OBJECTIVE: The study aims to investigate the effect of the hospital nurse shift length and patient-centered care on the perceived quality and safety of nurses in the medical-surgical and multidisciplinary wards in Malaysia.
METHODS: A cross-sectional survey has been conducted on 12 hospitals in Malaysia. Data have been collected via a questionnaire. A stratified sampling has been used. The Hayes macro regression analyses have been used to examine the mediating effects of patient-centered care between the effect of working long shifts on the perceived quality and patient safety.
RESULTS: There is a significant mediation effect of patient-centered care between the effect of shift length on the perceived quality (F = 42.90, P ˂ 0.001) and patient safety (F = 25.12, P ˂ 0.001).
CONCLUSION: Patient-centered care mitigates the effect of the shift length on the care outcomes. The study provides an input for the policymakers that patient-centered care and restructuring duty hours are important to provide high-quality patient care.
METHODS: A cross-sectional study, using the 'Hospital Survey on Patient Safety Culture (HSOPSC)' questionnaire was carried out in 2018 in SGH. Random sampling was used to select a wide range of staff in SGH. A self-administered questionnaire was distributed to 500 hospital staff consisting of doctors, nurses, pharmacist and other clinical and non-clinical staff, conducted from March to April 2018. A total of 407 respondents successfully completed the questionnaire. Therefore, the final response rate for the survey was 81.4%. This study used SPSS 22.0 for Windows and Hospital Data Entry and Analysis Tool that works with Microsoft Excel developed by United States Agency for Healthcare Research and Quality (AHRQ) to perform statistical analysis on the survey data.
RESULTS: Majority of the respondents graded the overall patient safety as acceptable (63.1%) while only 3.4% graded as excellent. The overall patient safety score was 50.1% and most of the scores related to dimensions were lower than the benchmark scores (64.8%). Generally, the mean positive response rate for all the dimensions were lower than composite data of AHRQ, except for "Organizational Learning - Continuous Improvement", which is also the highest positive response rate (80%), higher than AHRQ data (73%). The result showed that SGH has a good opportunity to improve over time as it gains experience and accumulates knowledge. On the other hand, the lowest percentage of positive responses was "Non-punitive response to error" (18%), meaning that most of the staff perceived that they will be punished for medical error.
CONCLUSIONS: The level of patient safety culture in SGH is acceptable and most of the scores related to dimensions were lower than benchmark score. SGH as a learning organisation should also address the issues of staffing, improving handoff and transition and develop a non-punitive culture in response to error.
METHODS: A systematic literature search was performed on 11 online databases for quantitative studies describing self-regulation of driving amongst older adults aged 60 years and above from database inception until December 2018. Data were described narratively and, where possible, data were pooled using random-effects meta-analysis.
RESULTS: Of the 1556 studies identified, 54 studies met the inclusion criteria and 46 studies were included in the meta-analyses. All included studies examined car drivers only. Older adults who were single or female were found to be at higher odds of driving cessation. Physical fitness, mental health, social influence, and support systems received by older adults were important driving forces influencing mobility and adjustments made in their travel patterns.
CONCLUSIONS: Driving self-regulation amongst older adults is a multifaceted decision, impacting mobility and mental health. Therefore, future interventions and support systems should not only create opportunities for retaining mobility for those who have ceased driving, but also promote better psychological and social well-being for regulators and for those who are transitioning from driving to non-driving status. Practical applications: (a) Engage and educate older adults about self-regulation, including strategies that can be adopted and non-car mobility options available. (b) Expand the research focus to explore potential interactions of factors facilitating or hindering the transition process to develop a more comprehensive framework of self-regulation. (c) Encourage ongoing research to formulate, monitor, and evaluate the effectiveness of policies and interventions implemented. (d) Expand the research horizon to explore and understand the perspectives of older adults from developing countries.
METHOD: The study was carried out by collecting data from field observation and questionnaire distribution on the street among the public. The data were statistically analyzed by applying multiple linear regression models and a series of chi-square tests.
RESULTS: The study found that the most influential factor cited by pedestrians in decision making regarding using a footbridge is the existence of an escalator. Being in a hurry and the fear of heights were significantly associated with choosing not to use a footbridge. Zebra crossing was chosen as the most favorable type of crossing facility by the majority of respondents. In addition, installation of a fence and barriers was proposed as an effective procedure to prevent jaywalking. To construct new and efficient footbridges in the future, the study suggests consideration of traffic volume, posted speed limit, and the number of lanes, because these are the most influential factors to predict the usage rate.
CONCLUSIONS: The study encourages decision makers and stakeholders to consider providing escalators for new footbridges to enhance the safety of pedestrians.
METHOD: This paper aims to develop a sustainable pedestrian gap crossing index model based on traffic flow density. It focusses on the gaps accepted by pedestrians and their decision for street crossing, where (Log-Gap) logarithm of accepted gaps was used to optimize the result of a model for gap crossing behavior. Through a review of extant literature, 15 influential variables were extracted for further empirical analysis. Subsequently, data from the observation at an uncontrolled mid-block in Jalan Ampang in Kuala Lumpur, Malaysia was gathered and Multiple Linear Regression (MLR) and Binary Logit Model (BLM) techniques were employed to analyze the results.
RESULTS AND CONCLUSIONS: From the results, different pedestrian behavioral characteristics were considered for a minimum gap size model, out of which only a few (four) variables could explain the pedestrian road crossing behavior while the remaining variables have an insignificant effect. Among the different variables, age, rolling gap, vehicle type, and crossing were the most influential variables. The study concludes that pedestrians' decision to cross the street depends on the pedestrian age, rolling gap, vehicle type, and size of traffic gap before crossing.
PRACTICAL APPLICATIONS: The inferences from these models will be useful to increase pedestrian safety and performance evaluation of uncontrolled midblock road crossings in developing countries.