Examining the approaches used to assess decision-making capacity in healthcare practice.

AIM: To examine the approaches that are being used in New Zealand when conducting decision-making capacity (DMC) assessments among the healthcare professionals that commonly conduct DMC assessments and those that are involved in, but do not conduct, the assessments. METHOD: An online quantitative survey was conducted, lasting 10 minutes, including a mix of closed- and open-ended questions. The survey garnered responses from a total of n=78 participants. RESULTS: Bedside cognitive tests were found to be the most commonly reported tool used to assess DMC among those conducting and those contributing to DMC assessments. Nearly a third (31.9%) of participants conducting DMC assessments used a structured clinical interview as one of their most common approaches while 27.5% of this same group reported not being aware of this approach. It was reported by both those conducting and those contributing to DMC assessments that the current standards lack quality and consistency, with partial capacity being poorly understood and identified, and supported decision making often being overlooked for substitute decision making. CONCLUSIONS: Current approaches to DMC assessment lack standardisation and consistency, with assessment approaches being widely varied. This article serves as a call for the development of and adherence to nationally recognised standards for DMC assessments.

Exploring the Support Needs of Chinese Family Carers of People Living with Dementia in New Zealand during the COVID-19 Pandemic: A Resilience Resources Framework Perspective.

Caring for people living with dementia during the novel coronavirus disease 2019 (COVID-19) pandemic significantly impacted the emotional, physical, and social well-being of carers. However, no study has focused on the well-being of Chinese carers of people living with dementia in New Zealand during the pandemic. This study aimed to explore the support needs of Chinese carers of people living with dementia in New Zealand during the COVID-19 pandemic. Semi-structured interviews were conducted by two bilingual and bicultural researchers. Thematic analysis was used to explore the resilience resources for Chinese carers. Twelve Chinese carers were recruited from four community organizations in New Zealand. Four themes were identified: (1) social isolation, (2) emotional loneliness, (3) ambivalent feelings of being a carer, and (4) a variety of unmet needs. The findings of our study provide new insights into the multiple support needs of Chinese carers of people living with dementia during the COVID-19 pandemic. Implications for practice include the establishment of culturally appropriate care support services and the development of tailored resilience-building interventions to address the unmet needs of Chinese carers of people living with dementia.

Effect of Novel and Traditional Intracanal Medicaments on Biofilm Viability and Composition.

INTRODUCTION: The aim of this study was to test the hypothesis that a combination of D-amino acids (DAAs) and trans-cinnamaldehyde (TC) demonstrates superior antibiofilm activity to calcium hydroxide (CH) and untreated controls. METHODS: In this 3-part in vitro study, the concentration of DAAs (D-methionine, D-leucine, D-tyrosine, and D-tryptophan) that would significantly decrease Enterococcus faecalis and Actinomyces naeslundii biofilm biomass was first determined. Then, the effect of TC + selected DAAs on polymicrobial biofilms was characterized by quantifying the biomass and biofilm viability. Finally, the antibiofilm effects of TC + DAA was compared with CH and untreated controls by (i) determining bacterial viability and (ii) quantifying biofilm matrix composition using selective fluorescence-binding analysis. Statistical analysis was performed using one-way ANOVA and appropriate multiple comparisons test, with P < .05 considered as statistically significant. RESULTS: TC (0.06%) + D-tyrosine (1 mM) + D-tryptophan (25 mM) significantly reduced the biomass and biofilm viability compared to the control (P < .05). While no significant difference was observed between TC + DAA and CH in the cultivable bacterial counts (P > .05), confocal microscopy demonstrated a significantly greater percentage of dead bacteria in TC + DAA-treated biofilms compared to CH and the control (P < .05). TC + DAA significantly decreased the biovolume and all the examined components of the biofilm matrix quantity compared to the control, while CH significantly reduced only the exopolysaccharide quantity (P < .05). CONCLUSION: The combination of TC + D-tyrosine + D-tryptophan demonstrated superior antibiofilm activity (biofilm bacterial killing and reduction of matrix quantity) to CH and has potential to be developed as an intracanal medicament.

Identifying Frailty in Older Adults Receiving Home Care Assessment Using Machine Learning: Longitudinal Observational Study on the Role of Classifier, Feature Selection, and Sample Size.

BACKGROUND: Machine learning techniques are starting to be used in various health care data sets to identify frail persons who may benefit from interventions. However, evidence about the performance of machine learning techniques compared to conventional regression is mixed. It is also unclear what methodological and database factors are associated with performance. OBJECTIVE: This study aimed to compare the mortality prediction accuracy of various machine learning classifiers for identifying frail older adults in different scenarios. METHODS: We used deidentified data collected from older adults (65 years of age and older) assessed with interRAI-Home Care instrument in New Zealand between January 1, 2012, and December 31, 2016. A total of 138 interRAI assessment items were used to predict 6-month and 12-month mortality, using 3 machine learning classifiers (random forest [RF], extreme gradient boosting [XGBoost], and multilayer perceptron [MLP]) and regularized logistic regression. We conducted a simulation study comparing the performance of machine learning models with logistic regression and interRAI Home Care Frailty Scale and examined the effects of sample sizes, the number of features, and train-test split ratios. RESULTS: A total of 95,042 older adults (median age 82.66 years, IQR 77.92-88.76; n=37,462, 39.42% male) receiving home care were analyzed. The average area under the curve (AUC) and sensitivities of 6-month mortality prediction showed that machine learning classifiers did not outperform regularized logistic regressions. In terms of AUC, regularized logistic regression had better performance than XGBoost, MLP, and RF when the number of features was ≤80 and the sample size ≤16,000; MLP outperformed regularized logistic regression in terms of sensitivities when the number of features was ≥40 and the sample size ≥4000. Conversely, RF and XGBoost demonstrated higher specificities than regularized logistic regression in all scenarios. CONCLUSIONS: The study revealed that machine learning models exhibited significant variation in prediction performance when evaluated using different metrics. Regularized logistic regression was an effective model for identifying frail older adults receiving home care, as indicated by the AUC, particularly when the number of features and sample sizes were not excessively large. Conversely, MLP displayed superior sensitivity, while RF exhibited superior specificity when the number of features and sample sizes were large.

Epidemiology of Faecal Incontinence for People with Dementia Living in the Community in New Zealand: A Retrospective Cohort Study Using interRAI Home Care Assessment Data.

INTRODUCTION: Globally, there are few studies but wide variation in the epidemiology of faecal incontinence (FI) for people living with dementia in the community. Our objectives are to identify 1-year period prevalence, 5-year incidence, and risks for FI for people living with dementia. METHODS: A retrospective cohort study comprising the International Residential Assessment Instrument Home Care version (interRAI-HC) assessments in a 5-year period in New Zealand (N = 109,964). For prevalence analysis, we selected a dementia cohort for a 1-year period from August 1, 2020, to July 31, 2021 (n = 7,775). For the incidence analysis, participants in the dementia cohort were followed up from the day of the first dementia diagnosis during the period August 1, 2016, and July 31, 2021. Dementia was identified by combining diagnosis of "Alzheimer's disease" and "Dementia other than Alzheimer's disease." Participants were coded with faecal incontinence if they were continent with a stoma, seldom incontinent, occasionally incontinent, often incontinent and incontinent. RESULTS: One year period (1 August 2020-31 July 2021) prevalence of FI was 26.7% (2,082/7,775) of people with dementia. 5-Year incident FI rate was 19.0 per 100 person-years for people with dementia and 12.3 per 100 person-years for people without dementia. Controlling for risk factors for FI in both groups the hazard ratio for FI was 1.7 for people with dementia. CONCLUSION: FI affects a significant proportion of people with dementia in New Zealand. interRAI-HC data could facilitate global epidemiological studies to estimate service or intervention needs for people with dementia to redress or manage FI.

Sorted-Cell Sequencing on HCC Specimens Reveals EPS8L3 as a Key Player in CD24/CD13/EpCAM-Triple Positive, Stemness-Related HCC Cells.

BACKGROUND & AIMS: Hepatocellular carcinoma (HCC) is a heterogeneous cancer with varying levels of liver tumor initiating or cancer stem cells in the tumors. We aimed to investigate the expression of different liver cancer stem cell (LCSC) markers in human HCCs and identify their regulatory mechanisms in stemness-related cells. METHODS: We used an unbiased, single-marker sorting approach by flow cytometry, fluorescence-activated cell sorting, and transcriptomic analyses on HCC patients' resected specimens. Knockdown approach was used, and relevant functional assays were conducted on the identified targets of interest. RESULTS: Flow cytometry on a total of 60 HCC resected specimens showed significant heterogeneity in the expression of LCSC markers, with CD24, CD13, and EpCAM mainly contributing to this heterogeneity. Concomitant expression of CD24, CD13, and EpCAM was detected in 32 HCC samples, and this was associated with advanced tumor stages. Transcriptomic sequencing on the HCC cells sorted for these individual markers identified epidermal growth factor receptor kinase substrate 8-like protein 3 (EPS8L3) as a common gene associated with the 3 markers and was functionally validated in HCC cells. Knocking down EPS8L3 suppressed the expression of all 3 markers. To search for the upstream regulation of EPS8L3, we found SP1 bound to EPS8L3 promoter to drive EPS8L3 expression. Furthermore, using Akt inhibitor MK2206, we showed that Akt signaling-driven SP1 drove the expression of the 3 LCSC markers. CONCLUSIONS: Our findings suggest that Akt signaling-driven SP1 promotes EPS8L3 expression, which is critical in maintaining the downstream expression of CD24, CD13, and EpCAM. The findings provide insight into potential LCSC-targeting therapeutic strategies.

Exploring training, involvement and confidence: a study of healthcare professionals in decision-making capacity assessments.

AIM: To explore the training, involvement and confidence of healthcare professionals involved in decision-making capacity (DMC) assessments, and to compare any differences between those conducting and those involved in, but not conducting DMC assessments. METHOD: A 10-minute anonymous, online survey was conducted with both closed and open questions. A total of 78 participants completed the survey. RESULTS: Training was lacking in quantity and adequacy. Only 14.1% received formal training during and post their qualification and only 38.5% reported the right amount of training. Just over 55% reported having the right amount of involvement, with 18% having too much and 27% having not enough involvement. A significantly higher response was given for having too much involvement by those conducting DMC assessments (p=0.006), while those not conducting felt they do not have enough involvement (p<0.001). Only 25.6% (n=20) were very confident in being able to explain DMC to a patient. CONCLUSIONS: Healthcare professionals working in this area urgently require support in the form of formal training and defined roles. Given what can be at stake for an individual undergoing a DMC assessment, it is imperative that improvements are made to upskill the workforce and utilise expertise of all healthcare professionals.

Using interRAI Assessment for Research: Developing a National Research Agenda in Aotearoa New Zealand.

interRAI provides a suite of standardized, validated instruments used to assess health and psychosocial well-being, and to inform person-centered care planning. Data obtained from these standardized tools can also be used at a population level for research and to inform policy, and interRAI is currently used in more than 40 countries globally. We present a brief overview of the use of interRAI internationally within research and policy settings, and then introduce how interRAI is used within the universal public health system in Aotearoa New Zealand (NZ), including considerations relating to Maori, the Indigenous people of NZ. In NZ, improvement in interRAI data utilization for research purposes was called for from aged care, health providers, and researchers, to better use these data for quality improvement and health advancement for New Zealanders. A national research network has been established, providing a medium for researchers to form relationships and collaborate on interRAI research with a goal of translating routinely collected interRAI data to improve clinical care, patient experience, service development, and quality improvement. In 2023, the network members met (hybrid: in-person and online) and identified research priorities. These were collated and developed into a national interRAI research agenda by the NZ interRAI Research Network Working Group. Research priorities included reviewing the interRAI assessment processes, improving methods for data linkage to national data sets, exploring how Indigenous Data Sovereignty can be upheld, as well as a variety of clinically focused research topics. Implications for Practice, Policy, and Research: This appears to be the first time national interRAI research priorities have been formally identified. Priorities identified have the potential to inform quality and clinical improvement activities and are likely of international relevance. The methodology described to cocreate the research priorities will also be of wider significance for those looking to do so in other countries.

Penetration of Calcium Silicate and Epoxy Resin Sealers Into the Lateral Canals.

OBJECTIVES: The aim of this research was to compare the penetration ability of calcium silicate-based sealers (iRoot SP and TotalFill BC HiFlow) and an epoxy resin-based sealer (AH Plus) into the lateral canals using the single-cone (SC) or continuous wave compaction (CW) obturation techniques. METHODS: Ninety single-rooted human teeth received canal instrumentation and diaphanisation before artificial lateral canals were created at 3 different root levels. The specimens were randomly allocated into 6 groups based on the combination of obturation technique and sealer used. Radiographic and photographic measurements evaluated the percentage of sealer penetration. Statistical analysis was performed to compare the penetration ability amongst different types of sealers, obturation methods, and root levels. RESULTS: Although TotalFill BC HiFlow sealer combined with the CW technique demonstrated greater sealer penetration at the coronal level (P < .05), the overall penetration ability of iRoot SP, TotalFill BC HiFlow, and AH Plus was not significantly different. The deepest sealer penetration was observed at the apical root level. CONCLUSIONS: All sealers showed similar penetration abilities into the lateral canals using the SC or CW techniques in vitro. Calcium silicate-based sealers have comparable penetration ability into lateral canals compared to epoxy resin-based sealers using SC or CW obturation techniques.

Reciprocal interactions between malignant cells and macrophages enhance cancer stemness and M2 polarization in HBV-associated hepatocellular carcinoma.

Background: The tumor microenvironment of cancers has emerged as a crucial component in regulating cancer stemness and plays a pivotal role in cell-cell communication. However, the specific mechanisms underlying these phenomena remain poorly understood. Methods: We performed the single-cell RNA sequencing (scRNA-seq) on nine HBV-associated hepatocellular carcinoma (HCC) patients. The heterogeneity of the malignant cells in pathway functions, transcription factors (TFs) regulation, overall survival, stemness, as well as ligand-receptor-based intercellular communication with macrophages were characterized. The aggressive and stemness feature for the target tumor subclone was validated by the conduction of in vitro assays including sphere formation, proliferation, Annexin V apoptosis, flow cytometry, siRNA library screening assays, and multiple in vivo preclinical mouse models including mouse hepatoma cell and human HCC cell xenograft models with subcutaneous or orthotopic injection. Results: Our analysis yielded a comprehensive atlas of 31,664 cells, revealing a diverse array of malignant cell subpopulations. Notably, we identified a stemness-related subclone of HCC cells with concurrent upregulation of CD24, CD47, and ICAM1 expression that correlated with poorer overall survival. Functional characterization both in vitro and in vivo validated S100A11 as one of the top downstream mediators for tumor initiation and stemness maintenance of this subclone. Further investigation of cell-cell communication within the tumor microenvironment revealed a propensity for bi-directional crosstalk between this stemness-related subclone and tumor-associated macrophages (TAMs). Co-culture study showed that this interaction resulted in the maintenance of the expression of cancer stem cell markers and driving M2-like TAM polarization towards a pro-tumorigenic niche. We also consolidated an inverse relationship between the proportions of TAMs and tumor-infiltrating T cells. Conclusions: Our study highlighted the critical role of stemness-related cancer cell populations in driving an immunosuppressive tumor microenvironment and identified the S100A11 gene as a key mediator for stemness maintenance in HCC. Moreover, our study provides support that the maintenance of cancer stemness is more attributed to M2 polarization than the recruitment of the TAMs.

Patterns of opioid use in New Zealand older adults, 2007-2018.

OBJECTIVES: Opioid use has increased globally, dramatically increasing opioid overdose, dependence, abuse and mortality. Limited research is available on opioid use patterns in older adults in New Zealand and internationally. This study aims to address this gap by determining the incidence and prevalence of opioid use among older adults (age ≥65 years) in New Zealand from 2007 to 2018. METHODS: This was a population-based retrospective cohort study conducted using New Zealand national administrative healthcare databases. The annual opioid use incidence (2008-2018) and prevalence (2007-2018) in older adults were determined and stratified by sex, age, and opioid type and strength. We used descriptive statistics to summarise the patterns of opioid dispensing. Data analysis was conducted using MS Excel, and data linking was performed using SQL software. RESULTS: A total of 820,349 older adults were initiated on opioids during the study period. The overall incidence of opioid use in older adults showed a steady increase from 2008 to 2015; similarly, the prevalence steadily increased from 2007 to 2015, and thereafter, both rates fluctuated. A slight decrease in both prevalence and incidence rates was observed in 2018. Codeine and tramadol were the most commonly dispensed opioids during the study period. Females had a higher incidence and prevalence of all opioids than males. CONCLUSIONS: The incidence and prevalence of opioid dispensing increased in New Zealand older adults over time. Monitoring the trends of opioid use in older adults is critical to enable clinicians and policymakers to deliver early interventions to prevent future opioid-related adverse events.

Falls Risk in Long-Term Care Residents With Cognitive Impairment: Effects of COVID-19 Pandemic.

OBJECTIVES: The aim of this study was to investigate the impact of the COVID-19 pandemic on falls rates in long-term care residents with cognitive impairment. DESIGN: An observational study using routinely collected national interRAI data. SETTING AND PARTICIPANTS: Participants were from long-term care residents (age ≥60 years) who received an interRAI Long Term Care Facility assessment anywhere in New Zealand between August 17, 2018, and August 16, 2022. METHODS: The primary outcome was "At least 1 fall in the last 30 days." Based on the Cognitive Performance Scale (CPS), cognitive impairment was categorized into 3 levels: intact or borderline intact (0-1), mild to moderate impairment (2-3), and moderately to very severe impairment (4-6). The COVID-19 pandemic was divided into 3 periods (First wave: March 21, 2020, to June 8, 2020; Varying level of community outbreaks: June 9, 2020 to August 16, 2021; and Delta-Omicron wave: August 17, 2021, to August 16, 2021) and compared to a pre-COVID-19 period (August 17, 2018, to March 20, 2020). Cox regression modeling was used to study falls and interactions between CPS and COVID-19 pandemic periods, along with other established falls risk factors in the literature. RESULTS: A total of 282,518 interRAI-LTCF assessments from 75,132 unique residents were included. Interactions between CPS and COVID-19 pandemic periods found that cognitive impairment was associated with a higher hazard ratio (ranged from 1.22 to 1.37) in each of the 3 COVID-19 pandemic periods. We also found unstable health, unsteady gait, wandering, and moderate to severe ADL dependency were the strongest risk factors for falls. CONCLUSIONS AND IMPLICATIONS: Cognitively impaired long-term care residents had an increased risk for falls during the COVID-19 pandemic. This risk was influenced by several factors. In future pandemic or infection control related isolation, residents who are most at risk can be identified for targeted falls prevention programs.