did not directly include patients or the public in the design, conduct, or reporting of the research.
by Kaitlin Nelson, Sonia Shirin, Dharani Kalidasan, Jerilynn C. Prior
Polycystic Ovary Syndrome (PCOS) affects many people and is often distressing. Much medical literature about diagnosis and treatment exists, but little is known about PCOS menstrual cycle-related experiences except that cycles tend to be far-apart and unpredictable. Our purpose was to examine the menstrual cycle and daily life experiences in those with PCOS having approximately month-apart cycles compared with age and BMI-matched cohort controls using data from the Menstruation & Ovulation Study 2 (MOS2) during the first 1.5 years of SARS-CoV-2 pandemic. We hypothesized that those with PCOS would experience lower self-worth and more negative moods. This is a single-cycle prospective case-control study in community-dwelling women ages 19–35 years. Eight reported physician-diagnosed PCOS and were matched (1:3 ratio) with controls by age (within .6 years) and BMI (within .19 BMI units). Experiences were recorded daily (Menstrual Cycle Diary©, Diary). All kept daily morning temperatures to assess luteal phase lengths by the validated Quantitative Basal Temperature© analysis method. From 112 in MOS2, 32 women were compared: eight with PCOS versus 24 controls. Demographic, socioeconomic, comorbidities and lifestyle variables were not different between the two groups. Cycle lengths were similar in PCOS and controls (one PCOS and control each had oligomenorrhea; most lengths were 21–35 days, P = .593). Unexpectedly, luteal phase lengths were also similar between PCOS and controls (P = .167); anovulation occurred in 5 with PCOS, and in 9 controls. There were no significant Diary differences between the two groups except for greater “outside stress” in the PCOS group (P = .020). In contrast to our hypotheses, there were no significant differences in feelings of self-worth, anxiety nor depression. The SARS-CoV-2 pandemic was a stressful time for women. MOS2 captured granular menstrual cycles, ovulation and daily experiences in women with PCOS compared with age- and BMI-matched controls. These pilot data in women with milder PCOS are the first of more research required to understand the daily experiences in those living with PCOS.Glial brain tumours are highly mortal and are noted as major neurosurgical challenges due to frequent recurrence or progression. Despite standard-of-care treatment for gliomas, the prognosis of patients with higher-grade glial tumours is still poor, and hence empowering antitumour immunity against glioma is a potential future oncological prospect. This review is designed to improve our understanding of the efficacy of cell-based immunotherapies for glioma.
This systematic review will be performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A comprehensive search of main electronic databases: PubMed/MEDLINE, Scopus, ISI Web of Science EMBASE and ProQuest will be done on original articles, followed by a manual review of review articles. Only records in English and only clinical trials will be encountered for full-text review. All the appropriate studies that encountered the inclusion criteria will be screened, selected and then will undergo data extraction step by two independent authors. For meta-analyses, data heterogeneity for each parameter will be first evaluated by Cochran’s Q and I2 statistics. In case of possible heterogeneity, a random-effects meta-analysis will be performed and for homogenous data, fixed-effects models will be selected for reporting the results of the proportional meta-analysis. Bias risk will be assessed through Begg’s and Egger’s tests and will also be visualised by Funnel plots.
As this study will be a systematic review without human participants’ involvement, no ethical registration is required and meta-analysis will be presented at a peer-reviewed journal.
CRD42022373297
FreshRSS 