Perceptions of abused Chinese women on community-based participatory approach programme in addressing their needs.

BACKGROUND: The community-based participatory approach (CBPA) has gained increasing recognition worldwide for enhancing the effectiveness of intervention. It is relatively new in Chinese societies and participants' perceptions are underexplored. This study aims to explore abused Chinese women's perceptions on the CBPA programme in addressing their needs. METHODS: A total of 11 abused Chinese women were recruited for a focus group and individual interviews. A semi-structured interview guide was used. All interviews were audio-recorded and data were transcribed verbatim. Conventional content analysis was used for analysis. RESULTS: Four themes were identified regarding the women's perceptions and experiences of the community-based participatory approach programme: (1) Women's perceived acceptability of the CBPA programme; (2) Women's perceived usefulness of the CBPA programme; (3) Women's perceived feasibility of the CBPA programme; and (4) Empowering the women through participating in CBPA. CONCLUSIONS: Abused Chinese women had high perceived acceptance and positive experiences towards the community-based participatory approach. Women benefited from their robust participation throughout the process. The findings confirm the potential of using the community-based participatory approach in designing interventions for future programme planning and intervention to address the needs of abused Chinese women.

Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19.

BACKGROUND: The COVID-19 outbreak has revealed a high demand for timely surveillance of pandemic developments. Google Trends (GT), which provides freely available search volume data, has been proven to be a reliable forecast and nowcast measure for public health issues. Previous studies have tended to use relative search volumes from GT directly to analyze associations and predict the progression of pandemic. However, GT's normalization of the search volumes data and data retrieval restrictions affect the data resolution in reflecting the actual search behaviors, thus limiting the potential for using GT data to predict disease outbreaks. OBJECTIVE: This study aimed to introduce a merged algorithm that helps recover the resolution and accuracy of the search volume data extracted from GT over long observation periods. In addition, this study also aimed to demonstrate the extended application of merged search volumes (MSVs) in combination of network analysis, via tracking the COVID-19 pandemic risk. METHODS: We collected relative search volumes from GT and transformed them into MSVs using our proposed merged algorithm. The MSVs of the selected coronavirus-related keywords were compiled using the rolling window method. The correlations between the MSVs were calculated to form a dynamic network. The network statistics, including network density and the global clustering coefficients between the MSVs, were also calculated. RESULTS: Our research findings suggested that although GT restricts the search data retrieval into weekly data points over a long period, our proposed approach could recover the daily search volume over the same investigation period to facilitate subsequent research analyses. In addition, the dynamic time warping diagrams show that the dynamic networks were capable of predicting the COVID-19 pandemic trends, in terms of the number of COVID-19 confirmed cases and severity risk scores. CONCLUSIONS: The innovative method for handling GT search data and the application of MSVs and network analysis to broaden the potential for GT data are useful for predicting the pandemic risk. Further investigation of the GT dynamic network can focus on noncommunicable diseases, health-related behaviors, and misinformation on the internet.

Oral care knowledge, attitude and practice among nursing staff in acute hospital settings in Hong Kong.

Investigating the oral care delivered by nursing staff in acute hospital setting is having a remarkable shortage within the current literature. This was provoked due to lack of previous performed investigation in the acute hospital setting besides inconsistent existence of a standardized and comprehensive oral care knowledge, attitude and practice (KAP) instrumentation. Therefore, the purpose of this study is to assess the oral care KAP level for inpatients among nursing staff; to identify possible barriers to the provision of oral care; and to identify training preferences to improve the oral care of inpatients, in acute hospital settings in Hong Kong; and to provide standardized comprehensive KAP based assessment tool that would benefit and guide other future studies. In this study, a cross-sectional survey was conducted after a 55-item self-administered structured questionnaire was developed. A modified KAP tool was developed. The tool includes 4 domains: oral care knowledge, attitude, practice, and experience. Nursing staff was recruited from July 2018 to April 2019 via convenience sampling. Either online or printed questionnaires were completed. Proportions of nursing staff with good KAP, as defined by having 60% of the total score in the respective domain, were estimated with 95% confidence intervals (CI). Analysis of covariance was used to compare the mean scores of KAP among different independent variables and identify the factors associated with good KAP. 404 nursing staff were recruited. Approximately 29.5%, 33.7% and 14.9% of the respondents had good oral care knowledge, attitude and practice, respectively, and 53.2% of the respondents had unpleasant oral care experience. Better oral care practice was associated with higher levels of oral care knowledge (ß = 0.1) and oral care attitude (ß = 0.3). To conclude: nursing staff in acute hospital settings reported low levels of oral care KAP with variations between the RN, EN and HCA. This study adds to the literature the association between oral care unpleasant experiences and the oral care practice, as well as oral care knowledge and attitude which also in turns associated with practice. The developed standardised tool could be applied for future studies. Recommendations on the future research, training and practices were made.

A feasibility study on home-based kyphosis-specific exercises on reducing thoracic hyperkyphosis in older adults.

Objectives: This study aimed to assess the feasibility of the home-based kyphosis-specific exercises among Chinese older adults with different exercise habits and explore its potential effects on reducing the kyphosis angle and improving physical performance. Methods: A single-group, pre-and post-test design was conducted according to CONSORT 2010 statement: extension for pilot and feasibility trials. A total of 20 participants aged ≥60 with thoracic hyperkyphosis and rehabilitation potential were recruited from four local communities in Wuhan, China. Participants underwent a six-week home-based kyphosis-specific exercises intervention that included warm-up, muscle strengthens, spinal alignment, spinal mobility and flexibility, and cool down five sections (22 exercises). The intervention involved seven 1-h group classes and 35 times daily home practice with identical content. At pre- and post-intervention, the participants' kyphosis angle in two standing postures, static balance, dynamic balance, cardiopulmonary function, dynamic gait assessment, pain, and self-image were assessed and compared. Feasibility was assessed by group class attendance, home practice adherence, and participant evaluations. Results: All participants completed group classes and >75% home practice. Post-intervention, the participant's kyphosis angle in relaxed and best-standing postures was changed by -12.0° (-15.5°, -4.0°) (Z = - 3.98, P < 0.001）and -10.0° (-14.0°, -5.3°) (Z = -3.79, P < 0.001), respectively. In addition, participants had significantly less pain (P < 0.001), better self-image (P < 0.001), and improved performance in five physical assessments (P < 0.01). Different pre-intervention hyperkyphosis angle and daily physical activity did not affect intervention effects. Most participants considered the interventional exercise as moderate intensity and satisfactory. Conclusions: Home-based kyphosis-specific exercises showed the possibility of being a feasible intervention. And it was advantageous to reducing the kyphosis angle and improving physical performance.

Interviewer bias when using multiple mini-interviews in selecting student nurses in a Chinese setting.

BACKGROUND: Interviewer effects may cause unfairness in assessments in multiple mini-interviews (MMIs). Due to cultural differences, the bias factors of interviewers may vary between the East and the West. MMIs are a relatively new type of assessment setting in China and few studies have been conducted to examine the interviewer effects of MMIs in this context. OBJECTIVES: We adopted a multi-faceted Rasch measurement (MFRM) to measure interviewer effects in assessments in Hong Kong. METHODS: Data were collected from a nursing school in Hong Kong. There were 431 candidates and 12 interviewers engaged in a six-station MMI setting. The scores collected from the interviews were analyzed in terms of 1) interviewer stringency/leniency, 2) candidate gender, 3) interview time, and 4) rating category in the station. The Student's t-statistic values were calculated to investigate the marking tendencies of individual interviewers. RESULTS: The research findings suggest that interviewers differ in their degree of stringency/leniency, but the number of candidates examined by each interviewer does not affect interviewer stringency/leniency in terms of the interviewer's assessment. There is not sufficient evidence indicating that candidate gender and interview time are bias factors affecting assessment score in this study. Among the six rating categories examined, honesty/integrity is the most stringent category, while self-awareness is the most lenient category. Interview bias from individuals was identified. When we consider the interview scores given by individual interviewers, it is evident that some interviewers may have been biased toward a certain gender or rating categories. CONCLUSIONS: MMIs are useful when selecting student nurses in a Chinese setting. However, interviewer bias may exist. We used an MFRM to better understand interviewer bias across various dimensions. The present study contributes to the development and use of MMIs in non-Western countries and can be used as a reference to extend this research to other locations.

An automatic speech analytics program for digital assessment of stress burden and psychosocial health.

The stress burden generated from family caregiving makes caregivers particularly prone to developing psychosocial health issues; however, with early diagnosis and intervention, disease progression and long-term disability can be prevented. We developed an automatic speech analytics program (ASAP) for the detection of psychosocial health issues based on clients' speech. One hundred Cantonese-speaking family caregivers were recruited with the results suggesting that the ASAP can identify family caregivers with low or high stress burden levels with an accuracy rate of 72%. The findings indicate that digital health technology can be used to assist in the psychosocial health assessment. While the conventional method requires rigorous assessments by specialists with multiple rounds of questioning, the ASAP can provide a cost-effective and immediate initial assessment to identify high levels of stress among family caregivers so they can be referred to social workers and healthcare professionals for further assessments and treatments.

Predicting the burden of family caregivers from their individual characteristics.

This study examined the association between caregivers' burdens and their individual characteristics and identified characteristics that are useful for predicting the level of caregiver burden. We successfully surveyed 387 family caregivers, having them complete the caregiver burden inventory scale (CBI) and an individual characteristic questionnaire. When we compared the average CBI scores between groups with a particular individual characteristic (including caring for older adult(s), educational level, employment status, place of birth, marital status, financial status, need for family support, need for friend support, and need for nonprofit organizational support), we found a significant difference in the average scores. From a logistic regression model, with burden level as the outcome, we found that caring for older adult(s), educational level, employment status, place of birth, financial situation, and need for nonprofit organizational support were significant predictors of the burden level of caregivers. The research findings suggest that certain individual characteristics can be adopted for identifying and quantifying caregivers who may have a higher level of burden. The findings are useful to uncover caregivers who may need prompt support and social care.

A longitudinal examination of tablet self-management technology acceptance by patients with chronic diseases: Integrating perceived hand function, perceived visual function, and perceived home space adequacy with the TAM and TPB.

BACKGROUND: Health information technologies (HITs) are increasingly being used to support the self-management of chronic diseases. However, patients' initial or continued acceptance of such technologies is not always achieved. OBJECTIVE: The aim of this study was to develop a theory-driven HIT acceptance model to examine factors affecting acceptance of HIT (measured by behavioral intention; BI) for disease self-management among patients with chronic diseases, in which we also focused on three additional, previously unexplored factors related to perceived hand function (PHF), perceived visual function (PVF), and perceived space adequacy (PSA) and a longitudinal scrutinization of changes in the effects of these factors on acceptance over time. METHODS: The theoretical basis of our acceptance model was drawn from the technology acceptance model and the theory of planned behavior. The model was further extended by including patients' PHF, PVF (related to patients with chronic diseases who are mostly elderly), and PSA (related to the patients' home environment). The model was tested in the context of type 2 diabetes and hypertension self-management via a touchscreen tablet-based system over a 24-week period. A questionnaire was administered at four time points (baseline and 8, 16, and 24 weeks after implementation) to collect data from 151 patients with coexisting type 2 diabetes and hypertension. We tested the model at each time point using partial least squares structural equation modeling. RESULTS: Perceived usefulness of the self-management system influenced BI directly at 8 and 24 weeks and indirectly at 8, 16, and 24 weeks. Perceived ease of use indirectly affected BI at 8, 16, and 24 weeks. Attitude directly affected BI at 8, 16, and 24 weeks. Perceived behavioral control directly influenced BI at baseline and 8 and 16 weeks. Subjective norms indirectly influenced BI at 8, 16, and 24 weeks. PHF and PVF indirectly influenced BI over the entire study period. PSA influenced BI directly at 16 weeks and indirectly at 8, 16, and 24 weeks. CONCLUSION: The effects of the proposed factors in our model on patient-focused HIT acceptance changed over a longer time period, emphasizing the importance of further investigation of the longitudinal mechanisms influencing technology acceptance behavior. It is recommended that healthcare practitioners consider such changes when implementing comparable technologies. Moreover, beyond technology attributes, the characteristics, needs, and limitations of older adults and elderly patient users and their home environments should also be considered in the design and implementation of patient-focused HIT systems for chronic disease self-management at home.

On topological properties of COVID-19: predicting and assessing pandemic risk with network statistics.

The spread of coronavirus disease 2019 (COVID-19) has caused more than 80 million confirmed infected cases and more than 1.8 million people died as of 31 December 2020. While it is essential to quantify risk and characterize transmission dynamics in closed populations using Susceptible-Infection-Recovered modeling, the investigation of the effect from worldwide pandemic cannot be neglected. This study proposes a network analysis to assess global pandemic risk by linking 164 countries in pandemic networks, where links between countries were specified by the level of 'co-movement' of newly confirmed COVID-19 cases. More countries showing increase in the COVID-19 cases simultaneously will signal the pandemic prevalent over the world. The network density, clustering coefficients, and assortativity in the pandemic networks provide early warning signals of the pandemic in late February 2020. We propose a preparedness pandemic risk score for prediction and a severity risk score for pandemic control. The preparedness risk score contributed by countries in Asia is between 25% and 50% most of the time after February and America contributes around 40% in July 2020. The high preparedness risk contribution implies the importance of travel restrictions between those countries. The severity risk score of America and Europe contribute around 90% in December 2020, signifying that the control of COVID-19 is still worrying in America and Europe. We can keep track of the pandemic situation in each country using an online dashboard to update the pandemic risk scores and contributions.

Analyzing Cross-country Pandemic Connectedness During COVID-19 Using a Spatial-Temporal Database: Network Analysis.

Communicable diseases including COVID-19 pose a major threat to public health worldwide. To curb the spread of communicable diseases effectively, timely surveillance and prediction of the risk of pandemics are essential. The aim of this study is to analyze free and publicly available data to construct useful travel data records for network statistics other than common descriptive statistics. This study describes analytical findings of time-series plots and spatial-temporal maps to illustrate or visualize pandemic connectedness. We analyzed data retrieved from the web-based Collaborative Arrangement for the Prevention and Management of Public Health Events in Civil Aviation dashboard, which contains up-to-date and comprehensive meta-information on civil flights from 193 national governments in accordance with the airport, country, city, latitude, and the longitude of flight origin and the destination. We used the database to visualize pandemic connectedness through the workflow of travel data collection, network construction, data aggregation, travel statistics calculation, and visualization with time-series plots and spatial-temporal maps. We observed similar patterns in the time-series plots of worldwide daily flights from January to early-March of 2019 and 2020. A sharp reduction in the number of daily flights recorded in mid-March 2020 was likely related to large-scale air travel restrictions owing to the COVID-19 pandemic. The levels of connectedness between places are strong indicators of the risk of a pandemic. Since the initial reports of COVID-19 cases worldwide, a high network density and reciprocity in early-March 2020 served as early signals of the COVID-19 pandemic and were associated with the rapid increase in COVID-19 cases in mid-March 2020. The spatial-temporal map of connectedness in Europe on March 13, 2020, shows the highest level of connectedness among European countries, which reflected severe outbreaks of COVID-19 in late March and early April of 2020. As a quality control measure, we used the aggregated numbers of international flights from April to October 2020 to compare the number of international flights officially reported by the International Civil Aviation Organization with the data collected from the Collaborative Arrangement for the Prevention and Management of Public Health Events in Civil Aviation dashboard, and we observed high consistency between the 2 data sets. The flexible design of the database provides users access to network connectedness at different periods, places, and spatial levels through various network statistics calculation methods in accordance with their needs. The analysis can facilitate early recognition of the risk of a current communicable disease pandemic and newly emerging communicable diseases in the future.

Assessing the effect of a mind-body exercise, qigong Baduanjin, on sleep disturbance among women experiencing intimate partner violence and possible mediating factors: a randomized-controlled trial.

STUDY OBJECTIVES: To evaluate the effects of a mind-body exercise, qigong Baduanjin, on sleep disturbances in women experiencing intimate partner violence and explore the mediating role of depressive symptoms, perceived stress, and inflammation in producing the effects. METHODS: A subgroup of a parent randomized controlled trial was randomized for a 22-week Baduanjin intervention (n = 94) or wait-list control (n = 92). Questionnaires, including the General Sleep Disturbance Scale, Perceived Stress Scale, and Beck Depression Inventory version II, were administered at baseline, posttraining (6 weeks), and postintervention (22 weeks), and blood samples were collected to assess tumor necrosis factor and interleukin 6 levels at baseline and postintervention only. RESULTS: Of the 186 participants, 170 completed the study. Results indicate that the total sleep disturbance scores for the intervention group were significantly lower than those for the wait-list control group at week 6 (difference = -7.96; 95% confidence interval [CI], -13.63 to -2.30; P = .006) and week 22 (difference = -7.17; 95% CI, -12.58 to -1.76; P = .01). Mediation analysis showed a statistically significant indirect effect of the intervention on sleep improvement through reducing depressive symptoms (ß = 2.58, 95% CI, 0.69 to 5.09), while the mediating effects of perceived stress and inflammation were not significant. CONCLUSIONS: Qigong Baduanjin can be recommended for women who experience intimate partner violence and report sleep disturbances. More research is needed to understand the clinical significance of the observed sleep improvements. CLINICAL TRIAL REGISTRATION: Registry: ClinicalTrials.gov; Name: Qigong Intervention Program for Abused Chinese Women; URL: https://clinicaltrials.gov/ct2/show/NCT02060123; Identifier: NCT02060123.

Rubric-based debriefing to enhance nursing students' critical thinking via simulation.

Introduction: Debriefing plays a vital role in effective simulation-based learning by providing feedback to students to foster their development of critical thinking in the learning. Objectives: We evaluated the effects of rubric-based debriefing on students' critical thinking, level of confidence in performing tasks and communication. Method: This is a quasi-experimental study. Final year nursing undergraduates (n=204) of a local university participated in the study. In the intervention group, students performed two 20 min simulation sessions individually with simulated patients followed by a 15 min individual rubric-based debriefing between the two sessions and had a 5 min of that at the end. In the control group, students performed the same simulation sessions followed by a 20 min individual rubric-based debriefing at the end. The primary outcome was comparing the critical thinking of students between two groups, which was assessed by The Northeastern Illinois University Critical Thinking Rubric. The qualitative data were collected by an open-ended question. Results: Based on generalised estimating equation models, the intervention effect over time was found to be statistically significant (ß=2.06, 95% CI 1.04 to 3.08) in enhancing students' critical thinking. No statistically significant differences were reported in the self-perceived confidence levels between the intervention group and control group. Qualitative data reflected positive feedback from students on simulation activities. Conclusions: This is the first study to provide evidence that a rubric-based debriefing enhances students' critical thinking in simulation learning.

Management of Domestic Violence by Primary Care Physicians in Hong Kong: Association With Barriers, Attitudes, Training, and Practice Background.

While primary care physicians (PCPs) have opportunities to recognize patients who encounter domestic violence (DV) by intimate partners, warning symptoms such as unexplained physical injury, bruising, anxiety, and depression are often missed during clinic visits. This study investigated the barriers of Hong Kong PCPs toward managing DV, including recognition, management, and referrals of these patients. Four focus group interviews were conducted to explore the in-depth opinions of PCPs on managing DV in Hong Kong. The themes identified were investigated in a questionnaire survey with data from 504 PCPs working in public and private sectors. Factor analysis of the survey data suggested four major barrier factors: (a) worries about the potential harms of intervening in patients' domestic affairs and DV issues, (b) lack of guidelines and support services, (c) limited skills and time in managing DV, and (d) patients' reluctance in disclosing DV issues. PCPs with more years of practice had more worries about intervening in domestic issues (Factor 1), while the younger PCPs tended to perceive limited skills and time in managing DV cases as barriers (Factor 3). PCPs working in the public setting were more likely to ask patients about DV (M = 5.4 vs. 2.9), suspected DV (M = 3.8 vs. 2.3), and managed DV (M = 1.7 vs. 1.0) in the past 5 years compared with the private PCPs. Some PCPs in the focus groups expressed the view that DV cases should be handled by social workers instead of doctors. Survey respondents who held such views about doctors' limited role in DV management also scored higher in all of the barrier factors. The findings suggest that there are boundaries between domestic and medical realms, especially in a Chinese context. Resolving PCPs' worries by training, provision of DV management guidelines, and referral pathway to social workers may be good starting points to bridge the gaps.

Pandemic risk of COVID-19 outbreak in the United States: An analysis of network connectedness with air travel data.

OBJECTIVES: The United States has become the country with the largest number of COVID-19 reported cases and deaths. This study aims to analyze the pandemic risk of COVID-19 outbreak in the US. METHODS: Time series plots of the network density, together with the daily reported confirmed COVID-19 cases and flight frequency in the five states in the US with the largest numbers of COVID-19 cases were developed to discover the trends and patterns of the pandemic connectedness of COVID-19 among the five states. RESULTS: The research findings suggest that the pandemic risk of the outbreak in the US could be detected as early as the beginning of March. The signal was prior to the rapid increase of reported COVID-19 cases and flight reduction measures. Travel restriction can be strengthened at an early stage of the outbreak while more focus of local public health measures can be addressed after community spread. CONCLUSIONS: The study demonstrates the application of network density on detection of pandemic risk and its relationship with air travel restriction in order to provide useful information for policymakers to better optimize timely containment strategies to mitigate the outbreak of infectious diseases.

Factors that facilitate recognition and management of domestic violence by primary care physicians in a Chinese context - a mixed methods study in Hong Kong.

BACKGROUND: Domestic violence is common in the community. Many of its victims present to primary care physicians (PCPs) but are not being recognized and managed. The barriers, with specific reference to a Chinese cultural context, were investigated earlier. This paper explored the factors which facilitated the process of recognizing and managing suspected cases of domestic violence by PCPs in Hong Kong. METHODS: Four focus group interviews were conducted to explore in-depth the experiences of PCPs in recognition, management and referral of domestic violence cases from which facilitators were identified. The relevant themes were then investigated in a questionnaire survey with 504 PCPs working in public and private sectors. RESULTS: The focus group participants emphasized mood symptoms as useful indicators for probable abuse and continuity of care was important to unmask issues of domestic violence. The top facilitators perceived by the respondents of the survey included: a trusting doctor-patient relationship (99.8%), good communication skills (99.0%), patients' unexplained bruises (96.3%), medical history (94.6%), and mood symptoms (94.4%). Further, the survey found that PCPs with longer years of practice, a medical degree obtained from Western countries, and postgraduate training in family counselling or psychological medicine perceived more facilitators in managing domestic violence. CONCLUSIONS: Without a local screening policy and training protocol to manage domestic violence, PCPs regarded their skills in mental healthcare and good relationships with patients as the key facilitators. While training in mental health care helps PCPs manage domestic violence, a specific protocol emphasizing medical-social collaboration is anticipated to facilitate them to take a more proactive and effective stance from screening to management.

Visualizing COVID-19 pandemic risk through network connectedness.

With the domestic and international spread of the coronavirus disease 2019 (COVID-19), much attention has been given to estimating pandemic risk. We propose the novel application of a well-established scientific approach - the network analysis - to provide a direct visualization of the COVID-19 pandemic risk; infographics are provided in the figures. By showing visually the degree of connectedness between different regions based on reported confirmed cases of COVID-19, we demonstrate that network analysis provides a relatively simple yet powerful way to estimate the pandemic risk.